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., ...Daha Fazla

PEDIATRIC NEPHROLOGY, cilt.40, sa.8, ss.2611-2618, 2025 (SCI-Expanded, Scopus) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 8
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s00467-025-06717-1
  • Dergi Adı: PEDIATRIC NEPHROLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, CINAHL, EMBASE, MEDLINE
  • Sayfa Sayıları: ss.2611-2618
  • Anahtar Kelimeler: Children, Dialysis, Hyperkalemia, Potassium intake, RAAS inhibitors
  • Gazi Üniversitesi Adresli: Evet

Özet

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.