Predictors of hyperkalemia in pediatric patients on dialysis: international prospective observational study


Paglialonga F., Shroff R., Zagozdzon I., BAKKALOĞLU EZGÜ S. A., Zaloszyc A., Jankauskiene A., ...More

Pediatric nephrology (Berlin, Germany), vol.40, no.8, pp.2611-2618, 2025 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 40 Issue: 8
  • Publication Date: 2025
  • Doi Number: 10.1007/s00467-025-06717-1
  • Journal Name: Pediatric nephrology (Berlin, Germany)
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, BIOSIS, CAB Abstracts, CINAHL, MEDLINE, Veterinary Science Database
  • Page Numbers: pp.2611-2618
  • Keywords: Children, Dialysis, Hyperkalemia, Potassium intake, RAAS inhibitors
  • Gazi University Affiliated: Yes

Abstract

BACKGROUND: Hyperkalemia is an important issue in kidney failure. The aim of the study was to investigate the predictors of hyperkalemia in children receiving maintenance dialysis. METHODS: This was an international prospective cross-sectional observational study involving patients < 18 years receiving chronic hemodialysis or peritoneal dialysis. Hyperkalemia was defined as serum potassium (sK+) ≥ 5 mEq/L based on the Pediatric Renal Nutrition Taskforce recommendations. We recorded age, dialysis vintage, urine output (24-h urine collection); dietary K+, energy, protein and sodium intake (three-day diaries); office blood pressure (BP) in children < 5 years and 24-h ABPM in older patients; biochemistry (creatinine, urea, sodium, bicarbonate, hemoglobin, phosphate, albumin) and antihypertensive drugs. RESULTS: Forty-one patients were enrolled (10 peritoneal dialysis, 31 hemodialysis), median age 13.3 (IQR 10.6-15.8) years; 15 of them (36.6%) showed hyperkalemia, and median sK+ was 4.7 (4.4-5.0) mEq/L. Renin-angiotensin-aldosterone system inhibitors (RAASi) were prescribed in 9/15 patients with hyperkalemia (60%) and 7/26 (26.9%) without hyperkalemia (p = 0.04). Patients with hyperkalemia were older and had higher urea and creatinine than those with normal sK+. A backward stepwise multivariable model showed that the only predictors of hyperkalemia were age (b = 0.53, p = 0.01), urea (b = 0.02, p = 0.03) and treatment with RAASi (b = 2.75, p = 0.021). CONCLUSIONS: While higher age, higher urea levels and treatment with RAASi independently predicted the occurrence of hyperkalemia, K+ intake was not associated with sK+ in children on dialysis. This emphasizes the importance of considering non-dietary causes of hyperkalemia and considering the bioavailability of K+ more than the total dietary K+ intake.