Cardio-metabolic biomarkers including circulating ketone bodies and risk of incident atrial fibrillation in the multi-ethnic study of atherosclerosis (MESA).

IF 7.6
Parag Anilkumar Chevli, James McParland, Soroush Masrouri, Kaushik Gokul, Margery A Connelly, Christopher R DeFilippi, Natalie Bradford, Anvi Raina, Susan R Heckbert, Moyses Szklo, Takeki Suzuki, Michael D Shapiro, Prashant D Bhave
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Abstract

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.

动脉粥样硬化多民族研究(MESA)中包括循环酮体在内的心脏代谢生物标志物和房颤发生风险
背景:心房颤动(AF)反映了全身心脏代谢功能障碍。虽然心肌应激和损伤生物标志物与AF事件相关,但酮体(KB)的作用仍不完全明确。目的:评估将KB与NT-proBNP和hs-cTnT相结合的多生物标志物风险评分对AF事件的预测及其在既定临床模型之外的增量价值。方法:我们研究了6429名MESA参与者,他们在基线时没有房颤和临床心血管疾病。multi-biomarker风险评分使用252 KB > μmol / L,中位数水平以上病人≥125 pg / mL,和hs-cTnT≥14 ng / L归类为很低的风险评分 = 0,低风险评分 = 1 - 3,中间风险评分 = 4 - 5,和高危险分数 > 5。使用Cox比例风险和Fine-Gray竞争风险模型评估与AF事件的关联。结果:在16.4 年的时间里,1269名参与者在死前出现房颤。较高的风险评分类别与房颤风险的强烈、分级增加相关,独立于人口统计学、社会经济和临床协变量。高风险评分 > 5与极低风险评分 = 0 (HR 2.72; 95% CI, 2.11-3.49; P )相比,高风险评分 = 0的房颤风险高出近三倍(HR 2.72; 95% CI, 2.11-3.49; P )结论:将KB与NT-proBNP和hs-cTnT相结合的多生物标志物风险评分与房颤事件密切相关,并提供了比chargeaf更大的预测价值。临床应用前需进行外部验证。
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