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儿科患者 COVID-19 严重程度与社会人口学、临床和实验室特征的关系。

Relationship between sociodemographic, clinical, and laboratory characteristics and severity of COVID-19 in pediatric patients.

机构信息

Department of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States of America.

Pediatric Pneumology Department, Caja de Salud de la Banca Privada, La Paz, Bolivia.

出版信息

PLoS One. 2024 May 7;19(5):e0283037. doi: 10.1371/journal.pone.0283037. eCollection 2024.

DOI:10.1371/journal.pone.0283037
PMID:38713667
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11075884/
Abstract

COVID-19 affects children less seriously than adults; however, severe cases and deaths are documented. This study objective is to determine socio-demographic, clinical and laboratory indicators associated with severe pediatric COVID-19 and mortality at hospital entrance. A multicenter, retrospective, cross-sectional study was performed in 13 tertiary hospitals in Bolivia. Clinical records were collected retrospectively from patients less than 18 years of age and positive for SARS-CoV-2 infection. All variables were measured at hospital entrance; outcomes of interest were ICU admission and death. A score for disease severity was developed using a logistic regression model. 209 patients were included in the analysis. By the end of the study, 43 (20.6%) of children were admitted to the Intensive care unit (ICU), and 17 (8.1%) died. Five indicators were independently predictive of COVID-19 severity: age below 10 years OR: 3.3 (CI95%: 1.1-10.4), days with symptoms to medical care OR: 2.8 (CI95%: 1.2-6.5), breathing difficulty OR: 3.4 (CI95%: 1.4-8.2), vomiting OR: 3.3 (CI95%: 1.4-7.4), cutaneous lesions OR: 5.6 (CI95%: 1.9-16.6). Presence of three or more of these risk factors at hospital entrance predicted severe disease in COVID-19 positive children. Age, presence of underlying illness, male sex, breathing difficulty, and dehydration were predictive of death in COVID-19 children. Our study identifies several predictors of severe pediatric COVID-19 and death. Incorporating these predictors, we developed a tool that clinicians can use to identify children at high risk of severe COVID-19 in limited-resource settings.

摘要

COVID-19 对儿童的影响不如成人严重;然而,有记录表明严重病例和死亡。本研究的目的是确定与儿科 COVID-19 严重程度和入院时死亡相关的社会人口学、临床和实验室指标。在玻利维亚的 13 家三级医院进行了一项多中心、回顾性、横断面研究。从年龄小于 18 岁且 SARS-CoV-2 感染呈阳性的患者中回顾性收集临床记录。所有变量均在入院时测量;感兴趣的结局是 ICU 入院和死亡。使用逻辑回归模型开发疾病严重程度评分。共纳入 209 例患者进行分析。研究结束时,43 例(20.6%)儿童被收入重症监护病房(ICU),17 例(8.1%)死亡。有 5 个指标独立预测 COVID-19 严重程度:年龄小于 10 岁 OR:3.3(95%CI:1.1-10.4),从出现症状到就医的天数 OR:2.8(95%CI:1.2-6.5),呼吸困难 OR:3.4(95%CI:1.4-8.2),呕吐 OR:3.3(95%CI:1.4-7.4),皮肤损伤 OR:5.6(95%CI:1.9-16.6)。入院时存在上述 3 种或更多危险因素提示 COVID-19 阳性儿童患有严重疾病。年龄、存在基础疾病、男性、呼吸困难和脱水是 COVID-19 儿童死亡的预测因素。我们的研究确定了一些儿科 COVID-19 严重程度和死亡的预测因素。结合这些预测因素,我们开发了一种工具,临床医生可以在资源有限的情况下使用该工具识别患有严重 COVID-19 的高危儿童。

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