Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study.
Clinical characteristics and prognostic factors of COVID-19 patients progression to severe: a retrospective, observational study.
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DOI：
10.18632/aging.103931
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发表时间：
2020-10-14
期刊：
影响因子：
--
通讯作者：
Sun H
中科院分区：
文献类型：
--
作者：
Liao Y;Feng Y;Wang B;Wang H;Huang J;Wu Y;Wu Z;Chen X;Yang C;Fu X;Sun H
2019冠状病毒病（COVID-19）爆发已成为全球性紧急事件。COVID-19的严重程度与其死亡率高度相关。我们的目的是披露严重COVID-19患者的临床特征和预后因素。该研究纳入了江汉方仓方舱医院的轻中度COVID-19病例（no=1848）。共有56例患者从轻度或中度进展为重度。我们使用最小绝对收缩和选择算子回归模型来选择该模型的预后因素。方舱医院重症发生率为3.6%。他们入院时都有症状。发热、咳嗽和疲劳是最常见的症状。高血压、糖尿病和冠心病是常见的合并症。预测诺模图中包含的预测因子包括发热、峰值温度分布（>38°C）、肌痛或关节痛和C-反应蛋白分布（≥10 mg/L）。体温峰值（>38°C）的分布、肌痛或关节痛和C反应蛋白（≥10 mg/L）是识别轻中度COVID-19患者进展的预后因素。及早关注这些风险因素将有助于缓解COVID-19的进展。
The outbreak of coronavirus disease 2019 (COVID-19) has become a world-wide emergency. The severity of COVID-19 is highly correlated with its mortality rate. We aimed to disclose the clinical characteristics and prognostic factors of COVID-19 patients who developed severe COVID-19. The study enrolled cases (no=1848) with mild or moderate type of COVID-19 in Fangcang shelter hospital of Jianghan. A total of 56 patients progressed from mild or moderate to severe. We used least absolute shrinkage and selection operator regression model to select prognostic factors for this model. The case-severity rate was 3.6% in the shelter hospital. They were all symptomatic at admission. Fever, cough, and fatigue were the most common symptoms. Hypertension, diabetes and coronary heart diseases were common co-morbidities. Predictors contained in the prediction nomogram included fever, distribution of peak temperature (>38°C), myalgia or arthralgia and distribution of C-reactive protein (≥10 mg per L). The distribution of peak temperature (>38°C) on set, myalgia or arthralgia and C-reactive protein (≥10 mg per L) were the prognostic factors to identify the progression of COVID-19 patients with mild or moderate type. Early attention to these risk factors will help alleviate the progress of the COVID-19.
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