IMR Press / RCM / Volume 24 / Issue 2 / DOI: 10.31083/j.rcm2402055
Open Access Original Research
Identifying Risk Factors for Prolonged Length of Stay in Hospital and Developing Prediction Models for Patients with Cardiac Arrest Receiving Targeted Temperature Management
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1 Department of Neurology, Taipei Medical University - Shuang Ho Hospital, 235 New Taipei City, Taiwan
2 Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, 110 Taipei, Taiwan
3 Division of Critical Care Medicine, Department of Emergency and Critical Care Medicine, Taipei Medical University - Shuang Ho Hospital, 235 New Taipei City, Taiwan
4 Health Informatics Department, Public Health Informatics Foundation, 1216 Dhaka, Bangladesh
5 Department of Critical Care Medicine, MacKay Memorial Hospital, 104 Taipei Branch, Taiwan
6 Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, 704 Tainan, Taiwan
7 Department of Critical Care Medicine, Taipei Veterans General Hospital, National Yang-Ming University, 112 Taipei, Taiwan
8 Coronary Care Unit, Cardiovascular Center, Cathay General Hospital, 106 Taipei, Taiwan
*Correspondence: 10670@s.tmu.edu.tw (Chen-Chih Chung)
These authors contributed equally.
Rev. Cardiovasc. Med. 2023, 24(2), 55; https://doi.org/10.31083/j.rcm2402055
Submitted: 3 October 2022 | Revised: 11 December 2022 | Accepted: 4 January 2023 | Published: 6 February 2023
Copyright: © 2023 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Background: Prolonged length of stay (LOS) following targeted temperature management (TTM) administered after cardiac arrest may affect healthcare plans and expenditures. This study identified risk factors for prolonged LOS in patients with cardiac arrest receiving TTM and explored the association between LOS and neurological outcomes after TTM. Methods: The retrospective cohort consisted of 571 non-traumatic cardiac arrest patients aged 18 years or older, treated with cardiopulmonary resuscitation (CPR), had a Glasgow Coma Scale score <8, or were unable to comply with commands after the restoration of spontaneous circulation (ROSC), and received TTM less than 12 hours after ROSC. Prolonged LOS was defined as LOS beyond the 75th quartile of the entire cohort. We analyzed and compared relevant variables and neurological outcomes between the patients with and without prolonged LOS and established prediction models for estimating the risk of prolonged LOS. Results: The patients with in-hospital cardiac arrest had a longer LOS than those with out-of-hospital cardiac arrest (p = 0.0001). Duration of CPR (p = 0.02), underlying heart failure (p = 0.001), chronic obstructive pulmonary disease (p = 0.008), chronic kidney disease (p = 0.026), and post-TTM seizures (p = 0.003) were risk factors for prolonged LOS. LOS was associated with survival to hospital discharge, and patients with the lowest and highest Cerebral Performance Category scores at discharge had a shorter LOS. A logistic regression model based on parameters at discharge achieved an area under the curve of 0.840 to 0.896 for prolonged LOS prediction, indicating the favorable performance of this model in predicting LOS in patients receiving TTM. Conclusions: Our study identified clinically relevant risk factors for prolonged LOS following TTM and developed a prediction model that exhibited adequate predictive performance. The findings of this study broaden our understanding regarding factors associated with hospital stay and can be beneficial while making clinical decisions for patients with cardiac arrest who receive TTM.

Keywords
cardiac arrest
hypothermia
IHCA
length of stay
OHCA
outcome
prediction
targeted temperature management
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Funding
TMU111-AE1-B23/Taipei Medical University
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