BACKGROUND: It is unclear whether measures of glycemic status beyond fasting glucose (FG) levels improve incident heart failure (HF) prediction in patients without history of diabetes mellitus (DM). METHODS AND RESULTS: The association of measures of glycemic status at baseline (including FG, oral glucose tolerance testing [OGTT], fasting insulin, hemoglobin A(1c) [HbA(1c)] levels, and homeostasis model assessment of insulin resistance [HOMA-IR] and insulin secretion [HOMA-B]) with incident HF, defined as hospitalization for new-onset HF, was evaluated in 2386 elderly participants without history of DM enrolled in the Health, Aging, and Body Composition Study (median age, 73 years; 47.6% men; 62.5% white, 37.5% black) using Cox models. After a median follow-up of 7.2 years, 185 (7.8%) participants developed HF. Incident HF rate was 10.7 cases per 1000 person-years with FG <100mg/dL, 13.1 with FG 100-125 mg/dL, and 26.6 with FG >or=126 mg/dL (P=.002; P=.003 for trend). In adjusted models (for body mass index, age, history of coronary artery disease and smoking, left ventricular hypertrophy, systolic blood pressure and heart rate [HR], and creatinine and albumin levels), FG was the strongest predictor of incident HF (adjusted HR per 10mg/dL, 1.10; 95% CI, 1.02-1.18; P=.009); the addition of OGTT, fasting insulin, HbA(1c), HOMA-IR, or HOMA-B did not improve HF prediction. Results were similar across race and gender. When only HF with left ventricular ejection fraction (LVEF) <or=40% was considered (n=69), FG showed a strong association in adjusted models (HR per 10mg/dL, 1.15; 95% CI, 1.03-1.29; P=.01). In comparison, when only HF with LVEF >40%, was considered (n=71), the association was weaker (HR per 10mg/dL, 1.05; 95% CI; 0.94-1.18; P=.41). CONCLUSIONS: Fasting glucose is a strong predictor of HF risk in elderly without history of DM. Other glycemic measures provide no incremental prediction information.
BACKGROUND: It is unclear whether measures of glycemic status beyond fasting glucose (FG) levels improve incident heart failure (HF) prediction in patients without history of diabetes mellitus (DM). METHODS AND RESULTS: The association of measures of glycemic status at baseline (including FG, oral glucose tolerance testing [OGTT], fasting insulin, hemoglobin A(1c) [HbA(1c)] levels, and homeostasis model assessment of insulin resistance [HOMA-IR] and insulin secretion [HOMA-B]) with incident HF, defined as hospitalization for new-onset HF, was evaluated in 2386 elderly participants without history of DM enrolled in the Health, Aging, and Body Composition Study (median age, 73 years; 47.6% men; 62.5% white, 37.5% black) using Cox models. After a median follow-up of 7.2 years, 185 (7.8%) participants developed HF. Incident HF rate was 10.7 cases per 1000 person-years with FG <100mg/dL, 13.1 with FG 100-125 mg/dL, and 26.6 with FG >or=126 mg/dL (P=.002; P=.003 for trend). In adjusted models (for body mass index, age, history of coronary artery disease and smoking, left ventricular hypertrophy, systolic blood pressure and heart rate [HR], and creatinine and albumin levels), FG was the strongest predictor of incident HF (adjusted HR per 10mg/dL, 1.10; 95% CI, 1.02-1.18; P=.009); the addition of OGTT, fasting insulin, HbA(1c), HOMA-IR, or HOMA-B did not improve HF prediction. Results were similar across race and gender. When only HF with left ventricular ejection fraction (LVEF) <or=40% was considered (n=69), FG showed a strong association in adjusted models (HR per 10mg/dL, 1.15; 95% CI, 1.03-1.29; P=.01). In comparison, when only HF with LVEF >40%, was considered (n=71), the association was weaker (HR per 10mg/dL, 1.05; 95% CI; 0.94-1.18; P=.41). CONCLUSIONS: Fasting glucose is a strong predictor of HF risk in elderly without history of DM. Other glycemic measures provide no incremental prediction information.
Authors: Zhi You Fang; Satoshi Yuda; Vinah Anderson; Leanne Short; Colin Case; Thomas H Marwick Journal: J Am Coll Cardiol Date: 2003-02-19 Impact factor: 24.094
Authors: Satish Kenchaiah; Jane C Evans; Daniel Levy; Peter W F Wilson; Emelia J Benjamin; Martin G Larson; William B Kannel; Ramachandran S Vasan Journal: N Engl J Med Date: 2002-08-01 Impact factor: 91.245
Authors: Orly Vardeny; Deepak K Gupta; Brian Claggett; Stuart Burke; Amil Shah; Laura Loehr; Laura Rasmussen-Torvik; Elizabeth Selvin; Patricia P Chang; David Aguilar; Scott D Solomon Journal: JACC Heart Fail Date: 2013-12 Impact factor: 12.035
Authors: Margret Leosdottir; Ronnie Willenheimer; Jonathan Plehn; Rasmus Borgquist; Petri Gudmundsson; Tamara B Harris; Lenore J Launer; Halldora Bjornsdottir; Peter M Nilsson; Vilmundur Gudnason Journal: Am Heart J Date: 2010-03 Impact factor: 4.749
Authors: C Andersson; J B Olesen; P R Hansen; P Weeke; M L Norgaard; C H Jørgensen; T Lange; S Z Abildstrøm; T K Schramm; A Vaag; L Køber; C Torp-Pedersen; G H Gislason Journal: Diabetologia Date: 2010-09-14 Impact factor: 10.122
Authors: Justin B Echouffo-Tcheugui; Stanford E Mwasongwe; Solomon K Musani; Michael E Hall; Adolfo Correa; Adrian F Hernandez; Sherita H Golden; Robert J Mentz; Alain G Bertoni Journal: Am Heart J Date: 2021-11-19 Impact factor: 4.749
Authors: Lotte Jacobs; Ljupcho Efremov; João Pedro Ferreira; Lutgarde Thijs; Wen-Yi Yang; Zhen-Yu Zhang; Roberto Latini; Serge Masson; Nera Agabiti; Peter Sever; Christian Delles; Naveed Sattar; Javed Butler; John G F Cleland; Tatiana Kuznetsova; Jan A Staessen; Faiez Zannad Journal: J Am Heart Assoc Date: 2017-05-02 Impact factor: 5.501