Evidence map›Paper›PMID 36018890›Full record

ArticlePloS one2022

Associations of symptom combinations with in-hospital mortality of coronavirus disease-2019 patients using South Korean National data.

Suyoung Jo, Hee-Kyoung Nam, Heewon Kang, Sung-Il Cho

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Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Suyoung JoDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Hee-Kyoung NamInstitute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Korea.
Heewon KangInstitute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Korea.ORCID 0000-0002-1519-5678
Sung-Il ChoDepartment of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.ORCID 0000-0003-4085-1494

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are various risk factors for death in coronavirus disease-2019 (COVID-19) patients. The effects of symptoms on death have been investigated, but symptoms were considered individually, rather than in combination, as predictors. We examined the effects of symptom combinations on in-hospital mortality.

methodsData from the Korea Disease Control and Prevention Agency were analyzed. A cohort of 5,153 patients confirmed with COVID-19 in South Korea was followed from hospitalization to death or discharge. An exploratory factor analysis was performed to identify symptom combinations, and the hazard ratios (HRs) of death were estimated using the Cox proportional hazard model.

resultsThree sets of symptom factors were isolated for symptom combination. Factor 1 symptoms were cold-like symptoms, factor 2 were neurological and gastrointestinal symptoms, and factor 3 were more severe symptoms such as dyspnea and altered state of consciousness. Factor 1 (HR 1.14, 95% confidence interval [95% CI] 1.01-1.30) and factor 3 (HR 1.25, 95% CI 1.19-1.31) were associated with a higher risk for death, and factor 2 with a lower risk (HR 0.71, 95% CI 0.71-0.96).

conclusionsThe effect on in-hospital mortality differed according to symptom combination. The results are evidence of the effects of symptoms on COVID-19 mortality and may contribute to lowering the COVID-19 mortality rate. Further study is needed to identify the biological mechanisms underlying the effects of symptom combinations on mortality.

Indexed as

CoronavirusCOVID-19HospitalizationHospital MortalityHumansRetrospective StudiesRisk Factors

Identifiers

PMID36018890
PMCPMC9417015

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