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RESEARCH PRODUCT

Long-Term Potassium Monitoring and Dynamics in Heart Failure and Risk of Mortality

Oliver HusserJosé Luis GórrizAnna MollarJuan SanchisAntoni Bayes-genisArturo CarrataláJosep LupónJulio NúñezEnrique SantasPatrick RossignolMarco MetraVicent BodíFrancisco J. ChorroJorge A. R. NavarroEduardo NúñezGema MiñanaFaiez Zannad

subject

MaleHyperkalemiaPotassiumheart failure030204 cardiovascular system & hematology0302 clinical medicinecohort studiesCause of DeathRisk of mortalitylongitudinal studies030212 general & internal medicineProspective StudiesAged 80 and overpotassiumHazard ratioMiddle AgedPrognosisHypokalemiaCardiologyFemalemedicine.symptomCardiology and Cardiovascular Medicineacute heart failure; heart failure; hyperkalemia; hypokalemia; longitudinal cohort study; mortality; potassiumGlomerular Filtration RateRiskmedicine.medical_specialtyacute heart failurechemistry.chemical_elementHypokalemia03 medical and health sciencesPhysiology (medical)Internal medicinehypokalemiamedicineHumansIntensive care medicineAgedProportional Hazards ModelsHeart Failurebusiness.industryProportional hazards modellongitudinal cohort studyhyperkalemiamedicine.diseasemortalitySurvival AnalysisConfidence intervalchemistryHeart failurePotassiumPotentiometryHyperkalemiabusiness

description

Background: The prognostic value of long-term potassium monitoring and dynamics in heart failure has not been characterized completely. We sought to determine the association between serum potassium values collected at follow-up with all-cause mortality in a prospective and consecutive cohort of patients discharged from a previous acute heart failure admission. Methods: Serum potassium was measured at every physician-patient encounter, including hospital admissions and ambulatory settings. The multivariable-adjusted association of serum potassium with mortality was assessed by using comprehensive state-of-the-art regression methods that can accommodate time-dependent exposure modeling. Results: The study sample included 2164 patients with a total of 16 116 potassium observations. Mean potassium at discharge was 4.3±0.48 mEq/L. Hypokalemia (<3.5 mEq/L), normokalemia (3.5–5.0 mEq/L), and hyperkalemia (>5 mEq/L) were observed at the index admission in 77 (3.6%), 1965 (90.8%), and 122 (5.6%) patients, respectively. At a median follow-up of 2.8 years (range, 0.03–12.8 years), 1090 patients died (50.4%). On a continuous scale, the multivariable-adjusted association of potassium values and mortality revealed a nonlinear association (U-shaped) with higher risk at both ends of its distribution (omnibus P =0.001). Likewise, the adjusted hazard ratios for hypokalemia and hyperkalemia, normokalemia as reference, were 2.35 (95% confidence interval, 1.40–3.93; P =0.001) and 1.55 (95% confidence interval, 1.11–2.16; P =0.011), respectively (omnibus P =0.0003). Furthermore, dynamic changes in potassium were independently associated with substantial differences in mortality risk. Potassium normalization was independently associated with lower mortality risk ( P =0.001). Conclusions: Either modeled continuously or categorically, serum potassium levels during long-term monitoring were independently associated with mortality in patients with heart failure. Likewise, persistence of abnormal potassium levels was linked to a higher risk of death in comparison with patients who maintained or returned to normal values.

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