Time Course of Growth Differentiation Factor-15 levels in Post-Resuscitation-Shock after Out-of-hospital Cardiac Arrest

Time Course of Growth Differentiation Factor-15 levels in Post-Resuscitation-Shock after Out-of-hospital Cardiac Arrest | 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 Time Course of Growth Differentiation Factor-15 levels in Post-Resuscitation-Shock after Out-of-hospital Cardiac Arrest Katrin Fink, Tina Braun, Marius Herkel, Daniel Duerschmied, Hans-Jörg Busch, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6810991/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: Shock is a major contributor to the poor prognosis of patients after out-of-hospital cardiac arrest (OHCA). This study investigated whether serial levels of growth differentiation factor (GDF)-15 may serve as a marker for impaired cardiovascular function in OHCA survivors. Methods: This prospective single-center study included 42 adult OHCA patients who were admitted to a tertiary university hospital. Blood was collected from each patient on day 0 (admission), and on days 1, 2, 3 and 5 after ROSC. Serum GDF-15 and NT-proBNP were measured by ELISA and compared to serum levels of 42 patients with coronary artery disease (CAD). Serial GDF-15 levels and a number of outcomes were assessed, including heart failure biomarker (NT-proBNP), left ventricular ejection fraction (LVEF), acute myocardial infarction (AMI)-related OHCA, hemodynamic instability and lactate clearance. Results: Compared to CAD controls, serum GDF-15 levels were consistently elevated from admission to day 5 in OHCA patients. Elevated GDF-15 levels in OHCA patients correlated positively with NT-proBNP levels on day 1, 3 and 5 after ROSC. OHCA patients with LVEF<40% on admission had significantly higher GDF-15 levels than those with LVEF≥40%. Patients with acute myocardial infarction (AMI)-related OHCA had higher GDF-15 levels than patients with non-AMI causes of OHCA. In addition, patients with inadequate lactate clearance and increased and prolonged need for vasopressor/inotropic support, indicating hemodynamic instability, had significantly elevated GDF-15 levels. Conclusion: Elevated GDF-15 levels are associated with AMI-related OHCA and key determinants of impaired cardiovascular function. Therefore, GDF-15 levels facilitate the identification of patients with post-resuscitation shock who require aggressive treatment. Trial Registration: German Clinical Trials Register DRKS; DRKS00009684; registered 27 November 2015; https://drks.de/search/de/trial/DRKS00009684 Cardiopulmonary resuscitation CPR OHCA GDF-15 hemodynamic instability lactate clearance post-resuscitation shock post-cardiac arrest syndrome Figures Figure 1 Figure 2 Introduction Out-of-hospital cardiac arrest (OHCA) is a common cause of death in Europe and Western societies [ 1 ]. Despite decades of research, the prognosis remains poor, with less than 10% surviving to hospital discharge [ 1 ]. Approximately 70% of OHCA patients admitted to hospital die in the intensive care unit (ICU) due to hypoxic-ischemic brain injury or post-resuscitation shock [ 2 ]. The complex pathophysiology of post-resuscitation shock includes vasoplegia and myocardial dysfunction due to systemic ischemia/reperfusion injury and sepsis-like syndrome, both features of post-cardiac arrest syndrome (PCAS) [ 2 ]. Post-resuscitation shock occurs in up to 60% of OHCA patients [ 3 ], contributes to multi-organ failure and poor prognosis [ 4 ] and requires early and aggressive management. Short-term mechanical circulatory support should be considered in highly selected patients with progressive shock refractory to therapy including fluids, vasopressors, inotropes and coronary reperfusion [ 5 ]. Growth differentiation factor-15 (GDF-15), also known as macrophage inhibitory cytokine-1, is a member of the transforming growth factor-beta superfamily [ 6 ]. The protein is expressed in a wide range of cell types, acts as a pleiotropic cytokine and is involved in the stress response program following cellular injury [ 6 ]. GDF-15 is upregulated in the ischemic heart disease, and inhibited recruitment of leukocytes by direct interference with chemokine signaling and integrin activation [ 7 , 8 ]. Elevated levels of GDF-15 protein have been observed in disease states such as tissue hypoxia, inflammation, acute injury and oxidative stress [ 9 , 7 ]. GDF-15 levels have been independently associated with mortality in patients presenting with heart failure [ 10 ], stable coronary artery disease [ 11 ], or acute coronary syndrome [ 12 ]. In adults, elevated GDF-15 levels upon admission to ICU reflected the extent of hypoxic brain injury and predicted poor survival and neurological outcome following OHCA [ 13 , 14 ]. In infants, GDF-15 was associated with the cardiac etiology and cardiovascular failure in patients after survived OHCA [ 15 ]. To date, the role of GDF-15 in the assessment of cardiovascular function in adults following initial OHCA survival remains unclear. The aim of the current study was to investigate serial GDF-15 levels in the post-resuscitation period in adults and to determine a relationship between GDF-15 and clinical variables of cardiovascular function and hemodynamic instability in OHCA survivors. Material and methods Study design This is a prospective, single-center study conducted at the University Hospital of Freiburg, Germany. The study was approved by the Ethics Committee of the University of Freiburg (No.239/16) and is in compliance with the Declaration of Helsinki. Adult patients over 18 years who achieved ROSC after at least five minutes of CPR were eligible for inclusion. Among the screened patients, those with OHCA who reached the hospital, achieved ROSC, and had complete (pre)-clinical parameters and blood samples available at all required time points (days 0, 1, 2, 3, and 5 after ROSC) were included. Resuscitated patients after trauma, pregnant patients and patients with end-stage renal disease (glomerular filtration rate < 15ml/min/1.73m 2 ) requiring dialysis were excluded. A total of 42 OHCA patients were enrolled in the study from May 2016 to March 2018, with informed consent. Informed consent was obtained from resuscitated patients who survived to discharge with a favorable neurological outcome or from their next of kin after personal contact. Patients were admitted to the catheterization laboratory, emergency department, or medical intensive care unit. Resuscitation and post-cardiac arrest care were performed according to the European Resuscitation Council (ERC) guidelines for resuscitation [ 2 ]. The results of the out-of-hospital cardiac arrest (OHCA) patients were compared with those of 42 inpatients with known coronary artery disease (CAD) who were admitted with chest pain to hospital for coronary angiography. Patients with CAD and preserved LVEF were selected as controls because underlying CAD is the most prevalent cause of OHCA, and assessment requires coronary angiography. This approach serves to minimize the influence of confounding variables, including but not limited to, demographic characteristics, comorbidity, and procedural nuances, on the observed outcomes. Outcomes The investigation examined the relationship between GDF-15 and cardiac function subsequent to OHCA. Associations of serum GDF-15 levels on day 0, day 1, day 2, day 3 and day 5 were analyzed with the following outcomes: (1) heart failure biomarker NT-proBNP on the same day, (2) left ventricular ejection fraction (LVEF) by transthoracic echocardiography, (3) occurrence of AMI as the underlying cause of OHCA, (4) hemodynamic instability reflected by the need for more than two catecholamine (either vasopressor or inotropic) or prolonged vasopressor or inotropic therapy beyond 72 hours, (5) impaired lactate clearance in the post-resuscitation period, a marker of ongoing hypoperfusion in shock. Please find the further descriptions of study procedures, materials and methods in the Supplement [ Supplementary Material]. Data handling and statistical analysis Clinical and laboratory data were extracted from the patient data management system of the ICU`s computerized patient report assistant (COPRA system GmbH). The extracted patient data were stored in pseudonymized form. Only authorized study personnel had access to the extracted data. Data were analyzed using SPSS Statistics Software 28 (IBM). Graphs were generated using GraphPad Prism 7 (GraphPad software). As the data were not normally distributed, all variables are presented as median (interquartile range, IQR). Wilcoxon signed rank test was used for dependent samples. For independent samples, the Mann-Whitney U test was used for comparison. Correlations between selected variables were estimated using the Spearman rho test and the corresponding R 2 value was calculated. Statistical significance was defined as a p-value of less than 0.05. Results Baseline characteristics The entire study cohort consisted of 42 adult patients with OHCA and 42 CAD controls. Table 1 displays the demographic and clinical characteristics of the study population. OHCA patients were predominantly male (71.4% male), with a median age of 64 years (interquartile range [IQR]: 52–78). 69% of CAD patients were male, with a median age of 69 years (63–77). A shockable rhythm was registered in 19 OHCA patients (45.2%) as the first rhythm [Table 1 ]. In the OHCA cohort, the median resuscitation time was 18.5 minutes (range: 10–25 minutes). Three OHCA patients had no or non-sustained ROSC, and a further three OHCA patients were in refractory post-resuscitation shock after ROSC, so extracorporeal life support (ECLS) was implanted. Fifteen out of 42 OHCA patients (35.7%) survived to hospital discharge. Of these survivors, 10 OHCA patients (23.8%) were discharged with a favorable neurological outcome (CPC 1–2) [Table 1 ]. Twenty-seven OHCA patients (64.3%) did not survive: 16 non-survivors died as a result of hypoxic-ischemic encephalopathy, 7 died from cardiovascular failure, and a further four expired due to other factors such as sepsis [Table 1 ]. Regulation of serum GDF-15 levels after OHCA GDF-15 levels were measured on admission (day 0) and on days 1–3 and day 5 after resuscitation [Figure 1 ]. GDF-15 serum levels in resuscitated patients were significantly increased at all time points compared to the control group with stable CAD (p < 0.01). In OHCA patients, the lowest serum GDF-15 levels were observed on admission, and these increased on day 1 and remained almost at this level until day 5 [Figure 1 ]. Association of GDF-15 levels with NT-proBNP levels after OHCA Serum NT-proBNP levels were significantly elevated at all time points in the post-resuscitation period (reference range < 125 pg/mL). Serum NT-proBNP levels were elevated after CPR and constantly rising in the post-resuscitation course (admission: 839.0 (371-3199.5) pg/mL; day 1: 1544.0 (662.5–5178) pg/mL; day 2: 1744.0 (604–4702) pg/mL; day 3: 3054.0 (1044-4915.5) pg/mL and day 5 (3111.0 (1222–7348) pg/mL). GDF-15 levels correlated positively with NT-proBNP levels on day 1, day 3 and day 5 after CPR (admission: Spearman’s rho = 0.43/ p = 0.11/ ns; day 1: Spearman’s rho = 0.45/ p < 0.05; day 2: Spearman’s rho = 0.29/ p = 0.38/ ns; day 3: Spearman’s rho = 0.62/ p < 0.05; day 5: Spearman’s rho = 0.53/ p < 0.01). Association of serum GDF-15 levels with impaired LVEF Because GDF-15 was associated with NT-proBNP levels in OHCA patients, we examined whether GDF-15 was associated with LVEF. 21 OHCA patients (50%) exhibit a LVEF ≥ 40% [Table 1 ]. In comparison to patients exhibiting LVEF ≥ 40%, serum GDF-15 levels were significantly elevated during the entire post-resuscitation period (from day 0 to day 5) in OHCA patients with LVEF < 40% [Table 2 ]. Association of serum GDF-15 levels with AMI-related to OHCA When we examined GDF-15 levels by arrest cause, 17 patients (40%) suffered an OHCA due to an AMI. In AMI-related OHCA patients GDF-15 levels were significantly higher on day 1, day 2 and day 3 compared to patients being resuscitated for other reasons [Table 3 ]. Association of serum GDF-15 levels with hemodynamic instability after OHCA Because GDF-15 was elevated in OHCA patients with AMI, reduced LVEF, and increased NT-proBNP levels, we examined whether GDF-15 was associated with hemodynamic instability and vasoactive and inotropic infusion requirements in the post-resuscitation period [Figure 2 ]. None of the OHCA patients' therapies were free of inotropes and vasopressors. Twenty-six OHCA patients (61.9%) received one, and nine patients (21.4%) received two drugs for inotropic or vasopressor support. Seven OHCA patients (16.7%) with severe hemodynamic instability, as reflected by the need for three different inotropes and vasopressors, had significantly higher levels of GDF-15 on day 0, day 3, and day 5 than those treated with one inotrope and/or vasopressor during their ICU stay [Figure 2 ]. A similar trend was observed on day 2, but it did not reach statistical significance (p = 0.06) [Figure 2 ]. Next, we examined whether GDF-15 was associated with the duration of inotropic and vasopressor therapy. Twenty-one OHCA patients (50%) with prolonged inotropic and/or vasopressor treatment for a period exceeding 72 hours exhibited significantly elevated GDF-15 levels on days 2 and 3 following OHCA, compared to patients requiring inotropic and/or vasopressor treatment for a duration of less than 72 hours (n = 13/31%) [Table 4 ]. It is noteworthy that the analysis excluded eight patients (29%) who died within the first 72 hours [Table 4 ]. Association of serum GDF-15 levels with blood lactate clearance after OHCA In the post-resuscitation period, persistently high lactate levels and impaired lactate clearance serve as markers of ongoing hypoperfusion in shock and are independent predictors of survival [ 16 , 17 ]. The median blood lactate level at admission – a surrogate marker for the duration of no-flow and low-flow status after OHCA and CPR – was 7.1 (5.5–9.7) mmol/L on admission and decreased over time [Table 1 ]. The subgroup of 30 patients (71%) with an appropriate lactate clearance of ≥ 1.5 mmol/L within the first 24 hours showed significantly lower GDF-15 levels on admission compared to those with an impaired lactate clearance (n = 12/29%), reflecting ongoing shock [Table 5 ]. Discussion The present study demonstrates that GDF-15 is a biomarker of impaired cardiovascular function in successfully resuscitated adult OHCA patients. The main findings are: (1) In OHCA, patients, elevated GDF-15 levels remains constantly elevated from admission to day 5 after resuscitation [Figure 1 ]; (2) Elevated GDF-15 levels were associated with increased levels of heart failure biomarker NT-proBNP, reduced LVEF < 40%, and OHCA due to AMI [Table 2 , 3 ]; (3) OHCA patients with increased (≥ 3 drugs) and prolonged (≥ 72 hours) inotropic and/or vasopressor support, as well as patients with signs of hypoperfusion and end-organ ischemia due to impaired lactate clearance, had higher GDF-15 levels [Figure 2 ; Table 4 ]. These findings were already detectable on hospital admission, suggesting that GDF-15 may be an early marker of post-resuscitation shock at admission. The post-resuscitation shock is a major complication in the post-resuscitation period and is estimated to be responsible for one third of in-hospital deaths, with over 90% occurring in the first three days after ROSC [ 18 , 19 ]. One strategy to improve outcomes is early identification of high-risk patients at admission, who are at increased risk of post-cardiac arrest shock and may benefit from advanced therapies. Further clinical trials are needed to assess whether GDF-15 could help identify patients at the onset of post-resuscitation shock at an early stage. Four studies have shown an increase in GDF-15 levels on hospital admission following resuscitation [ 13 , 14 , 15 , 20 ]. Only one investigated GDF-15 levels beyond day 1 over time during intensive care and showed a decline in elevated GDF-15 levels in children from admission to 72 hours post-ROSC [ 13 ]. The decline of GDF-15 in resuscitated children contrasts with the time course of GDF-15 levels observed in adult OHCA patients [Figure 1 ]. The present study provides novel evidence of the temporal profile of GDF-15 in resuscitated adults following OHCA and suggests that the triggers of GDF-15 expression may differ in both studies over time, possibly due to the different causes of cardiac arrest in children and adults [ 21 ]. The sustained elevation in GDF-15 levels observed in adult OHCA patients, with a half-life of 3 hours, is most likely the result of continuously increased GDF-15 expression [ 22 ]. This hypothesis is supported by an animal model in which myocardial GDF-15 expression increases for seven days after ischemia/reperfusion injury in the rat heart [ 23 ]. The sustained increase in circulating GDF-15 levels in OHCA patients may be explained by several triggers: First, ischemia/reperfusion injury after survived OHCA promotes oxidative stress, which is known to upregulate GDF-15 gene expression [ 23 ]. Second, following ROSC, there is a rapid and substantial increase in pro-inflammatory cytokines. Systemic inflammation, a pivotal component of the PCAS, has been reported to promote GDF-15 expression [ 24 , 25 ]. Third, end-organ damage, which occurs in PCAS, also triggers GDF-15 expression, as recently shown in kidney, lung and liver injury [ 26 , 27 ]. Taken together, these factors may explain persistent high levels of GDF-15 seen in patients after OHCA in the present study. The four GDF-15 cardiac arrest studies vary in patient cohorts and outcome parameters [ 13 , 14 , 15 , 20 ]. Two studies focused on adult cardiac arrest patients: one analyzed six-month survival and neurological outcome in both in- and out-of-hospital cardiac arrest patients [ 14 ], while the other focused solely on OHCA patients' neurological outcome after six months [ 20 ]. Both studies suggest that GDF-15 is a predictor of unfavorable neurological outcomes and mortality in resuscitated adults [ 14 , 20 ]. The other two studies focused on pediatric in- and out-of-hospital cardiac arrest [ 13 , 15 ]. Beyond its significance for neurological outcome and survival, a study of children with in- and out-of-hospital cardiac arrest provided evidence that elevated GDF-15 levels are associated with a cardiac origin of the arrest, increased vasopressor requirements, and the use of extracorporeal life support (ECLS) [ 15 ]. Given that GDF-15 is a known biomarker of heart failure and ischemic cardiac tissue [ 8 , 11 , 18 ], the present study provides novel evidence that GDF-15 is elevated in post-resuscitation shock and cardiovascular failure in adult OHCA patients. This key finding is comparable to data from the pediatric cardiac arrest study [ 15 ]. Analyses of the present study revealed that GDF-15 positively correlates with NT-proBNP in OHCA patients, is elevated in patients with impaired LVEF < 40%, in AMI-related OHCA, and in those requiring more intensive and prolonged vasopressor or inotropic support [Figure 2 ; Table 4 ]. Accordingly, patients with impaired lactate clearance—an indicator of sustained hypoperfusion in the post-arrest period [ 16 , 17 ]—had higher GDF-15 levels than those with normal lactate clearance. These findings, when considered alongside data from children with cardiac arrest, further support the hypothesis that GDF-15 is a significant marker for cardiovascular failure in the post-resuscitation period. In addition to post-resuscitation shock, elevated GDF-15 levels have been detected in several types of shock, including cardiogenic and septic shock, suggesting that elevated GDF-15 levels are associated with hypoperfusion and end-organ failure [ 28 , 29 ]. One study showed that GDF-15 trends could differentiate survivors from non-survivors. Higher GDF-15 levels at 24 hours, despite adequate treatment, indicate poor prognosis, while stable or decreasing levels suggest an early response to treatment in survivors [ 29 ]. However, the present study found that this potential to differentiate between survivors and non-survivors did not apply to OHCA patients (data not shown). GDF-15 is reported to protect ischemic heart tissue by controlling inflammation, inhibiting leukocyte adhesion and transmigration by interfering with nuclear factor kappa B, a master regulator of inflammatory cytokine expression, chemokine and integrin activation [ 7 , 30 ]. Furthermore, GDF-15 was found to have cardioprotective properties, with the capacity to limit ventricular cardiomyocyte apoptosis in response to a range of stimuli [ 8 , 31 ]. There is some controversy in the literature whether GDF-15 limits cardiovascular inflammation and myocardial dysfunction or is merely an indicator of tissue injury [ 32 ]. However, GDF-15 could serve as a biomarker regardless of whether it causes myocardial dysfunction or simply reflects tissue injury. This has led us to the hypothesis that GDF-15 may at least serve as a biomarker in ischemia/reperfusion conditions elevated in post-cardiac arrest syndrome or in post-resuscitation shock. Criteria for early identification of patients with refractory shock are limited. A registry found that prolonged low-flow time, higher admission lactate levels, and increased preclinical epinephrine use were linked to a higher risk of refractory post-resuscitation shock [ 33 ]. In another cohort of OHCA survivors, shockable rhythm and time to ROSC were associated with post-resuscitation shock occurrence [ 34 ]. The CREST score, validated to predict circulatory death after resuscitation, may improve triage of OHCA survivors at the point of care [ 35 ]. Biomarkers for early identification of patients at high risk of circulatory shock after cardiac arrest are limited and not yet used in routine practice. Biomarkers could offer early, quantitative data to predict post-resuscitation shock. This study suggests that GDF-15 may be valuable in triaging cardiac arrest patients, and its combination with clinical parameters could help better assess circulatory risks and develop personalized post-resuscitation care pathways. Limitations Limitations of our study include the small sample size and the overlapping GDF-15 ranges between groups, which may limit its use as a sole discriminatory biomarker for cardiovascular dysfunction. Data were collected several years ago, based on the 2015 ERC guidelines, with no significant changes in adult life support, though new guidelines were published in 2021. While there were advances in neurological prognosis assessment, we cannot exclude the possibility that OHCA patients would be treated differently today. The findings cannot be generalized to other cohorts due to the prospective, single-center design. As an observational study, we can only describe the association between GDF-15 and post-resuscitation shock, not causality. We did not measure GDF-15 levels before cardiac arrest, so pre-existing elevated levels due to comorbidities cannot be ruled out. Selecting an appropriate control group is challenging. In this study, CAD patients undergoing coronary angiography were used as controls, as ischemic heart disease is the most common cause of OHCA, and most resuscitated patients undergo coronary angiography. Conclusion This study builds on previous work showing that GDF-15 is a biomarker of adverse outcome following successful resuscitation from OHCA. Elevated serum GDF-15 levels in OHCA patients are associated with key determinants of impaired cardiovascular function (LVEF < 40%, increased NT-proBNP, increased & prolonged inotropic/vasopressor requirements, and reduced lactate clearance) as well as AMI as the underlying cause. Elevated GDF-15 levels may help identify patients at increased risk of hemodynamic instability. This study is hypothesis-generating, and future studies with larger cohorts should validate these findings and assess the utility of GDF-15 in predicting and monitoring post-arrest cardiovascular failure in the ICU. Abbreviations CAD Coronary artery disease CPC Cerebral Performance Categories CPR Cardiopulmonary resuscitation ELISA Enzyme-linked immunosorbent assay ERC European Resuscitation Council GDF-15 Growth differentiation factor-15 ICU Intensive care unit IQR interquartile range LVEF Left ventricular ejection fraction NT-proBNP N-terminal B-type natriuretic peptide OHCA Out-of-hospital cardiac arrest PCAS Post-cardiac arrest syndrome ROSC Return of spontaneous circulation Declarations Ethics approval and consent to participate The study protocol was approved by the Ethics Committee of the University of Freiburg (No 239/16) and is in compliance with the Declaration of Helsinki. The study protocol is available in the German Clinical Trials Register (DRKS00009684). Informed consent was obtained from resuscitated patients who survived to discharge with a favorable neurological outcome or from their next of kin after personal contact. Consent for publication Not applicable. Availability of data and materials The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request. Competing interests The authors declare that they have no competing interests. Funding This work was supported by funding to T.H. from the German Research Foundation (HE 7432/1-1). Authors' contributions KF was a major contributor to conception of the study, analyzed and interpreted the patient data and wrote the manuscript. TB acquired data, performed the blood sample examinations, analyzed and interpreted the patient data. MH acquired data, performed the blood sample examinations, analyzed and interpreted the patient data. DD was a major contributor to conception and substantively revised the manuscript. HJB was a major contributor to conception and substantively revised the manuscript. TH drafted the work and was a major contributor to conception of the study, analyzed and interpreted the patient data and wrote the manuscript. All authors read and approved the final manuscript. Acknowledgement The authors thank the staff of the Emergency Department and of the medical intensive care units of the University Hospital of Freiburg for their help in sample and data collection. References Gräsner JT, Wnent J, Herlitz J, Perkins GD, Lefering R, Tjelmeland I, et al. Survival after out-of-hospital cardiac arrest in Europe - Results of the EuReCa TWO study. Resuscitation 2020;148:218–26. https://doi : 10.1016/j.resuscitation.2019.12.042 Nolan JP, Sandroni C, Böttiger BW, Cariou A, Cronberg T, Friberg H, et al. European Resuscitation Council and European Society of Intensive Care Medicine Guidelines 2021: Post-resuscitation care. 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Emerg Med Australas. 2016;28:171–8. https://doi.org/10.1111/1742-6723.12560 . Masyuk M, Wernly B, Lichtenauer M, Franz M, Kabisch B, Muessig JM, et al. Prognostic relevance of serum lactate kinetics in critically ill patients. Intensive Care Med. 2019, 45, 55–61. https://doi:10.1007/s00134-018-5475-3 . Bettencourt P, Ferreira-Coimbra J, Rodrigues P, Marques P, Moreira H, Pinto MJ, et al. Towards a multi-marker prognostic strategy in acute heart failure: a role for GDF-15. ESC Heart Fail. 2018;5(6):1017–22. https://doi:10.1002/ehf2.12301 . Chalkias A and Xanthos T. Pathophysiology and pathogenesis of post-resuscitation myocardial stunning. Heart Fail Rev. 2012;17:117–28. https://doi.org/10.1007/s10741-011-9255-1 . Rueda F, Cediel G, García-García C, Aranyó J, González-Lopera M, Aranda Nevado MC, et al. Growth differentiation factor 15 and early prognosis after out-of-hospital cardiac arrest. Ann Intensive Care. 2019;9:119. https://doi.org/10.1186/s13613-019-0593-9 . Desch S, Freund A, Graf T, Fichtlscherer S, Haake H, Preusch M, et al. Immediate unselected coronary angiography versus delayed triage in survivors of out-of-hospital cardiac arrest without ST-segment elevation: Design and rationale of the TOMAHAWK trial. Am Heart J. 2019;209:20–8. https://doi.org/10.1016/j.ahj.2018.12.005 . Xiong Y, Walker K, Min X, Hale C, Tran T, Komorowski R, et al. Long-acting MIC-1/GDF15 molecules to treat obesity: Evidence from mice to monkeys. Sci Transl Med 2017;9(412):8732. https://doi:10.1126/scitranslmed.aan8732 . Zhang M, Pan K, Liu Q, Zhou X, Jiang T, Li Y. Growth differentiation factor 15 may protect the myocardium from no-reflow by inhibiting the inflammatory-like response that predominantly involves neutrophil infiltration. Mol Med Rep. 2016;13:623–32. https://doi.org/10.3892/mmr.2015.4573 . Kern KB, Berg RA, Hilwig RW, Larson DF, Gaballa MA. Myocardial cytokine IL-8 and nitric oxide synthase activity during and after resuscitation: Preliminary observations in regards to post-resuscitation myocardial dysfunction. Resuscitation. 2008;77:401–9. https://doi.org/10.1016/j.resuscitation.2008.01.026 . Niemann JT, Rosborough JP, Youngquist S, Shah AP, Lewis RJ, Phan QT, et al. Cardiac Function and the Proinflammatory Cytokine Response After Recovery From Cardiac Arrest in Swine. J Interferon Cytokine Res. 2009;29:749–58. https://doi.org/10.1089/jir.2009.0035 Zimmers TA, Jin X, Hsiao EC, McGrath SA, Esquela AF, Koniaris LG. Growth differentiation factor-15/macrophage inhibitory cytokine-1 induction after kidney and lung injury. Shock. 2005;23:543–8. https://doi.org/10.1097/01.shk.0000163393.55350.70 Zimmers TA, Jin X, Hsiao EC, Perez EA, Pierce RH, Chavin KD, et al. Growth differentiation factor-15: induction in liver injury through p53 and tumor necrosis factor-independent mechanisms. J Surg Res. 2006;130:45–51. https://doi.org/10.1016/j.jss.2005.07.036 . Fuernau G, Poenisch C, Eitel I, de Waha S, Desch S, Schuler G, et al. Growth-differentiation factor 15 and osteoprotegerin in acute myocardial infarction complicated by cardiogenic shock: a biomarker substudy of the IABP-SHOCK II-trial. Eur J Heart Fail 2014;16(8):880–7. https://doi.org/10.1002/ejhf.117 . Hongisto M, Kataja A, Tarvasmäki T, Holopainen A, Javanainen T, Jurkko R, et al. Levels of Growth Differentiation Factor 15 and Early Mortality Risk Stratification in Cardiogenic Shock. J Card Fail 2019;25(11):894–901. https://doi.org/10.1016/j.cardfail.2019.07.003 . Zhang Y, Moszczynski LA, Liu Q, Jiang J, Zhao D, Quan D, et al. Over-expression of growth differentiation factor 15 (GDF15) preventing cold ischemia reperfusion (I/R) injury in heart transplantation through Foxo3a signaling. Oncotarget. 2017;8:36531–44. https://doi.org/10.18632/oncotarget.16607 . Heger J, Schiegnitz E, von Waldthausen D, Anwar MM, Piper HM, Euler G. Growth differentiation factor 15 acts anti-apoptotic and pro-hypertrophic in adult cardiomyocytes. J Cell Physiol. 2010;224:120–6. https://doi.org/10.1002/jcp.22102 . Ikeda Y, Kumagai H, Motozawa Y, Suzuki J. Growth Differentiation Factor 15 (GDF15) as a Reliable Biomarker for Cardiovascular Risk Assessment. Int Heart J. 2016;57:1–2. https://doi.org/10.1002/ehf2.12301 . Binois Y, Renaudier M, Dumas F, Youssfi Y, Beganton F, Jost D, et al. Sudden-Death-Expertise-Center investigators Factors associated with circulatory death after out-of-hospital cardiac arrest: a population-based cluster analysis. Ann Intensive Care. 2023;13:49. https://doi.org/10.1186/s13613-023-01143-8 . Lemiale V, Dumas F, Mongardon N, Giovanetti O, Charpentier J, Chiche JD, et al. Intensive care unit mortality after cardiac arrest: the relative contribution of shock and brain injury in a large cohort. Intensive Care Med. 2013;39:1972–80. https://doi.org/10.1007/s00134-013-3043-4 . Bascom KE, Dziodzio J, Vasaiwala S, Mooney M, Patel N, McPherson J, et al. Derivation and Validation of the CREST Model for Very Early Prediction of Circulatory Etiology Death in Patients Without ST-Segment-Elevation Myocardial Infarction After Cardiac Arrest. Circulation. 2018;137:273–82. https://doi.org/10.1161/CIRCULATIONAHA.116.024332 . Tables Table 1: Baseline characteristics of study patients † refers to all OHCA patients who survived > 72 h; Statistics were calculated by Mann-Whitney U test, p-values refer to the difference between the two groups. A p-value of less than 0.05 is considered significant. Abbreviations: AMI acute myocardial infarction; CAD coronary artery disease; CHF chronic heart failure; COPD chronic obstructive pulmonary disease; CPC cerebral performance categories; CPR cardiopulmonary resuscitation; ECLS extracorporeal life support; ICU intensive care unit; IQR interquartile range; LVEF left ventricular ejection fraction; OHCA out of hospital cardiac arrest; PEA pulseless electrical activity Table 2 Association of serum GDF-15 concentrations with LVEF The serum concentrations of GDF-15 in patients with marked reduction of LVEF (LVEF<40%; n=21 on day 0) were compared to those with mildly reduced or preserved LVEF (LVEF ≥40%; n=21 on day 0) at the following time points: ICU admission (day 0), day 1, day 2, day 3 and day 5 after OHCA. Statistical analysis was conducted using the Wilcoxon signed rank test, with p-values denoting the statistical significance of the observed differences between the two groups. A p-value of less than 0.05 is considered to be significant. Abbreviations: GDF-15 growth differentiation factor-15; LVEF left ventricular ejection fraction. Table 3: Association of serum GDF-15 concentrations with AMI- related OHCA The serum concentrations of GDF-15 in patients presenting with acute myocardial infarction (AMI) as the cause of OHCA (n = 17 on day 0) were compared with those in patients without AMI (n = 25 on day 0) at admission, on days 1, 2, 3 and day 5 after OHCA. Statistical analysis was conducted using the Wilcoxon signed rank test, with p-values denoting the observed difference between the two groups. A p-value of less than 0.05 is considered to be significant. Abbreviations: GDF-15 growth differentiation factor-15; AMI: Acute myocardial infarction; OHCA: Out-of-hospital cardiac arrest. Table 4: Association between serum GDF-15 concentrations and duration of inotropic/ vasopressor therapy Serum concentrations of GDF-15 were compared on day 0, day 1, day 2, day 3, and day 5 in patients requiring prolonged inotropic and/or vasopressor treatment for more than 72 hours, as opposed to those treated for less than 72 hours (see Table 5B). Statistical analysis was conducted using the Wilcoxon signed rank test. The p-value indicated in Table 5B pertains to the observed discrepancy between the two cohorts. A p-value of less than 0.05 is to be considered significant. Abbreviations: GDF-15 growth differentiation factor-15 Table 5: Association of serum GDF-15 concentrations with lactate clearance Serum concentrations of GDF-15 in patients with impaired lactate clearance compared to those with an appropriate lactate clearance at ICU admission (day 0, n=42), day 1 (n=35), day 2 (n=31), day 3 (n=27) up to day 5 (n=24) after OHCA. Statistical analysis was conducted using the Wilcoxon signed rank test. P-values refer to the difference between the two groups. A p-value of less than 0.05 is considered to be significant. Abbreviations: GDF-15 growth differentiation factor-15 Additional Declarations No competing interests reported. Supplementary Files SupplementMaterialandmethods20052025.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6810991","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":470043802,"identity":"b0519451-3650-43b8-bea1-5f07a6b89441","order_by":0,"name":"Katrin Fink","email":"data:image/png;base64,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","orcid":"","institution":"Department of Emergency Medicine, University of Freiburg, Faculty of Medicine, University Hospital of Freiburg","correspondingAuthor":true,"prefix":"","firstName":"Katrin","middleName":"","lastName":"Fink","suffix":""},{"id":470043803,"identity":"3726cf64-7a4c-42d9-82e0-a61e3e816615","order_by":1,"name":"Tina Braun","email":"","orcid":"","institution":"Department of Cardiology and Angiology I - Heart Center Freiburg University, Faculty of Medicine, University of Freiburg","correspondingAuthor":false,"prefix":"","firstName":"Tina","middleName":"","lastName":"Braun","suffix":""},{"id":470043804,"identity":"141a876e-7a1b-49ba-8e7a-0679a966e47c","order_by":2,"name":"Marius Herkel","email":"","orcid":"","institution":"Department of Cardiology and Angiology I - Heart Center Freiburg University, Faculty of Medicine, University of Freiburg","correspondingAuthor":false,"prefix":"","firstName":"Marius","middleName":"","lastName":"Herkel","suffix":""},{"id":470043805,"identity":"89b9af58-3493-434e-9e43-f914a0259ff2","order_by":3,"name":"Daniel Duerschmied","email":"","orcid":"","institution":"Department of Cardiology, Angiology, Hemostasis, and Medical Intensive Care, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg","correspondingAuthor":false,"prefix":"","firstName":"Daniel","middleName":"","lastName":"Duerschmied","suffix":""},{"id":470043806,"identity":"fb91f0e7-100d-4686-ad66-84dc10c1028e","order_by":4,"name":"Hans-Jörg Busch","email":"","orcid":"","institution":"Department of Emergency Medicine, University of Freiburg, Faculty of Medicine, University Hospital of Freiburg","correspondingAuthor":false,"prefix":"","firstName":"Hans-Jörg","middleName":"","lastName":"Busch","suffix":""},{"id":470043807,"identity":"6c4fb8c3-ba52-4a82-96e6-2514c8a324b9","order_by":5,"name":"Thomas Helbing","email":"","orcid":"","institution":"Department of Cardiology, Angiology, Hemostasis, and Medical Intensive Care, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg","correspondingAuthor":false,"prefix":"","firstName":"Thomas","middleName":"","lastName":"Helbing","suffix":""}],"badges":[],"createdAt":"2025-06-03 11:53:39","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6810991/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6810991/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":84530238,"identity":"69939881-e447-46b0-b1cc-0b0134723110","added_by":"auto","created_at":"2025-06-13 05:58:58","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":113521,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cu\u003eTime course of serum GDF-15 concentrations after OHCA\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eTime course of serum concentrations of GDF-15 in OHCA in post-resuscitation period from ICU admission to day 5 \u0026nbsp;after OHCA (black circles) and controls with CAD (white squares).\u003c/p\u003e\n\u003cp\u003eThe table below shows serum GDF15 levels in OHCA patients on day 0 (n=42), day 1 (n=35), day 2 (n=31), day 3 (n=27) and day 5 (n=24) after resuscitation and in CAD patients (n=42). The GDF-15 values (pg/mL) are presented as median (IQR).\u003c/p\u003e\n\u003cp\u003eStatistics were calculated by Mann-Whitney U test. A p-value of less than 0.05 is considered to be significant. The comparison of GDF-15 concentrations on different days within the OHCA group was not significant.\u003c/p\u003e\n\u003cp\u003e** = p \u0026lt; 0.01 vs. CAD controls; *** = p \u0026lt; 0.001 vs. CAD controls\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: GDF-15 growth differentiation factor-15; CAD coronary artery disease; CPR cardiopulmonary resuscitation; OHCA Out-of-hospital cardiac arrest.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6810991/v1/1608bece652800f0e9530df0.png"},{"id":84530239,"identity":"d3695847-de19-4e8d-bf07-59bdc959288b","added_by":"auto","created_at":"2025-06-13 05:58:58","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":124141,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cu\u003eAssociation between serum GDF-15 after OHCA concentrations and number of inotropics/ vasopressors\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eSerum concentrations of GDF-15 in OHCA patients requiring one (white circles, n=26 on day 0), two (grey circles, n=9 on day 0), or three (black circles, n=7 on day 0) different inotropic and/or vasopressor agents in the post-resuscitation course on day 0, 1, 2, 3 and day 5 after OHCA.\u003c/p\u003e\n\u003cp\u003eThe table below shows serum GDF15 levels in OHCA patients in the three subgroups requiring one, two or three different inotropic and/or vasopressor agents in the post-resuscitation course on day 0, 1, 2, 3 and day 5. The GDF-15 values (pg/mL) are presented as median (IQR).\u003c/p\u003e\n\u003cp\u003eStatistics were calculated by Wilcoxon signed rank test. A p-value of less than 0.05 is considered to be significant.\u003c/p\u003e\n\u003cp\u003e* = p \u0026lt; 0.05: 3 inotropics/ vasopressors vs. 1 inotropic/ vasopressor\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: GDF-15 growth differentiation factor-15; OHCA Out-of-hospital cardiac arrest.\u003c/em\u003e\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6810991/v1/5b7dc968a2c3d837c01ea3d1.png"},{"id":85159435,"identity":"43d269ab-0b69-4014-b051-68eb16ce8420","added_by":"auto","created_at":"2025-06-23 00:46:32","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":956315,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6810991/v1/e7c3612c-212c-4f9f-8503-535d3196d0dd.pdf"},{"id":84530583,"identity":"bac5d331-f23f-4fdc-ac72-47008957b765","added_by":"auto","created_at":"2025-06-13 06:06:58","extension":"docx","order_by":5,"title":"","display":"","copyAsset":false,"role":"supplement","size":20502,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementMaterialandmethods20052025.docx","url":"https://assets-eu.researchsquare.com/files/rs-6810991/v1/d66cb84dc121af94fbf09b78.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Time Course of Growth Differentiation Factor-15 levels in Post-Resuscitation-Shock after Out-of-hospital Cardiac Arrest","fulltext":[{"header":"Introduction","content":"\u003cp\u003eOut-of-hospital cardiac arrest (OHCA) is a common cause of death in Europe and Western societies [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Despite decades of research, the prognosis remains poor, with less than 10% surviving to hospital discharge [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. Approximately 70% of OHCA patients admitted to hospital die in the intensive care unit (ICU) due to hypoxic-ischemic brain injury or post-resuscitation shock [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. The complex pathophysiology of post-resuscitation shock includes vasoplegia and myocardial dysfunction due to systemic ischemia/reperfusion injury and sepsis-like syndrome, both features of post-cardiac arrest syndrome (PCAS) [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Post-resuscitation shock occurs in up to 60% of OHCA patients [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e], contributes to multi-organ failure and poor prognosis [\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e] and requires early and aggressive management. Short-term mechanical circulatory support should be considered in highly selected patients with progressive shock refractory to therapy including fluids, vasopressors, inotropes and coronary reperfusion [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eGrowth differentiation factor-15 (GDF-15), also known as macrophage inhibitory cytokine-1, is a member of the transforming growth factor-beta superfamily [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. The protein is expressed in a wide range of cell types, acts as a pleiotropic cytokine and is involved in the stress response program following cellular injury [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. GDF-15 is upregulated in the ischemic heart disease, and inhibited recruitment of leukocytes by direct interference with chemokine signaling and integrin activation [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. Elevated levels of GDF-15 protein have been observed in disease states such as tissue hypoxia, inflammation, acute injury and oxidative stress [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e]. GDF-15 levels have been independently associated with mortality in patients presenting with heart failure [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], stable coronary artery disease [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e], or acute coronary syndrome [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. In adults, elevated GDF-15 levels upon admission to ICU reflected the extent of hypoxic brain injury and predicted poor survival and neurological outcome following OHCA [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. In infants, GDF-15 was associated with the cardiac etiology and cardiovascular failure in patients after survived OHCA [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. To date, the role of GDF-15 in the assessment of cardiovascular function in adults following initial OHCA survival remains unclear. The aim of the current study was to investigate serial GDF-15 levels in the post-resuscitation period in adults and to determine a relationship between GDF-15 and clinical variables of cardiovascular function and hemodynamic instability in OHCA survivors.\u003c/p\u003e"},{"header":"Material and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy design\u003c/h2\u003e \u003cp\u003eThis is a prospective, single-center study conducted at the University Hospital of Freiburg, Germany. The study was approved by the Ethics Committee of the University of Freiburg (No.239/16) and is in compliance with the Declaration of Helsinki. Adult patients over 18 years who achieved ROSC after at least five minutes of CPR were eligible for inclusion. Among the screened patients, those with OHCA who reached the hospital, achieved ROSC, and had complete (pre)-clinical parameters and blood samples available at all required time points (days 0, 1, 2, 3, and 5 after ROSC) were included. Resuscitated patients after trauma, pregnant patients and patients with end-stage renal disease (glomerular filtration rate\u0026thinsp;\u0026lt;\u0026thinsp;15ml/min/1.73m\u003csup\u003e2\u003c/sup\u003e) requiring dialysis were excluded. A total of 42 OHCA patients were enrolled in the study from May 2016 to March 2018, with informed consent. Informed consent was obtained from resuscitated patients who survived to discharge with a favorable neurological outcome or from their next of kin after personal contact. Patients were admitted to the catheterization laboratory, emergency department, or medical intensive care unit. Resuscitation and post-cardiac arrest care were performed according to the European Resuscitation Council (ERC) guidelines for resuscitation [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe results of the out-of-hospital cardiac arrest (OHCA) patients were compared with those of 42 inpatients with known coronary artery disease (CAD) who were admitted with chest pain to hospital for coronary angiography. Patients with CAD and preserved LVEF were selected as controls because underlying CAD is the most prevalent cause of OHCA, and assessment requires coronary angiography. This approach serves to minimize the influence of confounding variables, including but not limited to, demographic characteristics, comorbidity, and procedural nuances, on the observed outcomes.\u003c/p\u003e \u003c/div\u003e\n\u003ch3\u003eOutcomes\u003c/h3\u003e\n\u003cp\u003eThe investigation examined the relationship between GDF-15 and cardiac function subsequent to OHCA. Associations of serum GDF-15 levels on day 0, day 1, day 2, day 3 and day 5 were analyzed with the following outcomes: (1) heart failure biomarker NT-proBNP on the same day, (2) left ventricular ejection fraction (LVEF) by transthoracic echocardiography, (3) occurrence of AMI as the underlying cause of OHCA, (4) hemodynamic instability reflected by the need for more than two catecholamine (either vasopressor or inotropic) or prolonged vasopressor or inotropic therapy beyond 72 hours, (5) impaired lactate clearance in the post-resuscitation period, a marker of ongoing hypoperfusion in shock.\u003c/p\u003e \u003cp\u003ePlease find the further descriptions of study procedures, materials and methods in the Supplement [\u003cem\u003eSupplementary\u003c/em\u003e Material].\u003c/p\u003e\n\u003ch3\u003eData handling and statistical analysis\u003c/h3\u003e\n\u003cp\u003eClinical and laboratory data were extracted from the patient data management system of the ICU`s computerized patient report assistant (COPRA system GmbH). The extracted patient data were stored in pseudonymized form. Only authorized study personnel had access to the extracted data. Data were analyzed using SPSS Statistics Software 28 (IBM). Graphs were generated using GraphPad Prism 7 (GraphPad software).\u003c/p\u003e \u003cp\u003eAs the data were not normally distributed, all variables are presented as median (interquartile range, IQR). Wilcoxon signed rank test was used for dependent samples. For independent samples, the Mann-Whitney U test was used for comparison. Correlations between selected variables were estimated using the Spearman rho test and the corresponding R\u003csup\u003e2\u003c/sup\u003e value was calculated. Statistical significance was defined as a p-value of less than 0.05.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec7\" class=\"Section2\"\u003e\n \u003ch2\u003eBaseline characteristics\u003c/h2\u003e\n \u003cp\u003eThe entire study cohort consisted of 42 adult patients with OHCA and 42 CAD controls. Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e displays the demographic and clinical characteristics of the study population. OHCA patients were predominantly male (71.4% male), with a median age of 64 years (interquartile range [IQR]: 52\u0026ndash;78). 69% of CAD patients were male, with a median age of 69 years (63\u0026ndash;77). A shockable rhythm was registered in 19 OHCA patients (45.2%) as the first rhythm [Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e]. In the OHCA cohort, the median resuscitation time was 18.5 minutes (range: 10\u0026ndash;25 minutes). Three OHCA patients had no or non-sustained ROSC, and a further three OHCA patients were in refractory post-resuscitation shock after ROSC, so extracorporeal life support (ECLS) was implanted. Fifteen out of 42 OHCA patients (35.7%) survived to hospital discharge. Of these survivors, 10 OHCA patients (23.8%) were discharged with a favorable neurological outcome (CPC 1\u0026ndash;2) [Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e]. Twenty-seven OHCA patients (64.3%) did not survive: 16 non-survivors died as a result of hypoxic-ischemic encephalopathy, 7 died from cardiovascular failure, and a further four expired due to other factors such as sepsis [Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\n \u003ctable id=\"Tab1\" border=\"1\"\u003e\u003c/table\u003e\n \u003c/div\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\n \u003ch2\u003eRegulation of serum GDF-15 levels after OHCA\u003c/h2\u003e\n \u003cp\u003eGDF-15 levels were measured on admission (day 0) and on days 1\u0026ndash;3 and day 5 after resuscitation [Figure \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e]. GDF-15 serum levels in resuscitated patients were significantly increased at all time points compared to the control group with stable CAD (p\u0026thinsp;\u0026lt;\u0026thinsp;0.01). In OHCA patients, the lowest serum GDF-15 levels were observed on admission, and these increased on day 1 and remained almost at this level until day 5 [Figure \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003ch3\u003eAssociation of GDF-15 levels with NT-proBNP levels after OHCA\u003c/h3\u003e\n\u003cp\u003eSerum NT-proBNP levels were significantly elevated at all time points in the post-resuscitation period (reference range\u0026thinsp;\u0026lt;\u0026thinsp;125 pg/mL). Serum NT-proBNP levels were elevated after CPR and constantly rising in the post-resuscitation course (admission: 839.0 (371-3199.5) pg/mL; day 1: 1544.0 (662.5\u0026ndash;5178) pg/mL; day 2: 1744.0 (604\u0026ndash;4702) pg/mL; day 3: 3054.0 (1044-4915.5) pg/mL and day 5 (3111.0 (1222\u0026ndash;7348) pg/mL).\u003c/p\u003e\n\u003cp\u003eGDF-15 levels correlated positively with NT-proBNP levels on day 1, day 3 and day 5 after CPR (admission: Spearman\u0026rsquo;s rho\u0026thinsp;=\u0026thinsp;0.43/ p\u0026thinsp;=\u0026thinsp;0.11/ ns; day 1: Spearman\u0026rsquo;s rho\u0026thinsp;=\u0026thinsp;0.45/ p\u0026thinsp;\u0026lt;\u0026thinsp;0.05; day 2: Spearman\u0026rsquo;s rho\u0026thinsp;=\u0026thinsp;0.29/ p\u0026thinsp;=\u0026thinsp;0.38/ ns; day 3: Spearman\u0026rsquo;s rho\u0026thinsp;=\u0026thinsp;0.62/ p\u0026thinsp;\u0026lt;\u0026thinsp;0.05; day 5: Spearman\u0026rsquo;s rho\u0026thinsp;=\u0026thinsp;0.53/ p\u0026thinsp;\u0026lt;\u0026thinsp;0.01).\u003c/p\u003e\n\u003ch3\u003eAssociation of serum GDF-15 levels with impaired LVEF\u003c/h3\u003e\n\u003cp\u003eBecause GDF-15 was associated with NT-proBNP levels in OHCA patients, we examined whether GDF-15 was associated with LVEF. 21 OHCA patients (50%) exhibit a LVEF\u0026thinsp;\u0026ge;\u0026thinsp;40% [Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e]. In comparison to patients exhibiting LVEF\u0026thinsp;\u0026ge;\u0026thinsp;40%, serum GDF-15 levels were significantly elevated during the entire post-resuscitation period (from day 0 to day 5) in OHCA patients with LVEF\u0026thinsp;\u0026lt;\u0026thinsp;40% [Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e\n\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\n \u003ch2\u003e\u003cem\u003eAssociation of serum GDF-15 levels with AMI-related to OHCA\u003c/em\u003e\u003c/h2\u003e\n \u003cp\u003eWhen we examined GDF-15 levels by arrest cause, 17 patients (40%) suffered an OHCA due to an AMI. In AMI-related OHCA patients GDF-15 levels were significantly higher on day 1, day 2 and day 3 compared to patients being resuscitated for other reasons [Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\n \u003ch2\u003eAssociation of serum GDF-15 levels with hemodynamic instability after OHCA\u003c/h2\u003e\n \u003cp\u003eBecause GDF-15 was elevated in OHCA patients with AMI, reduced LVEF, and increased NT-proBNP levels, we examined whether GDF-15 was associated with hemodynamic instability and vasoactive and inotropic infusion requirements in the post-resuscitation period [Figure \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e]. None of the OHCA patients\u0026apos; therapies were free of inotropes and vasopressors. Twenty-six OHCA patients (61.9%) received one, and nine patients (21.4%) received two drugs for inotropic or vasopressor support. Seven OHCA patients (16.7%) with severe hemodynamic instability, as reflected by the need for three different inotropes and vasopressors, had significantly higher levels of GDF-15 on day 0, day 3, and day 5 than those treated with one inotrope and/or vasopressor during their ICU stay [Figure \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e]. A similar trend was observed on day 2, but it did not reach statistical significance (p\u0026thinsp;=\u0026thinsp;0.06) [Figure \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n \u003cp\u003eNext, we examined whether GDF-15 was associated with the duration of inotropic and vasopressor therapy. Twenty-one OHCA patients (50%) with prolonged inotropic and/or vasopressor treatment for a period exceeding 72 hours exhibited significantly elevated GDF-15 levels on days 2 and 3 following OHCA, compared to patients requiring inotropic and/or vasopressor treatment for a duration of less than 72 hours (n\u0026thinsp;=\u0026thinsp;13/31%) [Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e]. It is noteworthy that the analysis excluded eight patients (29%) who died within the first 72 hours [Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\n \u003ch2\u003eAssociation of serum GDF-15 levels with blood lactate clearance after OHCA\u003c/h2\u003e\n \u003cp\u003eIn the post-resuscitation period, persistently high lactate levels and impaired lactate clearance serve as markers of ongoing hypoperfusion in shock and are independent predictors of survival [\u003cspan class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan class=\"CitationRef\"\u003e17\u003c/span\u003e]. The median blood lactate level at admission \u0026ndash; a surrogate marker for the duration of no-flow and low-flow status after OHCA and CPR \u0026ndash; was 7.1 (5.5\u0026ndash;9.7) mmol/L on admission and decreased over time [Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e]. The subgroup of 30 patients (71%) with an appropriate lactate clearance of \u0026ge;\u0026thinsp;1.5 mmol/L within the first 24 hours showed significantly lower GDF-15 levels on admission compared to those with an impaired lactate clearance (n\u0026thinsp;=\u0026thinsp;12/29%), reflecting ongoing shock [Table \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e\n\u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eThe present study demonstrates that GDF-15 is a biomarker of impaired cardiovascular function in successfully resuscitated adult OHCA patients. The main findings are: (1) In OHCA, patients, elevated GDF-15 levels remains constantly elevated from admission to day 5 after resuscitation [Figure \u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e]; (2) Elevated GDF-15 levels were associated with increased levels of heart failure biomarker NT-proBNP, reduced LVEF\u0026thinsp;\u0026lt;\u0026thinsp;40%, and OHCA due to AMI [Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, \u003cspan refid=\"Tab3\" class=\"InternalRef\"\u003e3\u003c/span\u003e]; (3) OHCA patients with increased (\u0026ge;\u0026thinsp;3 drugs) and prolonged (\u0026ge;\u0026thinsp;72 hours) inotropic and/or vasopressor support, as well as patients with signs of hypoperfusion and end-organ ischemia due to impaired lactate clearance, had higher GDF-15 levels [Figure \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e; Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e]. These findings were already detectable on hospital admission, suggesting that GDF-15 may be an early marker of post-resuscitation shock at admission. The post-resuscitation shock is a major complication in the post-resuscitation period and is estimated to be responsible for one third of in-hospital deaths, with over 90% occurring in the first three days after ROSC [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e, \u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e]. One strategy to improve outcomes is early identification of high-risk patients at admission, who are at increased risk of post-cardiac arrest shock and may benefit from advanced therapies. Further clinical trials are needed to assess whether GDF-15 could help identify patients at the onset of post-resuscitation shock at an early stage.\u003c/p\u003e \u003cp\u003eFour studies have shown an increase in GDF-15 levels on hospital admission following resuscitation [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Only one investigated GDF-15 levels beyond day 1 over time during intensive care and showed a decline in elevated GDF-15 levels in children from admission to 72 hours post-ROSC [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. The decline of GDF-15 in resuscitated children contrasts with the time course of GDF-15 levels observed in adult OHCA patients [Figure \u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e]. The present study provides novel evidence of the temporal profile of GDF-15 in resuscitated adults following OHCA and suggests that the triggers of GDF-15 expression may differ in both studies over time, possibly due to the different causes of cardiac arrest in children and adults [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. The sustained elevation in GDF-15 levels observed in adult OHCA patients, with a half-life of 3 hours, is most likely the result of continuously increased GDF-15 expression [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e]. This hypothesis is supported by an animal model in which myocardial GDF-15 expression increases for seven days after ischemia/reperfusion injury in the rat heart [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. The sustained increase in circulating GDF-15 levels in OHCA patients may be explained by several triggers: First, ischemia/reperfusion injury after survived OHCA promotes oxidative stress, which is known to upregulate GDF-15 gene expression [\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e]. Second, following ROSC, there is a rapid and substantial increase in pro-inflammatory cytokines. Systemic inflammation, a pivotal component of the PCAS, has been reported to promote GDF-15 expression [\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e, \u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e]. Third, end-organ damage, which occurs in PCAS, also triggers GDF-15 expression, as recently shown in kidney, lung and liver injury [\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e, \u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e]. Taken together, these factors may explain persistent high levels of GDF-15 seen in patients after OHCA in the present study.\u003c/p\u003e \u003cp\u003eThe four GDF-15 cardiac arrest studies vary in patient cohorts and outcome parameters [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Two studies focused on adult cardiac arrest patients: one analyzed six-month survival and neurological outcome in both in- and out-of-hospital cardiac arrest patients [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e], while the other focused solely on OHCA patients' neurological outcome after six months [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. Both studies suggest that GDF-15 is a predictor of unfavorable neurological outcomes and mortality in resuscitated adults [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e, \u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e]. The other two studies focused on pediatric in- and out-of-hospital cardiac arrest [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e, \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Beyond its significance for neurological outcome and survival, a study of children with in- and out-of-hospital cardiac arrest provided evidence that elevated GDF-15 levels are associated with a cardiac origin of the arrest, increased vasopressor requirements, and the use of extracorporeal life support (ECLS) [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Given that GDF-15 is a known biomarker of heart failure and ischemic cardiac tissue [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e, \u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e], the present study provides novel evidence that GDF-15 is elevated in post-resuscitation shock and cardiovascular failure in adult OHCA patients. This key finding is comparable to data from the pediatric cardiac arrest study [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]. Analyses of the present study revealed that GDF-15 positively correlates with NT-proBNP in OHCA patients, is elevated in patients with impaired LVEF\u0026thinsp;\u0026lt;\u0026thinsp;40%, in AMI-related OHCA, and in those requiring more intensive and prolonged vasopressor or inotropic support [Figure \u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e; Table\u0026nbsp;\u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e]. Accordingly, patients with impaired lactate clearance\u0026mdash;an indicator of sustained hypoperfusion in the post-arrest period [\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e]\u0026mdash;had higher GDF-15 levels than those with normal lactate clearance. These findings, when considered alongside data from children with cardiac arrest, further support the hypothesis that GDF-15 is a significant marker for cardiovascular failure in the post-resuscitation period.\u003c/p\u003e \u003cp\u003eIn addition to post-resuscitation shock, elevated GDF-15 levels have been detected in several types of shock, including cardiogenic and septic shock, suggesting that elevated GDF-15 levels are associated with hypoperfusion and end-organ failure [\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e, \u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. One study showed that GDF-15 trends could differentiate survivors from non-survivors. Higher GDF-15 levels at 24 hours, despite adequate treatment, indicate poor prognosis, while stable or decreasing levels suggest an early response to treatment in survivors [\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e]. However, the present study found that this potential to differentiate between survivors and non-survivors did not apply to OHCA patients (data not shown).\u003c/p\u003e \u003cp\u003eGDF-15 is reported to protect ischemic heart tissue by controlling inflammation, inhibiting leukocyte adhesion and transmigration by interfering with nuclear factor kappa B, a master regulator of inflammatory cytokine expression, chemokine and integrin activation [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e, \u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e]. Furthermore, GDF-15 was found to have cardioprotective properties, with the capacity to limit ventricular cardiomyocyte apoptosis in response to a range of stimuli [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e, \u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e]. There is some controversy in the literature whether GDF-15 limits cardiovascular inflammation and myocardial dysfunction or is merely an indicator of tissue injury [\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e]. However, GDF-15 could serve as a biomarker regardless of whether it causes myocardial dysfunction or simply reflects tissue injury. This has led us to the hypothesis that GDF-15 may at least serve as a biomarker in ischemia/reperfusion conditions elevated in post-cardiac arrest syndrome or in post-resuscitation shock.\u003c/p\u003e \u003cp\u003eCriteria for early identification of patients with refractory shock are limited. A registry found that prolonged low-flow time, higher admission lactate levels, and increased preclinical epinephrine use were linked to a higher risk of refractory post-resuscitation shock [\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e]. In another cohort of OHCA survivors, shockable rhythm and time to ROSC were associated with post-resuscitation shock occurrence [\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e]. The CREST score, validated to predict circulatory death after resuscitation, may improve triage of OHCA survivors at the point of care [\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e]. Biomarkers for early identification of patients at high risk of circulatory shock after cardiac arrest are limited and not yet used in routine practice. Biomarkers could offer early, quantitative data to predict post-resuscitation shock. This study suggests that GDF-15 may be valuable in triaging cardiac arrest patients, and its combination with clinical parameters could help better assess circulatory risks and develop personalized post-resuscitation care pathways.\u003c/p\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003eLimitations\u003c/h2\u003e \u003cp\u003eLimitations of our study include the small sample size and the overlapping GDF-15 ranges between groups, which may limit its use as a sole discriminatory biomarker for cardiovascular dysfunction. Data were collected several years ago, based on the 2015 ERC guidelines, with no significant changes in adult life support, though new guidelines were published in 2021. While there were advances in neurological prognosis assessment, we cannot exclude the possibility that OHCA patients would be treated differently today. The findings cannot be generalized to other cohorts due to the prospective, single-center design. As an observational study, we can only describe the association between GDF-15 and post-resuscitation shock, not causality. We did not measure GDF-15 levels before cardiac arrest, so pre-existing elevated levels due to comorbidities cannot be ruled out. Selecting an appropriate control group is challenging. In this study, CAD patients undergoing coronary angiography were used as controls, as ischemic heart disease is the most common cause of OHCA, and most resuscitated patients undergo coronary angiography.\u003c/p\u003e \u003c/div\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study builds on previous work showing that GDF-15 is a biomarker of adverse outcome following successful resuscitation from OHCA. Elevated serum GDF-15 levels in OHCA patients are associated with key determinants of impaired cardiovascular function (LVEF\u0026thinsp;\u0026lt;\u0026thinsp;40%, increased NT-proBNP, increased \u0026amp; prolonged inotropic/vasopressor requirements, and reduced lactate clearance) as well as AMI as the underlying cause. Elevated GDF-15 levels may help identify patients at increased risk of hemodynamic instability. This study is hypothesis-generating, and future studies with larger cohorts should validate these findings and assess the utility of GDF-15 in predicting and monitoring post-arrest cardiovascular failure in the ICU.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCAD\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCoronary artery disease\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCPC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCerebral Performance Categories\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eCPR\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eCardiopulmonary resuscitation\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eELISA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eEnzyme-linked immunosorbent assay\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eERC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eEuropean Resuscitation Council\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eGDF-15\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eGrowth differentiation factor-15\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eICU\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eIntensive care unit\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eIQR\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003einterquartile range\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eLVEF\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eLeft ventricular ejection fraction\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eNT-proBNP\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eN-terminal B-type natriuretic peptide\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eOHCA\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eOut-of-hospital cardiac arrest\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003ePCAS\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003ePost-cardiac arrest syndrome\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003cdiv class=\"DefinitionListEntry\"\u003e \u003cdiv class=\"Term\"\u003eROSC\u003c/div\u003e \u003cdiv class=\"Description\"\u003e \u003cp\u003eReturn of spontaneous circulation\u003c/p\u003e \u003c/div\u003e \u003c/div\u003e \u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cu\u003eEthics approval and consent to participate\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe study protocol was approved by the Ethics Committee of the University of Freiburg (No 239/16) and is in compliance with the Declaration of Helsinki. The study protocol is available in the German Clinical Trials Register (DRKS00009684). Informed consent was obtained from resuscitated patients who survived to discharge with a favorable neurological outcome or from their next of kin after personal contact.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eConsent for publication\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eAvailability of data and materials\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eCompeting interests\u0026nbsp;\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eFunding\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThis work was supported by funding to T.H. from the German Research Foundation (HE 7432/1-1).\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eAuthors' contributions\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eKF was a major contributor to conception of the study, analyzed and interpreted the patient data and wrote the manuscript.\u003c/p\u003e\n\u003cp\u003eTB acquired data, performed the blood sample examinations, analyzed and interpreted the patient data.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMH acquired data, performed the blood sample examinations, analyzed and interpreted the patient data.\u003c/p\u003e\n\u003cp\u003eDD was a major contributor to conception and substantively revised the manuscript.\u003c/p\u003e\n\u003cp\u003eHJB was a major contributor to conception and substantively revised the manuscript.\u003c/p\u003e\n\u003cp\u003eTH drafted the work and was a major contributor to conception of the study, analyzed and interpreted the patient data and wrote the manuscript.\u003c/p\u003e\n\u003cp\u003eAll authors read and approved the final manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eAcknowledgement\u0026nbsp;\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe authors thank the staff of the Emergency Department and of the medical intensive care units of the University Hospital of Freiburg for their help in sample and data collection.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eGr\u0026auml;sner JT, Wnent J, Herlitz J, Perkins GD, Lefering R, Tjelmeland I, et al. 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Circulation. 2018;137:273\u0026ndash;82. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1161/CIRCULATIONAHA.116.024332\u003c/span\u003e\u003cspan address=\"10.1161/CIRCULATIONAHA.116.024332\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cstrong\u003e\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cu\u003eTable 1: Baseline characteristics of study patients\u003c/u\u003e\u003c/strong\u003e\u003c/p\u003e\u003cstrong\u003e\u003cimg 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\" alt=\"image\"\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\n\u003cp\u003e\u003csup\u003e\u0026dagger;\u003c/sup\u003erefers to all OHCA patients who survived \u0026gt; 72 h; Statistics were calculated by Mann-Whitney U test, p-values refer to the difference between the two groups. A p-value of less than 0.05 is considered significant.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: AMI acute myocardial infarction; CAD coronary artery disease; CHF chronic heart failure; COPD chronic obstructive pulmonary disease; CPC cerebral performance categories; CPR cardiopulmonary resuscitation; ECLS extracorporeal life support; ICU intensive care unit; IQR interquartile range; LVEF left ventricular ejection fraction; OHCA out of hospital cardiac arrest; PEA pulseless electrical activity\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cu\u003eTable 2 Association of serum GDF-15 concentrations with LVEF\u0026nbsp;\u003c/u\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cu\u003e\u003cimg 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\" alt=\"image\"\u003e\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eThe serum concentrations of GDF-15 in patients with marked reduction of LVEF (LVEF\u0026lt;40%; n=21 on day 0) were compared to those with mildly reduced or preserved LVEF (LVEF \u0026ge;40%; n=21 on day 0) at the following time points: ICU admission (day 0), day 1, day 2, day 3 and day 5 after OHCA. Statistical analysis was conducted using the Wilcoxon signed rank test, with p-values denoting the statistical significance of the observed differences between the two groups. A p-value of less than 0.05 is considered to be significant.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: GDF-15 growth differentiation factor-15; LVEF left ventricular ejection fraction.\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cu\u003eTable 3: Association of serum GDF-15 concentrations with AMI- related OHCA\u003c/u\u003e\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cu\u003e\u003cimg 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\" alt=\"image\"\u003e\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eThe serum concentrations of GDF-15 in patients presenting with acute myocardial infarction (AMI) as the cause of OHCA (n = 17 on day 0) were compared with those in patients without AMI (n = 25 on day 0) at admission, on days 1, 2, 3 and day 5 after OHCA. Statistical analysis was conducted using the Wilcoxon signed rank test, with p-values denoting the observed difference between the two groups. A p-value of less than 0.05 is considered to be significant.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: GDF-15 growth differentiation factor-15; AMI: Acute myocardial infarction; OHCA: Out-of-hospital cardiac arrest.\u003c/em\u003e\u003cbr\u003e\u003cu\u003eTable 4: Association between serum GDF-15 concentrations and duration of \u0026nbsp; inotropic/ vasopressor therapy\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003e\u003cu\u003e\u003cimg 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\" alt=\"image\"\u003e\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003eSerum concentrations of GDF-15 were compared on day 0, day 1, day 2, day 3, and day 5 in patients requiring prolonged inotropic and/or vasopressor treatment for more than 72 hours, as opposed to those treated for less than 72 hours (see Table 5B). Statistical analysis was conducted using the Wilcoxon signed rank test. The p-value indicated in Table 5B pertains to the observed discrepancy between the two cohorts. A p-value of less than 0.05 is to be considered significant.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: GDF-15 growth differentiation factor-15\u003c/em\u003e\u003c/p\u003e\n\u003cp\u003e\u003cu\u003eTable 5: Association of serum GDF-15 concentrations with lactate clearance\u003c/u\u003e\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" alt=\"image\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cp\u003eSerum concentrations of GDF-15 in patients with impaired lactate clearance compared to those with an appropriate lactate clearance at ICU admission (day 0, n=42), day 1 (n=35), day 2 (n=31), day 3 (n=27) up to day 5 (n=24) after OHCA. Statistical analysis was conducted using the Wilcoxon signed rank test. P-values refer to the difference between the two groups. A p-value of less than 0.05 is considered to be significant.\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eAbbreviations: GDF-15 growth differentiation factor-15\u003c/em\u003e\u003c/p\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":"Cardiopulmonary resuscitation, CPR, OHCA, GDF-15, hemodynamic instability, lactate clearance, post-resuscitation shock, post-cardiac arrest syndrome","lastPublishedDoi":"10.21203/rs.3.rs-6810991/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6810991/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cu\u003e\u003cem\u003eBackground:\u003c/em\u003e\u003c/u\u003e Shock is a major contributor to the poor prognosis of patients after out-of-hospital cardiac arrest (OHCA). This study investigated whether serial levels of growth differentiation factor (GDF)-15 may serve as a marker for impaired cardiovascular function in OHCA survivors.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003e\u003cem\u003eMethods:\u003c/em\u003e\u003c/u\u003e This prospective single-center study included 42 adult OHCA patients who were admitted to a tertiary university hospital. Blood was collected from each patient on day 0 (admission), and on days 1, 2, 3 and 5 after ROSC. Serum GDF-15 and NT-proBNP were measured by ELISA and compared to serum levels of 42 patients with coronary artery disease (CAD). Serial GDF-15 levels and a number of outcomes were assessed, including heart failure biomarker (NT-proBNP), left ventricular ejection fraction (LVEF), acute myocardial infarction (AMI)-related OHCA, hemodynamic instability and lactate clearance.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003e\u003cem\u003eResults:\u003c/em\u003e\u003c/u\u003e Compared to CAD controls, serum GDF-15 levels were consistently elevated from admission to day 5 in OHCA patients. Elevated GDF-15 levels in OHCA patients correlated positively with NT-proBNP levels on day 1, 3 and 5 after ROSC. OHCA patients with LVEF\u0026lt;40% on admission had significantly higher GDF-15 levels than those with LVEF≥40%. Patients with acute myocardial infarction (AMI)-related OHCA had higher GDF-15 levels than patients with non-AMI causes of OHCA. In addition, patients with inadequate lactate clearance and increased and prolonged need for vasopressor/inotropic support, indicating hemodynamic instability, had significantly elevated GDF-15 levels.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003e\u003cem\u003eConclusion:\u003c/em\u003e\u003c/u\u003e Elevated GDF-15 levels are associated with AMI-related OHCA and key determinants of impaired cardiovascular function. Therefore, GDF-15 levels facilitate the identification of patients with post-resuscitation shock who require aggressive treatment.\u003c/p\u003e\n\u003cp\u003e\u003cu\u003e\u003cem\u003eTrial Registration:\u003c/em\u003e\u003c/u\u003e German Clinical Trials Register DRKS; DRKS00009684; registered 27 November 2015; https://drks.de/search/de/trial/DRKS00009684\u003c/p\u003e","manuscriptTitle":"Time Course of Growth Differentiation Factor-15 levels in Post-Resuscitation-Shock after Out-of-hospital Cardiac Arrest","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-13 05:58:54","doi":"10.21203/rs.3.rs-6810991/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":"a80bb24a-9791-4572-a4cb-d64124414696","owner":[],"postedDate":"June 13th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-06-23T00:38:13+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-13 05:58:54","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6810991","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6810991","identity":"rs-6810991","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}