Three Dimensions global radial strain and coronary artery disease severity | ||
| Minia Journal of Medical Research | ||
| Articles in Press, Accepted Manuscript, Available Online from 13 October 2024 | ||
| Document Type: Original Article | ||
| DOI: 10.21608/mjmr.2024.325142.1808 | ||
| Authors | ||
| Khaled Sayed Mahmoud1; Mohamed Abd Elsayed* 2; Hossam Eldin M. Mahmoud3; Amr Mostafa Setohi Abdelhafez4 | ||
| 1Professor and Head of Cardiology Department-Faculty of Medicine - Minia University | ||
| 2Assistant lecturer of cardiology, Faculty of medicine, South valley university. | ||
| 3Cardiology Division, Qena Faculty of medicine, South Valley university | ||
| 4cardiology department ,faculty of medicine ,minia university | ||
| Abstract | ||
| Background: The most prevalent cardiovascular disease is coronary artery disease (CAD). According to the European Society of Cardiology's (ESC) current classification, stable angina pectoris, also known as chronic coronary syndrome, is a common condition that can be disabling. Early-stage coronary artery disease detection may benefit from the use of certain novel noninvasive techniques. In our study, we assessed the relationship between coronary artery disease (CAD) severity and the 3-dimensional global radial strain (GRS) at rest among individuals with stable angina pectoris. Methods: This Prospective cohort work had been performed on 90 participants aging from 18 to 80 years old, with Stable angina pectoris. Participants had been subdivided into three groups: Group I (n=30): control group with normal coronary angiography and group II (n=60): patients group which subdivided according to Gensini score into two equal subgroups: IIa: simple lesion, low gensini score (Gensini score < 20) and group IIb: complex lesion, high gensini (Gensini score of ≥20). Results: LV end-diastolic volume , Left ventricular (LV) end-systolic volume, , global radial strain (GRS and LV ejection fraction (LVEF) had been significantly various across the three groups (P <0.0.05). GRS can significantly predict severity of CAD in CCS at cut-off ≤ 32 and 90.0% sensitivity, 73.33% specificity, 62.79% PPV and 93.62% NPV with accuracy of 78.89%. Conclusions: GRS significantly predict severity of CAD in CCS. | ||
| Keywords | ||
| Keywords: Three Dimensions global radial strain Coronary Artery Disease; Chronic Coronary Syndrome; stable angina pectoris; Gensini Score | ||
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