RESUMEN
Myocardial infarction is a leading cause of death globally but is notoriously difficult to predict. We aimed to identify biomarkers of an imminent first myocardial infarction and design relevant prediction models. Here, we constructed a new case-cohort consortium of 2,018 persons without prior cardiovascular disease from six European cohorts, among whom 420 developed a first myocardial infarction within 6 months after the baseline blood draw. We analyzed 817 proteins and 1,025 metabolites in biobanked blood and 16 clinical variables. Forty-eight proteins, 43 metabolites, age, sex and systolic blood pressure were associated with the risk of an imminent first myocardial infarction. Brain natriuretic peptide was most consistently associated with the risk of imminent myocardial infarction. Using clinically readily available variables, we devised a prediction model for an imminent first myocardial infarction for clinical use in the general population, with good discriminatory performance and potential for motivating primary prevention efforts.
Asunto(s)
Biomarcadores , Infarto del Miocardio , Humanos , Infarto del Miocardio/sangre , Infarto del Miocardio/diagnóstico , Biomarcadores/sangre , Masculino , Femenino , Persona de Mediana Edad , Anciano , Europa (Continente)/epidemiología , Péptido Natriurético Encefálico/sangre , Medición de Riesgo , Valor Predictivo de las Pruebas , Factores de Tiempo , Factores de Riesgo , Adulto , Pronóstico , Presión Sanguínea/fisiologíaRESUMEN
Background There are conflicting data on outcomes in patients with atrial fibrillation treated with non-vitamin K oral anticoagulants across varying body mass index (BMI). We investigated cardiovascular and bleeding risk in patients with atrial fibrillation with varying BMI. Methods and Results Observational cohort study from the Swedish oral anticoagulation registry between August 2, 2011, and December 31, 2018. Primary outcomes were mortality, ischemic stroke/systemic embolism, and major bleeding. Baseline BMI (kg/m2) was analyzed continuously and categorized: underweight (<18.5 kg/m2), normal weight (18.5 to <25 kg/m2), preobesity (25 to <30 kg/m2), and obesity class I to III (30 to <35, 35 to <40, and ≥40 kg/m2). Adjusted Cox models and nonlinear relationships of BMI were modeled using restricted cubic splines. Non-vitamin K oral anticoagulant-treated patients with atrial fibrillation were included (n=26 047). At baseline, 602 (2.3%) were underweight, 9101 (34.9%) were normal weight, 9970 (38.3%) were preobese, 4280 (16.4%) were obese class I, 1486 (5.7%) were obese class II, and 608 (2.3%) were obese class III. Underweight and obesity class III were in adjusted continuous analysis associated with increased mortality and major bleeding, with lowest risk observed among preobese patients with BMI 28.2 and 26.2 kg/m2, respectively. In adjusted categorical analysis, underweight was associated with increased mortality (hazard ratio [HR], 1.77 [95% CI, 1.57-1.99]) and nonsignificant higher risk of major bleeding (HR, 1.23 [95% CI, 0.95-1.58]). Similarly, obesity class III was associated with increased mortality (HR, 1.67 [95% CI, 1.40-1.99]) and major bleeding (HR, 1.68 [95% CI, 1.29-2.17]). No significant association was observed between higher BMI and ischemic stroke/systemic embolism. Conclusions In non-vitamin K oral anticoagulant-treated patients with atrial fibrillation, there appears to be a U-shaped relationship between BMI and mortality and major bleeding.