Penerapan Metode Regresi Logistik Biner untuk Analisis Faktor Penyebab Kematian Pasien Gagal Jantung

Abstract

Background: Heart failure is a condition where the heart is unable to pump blood effectively throughout the body. This condition can cause serious complications, including death, so it is important to know the factors that influence death in heart failure patients. Objective: This study aims to identify factors that influence death in heart failure patients. Method: This study used a binary logistic regression method. The analysis was carried out simultaneously using the G test to assess the model fit and partially using the Wald test to test the significance of each parameter. In addition, descriptive analysis was also carried out on the data. The data used were secondary data with a total of 299 patients. Results: Of the 299 patients, 203 patients did not die and 96 patients died. Based on the results of the analysis, the logistic regression model was obtained: ln⁡[π(x)/(1-π(x) )]=8,528-0,069X1+0,016X2-0,301X3+0,31X4+0,056X5-0,064X6-0,076X7 With a statistical value of G test of 56,158. The results of the Wald test showed that the variables of age, ejection fraction, and serum sodium significantly influenced mortality in heart failure patients. Conclusion: Age, ejection fraction, and serum sodium levels are factors that significantly influence the risk of death in heart failure patients