Abstract
Background: Obesity is the most challenging threat all across the globe. It is pandemic and is known to cause various complications, cardiovascular being the most common. Diabetes mellitus itself acts as an adjunct to increase the risk of incident cardiovascular diseases when associated with obesity. Metabolic Healthy Obesity (MHO), Metabolic Obesity Normal Weight (MONW) are some new parameters added to the current obesity variants which have added to further burden of risk stratification. This study was conducted to estimate the proportion of silent ischemia through exercise treadmill test (TMT) in newly detected cases of Diabetes Mellitus (DM) with different obesity phenotypes.
Aim: To estimate the proportion of silent ischemia through exercise treadmill test (TMT) in newly detected cases of Diabetes Mellitus (DM) with different obesity phenotypes.
Method: The present study “ Proportion of silent ischemia through Treadmill test in newly detected cases of Diabetes Mellitus with different obesity phenotypes” was conducted in department of Medicine, Acharya Vinoba Bhave Rural Hospital and Jawaharlal Nehru Medical College, Sawangi (M), Wardha. Newly detected cases (within 6 months of diagnosis) of Diabetes Mellitus as per WHO criteria were divided into different obesity phenotypes as per definitions. Then all the cases were subjected to TMT and proportion of silent ischemia was detected in each ategory and compared with metabolic healthy normal weight controls.
Results: In cases of MetS(11.4%) showed positive TMT, in MHO group 13.89% had a positive TMT , in MONW group 17.51% had positive TMT. The Odd’s of having silent ischemia as compared to normal healthy subjects was 2.35 %, 2.94%, and 3. 82% in MetS, MHO, and MONW respectively.
Conclusion: So newly detected cases of DM should be given due importance for detection of silent ischemia according to their anthropometric status. Primary prevention in form of health education, exercise, dietary and life style modifications should be implemented once these cases are categorised either to be obese or having abnormal metabolic health.