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Association of left ventricular function with bone mineral density in older women: a population-based study

Laudisio A, Marzetti E, Antonica L, Cocchi A, Bernabei R, Zuccalà G

Calcified tissue international, 2008

312 participants

Abstract

Due to the increasing mortality and disability rates associated with hip and vertebral fractures in older age, research is currently focusing on "new" determinants of osteoporosis in elderly subjects. Most recently, low bone mineral density (BMD) has been repeatedly reported in patients with end-stage heart failure. We assessed the association, if any, of BMD with left ventricular ejection fraction (LVEF) in a general older population. We assessed the association of LVEF with T score, Z score, and stiffness index in all 312 subjects aged 75 and over living in Tuscania, Italy. Among women, LVEF was associated with T score (beta = 0.02, 95% CI 0.01-0.05; P = 0.033), Z score (beta = 0.02, 95% CI 0.01-0.04; P = 0.038), and stiffness index (beta = 0.25, 95% CI 0.02-0.48; P = 0.036) in multivariable linear regression analysis, after adjusting for lifestyle habits, demographic variables, comorbid conditions, polypharmacy, and objective measurements. No significant associations were observed in men. In linear discriminant analysis, the LVEF cutoff level that best predicted osteoporosis was < or =49%. Left ventricular function is directly and independently associated with all of the ultrasonographic BMD parameters in older women. As left ventricular dysfunction, often asymptomatic, is a prevalent finding in older women, this association and its potential therapeutic implications should be assessed in dedicated studies.

How strong is the evidence?

Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 312 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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