Arterial Blood Gas Dynamics and Clinical Outcomes After Mechanical Thrombectomy in Acute Ischemic Stroke

Arterial Blood Gas Dynamics and Clinical Outcomes After Mechanical Thrombectomy in Acute Ischemic Stroke | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Arterial Blood Gas Dynamics and Clinical Outcomes After Mechanical Thrombectomy in Acute Ischemic Stroke Buket Özkara Yılmaz, Ramazan Şencan, Burak Akpek, Erman Altunışık This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7978508/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 21 Jan, 2026 Read the published version in SN Comprehensive Clinical Medicine → Version 1 posted 9 You are reading this latest preprint version Abstract Objective This study aimed to evaluate the temporal changes in arterial blood gas (ABG) parameters and their relationship with clinical outcomes in patients undergoing mechanical thrombectomy due to acute ischemic stroke. Materials and Methods A total of 65 patients (mean age: 67.7 ± 14.4) who underwent mechanical thrombectomy at Gaziantep City Hospital were included. Arterial blood gas parameters (pH, SaO₂, PaCO₂, PaO₂, lactate, HCO₃) were recorded before thrombectomy and at the 1st, 3rd, and 5th hours post-thrombectomy. Clinical outcomes were assessed using pre- and post-treatment NIHSS scores, ASPECT scores, modified Rankin Scale (mRS) scores, and the presence of hemorrhage based on ECASS-II criteria. Results No significant correlation was found between arterial blood gas parameters and clinical outcome scores (NIHSS and 3-month mRS). However, an increase in preprocedural pH was significantly associated with higher post-procedural ASPECT scores (β = 0.737, p = 0.017), while elevated preprocedural lactate levels were significantly associated with lower post-ASPECT scores (β = − 2.326, p < 0.001). The most significant predictors of poor clinical outcome (3-month mRS ≥ 3) were higher baseline NIHSS (p = 0.019) and lower post-ASPECT scores (p = 0.019). Temporal changes in ABG parameters showed no significant effect on mRS scores. Conclusion Although certain pre-thrombectomy ABG parameters (particularly pH and lactate) are associated with neuroimaging findings, their independent predictive value for clinical outcomes appears limited. ABG monitoring may contribute to prognostic evaluation, yet its direct impact on functional outcome (mRS) is weak. ischemic stroke anterior circulation thrombectomy arterial blood gas İNTRODUCTİON Acute ischemic stroke (AIS) accounts for approximately 85% of all stroke cases and is characterized by the sudden onset of neurological deficits, requiring urgent intervention [ 1 ]. One of the most common underlying mechanisms in these patients is large vessel occlusion in the anterior circulation. In such cases, intravenous thrombolysis often proves insufficient, making mechanical thrombectomy (MT) the preferred treatment modality [ 2 , 3 ]. Successful early recanalization through MT can significantly improve functional outcomes by limiting the expansion of the infarct core [ 4 ]. However, despite achieving vascular reperfusion, not all patients experience clinical improvement. This phenomenon, referred to as "futile recanalization," may manifest as neurological deterioration, hemorrhagic transformation, or persistent functional dependency [ 5 ]. Therefore, identifying early prognostic biomarkers has gained increasing importance. Arterial blood gas (ABG) analysis is an invasive yet easily applicable tool that reflects the patient’s metabolic and respiratory status. Key ABG parameters including pH, oxygen saturation (SaO₂), partial pressures of oxygen (PaO₂) and carbon dioxide (PaCO₂), lactate, and bicarbonate (HCO₃) provide rapid information about tissue perfusion, hypoxia, acidosis, and metabolic dysfunction [ 6 ]. In critically ill patients, disturbances in these parameters have been linked to increased morbidity and mortality [ 6 , 7 ]. However, data on the prognostic significance of ABG alterations in stroke patients remain limited. In particular, the association between ABG values—measured before and after thrombectomy—and clinical scoring systems such as NIHSS, mRS, and ASPECT, or hemorrhagic complications, has yet to be clearly elucidated. Preliminary findings suggest that elevated lactate may be associated with poor clinical outcomes [ 8 ], while fluctuations in pH may reflect reperfusion injury and cerebral edema [ 9 , 10 ]. In this study, we aimed to investigate the temporal changes in arterial blood gas parameters at multiple time points before and after mechanical thrombectomy in patients with acute ischemic stroke, and to assess the relationship of these changes with clinical outcomes including early and late neurological recovery and intracranial hemorrhage. MATERİALS AND METHODS This study included 65 patients diagnosed with acute ischemic stroke due to anterior circulation large vessel occlusion who underwent mechanical thrombectomy and were followed in the Neurology Intensive Care Unit of Gaziantep City Hospital. Inclusion criteria: Age ≥18 years Diagnosis of acute ischemic stroke due to internal carotid artery (ICA) occlusion, middle cerebral artery (MCA) M1 occlusion, or tandem occlusion Baseline Alberta Stroke Program Early CT Score (ASPECTS) >6 Successful reperfusion after mechanical thrombectomy with a Thrombolysis in Cerebral Infarction (TICI) score of 2b or 3 Exclusion criteria: Presence of intracranial hemorrhage prior to thrombectomy Missing arterial blood gas data Chronic obstructive pulmonary disease (COPD), obstructive sleep apnea, or other active/chronic obstructive pulmonary conditions Acute respiratory distress syndrome (ARDS) Decompensated congestive heart failure Severe hepatic or renal dysfunction Demographic data (age, sex) and comorbidities were retrieved from patient medical records. Clinical assessments included pre- and 24-hour post-thrombectomy NIH Stroke Scale (NIHSS) scores, modified Rankin Scale (mRS) scores at baseline, 1 week post-procedure, and at 3-month follow-up, as well as ASPECT scores before and after thrombectomy. ASPECT score was evaluated by 2 different neurologists and there was agreement between the evaluators. Reperfusion success was evaluated using the TICI score. Arterial blood gas (ABG) parameters including pH, oxygen saturation (SaO₂), partial pressure of carbon dioxide (PaCO₂), partial pressure of oxygen (PaO₂), lactate, and bicarbonate (HCO₃) were measured at four time points: Before mechanical thrombectomy 1 hour after recanalization 3 hours after thrombectomy 5 hours after thrombectomy Post-thrombectomy hemorrhagic transformation was evaluated using the European Cooperative Acute Stroke Study II (ECASS-II) classification [11], and categorized into the following subtypes: Hemorrhagic infarction (HI): HI-1: Small petechiae along the margins of the infarct HI-2: More confluent petechiae within the infarcted area without mass effect Parenchymal hematoma (PH): PH-1: Hemorrhage involving 30% of the infarcted area with significant mass effect Statistical Analysis All statistical analyses were performed using IBM SPSS Statistics version 23 and the MASS package in R software. The normality of data distribution was assessed using the Shapiro–Wilk and Kolmogorov–Smirnov tests. Fisher’s Exact Test was used to evaluate associations between categorical variables. For comparison of two independent groups, the Independent Samples t-test was used for normally distributed variables, while the Mann–Whitney U test was applied for non-normally distributed variables.Pearson’s correlation coefficient was employed to assess relationships between normally distributed continuous variables, while Spearman’s rho was used for non-normally distributed variables. Robust regression analysis was applied to evaluate the effect of independent variables on non-normally distributed dependent variables. Binary logistic regression analysis was used to identify risk factors associated with poor clinical outcome and the presence of hemorrhage. Results were presented as frequency (percentage) for categorical variables and as mean ± standard deviation or median (minimum–maximum) for continuous variables. A p-value of <0.050 was considered statistically significant. RESULTS Table 1 Analysis of independent variables affecting ASPECT (post-thrombectomy) score using Robust Regression Analysis β1 (%95 CI) SE β2 t p VIF Constant -17,84 (-142,634 − 106,954) 62,131 -0,287 0,775 Sex (male) female -0,004 (-0,043 − 0,036) 0,020 -0,021 -0,185 0,854 1,285 TICI (recanalization )(2c) 3 -0,07 (-0,233–0,093) 0,081 -0,159 -0,858 0,395 3,384 hemorrhagic transformation (No) Yes -0,217 (-1,451–1,016) 0,614 -0,066 -0,354 0,725 3,424 Chronic disease (No) Yes 3,244 (-13,683 − 20,171) 8,427 0,067 0,385 0,702 2,990 Age -0,032 (-0,082 − 0,018) 0,025 -0,158 -1,273 0,209 1,510 NIHSS (BT) 0 (-0,149–0,149) 0,074 -0,001 -0,005 0,996 3,387 mRS (BT) -0,01 (-0,046 − 0,026) 0,018 -0,069 -0,569 0,572 1,430 pH (BT) 0,737 (0,138–1,336) 0,298 0,277 2,470 0,017 1,237 Sa02 (BT) 0,24 (-0,108–0,588) 0,173 0,255 1,384 0,172 3,348 PaC02 (BT) -0,521 (-1,648–0,606) 0,561 -0,105 -0,929 0,357 1,264 Pa02 (BT) -0,011 (-1,231–1,209) 0,607 -0,002 -0,018 0,986 1,409 Lactate (BT) -2,326 (-3,568 - -1,083) 0,619 -0,437 -3,758 < 0,001 1,330 HC03 (BT) 0,337 (-0,999–1,673) 0,665 0,060 0,507 0,614 1,367 F = 3,722, p < 0,001, R 2 =%49,18, β 1 : Unstandardized beta coefficient, β 2 : Standardized beta coefficient, BT: Before thrombectomy, SE: Standard error. The variables affecting the ASPECT (post-procedure) score were evaluated with robust regression analysis and the model was found to be significant (F = 3.722; p < 0.001). The variables explained 49.18% of the variance of the score. The increase in the pH value before thrombectomy significantly increased the ASPECT score (β = 0.737; p = 0.017), while the increase in the lactate level decreased the score (β=–2.326; p 0.05). (Table 1 ) Table 2 Comparison of blood gas, radiological and clinical parameters according to chronic period mRS score outcome after mechanical thrombectomy (MT) 3rd month mRS after MT Test statistic p 0–2 3–6 Age 62,82 ± 15,54 70,21 ± 13,25 -2,006 0,049 NIHSS BT 12,86 ± 4,69 17,47 ± 5,23 -3,467 0,01 NIHSS AT 8,18 ± 4,88 19,65 ± 10,01 -6,203 < 0,01 ASPECT BT (Quartile) 10(8,75 − 10) 10(9–10) -1,173(z) 0,241 ASPECT AT 7,23 ± 2,26 4,95 ± 2,29 3,791 < 0,01 pH BT 7,40 ± 0,44 7,39 ± 0,54 0,832 0,408 SaO2 BT (Quartile) 84,45(77,55–92,97) 88,40(77,80–94,60) -0,853(z) 0,394 PaCO2 BT 39,90 ± 6,83 38,30 ± 6,08 0,962 0,340 PaO2 BT 33,05 32,98 -0,14 0,989 Lactate BT 1,89 ± 0,70 2,01 ± 1,00 -0,482 0,631 HCO3 BT (Quartile) 23,70(22,77 − 25,60) 24,10(22,50 − 25,00) -0,139(z) 0,890 pH 1 hour AT 7,41 ± 0,29 7,40 ± 0,83 0,299 0,766 SaO2 1 hour AT (Quartile) 93,15(91,92–96,55) 95,80(89,40–98,10) -1,109(z) 0,267 PaCO2 1 hour AT 37,43 ± 6,73 36,10 ± 6,63 0,756 0,452 PaO2 1 hour AT (Quartile) 76,55(70,47–82,82) 79,50(71,90–113,00) -1,747(z) 0,081 Lactate 1 hour AT (Quartile) 1,25(0,97 − 2,10) 1,50(0,90 − 2,00) -0,854(z) 0,393 HCO3 1 hour AT 23,79 ± 2,25 22,99 ± 3,30 1,013 0,315 pH 3 hour AT Quartile) 7,42(7,41 − 7,44) 7,43(7,38 − 7,46) -0,652(z) 0,515 SaO2 3 hour AT 92,41 ± 5,91 89,40 ± 11,09 1,427 0,159 PaCO2 3 hour AT (Quartile) 34,35(31,02–37,87) 34,70(32,60 − 38,60) -0,638(z) 0,524 PaO2 3 hour AT (Quartile) 80,80(73,82–93,10) 80,40(71,30–98,00) -0,021(z) 0,983 Lactate 3 hour AT (Quartile) 1,05(0,77 − 1,65) 1,20(0,90 − 1,70) -0,681(z) 0,496 HCO3 3 hour AT 24,10 ± 3,71 23,68 ± 3,45 0,456 0,650 pH 5 hour AT (Quartile) 7,43(7,41 − 7,45) 7,44(7,40 − 7,46) -0,014(z) 0,989 SaO2 5 hour AT (Quartile) 93,50(90,45–98,60) 94,20(80,90–98,20) -0777(z) 0,437 PaCO2 5 hour AT 35,98 ± 7,06 36,09 ± 5,91 -0,069 0,946 PaO2 3 hour AT (Quartile) 89,25(80,75–98,77) 86,10(75,10–100) -0,111(z) 0,912 Lactate 5 hour AT (Quartile) 0,95(0,67 − 1,52) 1,00(0,80 − 1,50) -1,086(z) 0,278 HCO3 5 hour AT T 25,80 ± 4,17 24,20 ± 3,44 1,647 0,105 BT: Before thrombectomy, AT: After thrombectomy. In the analyses performed to evaluate chronic period clinical outcome with independent samples t test and Mann Whitney U test, it was found that advanced age, high NIHSS before and after the procedure and low ASPECT score after the procedure were significantly associated with poor clinical outcome, while blood gas parameters were not significantly associated with good or poor clinical outcome in the chronic period (Table 2 ). Table 3 Regression analysis results of blood gas and other factors that may affect chronic period mRS. B S.E. Wald Sig. Exp(B)(95% CI) Age ,026 ,027 ,953 ,329 1,026 (,974-1,082) Sex -,191 ,771 ,061 ,804 ,826(,182-3,745) Chronic disease 1,268 1,086 1,362 ,243 3,552(,423 − 29,862) Hemorrhagic transformation 2,635 ,953 7,652 , 006 13,941(2,155 − 90,175) NIHSS (BT) ,187 ,089 4,436 , 035 1,206(1,013 − 1,436) ASPECT (AT) -,251 ,196 1,648 ,199 0,778(,530-1,142) Ph(BT) -,247 ,212 1,350 ,245 ,781(,516-1,184) PaC02(BT) -,192 ,170 1,286 ,257 ,825(,591-1,151) P02(BT) -,002 ,024 ,009 ,925 0,998(,952-1,045) Sa02(BT) -,040 ,045 ,761 ,383 ,961(,879-1,051) Lactate(BT) ,017 ,496 ,001 ,973 1,017(,384-2,690) HC03(BT) ,446 ,427 1,089 ,297 1,562(,676-3,611) Model chi-square: 33,835 and p:0,01 Nagelkerke R 2 : 0,562 Hosmer and Lemeshow chi-square: 8,920 and p:0,258 BT: Before thrombectomy and AT: After thrombectomy. Multivariate modeling to determine the factors affecting mRS in the chronic period was significant, and high pre-procedure NIHSS and post-procedure hemorrhagic transformation were found to be associated with poor prognosis. However, blood gas parameters did not show a significant effect in this model. Again, in the same modeling, having a chronic disease was found to be 3.55 times more associated with poor prognosis. (Table 3 ). Table 4 Correlation tests between blood gas parameters measured before and after mechanical thrombectomy and 3rd month mRS value 3rd month mRS BT 1 hour AT 3 hours AT 5 hours AT r p r p r p r p pH -0,023 0,856 -0,123 0,330 0,016 0,899 -0,040 0,751 SaO2 0,072 0,568 0,078 0,535 -0,065 0,607 -0,165 0,189 PaCO2 -0,241 0,053 -0,076 0,547 0,072 0,571 0,135 0,282 PaO2 0,004 0,976 0,154 0,220 -0,060 0,635 -0,120 0,341 Laktat 0,035 0,783 0,168 0,181 0,133 0,292 0,238 0,056 HCO3 -0,104 0,411 -0,211 0,092 -0,116 0,357 -0,208 0,097 BT: Before thrombectomy, AT: After thrombectomy In the spearman’s correlation analysis of repeated measurements of blood gas parameters with chronic period mRS, no significant correlation was found, even though close to significance (p > 0.05)), with PaC02 before thrombectomy (r: -0.241 and p: 0.053) and with lactate at the 5th hour after the procedure (r: 0.238 and p: 0.056). (Table 4 ). Table 5 Evaluation of chronic period mRS with repeated measures tests and descriptive statistics of blood gas parameters Time Time and three months mRS mean ± SD p mean ± SD p 1.M 2.M 3.M 4.M mRS 1.M 2.M 3.M 4.M pH 7,39 ± 0,51 7,40 ± 0,69 7,42 ± 0,59 7,42 ± 0,59 0,001 0–2 7,40 ± 0,44 7,41 ± 0,29 7,42 ± 0,29 7,43 ± 0,40 0,929 Quartıle 7,39(7,36 − 7,43) 7,40(7,37 − 7,45) 7,42(7,39 − 7,46) 7,43(7,40 − 7,46) 3–6 7,39 ± 0,54 7,40 ± 0,83 7,42 ± 0,70 7,42 ± 0,66 PaC02 38,85 ± 6,33 36,55 ± 6,65 35,86 ± 8,16 36,05 ± 6,26 0,003 0–2 39,90 ± 6,83 37,43 ± 6,73 35,32 ± 7,77 35,98 ± 7,06 0,562 Quartıle 37,80(35,40–44,60) 36,10(31,20–39,45) 34,60(32,05–38,55 35,10(32,25–40,05 3–6 38,30 ± 6,08 36,10 ± 6,63 36,14 ± 8,43 36,09 ± 5,91 Pa02 76,57 ± 16,28 87,49 ± 27,72 85,61 ± 26,48 90,50 ± 20,04 < 0,001 0–2 75,65 ± 13,82 76,07 ± 13,68 82,31 ± 11,92 88,34 ± 10,47 0,119 Quartıle 75,20(68,55–86,00) 78,80(71,70–94,35) 80,40(72,15–96,65) 87,60(75,50–99,35) 3–6 77,04 ± 17,55 93,34 ± 31,20 87,30 ± 31,45 91,60 ± 23,52 S02 84,77 ± 12,17 90,66 ± 11,52 90,42 ± 9,70 91,02 ± 9,36 0,002 0–2 84,10 ± 10,44 91,60 ± 7,42 92,41 ± 5,91 92,73 ± 6,92 0,634 Quartıle 88,00(77,80–93,90) 94,30(91,85–97,80) 94,60(83,40–97,50) 93,80(86,70–98,30) 3–6 85,11 ± 13,07 90,18 ± 13,18 89,40 ± 11,09 90,15 ± 10,36 HC03 23,59 ± 2,55 23,26 ± 2,99 23,82 ± 3,51 24,74 ± 3,75 0,010 0–2 24,14 ± 1,89 23,79 ± 2,25 24,10 ± 3,71 25,80 ± 4,17 0,401 Quartıle 24,00(22,60 − 25,30) 23,30(21,45 − 25,60 24,20(22,25–25,90) 24,60(22,80 − 26,50) 3–6 23,31 ± 2,81 22,99 ± 3,30 23,68 ± 3,45 24,20 ± 3,44 Lactate 1,97 ± 0,90 1,66 ± 0,95 1,38 ± 0,78 1,26 ± 0,77 < 0,001 0–2 1,89 ± 0,70 1,45 ± 0,59 1,30 ± 0,74 1,12 ± 0,55 0,671 Quartıle 1,80(1,20 − 2,40) 1,50(0,95 − 2,05) 1,10(0,85 − 1,70) 1,00(0,80 − 1,50) 3–6 2,01 ± 1,00 1,78 ± 1,08 1,42 ± 0,81 1,33 ± 0,85 M: measure In the evaluation of blood gas parameters with good or poor clinical outcome obtained with Friedman and two-way anova in repeated measurements, significant changes were obtained at various times before and after the procedure, but this significance was not clinically significant when the chronic period good or poor clinical outcome was included (p > 0,05)(Table 5 ). DİSCUSSİON İn this study, we evaluated the impact of arterial blood gas (ABG) parameters on clinical outcomes in patients who underwent mechanical thrombectomy (MT) due to anterior circulation large vessel occlusion. Notably, pre-procedural pH and lactate levels were found to be associated with the post-intervention ASPECT score, which reflects brain tissue reperfusion. An increase in pre-MT pH was significantly associated with a higher ASPECT score (β = 0.737; p = 0.017), while elevated lactate levels were associated with a decrease in ASPECT score (β = − 2.326; p < 0.001). These findings support previous reports highlighting the influence of systemic metabolic balance and tissue perfusion on ischemic brain tissue [ 6 ]. The post-intervention ASPECT score emerged as a strong predictor of functional outcome; a lower ASPECT score was associated with a 2.65-fold increased risk of poor outcome on the modified Rankin Scale (mRS) at 3 months (OR = 0.377; p = 0.019). This aligns with earlier studies suggesting that brain tissue integrity and successful reperfusion during the acute phase are crucial for long-term functional recovery [ 12 ]. Other independent predictors of poor outcome included a higher baseline NIHSS score (OR = 1.32; p = 0.019) and a lower post-MT ASPECT score. These findings are consistent with prior multicenter trials emphasizing the prognostic significance of initial stroke severity and infarct volume [ 3 , 12 ]. Several studies have proposed that increasing oxygenation before recanalization may help protect the ischemic penumbra, reduce blood–brain barrier damage, and limit infarct volume [ 6 , 7 ]. Conversely, hyperoxia during the post-recanalization period has been associated with increased oxidative stress and reperfusion injury [ 8 ]. While previous observational studies have linked elevated lactate levels or decreased pH to unfavorable outcomes in stroke [ 9 , 10 ], prospective studies evaluating serial ABG monitoring in patients undergoing MT remain limited. The association of these physiological changes with clinical scores (NIHSS, mRS, ASPECT) or complications (e.g., symptomatic intracranial hemorrhage) has yet to be clearly established. In our study, no significant correlation was found between ABG parameters measured at 1, 3, and 5 hours after MT and the 3-month mRS scores. This suggests that functional outcomes may depend not only on metabolic fluctuations but also on ischemic territory dynamics, collateral circulation, and reperfusion quality [ 6 , 7 ]. Similarly, no clinical or laboratory parameters were found to significantly predict post-MT hemorrhagic transformation. In our study, preprocedural arterial pH and lactate levels were found to be significantly associated with post-thrombectomy ASPECT scores, reflecting the extent of cerebral reperfusion. This is consistent with prior findings suggesting that metabolic derangements may influence infarct evolution and tissue viability. Brouns et al. demonstrated that elevated lactate levels in the cerebrospinal fluid were strongly associated with poor neurological outcomes and higher mortality in acute ischemic stroke, indicating a central role of metabolic stress in stroke progression [ 13 ]. Similarly, Matteucci et al. reported that arterial blood gas alterations, particularly in pH and lactate, correlated with post-thrombectomy complications and functional outcomes, emphasizing the interplay between systemic metabolic status and cerebral reperfusion injury [ 14 ]. These findings support the notion that metabolic markers may serve as adjunctive prognostic tools in acute stroke, beyond conventional imaging and clinical scores. Conclusion Metabolic indicators such as pH and lactate may be important markers reflecting the success of cerebral reperfusion following mechanical thrombectomy. Initial clinical presentation and imaging scores (NIHSS, ASPECT) are the strongest predictors of long-term functional outcomes. Short-term arterial blood gas monitoring may indirectly support prognostic evaluation by reflecting systemic metabolic status. Limitations of the Study This study has a retrospective design and is limited to data from a single center. Additionally, arterial blood gas measurements were not obtained under standardized ventilation settings, which means that variations in systemic ventilatory support and oxygen delivery protocols may have influenced the results. Declarations Ethics Approval: The study was approved by the Clinical Research Ethics Committee of Gaziantep City Hospital on 18.09.2024 with decision number 51/2024 . Consent to participate: Informed consent was obtained from conscious patients and relatives of unconscious patients. Conflict of Interest: The authors declare no conflict of interest. Funding: No financial support was received for this study. Written consent for publication: Not applicable Availability of data and material: The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request Code availability: Not applicable Authors' contributions Author 1: Conceptualization, Methodology, Data curation, Writing – Original Draft. Author 2: Formal analysis, Writing – Review & Editing. Author 3: Data curation Author 4: Supervision, Validation, Critical revision. All authors read and approved the final manuscript. References Feigin VL, Norrving B, Mensah GA. Global burden of stroke. Circ Res. 2017;120(3):439–48. 10.1161/CIRCRESAHA.116.308413 . Powers WJ, Rabinstein AA, Ackerson T, et al. 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke. Stroke. 2018;49(3):e46–110. 10.1161/STR.0000000000000158 . Goyal M, Menon BK, van Zwam WH, et al. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet. 2016;387(10029):1723–31. 10.1016/S0140-6736(16)00163-X . Saver JL, Goyal M, Bonafe A, et al. Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke. N Engl J Med. 2015;372(24):2285–95. 10.1056/NEJMoa1415061 . Campbell BCV, Majoie CBLM, Albers GW, Menon BK, Demchuk AM. Penumbral imaging and functional outcome in acute ischemic stroke: a meta-analysis of individual patient data. Lancet Neurol. 2019;18(1):46–55. 10.1016/S1474-4422(18)30314-4 . Onalan A, Gurkas E, Akpinar CK, Dogan H, Acar T, Acar B, Aykac O, Uysal Kocabas Z, Balgetir F, Ozdemir AO. Arterial blood gas analysis predicts futile recanalization in mechanical thrombectomy-treated acute ischemic stroke patients: a multicenter study. Eur Rev Med Pharmacol Sci. 2024;28(4):1594–604. 10.26355/eurrev_202402_35488 . Legrand M, Dupuis C, Simon C, Gayat E, Mateo J, Payen D. Arterial pH, lactate and base excess are associated with hospital mortality in septic shock. Intensive Care Med. 2017;43(2):188–95. 10.1007/s00134-016-4583-1 . Lee YS, Bae HJ, Yoon BW, et al. Elevated arterial lactate level during acute ischemic stroke is associated with poor outcome. Neurology. 2020;94(15):e1531–9. 10.1212/WNL.0000000000009241 . Trompeter AJ, Roberts KJ, Soulika AM, et al. Venous blood gas as a predictor of outcome in sepsis: a systematic review. Am J Emerg Med. 2019;37(4):658–63. 10.1016/j.ajem.2018.07.043 . Hossmann KA. Viability thresholds and the penumbra of focal ischemia. Ann Neurol. 1994;36(4):557–65. 10.1002/ana.410360410 . Hacke W, Kaste M, Fieschi C, et al. Second European–Australasian Acute Stroke Study (ECASS II): A randomized controlled trial of recombinant tissue plasminogen activator (rt-PA) 6 hours after acute ischemic stroke. Lancet. 1998;352(9136):1245–51. 10.1016/S0140-6736(98)08038-9 . Pfaff J, Herweh C, Schieber S, Schönenberger S, Bösel J, Ringleb PA, Möhlenbruch M, Bendszus M, Nagel S. e-ASPECTS correlates with and is predictive of outcome after mechanical thrombectomy. AJNR. Am J Neuroradiol. 2017;38(8):1594–9. 10.3174/ajnr.A5236 . Brouns R, Sheorajpanday R, Wauters A, De Surgeloose D, Mariën P, De Deyn PP. Evaluation of lactate as a marker of metabolic stress and cause of secondary damage in acute ischemic stroke or TIA. Clin Chim Acta. 2008;397(1–2):27–31. 10.1016/j.cca.2008.07.016 . Matteucci M, Ferrarese S, Cantore C, Cappabianca G, Massimi G, Mantovani V, Rossi MB, Beghi C. Hyperlactatemia during cardiopulmonary bypass: risk factors and impact on surgical results with a focus on the long-term outcome. Perfusion. 2020;35(8):756–62. 10.1177/0267659120907440 . Additional Declarations No competing interests reported. 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Yılmaz","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABE0lEQVRIie2PMUvDQBTHD4RkOch6g7Rf4YVAaiEfJqFwmQIZbyq4XAZTXAXBz3CbuDUc6vJ0TuhiETo51MkMHbxoB4ck6OZwv+Ed73E/3v8RYrH8Q4A4x7crsYgm8N2fjSvro5K/IA+AnHRz9jvlfSt1or4UMqzMGE9e92IZeNd6q2Lk6a17ea/anBGvuIj7lPkV17BGJ2TPJpO5JbsrtdOUJhjDJ9UbrE4lqySNCJIQzJZM1QunpkYBlg0pRVtJFk3R/WgTqVMwSnMYVfgDqSSEgBTAKHGnbMa2zMvdgiHGgY8074L5CnW4OQVGh26ZudzfC7H0b9BVfiuiKTye75q3QzTxilWvMgz923eLxWKx/OQT/GBp+pYBgVEAAAAASUVORK5CYII=","orcid":"","institution":"Gaziantep City Hospital","correspondingAuthor":true,"prefix":"","firstName":"Buket","middleName":"Özkara","lastName":"Yılmaz","suffix":""},{"id":545783743,"identity":"bf4a7637-645d-490c-8e69-9f238a6b246f","order_by":1,"name":"Ramazan Şencan","email":"","orcid":"","institution":"Gaziantep City Hospital","correspondingAuthor":false,"prefix":"","firstName":"Ramazan","middleName":"","lastName":"Şencan","suffix":""},{"id":545783744,"identity":"2b12928b-6625-412c-933a-d70b0d211316","order_by":2,"name":"Burak Akpek","email":"","orcid":"","institution":"Gaziantep City Hospital","correspondingAuthor":false,"prefix":"","firstName":"Burak","middleName":"","lastName":"Akpek","suffix":""},{"id":545783745,"identity":"eec4764b-53bb-4791-a4b8-1192b06d86cc","order_by":3,"name":"Erman Altunışık","email":"","orcid":"","institution":"Gaziantep City Hospital","correspondingAuthor":false,"prefix":"","firstName":"Erman","middleName":"","lastName":"Altunışık","suffix":""}],"badges":[],"createdAt":"2025-10-29 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10:02:21","extension":"html","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":116885,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7978508/v1/a6aa21898958dbde339e7fc8.html"},{"id":101151782,"identity":"9dad736d-ddd6-481c-9511-078e8ee2e9b6","added_by":"auto","created_at":"2026-01-26 16:05:21","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1479539,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7978508/v1/027a7cfe-47bb-45c4-84be-49cd266287a6.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Arterial Blood Gas Dynamics and Clinical Outcomes After Mechanical Thrombectomy in Acute Ischemic Stroke","fulltext":[{"header":"İNTRODUCTİON","content":"\u003cp\u003eAcute ischemic stroke (AIS) accounts for approximately 85% of all stroke cases and is characterized by the sudden onset of neurological deficits, requiring urgent intervention [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. One of the most common underlying mechanisms in these patients is large vessel occlusion in the anterior circulation. In such cases, intravenous thrombolysis often proves insufficient, making mechanical thrombectomy (MT) the preferred treatment modality [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Successful early recanalization through MT can significantly improve functional outcomes by limiting the expansion of the infarct core [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]. However, despite achieving vascular reperfusion, not all patients experience clinical improvement. This phenomenon, referred to as \"futile recanalization,\" may manifest as neurological deterioration, hemorrhagic transformation, or persistent functional dependency [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. Therefore, identifying early prognostic biomarkers has gained increasing importance.\u003c/p\u003e\u003cp\u003eArterial blood gas (ABG) analysis is an invasive yet easily applicable tool that reflects the patient\u0026rsquo;s metabolic and respiratory status. Key ABG parameters including pH, oxygen saturation (SaO₂), partial pressures of oxygen (PaO₂) and carbon dioxide (PaCO₂), lactate, and bicarbonate (HCO₃) provide rapid information about tissue perfusion, hypoxia, acidosis, and metabolic dysfunction [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. In critically ill patients, disturbances in these parameters have been linked to increased morbidity and mortality [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eHowever, data on the prognostic significance of ABG alterations in stroke patients remain limited. In particular, the association between ABG values\u0026mdash;measured before and after thrombectomy\u0026mdash;and clinical scoring systems such as NIHSS, mRS, and ASPECT, or hemorrhagic complications, has yet to be clearly elucidated. Preliminary findings suggest that elevated lactate may be associated with poor clinical outcomes [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e], while fluctuations in pH may reflect reperfusion injury and cerebral edema [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eIn this study, we aimed to investigate the temporal changes in arterial blood gas parameters at multiple time points before and after mechanical thrombectomy in patients with acute ischemic stroke, and to assess the relationship of these changes with clinical outcomes including early and late neurological recovery and intracranial hemorrhage.\u003c/p\u003e"},{"header":"MATERİALS AND METHODS","content":"\u003cp\u003eThis study included 65 patients diagnosed with acute ischemic stroke due to anterior circulation large vessel occlusion who underwent mechanical thrombectomy and were followed in the Neurology Intensive Care Unit of Gaziantep City Hospital.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInclusion criteria:\u003c/strong\u003e\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eAge \u0026ge;18 years\u003c/li\u003e\n \u003cli\u003eDiagnosis of acute ischemic stroke due to internal carotid artery (ICA) occlusion, middle cerebral artery (MCA) M1 occlusion, or tandem occlusion\u003c/li\u003e\n \u003cli\u003eBaseline Alberta Stroke Program Early CT Score (ASPECTS) \u0026gt;6\u003c/li\u003e\n \u003cli\u003eSuccessful reperfusion after mechanical thrombectomy with a Thrombolysis in Cerebral Infarction (TICI) score of 2b or 3\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eExclusion criteria:\u003c/strong\u003e\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003ePresence of intracranial hemorrhage prior to thrombectomy\u003c/li\u003e\n \u003cli\u003eMissing arterial blood gas data\u003c/li\u003e\n \u003cli\u003eChronic obstructive pulmonary disease (COPD), obstructive sleep apnea, or other active/chronic obstructive pulmonary conditions\u003c/li\u003e\n \u003cli\u003eAcute respiratory distress syndrome (ARDS)\u003c/li\u003e\n \u003cli\u003eDecompensated congestive heart failure\u003c/li\u003e\n \u003cli\u003eSevere hepatic or renal dysfunction\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eDemographic data (age, sex) and comorbidities were retrieved from patient medical records.\u003cbr\u003e\u0026nbsp;Clinical assessments included pre- and 24-hour post-thrombectomy NIH Stroke Scale (NIHSS) scores, modified Rankin Scale (mRS) scores at baseline, 1 week post-procedure, and at 3-month follow-up, as well as ASPECT scores before and after thrombectomy. ASPECT score was evaluated by 2 different neurologists and there was agreement between the evaluators. Reperfusion success was evaluated using the TICI score.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eArterial blood gas (ABG) parameters including pH, oxygen saturation (SaO₂), partial pressure of carbon dioxide (PaCO₂), partial pressure of oxygen (PaO₂), lactate, and bicarbonate (HCO₃) were measured at four time points:\u003c/p\u003e\n\u003col start=\"1\" type=\"1\"\u003e\n \u003cli\u003eBefore mechanical thrombectomy\u003c/li\u003e\n \u003cli\u003e1 hour after recanalization\u003c/li\u003e\n \u003cli\u003e3 hours after thrombectomy\u003c/li\u003e\n \u003cli\u003e5 hours after thrombectomy\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003ePost-thrombectomy hemorrhagic transformation was evaluated using the European Cooperative Acute Stroke Study II (ECASS-II) classification\u0026nbsp;[11], and categorized into the following subtypes:\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003e\u003cstrong\u003eHemorrhagic infarction (HI):\u003c/strong\u003e\n \u003cul type=\"circle\"\u003e\n \u003cli\u003eHI-1: Small petechiae along the margins of the infarct\u003c/li\u003e\n \u003cli\u003eHI-2: More confluent petechiae within the infarcted area without mass effect\u003c/li\u003e\n \u003c/ul\u003e\n \u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eParenchymal hematoma (PH):\u003c/strong\u003e\n \u003cul type=\"circle\"\u003e\n \u003cli\u003ePH-1: Hemorrhage involving \u0026lt;30% of the infarcted area with mild mass effect\u003c/li\u003e\n \u003cli\u003ePH-2: Dense hemorrhage involving \u0026gt;30% of the infarcted area with significant mass effect\u003c/li\u003e\n \u003c/ul\u003e\n \u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u003cstrong\u003eStatistical Analysis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll statistical analyses were performed using IBM SPSS Statistics version 23 and the MASS package in R software. The normality of data distribution was assessed using the Shapiro\u0026ndash;Wilk and Kolmogorov\u0026ndash;Smirnov tests. Fisher\u0026rsquo;s Exact Test was used to evaluate associations between categorical variables. For comparison of two independent groups, the Independent Samples t-test was used for normally distributed variables, while the Mann\u0026ndash;Whitney U test was applied for non-normally distributed variables.Pearson\u0026rsquo;s correlation coefficient was employed to assess relationships between normally distributed continuous variables, while Spearman\u0026rsquo;s rho was used for non-normally distributed variables. Robust regression analysis was applied to evaluate the effect of independent variables on non-normally distributed dependent variables. Binary logistic regression analysis was used to identify risk factors associated with poor clinical outcome and the presence of hemorrhage. Results were presented as frequency (percentage) for categorical variables and as mean \u0026plusmn; standard deviation or median (minimum\u0026ndash;maximum) for continuous variables. A p-value of \u0026lt;0.050 was considered statistically significant.\u003c/p\u003e"},{"header":"RESULTS","content":"\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eAnalysis of independent variables affecting ASPECT (post-thrombectomy) score using Robust Regression Analysis\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"7\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eβ1 (%95 CI)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eSE\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eβ2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003et\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003ep\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eVIF\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eConstant\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-17,84 (-142,634\u0026thinsp;\u0026minus;\u0026thinsp;106,954)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e62,131\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0,287\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,775\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSex (male)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003efemale\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,004 (-0,043\u0026thinsp;\u0026minus;\u0026thinsp;0,036)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,020\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,021\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0,185\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,854\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1,285\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eTICI (recanalization )(2c)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003e3\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,07 (-0,233\u0026ndash;0,093)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,081\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,159\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0,858\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,395\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3,384\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ehemorrhagic transformation\u003c/b\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003e(No)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eYes\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,217 (-1,451\u0026ndash;1,016)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,614\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,066\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0,354\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,725\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3,424\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eChronic disease (No)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eYes\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e3,244 (-13,683\u0026thinsp;\u0026minus;\u0026thinsp;20,171)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e8,427\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,067\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,385\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,702\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e2,990\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAge\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,032 (-0,082\u0026thinsp;\u0026minus;\u0026thinsp;0,018)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,025\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,158\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-1,273\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,209\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1,510\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eNIHSS (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0 (-0,149\u0026ndash;0,149)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,074\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,001\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0,005\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,996\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3,387\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003emRS (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,01 (-0,046\u0026thinsp;\u0026minus;\u0026thinsp;0,026)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,018\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,069\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0,569\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,572\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1,430\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003epH (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0,737 (0,138\u0026ndash;1,336)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,298\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,277\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e2,470\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e0,017\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1,237\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSa02 (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0,24 (-0,108\u0026ndash;0,588)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,173\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,255\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1,384\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,172\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e3,348\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaC02 (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,521 (-1,648\u0026ndash;0,606)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,561\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,105\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0,929\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,357\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1,264\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePa02 (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,011 (-1,231\u0026ndash;1,209)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,607\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,002\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-0,018\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,986\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1,409\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLactate (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-2,326 (-3,568 - -1,083)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,619\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,437\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e-3,758\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0,001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1,330\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHC03 (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0,337 (-0,999\u0026ndash;1,673)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e0,665\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,060\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,507\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,614\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1,367\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eF\u0026thinsp;=\u0026thinsp;3,722, p\u0026thinsp;\u0026lt;\u0026thinsp;0,001, R\u003c/b\u003e\u003csup\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sup\u003e\u003cb\u003e=%49,18, β\u003c/b\u003e\u003csup\u003e\u003cb\u003e1\u003c/b\u003e\u003c/sup\u003e: \u003cb\u003eUnstandardized beta coefficient, β\u003c/b\u003e\u003csup\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sup\u003e: \u003cb\u003eStandardized beta coefficient, BT: Before thrombectomy, SE: Standard error.\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThe variables affecting the ASPECT (post-procedure) score were evaluated with robust regression analysis and the model was found to be significant (F\u0026thinsp;=\u0026thinsp;3.722; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). The variables explained 49.18% of the variance of the score. The increase in the pH value before thrombectomy significantly increased the ASPECT score (β\u0026thinsp;=\u0026thinsp;0.737; p\u0026thinsp;=\u0026thinsp;0.017), while the increase in the lactate level decreased the score (β=\u0026ndash;2.326; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). No significant relationship was found between the other variables and the score (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05). (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e)\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eComparison of blood gas, radiological and clinical parameters according to chronic period mRS score outcome after mechanical thrombectomy (MT)\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"5\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003e3rd month mRS after MT\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eTest statistic\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003ep\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0\u0026ndash;2\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3\u0026ndash;6\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAge\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e62,82\u0026thinsp;\u0026plusmn;\u0026thinsp;15,54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e70,21\u0026thinsp;\u0026plusmn;\u0026thinsp;13,25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-2,006\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e0,049\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eNIHSS BT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e12,86\u0026thinsp;\u0026plusmn;\u0026thinsp;4,69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e17,47\u0026thinsp;\u0026plusmn;\u0026thinsp;5,23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-3,467\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e0,01\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eNIHSS AT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e8,18\u0026thinsp;\u0026plusmn;\u0026thinsp;4,88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e19,65\u0026thinsp;\u0026plusmn;\u0026thinsp;10,01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-6,203\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0,01\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eASPECT BT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e10(8,75\u0026thinsp;\u0026minus;\u0026thinsp;10)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e10(9\u0026ndash;10)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-1,173(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,241\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eASPECT AT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7,23\u0026thinsp;\u0026plusmn;\u0026thinsp;2,26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e4,95\u0026thinsp;\u0026plusmn;\u0026thinsp;2,29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3,791\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0,01\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003epH BT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7,40\u0026thinsp;\u0026plusmn;\u0026thinsp;0,44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e7,39\u0026thinsp;\u0026plusmn;\u0026thinsp;0,54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,832\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,408\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSaO2 BT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e84,45(77,55\u0026ndash;92,97)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e88,40(77,80\u0026ndash;94,60)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,853(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,394\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaCO2 BT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e39,90\u0026thinsp;\u0026plusmn;\u0026thinsp;6,83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e38,30\u0026thinsp;\u0026plusmn;\u0026thinsp;6,08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,962\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,340\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaO2 BT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e33,05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e32,98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,989\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLactate BT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,89\u0026thinsp;\u0026plusmn;\u0026thinsp;0,70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2,01\u0026thinsp;\u0026plusmn;\u0026thinsp;1,00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,482\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,631\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHCO3 BT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e23,70(22,77\u0026thinsp;\u0026minus;\u0026thinsp;25,60)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e24,10(22,50\u0026thinsp;\u0026minus;\u0026thinsp;25,00)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,139(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,890\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003epH 1 hour AT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7,41\u0026thinsp;\u0026plusmn;\u0026thinsp;0,29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e7,40\u0026thinsp;\u0026plusmn;\u0026thinsp;0,83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,299\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,766\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSaO2 1 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e93,15(91,92\u0026ndash;96,55)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e95,80(89,40\u0026ndash;98,10)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-1,109(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,267\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaCO2 1 hour AT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e37,43\u0026thinsp;\u0026plusmn;\u0026thinsp;6,73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e36,10\u0026thinsp;\u0026plusmn;\u0026thinsp;6,63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,756\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,452\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaO2 1 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e76,55(70,47\u0026ndash;82,82)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e79,50(71,90\u0026ndash;113,00)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-1,747(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,081\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLactate 1 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,25(0,97\u0026thinsp;\u0026minus;\u0026thinsp;2,10)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,50(0,90\u0026thinsp;\u0026minus;\u0026thinsp;2,00)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,854(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,393\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHCO3 1 hour AT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e23,79\u0026thinsp;\u0026plusmn;\u0026thinsp;2,25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e22,99\u0026thinsp;\u0026plusmn;\u0026thinsp;3,30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,013\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,315\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003epH 3 hour AT Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7,42(7,41\u0026thinsp;\u0026minus;\u0026thinsp;7,44)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e7,43(7,38\u0026thinsp;\u0026minus;\u0026thinsp;7,46)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,652(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,515\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSaO2 3 hour AT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e92,41\u0026thinsp;\u0026plusmn;\u0026thinsp;5,91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e89,40\u0026thinsp;\u0026plusmn;\u0026thinsp;11,09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,427\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,159\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaCO2 3 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e34,35(31,02\u0026ndash;37,87)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e34,70(32,60\u0026thinsp;\u0026minus;\u0026thinsp;38,60)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,638(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,524\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaO2 3 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e80,80(73,82\u0026ndash;93,10)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e80,40(71,30\u0026ndash;98,00)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,021(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,983\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLactate 3 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,05(0,77\u0026thinsp;\u0026minus;\u0026thinsp;1,65)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,20(0,90\u0026thinsp;\u0026minus;\u0026thinsp;1,70)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,681(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,496\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHCO3 3 hour AT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e24,10\u0026thinsp;\u0026plusmn;\u0026thinsp;3,71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e23,68\u0026thinsp;\u0026plusmn;\u0026thinsp;3,45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,456\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,650\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003epH 5 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7,43(7,41\u0026thinsp;\u0026minus;\u0026thinsp;7,45)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e7,44(7,40\u0026thinsp;\u0026minus;\u0026thinsp;7,46)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,014(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,989\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSaO2 5 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e93,50(90,45\u0026ndash;98,60)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e94,20(80,90\u0026ndash;98,20)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0777(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,437\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaCO2 5 hour AT\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e35,98\u0026thinsp;\u0026plusmn;\u0026thinsp;7,06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e36,09\u0026thinsp;\u0026plusmn;\u0026thinsp;5,91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,069\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,946\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaO2 3 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e89,25(80,75\u0026ndash;98,77)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e86,10(75,10\u0026ndash;100)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,111(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,912\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLactate 5 hour AT (Quartile)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0,95(0,67\u0026thinsp;\u0026minus;\u0026thinsp;1,52)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,00(0,80\u0026thinsp;\u0026minus;\u0026thinsp;1,50)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-1,086(z)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,278\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHCO3 5 hour AT T\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e25,80\u0026thinsp;\u0026plusmn;\u0026thinsp;4,17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e24,20\u0026thinsp;\u0026plusmn;\u0026thinsp;3,44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,647\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,105\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eBT: Before thrombectomy, AT: After thrombectomy.\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eIn the analyses performed to evaluate chronic period clinical outcome with independent samples t test and Mann Whitney U test, it was found that advanced age, high NIHSS before and after the procedure and low ASPECT score after the procedure were significantly associated with poor clinical outcome, while blood gas parameters were not significantly associated with good or poor clinical outcome in the chronic period (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eRegression analysis results of blood gas and other factors that may affect chronic period mRS.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"6\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eB\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eS.E.\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eWald\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eSig.\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eExp(B)(95% CI)\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAge\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e,026\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,027\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e,953\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,329\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1,026 (,974-1,082)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSex\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-,191\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,771\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e,061\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,804\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e,826(,182-3,745)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eChronic disease\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,268\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,086\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,362\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,243\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e3,552(,423\u0026thinsp;\u0026minus;\u0026thinsp;29,862)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHemorrhagic transformation\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e2,635\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,953\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e7,652\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,\u003cb\u003e006\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e13,941(2,155\u0026thinsp;\u0026minus;\u0026thinsp;90,175)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eNIHSS (BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e,187\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,089\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e4,436\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,\u003cb\u003e035\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e\u003cb\u003e1,206(1,013\u0026thinsp;\u0026minus;\u0026thinsp;1,436)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eASPECT (AT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-,251\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,196\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,648\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,199\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,778(,530-1,142)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePh(BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-,247\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,212\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,350\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,245\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e,781(,516-1,184)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaC02(BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-,192\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,170\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,286\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,257\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e,825(,591-1,151)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eP02(BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-,002\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,024\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e,009\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,925\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,998(,952-1,045)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSa02(BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-,040\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,045\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e,761\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,383\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e,961(,879-1,051)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLactate(BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e,017\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,496\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e,001\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,973\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1,017(,384-2,690)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHC03(BT)\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e,446\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e,427\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,089\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e,297\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1,562(,676-3,611)\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eModel chi-square: 33,835 and p:0,01 Nagelkerke R\u003c/b\u003e\u003csup\u003e\u003cb\u003e2\u003c/b\u003e\u003c/sup\u003e :\u003cb\u003e0,562 Hosmer and Lemeshow chi-square: 8,920 and p:0,258 BT: Before thrombectomy and AT: After thrombectomy.\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eMultivariate modeling to determine the factors affecting mRS in the chronic period was significant, and high pre-procedure NIHSS and post-procedure hemorrhagic transformation were found to be associated with poor prognosis. However, blood gas parameters did not show a significant effect in this model. Again, in the same modeling, having a chronic disease was found to be 3.55 times more associated with poor prognosis. (Table \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eCorrelation tests between blood gas parameters measured before and after mechanical thrombectomy and 3rd month mRS value\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"9\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e3rd month mRS\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e\u003cp\u003eBT\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c5\" namest=\"c4\"\u003e\u003cp\u003e1 hour AT\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c7\" namest=\"c6\"\u003e\u003cp\u003e3 hours AT\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"2\" nameend=\"c9\" namest=\"c8\"\u003e\u003cp\u003e5 hours AT\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003er\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003ep\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003er\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003ep\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003er\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003ep\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003er\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003ep\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003epH\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,023\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0,856\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,123\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,330\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,016\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,899\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-0,040\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e0,751\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eSaO2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0,072\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0,568\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,078\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,535\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-0,065\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,607\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-0,165\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e0,189\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePaCO2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e-0,241\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e\u003cb\u003e0,053\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,076\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,547\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,072\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,571\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e0,135\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e0,282\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003ePaO2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0,004\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0,976\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,154\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,220\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-0,060\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,635\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-0,120\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e0,341\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eLaktat\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e0,035\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0,783\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,168\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,181\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,133\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,292\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e\u003cb\u003e0,238\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e\u003cb\u003e0,056\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003eHCO3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e-0,104\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0,411\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e-0,211\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,092\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e-0,116\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,357\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e-0,208\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e0,097\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"9\" nameend=\"c9\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eBT: Before thrombectomy, AT: After thrombectomy\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eIn the spearman\u0026rsquo;s correlation analysis of repeated measurements of blood gas parameters with chronic period mRS, no significant correlation was found, even though close to significance (p\u0026thinsp;\u0026gt;\u0026thinsp;0.05)), with PaC02 before thrombectomy (r: -0.241 and p: 0.053) and with lactate at the 5th hour after the procedure (r: 0.238 and p: 0.056). (Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eEvaluation of chronic period mRS with repeated measures tests and descriptive statistics of blood gas parameters\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"12\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003eTime\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"6\" nameend=\"c12\" namest=\"c7\"\u003e\u003cp\u003eTime and three months mRS\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colspan=\"5\" nameend=\"c5\" namest=\"c1\"\u003e\u003cp\u003emean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003ep\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colspan=\"4\" nameend=\"c11\" namest=\"c8\"\u003e\u003cp\u003emean\u0026thinsp;\u0026plusmn;\u0026thinsp;SD\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u003cp\u003ep\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1.M\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e2.M\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3.M\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4.M\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003emRS\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003e1.M\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003e2.M\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003e3.M\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u003cp\u003e4.M\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u0026nbsp;\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003epH\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7,39\u0026thinsp;\u0026plusmn;\u0026thinsp;0,51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e7,40\u0026thinsp;\u0026plusmn;\u0026thinsp;0,69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e7,42\u0026thinsp;\u0026plusmn;\u0026thinsp;0,59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7,42\u0026thinsp;\u0026plusmn;\u0026thinsp;0,59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e\u003cb\u003e0,001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0\u0026ndash;2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e7,40\u0026thinsp;\u0026plusmn;\u0026thinsp;0,44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e7,41\u0026thinsp;\u0026plusmn;\u0026thinsp;0,29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e7,42\u0026thinsp;\u0026plusmn;\u0026thinsp;0,29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e7,43\u0026thinsp;\u0026plusmn;\u0026thinsp;0,40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e0,929\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eQuartıle\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e7,39(7,36\u0026thinsp;\u0026minus;\u0026thinsp;7,43)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e7,40(7,37\u0026thinsp;\u0026minus;\u0026thinsp;7,45)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e7,42(7,39\u0026thinsp;\u0026minus;\u0026thinsp;7,46)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7,43(7,40\u0026thinsp;\u0026minus;\u0026thinsp;7,46)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e3\u0026ndash;6\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e7,39\u0026thinsp;\u0026plusmn;\u0026thinsp;0,54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e7,40\u0026thinsp;\u0026plusmn;\u0026thinsp;0,83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e7,42\u0026thinsp;\u0026plusmn;\u0026thinsp;0,70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e7,42\u0026thinsp;\u0026plusmn;\u0026thinsp;0,66\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePaC02\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e38,85\u0026thinsp;\u0026plusmn;\u0026thinsp;6,33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e36,55\u0026thinsp;\u0026plusmn;\u0026thinsp;6,65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e35,86\u0026thinsp;\u0026plusmn;\u0026thinsp;8,16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e36,05\u0026thinsp;\u0026plusmn;\u0026thinsp;6,26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e\u003cb\u003e0,003\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0\u0026ndash;2\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e39,90\u0026thinsp;\u0026plusmn;\u0026thinsp;6,83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e37,43\u0026thinsp;\u0026plusmn;\u0026thinsp;6,73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e35,32\u0026thinsp;\u0026plusmn;\u0026thinsp;7,77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e35,98\u0026thinsp;\u0026plusmn;\u0026thinsp;7,06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e0,562\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eQuartıle\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e37,80(35,40\u0026ndash;44,60)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e36,10(31,20\u0026ndash;39,45)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e34,60(32,05\u0026ndash;38,55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e35,10(32,25\u0026ndash;40,05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e3\u0026ndash;6\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e38,30\u0026thinsp;\u0026plusmn;\u0026thinsp;6,08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e36,10\u0026thinsp;\u0026plusmn;\u0026thinsp;6,63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e36,14\u0026thinsp;\u0026plusmn;\u0026thinsp;8,43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e36,09\u0026thinsp;\u0026plusmn;\u0026thinsp;5,91\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003ePa02\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e76,57\u0026thinsp;\u0026plusmn;\u0026thinsp;16,28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e87,49\u0026thinsp;\u0026plusmn;\u0026thinsp;27,72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e85,61\u0026thinsp;\u0026plusmn;\u0026thinsp;26,48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e90,50\u0026thinsp;\u0026plusmn;\u0026thinsp;20,04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0,001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0\u0026ndash;2\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e75,65\u0026thinsp;\u0026plusmn;\u0026thinsp;13,82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e76,07\u0026thinsp;\u0026plusmn;\u0026thinsp;13,68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e82,31\u0026thinsp;\u0026plusmn;\u0026thinsp;11,92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e88,34\u0026thinsp;\u0026plusmn;\u0026thinsp;10,47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e0,119\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eQuartıle\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e75,20(68,55\u0026ndash;86,00)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e78,80(71,70\u0026ndash;94,35)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e80,40(72,15\u0026ndash;96,65)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e87,60(75,50\u0026ndash;99,35)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e3\u0026ndash;6\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e77,04\u0026thinsp;\u0026plusmn;\u0026thinsp;17,55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e93,34\u0026thinsp;\u0026plusmn;\u0026thinsp;31,20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e87,30\u0026thinsp;\u0026plusmn;\u0026thinsp;31,45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e91,60\u0026thinsp;\u0026plusmn;\u0026thinsp;23,52\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eS02\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e84,77\u0026thinsp;\u0026plusmn;\u0026thinsp;12,17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e90,66\u0026thinsp;\u0026plusmn;\u0026thinsp;11,52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e90,42\u0026thinsp;\u0026plusmn;\u0026thinsp;9,70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e91,02\u0026thinsp;\u0026plusmn;\u0026thinsp;9,36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e\u003cb\u003e0,002\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0\u0026ndash;2\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e84,10\u0026thinsp;\u0026plusmn;\u0026thinsp;10,44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e91,60\u0026thinsp;\u0026plusmn;\u0026thinsp;7,42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e92,41\u0026thinsp;\u0026plusmn;\u0026thinsp;5,91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e92,73\u0026thinsp;\u0026plusmn;\u0026thinsp;6,92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e0,634\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eQuartıle\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e88,00(77,80\u0026ndash;93,90)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e94,30(91,85\u0026ndash;97,80)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e94,60(83,40\u0026ndash;97,50)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e93,80(86,70\u0026ndash;98,30)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e3\u0026ndash;6\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e85,11\u0026thinsp;\u0026plusmn;\u0026thinsp;13,07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e90,18\u0026thinsp;\u0026plusmn;\u0026thinsp;13,18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e89,40\u0026thinsp;\u0026plusmn;\u0026thinsp;11,09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e90,15\u0026thinsp;\u0026plusmn;\u0026thinsp;10,36\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHC03\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e23,59\u0026thinsp;\u0026plusmn;\u0026thinsp;2,55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e23,26\u0026thinsp;\u0026plusmn;\u0026thinsp;2,99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e23,82\u0026thinsp;\u0026plusmn;\u0026thinsp;3,51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e24,74\u0026thinsp;\u0026plusmn;\u0026thinsp;3,75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e\u003cb\u003e0,010\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0\u0026ndash;2\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e24,14\u0026thinsp;\u0026plusmn;\u0026thinsp;1,89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e23,79\u0026thinsp;\u0026plusmn;\u0026thinsp;2,25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e24,10\u0026thinsp;\u0026plusmn;\u0026thinsp;3,71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e25,80\u0026thinsp;\u0026plusmn;\u0026thinsp;4,17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e0,401\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eQuartıle\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e24,00(22,60\u0026thinsp;\u0026minus;\u0026thinsp;25,30)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e23,30(21,45\u0026thinsp;\u0026minus;\u0026thinsp;25,60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e24,20(22,25\u0026ndash;25,90)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e24,60(22,80\u0026thinsp;\u0026minus;\u0026thinsp;26,50)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e3\u0026ndash;6\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e23,31\u0026thinsp;\u0026plusmn;\u0026thinsp;2,81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e22,99\u0026thinsp;\u0026plusmn;\u0026thinsp;3,30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e23,68\u0026thinsp;\u0026plusmn;\u0026thinsp;3,45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e24,20\u0026thinsp;\u0026plusmn;\u0026thinsp;3,44\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eLactate\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,97\u0026thinsp;\u0026plusmn;\u0026thinsp;0,90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,66\u0026thinsp;\u0026plusmn;\u0026thinsp;0,95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,38\u0026thinsp;\u0026plusmn;\u0026thinsp;0,78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1,26\u0026thinsp;\u0026plusmn;\u0026thinsp;0,77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0,001\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e0\u0026ndash;2\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e1,89\u0026thinsp;\u0026plusmn;\u0026thinsp;0,70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e1,45\u0026thinsp;\u0026plusmn;\u0026thinsp;0,59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e1,30\u0026thinsp;\u0026plusmn;\u0026thinsp;0,74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e1,12\u0026thinsp;\u0026plusmn;\u0026thinsp;0,55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003e0,671\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eQuartıle\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,80(1,20\u0026thinsp;\u0026minus;\u0026thinsp;2,40)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,50(0,95\u0026thinsp;\u0026minus;\u0026thinsp;2,05)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1,10(0,85\u0026thinsp;\u0026minus;\u0026thinsp;1,70)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1,00(0,80\u0026thinsp;\u0026minus;\u0026thinsp;1,50)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u003cb\u003e3\u0026ndash;6\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c8\"\u003e\u003cp\u003e2,01\u0026thinsp;\u0026plusmn;\u0026thinsp;1,00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e1,78\u0026thinsp;\u0026plusmn;\u0026thinsp;1,08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e1,42\u0026thinsp;\u0026plusmn;\u0026thinsp;0,81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e1,33\u0026thinsp;\u0026plusmn;\u0026thinsp;0,85\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"12\" nameend=\"c12\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eM: measure\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003cp\u003eIn the evaluation of blood gas parameters with good or poor clinical outcome obtained with Friedman and two-way anova in repeated measurements, significant changes were obtained at various times before and after the procedure, but this significance was not clinically significant when the chronic period good or poor clinical outcome was included (p\u0026thinsp;\u0026gt;\u0026thinsp;0,05)(Table\u0026nbsp;\u003cspan refid=\"Tab5\" class=\"InternalRef\"\u003e5\u003c/span\u003e).\u003c/p\u003e"},{"header":"DİSCUSSİON","content":"\u003cp\u003eİn this study, we evaluated the impact of arterial blood gas (ABG) parameters on clinical outcomes in patients who underwent mechanical thrombectomy (MT) due to anterior circulation large vessel occlusion. Notably, pre-procedural pH and lactate levels were found to be associated with the post-intervention ASPECT score, which reflects brain tissue reperfusion. An increase in pre-MT pH was significantly associated with a higher ASPECT score (β\u0026thinsp;=\u0026thinsp;0.737; p\u0026thinsp;=\u0026thinsp;0.017), while elevated lactate levels were associated with a decrease in ASPECT score (β = \u0026minus;\u0026thinsp;2.326; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). These findings support previous reports highlighting the influence of systemic metabolic balance and tissue perfusion on ischemic brain tissue [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eThe post-intervention ASPECT score emerged as a strong predictor of functional outcome; a lower ASPECT score was associated with a 2.65-fold increased risk of poor outcome on the modified Rankin Scale (mRS) at 3 months (OR\u0026thinsp;=\u0026thinsp;0.377; p\u0026thinsp;=\u0026thinsp;0.019). This aligns with earlier studies suggesting that brain tissue integrity and successful reperfusion during the acute phase are crucial for long-term functional recovery [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eOther independent predictors of poor outcome included a higher baseline NIHSS score (OR\u0026thinsp;=\u0026thinsp;1.32; p\u0026thinsp;=\u0026thinsp;0.019) and a lower post-MT ASPECT score. These findings are consistent with prior multicenter trials emphasizing the prognostic significance of initial stroke severity and infarct volume [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eSeveral studies have proposed that increasing oxygenation before recanalization may help protect the ischemic penumbra, reduce blood\u0026ndash;brain barrier damage, and limit infarct volume [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Conversely, hyperoxia during the post-recanalization period has been associated with increased oxidative stress and reperfusion injury [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. While previous observational studies have linked elevated lactate levels or decreased pH to unfavorable outcomes in stroke [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], prospective studies evaluating serial ABG monitoring in patients undergoing MT remain limited. The association of these physiological changes with clinical scores (NIHSS, mRS, ASPECT) or complications (e.g., symptomatic intracranial hemorrhage) has yet to be clearly established.\u003c/p\u003e\u003cp\u003eIn our study, no significant correlation was found between ABG parameters measured at 1, 3, and 5 hours after MT and the 3-month mRS scores. This suggests that functional outcomes may depend not only on metabolic fluctuations but also on ischemic territory dynamics, collateral circulation, and reperfusion quality [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. Similarly, no clinical or laboratory parameters were found to significantly predict post-MT hemorrhagic transformation.\u003c/p\u003e\u003cp\u003eIn our study, preprocedural arterial pH and lactate levels were found to be significantly associated with post-thrombectomy ASPECT scores, reflecting the extent of cerebral reperfusion. This is consistent with prior findings suggesting that metabolic derangements may influence infarct evolution and tissue viability. Brouns et al. demonstrated that elevated lactate levels in the cerebrospinal fluid were strongly associated with poor neurological outcomes and higher mortality in acute ischemic stroke, indicating a central role of metabolic stress in stroke progression [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. Similarly, Matteucci et al. reported that arterial blood gas alterations, particularly in pH and lactate, correlated with post-thrombectomy complications and functional outcomes, emphasizing the interplay between systemic metabolic status and cerebral reperfusion injury [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. These findings support the notion that metabolic markers may serve as adjunctive prognostic tools in acute stroke, beyond conventional imaging and clinical scores.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eMetabolic indicators such as pH and lactate may be important markers reflecting the success of cerebral reperfusion following mechanical thrombectomy.\u003c/p\u003e\u003cp\u003eInitial clinical presentation and imaging scores (NIHSS, ASPECT) are the strongest predictors of long-term functional outcomes.\u003c/p\u003e\u003cp\u003eShort-term arterial blood gas monitoring may indirectly support prognostic evaluation by reflecting systemic metabolic status.\u003c/p\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003eLimitations of the Study\u003c/h2\u003e\u003cp\u003eThis study has a retrospective design and is limited to data from a single center. Additionally, arterial blood gas measurements were not obtained under standardized ventilation settings, which means that variations in systemic ventilatory support and oxygen delivery protocols may have influenced the results.\u003c/p\u003e\u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics Approval:\u0026nbsp;\u003c/strong\u003eThe study was approved by the Clinical Research Ethics Committee of Gaziantep City Hospital on 18.09.2024 with decision number 51/2024\u003cstrong\u003e.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to participate:\u0026nbsp;\u003c/strong\u003eInformed consent was obtained from conscious patients and relatives of unconscious patients.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest:\u0026nbsp;\u003c/strong\u003eThe authors declare no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding:\u0026nbsp;\u003c/strong\u003eNo financial support was received for this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eWritten consent for publication:\u0026nbsp;\u003c/strong\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and material:\u0026nbsp;\u003c/strong\u003eThe datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCode availability:\u0026nbsp;\u003c/strong\u003eNot applicable\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026apos; contributions\u003cbr\u003e\u003c/strong\u003eAuthor 1: Conceptualization, Methodology, Data curation, Writing \u0026ndash; Original Draft.\u003cbr\u003e\u0026nbsp;Author 2: Formal analysis, Writing \u0026ndash; Review \u0026amp; Editing.\u003c/p\u003e\n\u003cp\u003eAuthor 3: Data curation\u003cbr\u003e\u0026nbsp;Author 4: Supervision, Validation, Critical revision.\u003cbr\u003e\u0026nbsp;All authors read and approved the final manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eFeigin VL, Norrving B, Mensah GA. Global burden of stroke. Circ Res. 2017;120(3):439\u0026ndash;48. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1161/CIRCRESAHA.116.308413\u003c/span\u003e\u003cspan address=\"10.1161/CIRCRESAHA.116.308413\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePowers WJ, Rabinstein AA, Ackerson T, et al. 2018 Guidelines for the Early Management of Patients With Acute Ischemic Stroke. Stroke. 2018;49(3):e46\u0026ndash;110. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1161/STR.0000000000000158\u003c/span\u003e\u003cspan address=\"10.1161/STR.0000000000000158\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eGoyal M, Menon BK, van Zwam WH, et al. Endovascular thrombectomy after large-vessel ischaemic stroke: a meta-analysis of individual patient data from five randomised trials. Lancet. 2016;387(10029):1723\u0026ndash;31. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/S0140-6736(16)00163-X\u003c/span\u003e\u003cspan address=\"10.1016/S0140-6736(16)00163-X\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eSaver JL, Goyal M, Bonafe A, et al. Stent-retriever thrombectomy after intravenous t-PA vs. t-PA alone in stroke. N Engl J Med. 2015;372(24):2285\u0026ndash;95. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1056/NEJMoa1415061\u003c/span\u003e\u003cspan address=\"10.1056/NEJMoa1415061\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eCampbell BCV, Majoie CBLM, Albers GW, Menon BK, Demchuk AM. Penumbral imaging and functional outcome in acute ischemic stroke: a meta-analysis of individual patient data. Lancet Neurol. 2019;18(1):46\u0026ndash;55. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/S1474-4422(18)30314-4\u003c/span\u003e\u003cspan address=\"10.1016/S1474-4422(18)30314-4\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eOnalan A, Gurkas E, Akpinar CK, Dogan H, Acar T, Acar B, Aykac O, Uysal Kocabas Z, Balgetir F, Ozdemir AO. Arterial blood gas analysis predicts futile recanalization in mechanical thrombectomy-treated acute ischemic stroke patients: a multicenter study. Eur Rev Med Pharmacol Sci. 2024;28(4):1594\u0026ndash;604. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.26355/eurrev_202402_35488\u003c/span\u003e\u003cspan address=\"10.26355/eurrev_202402_35488\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLegrand M, Dupuis C, Simon C, Gayat E, Mateo J, Payen D. Arterial pH, lactate and base excess are associated with hospital mortality in septic shock. Intensive Care Med. 2017;43(2):188\u0026ndash;95. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1007/s00134-016-4583-1\u003c/span\u003e\u003cspan address=\"10.1007/s00134-016-4583-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eLee YS, Bae HJ, Yoon BW, et al. Elevated arterial lactate level during acute ischemic stroke is associated with poor outcome. Neurology. 2020;94(15):e1531\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1212/WNL.0000000000009241\u003c/span\u003e\u003cspan address=\"10.1212/WNL.0000000000009241\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eTrompeter AJ, Roberts KJ, Soulika AM, et al. Venous blood gas as a predictor of outcome in sepsis: a systematic review. Am J Emerg Med. 2019;37(4):658\u0026ndash;63. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.ajem.2018.07.043\u003c/span\u003e\u003cspan address=\"10.1016/j.ajem.2018.07.043\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHossmann KA. Viability thresholds and the penumbra of focal ischemia. Ann Neurol. 1994;36(4):557\u0026ndash;65. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1002/ana.410360410\u003c/span\u003e\u003cspan address=\"10.1002/ana.410360410\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eHacke W, Kaste M, Fieschi C, et al. Second European\u0026ndash;Australasian Acute Stroke Study (ECASS II): A randomized controlled trial of recombinant tissue plasminogen activator (rt-PA) 6 hours after acute ischemic stroke. Lancet. 1998;352(9136):1245\u0026ndash;51. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/S0140-6736(98)08038-9\u003c/span\u003e\u003cspan address=\"10.1016/S0140-6736(98)08038-9\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003ePfaff J, Herweh C, Schieber S, Sch\u0026ouml;nenberger S, B\u0026ouml;sel J, Ringleb PA, M\u0026ouml;hlenbruch M, Bendszus M, Nagel S. \u003cem\u003ee-ASPECTS correlates with and is predictive of outcome after mechanical thrombectomy.\u003c/em\u003eAJNR. Am J Neuroradiol. 2017;38(8):1594\u0026ndash;9. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3174/ajnr.A5236\u003c/span\u003e\u003cspan address=\"10.3174/ajnr.A5236\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eBrouns R, Sheorajpanday R, Wauters A, De Surgeloose D, Mari\u0026euml;n P, De Deyn PP. Evaluation of lactate as a marker of metabolic stress and cause of secondary damage in acute ischemic stroke or TIA. Clin Chim Acta. 2008;397(1\u0026ndash;2):27\u0026ndash;31. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.cca.2008.07.016\u003c/span\u003e\u003cspan address=\"10.1016/j.cca.2008.07.016\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003cli\u003e\u003cspan\u003eMatteucci M, Ferrarese S, Cantore C, Cappabianca G, Massimi G, Mantovani V, Rossi MB, Beghi C. Hyperlactatemia during cardiopulmonary bypass: risk factors and impact on surgical results with a focus on the long-term outcome. Perfusion. 2020;35(8):756\u0026ndash;62. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1177/0267659120907440\u003c/span\u003e\u003cspan address=\"10.1177/0267659120907440\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"sn-comprehensive-clinical-medicine","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"sncm","sideBox":"Learn more about [SN Comprehensive Clinical Medicine](https://www.springer.com/journal/42399)","snPcode":"42399","submissionUrl":"https://submission.nature.com/new-submission/42399/3","title":"SN Comprehensive Clinical Medicine","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"ischemic stroke, anterior circulation, thrombectomy, arterial blood gas","lastPublishedDoi":"10.21203/rs.3.rs-7978508/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7978508/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eObjective\u003c/h2\u003e\u003cp\u003eThis study aimed to evaluate the temporal changes in arterial blood gas (ABG) parameters and their relationship with clinical outcomes in patients undergoing mechanical thrombectomy due to acute ischemic stroke.\u003c/p\u003e\u003ch2\u003eMaterials and Methods\u003c/h2\u003e\u003cp\u003eA total of 65 patients (mean age: 67.7\u0026thinsp;\u0026plusmn;\u0026thinsp;14.4) who underwent mechanical thrombectomy at Gaziantep City Hospital were included. Arterial blood gas parameters (pH, SaO₂, PaCO₂, PaO₂, lactate, HCO₃) were recorded before thrombectomy and at the 1st, 3rd, and 5th hours post-thrombectomy. Clinical outcomes were assessed using pre- and post-treatment NIHSS scores, ASPECT scores, modified Rankin Scale (mRS) scores, and the presence of hemorrhage based on ECASS-II criteria.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eNo significant correlation was found between arterial blood gas parameters and clinical outcome scores (NIHSS and 3-month mRS). However, an increase in preprocedural pH was significantly associated with higher post-procedural ASPECT scores (β\u0026thinsp;=\u0026thinsp;0.737, p\u0026thinsp;=\u0026thinsp;0.017), while elevated preprocedural lactate levels were significantly associated with lower post-ASPECT scores (β = \u0026minus;\u0026thinsp;2.326, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001). The most significant predictors of poor clinical outcome (3-month mRS\u0026thinsp;\u0026ge;\u0026thinsp;3) were higher baseline NIHSS (p\u0026thinsp;=\u0026thinsp;0.019) and lower post-ASPECT scores (p\u0026thinsp;=\u0026thinsp;0.019). Temporal changes in ABG parameters showed no significant effect on mRS scores.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eAlthough certain pre-thrombectomy ABG parameters (particularly pH and lactate) are associated with neuroimaging findings, their independent predictive value for clinical outcomes appears limited. ABG monitoring may contribute to prognostic evaluation, yet its direct impact on functional outcome (mRS) is weak.\u003c/p\u003e","manuscriptTitle":"Arterial Blood Gas Dynamics and Clinical Outcomes After Mechanical Thrombectomy in Acute Ischemic Stroke","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-11-20 18:03:25","doi":"10.21203/rs.3.rs-7978508/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-11-26T14:14:18+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-26T14:06:06+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"29582924062308293346626214961204622604","date":"2025-11-16T13:15:24+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-14T18:06:32+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"239585390465241368732121275399120381096","date":"2025-11-11T17:24:38+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-11-11T11:12:14+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-11-10T13:14:41+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-11-10T13:04:29+00:00","index":"","fulltext":""},{"type":"submitted","content":"SN Comprehensive Clinical Medicine","date":"2025-10-29T10:02:23+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"sn-comprehensive-clinical-medicine","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"sncm","sideBox":"Learn more about [SN Comprehensive Clinical Medicine](https://www.springer.com/journal/42399)","snPcode":"42399","submissionUrl":"https://submission.nature.com/new-submission/42399/3","title":"SN Comprehensive Clinical Medicine","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"de01558b-20af-4c22-a72d-8b747851e635","owner":[],"postedDate":"November 20th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2026-01-26T16:01:30+00:00","versionOfRecord":{"articleIdentity":"rs-7978508","link":"https://doi.org/10.1007/s42399-026-02255-5","journal":{"identity":"sn-comprehensive-clinical-medicine","isVorOnly":false,"title":"SN Comprehensive Clinical Medicine"},"publishedOn":"2026-01-21 15:58:20","publishedOnDateReadable":"January 21st, 2026"},"versionCreatedAt":"2025-11-20 18:03:25","video":"","vorDoi":"10.1007/s42399-026-02255-5","vorDoiUrl":"https://doi.org/10.1007/s42399-026-02255-5","workflowStages":[]},"version":"v1","identity":"rs-7978508","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7978508","identity":"rs-7978508","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}