Albuminuria is independently associated with preclinical left ventricular systolic dysfunction: The TESEO study
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND: Global longitudinal strain (GLS) of the left ventricular is a highly sensitive and reliable marker of systolic function and GLS outperforms ejection fraction (EF) in detecting preclinical left ventricular systolic dysfunction (LVSD). In patients with type 2 diabetes (DM2) albuminuria is a predictor of symptomatic heart failure, but data on the relationship between GLS and albuminuria are conflicting. AIM: To explore the relationship between GLS and albuminuria in a contemporary cohort of DM2 patients. METHODS: The study was performed on DM2 patients consecutively enrolled in the TESEO study. Patients with symptoms/signs of heart failure, EF < 50%, coronary artery, other cardiac diseases, or non-adequate acoustic window for GLS assessment were excluded. We collected clinical data, screened for complications, and measured GLS by speckle-tracking echocardiography. Univariate and multiple linear regression analyses were performed to identify independent explanatory variables associated with GLS. Logistic regression analysis was used to assess whether albuminuria was independently associated with GLS-diagnosed (GLS > -18%) LVSD. RESULTS: < 0.001) and in multivariate analysis natural logarithm of albumin-creatinine ratio and uric acid were independent predictors of GLS. In logistic regression analysis, albuminuria was associated with a 6.01 (95% confidence interval: 1.874-19.286) increased odds ratio of GLS-LVSD, independent of age, sex, diastolic blood pressure, chronic kidney disease, EF, mitral annulus velocity lateral, uric acid, and treatments. CONCLUSION: Albuminuria was independently associated with subclinical LVSD in our contemporary cohort of DM2 patients.
Source: World Journal of Diabetes
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4414092779
