Browsing by Author "Zhao, Yanglu"
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Item Open Access Impact of lung-function measures on cardiovascular disease events in older adults with metabolic syndrome and diabetes.(Clinical cardiology, 2018-07) Lee, Hwa Mu; Zhao, Yanglu; Liu, Michael A; Yanez, David; Carnethon, Mercedes; Graham Barr, R; Wong, Nathan DBackground
Individuals with metabolic syndrome (MetS) and diabetes (DM) are more likely to have decreased lung function and are at greater risk of cardiovascular disease (CVD).Hypothesis
Lung-function measures can predict CVD events in older persons with MetS, DM, and neither condition.Methods
We followed 4114 participants age ≥ 65 years with and without MetS or DM in the Cardiovascular Health Study. Cox regression examined the association of forced vital capacity (FVC) and 1-second forced expiratory volume (FEV1 ; percent of predicted values) with incident coronary heart disease and CVD events over 12.9 years.Results
DM was present in 537 (13.1%) and MetS in 1277 (31.0%) participants. Comparing fourth vs first quartiles for FVC, risk of CVD events was 16% (HR: 0.84, 95% CI: 0.59-1.18), 23% (HR: 0.77, 95% CI: 0.60-0.99), and 30% (HR: 0.70, 95% CI: 0.58-0.84) lower in DM, MetS, and neither disease groups, respectively. For FEV1 , CVD risk was lower by 2% (HR: 0.98, 95% CI: 0.70-1.37), 26% (HR: 0.74, 95% CI: 0.59-0.93), and 31% (HR: 0.69, 95% CI: 0.57-0.82) in DM. Findings were strongest for predicting congestive heart failure (CHF) in all disease groups. C-statistics increased significantly with addition of FEV1 or FVC over risk factors for CVD and CHF among those with neither MetS nor DM.Conclusions
FEV1 and FVC are inversely related to CVD in older adults with and without MetS, but not DM (except for CHF); however, their value in incremental risk prediction beyond standard risk factors is limited mainly to metabolically healthier persons.Item Open Access LV Mass as a Predictor of CVD Events in Older Adults With and Without Metabolic Syndrome and Diabetes.(JACC. Cardiovascular imaging, 2015-09) Hoang, Khiet; Zhao, Yanglu; Gardin, Julius M; Carnethon, Mercedes; Mukamal, Ken; Yanez, David; Wong, Nathan DObjectives
The purpose of this study was to examine the prognostic significance of left ventricular (LV) mass for cardiovascular disease (CVD) events in older adults with and without metabolic syndrome (MetS) and diabetes mellitus (DM).Background
MetS and DM are associated with increased CVD risk, but it is unclear in these groups whether subclinical CVD as shown by increased LV mass improves risk prediction compared to standard risk factors in older individuals.Methods
We studied 3,724 adults (mean 72.4 ± 5.4 years of age, 61.0% female, 4.4% African-American) from the Cardiovascular Health Study who had MetS but not DM or had DM alone or had neither condition. Cox regression was used to examine the association of LV mass, (alone and indexed by height and body surface area [BSA]) as determined by echocardiography, with CVD events, including coronary heart disease (CHD), stroke, heart failure (HF), and CVD death, as well as total mortality. We also assessed the added prediction, discriminative value, and net reclassification improvement (NRI) for clinical utility of LV mass compared to standard risk factors.Results
Over a mean follow-up of 14.2 ± 6.3 years, 2,180 subjects experienced CVD events, including 986 CVD deaths. After adjustment for age, sex and standard risk factors, LV mass was positively associated with CVD events in those with MetS (hazard ratio [HR]: 1.4, p < 0.001) and without MetS (HR: 1.4, p < 0.001), but not DM (HR: 1.0, p = 0.62), with similar findings for LV mass indexed for height or BSA. Adding LV mass to standard risk factors moderately improved the prediction accuracy in the overall sample and MetS group from changes in C-statistics (p < 0.05). Categorical-free net reclassification improvement increased significantly by 17% to 19% in those with MetS. Findings were comparable for CHD, CVD mortality, and total mortality.Conclusions
LV mass is associated with increased CVD risk and provides modest added prediction and clinical utility compared to standard risk factors in older persons with and without MetS but not with DM.