Risk assessment for incident heart failure in individuals with atrial fibrillation
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Risk assessment for incident heart failure in individuals with atrial fibrillation. / Schnabel, Renate B; Rienstra, Michiel; Sullivan, Lisa M; Sun, Jenny X; Moser, Carlee B; Levy, Daniel; Pencina, Michael J; Fontes, João D; Magnani, Jared W; McManus, David D; Lubitz, Steven A; Tadros, Thomas M; Wang, Thomas J; Ellinor, Patrick T; Vasan, Ramachandran S; Benjamin, Emelia J.
In: EUR J HEART FAIL, Vol. 15, No. 8, 08.2013, p. 843-849.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Risk assessment for incident heart failure in individuals with atrial fibrillation
AU - Schnabel, Renate B
AU - Rienstra, Michiel
AU - Sullivan, Lisa M
AU - Sun, Jenny X
AU - Moser, Carlee B
AU - Levy, Daniel
AU - Pencina, Michael J
AU - Fontes, João D
AU - Magnani, Jared W
AU - McManus, David D
AU - Lubitz, Steven A
AU - Tadros, Thomas M
AU - Wang, Thomas J
AU - Ellinor, Patrick T
AU - Vasan, Ramachandran S
AU - Benjamin, Emelia J
PY - 2013/8
Y1 - 2013/8
N2 - BACKGROUND: Atrial fibrillation (AF) is a strong risk factor for heart failure (HF); HF onset in patients with AF is associated with increased morbidity and mortality. Risk factors that predict HF in individuals with AF in the community are not well established.METHODS AND RESULTS: We examined clinical variables related to the 10-year incidence of HF in 725 individuals (mean 73.3 years, 45% women) with documented AF in the Framingham Heart Study. Event rates for incident HF (n = 161, 48% in women) were comparable in women (4.30 per 100 person-years) and men (3.34 per 100 person-years). Age, body mass index, ECG LV hypertrophy, diabetes, significant murmur, and history of myocardial infarction were positively associated with incident HF in multivariable models (C-statistic 0.71; 95% confidence interval 0.67-0.75). We developed a risk algorithm for estimating absolute risk of HF in AF patients with good model fit and calibration (adjusted calibration χ2 statistic 7.29; P(χ2) = 0.61). Applying the algorithm, 47.6% of HF events occurred in the top tertile in men compared with 13.1% in the bottom tertile, and 58.4% in women in the upper tertile compared with 18.2% in the lowest category. For HF type, women had a non-significantly higher incidence of HF with preserved EF compared with men.CONCLUSIONS: We describe advancing age, LV hypertrophy, body mass index, diabetes, significant heart murmur, and history of myocardial infarction as clinical predictors of incident HF in individuals with AF. A risk algorithm may help identify individuals with AF at high risk of developing HF.
AB - BACKGROUND: Atrial fibrillation (AF) is a strong risk factor for heart failure (HF); HF onset in patients with AF is associated with increased morbidity and mortality. Risk factors that predict HF in individuals with AF in the community are not well established.METHODS AND RESULTS: We examined clinical variables related to the 10-year incidence of HF in 725 individuals (mean 73.3 years, 45% women) with documented AF in the Framingham Heart Study. Event rates for incident HF (n = 161, 48% in women) were comparable in women (4.30 per 100 person-years) and men (3.34 per 100 person-years). Age, body mass index, ECG LV hypertrophy, diabetes, significant murmur, and history of myocardial infarction were positively associated with incident HF in multivariable models (C-statistic 0.71; 95% confidence interval 0.67-0.75). We developed a risk algorithm for estimating absolute risk of HF in AF patients with good model fit and calibration (adjusted calibration χ2 statistic 7.29; P(χ2) = 0.61). Applying the algorithm, 47.6% of HF events occurred in the top tertile in men compared with 13.1% in the bottom tertile, and 58.4% in women in the upper tertile compared with 18.2% in the lowest category. For HF type, women had a non-significantly higher incidence of HF with preserved EF compared with men.CONCLUSIONS: We describe advancing age, LV hypertrophy, body mass index, diabetes, significant heart murmur, and history of myocardial infarction as clinical predictors of incident HF in individuals with AF. A risk algorithm may help identify individuals with AF at high risk of developing HF.
KW - Adult
KW - Age Factors
KW - Aged
KW - Aged, 80 and over
KW - Algorithms
KW - Atrial Fibrillation/epidemiology
KW - Body Mass Index
KW - Cohort Studies
KW - Diabetes Mellitus/epidemiology
KW - Female
KW - Heart Failure/epidemiology
KW - Heart Murmurs/epidemiology
KW - Humans
KW - Hypertrophy, Left Ventricular/epidemiology
KW - Incidence
KW - Male
KW - Middle Aged
KW - Multivariate Analysis
KW - Myocardial Infarction/epidemiology
KW - Overweight/epidemiology
KW - Proportional Hazards Models
KW - Risk Assessment/methods
KW - Risk Factors
U2 - 10.1093/eurjhf/hft041
DO - 10.1093/eurjhf/hft041
M3 - SCORING: Journal article
C2 - 23594831
VL - 15
SP - 843
EP - 849
JO - EUR J HEART FAIL
JF - EUR J HEART FAIL
SN - 1388-9842
IS - 8
ER -