Saeed Alipour Parsa
Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran

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The role of the history of coronary heart disease among second degree relatives for predicting coronary artery disease Saeed Alipour Parsa; Farzam Saemifar; Isa Khaheshi; Mohammadreza Naderian
International Journal of Cardiovascular Practice Vol. 1 No. 2 (2016)
Publisher : Publisher: Shahid Beheshti University of Medical Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20286/ijcp-010202

Abstract

Introduction: The history of atherosclerotic disease among second degree family members of patients as a risk factor has not been properly explained. The present study aimed to assess this role in the Iranian population.Methods: This case-control study was performed on 500 consecutive patients, who were candidates for coronary angiography. The presence of Coronary Heart Disease (CHD) history among first and second degree relatives were determined by interviewing the participants.Results: In total, 450 patients were shown to have CHD as the case group and 50 without CHD as the control group. Family history of CHD among first degree relatives was 39.1% for cases and 22.0% for the controls with a significant difference (P = 0.018), however the history of CHD among second degree relatives was not statistically different in the case group and the control group (17.8% vs. 8.0%, P = 0.079). In total, 80 patients had CHD with simultaneous history of disease among their second degree relatives, while 370 with CHD had no history of disease among their second degree relatives. Our study could not find a significant difference between the two CHD groups with and without history of disease among second degree relatives in terms of cardiovascular risk profile.Conclusions: Despite the powerful effect of the presence of family history of CHD in first degree relatives on risk of CHD and its severity, the presence of this history among second degree relatives cannot predict the risk for CHD.
Correlation of platelet indices with TIMI frame count in patients undergoing primary PCI due to ST-segment elevation myocardial infarction Ayoub Salehi; Mohammad Hasan Namazi; Morteza Safi; Hossein Vakili; Habibollah Saadat; Saeed Alipour Parsa; Mohammad Ali Akbarzadeh; Ameneh Moshtaghi; Isa Khaheshi
International Journal of Cardiovascular Practice Vol. 4 No. 3 (2019)
Publisher : Publisher: Shahid Beheshti University of Medical Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29252/ijcp-26632

Abstract

Introduction: Given the fundamental role of platelet indices in the development of atherosclerotic plaque, these indices may play a predictive role for the occurrence of disturbed coronary reperfusion. The present study evaluated the relationship between platelet indices and coronary reperfusion status based on TIMI frame count.Methods: This cross-sectional study was conducted on 98 consecutive patients with STEMI who were candidate for primary PCI at Modarres Hospital in Tehran between January 2016 and January 2018. Venous samples were extracted from all patients before primary PCI. To assess the condition of coronary reperfusion after primary PCI, TIMI frame count related to culprit artery in acute myocardial infarction was determined.Results: The TIMI frame count was positively associated with platelet count (r = 0.320, p = 0.001) and more strongly with platelet to lymphocyte ratio (r = 0.375, p < 0.001), but not with other platelet indices such as PDW, MPV, or PLCR. According to the ROC curve analysis, platelet to lymphocyte ratio was introduced as a valuable parameter for differentiating complete from disturbed reperfusion (AUC = 0.735, 95%CI: 0.613 – 0.858, P = 0.001). The best cutoff value for platelet to lymphocyte ratio in predicting disturbed reperfusion was 146.5 yielding a sensitivity of 81.8% and a specificity of 60.5%. However, other platelet indices could not present this predictive role.        Conclusion: From different platelet indices, the platelet to lymphocyte ratio with predictive accuracy and sensitivity predict coronary perfusion impairment based on the increase in TIMI frame count.