![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextgreen.png)
![Open Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltext_open_medium.gif)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltextred.png)
![Restricted Access](https://i-scholar.in/lib/pkp/templates/images/icons/fulltext_restricted_medium.gif)
Prevalence and Factors Influencing Chronic Kidney Disease in Urban Slum Area of Mysuru City
Subscribe/Renew Journal
Introduction: Chronic Kidney Disease (CKD) leads to high morbidity and mortality in both developing and developed countries. CKD as a complication of non-communicable diseases and as itself leads to huge economic burden to the individual and nation. Screening is the only measure to prevent or delay in progress of early CKD. Hence this study was undertaken in urban slum area of Mysuru with the objectives to estimate the prevalence of Chronic Kidney Disease (CKD) using estimated-Glomerular filtration rate and Urinary abnormalities in people residing in urban slum area of Mysuru and to find out the factors influencing Chronic Kidney Disease
Method: This cross-sectional study was conducted in the urban slum, Mysuru. A total of 828 adults above 18yrs, consenting to participate were included in the study. A semi-structured proforma was used to collect data by interview technique. Serum creatinine was used to calculate eGFR. Urine analysis was done using dipsticks.
Results: The prevalence of CKD of Stage 3 and above (using CKDEPI equation) was found to be 6.8% and proteinuria of 3.5%. Risk factors identified were age, gender, obesity, hypertension, smoking, alcohol and indigenous medicine usage.
Conclusion: Screening for CKD at PHC level with tests like S. Creatinine estimation (hence eGFR calculation) and urine dipstick analysis along with information on age, gender, blood pressure, smoking status and presence or absence of diabetes mellitus can help in implementing preventive measures at grassischolar_main level.
Keywords
![](https://i-scholar.in/public/site/images/abstractview.png)
Abstract Views: 593
![](https://i-scholar.in/public/site/images/pdfview.png)
PDF Views: 0