Affiliation:
1. DNB Cardiology Fortis / Postgraduate Student Medicine Hospital, Delhi. ASCOMS Hospital, Jammu
2. * Senior Consultant Amandeep/ Postgraduate Student Medicine Hospital ,pathankot ASCOMS Hospital, Jammu.
Abstract
Background: World incidence of diabetes is 463 million in 2019 and rise to700 million 2045. Incidence of diabetes is 88 million in SEA in 2019 and rise to 153 million by 2045 IDF(2019) the present study was planned to assess the correlation between Insulin resistance and QTc interval in Type 2 Diabetes. Methods:An observational hospital based cross-sectional study lasting one year from 1st November 2012 to 31st October 2013 was conducted in Post-Graduate Department of Medicine AcharyaShriChander Hospital Sidhra, Jammu. The study was approved by the Institutional Ethics Committee, Jammu University. All patients were subjected to thorough history,examination and necessary investigations. QTc interval was assessed using Bazzet’s formula and insulin resistance was estimated at the baseline by Homeostasis Model Assessment (HOMA) described by Matthews et al.Results: In this present observational cross-sectional study, a total of 82 patients were screened, out of which 61 patients met the inclusion criteria and hence, were the subjects. Among them 11 patients were enrolled from indoors while 50 patients were from outdoors. Out of 61 subjects, males and females were almost equally represented with a slight preponderance of female subjects. There were 29 (47.5%) male subjects and 32 (52.5%) female subjects. Their age ranged from 33-68 years. Mean age was 54.393 (±9.204) years. One fourth of the patients (15/61 i.e. 24.6%) were observed to have prolonged QTc interval while three-fourths 46 (75.4%) had QTc interval within the normal range. The mean QTc Interval of study cohort was 0.416 (±0.040)Conclusion:-In this study the frequency of prolonged QTc interval among Type 2 DM patients was considerably high (24.6%). These findings support that patients with Type 2 DM who have prolonged QTc interval have a high risk of major cardiovascular complications and it could be utilized as a rapid, objective and cost-effective screening method to identify patients at high risk for cardiovascular events.