Introduction:

Chronic kidney disease is one of the main causes of mortality worldwide. Risk stratification through the analysis of prognostic factors could generate a paradigm shift.

Objective:

To analyze the prognostic factors of mortality in patients with chronic kidney disease on hemodialysis.

Methods:

A non-experimental, longitudinal retrospective cohort study was carried out on patients with chronic kidney disease on hemodialysis at Dr. Ernesto Guevara de la Serna General Teaching Hospital from January 2017 to December 31, 2021. The prognostic factors of mortality were analyzed using multivariate binary logistic regression analysis and the correct percentage of classification of the regression model was determined.

Results:

Prognostic variables of mortality were analyzed, such as cardiovascular disease [B = 3.831; p = 0.000; Exp (B) = 46.118], albumin < 29 g/L [B = 2.839; p = 0.000; Exp (B) = 17.099], urea > 17 mmol/L [B = 1.326; p = 0.027; Exp (B) = 3.767], blood glucose < 4 mmol/L [B = 1.600; p = 0.015; Exp (B) = 4.955] and excessive interdialytic weight gain [B = 2.243; p = 0.001; Exp(B) = 9.420]. The overall classification percentage of the binary logistic regression model was 89.5%.

Conclusions:

The logistic regression predictive model was analyzed, which showed good precision with the prognostic factors associated with mortality in hemodialysis patients.

        · abstract in Spanish     · text in Spanish     · Spanish ( pdf )