Assessment of segmental left ventricular thickening in diabetic type II obese patients with normal myocardial perfusion scan.

Autor: Al-Makhamreh HK; Faculty of Medicine, Department of Internal Medicine, Jordan University Hospital, Queen Rania Street, Amman 11942 Jordan. h.makhamreh@ju.edu.jo, hmakhamreh@hotmail.com., AlSharif AA, Abujbara MA, Al-Ibraheem AN, Obeidat OS, AlKawaleet YI, Darawsheh A, Liswi MI, Ajlouni KM
Jazyk: angličtina
Zdroj: Hellenic journal of nuclear medicine [Hell J Nucl Med] 2017 Sep-Dec; Vol. 20 (3), pp. 222-226. Date of Electronic Publication: 2017 Nov 27.
DOI: 10.1967/s002449910603
Abstrakt: Objective: The aim of this study is to investigate whether gated single photo emission tomography (gSPET) can be used to detect subclinical left ventricular systolic dysfunction (LVSD) in obese diabetic type II patients.
Subjects and Methods: We retrospectively reviewed gSPET images of 190 patients with diabetes mellitus type II (DM II) (137 females and 53 males) with normal myocardial perfusion and normal ejection fraction (EF). Standardized twenty segment polar maps of thickening and motion were generated. Correlation between body mass index (BMI) and thickening for each segment was performed.
Results: Statistically significant results were reported in female patients including: negative correlation between BMI and EF (-0.19, P=0.03). End diastolic volume (EDV) also significantly increased with increasing BMI (0.25, P<0.01). There was also statistically significant negative correlation between septal thickening and BMI segment 15 (-0.19, P=0.02), segment 16 (-0.22, P=0.01), segment 18 (-0.20, P=0.01), segment 19 (-0.25, P=0.003), segment 20 (-0.2, P=0.02)]. No statistical significant correlation was found between thickening and BMI in male patients.
Conclusion: This is the first time where thickening as measured by gSPET has been used to demonstrate subclinical LVSD in DM II obese patients. The relationship between gender and obesity on cardiovascular function and structure needs further investigations.
Databáze: MEDLINE