Int J Angiol 2013; 22(04): 229-234
DOI: 10.1055/s-0033-1353240
Original Article
Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.

Prevalence and Predictors of Left Ventricular Diastolic Dysfunction in a Hispanic Patient Population

Carlos E. Rodríguez Castro
1   Department of Internal Medicine, Texas Tech University Health Science Center, El Paso, Texas
,
Alexander Lyapin
1   Department of Internal Medicine, Texas Tech University Health Science Center, El Paso, Texas
,
Mithun Pattathan
1   Department of Internal Medicine, Texas Tech University Health Science Center, El Paso, Texas
,
José Negrin
1   Department of Internal Medicine, Texas Tech University Health Science Center, El Paso, Texas
,
Debabrata Mukherjee
1   Department of Internal Medicine, Texas Tech University Health Science Center, El Paso, Texas
› Author Affiliations
Further Information

Publication History

Publication Date:
13 October 2013 (online)

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Abstract

Minimal data exist on attributes of diastolic dysfunction in the Hispanic population. The purpose of this study was to evaluate the prevalence and predictors of diastolic dysfunction in a Hispanic patient population. We performed a retrospective review of 166 consecutive echocardiograms in a southwestern Texas Hospital that caters to a large Hispanic patient population. We identified all echocardiograms that met criteria for diastolic dysfunction and assessed baseline demographics and comorbidities in the cohort of Hispanic patients. A multivariate analysis was performed to identify the independent predictors of diastolic dysfunction. A total of 129 out of 166 patients (77.8%) were of Hispanic origin. Out of the 129 patients, 87 (67.4%) had some degree of diastolic dysfunction in this population suggesting a high prevalence in the study cohort. In the diastolic dysfunction group, the mean age was 64.5 ± 13.9, 37% were male and 63% female, 78% had diabetes, 85% had hypertension, and 49% had some degree of renal insufficiency (stages 3–5). A logistic multivariate analysis showed that diabetes was an independent predictor of diastolic dysfunction with odds ratio of 2.69 (95% confidence interval [CI], 1.06–6.28; p = 0.038). Similarly age (per year increase) and chronic kidney disease were independent predictors of diastolic dysfunction. We demonstrated that older age, presence of diabetes, and renal dysfunction are independent predictors of diastolic dysfunction in the Hispanic patient population. Strategies geared toward reducing diabetes and preventing renal dysfunction are likely to decrease prevalence of diastolic dysfunction and heart failure in this community.