EconPapers    
Economics at your fingertips  
 

Predictors for Early and Late Death in Adult Patients with COVID-19: A Cohort Study

Yung-Feng Yen, Shang-Yih Chan, Chu-Chieh Chen and Chung-Yeh Deng
Additional contact information
Yung-Feng Yen: Section of Infectious Diseases, Taipei City Hospital, Taipei 10341, Taiwan
Shang-Yih Chan: Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan
Chu-Chieh Chen: Department of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan
Chung-Yeh Deng: Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei 30010, Taiwan

IJERPH, 2022, vol. 19, issue 6, 1-7

Abstract: The timing of death in patients with coronavirus disease 2019 (COVID-19) varied by their comorbidities and severity of illness. However, few studies have determined predictors of mortality with respect to the timing of death in infectious patients. This cohort study aimed to identify the factors associated with early and late death in hospitalized COVID-19 patients. From 14 May to 31 July 2021, this study consecutively recruited laboratory-confirmed COVID-19 patients admitted to Taipei City Hospital. All patients with COVID-19 were followed up until death or discharge from the hospital or till 13 August 2021. Mortality in such patients was categorized as early death (death within the first two weeks of hospitalization) or late death (mortality later than two weeks after hospitalization), based on the timing of death. Multinomial logistic regression was used to determine the factors associated with early and late death among such patients. Of 831 recruited patients, the overall mean age was 59.3 years, and 12.2% died during hospitalization. Of the 101 deceased, 66 (65.3%) and 35 (34.7%) died early and late, respectively. After adjusting for demographics and comorbidities, independent predictors for early death included age ≥ 65 years (adjusted odds ratio (AOR) = 5.27; 95% confidence interval (CI): 2.88–9.65), heart failure (AOR = 10.32; 95% CI: 2.28–46.65), and end-stage renal disease (AOR = 11.97; 95% CI: 3.53–40.55). This study found that two thirds of COVID-19 deaths occurred within two weeks of hospitalization. It suggests that hospitalized patients with COVID-19 should be treated carefully and monitored closely for the progression of clinical conditions during treatment, particularly in older patients and in those with comorbidities.

Keywords: COVID-19; mortality; timing of death; prospective study (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/6/3357/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/6/3357/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:6:p:3357-:d:769891

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jijerp:v:19:y:2022:i:6:p:3357-:d:769891