{"title":"Study of Microalbuminuria in subjects with Type 2 Diabetes with Ischemic heart disease in Rural population in South India","authors":"Indumathi Shankaraiah, N. Kiran","doi":"10.7439/IJBR.V8I12.4518","DOIUrl":null,"url":null,"abstract":"Objectives: Ischemic heart disease (IHD) is the frequent causes of morbidity and mortality worldwide. The prevalence of ischemic heart disease in general population being 2-4%, while in people with type 2 diabetes 9.9% .This study was conducted at Subbaiah Medical College & Research Institute, Shimoga to Study Microalbuminuria in subjects with Type 2 Diabetes mellitus with Ischemic heart disease and without Ischemic heart disease, to assess the cardiovascular health status and to take appropriate steps to prevent further morbidity Methods: We studied 100 patients admitted to Medical wards after meeting the required criteria following investigations was carried out. 1) 12 Lead ECG 2) Spot urine albumin creatinine ratio 3) FBS & PPBS 4) Blood urea and serum creatinine 5) TMT / 2D ECHO 6) Lipid profile. Results: 100 subjects were included, 59% were males and remaining 41% were females.50 subjects were having Type 2 Diabetes with IHD considered as cases, other 50 subjects were having Type 2 Diabetes without IHD considered as controls. Among patients with IHD, maximum UACR value is 276 and minimum value is 20, whereas in patients without IHD, maximum is 42 and minimum is 18.There is significant difference in the mean UACR among patients with and without IHD . T-statistics -7.73 indicates statistically significant with p-value of <0.001 at 5% significance level. Conclusion: Subjects with Type 2 DM with IHD have been found to have higher UACR levels than those subjects without IHD. Screening for UACR can help clinicians estimate a patient's CVD risk and to take appropriate steps to prevent further morbidity.","PeriodicalId":13909,"journal":{"name":"International journal of biomedical research","volume":"2 1","pages":"677-681"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of biomedical research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7439/IJBR.V8I12.4518","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: Ischemic heart disease (IHD) is the frequent causes of morbidity and mortality worldwide. The prevalence of ischemic heart disease in general population being 2-4%, while in people with type 2 diabetes 9.9% .This study was conducted at Subbaiah Medical College & Research Institute, Shimoga to Study Microalbuminuria in subjects with Type 2 Diabetes mellitus with Ischemic heart disease and without Ischemic heart disease, to assess the cardiovascular health status and to take appropriate steps to prevent further morbidity Methods: We studied 100 patients admitted to Medical wards after meeting the required criteria following investigations was carried out. 1) 12 Lead ECG 2) Spot urine albumin creatinine ratio 3) FBS & PPBS 4) Blood urea and serum creatinine 5) TMT / 2D ECHO 6) Lipid profile. Results: 100 subjects were included, 59% were males and remaining 41% were females.50 subjects were having Type 2 Diabetes with IHD considered as cases, other 50 subjects were having Type 2 Diabetes without IHD considered as controls. Among patients with IHD, maximum UACR value is 276 and minimum value is 20, whereas in patients without IHD, maximum is 42 and minimum is 18.There is significant difference in the mean UACR among patients with and without IHD . T-statistics -7.73 indicates statistically significant with p-value of <0.001 at 5% significance level. Conclusion: Subjects with Type 2 DM with IHD have been found to have higher UACR levels than those subjects without IHD. Screening for UACR can help clinicians estimate a patient's CVD risk and to take appropriate steps to prevent further morbidity.