Medicine
Permanent URI for this communityhttp://repository.kln.ac.lk/handle/123456789/12
This repository contains the published and unpublished research of the Faculty of Medicine by the staff members of the faculty
Browse
3 results
Search Results
Item Identification of patients with type 2 diabetes with non-alcoholic fatty liver disease who are at increased risk of progressing to advanced fibrosis: a cross-sectional study(BMJ Publishing Group Ltd, 2023) Mettananda, C.; Egodage, T.; Dantanarayana, C.; Fernando, R.; Ranaweera, L.; Luke, N.; Ranawaka, C.; Kottahachchi, D.; Pathmeswaran, A.; de Silva, H.J.; Dassanayake, A.S.INTRODUCTION: Identification of advanced hepatic fibrosis in non-alcoholic fatty liver disease (NAFLD) is important as this may progress to cirrhosis and hepatocellular carcinoma. The risk of hepatic fibrosis is especially high among patients with diabetes with NAFLD. Annual screening of patients with diabetes for fatty liver and calculation of Fibrosis-4 (FIB-4) score and exclusion of significant fibrosis with vibration-controlled transient elastography (VCTE) have been recommended. However, VCTE is expensive and may not be freely available in resource-limited settings. We aim to identify predictors of significant liver fibrosis who are at increased risk of progression to advanced liver fibrosis and to develop a prediction model to prioritise referral of patients with diabetes and NAFLD for VCTE. METHODS AND ANALYSIS: This cross-sectional study is conducted among all consenting adults with type 2 diabetes mellitus with NAFLD at the Colombo North Teaching Hospital, Ragama, Sri Lanka. All patients get the FIB-4 score calculated. Those with FIB-4 ≥1.3 undergo VCTE (with FibroScan by Echosens). Risk associations for progression to advanced liver fibrosis/cirrhosis will be identified by comparing patients with significant fibrosis (liver stiffness measure (LSM) ≥8 kPa) and without significant fibrosis (LSM <8 kPa). A model to predict significant liver fibrosis will be developed using logistic regression. ETHICS AND DISSEMINATION: Ethical approval has been obtained from the Ethics Committee of the Faculty of Medicine, University of Kelaniya (P/66/07/2021). Results of the study will be disseminated as scientific publications in reputable journals.Item Epidemiology of goiters in Sri Lanka with Geographic Information System Mapping: population-based cross-sectional study [Author Reply](Jaypee Brothers Medical Publishers, 2016) Fernando, R.Author Reply to comments by Mayilvaganan, S. Chekavar, A. Agarwal, A. on “Epidemiology of Goiters in Sri Lanka with Geographic Information System Mapping: Population-based Cross-sectional Study, Fernando, R. et. al.” appeared in World Journal of Endocrine Surgery.2015;7(3):55-59Item Epidemiology of goitres in Sri Lanka with Geographic Information System Mapping: a population based cross sectional study(Jaypee Publishers, 2015) Fernando, R.; Chandrasinghe, P.C.; Nandasena, S.; Pathmeswaran, A.BACKGROUND: Sri Lanka is considered an endemic region for goiter. Early researchers have suggested the existence of a goiter belt based on rainfall pattern. Subsequent studies done in school children have challenged this theory. Current study is a community-based cross-sectional study done to assess the epidemiology of goiters. Geographic information system (GIS) mapping of the goiter prevalence is developed for the first time in Sri Lanka. METHODS: Study subjects were selected using a multi-staged cluster sampling with probability proportionate to size (PPS) method. Examination for the presence of goiters was done by two trained investigators and graded. ArcGIS 10 software was used for geostatistical analysis and developing a map by interpolating the data collected for the first time in Sri Lanka. RESULTS: A total of 5200 individuals (female-66%, median age-38 years; range 10-92 years) were assessed and 426 goiters were detected. The adjusted prevalence rate of goiters was 6.8%. Kriging interpolation method was used to develop the most appropriate epidemiological map clustering of high prevalence areas with scattered pockets of high prevalence was observed. Current map does not show a prevalence pattern in relation to the rainfall or elevation above sea level as proposed in the past. CONCLUSION: Goiter prevalence in Sri Lanka appears to be different from earlier proposed patterns. Use of GIS has contributed to develop a comprehensive epidemiological map of goiters demonstrating the absence of an endemic goiter belt in the wet zone as proposed earlier.