Prevalence and Predictors of Ischemic Lesions in Spontaneous Intracerebral Hemorrhage in a Multiethnic Population: an Observational Study

Prevalence and Predictors of Ischemic Lesions in Spontaneous Intracerebral Hemorrhage in a Multiethnic Population: an Observational Study | 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 Prevalence and Predictors of Ischemic Lesions in Spontaneous Intracerebral Hemorrhage in a Multiethnic Population: an Observational Study Luiz Dalfior Junior, Eva Rocha, Maramelia Miranda, Gisele Sampaio Silva This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7624022/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Intracerebral hemorrhage (ICH), the second most prevalent stroke type has significant morbidity and mortality, and great functional dependence. Although concomitant ischemic lesions are documented, their prevalence and predictors among ethnic groups are undefined and studies focused on the Brazilian population are currently lacking. Objectives The primary objective was to assess the prevalence, predictors, and clinical outcome associations of early post-ICH (≤ 15 days) ischemic lesions on MRI. Secondary objectives evaluated their correlations with clinical/epidemiological characteristics, cerebral amyloid angiopathy (CAA), microbleeds, and SMASH-U-defined ICH etiologies. Methods This observational, cross-sectional study analyzed database, imaging, and medical records from consecutive ICH patients admitted to a tertiary hospital from 2009 to 2018. Data were analyzed using multivariable logistic regression to generate a predictive model. Results In a cohort of 89 patients (mean age 61.3 ± 16.6 years; 52.8% female), the prevalence of ischemic lesions was 27% (n = 24). The most common etiologies were hypertension (39.8%) and CAA (29.5%). Independent predictors of ischemic lesions included CAA (OR = 12.8, 95%CI 2.55–91.6, p = 0.004), admission ICH volume (OR = 0.98, 95%CI 0.95-1.0, p = 0.047), maximum SBP within 48h (OR = 1.04, 95%CI 1.01–1.07, p = 0.015), intraventricular hemorrhage (OR = 19.5, 95%CI 3.97–136, p < 0.001), and cortical superficial siderosis (CSS) (OR = 15.8, 95%CI 2.0-194, p = 0.015). Predictors of poor functional outcome were antiplatelet therapy (OR = 7.24, 95%CI 1.57–41.5, p = 0.015), admission ICH volume (OR = 1.04, 95%CI 1.02–1.07 p = 0.002), and hematoma expansion (OR = 6.06, 95%CI 1.16–37.2, p = 0.037). Ischemia did not predict functional outcome or mortality, though it was associated with longer hospital and ICU stays. The sole predictor of mortality was GCS score (OR = 0.65, 95%CI 1.1–3.03, p = 0.038). Conclusions MRI-detected ischemic lesions were frequent in ICH patients. Independent predictors included CAA, admission ICH volume, maximum SBP within 48h, intraventricular hemorrhage and CSS. No association was found between these lesions and clinical outcomes or mortality. Further research is essential to elucidate the role and pathogenesis of microvascular disease guiding therapeutic strategies. Intracerebral hemorrhage brain hemorrhage brain ischemia ischemic lesions DWI positive magnetic resonance imaging hypertension blood pressure control microbleed small vessel disease predictors poor outcome Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 INTRODUCTION Intracerebral hemorrhage (ICH) is the second most common type of stroke, with an estimated incidence of 10 to 25 cases per 100,000 individuals annually and a prevalence of 15%. ( 1 – 3 ) However, it exhibits higher morbidity and mortality, reaching 50% at 30 days and 20–30% at three months. ( 4 – 7 ) These outcomes are influenced by multiple factors, including hematoma expansion, ICH volume, patient age, Glasgow Coma Scale (GCS) score at admission, hemorrhage location, and the presence of intraventricular hemorrhage. ( 8 – 10 ) Since the early 2000s, several authors have described hyperintense lesions on magnetic resonance imaging (MRI) in the acute phase of spontaneous ICH. These lesions exhibit features suggestive of ischemia, appearing as small hyperintense foci on diffusion-weighted imaging (DWI) and as hypointense on apparent diffusion coefficient (ADC). They are observed perihematomal and remotely, including in the contralateral cerebral hemisphere to the ICH. ( 11 – 15 ) Numerous studies have investigated the prevalence and predictors of ischemic lesions on MRI to establish causal relationships and their impact on ICH prognosis; however, with conflicting results. To date, no study has examined these outcomes in a multiethnic population. We therefore investigated the prevalence of acute-phase MRI ischemic lesions (within 30 days of ICH), as well as their predictive factors and associated clinical outcomes in this population. MATERIALS AND METHODS We conducted a cross-sectional study with data obtained from consecutive adult patients diagnosed with ICH admitted to a private tertiary Brazilian hospital between January 2009 and December 2018. Exclusion criteria were: secondary ICH due to cerebral venous thrombosis, hemorrhagic transformation of ischemic stroke, patients younger than 18 years old, pregnant women, patients who did not undergo to MRI and patients with MRI artifacts that impede the evaluation of ischemic lesions. We collected demographic data, baseline characteristics, comorbidities, laboratory results, imaging findings, and discharge outcomes. Medication use potentially associated with ICH, including anticoagulants and antiplatelet agents, was recorded. Two senior vascular neurologists (MM, ER), blinded to clinical data, independently reviewed imaging studies to assess: (1) the presence of ischemic lesions on MRI, (2) the presence of microbleeds, (3) microbleed count, (4) the presence of superficial cortical siderosis, and (5) Fazekas score. Inter-rater agreement was evaluated using Cohen's kappa coefficient. All neuroimaging studies were evaluated according to the Boston 2.0 criteria to assess the presence of cerebral amyloid angiopathy. In addition, the underlying cause of intracerebral hemorrhage was classified using the SMASH-U system, which categorizes ICH etiology into six groups: Structural vascular lesions, Medication-related, Amyloid angiopathy, Systemic/other disease, Hypertension, and Undetermined. Statistical Analysis Normally distributed variables were expressed as mean and standard deviation (SD), and non-normal variables as median and interquartile range (IQR). Parametric comparisons used Student's t-test (paired/unpaired when indicated), while non-parametric tests employed Mann-Whitney U (unpaired) or Wilcoxon signed-rank (paired) tests. Categorical variables were reported as absolute values and proportions, analyzed using Chi-Square or Fisher's exact tests as appropriate. The strength of association was quantified via Odds Ratios (OR) and their 95% confidence intervals (CI), calculated using Cochran-Mantel-Haenszel tests and multivariate logistic regression. A directed acyclic graph was constructed to identify confounders like age and gender (DAG; Fig. 2 ), which were controlled using multivariate logistic regression with backward selection. Univariate analyses were initially performed, with variables demonstrating an association at p < 0.2 subsequently included in multivariable logistic regression models using a backward selection approach to construct the predictive models for the outcomes: (1) presence of ischemic lesions, (2) functional outcome evaluated by mRS scale, and (3) mortality in spontaneous intracerebral hemorrhage patients. Categorical variables were dummy-coded when appropriate. Statistical significance was set at p < 0.05 (two-tailed). The study was approved by the institutional review board (IRB), based on ethical guidelines and ethical. The Ethics Committee granted a waiver of informed consent as the research relied on the hospital's stroke database. Statistical analyses were performed using Stata 18 (StataCorp LLC, College Station, TX) and RStudio (version 2025.05.1 + 523; Posit Software, PBC) using tidyverse, ggplot2, gtsummary, dplyr, mlogit, and epiR packages. The https://dagitty.net/dags.html were used to construct the DAG. RESULTS From a total of 295 patients evaluated in a tertiary hospital stroke registry, 89 fulfilled the inclusion and exclusion criteria and were included in our study. (Fig. 1 ). The mean age was 61.3 ± 16.6 years, and 47 (52.8%) were female. Comorbidities included chronic hypertension in 52 patients (58.4%), diabetes mellitus in 27 (30.3%), and atrial fibrillation in 6 (6.7%). At baseline, 4 patients (4.5%) were receiving oral anticoagulants and 13 (14.6%) were on antiplatelet therapy. The median NIHSS score was 3 (IQR 0–8), and the median Glasgow Coma Scale score was 15 (IQR 13–15). The cohort was divided into two groups according to the presence of ischemic lesions (named DWI +) or the absence of ischemic lesions (named DWI -). Ischemic lesions were identified in 27% of patients (n = 24). ICH etiologies included hypertensive (n = 35, 39.8%), cerebral amyloid angiopathy (n = 26, 29.5%), structural lesions (n = 16, 20.5%), medications (n = 4, 4.5%), undetermined (n = 4, 4.5%) and systemic disease (n = 1, 1.1%). The overall median ICH volume was 14mL (IQR 6.3–33). There were no differences in hematoma volume between the DWI + and DWI– groups (17 mL vs. 13 mL, p = 0.190). The median ICH score for the overall cohort was 1 (IQR 0–1), with no differences between groups [DWI+: median 1 (IQR 0–2.25); DWI–: median 1 (IQR 0–2); p = 0.06]. Patients in the DWI + group showed a trend toward higher NIHSS scores at admission compared with the DWI– group [median 3 (IQR 1–13) vs. 3 (IQR 0–5), p = 0.077]. Glasgow Coma Scale scores were lower in the DWI + group [median 13 (IQR 10–15)] than in the DWI– group [median 15 (IQR 14–15)] (p = 0.036). At admission, functional dependence assessed by the modified Rankin Scale (mRS) had a median score of 0 (IQR 0–1), with no differences between the DWI + and DWI– groups. Similarly, there were no differences in age [mean 64.9 ± 14.2 vs. 60 ± 17.3 years; p = 0.182] or sex distribution [13 patients (54.2%) vs. 34 patients (52.3%); p = 1.0]. Cortical superficial siderosis was more prevalent in patients with DW + compared with those with DWI- (n = 6, 66.7% vs 3, 33.3% patients, p = 0.015), while the presence of microbleed (n = 17, 25% vs. n = 51, 75%, p = 0.638) and Fazekas scores showed no differences between groups (Table 1 ). Inter-rater agreement for neuroimaging assessments demonstrated good reliability (κ = 0.765, 95% CI 0.46–0.90, p < 0.001), with 89.9% concordance between vascular neurologists (MM, ER). Table 1 Demographic characteristics of the study population Total cohort (n = 89) DWI - 65 (73) DWI + 24 (27) p-value Age* 61,3 (± 16,6) 60(± 17,3) 64,9 (± 14,2) 0,182** Gender n(%) 1,0 ¶ Female 47 (52,8) 34 (52,3) 13 (54,2) SMASH-U n(%) 0,169 ¥ Hypertension 35 (39,8) 27 (42,2) 8 (33,3) Amyloid angiopathy 26 (29,5) 14 (21,2) 12 (50) Structural lesions 18 (20,5) 15 (23,4) 3 (12,5) Medication 4 (4,5) 4 (6,3) 0 Systemic disease 1 (1.1) 1 (1,5) 0 Unknown 4 (4,5) 3 (4,7) 1 (4,2) NIHSS £ 3 (0–8) 3 (0–5) 3 (1–13) 0,077ª Glasgow £ 15 (13–15) 15 (14–15) 14 (10–15) 0,036ª Rankin n(%) 0,905 ¥ 0 60 (67,4) 43 (66,2) 17 (70,8) 1 11 (12,4) 8 (12,3) 3 (12,5) 2 1 (1) 1(1,5) 0 3 3 (3,4) 3 (4,6) 0 4 6 (6,7) 5 (7,7) 1 (4,2) 5 8 (8,9) 5 (7,7) 3 (12,5) Hypertension 52 (58,4) 38 (58,5) 14 (58,3) 0,100 ¶ Diabetes mellitus 27 (30,3) 20 (30,8) 7 (29,2) 0,100 ¶ Dyslipidemia 22 (24,7) 17 (26,2) 5 (20,8) 0,811 ¶ Atrial fibrillation 6 (6,7) 5 (7,7) 1 (4,2) 0,100 ¥ Anticoagulation 4 (4,5) 4 (6,2) 0 0,571 ¥ Antiplatelet Therapy 13 (14,6) 8 (12,3) 5 (20,8) 0,268 ¥ ICH Volume ADM 14 (6,3–33) 13 (5,6–26) 17 (7,3–62,8) 0,190 ICH expansion 10 (12) 3 (6,3) 7 (21) 0,082 ICH score * 1 (0–2) 1 (0–2) 1 (0–2,25) 0,06 Microbleeds 21 (23,6) 51 (75) 17 (25) 0,638 Cortical superficial siderosis 9 (10,1) 3 (33,3) 6 (66,7) 0,015 Fazekas score 0,395 0 29 (32,6) 22 (75,9) 7 (24,1) 1 33 (37,1) 26 (78,8) 7 (21,2) 2 14 (15,7) 10 (71,4) 4 (28,6) 3 13 (14,6) 7 (53,8) 6 (46,2) ICH location 0,997 Lobar 43 (50) 27 (41,5) 16 (76,2) Basal ganglia 27 (31,4) 23 (35,4) 4 (19) Infratentorial 16 (18,6) 15 (23,1) 1 (4,8) Ischemic lesion location Cortical 11(45,8) Perihematomal 8 (33,3) Both 5 (20,8) SBP ADM * 150,1 (± 32,3) 149 (± 32,5) 152 (± 32,2) 0,676 DBP ADM * 82,4 (± 17,4) 83,6 (± 17,7) 79,1 (± 16,5) 0,270 MAP ADM * 104,9 (± 20,6) 105 (± 21) 104 (± 20) 0,696 SBP MAX ¶ 160(145–184) 158 (144–182) 174(150–186) 0,118 DBP MAX * 90,9 (± 19.5) 90 (± 15) 93,4 (± 18,1) 0,421 MAP MAX * 115,6 (± 17,8) 114 (± 16,7) 120 (± 20,4) 0,223 Hospital LOS 13 (5–27) 10 (5–19) 20 (9–53) 0,005 a ICU LOS 4 (1–8) 3 (0–6) 5 (2–18) 0,022 a CAA : cerebral amyloid angiopathy. ADM : Admission. LOS : length of stay The mean admission systolic blood pressure (SBP) for the entire cohort was 150.1 ± 32.3 mmHg. When stratified by MRI lesion status, admission SBP was similar between groups, measuring 152.0 ± 32.2 mmHg in the DWI + group and 149.0 ± 32.5 mmHg in the DWI– group (mean difference 3.0 mmHg; 95% CI − 18.8 to 12.3; p = 0.676). The mean admission diastolic blood pressure (DBP ADM) for the cohort was 82.4 ± 17.4 mmHg, with similar values between patients with and without DWI lesions (79.1 ± 16.5 mmHg vs. 83.6 ± 17.7 mmHg; mean difference 4.5 mmHg, 95% CI − 3.6 to 12.6; p = 0.270). Similarly, the mean admission mean arterial pressure (MAP) was 104.9 ± 20.6 mmHg overall, with nearly identical values in patients with and without ischemic lesions (104 ± 20 mmHg vs. 105 ± 21 mmHg; mean difference − 1.0 mmHg, 95% CI − 7.9 to 11.7; p = 0.696). In the entire cohort, the median maximum systolic blood pressure (SBP MAX) within 48 hours post-admission was 160 mmHg (IQR 144.8–184.2). Patients in the DWI + group had a trend towards higher maximum SBP values compared with the DWI– group [median 174 mmHg (IQR 150–186) vs. 158 mmHg (IQR 144–182); mean difference 16 mmHg, 95% CI − 25.0 to 4.0; p = 0.118]. Other hemodynamic variables are presented in Table 1 . Variables showing an association with ischemic lesions at p < 0.20 in univariate analyses were entered into multivariable logistic regression models to determine independent predictors (Table 2 ). The final model identified the following significant predictors: cerebral amyloid angiopathy (OR 12.8, 95% CI 2.55–91.6; p = 0.004), ICH volume at admission (OR 0.98, 95% CI 0.95–1.00; p = 0.047), maximum systolic blood pressure within 48 hours post-admission (OR 1.04, 95% CI 1.01–1.07; p = 0.015), intraventricular hemorrhage (OR 19.5, 95% CI 3.97–136; p < 0.001), and superficial cortical siderosis (OR 15.8, 95% CI 2.0–194; p = 0.015). These findings are detailed in Table 2 and visually represented in Fig. 3 as a forest plot. Table 2 Predictors of Ischemic Lesion Variables Univariate Multivariate OR 95%CI p-Value OR 95%CI p-Value Cerebral Amyloid Angiopathy AnAngiopathynoAAngiopathy 3,57 1,33 − 9,85 0,01 12,8 2,55–91,6 0,004 Admission ICH Volume* 1,01 1,0–1,02 0,13 0,98 0,95 − 1,0 0,047 Maximum SBP 48h** 1,01 1,0–1,03 0,11 1,04 1,01–1,07 0,015 Intraventricular Hemorrhage 4,31 1,60 − 12,0 0,004 19,5 3,97–136 < 0,001 Cortical Superficial Siderosis 6,70 1,28–45,5 0,010 15,8 2,0-194 0,015 * ICH Volume at hospital admission ** Maximum SBP within 48h after ICH. To evaluate predictors of poor functional outcome, univariate analyses were first conducted, and variables with an association at p < 0.20 were subsequently included in multivariable regression models. Among the 24 patients with ischemic injury on MRI (27% of the total cohort), 11 (21.1%) achieved a good functional outcome (mRS 0–2), while 13 (35.1%) had a poor functional outcome (mRS 3–6). Although patients with ischemic injury showed a trend toward worse outcomes, the difference did not reach statistical significance (OR 2.02, 95% CI 0.78–5.21; p = 0.14), as illustrated in Fig. 4 . A multivariable logistic regression with the "backwards selection approach" identified as significant independent predictors for poor outcome models: Antiplatelet Therapy (OR = 7.24, 95% CI 1.57–41.5; p = 0.015), ICH Volume on Admission (OR = 1.04, 95% CI 1.02–1.07, p = 0.002) and Hematoma Expansion (OR = 6.06, 95% CI 1.16–37.2; p = 0.037). Table 3 and Fig. 5 present the aforementioned data. Table 3 Predictors of Poor Outcome (mRS 3–6). Variables Univariate Multivariate 95%CI p-Value 95%CI p-Value 95%CI p-Valor Antiplatelet Therapy 6,05 1,53 − 23,9 0,005 7,24 1,57 − 41,5 0,015 Admission ICH Volume* 1,04 1,02 − 1,06 0,001 1,04 1,02 − 1,07 0,002 Hematoma Expansion 4,04 0,96 − 16,9 0,082 6,06 1,16–37,2 0,037 * ICH Volume at hospital admission. In the univariate analysis, the variables most strongly associated with mortality were infratentorial ICH location (OR = 9.47, 95% CI 0.85–212, p = 0.074), the presence of microbleeds ( p = 0.037), cortical superficial siderosis (OR = 4.87, 95% CI 0.21–56.8, p = 0.28), and length of ICU stay (OR = 1.02, 95% CI 0.84–1.12, p = 0.17). A higher Glasgow Coma Scale score was independently associated with lower odds of death (OR = 0.74, 95% CI 0.55–0.96; p = 0.023), as presented in Table 4 and Fig. 6 . In a multivariate analysis, the Glasgow Coma Scale score emerged as the most significant predictor of mortality (OR = 0.65, 95% CI 0.33–0.91, p = 0.038), as demonstrated in Table 4 and Fig. 6 . The median LOS for the entire cohort was 13 days (IQR 5–27 days). Among DWI- group, the median LOS was 10 days (IQR 5–19 days), while those with DWI + showed a significantly longer median LOS of 20 days (IQR 9–53 days) with a p-value 0.005). Patients in DWI- group demonstrated a median ICU stay of 3 days (IQR 0–6 days), whereas those in DWI + had a significantly longer median ICU stay of 5 days (IQR 2–18 days), p = 0.022. Figure 7 show this data. DISCUSSION Our study identified ischemic lesions on MRI in 27% of patients with spontaneous intracerebral hemorrhage ICH.(16,17) These patients demonstrated lower GCS scores at admission, with cerebral amyloid angiopathy being the most frequent ICH etiology. Multivariate logistic regression analysis identified several independent predictors of ischemic lesions like ICH admission volume, maximum SBP within 48 hours post-ictus, presence of intraventricular hemorrhage on admission CT, and cortical superficial siderosis. Poor functional outcome were associated with prior antiplatelet use, ICH admission volume, and hematoma expansion as predictors. Lower GCS scores predicted higher mortality. Patients with ischemic lesions on MRI experienced significantly longer hospital and ICU stays. The reported prevalence of ischemic lesions in spontaneous ICH varies considerably (11–41%) across studies, ( 18 – 20 ) though none have previously examined this in a multiethnic population, making our study the largest such investigation to date. Two predominant but unresolved pathophysiological mechanisms have been proposed to explain these ischemic lesions: (1) small vessel disease pathophysiology and (2) altered cerebral blood flow (CBF) secondary to perihematomal microcirculation compression from hematoma volume and associated edema, leading to hypoperfusion and ischemia. Additional contributing factors may include impaired cerebral perfusion pressure (CPP) from intracranial hypertension, cerebral autoregulation dysfunction causing vasoplegia (mediated by acidosis and ischemia), chronic hypertension, inflammatory mediators released by the hematoma itself, and CPP reduction from intensive blood pressure control remains unproved ( 12 , 21 – 25 ) . However, conflicting reports exist, with some studies failing to demonstrate ischemia, instead suggesting reduced oxygen extraction fraction and regional metabolic demand due to blood toxicity and inflammatory cytokine release, mechanisms that have been increasingly described and investigated in this patient population ( 12 , 19 ) . The relationship between blood pressure parameters and ischemic lesions remains particularly debated. While most ICH patients present hypertensive (even without prior hypertension diagnosis), studies conflict regarding the impact of intensive blood pressure reduction (< 130/90 mmHg) on ischemic lesion development. ( 22 , 26 , 27 ) In this situation, the predominant hypothesis suggests that cerebral autoregulation impairment renders CBF directly CPP-dependent, such that rapid BP reduction may critically lower CPP and CBF, inducing hypoxia and MRI-visible ischemia ( 13 ) . A pooled analysis of 4,782 patients from three RCTs (ATACH-II ( 28 ) , i-DEF ( 29 ) , MISTIE-III ( 30 ) ) and one prospective cohort (ERICH ( 31 ) ) found admission SBP independently predicted ischemic lesions (OR = 1.13 per 10 mmHg increase, 95% CI 1.08–1.18), while BP variability and hypertension history showed no association ( 18 ) . Our findings differed somewhat, with maximum SBP within 48 hours (rather than admission SBP) showing weak association, while cerebral amyloid angiopathy and superficial cortical siderosis demonstrated strong predictive value. Intraventricular hemorrhage similarly showed robust association, consistent with literature, demonstrating its prognostic significance. ( 32 – 36 ) Similarly, a recently published multicenter, randomized, open-label trial with blinded outcome assessment, comparing intensive blood pressure control (< 140 mmHg within 1 hour post-randomization, intervention group) versus standard control (< 180 mmHg, control group), reported ischemic lesions in 13 patients (31%) in the intervention group and 14 patients (38%) in the control group (OR = 0.74, 95% CI 0.12–4.64, p = 0.32), demonstrating a lack in relationship between blood pressure control and ischemic lesions. ( 37 ) The clinical relevance of these ischemic lesions remains controversial. While some studies associate them with worse functional outcomes (OR = 1.50, 95% CI 1.13-2.00, p = 0.005), ( 18 , 36 , 38 – 40 ) others - including ours (OR = 2.02, 95% CI 0.78–5.21, p = 0.14) - found no significant association. ( 29 , 41 – 43 ) This suggests that ischemic lesions might represent markers of disease severity rather than direct contributors to disability. Similarly, while some reports link ischemic lesions to increased mortality, ( 39 , 44 – 47 ) most studies, including ours, found no such association. ( 48 , 49 ) . The higher hospital length of stay were observed in patients in DWI + versus DWI- groups aligns with prior reports ( 38 ) and further supports their role as severity markers. Our cohort's demographic and comorbidity profiles matched literature reports, with hypertension and diabetes being most prevalent. ( 13 , 20 , 29 , 50 – 53 ) . In our cohort, the SMASH-U classification ( 55 , 56 ) identified hypertensive microangiopathy and cerebral amyloid angiopathy (29.5%) as the predominant causes of ICH, with the latter showing a strong association with ischemic lesions, suggesting a shared underlying pathophysiology. ( 42 , 57 – 59 ) Our study has several limitations. Its observational design introduces inherent biases, including secondary selection bias, lack of randomization, and absence of allocation concealment. Requiring MRI availability may have further favored clinically stable patients, contributing to lower-than-expected mortality (observation bias). As in all observational studies, unmeasured confounders limit internal validity. Non-probabilistic enrollment may have reduced the sample size, and post-hoc analysis confirmed inadequate power (72% at α = 0.05), increasing type I error; therefore, a more conservative threshold (p 24h post-ictus) limiting hematoma and hemodynamic assessments, and incomplete SMASH-U classification requiring retrospective adjudication. CONCLUSION In conclusion, acute ischemic lesions were detectable by MRI in 27% of this multiethnic cohort with spontaneous intracerebral hemorrhage. Independent predictors included admission ICH volume on CT, maximum systolic blood pressure within 48 hours, cerebral amyloid angiopathy, superficial cortical siderosis, and intraventricular hemorrhage. Poor functional outcomes were associated with antiplatelet use, larger admission ICH volume, and hematoma expansion, while lower Glasgow Coma Scale scores were the main predictor of mortality. These findings provide novel epidemiological data from a previously unstudied population and underscore the multifactorial nature of ischemic lesion development in ICH. The strong associations with cerebral amyloid angiopathy and cortical siderosis highlight the role of small vessel disease, suggesting that ischemic lesions may represent imaging markers of disease severity rather than direct mediators of outcome, warranting further investigation. Declarations 1. The present manuscript was reviewed in accordance with the Neurocritical Care instructions for authors. 2. Individual author contributions: a. Luiz Dalfior Junior. Participate in study conception and design, acquisition of data, statistical analysis and interpretation of data, drafting of manuscript, critical review, feedback on the manuscript, final approval of the version to be published. b. Eva Rocha. Participate in interpretation of data, drafting of manuscript and critical review, feedback and final approval of the version to be published. c. Maramélia Miranda. Participate in interpretation of data, drafting of manuscript and critical review, feedback and final approval of the version to be published. d. Gisele Sampaio Silva. Participate in study conception and design, interpretation of data, drafting of manuscript, critical review, feedback on the manuscript, final approval of the version to be published. 3. I confirm that authorship requirements have been met, and the final manuscript was approved by all authors. 4. I confirm that this manuscript has not been published elsewhere and is not under consideration by another journal. 5. I confirm the adherence to ethical guidelines and ethical approvals by the institutional review board (IRB). An exemption for obtaining informed consent was received by the ethics committee, as the research relied on the hospital's database. 6. Conflicts of Interest: a. Luiz Dalfior Junior: The author declare that he has no conflicts of interest. b. Eva Rocha: The author declare that she has no conflicts of interest. c. Maramélia Miranda: The author declare that she has no conflicts of interest. d. Gisele Sampaio Silva: The author declare that she has no conflicts of interest. 7. The use of reporting checklist: This is an observational cross-sectional study, and we used the STROBE Statement—Checklist of items that should be included in reports of cross-sectional studies. 8. Sources of funding for the study: This study had no support for the work including Funder, Award, and Grants. References Zhang LF, Yang J, Hong Z, Yuan GG, Zhou BF, Zhao LC, et al. Proportion of different subtypes of stroke in China. V. 34, Stroke. 2003. p. 2091-2096. Mazzoleni V, Padovani A, Morotti A. Emergency management of intracerebral hemorrhage [Internet]. V. 74, Journal of critical care. 2023. 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08:01:55","extension":"xml","order_by":38,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":160941,"visible":true,"origin":"","legend":"","description":"","filename":"NECAD25010050structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/8a94a2803621f4e899943523.xml"},{"id":93016026,"identity":"e895f65e-6fcf-469c-8b7e-bad806576f6a","added_by":"auto","created_at":"2025-10-08 08:01:55","extension":"html","order_by":39,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":177113,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/8123c0bbc276d84e919addc7.html"},{"id":93015983,"identity":"efddafff-f915-485e-9471-3344a437b32f","added_by":"auto","created_at":"2025-10-08 08:01:54","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":66639,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eFlowchart of Patients Inclusion\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCVT\u003c/strong\u003e: Cerebral venous thrombosis. \u003cstrong\u003eHT\u003c/strong\u003e: Hemorrhagic transformation. \u003cstrong\u003eICH\u003c/strong\u003e: Intracerebral hemorrhage. \u003cstrong\u003eMRI\u003c/strong\u003e: Magnetic resonance imaging. \u003cstrong\u003eSAH\u003c/strong\u003e: Subarachnoid hemorrhage.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/21e866beeb6218915819cd65.jpg"},{"id":93015987,"identity":"7b278681-e676-4952-94c1-126b559620a4","added_by":"auto","created_at":"2025-10-08 08:01:54","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":73487,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003eDAG – relationship between hypertension and ischemic lesion\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eLegend: Var:\u003c/strong\u003e Variable\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/09190402a2f638c0cb169768.jpg"},{"id":93018952,"identity":"5d0dba1f-ae44-487f-940f-51d1f8323d6c","added_by":"auto","created_at":"2025-10-08 08:25:54","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":74212,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eForest Plot for predictors of ischemic lesions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e* \u0026nbsp;\u0026nbsp;ICH Volume at hospital admission.\u003c/p\u003e\n\u003cp\u003e** \u0026nbsp;\u0026nbsp;Maximum SBP within 48h after ICH.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/6249d808cc9d9d68880423e1.jpg"},{"id":93015985,"identity":"c83b19bc-21d9-47a9-9bf3-929db1957c0e","added_by":"auto","created_at":"2025-10-08 08:01:54","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":55631,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eModified Rankin Scale (mRS) at Hospital Discharge\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/851cabbbc592cf9f8e144853.jpg"},{"id":93017267,"identity":"cee694f7-03f7-4d91-892b-bcaddcc14eac","added_by":"auto","created_at":"2025-10-08 08:09:54","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":69490,"visible":true,"origin":"","legend":"\u003cp\u003eForest Plot: Predictors of Poor Outcome (mRS 3-6).\u003c/p\u003e\n\u003cp\u003e* ICH Volume at hospital admission.\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/5dbdc156d73e828c725ab321.jpg"},{"id":93017266,"identity":"2e78a74c-80fc-4326-b9de-5bc06d930e22","added_by":"auto","created_at":"2025-10-08 08:09:54","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":44711,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eForest Plot for Predictors of Mortality\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/8afb9b1d402867c8aca8f553.jpg"},{"id":93017272,"identity":"a2003dd3-db46-4bd2-a85f-52263060d0df","added_by":"auto","created_at":"2025-10-08 08:09:54","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":80569,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eLength of ICU and Hospital Stay\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eICU: \u0026nbsp;\u0026nbsp;Intensive care unit\u003c/p\u003e\n\u003cp\u003eLOS: Length of stay\u003c/p\u003e","description":"","filename":"7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/a5dcfeeae5e7734276aa6500.jpg"},{"id":93812244,"identity":"01175e0f-66bd-4568-9e7a-7a4f0f2c4459","added_by":"auto","created_at":"2025-10-17 20:38:31","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1665180,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/7dbfcaf6-56be-4e45-b73b-a2aaf46ea5f5.pdf"},{"id":93015992,"identity":"7c34068e-c01b-4435-9a13-2dc37f371c78","added_by":"auto","created_at":"2025-10-08 08:01:54","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":32755,"visible":true,"origin":"","legend":"","description":"","filename":"STROBEchecklistcrosssectional.docx","url":"https://assets-eu.researchsquare.com/files/rs-7624022/v1/f3c3b6aeea1c6d26f241d020.docx"}],"financialInterests":"","formattedTitle":"\u003cp\u003ePrevalence and Predictors of Ischemic Lesions in Spontaneous Intracerebral Hemorrhage in a Multiethnic Population: an Observational Study\u003c/p\u003e","fulltext":[{"header":"INTRODUCTION","content":"\u003cp\u003eIntracerebral hemorrhage (ICH) is the second most common type of stroke, with an estimated incidence of 10 to 25 cases per 100,000 individuals annually and a prevalence of 15%. \u003csup\u003e(\u003cspan additionalcitationids=\"CR2\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e)\u003c/sup\u003e However, it exhibits higher morbidity and mortality, reaching 50% at 30 days and 20\u0026ndash;30% at three months. \u003csup\u003e(\u003cspan additionalcitationids=\"CR5 CR6\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e)\u003c/sup\u003e These outcomes are influenced by multiple factors, including hematoma expansion, ICH volume, patient age, Glasgow Coma Scale (GCS) score at admission, hemorrhage location, and the presence of intraventricular hemorrhage. \u003csup\u003e(\u003cspan additionalcitationids=\"CR9\" citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e)\u003c/sup\u003e\u003c/p\u003e\u003cp\u003eSince the early 2000s, several authors have described hyperintense lesions on magnetic resonance imaging (MRI) in the acute phase of spontaneous ICH. These lesions exhibit features suggestive of ischemia, appearing as small hyperintense foci on diffusion-weighted imaging (DWI) and as hypointense on apparent diffusion coefficient (ADC). They are observed perihematomal and remotely, including in the contralateral cerebral hemisphere to the ICH. \u003csup\u003e(\u003cspan additionalcitationids=\"CR12 CR13 CR14\" citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e)\u003c/sup\u003e\u003c/p\u003e\u003cp\u003eNumerous studies have investigated the prevalence and predictors of ischemic lesions on MRI to establish causal relationships and their impact on ICH prognosis; however, with conflicting results. To date, no study has examined these outcomes in a multiethnic population. We therefore investigated the prevalence of acute-phase MRI ischemic lesions (within 30 days of ICH), as well as their predictive factors and associated clinical outcomes in this population.\u003c/p\u003e"},{"header":"MATERIALS AND METHODS","content":"\u003cp\u003eWe conducted a cross-sectional study with data obtained from consecutive adult patients diagnosed with ICH admitted to a private tertiary Brazilian hospital between January 2009 and December 2018. Exclusion criteria were: secondary ICH due to cerebral venous thrombosis, hemorrhagic transformation of ischemic stroke, patients younger than 18 years old, pregnant women, patients who did not undergo to MRI and patients with MRI artifacts that impede the evaluation of ischemic lesions.\u003c/p\u003e\u003cp\u003eWe collected demographic data, baseline characteristics, comorbidities, laboratory results, imaging findings, and discharge outcomes. Medication use potentially associated with ICH, including anticoagulants and antiplatelet agents, was recorded. Two senior vascular neurologists (MM, ER), blinded to clinical data, independently reviewed imaging studies to assess: (1) the presence of ischemic lesions on MRI, (2) the presence of microbleeds, (3) microbleed count, (4) the presence of superficial cortical siderosis, and (5) Fazekas score. Inter-rater agreement was evaluated using Cohen's kappa coefficient. All neuroimaging studies were evaluated according to the Boston 2.0 criteria to assess the presence of cerebral amyloid angiopathy. In addition, the underlying cause of intracerebral hemorrhage was classified using the SMASH-U system, which categorizes ICH etiology into six groups: Structural vascular lesions, Medication-related, Amyloid angiopathy, Systemic/other disease, Hypertension, and Undetermined.\u003c/p\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eStatistical Analysis\u003c/h2\u003e\u003cp\u003eNormally distributed variables were expressed as mean and standard deviation (SD), and non-normal variables as median and interquartile range (IQR). Parametric comparisons used Student's t-test (paired/unpaired when indicated), while non-parametric tests employed Mann-Whitney U (unpaired) or Wilcoxon signed-rank (paired) tests. Categorical variables were reported as absolute values and proportions, analyzed using Chi-Square or Fisher's exact tests as appropriate. The strength of association was quantified via Odds Ratios (OR) and their 95% confidence intervals (CI), calculated using Cochran-Mantel-Haenszel tests and multivariate logistic regression.\u003c/p\u003e\u003cp\u003eA directed acyclic graph was constructed to identify confounders like age and gender (DAG; Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e2\u003c/span\u003e), which were controlled using multivariate logistic regression with backward selection. Univariate analyses were initially performed, with variables demonstrating an association at p\u0026thinsp;\u0026lt;\u0026thinsp;0.2 subsequently included in multivariable logistic regression models using a backward selection approach to construct the predictive models for the outcomes: (1) presence of ischemic lesions, (2) functional outcome evaluated by mRS scale, and (3) mortality in spontaneous intracerebral hemorrhage patients. Categorical variables were dummy-coded when appropriate. Statistical significance was set at p\u0026thinsp;\u0026lt;\u0026thinsp;0.05 (two-tailed).\u003c/p\u003e\u003cp\u003e The study was approved by the institutional review board (IRB), based on ethical guidelines and ethical. The Ethics Committee granted a waiver of informed consent as the research relied on the hospital's stroke database.\u003c/p\u003e\u003cp\u003eStatistical analyses were performed using Stata 18 (StataCorp LLC, College Station, TX) and RStudio (version 2025.05.1\u0026thinsp;+\u0026thinsp;523; Posit Software, PBC) using tidyverse, ggplot2, gtsummary, dplyr, mlogit, and epiR packages. The \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://dagitty.net/dags.html\u003c/span\u003e\u003cspan address=\"https://dagitty.net/dags.html\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e were used to construct the DAG.\u003c/p\u003e\u003c/div\u003e"},{"header":"RESULTS","content":"\u003cp\u003e From a total of 295 patients evaluated in a tertiary hospital stroke registry, 89 fulfilled the inclusion and exclusion criteria and were included in our study. (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). The mean age was 61.3\u0026thinsp;\u0026plusmn;\u0026thinsp;16.6 years, and 47 (52.8%) were female. Comorbidities included chronic hypertension in 52 patients (58.4%), diabetes mellitus in 27 (30.3%), and atrial fibrillation in 6 (6.7%). At baseline, 4 patients (4.5%) were receiving oral anticoagulants and 13 (14.6%) were on antiplatelet therapy. The median NIHSS score was 3 (IQR 0\u0026ndash;8), and the median Glasgow Coma Scale score was 15 (IQR 13\u0026ndash;15).\u003c/p\u003e\u003cp\u003eThe cohort was divided into two groups according to the presence of ischemic lesions (named DWI +) or the absence of ischemic lesions (named DWI -). Ischemic lesions were identified in 27% of patients (n\u0026thinsp;=\u0026thinsp;24). ICH etiologies included hypertensive (n\u0026thinsp;=\u0026thinsp;35, 39.8%), cerebral amyloid angiopathy (n\u0026thinsp;=\u0026thinsp;26, 29.5%), structural lesions (n\u0026thinsp;=\u0026thinsp;16, 20.5%), medications (n\u0026thinsp;=\u0026thinsp;4, 4.5%), undetermined (n\u0026thinsp;=\u0026thinsp;4, 4.5%) and systemic disease (n\u0026thinsp;=\u0026thinsp;1, 1.1%). The overall median ICH volume was 14mL (IQR 6.3\u0026ndash;33). There were no differences in hematoma volume between the DWI\u0026thinsp;+\u0026thinsp;and DWI\u0026ndash; groups (17 mL vs. 13 mL, p\u0026thinsp;=\u0026thinsp;0.190). The median ICH score for the overall cohort was 1 (IQR 0\u0026ndash;1), with no differences between groups [DWI+: median 1 (IQR 0\u0026ndash;2.25); DWI\u0026ndash;: median 1 (IQR 0\u0026ndash;2); p\u0026thinsp;=\u0026thinsp;0.06]. Patients in the DWI\u0026thinsp;+\u0026thinsp;group showed a trend toward higher NIHSS scores at admission compared with the DWI\u0026ndash; group [median 3 (IQR 1\u0026ndash;13) vs. 3 (IQR 0\u0026ndash;5), p\u0026thinsp;=\u0026thinsp;0.077]. Glasgow Coma Scale scores were lower in the DWI\u0026thinsp;+\u0026thinsp;group [median 13 (IQR 10\u0026ndash;15)] than in the DWI\u0026ndash; group [median 15 (IQR 14\u0026ndash;15)] (p\u0026thinsp;=\u0026thinsp;0.036).\u003c/p\u003e\u003cp\u003eAt admission, functional dependence assessed by the modified Rankin Scale (mRS) had a median score of 0 (IQR 0\u0026ndash;1), with no differences between the DWI\u0026thinsp;+\u0026thinsp;and DWI\u0026ndash; groups. Similarly, there were no differences in age [mean 64.9\u0026thinsp;\u0026plusmn;\u0026thinsp;14.2 vs. 60\u0026thinsp;\u0026plusmn;\u0026thinsp;17.3 years; p\u0026thinsp;=\u0026thinsp;0.182] or sex distribution [13 patients (54.2%) vs. 34 patients (52.3%); p\u0026thinsp;=\u0026thinsp;1.0]. Cortical superficial siderosis was more prevalent in patients with DW\u0026thinsp;+\u0026thinsp;compared with those with DWI- (n\u0026thinsp;=\u0026thinsp;6, 66.7% vs 3, 33.3% patients, p\u0026thinsp;=\u0026thinsp;0.015), while the presence of microbleed (n\u0026thinsp;=\u0026thinsp;17, 25% vs. n\u0026thinsp;=\u0026thinsp;51, 75%, p\u0026thinsp;=\u0026thinsp;0.638) and Fazekas scores showed no differences between groups (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Inter-rater agreement for neuroimaging assessments demonstrated good reliability (κ\u0026thinsp;=\u0026thinsp;0.765, 95% CI 0.46\u0026ndash;0.90, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), with 89.9% concordance between vascular neurologists (MM, ER).\u003c/p\u003e\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\u003eDemographic characteristics of the study population\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\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eTotal cohort\u003c/p\u003e\u003cp\u003e(n\u0026thinsp;=\u0026thinsp;89)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eDWI -\u003c/p\u003e\u003cp\u003e65 (73)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eDWI +\u003c/p\u003e\u003cp\u003e24 (27)\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003ep-value\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAge*\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e61,3 (\u0026plusmn;\u0026thinsp;16,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e60(\u0026plusmn;\u0026thinsp;17,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e64,9 (\u0026plusmn;\u0026thinsp;14,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,182**\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eGender n(%)\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\u003cp\u003e1,0\u003csup\u003e\u0026para;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eFemale\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e47 (52,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e34 (52,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e13 (54,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSMASH-U n(%)\u003c/b\u003e\u003c/p\u003e\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\u003cp\u003e0,169\u003csup\u003e\u0026yen;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eHypertension\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e35 (39,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e27 (42,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e8 (33,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eAmyloid angiopathy\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e26 (29,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e14 (21,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e12 (50)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eStructural lesions\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e18 (20,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15 (23,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3 (12,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eMedication\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e4 (4,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e4 (6,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eSystemic disease\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1 (1.1)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1 (1,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eUnknown\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e4 (4,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3 (4,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1 (4,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eNIHSS\u003c/b\u003e\u003csup\u003e\u003cb\u003e\u0026pound;\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3 (0\u0026ndash;8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3 (0\u0026ndash;5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3 (1\u0026ndash;13)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,077\u0026ordf;\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eGlasgow\u003c/b\u003e\u003csup\u003e\u003cb\u003e\u0026pound;\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e15 (13\u0026ndash;15)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15 (14\u0026ndash;15)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e14 (10\u0026ndash;15)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,036\u0026ordf;\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eRankin n(%)\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\u003cp\u003e0,905\u003csup\u003e\u0026yen;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e0\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e60 (67,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e43 (66,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e17 (70,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e1\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e11 (12,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8 (12,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3 (12,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e2\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1 (1)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1(1,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e3\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e3 (3,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3 (4,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e4\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e6 (6,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e5 (7,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1 (4,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e5\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e8 (8,9)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e5 (7,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e3 (12,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHypertension\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\u003cp\u003e52 (58,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e38 (58,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e14 (58,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,100\u003csup\u003e\u0026para;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eDiabetes mellitus\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\u003cp\u003e27 (30,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e20 (30,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7 (29,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,100\u003csup\u003e\u0026para;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eDyslipidemia\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\u003cp\u003e22 (24,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e17 (26,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e5 (20,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,811\u003csup\u003e\u0026para;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAtrial fibrillation\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\u003cp\u003e6 (6,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e5 (7,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1 (4,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,100\u003csup\u003e\u0026yen;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAnticoagulation\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\u003cp\u003e4 (4,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e4 (6,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,571\u003csup\u003e\u0026yen;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAntiplatelet Therapy\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\u003cp\u003e13 (14,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e8 (12,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e5 (20,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,268\u003csup\u003e\u0026yen;\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eICH Volume ADM\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\u003cp\u003e14 (6,3\u0026ndash;33)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e13 (5,6\u0026ndash;26)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e17 (7,3\u0026ndash;62,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,190\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eICH expansion\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\u003cp\u003e10 (12)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3 (6,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7 (21)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,082\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eICH score\u003c/b\u003e\u003csup\u003e\u003cb\u003e*\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1 (0\u0026ndash;2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e1 (0\u0026ndash;2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1 (0\u0026ndash;2,25)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,06\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eMicrobleeds\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\u003cp\u003e21 (23,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e51 (75)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e17 (25)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,638\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eCortical superficial siderosis\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\u003cp\u003e9 (10,1)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3 (33,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e6 (66,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,015\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eFazekas score\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\u003cp\u003e0,395\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e0\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e29 (32,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e22 (75,9)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7 (24,1)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e1\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e33 (37,1)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e26 (78,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7 (21,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e2\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e14 (15,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e10 (71,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4 (28,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003e3\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e13 (14,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e7 (53,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e6 (46,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eICH location\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\u003cp\u003e0,997\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eLobar\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e43 (50)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e27 (41,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e16 (76,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eBasal ganglia\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e27 (31,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e23 (35,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e4 (19)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eInfratentorial\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e16 (18,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e15 (23,1)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1 (4,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u0026nbsp;\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eIschemic lesion location\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\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eCortical\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e11(45,8)\u003c/p\u003e\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\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003ePerihematomal\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e8 (33,3)\u003c/p\u003e\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\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e\u003cb\u003eBoth\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e5 (20,8)\u003c/p\u003e\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\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSBP ADM\u003c/b\u003e\u003csup\u003e\u003cb\u003e*\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e150,1 (\u0026plusmn;\u0026thinsp;32,3)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e149 (\u0026plusmn;\u0026thinsp;32,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e152 (\u0026plusmn;\u0026thinsp;32,2)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,676\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eDBP ADM\u003c/b\u003e\u003csup\u003e\u003cb\u003e*\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e82,4 (\u0026plusmn;\u0026thinsp;17,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e83,6 (\u0026plusmn;\u0026thinsp;17,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e79,1 (\u0026plusmn;\u0026thinsp;16,5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,270\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eMAP ADM\u003c/b\u003e\u003csup\u003e\u003cb\u003e*\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e104,9 (\u0026plusmn;\u0026thinsp;20,6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e105 (\u0026plusmn;\u0026thinsp;21)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e104 (\u0026plusmn;\u0026thinsp;20)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,696\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eSBP MAX\u003c/b\u003e\u003csup\u003e\u003cb\u003e\u0026para;\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e160(145\u0026ndash;184)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e158 (144\u0026ndash;182)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e174(150\u0026ndash;186)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,118\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eDBP MAX\u003c/b\u003e\u003csup\u003e\u003cb\u003e*\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e90,9 (\u0026plusmn;\u0026thinsp;19.5)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e90 (\u0026plusmn;\u0026thinsp;15)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e93,4 (\u0026plusmn;\u0026thinsp;18,1)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,421\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eMAP MAX\u003c/b\u003e\u003csup\u003e\u003cb\u003e*\u003c/b\u003e\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e115,6 (\u0026plusmn;\u0026thinsp;17,8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e114 (\u0026plusmn;\u0026thinsp;16,7)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e120 (\u0026plusmn;\u0026thinsp;20,4)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,223\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHospital LOS\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\u003cp\u003e13 (5\u0026ndash;27)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e10 (5\u0026ndash;19)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e20 (9\u0026ndash;53)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,005\u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eICU LOS\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\u003cp\u003e4 (1\u0026ndash;8)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e3 (0\u0026ndash;6)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e5 (2\u0026ndash;18)\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,022 \u003csup\u003ea\u003c/sup\u003e\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"6\" nameend=\"c6\" namest=\"c1\"\u003e\u003cp\u003e\u003cb\u003eCAA\u003c/b\u003e: cerebral amyloid angiopathy. \u003cb\u003eADM\u003c/b\u003e: Admission. \u003cb\u003eLOS\u003c/b\u003e: length of stay\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\u003eThe mean admission systolic blood pressure (SBP) for the entire cohort was 150.1\u0026thinsp;\u0026plusmn;\u0026thinsp;32.3 mmHg. When stratified by MRI lesion status, admission SBP was similar between groups, measuring 152.0\u0026thinsp;\u0026plusmn;\u0026thinsp;32.2 mmHg in the DWI\u0026thinsp;+\u0026thinsp;group and 149.0\u0026thinsp;\u0026plusmn;\u0026thinsp;32.5 mmHg in the DWI\u0026ndash; group (mean difference 3.0 mmHg; 95% CI \u0026minus;\u0026thinsp;18.8 to 12.3; p\u0026thinsp;=\u0026thinsp;0.676).\u003c/p\u003e\u003cp\u003eThe mean admission diastolic blood pressure (DBP ADM) for the cohort was 82.4\u0026thinsp;\u0026plusmn;\u0026thinsp;17.4 mmHg, with similar values between patients with and without DWI lesions (79.1\u0026thinsp;\u0026plusmn;\u0026thinsp;16.5 mmHg vs. 83.6\u0026thinsp;\u0026plusmn;\u0026thinsp;17.7 mmHg; mean difference 4.5 mmHg, 95% CI \u0026minus;\u0026thinsp;3.6 to 12.6; p\u0026thinsp;=\u0026thinsp;0.270). Similarly, the mean admission mean arterial pressure (MAP) was 104.9\u0026thinsp;\u0026plusmn;\u0026thinsp;20.6 mmHg overall, with nearly identical values in patients with and without ischemic lesions (104\u0026thinsp;\u0026plusmn;\u0026thinsp;20 mmHg vs. 105\u0026thinsp;\u0026plusmn;\u0026thinsp;21 mmHg; mean difference \u0026minus;\u0026thinsp;1.0 mmHg, 95% CI \u0026minus;\u0026thinsp;7.9 to 11.7; p\u0026thinsp;=\u0026thinsp;0.696). In the entire cohort, the median maximum systolic blood pressure (SBP MAX) within 48 hours post-admission was 160 mmHg (IQR 144.8\u0026ndash;184.2). Patients in the DWI\u0026thinsp;+\u0026thinsp;group had a trend towards higher maximum SBP values compared with the DWI\u0026ndash; group [median 174 mmHg (IQR 150\u0026ndash;186) vs. 158 mmHg (IQR 144\u0026ndash;182); mean difference 16 mmHg, 95% CI \u0026minus;\u0026thinsp;25.0 to 4.0; p\u0026thinsp;=\u0026thinsp;0.118]. Other hemodynamic variables are presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\u003cp\u003eVariables showing an association with ischemic lesions at p\u0026thinsp;\u0026lt;\u0026thinsp;0.20 in univariate analyses were entered into multivariable logistic regression models to determine independent predictors (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). The final model identified the following significant predictors: cerebral amyloid angiopathy (OR 12.8, 95% CI 2.55\u0026ndash;91.6; p\u0026thinsp;=\u0026thinsp;0.004), ICH volume at admission (OR 0.98, 95% CI 0.95\u0026ndash;1.00; p\u0026thinsp;=\u0026thinsp;0.047), maximum systolic blood pressure within 48 hours post-admission (OR 1.04, 95% CI 1.01\u0026ndash;1.07; p\u0026thinsp;=\u0026thinsp;0.015), intraventricular hemorrhage (OR 19.5, 95% CI 3.97\u0026ndash;136; p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and superficial cortical siderosis (OR 15.8, 95% CI 2.0\u0026ndash;194; p\u0026thinsp;=\u0026thinsp;0.015). These findings are detailed in Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e and visually represented in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e as a forest plot.\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\u003ePredictors of Ischemic Lesion\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=\"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\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eVariables\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003eUnivariate\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e\u003cp\u003eMultivariate\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eOR\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003e95%CI\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003ep-Value\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eOR\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003e95%CI\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003ep-Value\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\u003eCerebral Amyloid Angiopathy AnAngiopathynoAAngiopathy\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e3,57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,33\u0026thinsp;\u0026minus;\u0026thinsp;9,85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e12,8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2,55\u0026ndash;91,6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,004\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAdmission ICH Volume*\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,0\u0026ndash;1,02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e0,98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e0,95\u0026thinsp;\u0026minus;\u0026thinsp;1,0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,047\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eMaximum SBP 48h**\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,0\u0026ndash;1,03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1,04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1,01\u0026ndash;1,07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,015\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eIntraventricular Hemorrhage\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e4,31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,60\u0026thinsp;\u0026minus;\u0026thinsp;12,0\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,004\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e19,5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e3,97\u0026ndash;136\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e\u0026lt;\u0026thinsp;0,001\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eCortical Superficial Siderosis\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e6,70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,28\u0026ndash;45,5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,010\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e15,8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e2,0-194\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,015\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"7\" nameend=\"c7\" namest=\"c1\"\u003e\u003cp\u003e* ICH Volume at hospital admission\u003c/p\u003e\u003cp\u003e** Maximum SBP within 48h after ICH.\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\u003eTo evaluate predictors of poor functional outcome, univariate analyses were first conducted, and variables with an association at p\u0026thinsp;\u0026lt;\u0026thinsp;0.20 were subsequently included in multivariable regression models. Among the 24 patients with ischemic injury on MRI (27% of the total cohort), 11 (21.1%) achieved a good functional outcome (mRS 0\u0026ndash;2), while 13 (35.1%) had a poor functional outcome (mRS 3\u0026ndash;6). Although patients with ischemic injury showed a trend toward worse outcomes, the difference did not reach statistical significance (OR 2.02, 95% CI 0.78\u0026ndash;5.21; p\u0026thinsp;=\u0026thinsp;0.14), as illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. A multivariable logistic regression with the \"backwards selection approach\" identified as significant independent predictors for poor outcome models: Antiplatelet Therapy (OR\u0026thinsp;=\u0026thinsp;7.24, 95% CI 1.57\u0026ndash;41.5; p\u0026thinsp;=\u0026thinsp;0.015), ICH Volume on Admission (OR\u0026thinsp;=\u0026thinsp;1.04, 95% CI 1.02\u0026ndash;1.07, p\u0026thinsp;=\u0026thinsp;0.002) and Hematoma Expansion (OR\u0026thinsp;=\u0026thinsp;6.06, 95% CI 1.16\u0026ndash;37.2; p\u0026thinsp;=\u0026thinsp;0.037). Table\u0026nbsp;\u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e present the aforementioned data.\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\u003ePredictors of Poor Outcome (mRS 3\u0026ndash;6).\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=\"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\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\" morerows=\"1\" rowspan=\"2\"\u003e\u003cp\u003eVariables\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c4\" namest=\"c2\"\u003e\u003cp\u003eUnivariate\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colspan=\"3\" nameend=\"c7\" namest=\"c5\"\u003e\u003cp\u003eMultivariate\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003e95%CI\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003ep-Value\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003e95%CI\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003ep-Value\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003e95%CI\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003ep-Valor\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\u003eAntiplatelet Therapy\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e6,05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,53\u0026thinsp;\u0026minus;\u0026thinsp;23,9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,005\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e7,24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1,57\u0026thinsp;\u0026minus;\u0026thinsp;41,5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,015\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eAdmission ICH Volume*\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e1,04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e1,02\u0026thinsp;\u0026minus;\u0026thinsp;1,06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,001\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e1,04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1,02\u0026thinsp;\u0026minus;\u0026thinsp;1,07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,002\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cp\u003e\u003cb\u003eHematoma Expansion\u003c/b\u003e\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003e4,04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c3\"\u003e\u003cp\u003e0,96\u0026thinsp;\u0026minus;\u0026thinsp;16,9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c4\"\u003e\u003cp\u003e0,082\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c5\"\u003e\u003cp\u003e6,06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c6\"\u003e\u003cp\u003e1,16\u0026ndash;37,2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c7\"\u003e\u003cp\u003e0,037\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colspan=\"7\" nameend=\"c7\" namest=\"c1\"\u003e\u003cp\u003e* ICH Volume at hospital admission.\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 univariate analysis, the variables most strongly associated with mortality were infratentorial ICH location (OR\u0026thinsp;=\u0026thinsp;9.47, 95% CI 0.85\u0026ndash;212, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.074), the presence of microbleeds (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.037), cortical superficial siderosis (OR\u0026thinsp;=\u0026thinsp;4.87, 95% CI 0.21\u0026ndash;56.8, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.28), and length of ICU stay (OR\u0026thinsp;=\u0026thinsp;1.02, 95% CI 0.84\u0026ndash;1.12, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.17). A higher Glasgow Coma Scale score was independently associated with lower odds of death (OR\u0026thinsp;=\u0026thinsp;0.74, 95% CI 0.55\u0026ndash;0.96; p\u0026thinsp;=\u0026thinsp;0.023), as presented in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e. In a multivariate analysis, the Glasgow Coma Scale score emerged as the most significant predictor of mortality (OR\u0026thinsp;=\u0026thinsp;0.65, 95% CI 0.33\u0026ndash;0.91, p\u0026thinsp;=\u0026thinsp;0.038), as demonstrated in Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e and Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e6\u003c/span\u003e.\u003c/p\u003e\u003cp\u003e\u003cimg 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\" width=\"644\" height=\"159\"\u003e\u003c/p\u003e\u003cp\u003eThe median LOS for the entire cohort was 13 days (IQR 5\u0026ndash;27 days). Among DWI- group, the median LOS was 10 days (IQR 5\u0026ndash;19 days), while those with DWI\u0026thinsp;+\u0026thinsp;showed a significantly longer median LOS of 20 days (IQR 9\u0026ndash;53 days) with a p-value 0.005). Patients in DWI- group demonstrated a median ICU stay of 3 days (IQR 0\u0026ndash;6 days), whereas those in DWI\u0026thinsp;+\u0026thinsp;had a significantly longer median ICU stay of 5 days (IQR 2\u0026ndash;18 days), p\u0026thinsp;=\u0026thinsp;0.022. Figure\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e7\u003c/span\u003e show this data.\u003c/p\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eOur study identified ischemic lesions on MRI in 27% of patients with spontaneous intracerebral hemorrhage ICH.(16,17) These patients demonstrated lower GCS scores at admission, with cerebral amyloid angiopathy being the most frequent ICH etiology. Multivariate logistic regression analysis identified several independent predictors of ischemic lesions like ICH admission volume, maximum SBP within 48 hours post-ictus, presence of intraventricular hemorrhage on admission CT, and cortical superficial siderosis. Poor functional outcome were associated with prior antiplatelet use, ICH admission volume, and hematoma expansion as predictors. Lower GCS scores predicted higher mortality. Patients with ischemic lesions on MRI experienced significantly longer hospital and ICU stays.\u003c/p\u003e\u003cp\u003eThe reported prevalence of ischemic lesions in spontaneous ICH varies considerably (11\u0026ndash;41%) across studies, \u003csup\u003e(\u003cspan additionalcitationids=\"CR19\" citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e)\u003c/sup\u003e though none have previously examined this in a multiethnic population, making our study the largest such investigation to date. Two predominant but unresolved pathophysiological mechanisms have been proposed to explain these ischemic lesions: (1) small vessel disease pathophysiology and (2) altered cerebral blood flow (CBF) secondary to perihematomal microcirculation compression from hematoma volume and associated edema, leading to hypoperfusion and ischemia. Additional contributing factors may include impaired cerebral perfusion pressure (CPP) from intracranial hypertension, cerebral autoregulation dysfunction causing vasoplegia (mediated by acidosis and ischemia), chronic hypertension, inflammatory mediators released by the hematoma itself, and CPP reduction from intensive blood pressure control remains unproved \u003csup\u003e(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan additionalcitationids=\"CR22 CR23 CR24\" citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e)\u003c/sup\u003e. However, conflicting reports exist, with some studies failing to demonstrate ischemia, instead suggesting reduced oxygen extraction fraction and regional metabolic demand due to blood toxicity and inflammatory cytokine release, mechanisms that have been increasingly described and investigated in this patient population \u003csup\u003e(\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e)\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eThe relationship between blood pressure parameters and ischemic lesions remains particularly debated. While most ICH patients present hypertensive (even without prior hypertension diagnosis), studies conflict regarding the impact of intensive blood pressure reduction (\u0026lt;\u0026thinsp;130/90 mmHg) on ischemic lesion development. \u003csup\u003e(\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e, \u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e)\u003c/sup\u003e In this situation, the predominant hypothesis suggests that cerebral autoregulation impairment renders CBF directly CPP-dependent, such that rapid BP reduction may critically lower CPP and CBF, inducing hypoxia and MRI-visible ischemia \u003csup\u003e(\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e)\u003c/sup\u003e. A pooled analysis of 4,782 patients from three RCTs (ATACH-II \u003csup\u003e(\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e)\u003c/sup\u003e, i-DEF \u003csup\u003e(\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e)\u003c/sup\u003e, MISTIE-III \u003csup\u003e(\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e)\u003c/sup\u003e) and one prospective cohort (ERICH \u003csup\u003e(\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e)\u003c/sup\u003e) found admission SBP independently predicted ischemic lesions (OR\u0026thinsp;=\u0026thinsp;1.13 per 10 mmHg increase, 95% CI 1.08\u0026ndash;1.18), while BP variability and hypertension history showed no association \u003csup\u003e(\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e)\u003c/sup\u003e. Our findings differed somewhat, with maximum SBP within 48 hours (rather than admission SBP) showing weak association, while cerebral amyloid angiopathy and superficial cortical siderosis demonstrated strong predictive value. Intraventricular hemorrhage similarly showed robust association, consistent with literature, demonstrating its prognostic significance. \u003csup\u003e(\u003cspan additionalcitationids=\"CR33 CR34 CR35\" citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e)\u003c/sup\u003e Similarly, a recently published multicenter, randomized, open-label trial with blinded outcome assessment, comparing intensive blood pressure control (\u0026lt;\u0026thinsp;140 mmHg within 1 hour post-randomization, intervention group) versus standard control (\u0026lt;\u0026thinsp;180 mmHg, control group), reported ischemic lesions in 13 patients (31%) in the intervention group and 14 patients (38%) in the control group (OR\u0026thinsp;=\u0026thinsp;0.74, 95% CI 0.12\u0026ndash;4.64, p\u0026thinsp;=\u0026thinsp;0.32), demonstrating a lack in relationship between blood pressure control and ischemic lesions.\u003csup\u003e(\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e)\u003c/sup\u003e\u003c/p\u003e\u003cp\u003eThe clinical relevance of these ischemic lesions remains controversial. While some studies associate them with worse functional outcomes (OR\u0026thinsp;=\u0026thinsp;1.50, 95% CI 1.13-2.00, p\u0026thinsp;=\u0026thinsp;0.005), \u003csup\u003e(\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e, \u003cspan additionalcitationids=\"CR39\" citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e)\u003c/sup\u003e others - including ours (OR\u0026thinsp;=\u0026thinsp;2.02, 95% CI 0.78\u0026ndash;5.21, p\u0026thinsp;=\u0026thinsp;0.14) - found no significant association. \u003csup\u003e(\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan additionalcitationids=\"CR42\" citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e)\u003c/sup\u003e This suggests that ischemic lesions might represent markers of disease severity rather than direct contributors to disability. Similarly, while some reports link ischemic lesions to increased mortality, \u003csup\u003e(\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e, \u003cspan additionalcitationids=\"CR45 CR46\" citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e)\u003c/sup\u003e most studies, including ours, found no such association. \u003csup\u003e(\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e, \u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e)\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eThe higher hospital length of stay were observed in patients in DWI\u0026thinsp;+\u0026thinsp;versus DWI- groups aligns with prior reports \u003csup\u003e(\u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e)\u003c/sup\u003e and further supports their role as severity markers. Our cohort's demographic and comorbidity profiles matched literature reports, with hypertension and diabetes being most prevalent. \u003csup\u003e(\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e, \u003cspan additionalcitationids=\"CR51 CR52\" citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e)\u003c/sup\u003e. In our cohort, the SMASH-U classification \u003csup\u003e(\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e, \u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e)\u003c/sup\u003e identified hypertensive microangiopathy and cerebral amyloid angiopathy (29.5%) as the predominant causes of ICH, with the latter showing a strong association with ischemic lesions, suggesting a shared underlying pathophysiology. \u003csup\u003e(\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e, \u003cspan additionalcitationids=\"CR58\" citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e)\u003c/sup\u003e\u003c/p\u003e\u003cp\u003eOur study has several limitations. Its observational design introduces inherent biases, including secondary selection bias, lack of randomization, and absence of allocation concealment. Requiring MRI availability may have further favored clinically stable patients, contributing to lower-than-expected mortality (observation bias). As in all observational studies, unmeasured confounders limit internal validity. Non-probabilistic enrollment may have reduced the sample size, and post-hoc analysis confirmed inadequate power (72% at α\u0026thinsp;=\u0026thinsp;0.05), increasing type I error; therefore, a more conservative threshold (p\u0026thinsp;\u0026lt;\u0026thinsp;0.2) was used in multivariate models. Additional limitations include follow-up restricted to short-term outcomes, late admissions (\u0026gt;\u0026thinsp;24h post-ictus) limiting hematoma and hemodynamic assessments, and incomplete SMASH-U classification requiring retrospective adjudication.\u003c/p\u003e"},{"header":"CONCLUSION","content":"\u003cp\u003eIn conclusion, acute ischemic lesions were detectable by MRI in 27% of this multiethnic cohort with spontaneous intracerebral hemorrhage. Independent predictors included admission ICH volume on CT, maximum systolic blood pressure within 48 hours, cerebral amyloid angiopathy, superficial cortical siderosis, and intraventricular hemorrhage. Poor functional outcomes were associated with antiplatelet use, larger admission ICH volume, and hematoma expansion, while lower Glasgow Coma Scale scores were the main predictor of mortality.\u003c/p\u003e\u003cp\u003eThese findings provide novel epidemiological data from a previously unstudied population and underscore the multifactorial nature of ischemic lesion development in ICH. The strong associations with cerebral amyloid angiopathy and cortical siderosis highlight the role of small vessel disease, suggesting that ischemic lesions may represent imaging markers of disease severity rather than direct mediators of outcome, warranting further investigation.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e1. The present manuscript was reviewed in accordance with the Neurocritical Care instructions for authors.\u003c/p\u003e\n\u003cp\u003e2.\u0026nbsp;\u0026nbsp;Individual author contributions:\u003c/p\u003e\n\u003cp\u003ea.\u0026nbsp;\u0026nbsp;Luiz Dalfior Junior.\u003c/p\u003e\n\u003cp\u003eParticipate in study conception and design, acquisition of data, statistical analysis and interpretation of data, drafting of manuscript, critical review, feedback on the manuscript, final approval of the version to be published.\u003c/p\u003e\n\u003cp\u003eb.\u0026nbsp;\u0026nbsp;Eva Rocha.\u003c/p\u003e\n\u003cp\u003eParticipate in interpretation of data, drafting of manuscript and critical review, feedback and final approval of the version to be published.\u003c/p\u003e\n\u003cp\u003ec.\u0026nbsp;\u0026nbsp;Maramélia Miranda.\u003c/p\u003e\n\u003cp\u003eParticipate in interpretation of data, drafting of manuscript and critical review, feedback and final approval of the version to be published.\u003c/p\u003e\n\u003cp\u003ed.\u0026nbsp;\u0026nbsp;Gisele Sampaio Silva.\u003c/p\u003e\n\u003cp\u003eParticipate in study conception and design, interpretation of data, drafting of manuscript, critical review, feedback on the manuscript, final approval of the version to be published.\u003c/p\u003e\n\u003cp\u003e3.\u0026nbsp;\u0026nbsp;I confirm that authorship requirements have been met, and the final manuscript was approved by all authors.\u003c/p\u003e\n\u003cp\u003e4.\u0026nbsp;\u0026nbsp;I confirm that this manuscript has not been published elsewhere and is not under consideration by another journal.\u003c/p\u003e\n\u003cp\u003e5.\u0026nbsp;\u0026nbsp;I confirm the adherence to ethical guidelines and ethical approvals by the institutional review board (IRB). An exemption for obtaining informed consent was received by the ethics committee, as the research relied on the hospital's database.\u003c/p\u003e\n\u003cp\u003e6.\u0026nbsp;\u0026nbsp;Conflicts of Interest:\u003c/p\u003e\n\u003cp\u003ea.\u0026nbsp;\u0026nbsp;Luiz Dalfior Junior:\u003c/p\u003e\n\u003cp\u003eThe author declare that he has no conflicts of interest.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eb.\u0026nbsp;\u0026nbsp;Eva Rocha:\u003c/p\u003e\n\u003cp\u003eThe author declare that she has no conflicts of interest.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ec.\u0026nbsp;\u0026nbsp;Maramélia Miranda:\u003c/p\u003e\n\u003cp\u003eThe author declare that she has no conflicts of interest.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ed.\u0026nbsp;\u0026nbsp;Gisele Sampaio Silva:\u003c/p\u003e\n\u003cp\u003eThe author declare that she has no conflicts of interest.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e7.\u0026nbsp;\u0026nbsp;The use of reporting checklist:\u003c/p\u003e\n\u003cp\u003eThis is an observational cross-sectional study, and we used the STROBE Statement—Checklist of items that should be included in reports of cross-sectional studies. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e8.\u0026nbsp;\u0026nbsp;Sources of funding for the study:\u003c/p\u003e\n\u003cp\u003eThis study had no support for the work including Funder, Award, and Grants.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eZhang LF, Yang J, Hong Z, Yuan GG, Zhou BF, Zhao LC, et al. 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Diabetes mellitus, fasting blood glucose concentration, and risk of vascular disease: A collaborative meta-analysis of 102 prospective studies. V. 375, The Lancet. 2010. p. 112\u0026ndash;23. \u003c/li\u003e\n\u003cli\u003eQureshi AI, Palesch YY, Barsan WG, Hanley DF, Hsu CY, Martin RL, et al. Intensive Blood-Pressure Lowering in Patients with Acute Cerebral Hemorrhage. V. 375, New England Journal of Medicine. 2016. p. 1033\u0026ndash;43. \u003c/li\u003e\n\u003cli\u003eWartenberg KE, Wang X, Mu\u0026ntilde;oz-Venturelli P, Rabinstein AA, Lavados PM, Anderson CS, et al. Intensive Care Unit Admission for Patients in the INTERACT2 ICH Blood Pressure Treatment Trial: Characteristics, Predictors, and Outcomes. V. 26, Neurocritical Care. 2017. p. 371\u0026ndash;8. \u003c/li\u003e\n\u003cli\u003eMenon RS, Burgess RE, Wing JJ, Gibbons MC, Shara NM, Fernandez S, et al. Predictors of highly prevalent brain ischemia in intracerebral hemorrhage. 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Serum Lipid Levels and the Risk of Intracerebral Hemorrhage: The Rotterdam Study. V. 31, Arteriosclerosis, Thrombosis, and Vascular Biology. 2011. p. 2982\u0026ndash;9. \u003c/li\u003e\n\u003cli\u003eSuh I, Jee SH, Kim HC, Nam CM, Kim IS, Appel LJ. Low serum cholesterol and haemorrhagic stroke in men: Korea Medical Insurance Corporation Study. V. 357, The Lancet. 2001. p. 922\u0026ndash;5. \u003c/li\u003e\n\u003cli\u003eAn JS, Kim JT, Yoon BW. Epidemiology, Risk Factors, and Clinical Features of Intracerebral Hemorrhage: An Update. V. 19, Journal of Stroke. 2017. p. 3\u0026ndash;10. \u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Intracerebral hemorrhage, brain hemorrhage, brain ischemia, ischemic lesions, DWI positive, magnetic resonance imaging, hypertension, blood pressure control, microbleed, small vessel disease, predictors, poor outcome","lastPublishedDoi":"10.21203/rs.3.rs-7624022/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7624022/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eIntracerebral hemorrhage (ICH), the second most prevalent stroke type has significant morbidity and mortality, and great functional dependence. Although concomitant ischemic lesions are documented, their prevalence and predictors among ethnic groups are undefined and studies focused on the Brazilian population are currently lacking.\u003c/p\u003e\u003ch2\u003eObjectives\u003c/h2\u003e\u003cp\u003eThe primary objective was to assess the prevalence, predictors, and clinical outcome associations of early post-ICH (\u0026le;\u0026thinsp;15 days) ischemic lesions on MRI. Secondary objectives evaluated their correlations with clinical/epidemiological characteristics, cerebral amyloid angiopathy (CAA), microbleeds, and SMASH-U-defined ICH etiologies.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eThis observational, cross-sectional study analyzed database, imaging, and medical records from consecutive ICH patients admitted to a tertiary hospital from 2009 to 2018. Data were analyzed using multivariable logistic regression to generate a predictive model.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eIn a cohort of 89 patients (mean age 61.3\u0026thinsp;\u0026plusmn;\u0026thinsp;16.6 years; 52.8% female), the prevalence of ischemic lesions was 27% (n\u0026thinsp;=\u0026thinsp;24). The most common etiologies were hypertension (39.8%) and CAA (29.5%). Independent predictors of ischemic lesions included CAA (OR\u0026thinsp;=\u0026thinsp;12.8, 95%CI 2.55\u0026ndash;91.6, p\u0026thinsp;=\u0026thinsp;0.004), admission ICH volume (OR\u0026thinsp;=\u0026thinsp;0.98, 95%CI 0.95-1.0, p\u0026thinsp;=\u0026thinsp;0.047), maximum SBP within 48h (OR\u0026thinsp;=\u0026thinsp;1.04, 95%CI 1.01\u0026ndash;1.07, p\u0026thinsp;=\u0026thinsp;0.015), intraventricular hemorrhage (OR\u0026thinsp;=\u0026thinsp;19.5, 95%CI 3.97\u0026ndash;136, p\u0026thinsp;\u0026lt;\u0026thinsp;0.001), and cortical superficial siderosis (CSS) (OR\u0026thinsp;=\u0026thinsp;15.8, 95%CI 2.0-194, p\u0026thinsp;=\u0026thinsp;0.015). Predictors of poor functional outcome were antiplatelet therapy (OR\u0026thinsp;=\u0026thinsp;7.24, 95%CI 1.57\u0026ndash;41.5, p\u0026thinsp;=\u0026thinsp;0.015), admission ICH volume (OR\u0026thinsp;=\u0026thinsp;1.04, 95%CI 1.02\u0026ndash;1.07 p\u0026thinsp;=\u0026thinsp;0.002), and hematoma expansion (OR\u0026thinsp;=\u0026thinsp;6.06, 95%CI 1.16\u0026ndash;37.2, p\u0026thinsp;=\u0026thinsp;0.037). Ischemia did not predict functional outcome or mortality, though it was associated with longer hospital and ICU stays. The sole predictor of mortality was GCS score (OR\u0026thinsp;=\u0026thinsp;0.65, 95%CI 1.1\u0026ndash;3.03, p\u0026thinsp;=\u0026thinsp;0.038).\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e\u003cp\u003eMRI-detected ischemic lesions were frequent in ICH patients. Independent predictors included CAA, admission ICH volume, maximum SBP within 48h, intraventricular hemorrhage and CSS. No association was found between these lesions and clinical outcomes or mortality. Further research is essential to elucidate the role and pathogenesis of microvascular disease guiding therapeutic strategies.\u003c/p\u003e","manuscriptTitle":"Prevalence and Predictors of Ischemic Lesions in Spontaneous Intracerebral Hemorrhage in a Multiethnic Population: an Observational Study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-08 08:01:49","doi":"10.21203/rs.3.rs-7624022/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"fe8fbf9c-db51-4315-b0b6-7ece64ab1a3f","owner":[],"postedDate":"October 8th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-10-17T20:30:24+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-08 08:01:49","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7624022","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7624022","identity":"rs-7624022","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}