Year :
2019
| Month :
August
| Volume :
13
| Issue :
8
| Page :
OC07 - OC10
Full Version
Effectiveness of Indian Diabetes Risk Score as a Screening Tool for Non-alcoholic Fatty Liver Disease: A Study from Anand, Gujarat, India
Published: August 1, 2019 | DOI: https://doi.org/10.7860/JCDR/2019/41650.13050
Krishna S Mori, Alpa N Patel, Amee A Amin, Ajay G Phatak
1. Senior Resident, Department of Internal Medicine, Shree Krishna Hospital, Karamsad, Anand, Gujarat, India.
2. Professor, Department of Internal Medicine, Shree Krishna Hospital, Karamsad, Anand, Gujarat, India.
3. Research Associate, Central Research Services, Charutar Arogya Mandal, Karamsad, Anand, Gujarat, India.
4. Statistician, Central Research Services, Charutar Arogya Mandal, Karamsad, Anand, Gujarat, India.
Correspondence Address :
Krishna S Mori,
Room No. 8, PG Hostel, Shree Krishna Hospital, Gokalnagar, Karamsad, Anand, Gujarat, India.
E-mail: krishna131mori@gmail.com
Abstract
Introduction: Non-alcoholic fatty liver disease (NAFLD) is widely prevalent in the Gujarati population and also shares risk factors with other Non-communicable diseases (NCDs) such as diabetes, obesity, and metabolic syndrome. Hence, more established screening tools like Indian Diabetes Risk Score (IDRS) may be considered for screening of NAFLD.
Aim: To evaluate the prevalence of NAFLD in Anand, Gujarat and to assess whether IDRS may be used as a screening tool for NAFLD in Gujarat.
Materials and Methods: A cross-sectional observational study involving 217 participants with a mean age of 56.83±11.39 years was conducted at the Health Check-up department at Shree Krishna Hospital, Anand, Gujarat, India. Participants were classified as having NAFLD using the USG parameters. Their IDRS score was calculated and applied to the participants following which its ability to screen NAFLD was compared with that of screening tools such as BMI, W/H Ratio and HBA1c, and risk factors associated with NAFLD. The IDRS was classified as high (=60), medium (30-50), and low (<30) risk. Using univariate analysis in STATA (14.2), factors associated with NAFLD were identified, following which stepwise logistic regression analysis was performed. Differences between the risk groups of IDRS were tested using the chi-square test and analysis of variance.
Results: The prevalence of NAFLD (37.79%) was significantly higher among those with a high (67.7%) and medium IDRS (16%) compared to the low IDRS group (7.4%) (trend chi-square; p<0.001). In stepwise logistic regression, IDRS was associated with NAFLD with an adjusted odds ratio of 1.03 (95% confidence interval 1.00-1.07 with a p-value of 0.036), even after adjusting for potential confounders.
Conclusion: IDRS score can be used to screen for the prevalence of NAFLD.
Keywords
Gujarati population, Metabolic syndrome, Obesity
DOI: 10.7860/JCDR/2019/41650.13050
Date of Submission: Mar 28, 2019
Date of Peer Review: Apr 18, 2019
Date of Acceptance: Jun 06, 2019
Date of Publishing: Aug 01, 2019
FINANCIAL OR OTHER COMPETING INTERESTS: None.
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