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Kreutz J, Patsalis N, Müller C, Chatzis G, Syntila S, Sassani K, Betz S, Schieffer B, Markus B. EPOS-OHCA: Early Predictors of Outcome and Survival after non-traumatic Out-of-Hospital Cardiac Arrest. Resusc Plus 2024; 19:100728. [PMID: 39157414 PMCID: PMC11327594 DOI: 10.1016/j.resplu.2024.100728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 07/10/2024] [Accepted: 07/11/2024] [Indexed: 08/20/2024] Open
Abstract
Background Post-cardiac arrest syndrome (PCAS) after out-of-hospital cardiac arrest (OHCA) poses significant challenges due to its complex pathomechanisms involving inflammation, ischemia, and reperfusion injury. The identification of early available prognostic indicators is essential for optimizing therapeutic decisions and improving patient outcomes. Methods In this retrospective single-center study, we analyzed real-world data from 463 OHCA patients with either prehospital or in-hospital return of spontaneous circulation (ROSC), treated at the Cardiac Arrest Center of the University Hospital of Marburg (MCAC) from January 2018 to December 2022. We evaluated demographic, prehospital, and clinical variables, including initial rhythms, resuscitation details, and early laboratory results. Statistical analyses included logistic regression to identify predictors of survival and neurological outcomes. Results Overall, 46.9% (n = 217) of patients survived to discharge, with 70.1% (n = 152) achieving favorable neurological status (CPC 1 or 2). Age, initial shockable rhythm, resuscitation time to return of spontaneous circulation (ROSC), and early laboratory parameters like lactate, C-reactive protein, and glomerular filtration rate were identified as independent and combined Early Predictors of Outcome and Survival (EPOS), with high significant predictive value for survival (AUC 0.86 [95% CI 0.82-0.89]) and favorable neurological outcome (AUC 0.84 [95% CI 0.80-0.88]). Conclusion Integration of EPOS into clinical procedures may significantly improve clinical decision making and thus patient prognosis in the early time-crucial period after OHCA. However, further validation in other patient cohorts is needed.
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Affiliation(s)
- Julian Kreutz
- Philipps University of Marburg, Germany
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
- University Hospital of Marburg, Center for Emergency Medicine, Germany
| | - Nikolaos Patsalis
- Philipps University of Marburg, Germany
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
| | - Charlotte Müller
- Philipps University of Marburg, Germany
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
| | - Georgios Chatzis
- Philipps University of Marburg, Germany
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
| | - Styliani Syntila
- Philipps University of Marburg, Germany
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
| | - Kiarash Sassani
- Philipps University of Marburg, Germany
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
| | - Susanne Betz
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
- University Hospital of Marburg, Center for Emergency Medicine, Germany
| | - Bernhard Schieffer
- Philipps University of Marburg, Germany
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
- University Hospital of Marburg, Center for Emergency Medicine, Germany
| | - Birgit Markus
- Philipps University of Marburg, Germany
- University Hospital of Marburg, Department of Cardiology, Angiology, and Intensive Care Medicine, Germany
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Contenti J, Occelli C, Lemachatti A, Hamard F, Giolito D, Levraut J. Is the lactate value predictive of the return of spontaneous circulation during CPR in nontraumatic OHCA? Am J Emerg Med 2024; 79:75-78. [PMID: 38387215 DOI: 10.1016/j.ajem.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/14/2024] [Accepted: 02/17/2024] [Indexed: 02/24/2024] Open
Abstract
AIM OF THE STUDY Cardiac arrest is a major public health issue, in which emergency medical services (EMS) initiating or continuing resuscitation in about 50% to 60% of cases. The aim of this study was to determine whether blood lactate levels and their course during cardiopulmonary resuscitation are prognostic indicators of the return of spontaneous cardiac activity (ROSC) in non-traumatic out-of-hospital cardiac arrest (OHCA). METHODS This was a prospective, interventional, multi-center study between 2017 and 2020. Patients above the age of 18 years (>50 years for women) who had non-traumatic OHCA and did not achieve ROSC before the arrival of the EMS, and for whom the medical team decided to initiate or continue cardiopulmonary resuscitation have been included. The primary endpoint was the return of spontaneous cardiac activity during out-of-hospital cardiopulmonary resuscitation, and secondary endpoint was survival at day 28. The lactate was initially measured simultaneously on a venous and capillary sample and then in capillary samples throughout the CPR, using POC device. RESULTS A total 60 patients were included. Median age was 71 [IQR: 62-84] and 21.3% were female. Among them, 25% underwent ROSC in out-of-hospital setting, and 13,3% were alive at D-28. The median venous lactate value in all patients at T0 (time at which the EMS set up the peripheral venous line) was 6.2 mmol/L [IQR: 4.6-8.1], with no difference between patients with or without ROSC: 6.4 mmol/L [IQR:4.7-7.9] for patients with ROSC and 6.2 mmol/L [IQR: 4.7-8] for patients without ROSC (p = 0.87). The variables independently associated with ROSC were initial EtCo2 value (aOR = 1.12; 95% CI 1.01-1.25); the initial shockable rhythm (aOR = 10.2; 95% CI 1.18-88.2); and the pre-ROSC adrenaline dose (aOR = 0.54; 95% CI 0.35-0.82). CONCLUSION In this prospective multi-center study, there was no independent association between lactate values during cardiopulmonary resuscitation and ROSC in non-traumatic OHCA. However, the post-ROSC pre-hospital kinetics of lactate (i.e., during the first 30 min) seem to be associated with survival.
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Affiliation(s)
- J Contenti
- Department of Emergency Medicine, Hospital Pasteur, 2 - 30, avenue de la voie Romaine, F06100 Nice, France; University of Nice Sophia Antipolis, School of Medicine, Avenue de Valombrose, F06100 Nice, France.
| | - C Occelli
- Department of Emergency Medicine, Hospital Pasteur, 2 - 30, avenue de la voie Romaine, F06100 Nice, France; University of Nice Sophia Antipolis, School of Medicine, Avenue de Valombrose, F06100 Nice, France
| | - A Lemachatti
- Department of Emergency Medicine, Hospital Pasteur, 2 - 30, avenue de la voie Romaine, F06100 Nice, France; University of Nice Sophia Antipolis, School of Medicine, Avenue de Valombrose, F06100 Nice, France
| | - F Hamard
- Department of Emergency Medicine, Hospital Pasteur, 2 - 30, avenue de la voie Romaine, F06100 Nice, France; University of Nice Sophia Antipolis, School of Medicine, Avenue de Valombrose, F06100 Nice, France
| | - D Giolito
- Department of Emergency Medicine, Hospital Pasteur, 2 - 30, avenue de la voie Romaine, F06100 Nice, France
| | - J Levraut
- Department of Emergency Medicine, Hospital Pasteur, 2 - 30, avenue de la voie Romaine, F06100 Nice, France; University of Nice Sophia Antipolis, School of Medicine, Avenue de Valombrose, F06100 Nice, France
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Sun Y, He Z, Ren J, Wu Y. Prediction model of in-hospital mortality in intensive care unit patients with cardiac arrest: a retrospective analysis of MIMIC -IV database based on machine learning. BMC Anesthesiol 2023; 23:178. [PMID: 37231340 DOI: 10.1186/s12871-023-02138-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Accepted: 05/13/2023] [Indexed: 05/27/2023] Open
Abstract
BACKGROUND Both in-hospital cardiac arrest (IHCA) and out-of-hospital cardiac arrest (OHCA) have higher incidence and lower survival rates. Predictors of in-hospital mortality for intensive care unit (ICU) admitted cardiac arrest (CA) patients remain unclear. METHODS The Medical Information Mart for Intensive Care IV (MIMIC-IV) database was used to perform a retrospective study. Patients meeting the inclusion criteria were identified from the MIMIC-IV database and randomly divided into training set (n = 1206, 70%) and validation set (n = 516, 30%). Candidate predictors consisted of the demographics, comorbidity, vital signs, laboratory test results, scoring systems, and treatment information on the first day of ICU admission. Independent risk factors for in-hospital mortality were screened using the least absolute shrinkage and selection operator (LASSO) regression model and the extreme gradient boosting (XGBoost) in the training set. Multivariate logistic regression analysis was used to build prediction models in training set, and then validated in validation set. Discrimination, calibration and clinical utility of these models were compared using the area under the curve (AUC) of the receiver operating characteristic (ROC) curves, calibration curves and decision curve analysis (DCA). After pairwise comparison, the best performing model was chosen to build a nomogram. RESULTS Among the 1722 patients, in-hospital mortality was 53.95%. In both sets, the LASSO, XGBoost,the logistic regression(LR) model and the National Early Warning Score 2 (NEWS 2) models showed acceptable discrimination. In pairwise comparison, the prediction effectiveness was higher with the LASSO,XGBoost and LR models than the NEWS 2 model (p < 0.001). The LASSO,XGBoost and LR models also showed good calibration. The LASSO model was chosen as our final model for its higher net benefit and wider threshold range. And the LASSO model was presented as the nomogram. CONCLUSIONS The LASSO model enabled good prediction of in-hospital mortality in ICU admission CA patients, which may be widely used in clinical decision-making.
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Affiliation(s)
- Yiwu Sun
- Department of Anesthesiology, Dazhou Central Hospital, No.56 Nanyuemiao Street, Tongchuan District, Dazhou, Sichuan, 635000, China.
| | - Zhaoyi He
- Department of Anesthesiology, The Third Affiliated Hospital of Harbin Medical University, No.150 Haping Road, Nangang District, Harbin, Heilongjiang, 150000, China
| | - Jie Ren
- Department of Anesthesiology, Guizhou Provincial People's Hospital, No.83 Zhongshan East Road, Nanming District, Guiyang, Guizhou, 550002, China
| | - Yifan Wu
- Department of Anesthesiology, Shanghai Sixth People's Hospital, No.600 Yishan Road, Xuhui District, Shanghai, 200030, China
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Gentile FR, Baldi E, Klersy C, Schnaubelt S, Caputo ML, Clodi C, Bruno J, Compagnoni S, Fasolino A, Benvenuti C, Domanovits H, Burkart R, Primi R, Ruzicka G, Holzer M, Auricchio A, Savastano S. Association Between Postresuscitation 12-Lead ECG Features and Early Mortality After Out-of-Hospital Cardiac Arrest: A Post Hoc Subanalysis of the PEACE Study. J Am Heart Assoc 2023; 12:e027923. [PMID: 37183852 DOI: 10.1161/jaha.122.027923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Background Once the return of spontaneous circulation after out-of-hospital cardiac arrest is achieved, a 12-lead ECG is strongly recommended to identify candidates for urgent coronary angiography. ECG has no apparent role in mortality risk stratification. We aimed to assess whether ECG features could be associated with 30-day survival in patients with out-of-hospital cardiac arrest. Methods and Results All the post-return of spontaneous circulation ECGs from January 2015 to December 2018 in 3 European centers (Pavia, Lugano, and Vienna) were collected. Prehospital data were collected according to the Utstein style. A total of 370 ECGs were collected: 287 men (77.6%) with a median age of 62 years (interquartile range, 53-70 years). After correction for the return of spontaneous circulation-to-ECG time, age >62 years (hazard ratio [HR], 1.78 [95% CI, 1.21-2.61]; P=0.003), female sex (HR, 1.5 [95% CI, 1.05-2.13]; P=0.025), QRS wider than 120 ms (HR, 1.64 [95% CI, 1.43-1.87]; P<0.001), the presence of a Brugada pattern (HR, 1.49 [95% CI, 1.39-1.59]; P<0.001), and the presence of ST-segment elevation in >1 segment (HR, 1.75 [95% CI, 1.59-1.93]; P<0.001) were independently associated with 30-day mortality. A score ranging from 0 to 26 was created, and by dividing the population into 3 tertiles, 3 classes of risk were found with significantly different survival rate at 30 days (score 0-4, 73%; score 5-7, 66%; score 8-26, 45%). Conclusions The post-return of spontaneous circulation ECG can identify patients who are at high risk of mortality after out-of-hospital cardiac arrest earlier than other forms of prognostication. This provides important risk stratification possibilities in postcardiac arrest care that could help to direct treatments and improve outcomes in patients with out-of-hospital cardiac arrest.
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Affiliation(s)
- Francesca Romana Gentile
- Department of Molecular Medicine, Section of Cardiology University of Pavia Pavia Italy
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | - Enrico Baldi
- Department of Molecular Medicine, Section of Cardiology University of Pavia Pavia Italy
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | - Catherine Klersy
- Clinical Epidemiology and Biometry Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | | | | | - Christian Clodi
- Department of Emergency Medicine Medical University of Vienna Wien Austria
| | | | - Sara Compagnoni
- Department of Molecular Medicine, Section of Cardiology University of Pavia Pavia Italy
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | - Alessandro Fasolino
- Department of Molecular Medicine, Section of Cardiology University of Pavia Pavia Italy
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | | | - Hans Domanovits
- Clinical Epidemiology and Biometry Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | | | - Roberto Primi
- Division of Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | - Gerhard Ruzicka
- Department of Emergency Medicine Medical University of Vienna Wien Austria
| | - Michael Holzer
- Department of Emergency Medicine Medical University of Vienna Wien Austria
| | | | - Simone Savastano
- Division of Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
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Shinada K, Koami H, Matsuoka A, Sakamoto Y. Prediction of return of spontaneous circulation in out-of-hospital cardiac arrest with non-shockable initial rhythm using point-of-care testing: a retrospective observational study. World J Emerg Med 2023; 14:89-95. [PMID: 36911060 PMCID: PMC9999141 DOI: 10.5847/wjem.j.1920-8642.2023.031] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 11/10/2022] [Indexed: 02/22/2023] Open
Abstract
BACKGROUND Out-of-hospital cardiac arrest (OHCA) is a public health concern, and many studies have been conducted on return of spontaneous circulation (ROSC) and its prognostic factors. Rotational thromboelastometry (ROTEM®), a point-of-care testing (POCT) method, has been useful for predicting ROSC in patients with OHCA, but very few studies have focused on patients with non-shockable rhythm. We examined whether the parameters of POCT could predict ROSC in patients with OHCA and accompanying non-shockable rhythm. METHODS This is a single-center, retrospective observational study. Complete blood count, blood gas, and ROTEM POCT measurements were used. This study included patients with non-traumatic OHCA aged 18 years or older who were transported to the emergency department and evaluated using POCT between January 2013 and December 2021. The patients were divided into the ROSC and non-ROSC groups. Prehospital information and POCT parameters were compared using receiver operating characteristic (ROC) curve analysis, and further logistic regression analysis was performed. RESULTS Sixty-seven and 135 patients were in the ROSC and non-ROSC groups, respectively. The ROC curves showed a high area under the curve (AUC) for K+ of 0.77 (95% confidence interval [CI]: 0.71-0.83) and EXTEM amplitude 5 min after clotting time (A5) of 0.70 (95%CI: 0.62-0.77). The odds ratios for ROSC were as follows: female sex 3.67 (95%CI: 1.67-8.04); K+ 0.64 (95%CI: 0.48-0.84); and EXTEM A5 1.03 (95%CI: 1.01-1.06). CONCLUSION In OHCA patients with non-shockable rhythm, K+ level and the ROTEM parameter EXTEM A5 may be useful in predicting ROSC.
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Affiliation(s)
- Kota Shinada
- Department of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Saga Prefecture 849-8501, Japan
| | - Hiroyuki Koami
- Division of Translational Research in Intensive Care Medicine, Faculty of Medicine, Saga University, Saga City, Saga Prefecture 849-8501, Japan
| | - Ayaka Matsuoka
- Division of Translational Research in Intensive Care Medicine, Faculty of Medicine, Saga University, Saga City, Saga Prefecture 849-8501, Japan
| | - Yuichiro Sakamoto
- Department of Emergency and Critical Care Medicine, Faculty of Medicine, Saga University, Saga City, Saga Prefecture 849-8501, Japan
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Rusnak J, Schupp T, Weidner K, Ruka M, Egner-Walter S, Forner J, Bertsch T, Kittel M, Mashayekhi K, Tajti P, Ayoub M, Behnes M, Akin I. Impact of Lactate on 30-Day All-Cause Mortality in Patients with and without Out-of-Hospital Cardiac Arrest Due to Cardiogenic Shock. J Clin Med 2022; 11:jcm11247295. [PMID: 36555911 PMCID: PMC9781807 DOI: 10.3390/jcm11247295] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 11/29/2022] [Accepted: 12/01/2022] [Indexed: 12/14/2022] Open
Abstract
In patients with cardiogenic shock (CS) due to myocardial infarction, elevated lactate levels are known to be negative predictors. Studies regarding the prognostic impact in patients with CS complicated by out-of-hospital cardiac arrest (OHCA) are limited. Two hundred and sixty-three consecutive patients with CS were included. The prognostic value of lactate on days 1, 2, 3, 4 and 8 was tested stratified by OHCA and non-OHCA. Statistical analyses included the univariable t-test, Spearman's correlation, C-statistics, Kaplan-Meier analyses, as well as multivariable mixed analysis of variance (ANOVA) and Cox proportional regression analyses. The primary endpoint of all-cause mortality occurred in 49.4% of the non-OHCA group and in 63.4% of the OHCA group. Multivariable regression models showed an association of lactate values with 30-day all-cause mortality in the non-OHCA (p = 0.024) and OHCA groups (p = 0.001). In Kaplan-Meier analyses, patients with lactate levels ≥ 4 mmol/L (log-rank p = 0.001) showed the highest risk for 30-day all-cause mortality in the non-OHCA as well as in the OHCA group. However, in C-statistics lactate on days 1 and 8 had a better discrimination for 30-day all-cause mortality in the OHCA group compared to the non-OHCA group. In conclusion, patients presenting with CS lactate levels showed a good prognostic performance, with and without OHCA. Especially, lactate levels on days 1 and 8 were more accurate in the discrimination for all-cause mortality in CS-patients with OHCA.
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Affiliation(s)
- Jonas Rusnak
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
- Correspondence:
| | - Tobias Schupp
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
| | - Kathrin Weidner
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
| | - Marinela Ruka
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
| | - Sascha Egner-Walter
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
| | - Jan Forner
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
| | - Thomas Bertsch
- Institute of Clinical Chemistry, Laboratory Medicine and Transfusion Medicine, Nuremberg General Hospital, Paracelsus Medical University, 90419 Nuremberg, Germany
| | - Maximilian Kittel
- Institute for Clinical Chemistry, Faculty of Medicine Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Kambis Mashayekhi
- Department of Internal Medicine and Cardiology, Mediclin Heart Centre Lahr, 77933 Lahr, Germany
| | - Péter Tajti
- Gottsegen György National Cardiovascular Center, 1096 Budapest, Hungary
| | - Mohamed Ayoub
- Division of Cardiology and Angiology, Heart Center University of Bochum, 32545 Bad Oeynhausen, Germany
| | - Michael Behnes
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
| | - Ibrahim Akin
- Department of Cardiology, Angiology, Haemostaseology and Medical Intensive Care, University Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
- European Center for AngioScience (ECAS), German Center for Cardiovascular Research (DZHK) Partner Site Heidelberg/Mannheim, 68167 Mannheim, Germany
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Kong T, You JS, Lee HS, Jeon S, Park YS, Chung SP. Optimal temperature in targeted temperature management without automated devices using a feedback system: A multicenter study. Am J Emerg Med 2022; 57:124-132. [DOI: 10.1016/j.ajem.2022.04.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 03/23/2022] [Accepted: 04/27/2022] [Indexed: 10/18/2022] Open
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