Evidence map›Paper›PMID 35329045›Full record

ArticleInternational journal of environmental research and public health2022

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

Yung-Feng Yen, Shang-Yih Chan, Chu-Chieh Chen, Chung-Yeh Deng

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yung-Feng YenSection of Infectious Diseases, Taipei City Hospital, Taipei 10341, Taiwan.ORCID 0000-0002-4469-4732
Shang-Yih ChanDepartment of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan.
Chu-Chieh ChenDepartment of Health Care Management, National Taipei University of Nursing and Health Sciences, Taipei 11219, Taiwan.
Chung-Yeh DengInstitute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, Taipei 30010, Taiwan.

Funding

Department of Health, Taipei City Government, Taiwan No. 11101-62-042; No. 10901-62-007; No. TPCH-110-45
6 · The paper itself

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.

Indexed as

COVID-19AdultAgedCohort StudiesHospitalizationHumansMiddle AgedOdds RatioRisk FactorsCOVID-19mortalityprospective studytiming of death

Identifiers

PMID35329045
PMCPMC8954087

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.