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利用韩国国家数据评估症状组合与 COVID-19 患者院内死亡率的相关性。

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

机构信息

Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul, Korea.

Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Korea.

出版信息

PLoS One. 2022 Aug 26;17(8):e0273654. doi: 10.1371/journal.pone.0273654. eCollection 2022.

Abstract

BACKGROUND

There 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.

METHODS

Data 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.

RESULTS

Three 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).

CONCLUSIONS

The 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.

摘要

背景

新型冠状病毒病 2019(COVID-19)患者的死亡存在多种危险因素。已对症状对死亡的影响进行了研究,但症状是作为单一因素进行考虑的,而不是作为预测因素进行组合考虑。我们研究了症状组合对住院死亡率的影响。

方法

分析了韩国疾病控制与预防署的数据。对韩国 5153 名确诊 COVID-19 患者的队列进行了随访,从住院到死亡或出院。采用探索性因子分析确定症状组合,并用 Cox 比例风险模型估计死亡的风险比(HR)。

结果

分离出三组症状因素作为症状组合。因素 1 症状为类似感冒的症状,因素 2 为神经系统和胃肠道症状,因素 3 为更严重的症状,如呼吸困难和意识状态改变。因素 1(HR 1.14,95%置信区间[95%CI]1.01-1.30)和因素 3(HR 1.25,95%CI 1.19-1.31)与死亡风险增加相关,而因素 2 与死亡风险降低相关(HR 0.71,95%CI 0.71-0.96)。

结论

根据症状组合,对住院死亡率的影响有所不同。这些结果证明了症状对 COVID-19 死亡率的影响,并可能有助于降低 COVID-19 的死亡率。需要进一步研究以确定症状组合对死亡率影响的生物学机制。

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