Gender Based Differences in Risk Factor Profile and Coronary Angiography of Patients Presenting with Acute Myocardial Infarction in North Indian Population OC05-OC07
Dr. Supriya Bajaj,
C/o Dr. Sumit Grover, Assistant Professor, Department of Pathology, Dayanand Medical College and Hospital,
Ludhiana, Punjab-141001, India.
Introduction: Coronary Artery Disease (CAD) among women presents atypically with atypical chest pain, neck pain, nausea, fatigue and dyspnoea. Co-existing co-morbidities such as Diabetes Mellitus (DM) and hypertension along with difference in risk factor prevalence makes it necessary to have a gender specific approach.
Aim: To study gender specific differences in diagnosing and treating Acute Myocardial Infarction (AMI) in North Indian population.
Materials and Methods: Fifty consecutive men and women presenting with AMI were studied. A detailed history including symptoms, history of DM, hypertension, smoking and dyslipidaemia was obtained. ECG, evaluation of cardiac enzymes (CPK-MB, Troponin I), RBS, lipid profile, two dimensional transthoracic echocardiography and coronary angiography were performed. The data was statistically analysed.
Results: Among 100 patients (50 males and females each), we found a later age at presentation (62 y vs 56.5 y) and higher prevalence of diabetes (52% vs 24%, p=0.004) and hypertension (46% vs 28%) among females but more dyslipidaemia (34% vs 26%), smoking (44% vs 0%, p=0.0) and higher BMI (25.58 vs 23.74, p=0.019) among males. More females presented with atypical symptoms (16% vs 6%) and were detected to have insignificant CAD (14% vs 2%) than males.
Conclusion: North Indian women with presentation at a later age, with atypical symptoms, more incidences of risk factors such as diabetes and hypertension along with lesser dyslipidaemia and BMI than males need a higher index of suspicion while evaluating them for CAD. Misdiagnosis is more likely because of atypical presentation. A milder disease on angiography and a lower incidence of multiple vessel disease is a common finding. We recommend more and larger Indian studies to acquire more data so that this growing prevalence of CAD in women can be curbed.