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Liu C, Wu X, Deng R, Xu X, Chen C, Wu L, Zhang W, Yang H, Fei Y, Sun Y, Zhou S, Fang B. Systemic immune-inflammation index combined with quick sequential organ failure assessment score for predicting mortality in sepsis patients. Heliyon 2023; 9:e19526. [PMID: 37809490 PMCID: PMC10558729 DOI: 10.1016/j.heliyon.2023.e19526] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2023] [Revised: 08/03/2023] [Accepted: 08/25/2023] [Indexed: 10/10/2023] Open
Abstract
Objective To evaluate the prognostic ability of systemic immune-inflammation index (SII) combine with quick Sequential Organ Failure Assessment (qSOFA) criteria in predicting the 28-day mortality of sepsis. Methods A retrospective cohort study was conducted, with the population comprised in whom sepsis was confirmed. Clinical and laboratory data recorded were analyzed. The score of Sequential Organ Failure Assessment (SOFA), SII, qSOFA were calculated. Multivariable regression, receiver operating characteristic (ROC) analysis and Kaplan-Meier method were used to identify and compared the predictors of prognosis among SOFA, qSOFA, and the combination of SII with qSOFA. Results A total of 349 patients admitted from December 2020 and December 2022 were included in the cohort. 95 (27.2%) of whom had died by day 28. The SII, SOFA, and qSOFA scores were significant higher in the non-survivors than that of survivors (P < 0.05), and identified as independent predictors of sepsis mortality. The addition of SII to qSOFA shown an area under receiver operator characteristic (AUROC) of 0.840 (95% CI: 0.787-0.884), manifested an effective ability in predicting poor outcome than other scoring systems. The optimum cutoff for SII (>1.7668) and qSOFA (>1) represented a high risk level in 28-day mortality of sepsis, were performed and identified in Kaplan-Meier survival curves (log-rank test, HR: 6.942, 95% CI: 3.976-12.121; P < 0.0001). Conclusion The SII in addition to qSOFA provided an effective prognostic tool for predicting mortality in sepsis.
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Affiliation(s)
- Changya Liu
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Xinxin Wu
- Shanghai Skin Disease Hospital, School of Medicine, Tongji University, 200443, Shanghai, China
| | - Rou Deng
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Xiangru Xu
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Caiyu Chen
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Linguangjin Wu
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Wen Zhang
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Hongqiang Yang
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Yuerong Fei
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Yuting Sun
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
| | - Shuang Zhou
- Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Bangjiang Fang
- Department of Emergency, LongHua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200032, China
- Institute of Emergency and Critical Care Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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A comparison of qSOFA, SIRS and NEWS in predicting the accuracy of mortality in patients with suspected sepsis: A meta-analysis. PLoS One 2022; 17:e0266755. [PMID: 35427367 PMCID: PMC9012380 DOI: 10.1371/journal.pone.0266755] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 03/26/2022] [Indexed: 12/20/2022] Open
Abstract
Objective
To identify and compare prognostic accuracy of quick Sequential Organ Failure Assessment (qSOFA) score, Systemic Inflammatory Response Syndrome (SIRS) criteria, and National Early Warning Score (NEWS) to predict mortality in patients with suspected sepsis.
Methods
This meta-analysis followed accordance with the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We searched PubMed, EMBASE, Web of Science, and the Cochrane Library databases from establishment of the database to November 29, 2021. The pooled sensitivity and specificity with 95% CIs were calculated using a bivariate random-effects model (BRM). Hierarchical summary receiver operating characteristic (HSROC) curves were generated to assess the overall prognostic accuracy.
Results
Data of 62338 patients from 26 studies were included in this meta-analysis. qSOFA had the highest specificity and the lowest sensitivity with a specificity of 0.82 (95% CI: 0.76–0.86) and a sensitivity of 0.46 (95% CI: 0.39–0.53). SIRS had the highest sensitivity and the lowest specificity with a sensitivity of 0.82 (95% CI: 0.78–0.85) and a specificity 0.24 (95% CI: 0.19–0.29). NEWS had both an intermediate sensitivity and specificity with a sensitivity of 0.73 (95% CI: 0.63–0.81) and a specificity 0.52 (95% CI: 0.39–0.65). qSOFA showed higher overall prognostic accuracy than SIRS and NEWS by comparing HSROC curves.
Conclusions
Among qSOFA, SIRS and NEWS, qSOFA showed higher overall prognostic accuracy than SIRS and NEWS. However, no scoring system has both high sensitivity and specificity for predicting the accuracy of mortality in patients with suspected sepsis.
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Obermaier M, Weigand MA, Popp E, Uhle F. [Sepsis in out-of-hospital emergency medicine]. Notf Rett Med 2021; 25:541-551. [PMID: 34812248 PMCID: PMC8597546 DOI: 10.1007/s10049-021-00949-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/06/2021] [Indexed: 10/28/2022]
Abstract
Background Sepsis is a challenge in emergency medicine, as this life-threatening organ dysfunction, caused by a dysregulated host response to an infection, presents manifold and therefore is often recognized too late. Objectives Recently published surviving sepsis campaign and German S3 guidelines provide recommendations for diagnosis and therapy of sepsis in an in-hospital or intensive care setting, but do not particularly address out-of-hospital emergency medical care. We aim to work out the evidence base with regard to the out-of-hospital care of patients with suspected sepsis and to derive treatment recommendations for emergency medical services. Conclusions Therapy of sepsis and septic shock is summarized in bundles, whereby the first bundle should ideally be completed within the first hour-in analogy to "golden hour" concepts in other emergency medical entities, such as trauma care. In the out-of-hospital setting, therapy focuses on securing vital parameters, according to the ABCDE scheme, with a particular focus on volume therapy. Further procedures within the 1 h bundle, such as lactate measurement, obtaining microbiological samples, and starting an anti-infective therapy, are broadly available in hospital only. The aim is to control the site of infection as soon as possible. Therefore, an appropriate designated hospital should be chosen carefully and informed in advance, in order to initiate and pave the way for further clinical diagnostic and treatment paths. Moreover, structured and target-oriented handovers, as well as regular training, are required.
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Affiliation(s)
- Manuel Obermaier
- Klinik für Anästhesiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Deutschland
| | - Markus A Weigand
- Klinik für Anästhesiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Deutschland
| | - Erik Popp
- Klinik für Anästhesiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Deutschland
| | - Florian Uhle
- Klinik für Anästhesiologie, Universitätsklinikum Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Deutschland
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Abdullah SMOB, Sørensen RH, Nielsen FE. Prognostic Accuracy of SOFA, qSOFA, and SIRS for Mortality Among Emergency Department Patients with Infections. Infect Drug Resist 2021; 14:2763-2775. [PMID: 34321893 PMCID: PMC8313375 DOI: 10.2147/idr.s304952] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 05/20/2021] [Indexed: 12/16/2022] Open
Abstract
Objective This study aimed to determine the prognostic accuracy of SOFA in comparison to quick-SOFA (qSOFA) and systemic inflammatory response syndrome (SIRS) in predicting 28-day mortality in the emergency department (ED) patients with infections. Methods A secondary analysis of data from a prospective study of adult patients with documented or suspected infections admitted to an ED in Denmark from Oct-2017 to Mar-2018. The SOFA scores were calculated after adjustment for chronic diseases. The prognostic accuracy was assessed by analysis of sensitivity, specificity, predictive values, likelihood ratios, and area under the receiver operating characteristic curve (AUROC) with 95% confidence intervals (CI). Results A total of 2045 patients with a median age of 73.2 (IQR: 60.9-82.1) years were included. The overall 28-day mortality was 7.7%. In patients meeting a SOFA score ≥2, qSOFA score ≥2, and SIRS criteria ≥2 the 28-day mortality was 13.6% (11.2-16.3), 17.8% (12.4-24.3) and 8.3% (6.7-10.2), respectively. SOFA ≥2 had a sensitivity of 61.4% (53.3-69.0) and specificity of 67.3% (65.1-69.4), qSOFA ≥2 had a sensitivity of 19.6% (13.7-26.7) and specificity of 92.4% (91.1-93.6), and SIRS ≥2 had a sensitivity of 52.5% (44.4-60.5) and specificity of 51.5% (49.2-53.7). The AUROC for SOFA compared to SIRS was: 0.68 vs 0.52; p<0.001 and compared to qSOFA: 0.68 vs 0.63; p=0.018. Conclusion A SOFA score of at least two had better prognostic accuracy for 28-day mortality than SIRS and qSOFA. However, the overall accuracy of SOFA was poor for the prediction of 28-day mortality.
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Affiliation(s)
| | | | - Finn Erland Nielsen
- Department of Emergency Medicine, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Slagelse, Denmark.,Copenhagen Center for Translational Research, Copenhagen University Hospital, Bispebjerg and Frederiksberg, Slagelse, Denmark
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Xie Y, Li B, Lin Y, Shi F, Chen W, Wu W, Zhang W, Fei Y, Zou S, Yao C. Combining Blood-Based Biomarkers to Predict Mortality of Sepsis at Arrival at the Emergency Department. Med Sci Monit 2021; 27:e929527. [PMID: 33630815 PMCID: PMC7923396 DOI: 10.12659/msm.929527] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Background Our aim was to determine a useful combination of blood biomarkers that can predict 28-day mortality of sepsis upon arrival at the Emergency Department (ED). Material/Methods Based on Sepsis-3.0, 90 sepsis patients were enrolled and divided into survivor and nonsurvivor groups with day 28 as the study end point. After comparing the demographic data and clinical characteristics of patients, we evaluated the predictive validity of a combination of markers including interleukin-6 (IL-6), procalcitonin (PCT), and lactate at arrival at the ED. Independent risk factors were found by using univariate and multivariate logistic regression analyses, and the prognostic value of markers was determined by the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Results There were 67 (74.4%) survivors and 23 (25.6%) nonsurvivors. The levels of IL-6 (survivors vs nonsurvivors: median 205.30 vs 3499.00 pg/mL, P=0.012) and lactate (survivors vs nonsurvivors: median 2.37 vs 5.77 mmol/L, P=0.003) were significantly lower in survivor group compared with the nonsurvivor group. Markers including IL-6, PCT, lactate, and neutrophil-to-white blood cell ratio (NWR) were independent risk factors in predicting 28-day mortality due to sepsis. The combination of these 4 markers provided the best predictive performance for 28-day mortality of patients with sepsis, on arrival at the ED (AUC of 0.823, 95% confidence interval [CI] 0.723–0.924), and its accuracy, specificity, and sensitivity were 74.4% (95% CI 64.0–82.8%), 91% (95% CI 80.9–96.3%), and 65% (95% CI 42.8–82.8%), respectively. Conclusions The combination of IL-6, PCT, lactate, and NWR measurements is a potential predictor of 28-day mortality for patients with sepsis, at arrival at the ED. Further research is needed to confirm our findings.
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Affiliation(s)
- Yinjing Xie
- Laboratory Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Binbin Li
- Emergency Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Ying Lin
- Laboratory Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Fei Shi
- Emergency Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Weibu Chen
- Laboratory Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Wenyuan Wu
- Laboratory Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Wenjia Zhang
- Laboratory Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Yun Fei
- Laboratory Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Shiqing Zou
- Laboratory Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
| | - Can Yao
- Emergency Department, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China (mainland)
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Guarino M, Gambuti E, Alfano F, De Giorgi A, Maietti E, Strada A, Ursini F, Volpato S, Caio G, Contini C, De Giorgio R. Predicting in-hospital mortality for sepsis: a comparison between qSOFA and modified qSOFA in a 2-year single-centre retrospective analysis. Eur J Clin Microbiol Infect Dis 2020; 40:825-831. [PMID: 33118057 PMCID: PMC7979592 DOI: 10.1007/s10096-020-04086-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2020] [Accepted: 10/23/2020] [Indexed: 12/27/2022]
Abstract
Sepsis is a life-threating organ dysfunction caused by a dysregulated host response to infection. This study proposed a new tool, i.e. modified qSOFA, for the early prognostic assessment of septic patients. All cases of sepsis/septic shock consecutively observed in 2 years (January 2017–December 2018), at St. Anna University Hospital of Ferrara, Italy, were included. Each patient was evaluated with qSOFA and a modified qSOFA (MqSOFA), i.e. adding a SpO2/FiO2 ratio to qSOFA. Logistic regression and survival analyses were applied to compare the two scores. A total number of 1137 consecutive cases of sepsis and septic shock were considered. Among them 136 were excluded for incomplete report of vital parameters. A total number of 668 patients (66.7%) were discharged, whereas 333 (33.3%) died because of sepsis-related complications. Data analysis showed that MqSOFA (AUC 0.805, 95% C.I. 0.776–0.833) had a greater ability to detect in-hospital mortality than qSOFA (AUC 0.712, 95% C.I. 0.678–0.746) (p < 0.001). Eighty-five patients (8.5%) were reclassified as high-risk (qSOFA< 2 and MqSOFA≥ 2) resulting in an improvement of sensitivity with a minor reduction in specificity. A significant difference of in-hospital mortality was observed between low-risk and reclassified high-risk (p < 0.001) and low-risk vs. high-risk groups (p < 0.001). We demonstrated that MqSOFA provided a better predictive score than qSOFA regarding patient’s outcome. Since sepsis is an underhanded and time-dependent disease, physicians may rely upon the herein proposed simple score, i.e. MqSOFA, to establish patients’ severity and outcome.
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Affiliation(s)
- Matteo Guarino
- Department of Morphology, Surgery and Experimental Medicine, St. Anna University Hospital, University of Ferrara, Via A. Moro, 844124, Cona, Ferrara, Italy
| | - Edoardo Gambuti
- Department of Morphology, Surgery and Experimental Medicine, St. Anna University Hospital, University of Ferrara, Via A. Moro, 844124, Cona, Ferrara, Italy
| | - Franco Alfano
- Department of Morphology, Surgery and Experimental Medicine, St. Anna University Hospital, University of Ferrara, Via A. Moro, 844124, Cona, Ferrara, Italy
| | - Alfredo De Giorgi
- Department of Internal Medicine, St. Anna University Hospital, University of Ferrara, Cona, Ferrara, Italy
| | - Elisa Maietti
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
- Centre of Clinical Epidemiology, Department of Medical Science, University of Ferrara, Ferrara, Italy
| | - Andrea Strada
- Department of Emergency Medicine, St. Anna University Hospital, University of Ferrara, Cona, Ferrara, Italy
| | - Francesco Ursini
- Department of Morphology, Surgery and Experimental Medicine, St. Anna University Hospital, University of Ferrara, Via A. Moro, 844124, Cona, Ferrara, Italy
| | - Stefano Volpato
- Department of Morphology, Surgery and Experimental Medicine, St. Anna University Hospital, University of Ferrara, Via A. Moro, 844124, Cona, Ferrara, Italy
| | - Giacomo Caio
- Department of Morphology, Surgery and Experimental Medicine, St. Anna University Hospital, University of Ferrara, Via A. Moro, 844124, Cona, Ferrara, Italy
| | - Carlo Contini
- Department of Infectious and Dermatology Diseases, St. Anna University Hospital, University of Ferrara, Cona, Ferrara, Italy
| | - Roberto De Giorgio
- Department of Morphology, Surgery and Experimental Medicine, St. Anna University Hospital, University of Ferrara, Via A. Moro, 844124, Cona, Ferrara, Italy.
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Zhou HJ, Lan TF, Guo SB. Outcome prediction value of National Early Warning Score in septic patients with community-acquired pneumonia in emergency department: A single-center retrospective cohort study. World J Emerg Med 2020; 11:206-215. [PMID: 33014216 DOI: 10.5847/wjem.j.1920-8642.2020.04.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND To evaluate the accuracy of National Early Warning Score (NEWS) in predicting clinical outcomes (28-day mortality, intensive care unit [ICU] admission, and mechanical ventilation use) for septic patients with community-acquired pneumonia (CAP) compared with other commonly used severity scores (CURB65, Pneumonia Severity Index [PSI], Sequential Organ Failure Assessment [SOFA], quick SOFA [qSOFA], and Mortality in Emergency Department Sepsis [MEDS]) and admission lactate level. METHODS Adult patients diagnosed with CAP admitted between January 2017 and May 2019 with admission SOFA ≥2 from baseline were enrolled. Demographic characteristics were collected. The primary outcome was the 28-day mortality after admission, and the secondary outcome included ICU admission and mechanical ventilation use. Outcome prediction value of parameters above was compared using receiver operating characteristics (ROC) curves. Cox regression analyses were carried out to determine the risk factors for the 28-day mortality. Kaplan-Meier survival curves were plotted and compared using optimal cut-off values of qSOFA and NEWS. RESULTS Among the 340 enrolled patients, 90 patients were dead after a 28-day follow-up, 62 patients were admitted to ICU, and 84 patients underwent mechanical ventilation. Among single predictors, NEWS achieved the largest area under the receiver operating characteristic (AUROC) curve in predicting the 28-day mortality (0.861), ICU admission (0.895), and use of mechanical ventilation (0.873). NEWS+lactate, similar to MEDS+lactate, outperformed other combinations of severity score and admission lactate in predicting the 28-day mortality (AUROC 0.866) and ICU admission (AUROC 0.905), while NEWS+lactate did not outperform other combinations in predicting mechanical ventilation (AUROC 0.886). Admission lactate only improved the predicting performance of CURB65 and qSOFA in predicting the 28-day mortality and ICU admission. CONCLUSIONS NEWS could be a valuable predictor in septic patients with CAP in emergency departments. Admission lactate did not predict well the outcomes or improve the severity scores. A qSOFA ≥2 and a NEWS ≥9 were strongly associated with the 28-day mortality, ICU admission, and mechanical ventilation of septic patients with CAP in the emergency departments.
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Affiliation(s)
- Hai-Jiang Zhou
- Emergency Medicine Clinical Research Center, Beijing Chao-yang Hospital, Capital Medical University & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, China
| | - Tian-Fei Lan
- Department of Allergy, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Shu-Bin Guo
- Emergency Medicine Clinical Research Center, Beijing Chao-yang Hospital, Capital Medical University & Beijing Key Laboratory of Cardiopulmonary Cerebral Resuscitation, Beijing, China
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