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May 7, 2026JACC Asia2 citationsOpen Access

Cardio-Kidney-Metabolic Phenotypes and Adverse Clinical Outcomes in Patients With Atrial Fibrillation

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JHJung‐Chi HsuCLChih‐Kuo LeeYYYen-Yun Yang

Key Result

Cardio-kidney-metabolic phenotypes predicted all-cause mortality (aHR 1.97; 95% CI 1.89-2.06; P<0.001) and major adverse kidney events in patients with atrial fibrillation.

Key Points

  • The study aims to identify cardio-kidney-metabolic phenotypes in atrial fibrillation and their associations with clinical outcomes.
  • Retrospective cohort study of 48,810 adults with atrial fibrillation from 2014-2022
  • Patients classified by cardio-kidney-metabolic burden and phenotypes
  • Utilized multivariable Cox and Fine-Gray models for various outcomes including heart failure and mortality.
  • Cardio-kidney-metabolic phenotypes predicted all-cause mortality (aHR: 1.97; 95% CI: 1.89-2.06; P < 0.001)
  • Obesity increased heart failure hospitalization risk (sHR: 1.42; 95% CI: 1.29-1.56; P < 0.001)
  • Kidney involvement significantly linked to higher risk of mortality and major adverse kidney events.

Study Design

Type

Cohort (n=48,810)

Structured PICO

Do cardio-kidney-metabolic (CKM) phenotypes predict adverse clinical outcomes in adults with atrial fibrillation?

P
Population
48,810 adults with atrial fibrillation evaluated between 2014 and 2022 to assess the prognostic impact of cardio-kidney-metabolic phenotypes.
E
Exposure
Cardio-kidney-metabolic (CKM) phenotypes and burden
O
Outcome
Heart failure hospitalization (HHF), transient ischemic attack/ischemic stroke, major adverse kidney events (MAKE), major adverse cardiovascular events (MACE), and all-cause mortalityhard clinical

Cardio-kidney-metabolic phenotypes, particularly kidney involvement and obesity, effectively stratify the risk of mortality, renal events, and heart failure hospitalizations in patients with atrial fibrillation.

Main Result

Hazard Ratio: 1.97 (95% CI 1.89–2.06)

p-value: p=<0.001

Abstract

BACKGROUND: The prognostic impact of distinct cardio-kidney-metabolic (CKM) phenotypes on outcomes in atrial fibrillation (AF) remains unclear. OBJECTIVES: The study sought to characterize CKM phenotypes and burden in AF and evaluate associations with clinical outcomes, exploring body mass index (BMI)-related heterogeneity. METHODS: This retrospective cohort study included 48,810 adults with AF (2014-2022). Patients were classified by CKM burden and phenotypes. Multivariable Cox and Fine-Gray models were used for heart failure hospitalization (HHF), transient ischemic attack/ischemic stroke, major adverse kidney events (MAKE), major adverse cardiovascular events (MACE), and all-cause mortality. RESULTS: ) predicted all-cause mortality (aHR: 1.97; 95% CI: 1.89-2.06; P < 0.001) and MAKE (aHR: 1.77; 95% CI: 1.70-1.84; P < 0.001), whereas obesity increased HHF risk (sHR: 1.42; 95% CI: 1.29-1.56; P < 0.001). CONCLUSIONS: CKM phenotypes stratify multisystem risks in AF. Kidney domain involvement identifies patients at highest risk for mortality and MAKE, while metabolic phenotypes are strongly associated with HHF. BMI further differentiates risk, with underweight status driving mortality and renal adverse events.

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Cite This Study

Hsu et al. (2026) conducted a cohort in atrial fibrillation (n=48,810). Cardio-kidney-metabolic (CKM) phenotypes was evaluated on all-cause mortality (aHR 1.97, 95% CI 1.89-2.06, p=<0.001). Cardio-kidney-metabolic phenotypes predicted all-cause mortality (aHR 1.97; 95% CI 1.89-2.06; P<0.001) and major adverse kidney events in patients with atrial fibrillation.

synapsesocial.com/papers/69fc2ecf8b49bacb8b3481cdhttps://doi.org/10.1016/j.jacasi.2026.02.017
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