Survival analysis in heart failure patient using the Kaplan Meier methods

Heart failure is one of the biggest health problems worldwide, causing increased mortality, morbidity, and financial problems, especially in elderly patients. Survival analysis is a collection of statistical methods used to answer questions relating to whether and when an event occurs. The Kaplan-Meier method is a nonparametric estimation method in survival functions that is commonly used to describe the survival of a population or compare the survival of two or more populations. This study aims to estimate the survival of a patient with heart failure. The data for this study was obtained from the BMC Chicco and Jurman Medical Informatics and Decision Making website in 2020. The data consisted of medical records of 299 patients diagnosed with heart failure during the follow-up period of the study. Based on the results of the analysis, it was found that the results of the calculation of the product limit estimator or Kaplan-Meier and the survival plot of Heart Failure patients who survived for 4 days had a greater chance of survival than Heart Failure patients who survived for 285 days. In addition, based on the analysis, heart failure patients with male gender have a higher estimated average survival than heart failure patients with female gender. This cannot escape the influence of various factors. Therefore, this study is expected to help develop more effective treatment strategies and provide more accurate predictions regarding the prognosis of Heart Failure patients.