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. 2020 Jan;24(1):44-48.
doi: 10.5005/jp-journals-10071-23327.

Single-center In-hospital Cardiac Arrest Outcomes

Affiliations

Single-center In-hospital Cardiac Arrest Outcomes

Leonard E Riley et al. Indian J Crit Care Med. 2020 Jan.

Abstract

Background: This study was designed to evaluate the patient characteristics and outcomes of in-hospital cardiac arrest (IHCA).

Materials and methods: We carried out a single-center, 5-year, retrospective chart review and analysis of resuscitation data for age, gender, body mass index (BMI), length of stay (LOS) until cardiac arrest, survival of initial IHCA, survival to hospital discharge, primary medical service, and determination of the etiology of cardiac arrest.

Results: A total of 500 cases occurred with a mean LOS of 8.5 days until the initial IHCA. Overall, 79.5% survived the initial IHCA and 32.4% survived to discharge. As LOS increased, there was an increase in the proportion of pulmonary and metabolic etiologies. Logistic regression analysis adjusting for BMI, gender, age, LOS, and primary medical service were on a surgical service significant for survival to discharge (p = 0.0007) and LOS <9 days significant for survival of IHCA (p = 0.018).

Conclusion: There are a number of causes of IHCA, and the incidence of death and respiratory related IHCA etiologies increase with LOS. Length of stay carries the highest weight when predicting survival of IHCA. Also, there is a higher rate of survival to discharge when on a primary surgical service.

How to cite this article: Riley LE, Mehta HJ, Lascano J. Single-center In-hospital Cardiac Arrest Outcomes. Indian J Crit Care Med 2020;24(1):44-48.

Keywords: Advanced life support; Cardiac arrest; Cardiopulmonary resuscitation; Causes of cardiac arrest; In-hospital cardiac arrest.

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Conflict of interest statement

Source of support: The Research reported in this publication was supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under University of Florida Clinical and Translational Science Awards UL1 TR000064 and UL1TR001427 Conflict of interest: None

Figures

Fig. 1
Fig. 1
Proportion of etiology of in-hospital cardiac arrest grouped by length of stay <9 days or ≥9 days
Figs 2A to D
Figs 2A to D
Logistic regression analysis adjusted for gender, age, body mass index, surgical service, and length of stay; (A) Actual and predicted survival to discharge; (B) Survival to discharge on surgical service; (C) Actual and predicted survival of in-hospital cardiac arrest; (D) Survival of in-hospital cardiac arrest by length of stay
Fig. 3
Fig. 3
Logistic probability plot of survival to discharge by length of stay. As length of stay increases, the probability of mortality increases (line)

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