Design of a mortality predictive scale in patients with chronic kidney disease

Introduction: The prediction of mortality in patients with chronic kidney disease using scales or prognostic indices has real limitations. Objective: Design a mortality predictive scale in patients with chronic kidney disease. Methods: A prospective observational, analytical, longitudinal study was carried out in 169 patients with chronic kidney disease from January 1, 2022 to December 31, 2022. The research was developed in 2 stages: during the first 6 months of the year, the variables were analyzed for the design of the predictive scale. In the next 6 months, patients were followed to identify the occurrence or not of the dependent variable mortality. The discriminatory capacity of the predictive scale was determined and survival curves were evaluated. Results: The variables that made up the predictive tool were age > 65 years, cardiovascular disease, albumin < 35 g/L, dyslipidemia, hemoglobin < 10 g/L, and uric acid > 390 mmol/L. The discriminatory power to predict mortality was good, C index: 0.856 (95% CI: 0.783-0.929; p< 0.001). Patients with values less than 4 points had a mean survival of 149.438 ± 7.296 days. In contrast, those with higher values presented a mean survival of 93.128 ± 8.545 days. Conclusions: The scale contributed to the stratification of the mortality risk of the patients. The variables included are easy to determine and interpret, making it a useful model for medical decision making in the current clinical setting.