[Prognostic scale for in-hospital mortality in patients with COVID-19 viral pneumonia].

Carlos José Molina-Pérez, María Guadalupe Berumen-Lechuga, Alfredo Leaños-Miranda, Eduardo Rafael Sánchez-Mejía, Víctor Gasca-Martínez, Jacqueline Fernández-Méndez
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Abstract

Background: The COVID-19 pandemic represented a challenge in medical care. A tool would be very useful to establish the prognosis of in-hospital death that is reliable and can be applied to the Mexican population entitled to the IMSS.

Objective: To propose a prognostic scale to stratify patients with viral pneumonia COVID-19 in the emergency services.

Material and methods: A nested case-control study was conducted in a cohort of patients who were consecutively admitted to the emergency department with viral pneumonia COVID-19. The cases were those patients who died, and the controls were those who were discharged due to health improvement. An association analysis was performed between the variables with significant differences between groups. Subsequently, the association was adjusted using a multivariate logistic regression model, from which the prognostic scale was developed.

Results: A total of 70 subjects with COVID-19 were included, 34 cases and 36 controls. Chronic diseases, smoking, severe pulmonary involvement diagnosed by tomography, leukocytosis, and pulse oximetry less than 80% with were associated with in-hospital mortality; Odds Ratio (OR) of >1.1. Vaccination was a protective factor (OR = 0.04, CI95%: 0.01-0.16). A score greater than 3 points on the prognostic scale predicts in-hospital mortality with a specificity of 0.86 and a sensitivity of 0.73.

Conclusions: The proposed prognostic scale can be a useful tool in the classification of patients with COVID-19 viral pneumonia in the emergency room services of secondary care level Hospitals.

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[新型冠状病毒肺炎住院死亡率预后量表]。
背景:2019冠状病毒病大流行对医疗保健提出了挑战。有一种工具将非常有用,可用于确定可靠的住院死亡预后,并可适用于有权享受IMSS的墨西哥人口。目的:提出一种对急诊COVID-19病毒性肺炎患者进行预后分级的量表。材料与方法:采用巢式病例-对照研究,选取连续入住急诊科的病毒性肺炎COVID-19患者为研究对象。病例是那些死亡的病人,对照组是那些因健康改善而出院的病人。对组间差异显著的变量进行关联分析。随后,使用多变量逻辑回归模型调整相关性,并据此制定预后量表。结果:共纳入新冠肺炎患者70例,其中病例34例,对照组36例。慢性疾病、吸烟、经断层扫描诊断的严重肺部受累、白细胞增多和脉搏血氧饱和度低于80%与住院死亡率相关;比值比(OR) >1.1。接种疫苗是保护因素(OR = 0.04, CI95%: 0.01-0.16)。预后评分大于3分,预测住院死亡率的特异性为0.86,敏感性为0.73。结论:所建立的预后量表可作为二级医院急诊室COVID-19病毒性肺炎患者分类的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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