Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic Patients
Background: This study aimed to evaluate the relationship between mean platelet volume (MPV) and myocardial perfusion abnormalities in patients with and without Type 2 diabetes mellitus (DM) using myocardial perfusion scans. Materials and Methods: This cross-sectional study compared 49 patients wi...
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Shahid Beheshti University of Medical Sciences
2025-01-01
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| Series: | Novelty in Biomedicine |
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| Online Access: | https://journals.sbmu.ac.ir/nbm/article/view/46513 |
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| author | Maryam Arefnia Toktam Hosseinnezhad Ariani Mohammadali Ghodsirad Toktam Alirezaei Elinaz Hosseinzadeh Mahesti Amoui Elaheh Pirayesh Ghazaal Norouzi |
| author_facet | Maryam Arefnia Toktam Hosseinnezhad Ariani Mohammadali Ghodsirad Toktam Alirezaei Elinaz Hosseinzadeh Mahesti Amoui Elaheh Pirayesh Ghazaal Norouzi |
| author_sort | Maryam Arefnia |
| collection | DOAJ |
| description | Background: This study aimed to evaluate the relationship between mean platelet volume (MPV) and myocardial perfusion abnormalities in patients with and without Type 2 diabetes mellitus (DM) using myocardial perfusion scans.
Materials and Methods: This cross-sectional study compared 49 patients with Type 2 DM without overt cardiovascular symptoms with 49 healthy controls. Both groups underwent myocardial perfusion scans at rest and under stress conditions. Risk factors were assessed and recorded using a special research-made questionnaire. A complete blood count and MPV results were obtained using the Sysmex - KX-21 system. Data were analyzed using SPSS, with a p-value below 0.05 considered statistically significant.
Results: No significant differences were observed between the two groups in terms of Summed Stress Score (SSS), Summed Rest Score (SRS), Summed Difference Score (SDS), Ejection Fraction (EF), and End Systolic Volume (ESV). The only marked variance was a higher average platelet count in the control group. Regression analysis revealed that a one-unit increase in MPV correlated with a 0.46 average increase in SRS in the control group (CI: 0.08-0.83, β: 0.46).
Conclusion: MPV may serve as a predictive marker for myocardial perfusion abnormalities, especially in individuals without diabetes. This simple metric could act as an early indicator for coronary artery disease. |
| format | Article |
| id | doaj-art-18dec6ff45454f6f8fa5549917aca502 |
| institution | Kabale University |
| issn | 2345-3907 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Shahid Beheshti University of Medical Sciences |
| record_format | Article |
| series | Novelty in Biomedicine |
| spelling | doaj-art-18dec6ff45454f6f8fa5549917aca5022025-01-20T05:01:18ZengShahid Beheshti University of Medical SciencesNovelty in Biomedicine2345-39072025-01-0113110.22037/nbm.v13i1.4651336412Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic PatientsMaryam Arefnia0Toktam Hosseinnezhad Ariani1Mohammadali Ghodsirad2Toktam Alirezaei3Elinaz Hosseinzadeh4Mahesti Amoui5Elaheh Pirayesh6Ghazaal Norouzi71Clinical research development unit of Shohada Tajrish Hospital Shahid Beheshti University of Medical Sciences, Tehran, Iran, 2Nuclear medicine department, Shohada Tajrish hospital, School of medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran4Nuclear Medicine Research Center, Mashhad University of Medical Sciences, Mashhad, Iran1Clinical research development unit of Shohada Tajrish Hospital Shahid Beheshti University of Medical Sciences, Tehran, Iran, 2Nuclear medicine department, Shohada Tajrish hospital, School of medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran1Clinical research development unit of Shohada Tajrish Hospital Shahid Beheshti University of Medical Sciences, Tehran, Iran, 3Cardiology department of Shohada Tajrish hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran1Clinical research development unit of Shohada Tajrish Hospital Shahid Beheshti University of Medical Sciences, Tehran, Iran, 2Nuclear medicine department, Shohada Tajrish hospital, School of medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran2Nuclear medicine department, Shohada Tajrish hospital, School of medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran2Nuclear medicine department, Shohada Tajrish hospital, School of medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran2Nuclear medicine department, Shohada Tajrish hospital, School of medicine, Shahid Beheshti University of Medical Sciences, Tehran, IranBackground: This study aimed to evaluate the relationship between mean platelet volume (MPV) and myocardial perfusion abnormalities in patients with and without Type 2 diabetes mellitus (DM) using myocardial perfusion scans. Materials and Methods: This cross-sectional study compared 49 patients with Type 2 DM without overt cardiovascular symptoms with 49 healthy controls. Both groups underwent myocardial perfusion scans at rest and under stress conditions. Risk factors were assessed and recorded using a special research-made questionnaire. A complete blood count and MPV results were obtained using the Sysmex - KX-21 system. Data were analyzed using SPSS, with a p-value below 0.05 considered statistically significant. Results: No significant differences were observed between the two groups in terms of Summed Stress Score (SSS), Summed Rest Score (SRS), Summed Difference Score (SDS), Ejection Fraction (EF), and End Systolic Volume (ESV). The only marked variance was a higher average platelet count in the control group. Regression analysis revealed that a one-unit increase in MPV correlated with a 0.46 average increase in SRS in the control group (CI: 0.08-0.83, β: 0.46). Conclusion: MPV may serve as a predictive marker for myocardial perfusion abnormalities, especially in individuals without diabetes. This simple metric could act as an early indicator for coronary artery disease.https://journals.sbmu.ac.ir/nbm/article/view/46513mean platelet volumemyocardial perfusion scandiabetes mellituscoronary heart disease |
| spellingShingle | Maryam Arefnia Toktam Hosseinnezhad Ariani Mohammadali Ghodsirad Toktam Alirezaei Elinaz Hosseinzadeh Mahesti Amoui Elaheh Pirayesh Ghazaal Norouzi Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic Patients Novelty in Biomedicine mean platelet volume myocardial perfusion scan diabetes mellitus coronary heart disease |
| title | Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic Patients |
| title_full | Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic Patients |
| title_fullStr | Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic Patients |
| title_full_unstemmed | Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic Patients |
| title_short | Utilization of Mean Platelet Volume for Predicting Ischemic Heart Disease in Diabetic and Non-Diabetic Patients |
| title_sort | utilization of mean platelet volume for predicting ischemic heart disease in diabetic and non diabetic patients |
| topic | mean platelet volume myocardial perfusion scan diabetes mellitus coronary heart disease |
| url | https://journals.sbmu.ac.ir/nbm/article/view/46513 |
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