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

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.