Increased risk of acute myocardial infarction associated with beedi and cigarette smoking in Indians: final report on tobacco risks from a case-control study.

BACKGROUND: Tobacco smoking is an important risk factor for ischemic heart disease. In India, tobacco is smoked both as cigarettes and beedies. No studies have evaluated their importance as risk factors for ischemic heart disease among the Indian population. The present study explores the importance of smoking either cigarettes or beedies as risk factors for acute myocardial infarction. METHODS AND RESULTS: The study had a case-control design and was conducted in a tertiary teaching hospital in Bangalore. Three hundred subjects aged 30-60 years with a first acute myocardial infarction and 300 age- and sex-matched controls were recruited prospectively. Smoking, dietary and social history were recorded, body mass index and waist-hip ratio measured, and blood glucose, lipids, fasting plasma and insulin levels estimated. Cases and controls had a mean age of 47.2 years and 46.8 years, respectively. There were 279 (93%) males in each group. Diabetes mellitus (odds ratio 2.69, p<0.0009). hypertension (odds ratio 2.36, p=0.0009), fasting and post-load blood glucose (p<0.0001). and waist-hip ratio (p<0.0001) were found to be important risk factors for acute myocardial infarction. Smoking was an independent risk factor with a clear dose effect. Adjusted odds ratio for smoking > or = 10 cigarettes/day was 3.58 (p<0.0001) and was 4.36 (p<0.0001) for smoking > or = 10 beedies/day. CONCLUSIONS: Smoking > or = 10 cigarettes or beedies/day carries an independent four-fold increased risk of acute myocardial infarction. This reiterates the need for urgent tobacco control measures in India.

Use of the logistic organ dysfunction system to study mortality in an Indian intensive care unit.

BACKGROUND: Mortality in Indian intensive care units has not been well studied. Scoring systems are used to predict mortality of patients admitted to such units. Some scoring systems predict hospital mortality while others predict mortality in intensive care units. We used the logistic organ dysfunction system to study the hospital and intensive care unit mortalities in our intensive care unit. METHODS: We prospectively studied 527 consecutively admitted patients in 1997 to the medical intensive care unit in St John's Medical College Hospital, Bangalore. The outcomes studied were death in hospital and death in the intensive care unit. Using standardized mortality ratios, we compared our observed hospital and intensive care unit mortalities with the hospital mortality predicted by the logistic organ dysfunction system. RESULTS: The standardized mortality ratios for hospital deaths was 1.3 with a confidence interval of 1.17-1.49 and for intensive care unit deaths it was 1.0 with a confidence interval of 0.89-1.18. The hospital mortality rates in our setting are significantly higher (p < 0.05) than the predicted hospital mortality rates of the published western model for intensive care unit patients. The intensive care unit mortality rates are not significantly different from the predicted hospital mortality rates of the published western model for intensive care unit patients. CONCLUSION: Our intensive care unit mortality rate is comparable to the western hospital mortality rate. However, after transfer of patients out of the unit, the hospital mortality is higher.