Survival analysis of Intensive Care Units (ICUs) of field hospitals in the Federal District - Brazil during the COVID 19 pandemic using Kaplan Meier curves.

Concilium Pub Date : 2024-04-13 DOI:10.53660/clm-3253-24g31

André Luiz Araújo Branquinho, Paula Lazzari Branquinho, Ananésia Correa Dos Santos, L. S. F. De Carvalho, A. A. D. S. Soares

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Abstract

The COVID-19 pandemic is one of the most impactful public health emergencies the world has ever seen. A classic epidemiological analysis tool that can be used is the Kaplan-Meier (KM) survival model, which calculates the probability of survival for a group of patients. This study aims to describe the Estimated Survival of patients admitted to the ICUs of Field Hospitals in the Federal District during the COVID 19 Pandemic. Methodology: It is a non-concurrent cohort study of patients with COVID-19 consecutively admitted to the ICUs of field hospitals. The variables collected upon admission to the ICU were evaluated using KM curves and the non-parametric log-rank test. Results: For all patients admitted to the ICUs of field hospitals, the median length of stay was 10 days. Patients have a 94.95%, 58.45% and 19.92% probability of surviving 1 day, 10 days and 30 days of hospitalization respectively. Conclusion: The Kaplan-Meier curve is a strategic tool, it provides a clear view of how long the healthcare system needs to treat a person.

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在 COVID 19 大流行期间，利用 Kaplan Meier 曲线对巴西联邦区野战医院重症监护室 (ICU) 的存活率进行分析。

COVID-19 大流行是世界上有史以来影响最大的公共卫生突发事件之一。卡普兰-梅耶（KM）生存模型是一种经典的流行病学分析工具，可用于计算一组患者的生存概率。本研究旨在描述在 COVID 19 大流行期间联邦区野战医院重症监护室收治的病人的估计存活率。研究方法：这是对连续入住野战医院重症监护室的 COVID-19 患者进行的非同期队列研究。采用 KM 曲线和非参数对数秩检验对重症监护室入院时收集的变量进行评估。结果野战医院重症监护室收治的所有患者的中位住院时间为 10 天。患者住院 1 天、10 天和 30 天的存活概率分别为 94.95%、58.45% 和 19.92%。结论是卡普兰-梅耶曲线是一种战略性工具，它能让人清楚地了解医疗系统需要多长时间来治疗一个人。

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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Concilium

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