Medicine
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Item Incidence and risk factors for metabolic syndrome among urban, adult Sri Lankans: a prospective, 7-year community cohort, follow-up study.(BioMed Central, 2019) de Silva, S.T.; Niriella, M.A.; Ediriweera, D.S.; Kottahachchi, D.; Kasturiratne, A.; de Silva, A.P.; Dassanayake, A.S.; Pathmeswaran, A.; Wickremasinghe, A.R.; Kato, N.; de Silva, H.J.BACKGROUND:The metabolic syndrome (MetS) is a clustering of abdominal obesity, diabetes and prediabetes, high cholesterol and high blood pressure, that confers an increased risk of cardiovascular disease. There is limited data on incidence of MetS from South Asia. This study investigated incidence and risk factors for new onset MetS in an urban adult Sri Lankan population.METHODS:Subjects (selected by age-stratified random sampling from the Ragama Medical Officer of Health area) were screened initially in 2007 (35-64 years) and re-evaluated in 2014 (42-71 years). On both occasions they were assessed by structured interview, anthropometric measurements, liver ultrasound, and biochemical/serological tests. MetS was diagnosed on International Diabetes Federation (IDF-2006) criteria. Total body fat (TBF) and visceral fat percentage (VFP) were measured in 2014, using body impedance method. Incidence and factors at baseline, associated with new onset MetS, were investigated among those who presented for re-evaluation.RESULTS:2985 (99.1%) [1636 (54.8%) women (54.8%); median age (IQR) 53 (47-59) years] from the initial cohort in 2007 had complete data. 2148 (71.9%) [1237 (57.6%) women; median age (IQR) 60 (54-66) years] attended follow-up. 949 of them [701 (73.9%) women; median age (IQR) 60 (54-65) years] had MetS (prevalence 47.2%, 95% CI 45.0-49.4%). Of 1246 who did not have MetS in 2007, 265 [178 (67.1%) women, median age (IQR) 57 (51-64) years] had developed MetS after 7 years (annual incidence 3.5% (95% CI 2.4-4.5%). Females (OR = 4.9, 95% CI 3.4-7.4), BMI > 23 kg/m2 in 2007 (OR = 1.6 per unit increase, 95% CI 1.5-1.7), weight gain (by 2-5% OR = 2.0, 95% CI 1.1-3.5; by > 5% OR = 2.2, 95% CI 1.4-3.4), and increase in waist circumference (by 2-5% OR = 7.0, 95% CI 4.0-12.2; by > 5% OR = 13.4, 95% CI 8.3-22.4) from baseline and presence of non-alcoholic fatty liver disease (NAFLD) in 2007 (OR = 1.70, 95% CI 1.04-2.76) were associated new onset MetS. Those with MetS had abnormal VFP and TBF in 2014 [P < 0.001].CONCLUSION:In this study, annual incidence of MetS was 3.5%. Female gender, BMI > 23 kg/m2 and NAFLD in 2007 and increase in weight and waist circumference from baseline were significantly associated with new onset MetS. Obesity was the best predictor of future MetSItem Do traditional risk factors for knee osteoarthritis predict pain flares in knee osteoarthritis?.(BMJ Publishing, 2016) Atukorala, I.; Pathmeswaran, A.; Chang, T.; Zhang, Y.; Hunter, D.J.BACKGROUND: Knee pain is the main cause of disability and reduced function in knee osteoarthritis (KOA). Though knee pain in osteoarthritis was previously perceived as a chronic condition it is now established that KOA pain fluctuates. There is emerging evidence that time variant risk factors-such as knee injury, buckling and mood- are associated with knee pain flares. But, it is not known whether conventional risk factors associated with KOA - age, gender, body mass index-are associated with pain flares in KOA. OBJECTIVES: This study examines whether conventional time invariant risk factors for KOA and baseline pain felt by the patient are associated with KOA pain flares. METHODS: Study participants were selected from a 3-month web-based longitudinal follow up study developed to identify risk factors for KOA pain flares. Participants were requested to complete online questionnaire at days 0, 30, 60 and 90 (control period assessment points) and at time points whenever they experienced knee pain flare (case period assessment points) during the follow up period. A KOA pain flare was defined as current pain with a greater than 2 point increase (on a 0-10 point numeric rating scale) from the mildest KOA pain intensity reported at day 0. The association of pain flares with traditional risk factors for knee osteoarthritis -gender, weight, height, body mass index- was assessed by negative binomial regression. The duration of knee osteoarthritis, baseline pain intensity (lowest pain and highest pain scores at baseline) were similarly evaluated. The best explanatory variable was decided by forward selection. RESULTS: 345 persons (61.2% females) with multiple KOA pain flares were selected. Their mean age was 62.1years (SD +/-8.2). The mean body mass index was 29.8kg/m2 (SD +/-6.5). The participants rated their baseline pain (on a numeric rating scale) as being 4.41 (SD+/- 2.02) and their worst pain as being 7.91 (SD +/-1.74). An average of 1.92 (SD 2.59) flares were documented during the 3-month period. The levels of baseline pain - usual and worst pain felt at baseline- were the only parameters significantly associated with KOA pain flares (Table 1). CONCLUSIONS: The baseline pain scores were the strongest predictors of pain flares of knee osteoarthritis. The traditional risk factors associated with knee osteoarthritis did not usefully predict pain flares. The traditional time invariant risk factors may not be associated with short term variability in pain though they are associated with long term outcomes of knee osteoarthritis. It is postulated that as knee pain is already present, time invariant risk factors that contributed to the original symptom causation are not associated with pain flare. (Table Presented).Item 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.Item Incidence, prevalence and demographic and life style risk factors for obesity among urban, adult Sri Lankans: a community cohort follow-up study(Sri Lanka Medical Association, 2017) Niriella, M.A.; de Silva, S.T.; Kasturiratne, A.; Kottachchi, D.; Ranasinghe, R.M.A.G.; Dassanayake, A.S.; de Silva, A.P.; Pathmeswaran, A.; Wickremasinghe, A.R.; Kato, N.; de Silva, H.J.INTRODUCTION & OBJECTIVES: Obesity is a global problem. Data from the South Asian region is limited. METHODS: In a cohort follow-up study we investigated obesity among urban, adult, Sri Lankans (35-64y; selected by age-stratified random sampling from Ragama-MOH area; initial screening 2007; re-evaluation 2014). On both occasions structured interview, anthropometry, liver ultrasound, biochemical and serological tests were performed. Total body fat (TBF) and visceral fat percentage (VFP) were assessed by impedance in 2014. General-obesity (GO) was BMI>25kg/m2. Central-obesity (CO) was waist circumference (WC)>90cm males and WC>80cm females. Multinomial logistic regression was fitted to assess associations. RESULTS: In 2007 (n=2967), 614 (20.7%) were overweight [51.9%-women], 1161(39.1%) had GO [65.9%-women] and 1584(53.4%) had CO [71%-women]. Females (p<0.001), raised-TG (p<0.001), low-HDL (p<0.001), diabetes (p<0.001), hypertension (p<0.001), NAFLD (p<0.001), and low household income (p<0.001) were significantly associated with prevalent GO and CO respectively. Additionally, increased-age (p=0.05), low-educational level (p<0.001) and unhealthy eating (p<0.001) were associated with prevalent CO. Inadequate physical activity was not associated with either. 2137 (72%) attended follow-up in 2014. Of those who were initially non-obese who attended follow-up, 189/1270 (14.9%) [64% women] had developed GO (annual-incidence 2.13%) and 206/947 (21.9%) [56.3% women] had developed CO (annual incidence 3.12%) after 7 years. TBF and VFP significantly correlated with incident GO and CO (p<0.001). Female gender (OR-1.78, p<0.001; 2.81, p<0.001) and NAFLD (OR-2.93, p<0.001; OR-2.27, p<0.001) independently predicted incident GO and CO respectively. CONCLUSION: The prevalence and incidence of GO and CO were high in this cohort. Both incident GO and CO were strongly associated with female gender and NAFLD.Item 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.Item Incidence and risk factors for non-alcoholic fatty liver disease: A 7-year follow-up study among urban, adult Sri Lankans(Blackwell Munksgaard, 2017) Niriella, M.A.; Pathmeswaran, A.; de Silva, S.T.; Kasturiratne, A.; Perera, R.; Subasinghe, C.E.; Kodisinghe, K.; Piyaratna, C.; Rishikesawan, V.; Dassanayake, A.S.; de Silva, A.P.; Wickremasinghe, R.; Takeuchi, F.; Kato, N.; de Silva, H.J.BACKGROUND: This study investigated incidence and risk factors for NAFLD among an adult cohort with 7-year follow-up. METHODS: The study population (age-stratified random sampling, Ragama MOH area) was screened initially in 2007 (aged 35-64 years) and re-evaluated in 2014 (aged 42-71 years). On both occasions assessed by structured interview, anthropometric measurements, liver ultrasound, biochemical and serological tests. NAFLD was diagnosed on ultrasound criteria, safe alcohol consumption and absence of hepatitis B/C markers. Non-NAFLD controls did not have any ultrasound criteria for NAFLD. An updated case-control genetic association study for 10 selected genetic variants and NAFLD was also performed. RESULTS: Out of 2985 of the original cohort, 2148 (72.0%) attended follow-up (1238 [57.6%] women; mean-age 59.2 [SD-7.6] years) in 2014, when 1320 (61.5%) were deemed NAFLD subjects. Out of 778 who initially did not have NAFLD and were not heavy drinkers throughout follow-up, 338 (43.4%) (221 [65.4%] women, mean-age 57.8 [SD-8.0] years) had developed NAFLD after 7-years (annual incidence-6.2%). Central obesity (OR=3.82 [95%-CI 2.09-6.99]), waist increase >5% (OR=2.46 [95%-CI 1.20-5.05]) overweight (OR=3.26 [95%-CI 1.90-5.60]), weight gain 5%-10% (OR=5.70 [95%-CI 2.61-12.47]), weight gain >10% (OR=16.94 [95%-CI 6.88-41.73]), raised plasma triglycerides (OR=1.96 [95%-CI 1.16-3.29]) and diabetes (OR=2.14 [95%-CI 1.13-4.06]), independently predicted the development of incident NAFLD in multivariate analysis. The updated genetic association study (1362-cases, 392-controls) showed replicated association (P=.045, 1-tailed) with NAFLD at a candidate locus: PNPLA3 (rs738409). CONCLUSIONS: In this community cohort study, the annual incidence of NAFLD was 6.2%. Incident NAFLD was associated with general and central obesity, raised triglycerides and diabetes, and showed a tendency of association with PNPLA3 gene polymorphisms.Item Incidence and risk factors for Non-Alcoholic Fatty Liver Disease in an urban, adult Sri Lankan population – a community cohort follow-up study(Sage Publishing, 2015) Niriella, M.; Kasturiratne, A.; de Silva, S.; Perera, R.; Subasinghe, C.; Kodisinghe, K.; Priyantha, C.; Rishikeshavan, V.; Dassanayake, A.; de Silva, A.; Pathmeswaran, A.; Kato, N.; de Silva, H.J.INTRODUCTION: We previously reported a community prevalence of 33% for NAFLD in an urban, adult Sri Lankan population. We also found a significant association between patatin-like phospholipase domain containing 3 (PNPLA3) gene rs738409 polymorphism, and susceptibility to NAFLD in the same population, after testing 10 selected single nucleotide polymorphisms (SNPs) in a case control study. AIMS & METHODS: The aim of this study was to assess the incidence and risk factors for NAFLD in this population after seven years of follow-up. The study population consisted of 42-71-year-old adults, originally selected by age stratified random sampling from electoral lists from Ragama, Sri Lanka. The target population was screened initially in 2007 and subsequently invited back for re-evaluation in 2014. On both occasions they were assessed using a structured interview, clinical and anthropometric measurements, liver ultrasound, and biochemical and serological tests. NAFLD was diagnosed on established ultrasound criteria for fatty liver (two out of three criteria: increased echogenecity of the liver compared to kidney and spleen, obliteration of the vascular architecture of the liver and deep attenuation of the ultrasonic signal), safe alcohol consumption (Asian standards: 514 units/week for men, 57 units/week for females) and absence of hepatitis B and C markers. Non-NAFLD controls were defined as subjects who did not have any of the ultrasound criteria for NAFLD. We also performed an updated case-control study to investigate associations of selected genetic variants with incident NAFLD [SNPs: PNPLA3 (rs738409), LYPLAL1 (rs12137855), GCKR (rs780094), PPP1R3B (rs4240624) and NCAN (rs2228603), APOC3 (rs2854117 and rs2854116), ADIPOR2 (rs767870) and STAT3 (rs6503695 and rs9891119)]. RESULTS: Of the 2985 original study participants, 2155 (72.2%) (1244 women and 911 men; mean age 59.2 years [SD, 7.7]) participated in the follow-up assessment. 1322 [mean age 58.9 years (SD, 7.6), 483 (53.0%) men and 839 (67.4%) women] had NAFLD. Out of 795 [466 (58.6%) women] participants who did not have NAFLD in the original study, 365 [226 (61.9%) women, mean age 58.6 years (SD, 7.9)] had developed NAFLD after 7 years, giving an annual incidence rate 6.6%. On multivariate analysis, increased waist circumference [OR 1.96(1.30 – 2.97), p=0.001], BMI4 23 kg/m2 [OR 2.93(1.99 – 4.30), p50.001] and raised plasma triglycerides (TG) [OR 1.49(1.03 – 2.13), p=0.03] were independently predictive of incident NAFLD in this cohort, while raised BP and reduced HDL, were not. In the updated association study involving 1310 cases and 427 controls, we found borderline association with NAFLD at two of the 10 candidate loci: rs4240624 at PPP1R3B and rs738409 at PNPLA3 (one-tailed P=0.044 and 0.033, respectively). CONCLUSION: In this community cohort follow-up study in an urban, adult population in Sri Lanka, the annual incidence of NAFLD was 6.6%. Incident NAFLD was associated with features of the metabolic syndrome, and showed tendency of association at PNPLA3 and PPP1R3B gene polymorphisms. Disclosure of Interest: None declared