Sci Rep. 2026 Jun 3. doi: 10.1038/s41598-026-55290-6. Online ahead of print.
ABSTRACT
Electrolyte abnormalities commonly complicate heart failure management, yet their prognostic significance and optimal monitoring strategies remain incompletely characterized. We examined the prevalence, temporal patterns, and clinical outcomes associated with electrolyte abnormalities in hospitalized heart failure patients. Retrospective cohort study of 30,678 heart failure patients (80,408 admissions) from the MIMIC-IV database (2008-2022). Clinically significant electrolyte abnormalities (CSEA) were defined as patients whose potassium remained consistently < 3.5 or > 5.0 mEq/L, or whose sodium remained consistently < 135 or > 145 mEq/L throughout all measurements during hospitalization. Primary outcomes were 30-day all-cause readmission and mortality. We developed a clinical risk score incorporating electrolyte abnormalities and examined temporal electrolyte patterns. CSEA occurred in 950 patients (3.1%) in the full cohort, of whom 713 (2.3%) survived to discharge and constituted the primary analysis cohort for post-discharge outcomes. Patients with abnormalities had paradoxically lower 30-day readmission (3.9% vs 15.3%; adjusted HR 0.29, 95% CI 0.21-0.40) but substantially higher mortality (15.4% vs 7.0%; adjusted HR 1.93, 95% CI 1.57-2.38), reflecting competing mortality risk. Individual electrolyte abnormalities were independently associated with mortality: hypokalemia HR 1.45 (1.28-1.65), hyperkalemia HR 1.67 (1.48-1.89), hyponatremia HR 1.34 (1.19-1.51). Temporal analysis revealed biphasic patterns-initial correction followed by recurrence-identified the highest-risk subset (composite event rates 27.6% for potassium, 28.5% for sodium). A five-variable risk score (electrolyte abnormality, age ≥ 75, chronic kidney disease, multiple admissions, coronary artery disease) achieved C-statistic 0.593. CSEA are independently associated with mortality in heart failure patients despite paradoxically lower readmission rates due to competing risks. Biphasic electrolyte patterns identify particularly high-risk patients. Simple risk stratification using routinely collected electrolyte data may enhance post-discharge risk prediction and inform targeted monitoring strategies.
PMID:42236834 | DOI:10.1038/s41598-026-55290-6
