Risk Assessment for Incident Heart Failure in Individuals With Atrial Fibrillation
Key result
A risk algorithm using age, BMI, LV hypertrophy, diabetes, murmur, and prior MI predicted incident heart failure in patients with atrial fibrillation (C-statistic 0.71; 95% CI 0.67-0.75).
Population
725 individuals with documented atrial fibrillation from the Framingham Heart Study, mean age 73.3 years…
Design
Cohort
Follow-up
10-year
Authors
Discussion
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Member takes
Implication
May support HF risk stratification in AF; hypothesis-generating and requires external validation before clinical use.
Study Design
Type
Cohort (n=725)
Structured PICO
P
Population
725 individuals with documented atrial fibrillation from the Framingham Heart Study, mean age 73.3 years, 45% women.
O
Outcome
10-year incidence of heart failurehard clinical
Main Result
Effect estimate: C-statistic 0.71 (95% CI 0.67-0.75)
A risk algorithm incorporating age, BMI, LV hypertrophy, diabetes, murmur, and prior MI can predict the 10-year incidence of heart failure in patients with atrial fibrillation with a C-statistic of 0.71.
Cite This Study
Schnabel et al. (2013) conducted a cohort in Atrial fibrillation (n=725). Risk algorithm for incident heart failure was evaluated on 10-year incidence of heart failure (C-statistic 0.71, 95% CI 0.67-0.75). A risk algorithm using age, BMI, LV hypertrophy, diabetes, murmur, and prior MI predicted incident heart failure in patients with atrial fibrillation (C-statistic 0.71; 95% CI 0.67-0.75).