ZHANG Nan, LIN Qingting, ZHU Huadong. Prediction Model for In-hospital Death of Patients with Cardiac Arrest[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(5): 1023-1030. DOI: 10.12290/xhyxzz.2023-0378
Citation: ZHANG Nan, LIN Qingting, ZHU Huadong. Prediction Model for In-hospital Death of Patients with Cardiac Arrest[J]. Medical Journal of Peking Union Medical College Hospital, 2023, 14(5): 1023-1030. DOI: 10.12290/xhyxzz.2023-0378

Prediction Model for In-hospital Death of Patients with Cardiac Arrest

Funds: 

National High Level Hospital Clinical Research Funding 2022-PUMCH-B-110

More Information
  • Corresponding author:

    ZHU Huadong, E-mail: zhuhuadong1970@126.com

  • Received Date: August 14, 2023
  • Accepted Date: September 18, 2023
  • Available Online: September 25, 2023
  • Issue Publish Date: September 29, 2023
  •   Objective  To build a prediction model of the in-hospital death of patients with cardiac arrest.
      Methods  This study is a retrospective analysis based on the medical information mart for intensive care-Ⅳ (MIMIC-Ⅳ)2.0. We gathered the information of patients above 18 years old, with cardiac arrest and intensive care unit (ICU) experience. A stepwise multi-variate logistic regression analysis was performed to filter variables, variables with P values < 0.05 were kept and enter as predictors of in-hospital death of patients with cardiac arrest. The model was evaluated with receiver operating characteristic (ROC) curve for discriminative power and with calibration curve for consistency. Finally, an online dynamic nomogram calculator was built to calculate the risk of in-hospital death.
      Results  This study included 1772 patients with cardiac arrest. The mean age of those patients was (64.93±16.52) years old, and 963 (54.3%) patients suffered in-hospital death. The factors of the prediction model for in-hospital death of cardiac arrest patients constructed based on multi-variate logistic regression included: potential cardiac disease diagnosis, age adjusted Chalson comorbidity index(CCI), body mass index (BMI), vital signs, lowest lactic acid and lowest Glasgow coma scale (GCS) during the first 24 hours after entering ICU, cardiac ultrasound examination, invasive mechanical ventilation and vasopressin utilization. The sensitivity and specificity of the prediction model were 73.1%(95% CI: 0.702-0.759) and 71.6%(95% CI: 0.683-0.745), respectively. Area under the ROC curve was 0.806(95% CI: 0.786-0.826).
      Conclusions  The prediction model built in this study can properly predict the in-hospital death of patients with cardiac arrest.
  • [1]
    陈小凤, 聂时南, 季娟娟, 等. 心肺复苏预后影响因素的研究进展[J]. 临床急诊杂志, 2019, 20: 87-92. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZLC201901019.htm
    [2]
    杜兰芳, 郑康, 冯璐, 等. 中国急诊医生对心脏骤停后脑保护认知及实践现况调查[J]. 中国急救医学, 2022, 42: 845-849. https://www.cnki.com.cn/Article/CJFDTOTAL-ZJJY202210004.htm
    [3]
    Ravindran R, Kwok CS, Wong CW, et al. Cardiac arrest and related mortality in emergency departments in the United States: Analysis of the nationwide emergency department sample[J]. Resuscitation, 2020, 157: 166-173. DOI: 10.1016/j.resuscitation.2020.10.005
    [4]
    Yan S, Gan Y, Jiang N, et al. The global survival rate among adult out-of-hospital cardiac arrest patients who received cardiopulmonary resuscitation: a systematic review and meta-analysis[J]. Crit Care, 2020, 24: 61. DOI: 10.1186/s13054-020-2773-2
    [5]
    Wong CX, Brown A, Lau DH, et al. Epidemiology of Sudden Cardiac Death: Global and Regional Perspectives[J]. Heart Lung Circ, 2019, 28: 6-14. DOI: 10.1016/j.hlc.2018.08.026
    [6]
    Andersen LW, Holmberg MJ, Berg KM, et al. In-Hospital Cardiac Arrest: A Review[J]. JAMA, 2019, 321: 1200-1210. DOI: 10.1001/jama.2019.1696
    [7]
    Mir T, Qureshi WT, Uddin M, et al. Predictors and outcomes of cardiac arrest in the emergency department and in-patient settings in the United States(2016-2018)[J]. Resuscitation, 2022, 170: 100-106. DOI: 10.1016/j.resuscitation.2021.11.009
    [8]
    Wang MT, Huang WC, Yen DH, et al. The Potential Risk Factors for Mortality in Patients After In-Hospital Cardiac Arrest: A Multicenter Study[J]. Front Cardiovasc Med, 2021, 8: 630102. DOI: 10.3389/fcvm.2021.630102
    [9]
    Bergum D, Haugen BO, Nordseth T, et al. Recognizing the causes of in-hospital cardiac arrest--A survival benefit[J]. Resuscitation, 2015, 97: 91-96. DOI: 10.1016/j.resuscitation.2015.09.395
    [10]
    Ebell MH, Afonso AM. Pre-arrest predictors of failure to survive after in-hospital cardiopulmonary resuscitation: a meta-analysis[J]. Fam Pract, 2011, 28: 505-515. DOI: 10.1093/fampra/cmr023
    [11]
    Sjoding MW, Luo K, Miller MA, et al. When do confounding by indication and inadequate risk adjustment bias critical care studies? A simulation study[J]. Crit Care, 2015, 19: 195. DOI: 10.1186/s13054-015-0923-8
    [12]
    Fouche PF, Carlson JN, Ghosh A, et al. Frequency of adjustment with comorbidity and illness severity scores and indices in cardiac arrest research[J]. Resuscitation, 2017, 110: 56-73. DOI: 10.1016/j.resuscitation.2016.10.020
    [13]
    Charlson ME, Carrozzino D, Guidi J, et al. Charlson Comorbidity Index: A Critical Review of Clinimetric Properties[J]. Psychother Psychosom, 2022, 91: 8-35. DOI: 10.1159/000521288
    [14]
    Andrew E, Nehme Z, Bernard S, et al. The influence of comorbidity on survival and long-term outcomes after out-of-hospital cardiac arrest[J]. Resuscitation, 2017, 110: 42-47. DOI: 10.1016/j.resuscitation.2016.10.018
    [15]
    Hirlekar G, Jonsson M, Karlsson T, et al. Comorbidity and survival in out-of-hospital cardiac arrest[J]. Resuscitation, 2018, 133: 118-123. DOI: 10.1016/j.resuscitation.2018.10.006
    [16]
    Jentzer JC, Anavekar NS, Mankad SV, et al. Changes in left ventricular systolic and diastolic function on serial echocardiography after out-of-hospital cardiac arrest[J]. Resuscitation, 2018, 126: 1-6. DOI: 10.1016/j.resuscitation.2018.01.050
    [17]
    Andersen LW, Kim WY, Chase M, et al. The prevalence and significance of abnormal vital signs prior to in-hospital cardiac arrest[J]. Resuscitation, 2016, 98: 112-117. DOI: 10.1016/j.resuscitation.2015.08.016
    [18]
    Burstein B, Vallabhajosyula S, Ternus B, et al. The Prognostic Value of Lactate in Cardiac Intensive Care Unit Patients With Cardiac Arrest and Shock[J]. Shock, 2021, 55: 613-619.
    [19]
    Schurr JW, Noubani M, Santore LA, et al. Survival and Outcomes After Cardiac Arrest With VA-ECMO Rescue Therapy[J]. Shock, 2021, 56: 939-947.
    [20]
    Soar J, Böttiger BW, Carli P, et al. European Resuscitation Council Guidelines 2021: Adult advanced life support[J]. Resuscitation, 2021, 161: 115-151.
    [21]
    付阳阳, 刘丹瑜, 金魁, 等. 关于机械通气对心肺复苏患者通气效果的回顾性研究[J]. 临床急诊杂志, 2019, 20: 343-347. https://www.cnki.com.cn/Article/CJFDTOTAL-ZZLC201905002.htm
    [22]
    Wang HE, Schmicker RH, Daya MR, et al. Effect of a Strategy of Initial Laryngeal Tube Insertion vs Endotracheal Intubation on 72-Hour Survival in Adults With Out-of-Hospital Cardiac Arrest: A Randomized Clinical Trial[J]. JAMA, 2018, 320: 769-778.
    [23]
    Nadolny K, Bujak K, Obremska M, et al. Glasgow Coma Scale score of more than four on admission predicts in-hospital survival in patients after out-of-hospital cardiac arrest[J]. Am J Emerg Med, 2021, 42: 90-94.
    [24]
    Rhodes A, Evans LE, Alhazzani W, et al. Surviving Sepsis Campaign: International Guidelines for Management of Sepsis and Septic Shock: 2016[J]. Intensive Care Med, 2017, 43: 304-377.
    [25]
    Sacha GL, Lam SW, Wang L, et al. Association of Catecholamine Dose, Lactate, and Shock Duration at Vasopres-sin Initiation With Mortality in Patients With Septic Shock[J]. Crit Care Med, 2022, 50: 614-623.
    [26]
    Russell JA, Gordon AC, Williams MD, et al. Vasopressor Therapy in the Intensive Care Unit[J]. Semin Respir Crit Care Med, 2021, 42: 59-77.
  • Cited by

    Periodical cited type(3)

    1. 王晓宁,孙家安,王燕,段浩朋. 血清CitH3、PCT及IL-10检测对体外心肺复苏后急性肺损伤的预测价值. 西南医科大学学报. 2025(01): 58-62 .
    2. 潘蕊,乔秋杰,曾江楠,叶廷林,罗瑞琪,刘玉. 基于JAK2-STAT3信号通路探讨热毒宁注射液治疗大鼠急性肺损伤的作用机制. 陕西中医. 2024(08): 1021-1025 .
    3. 白媛媛,王变利,张会敏,闫雪生. 青蒿在猪养殖业中的研究进展. 粮食与饲料工业. 2024(05): 60-62+75 .

    Other cited types(0)

Catalog

    Article Metrics

    Article views (358) PDF downloads (76) Cited by(3)
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return
    x Close Forever Close