Key result
High multi-biomarker score linked to ~2.7-fold higher risk of incident AF.
Why the study?
The role of circulating ketone bodies in predicting incident atrial fibrillation remains incompletely defined beyond established myocardial stress and injury biomarkers.
Does a multi-biomarker risk score integrating circulating ketone bodies, NT-proBNP, and hs-cTnT improve prediction of incident atrial fibrillation in a multi-ethnic cohort free of AF and CVD?
Cohort (n=6,429)
Does a multi-biomarker risk score integrating circulating ketone bodies, NT-proBNP, and hs-cTnT improve prediction of incident atrial fibrillation in a multi-ethnic cohort free of AF and CVD?
Hazard Ratio: 2.72 (95% CI 2.11–3.49)
p-value: p=< 0.001
While a multi-biomarker risk score including ketone bodies is strongly associated with incident atrial fibrillation, it provides minimal incremental predictive value over established clinical risk models and standard cardiac biomarkers.
Multi-biomarker score was associated with incident AF but added only modest prediction; leaves open clinical utility pending external validation.
BACKGROUND: Atrial fibrillation (AF) reflects systemic cardio-metabolic dysfunction. While myocardial stress and injury biomarkers are associated with incident AF, the role of ketone bodies (KB) remains incompletely defined. OBJECTIVES: To evaluate a multi-biomarker risk score integrating KB with NT-proBNP and hs-cTnT for incident AF prediction and its incremental value beyond established clinical models. METHODS: We studied 6429 MESA participants free of AF and clinical CVD at baseline. A multi-biomarker risk score using total KB >252 μmol/L, NT-proBNP ≥125 pg/mL, and hs-cTnT ≥14 ng/L was categorized as Very Low Risk Score = 0, Low Risk Score = 1-3, Intermediate Risk Score = 4-5, and High Risk Score > 5. Associations with incident AF were evaluated using Cox proportional hazards and Fine-Gray competing risk models. RESULTS: Over 16.4 years, 1269 participants developed AF before death. Higher risk score categories were associated with a strong, graded increase in AF risk independent of demographic, socioeconomic, and clinical covariates. High Risk Score > 5 had nearly threefold greater AF risk versus Very Low Risk Score = 0 (HR 2.72; 95% CI, 2.11-3.49; P < 0.001). At 5 years, AUC was 0.768 for CHARGE-AF, 0.784 after adding NT-proBNP, and 0.787 after adding hs-cTnT. Adding KB after NT-proBNP and hs-cTnT did not materially change the AUC; 10-year findings were similar. Decision curves showed no clear additional net benefit. CONCLUSIONS: A multi-biomarker risk score integrating KB with NT-proBNP and hs-cTnT was strongly associated with incident AF and provided modest incremental predictive value beyond CHARGE-AF. External validation is warranted before clinical application.
No takes yet. Share an insight, caveat, or question.
Chevli et al. (2026) conducted a cohort in Incident atrial fibrillation (n=6,429). High multi-biomarker risk score (> 5) integrating ketone bodies, NT-proBNP, and hs-cTnT vs. Very Low Risk Score = 0 was evaluated on Incident atrial fibrillation (HR 2.72, 95% CI 2.11-3.49, p=< 0.001). A multi-biomarker risk score > 5 integrating ketone bodies with NT-proBNP and hs-cTnT was associated with a higher risk of incident AF versus a score of 0 (HR 2.72; 95% CI 2.11-3.49; P<0.001).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: