TY - JOUR
T1 - Usefulness of Left Ventricular Mass and Geometry for Determining 10-Year Prediction of Cardiovascular Disease in Adults Aged >65 Years (from the Cardiovascular Health Study)
AU - Desai, Chintan S.
AU - Bartz, Traci M.
AU - Gottdiener, John S.
AU - Lloyd-Jones, Donald M.
AU - Gardin, Julius M.
N1 - Funding Information:
This research was supported by contracts HHSN268201200036 C, HHSN268200800007 C, N01 HC55222, N01HC85079, N01HC85080, N01HC85081, N01HC85082, N01HC85083, N01HC85086, and grant HL080295 from the National Heart, Lung, and Blood Institute (NHLBI), Bethesda, Maryland, with additional contribution from the National Institute of Neurological Disorders and Stroke (NINDS), Bethesda, Maryland. Additional support was provided by AG023629 from the National Institute on Aging (NIA), Bethesda, Maryland. A full list of principal CHS investigators and institutions can be found at http://www.chs-nhlbi.org/PI.htm . Dr. Desai was supported by grant T32 HL-69771-8 from the National Institutes of Health , Bethesda, Maryland.
Publisher Copyright:
© 2016 Elsevier Inc.
PY - 2016
Y1 - 2016
N2 - Left ventricular (LV) mass and geometry are associated with risk of cardiovascular disease (CVD). We sought to determine whether LV mass and geometry contribute to risk prediction for CVD in adults aged ≥65 years of the Cardiovascular Health Study. We indexed LV mass to body size, denoted as LV mass index (echo-LVMI), and we defined LV geometry as normal, concentric remodeling, and eccentric or concentric LV hypertrophy. We added echo-LVMI and LV geometry to separate 10-year risk prediction models containing traditional risk factors and determined the net reclassification improvement (NRI) for incident coronary heart disease (CHD), CVD (CHD, heart failure [HF], and stroke), and HF alone. Over 10 years of follow-up in 2,577 participants (64% women, 15% black, mean age 72 years) for CHD and CVD, the adjusted hazards ratios for a 1-SD higher echo-LVMI were 1.25 (95% CI 1.14 to 1.37), 1.24 (1.15 to 1.33), and 1.51 (1.40 to 1.62), respectively. Addition of echo-LVMI to the standard model for CHD resulted in an event NRI of −0.011 (95% CI −0.037 to 0.028) and nonevent NRI of 0.034 (95% CI 0.008 to 0.076). Addition of echo-LVMI and LV geometry to the standard model for CVD resulted in an event NRI of 0.013 (95% CI −0.0335 to 0.0311) and a nonevent NRI of 0.043 (95% CI 0.011 to 0.09). The nonevent NRI was also significant with addition of echo-LVMI for HF risk prediction (0.10, 95% CI 0.057 to 0.16). In conclusion, in adults aged ≥65 years, echo-LVMI improved risk prediction for CHD, CVD, and HF, driven primarily by improved reclassification of nonevents.
AB - Left ventricular (LV) mass and geometry are associated with risk of cardiovascular disease (CVD). We sought to determine whether LV mass and geometry contribute to risk prediction for CVD in adults aged ≥65 years of the Cardiovascular Health Study. We indexed LV mass to body size, denoted as LV mass index (echo-LVMI), and we defined LV geometry as normal, concentric remodeling, and eccentric or concentric LV hypertrophy. We added echo-LVMI and LV geometry to separate 10-year risk prediction models containing traditional risk factors and determined the net reclassification improvement (NRI) for incident coronary heart disease (CHD), CVD (CHD, heart failure [HF], and stroke), and HF alone. Over 10 years of follow-up in 2,577 participants (64% women, 15% black, mean age 72 years) for CHD and CVD, the adjusted hazards ratios for a 1-SD higher echo-LVMI were 1.25 (95% CI 1.14 to 1.37), 1.24 (1.15 to 1.33), and 1.51 (1.40 to 1.62), respectively. Addition of echo-LVMI to the standard model for CHD resulted in an event NRI of −0.011 (95% CI −0.037 to 0.028) and nonevent NRI of 0.034 (95% CI 0.008 to 0.076). Addition of echo-LVMI and LV geometry to the standard model for CVD resulted in an event NRI of 0.013 (95% CI −0.0335 to 0.0311) and a nonevent NRI of 0.043 (95% CI 0.011 to 0.09). The nonevent NRI was also significant with addition of echo-LVMI for HF risk prediction (0.10, 95% CI 0.057 to 0.16). In conclusion, in adults aged ≥65 years, echo-LVMI improved risk prediction for CHD, CVD, and HF, driven primarily by improved reclassification of nonevents.
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U2 - 10.1016/j.amjcard.2016.06.016
DO - 10.1016/j.amjcard.2016.06.016
M3 - Article
C2 - 27457431
AN - SCOPUS:84978977502
VL - 118
SP - 684
EP - 690
JO - American Journal of Cardiology
JF - American Journal of Cardiology
SN - 0002-9149
IS - 5
ER -