Researchers systematically searched databases (PubMed, Embase, Cochrane Library, Web of Science and Scopus) up to August 2024 for prospective studies that reported associations between baseline NT-proBNP levels and incident AF. HRs or relative risks (RRs) with 95% CIs were pooled using random-effects models.
This analysis included 136 089 participants from 16 cohorts, with 8017 incident AF cases. Elevated NT-proBNP levels were associated with a higher risk of developing AF (top vs bottom quartile, RR=3.84, 95% CI 3.03 to 4.87; per SD increment, RR=1.70, 95% CI 1.54 to 1.88). A significant non-linear dose-response relationship was observed (Pnon-linearity<0.05), and stronger associations were noted in older populations and when serum samples were used. Adding NT-proBNP to traditional AF risk models improved predictive accuracy, suggesting its value in AF risk stratification.
NT-proBNP levels are strongly associated with an increased risk of AF, particularly in older adults. Incorporating NT-proBNP into risk prediction models may enhance early identification of individuals at risk of AF, with potential implications for population-based screening.
https://doi.org/10.1136/heartjnl-2024-324685