LV Mass as a Predictor of CVD Events in Older Adults With and Without Metabolic Syndrome and Diabetes.

dc.contributor.author

Hoang, Khiet

dc.contributor.author

Zhao, Yanglu

dc.contributor.author

Gardin, Julius M

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Carnethon, Mercedes

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Mukamal, Ken

dc.contributor.author

Yanez, David

dc.contributor.author

Wong, Nathan D

dc.date.accessioned

2024-06-11T13:48:42Z

dc.date.available

2024-06-11T13:48:42Z

dc.date.issued

2015-09

dc.description.abstract

Objectives

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.
dc.identifier

S1936-878X(15)00437-4

dc.identifier.issn

1936-878X

dc.identifier.issn

1876-7591

dc.identifier.uri

https://hdl.handle.net/10161/31170

dc.language

eng

dc.publisher

Elsevier BV

dc.relation.ispartof

JACC. Cardiovascular imaging

dc.relation.isversionof

10.1016/j.jcmg.2015.04.019

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Heart Ventricles

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Humans

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Cardiovascular Diseases

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Hypertrophy, Left Ventricular

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Diabetes Mellitus

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Ultrasonography

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Prognosis

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Logistic Models

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Proportional Hazards Models

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Risk Assessment

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Risk Factors

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Prospective Studies

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Comorbidity

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Time Factors

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Aged

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Aged, 80 and over

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United States

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Female

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Male

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Metabolic Syndrome

dc.title

LV Mass as a Predictor of CVD Events in Older Adults With and Without Metabolic Syndrome and Diabetes.

dc.type

Journal article

duke.contributor.orcid

Yanez, David|0000-0002-2501-5028

pubs.begin-page

1007

pubs.end-page

1015

pubs.issue

9

pubs.organisational-group

Duke

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School of Medicine

pubs.organisational-group

Basic Science Departments

pubs.organisational-group

Biostatistics & Bioinformatics

pubs.organisational-group

Biostatistics & Bioinformatics, Division of Biostatistics

pubs.publication-status

Published

pubs.volume

8

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