Open AccessRole of some serum biomarkers in the early detection of diabetic cardiomyopathy
Author(s) -
Amany H. Abdelrahman,
Iman I. Salama,
Somaia I Salama,
Dalia M. Elmosalami,
Ekram M. Hassan,
Mark O Dimitry,
Zahraa I Aboafya,
Mohammad Gouda Mohammad,
Mohamed Afizal Mohamed Amin
Publication year - 2021
Publication title -
future science oa
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.825
H-Index - 23
ISSN - 2056-5623
DOI - 10.2144/fsoa-2020-0184
Subject(s) - medicine , creatinine , diabetes mellitus , endocrinology , diabetic cardiomyopathy , cardiomyopathy , diastole , area under the curve , cardiology , heart failure , blood pressure
Aim: To assess the role of serum biomarkers in early prediction of diabetic cardiomyopathy. Materials and methods: The participants were three groups of Type 2 diabetes mellitus (DM) patients having diastolic dysfunction (DM-DD), systolic dysfunction (DM-SD) and normal echocardiography (DM-N) with two control groups: non-DM diastolic dysfunction patients (DD) and healthy controls. AGEs, TNF-α, IL-6, IGFBP-7, creatinine and insulin were assessed. Results: TNF-α, AGEs, creatinine and insulin panel had area under the curve (AUC) of 0.913 in distinguishing DM-DD from DM-N (78.7% sensitivity and 100% specificity). IL-6 and AGEs panel had AUC 0.795 for differentiating DM-SD from DM-DD (90.6% sensitivity). IL-6, TNF-α and AGEs panel had AUC 0.924 for differentiating diabetic cardiomyopathy from DM-N (85% sensitivity and specificity). Conclusion: A panel of AGEs, IL-6, TNF-α, insulin and creatinine might be used for early detection of DM-DD among T2DM patients.