Gender Based Differences in Risk Factor Profile and Coronary Angiography of Patients Presenting with Acute Myocardial Infarction in North Indian Population
Published: May 1, 2016 | DOI: https://doi.org/10.7860/JCDR/2016/.7725
Supriya Bajaj, Vijay Mahajan, Sumit Grover, Amit Mahajan, Nipun Mahajan
1. Senior Resident, Department of Medicine, Tagore Hospital and Heart Care Center, Jalandhar, Punjab, India.
2. Director and Head of Department, Department of Medicine, Tagore Hospital and Heart Care Center, Jalandhar, Punjab, India.
3. Assistant Professor, Department of Pathology, Dayanand Medical College and Hospital, Ludhiana, Punjab, India.
4. Consultant, Department of Medicine, Tagore Hospital and Heart Care Center, Jalandhar, Punjab, India.
5. Consultant, Department of Cardiology, Tagore Hospital and Heart Care Center, Jalandhar, Punjab, India.
Correspondence
Dr. Supriya Bajaj,
C/o Dr. Sumit Grover, Assistant Professor, Department of Pathology, Dayanand Medical College and Hospital,
Ludhiana, Punjab-141001, India.
E-mail: supriyabajaj1913@gmail.com
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.
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