Comparison of Risk Factors and Angiographic Profile between Younger and Older Patients with Acute Myocardial Infarction.

Acute myocardial infarction (AMI) in younger adults (≤40 years) is being increasingly encountered in recent years among the South Asian population. Data regarding the presentation, risk factors and angiographic findings on this important subset of patients is lacking in our country. The aim of this study was to compare the risk factors and pattern of Coronary artery involvement in younger patients presenting with AMI with that of the older age group. This was a cross-sectional observational study conducted during the period from October 2018 to June 2019. Seventy consecutive AMI patients age ≤40 years and another 70 consecutive AMI patients age >40 years undergoing Coronary Angiogram (CAG) were included in the study. After taking informed written consent; demographic, anthropometric, risk factors, CAG findings were recorded in a pre-designed case record form. The severity of Coronary Artery Disease (CAD) was calculated by using Gensini score. The mean age of the younger and older patient groups was 36.89±4.4 years and 57.00±8.4 years respectively. Among the risk factors, smoking (67.1% versus 45.7%, p=0.017), positive family history CAD (38.6% versus 22.9%, p=0.040) and obesity (34.3% versus 20.0%, p= 0.05) were more common in younger group. Whereas, Hypertension (41.4% versus 72.9%, p=0.010) and DM (28.6% versus 50.0%, p=0.024) were more common in older patients. Younger patients mainly presented with STEMI (60.0% versus 48.6%) and predominantly had single vessel disease (42.9%), whereas older patients readily presented with NSTEMI (51.4%) and had a higher incidence of double vessel disease (32.9%) and triple vessel disease (30.0%). The Median Gensini score was significantly higher among the older patients than in the younger age group. Patients in younger age group showed a different pattern of risk factors and coronary artery involvement in comparison to the older age group. Thus, offering younger individuals to make them aware of these risk factors and their early detection, as well as an effective intervention may help to prevent AMI in younger people.

Predictive Value of Waist Height Ratio, Waist Hip Ratio and Body Mass Index in Assessing Angiographic Severity of Coronary Artery Disease in Myocardial Infarction Patients.

Coronary artery disease (CAD) is the leading cause of mortality and morbidity both in developed and developing countries. The body mass index (BMI), waist hip ratio (WHR) and waist height ratio (WHtR) are some of the clinical tools enabling clinicians to assess obesity. Although for decades there have been controversy regarding the relationship between obesity and CAD; it has been assumed that high BMI is a risk factor for CAD. However, the findings of some recent studies were paradoxical. The aim of this study was to identify the best tool among BMI, WHtR and WHR to evaluate angiographically severe CAD in myocardial infarction patients. This was a cross-sectional analytical study carried out in the Department of Cardiology, Chattogram Medical College and Hospital (CMCH), Chattogram, Bangladesh from January 2017 to December 2017. Three hundred and thirty two consecutive MI patients undergoing CAG during the study period were included in the study as per inclusion and exclusion criteria. Severity of CAD was calculated by using Gensini score. Patients were categorized and compared according to anthropometric indices and CAD severity. The mean±SD of the age of study population was 53.62±10.36 years (range 25-92) and 276(83.1%) were male. Regarding cardiovascular risk factors, 113(34%) patients had diabetes mellitus, 108(32.5%) had dyslipidaemia, 137(41.3%) had hypertension, 205(61.7%) were current or ex-smokers and 59(17.8%) had a family history of CAD. The mean±SD of the patients' BMI was 24.05±3.24kg/m² (range 16.14-32.72), mean±SD of their WHR was 0.964±0.052 (range 0.823-1.125) and mean±SD of their WHtR was 0.546±0.059 (range 0.389-0.748). The mean±SD of the severity of CAD according to the Gensini score was 41.11±28.66 (ranged from 2 to 244). Study findings showed a positive correlation between the severity of CAD with WHtR and WHR but not with BMI, according to Gensini scores (p=0.004, p=0.023 and p=0.43 respectively). Receiver Operating Characteristics (ROC) curve analysis revealed that waist height ratio had the highest area under the curve (AUC) among the three anthropometric parameters for predicting presence of severe CAD. Study showed the superiority of WHtR over WHR and BMI for predicting angiographic severity of CAD in patients with MI. WHtR should therefore be considered as a screening tool.