Abstract: PUB563
Hyperkalemia and CKD
Session Information
Category: CKD (Non-Dialysis)
- 2301 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- Perez-Navarro, L. Monserrat, Hospital General de Mexico Dr Eduardo Liceaga, Ciudad de Mexico, Ciudad de Mexico, Mexico
- Robiou Vivero, Enrique José Antonio, Hospital General de Mexico Dr Eduardo Liceaga, Ciudad de Mexico, Ciudad de Mexico, Mexico
- Valdez-Ortiz, Rafael, Hospital General de Mexico Dr Eduardo Liceaga, Ciudad de Mexico, Ciudad de Mexico, Mexico
Background
Hyperkalemia (HK) is a frequent complication of chronic kidney disease (CKD), with a prevalence of between 14-20%, which is associated with different factors, such as the use of some antihypertensives (ARA's, IECAS), age, gender, Diabetes Mellitus (DM), cancer. Our aim was to determine the prevalence and factors associated with HK in patients with CKD.
Methods
Transversal study. Patients with CKD who attended the nephrology service of the Hospital General de México during the period Feb 2019 to August 2022 were included. The prevalence and factors associated with HK (K>5) by CKD stage were estimated using regression logistics (95% CI).
Results
1249 patients were included, with an average age of 55±16 years; 52% of the population female. The prevalence of HK was 26% (321). The standardized B coefficient for the relationship between serum levels and GFR was -0.334, (p<0.0001). Figure 1 shows the prevalence of HK by severity grade across CKD stages.
The factors associated with HK are presented in Figure 2.
Conclusion
An association between HK and the use of commonly prescribed medications, such as oral hypoglycemics and loop diuretics, was identified from the early stages of CKD, along with the presence of diabetes mellitus.
It is necessary to intentionally screen for HK from the early stages of CKD and to implement pharmacological treatment with the aim of reducing the risk of CKD progression, death, and cardiovascular events.
Figure 1. Prevalence of HK by severity grade across CKD stages
Figure 2. Factors associated with HK