Browsing by Author "Piyaratna, T.A.C.L."

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Lean non-alcoholic fatty liver disease (lean NAFLD): characteristics, metabolic outcomes and risk factors from a 7-year prospective, community cohort study from Sri Lanka
(Springer, 2019) Niriella, M.A.; Kasturiratne, A.; Pathmeswaran, A.; de Silva, S.T.; Perera, K. R.; Subasinghe, S.K.C.E.; Kodisinghe, S.K.; Piyaratna, T.A.C.L.; Vithiya, K.; Dassanayake, A.S.; de Silva, A.P.; Wickremasinghe, A.R.; Takeuchi, F.; Kato, N.; de Silva, H.J.
INTRODUCTION: While patients with non-alcoholic fatty liver disease (NAFLD) are mostly overweight or obese, some are lean. METHODS: In a community-based follow-up study (baseline and follow-up surveys performed in 2007 and 2014), we investigated and compared the clinical characteristics, body composition, metabolic associations and outcomes, and other risk factors among individuals with lean (BMI < 23 kg/m2) NAFLD, non-lean (BMI ≥ 23 kg/m2) NAFLD and those without NAFLD. To investigate associations of selected genetic variants, we performed a case-control study between lean NAFLD cases and lean non-NAFLD controls.RESULTS: Of the 2985 participants in 2007, 120 (4.0%) had lean NAFLD and 816 (27.3%) had non-lean NAFLD. 1206 (40.4%) had no evidence of NAFLD (non-NAFLD). Compared to non-lean NAFLD, lean NAFLD was commoner among males (p < 0.001), and had a lower prevalence of hypertension (p < 0.001) and central obesity (WC < 90 cm for males, < 80 cm for females) (p < 0.001) without prominent differences in the prevalence of other metabolic comorbidities at baseline survey. Of 2142 individuals deemed as either NAFLD or non-NAFLD in 2007, 704 NAFLD individuals [84 lean NAFLD, 620 non-lean NAFLD] and 834 individuals with non-NAFLD in 2007 presented for follow-up in 2014. There was no difference in the occurrence of incident metabolic comorbidities between lean NAFLD and non-lean NAFLD. Of 294 individuals who were non-NAFLD in 2007 and lean in both 2007 and 2014, 84 (28.6%) had developed lean NAFLD, giving an annual incidence of 4.1%. Logistic regression identified the presence of diabetes at baseline, increase in weight from baseline to follow-up and a higher educational level as independent risk factors for the development of incident lean NAFLD. NAFLD association of PNPLA3 rs738409 was more pronounced among lean individuals (one-tailed p < 0.05) compared to the whole cohort sample. CONCLUSION: Although lean NAFLD constitutes a small proportion of NAFLD, the risk of developing incident metabolic comorbidities is similar to that of non-lean NAFLD. A PNPLA3 variant showed association with lean NAFLD in the studied population. Therefore, lean NAFLD also warrants careful evaluation and follow-up.
Lean non-alcoholic fatty liver disease (Lean-NAFLD): characteristics and risk factors from a community cohort follow up study
(Sri Lanka Medical Association, 2016) Niriella, M.A.; de Silva, S.T.; Kasturiratne, A.; Perera, K.R.; Subasinghe, S.K.C.E.; Kodisinghe, S.K.; Piyaratna, T.A.C.L.; Vithiya, K.; Dassanayake, A.S.; de Silva, A.P.; Pathmeswaran, A.; Wickremasinghe, A.R.; Kato, N.; de Silva, H.J.
INTRODUCTION AND OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is usually associated with obesity. However, some NAFLD patients are lean. We assessed the characteristics and risk factors for lean-NAFLD. METHOD: In a community cohort follow up study (initial screening-2007, re-evaluation-2014), NAFLD was established on USS criteria and exclusion of alcohol overuse and secondary causes. Lean (BMI <23 kg/m2) and non-lean (BMI ≥23 kg/m2) NAFLD were compared. The two groups were compared for differences in gender, diabetes, hypertension, hypertriglyceridemia, low-HDL, weight and waist circumference (WC) at baseline. They were also compared for differences in development of incident diabetes, hypertension, hypertriglyceridemia, low-HDL, and change in weight and WC. RESULTS: 678 (69.6%) individuals with NAFLD detected in 2007 presented for follow up in 2014. 78(11.5%) [males-32(41%); mean-age 53.7(SD-7.1) years] were lean and 600(88.5%) [males-191(31.8%); mean-age 52.3(SD-7.5) years] were non-lean. Hypertension (p=0.007) and a smaller WC (<90cm for males, <80cm for females) (p<0.001) were associated with lean-NAFLD. After 7 years, change in BMI was less (p=0.022) among lean-NAFLD. There were no differences in change in WC or incident metabolic co-morbidities. Of those who did not have NAFLD in 2007, 746 developed incident NAFLD in 2014; lean-NAFLD 193/746 (25.9%) [males-100(51.8%); mean age 59.6(SD-7.5)], non-lean-NAFLD 553/746 (74.1%) [males-201(36.3%); mean age 58.2(SD-7.7)]. On logistic regression analysis, presence of diabetes (p=0.002, OR 2.1) and raised WC (p=0.003, OR 1.7) were associated with incident lean-NAFLD. CONCLUSIONS: Among individuals with NAFLD, lean-NAFLD is associated with hypertension and smaller WC. In the community, diabetes and bigger WC predict incident lean-NAFLD.
Patterns of alcohol use and occurrence of alcoholic fatty liver disease: a prospective, community cohort, 7-year follow-up study
(Sri Lanka Medical Association, 2017) Niriella, M.A.; de Silva, S.T.; Kasturiratne, A.; Perera, K.R.; Subasinghe, S.K.C.E.; Kodisinghe, S.K.; Piyaratna, T.A.C.L.; Vithiya, K.; Dassanayake, A.S.; de Silva, A.P.; Pathmeswaran, A.; Wickremasinghe, A.R.; Kato, N.; de Silva, H.J.
INTRODUCTION & OBJECTIVES: Data is limited on alcoholic fatty liver disease (AFLD). We investigated patterns of alcohol use and AFLD, among urban, adult, Sri Lankans. METHODS: Study population (selected by age-stratified random sampling from Ragama MOH-area) was screened initially in 2007 (35-64 years) and re-evaluated in 2014. On both occasions they were assessed by structured-interview, anthropometric measurements, liver ultrasound, biochemical and serological tests. AFLD was diagnosed on ultrasound criteria, unsafe alcohol consumption (Asian standards: males>14units, females>7units per week) and absence of hepatitis B/C markers. Controls were individuals with unsafe alcohol consumption, but had no ultrasound criteria of AFLD. Case-control genetic-association for PNPLA3 (rs738409) polymorphism for AFLD was performed. RESULTS: A total of 2983/3012 (99%) had complete data. 272/2983(9.1%) were unsafe-drinkers [males- 70; mean-age 51.9 (SD-8.0) years]. 86/2983 (2.9%) of the cohort and 86/272 (31.6%) of unsafe-drinkers had AFLD [males-85; mean-age 50.2 (SD-8.6) years]. Males [p<0.001], increased waist circumference (WC) [p=0.001], BMI>23kg/m2 [p<0.001], raised triglycerides (TG) [p<0.001], low education level (LEL-not completed secondary-education) [p<0.01] and low monthly household-income (23kg/m2 [p<0.001], raised TG [p<0.001] and LEL [p<0.05] independently predicted incident-AFLD. The genetic association study [133-cases (combined 2007-2014), 97-controls] showed no association with AFLD at PNPLA3 (rs738409). CONCLUSION: The prevalence of AFLD was 2.9% in 2007 and annual incidence among heavy drinkers, after 7-year follow-up was 5.7%. Incident-AFLD was associated with males, obesity, raised TG and LEL.
Prevalence and risk factors for metabolic syndrome among aging adults in an urban Sri Lankan population
(Sri Lanka Medical Association, 2015) Kasturiratne, K.T.A.A.; Niriella, M.A.; de Silva, S.T.; Perera, K.R.; Subasinghe, S.K.C.E.; Kodisinghe, S.K.; Piyaratna, T.A.C.L.; Vithiya, K.; Kottachchi, D.; Ranawaka, U.K.; Jayasinghe, C.; Rajindrajith, S.; Dassanayake, A.S.; de Silva, A.P.; Pathmeswaran, A.; de Silva, H.J.
INTRODUCTION AND OBJECTIVES: Metabolic syndrome (MetS) is assumed to be of high prevalence in the Asian region. However, its community prevalence and risk factors in South Asia is poorly studied. We determined the prevalence and risk factors for MetS among adults in an urban Sri Lankan population. METHOD: The study population consisted of 42-71 year old adults, selected by stratified random sampling from the Ragama Medical Officer of Health area. MetS was defined by the International Diabetic Federation criteria with ethnic specific cutoffs. Anthropometric measurements, blood pressure (BP) and body fat distribution estimates were made. Glycosylated hemoglobin, fasting serum lipids, serum alanine aminotransferase (ALT) and serum creatinine (SCr) with estimated glomerular filtration rate (eGFR) were determined. CKD was defined as GFR<60ml/min/1.72m2 (KDIGO/KDOQI classification), USS abdomen was performed to detect fatty liver and non-alcoholic fatty liver disease (NAFLD) was diagnosed on safe alcohol consumption (< 14 units/week for men, < 7 units/week for females) and absence of hepatitis B and C markers. RESULTS: 2155 (1244 [57.7%] women, mean age 59.2 years [SD, 7.7]) participated. 1014 (47.1%) [mean age 59.2 years (SD, 7.7), 256 (28.1%) men; 758 (60.9%) women] had MetS. On multivariate analysis female gender, abnormal total body fat and abnormal visceral fat level (>10%) and presence of NAFLD were independently associated with MetS. Age 65 or more, raised ALT and CKD were not associated with MetS. CONCLUSION: The prevalence of MetS among adults in this aging urban Sri Lankan community was high and is independently associated with female gender, abnormal body fat distribution and presence NAFLD.