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Comparison of pregnancy-associated plasma protein-A, troponin and creatine kinase-MB levels in acute coronary syndrome
Aida Alizamir , Seyed Mahdi Rezvanjoo , Elham Khanlarzadeh , Farnaz Fariba,
Volume 78, Issue 3 (June 2020)
Abstract
Background: Early diagnosis and proper treatment of patient with acute coronary syndrome (ACS) and ischemic heart disease are important in determining prognosis, preventing adverse effects, and may even save lives. In this study, the level of pregnancy-associated plasma protein-A (PAPP-A) in ACS patients was compared with the control group, in addition to cardiac Troponin (cTn) and creatine kinase-myocardial band (CK-MB) markers.
Methods: In this cross-sectional study, 116 patients with ACS were selected by convenience sampling method among patients referring to the emergency department of Farshchian Heart Center, Hamadan University of Medical Science in Iran, from June 2017 to May 2018, and then were compared with 116 healthy persons (control group) in term of PAPP-A, CK-MB and serum cTn biomarkers.
Results: The mean and standard deviation of PAPP-A in acute coronary syndrome (ACS) and control group were 93.85±27.56 and 89.63±7.29, respectively. There was no significant statistical difference between patients with ACS and control group. However, the level of PAPP-A in ST segment elevated myocardial infarction patients (STE-MI) was significantly higher than those with unstable angina (UA) and non-ST segment elevated myocardial infarction (NSTE-MI) (P<0.001). The mean and standard deviation of PAPP-A in patients with acute coronary syndrome with positive and negative troponin results was 99.42±27.52 and 90.69±18.79, respectively (P=0.021). The correlation coefficient between serum PAPP-A and creatine kinase-MB obtained 0.070 (P=0.292).
Conclusion: In patients with ACS, in addition to the increase in cardiac troponin markers (cTn), the serum level of pregnancy-associated plasma protein A (PAPP-A) also increases significantly. Therefore in addition to measuring serum cardiac troponin levels, evaluation and measurement of PAPP-A can also be used to diagnose and management of ACS.

Stature estimation by lower limb anthropometry in Iranian medical students
Shokoofeh Kazemzadeh, Maryam Khanehzad, Sina Mojaverrostami, Soheila Madadi, Tahereh Alizamir,
Volume 82, Issue 8 (November 2024)
Abstract
Background: Estimating the stature and identifying unknown bodies is an important challenge for forensic specialists and anthropologists, especially when dismembered and mutilated body parts are found. The purpose of this study was to predict the stature by measuring lower limb parameters and to determine the relationship between stature and thigh length, leg length, foot length and lower limb length in Iranian medical students.
Methods: This study was conducted in the Department of Anatomy, Tehran University of Medical Sciences, Tehran, Iran in 2019 (May-August). The study population consisted of 200 Iranian medical students (100 males and 100 females, aged 17-36 years). Four lower extremity parameters (thigh length, leg length, foot length, and lower limb length) and stature were measured on the left side according to standard measurement methods. All measurements were performed according to ethical standards provided by the Ethics Committee for Human Experimentations. The measurements were done using standard anthropometric instruments. Linear regression analysis was used to investigate the relationship between the stature and the lengths of the four lower extremity parameters. Then, stature prediction was done based on regression equations. The data were analyzed using SPSS version 25. Independent-samples t-test was used to compare the mean values of the anthropometric measurements between males and females. The relationships between quantitative data were evaluated using the Pearson’s correlation coefficient and linear regression was applied to determine the relationship between stature and lower extremity parameters.
Results: The results of this study indicated a strong correlation between stature and lower limb length (r=0.892, P=0.000), foot length (r=0.852, P=0.000) and thigh length (r=0.805, P=0.000) and a moderate correlation between stature and leg length (r=0.505, P=0.000).
Conclusion: The results of this study suggest that lower limb dimensions and regression equations are appropriate for stature estimation in forensic medicine. However in the future, further research should be conducted to analyze the applicability of these equations for stature estimation in other Iranian populations.

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