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Utilization of Mean Platelet Volume (MPV) to Predict Perfusion Defects in Myocardial SPECT in Diabetic and Non-Diabetic Patients

Authors :
Maryam Arefnia
Toktam Hosseinnezhad Ariani
Mohammadali Ghodsirad
Toktam alirezaei
Elinaz Hosseinzade
Mahasti Amoui
Elahe pirayesh
Ghazal Norouzi
Publication Year :
2022
Publisher :
Research Square Platform LLC, 2022.

Abstract

Introduction ; An increase in the average volume of platelets has been associated with poor outcomes in patients with acute coronary syndrome. The aim of this study was to assess the use of myocardial perfusion scans to study the association between MPV and myocardial perfusion abnormalities in patients with and without diabetes mellitus (DM). diabetic and non-diabetic patients. Materials and Methods ; This was a cross-sectional study. Forty-nine patients with known type 2 diabetes DM and without obvious cardiovascular symptoms and 49 healthy individuals were included. A myocardial perfusion scan was performed in rest and stress with dipyridamole/dobutamine/exercise testing. Data entered SPSS software and analyzed. A p value below 0.05 was considered as statistically significant. Results; In total, 98 participants including 49 patients with DM and 49 healthy individuals were included. Laboratory variables as well as cardiac scan items including Summed Stress Score (SSS), Summed Rest Score (SRS), Summed Difference Score (SDS), Ejection Fraction (EF) and End Systolic Volume (ESV) were not statistically different in the two groups. Only the average platelet count was higher in controls than diabetics. In regression analysis, by one-unit increase in MPV, the SRS increased by an average of 0.46 (CI; 0.08–0.83 β: 0.46), only in healthy controls. Discussion and Conclusion ; MPV is a predictor of myocardial perfusion defects, which could be measured easily for patients in different clinical scenarios as a herald for coronary artery disease, especially in healthy individuals.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........00cd5395e28474d1e738c9992ca161bc