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. 2010 Dec 16:9:89.
doi: 10.1186/1475-2840-9-89.

Early diagnosis of left ventricular diastolic dysfunction in diabetic patients: a possible role for natriuretic peptides

Affiliations

Early diagnosis of left ventricular diastolic dysfunction in diabetic patients: a possible role for natriuretic peptides

Silvio Romano et al. Cardiovasc Diabetol. .

Abstract

Background: The aim of the present study was to verify whether BNP might detect pre-clinical diastolic dysfunction (LVDD) in type-2 diabetic patients.

Methods: One-hundred and twenty-seven consecutive outpatients with type-2 diabetes mellitus were enrolled into the study. Subjects with overt heart failure or NYHA class > 1, history of coronary artery disease, severe valvulopathy or chronic atrial fibrillation were excluded from the study. All patients underwent clinical evaluation, laboratory assessment of brain natriuretic peptide (BNP) and echocardiographic examination.

Results: No patients showed systolic impairment of left ventricular function, whereas diastolic dysfunction was detected in 53 (42%) cases (all impaired relaxation). Median BNP was 27 pg/ml without any significant difference between 76 patients with normal left ventricular function and 53 with diastolic dysfunction; in 54 (43%) patients showing HBA1C≥8 (uncontrolled diabetes) normal function was found in 32 and diastolic dysfunction in 22, with a significant difference of BNP at multivariate analysis (OR = 1.02, 95%CI = 1.05-1.09, p = 0.003). In uncontrolled diabetic cohort, BNP was a strong predictor for LVDD (OR = 2.7, 95%CI = 1.3-5.6, p = 0.006) along with the duration of diabetes (OR = 1.6, 95%CI = 1.1-2.9, p = 0.046). BNP > 25 pg/ml was a cut-off value with high accuracy to detect a LVDD.

Discussion: Early screening of high-risk patients for diabetic cardiomyopathy development might be useful to better control glycemic profile in order to reduce heart disease progression or even to reverse it

Conclusions: BNP could be a cheap, easy and useful tool to screen those ones with preclinical ventricular diastolic dysfunction in a subset of patients particularly prone to develop cardiovascular complications, like uncontrolled diabetic patients.

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Figures

Figure 1
Figure 1
Box-plots: BNP value according to absence or presence of diastolic dysfunction. Numeric data reported in the figure are median and interquartile range.
Figure 2
Figure 2
Box-plots: BNP value according to absence or presence of diastolic dysfunction, in uncontrolled diabetic cohort. Numeric data reported in the figure are median and interquartile range.
Figure 3
Figure 3
ROC curve: BNP is a good predictor for DD in out of control cohort.

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