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尼日利亚卡诺隔离中心一项回顾性队列研究:COVID-19 住院患者在大流行第一波和第二波期间的死亡决定因素。

Determinants of mortality among hospitalized patients with COVID-19 during first and second waves of the pandemic: A retrospective cohort study from an isolation center in Kano, Nigeria.

机构信息

Department of Medicine, Infectious Disease Hospital, Kano, Kano State, Nigeria.

Department of Medicine, Kwanar Dawaki Isolation Center, Kano, Kano State, Nigeria.

出版信息

PLoS One. 2023 Feb 6;18(2):e0281455. doi: 10.1371/journal.pone.0281455. eCollection 2023.

DOI:10.1371/journal.pone.0281455
PMID:36745658
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9901798/
Abstract

BACKGROUND

Coronavirus disease 2019 (COVID-19) has emerged as an important cause of morbidity and mortality worldwide. The aim of this study is to identify the clinical predictors of mortality among patients with COVID-19 pneumonia during first and second waves in a treatment center in northwestern Nigeria.

METHODS

This was a retrospective cohort study of 195 patients hospitalized with COVID-19 between April 2020 to March 2021 at a designated COVID-19 isolation center in Kano State, Northwest Nigeria. Data were summarized using frequencies and percentages. Unadjusted odds ratios and 95% confidence intervals and p-values were obtained. To determine independent determinants of mortality, we performed a stepwise multivariate logistic regression model.

RESULTS

Of 195 patients studied, 21(10.77%) patients died. Males comprised 158 (81.03%) of the study population. In the adjusted stepwise logistic regression analysis, age>64 years (OR = 9.476, 95% CI: 2.181-41.165), second wave of the pandemic (OR = 49.340, 95% CI:6.222-391.247), cardiac complications (OR = 24.984, 95% CI: 3.618-172.508), hypertension (OR = 5.831, 95% CI:1.413-24.065) and lowest systolic blood pressure while on admission greater than or equal to 90mmHg were independent predictors of mortality (OR = 0.111, 95%CI: 0.021-0.581).

CONCLUSION

Strategies targeted to prioritize needed care to patients with identified factors that predict mortality might improve patient outcome.

摘要

背景

2019 年冠状病毒病(COVID-19)已成为全球发病率和死亡率的重要原因。本研究的目的是确定尼日利亚西北部一家治疗中心 COVID-19 肺炎患者在第一波和第二波疫情中的死亡临床预测因素。

方法

这是一项回顾性队列研究,纳入了 2020 年 4 月至 2021 年 3 月期间在尼日利亚西北部卡诺州指定的 COVID-19 隔离中心住院的 195 例 COVID-19 患者。数据采用频率和百分比进行总结。获得未经调整的优势比和 95%置信区间和 p 值。为了确定死亡率的独立决定因素,我们进行了逐步多变量逻辑回归模型分析。

结果

在研究的 195 例患者中,有 21 例(10.77%)患者死亡。男性占研究人群的 158 例(81.03%)。在调整后的逐步逻辑回归分析中,年龄>64 岁(OR=9.476,95%CI:2.181-41.165)、第二波大流行(OR=49.340,95%CI:6.222-391.247)、心脏并发症(OR=24.984,95%CI:3.618-172.508)、高血压(OR=5.831,95%CI:1.413-24.065)和入院时收缩压最低且大于或等于 90mmHg 是死亡的独立预测因素(OR=0.111,95%CI:0.021-0.581)。

结论

针对具有预测死亡率的特定因素的患者,优先提供必要的护理的策略可能会改善患者的预后。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/9901798/27e8b1100ecc/pone.0281455.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/9901798/27e8b1100ecc/pone.0281455.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da3d/9901798/27e8b1100ecc/pone.0281455.g001.jpg

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