Incidence and risk factors for non‐alcoholic fatty liver disease: A 7‐year follow‐up study among urban, adult Sri Lankans

Niriella, Madunil Anuk; Pathmeswaran, A.; Silva, Shamila Thivanshi De; Kasturiratna, A.; Perera, Ruwan; Subasinghe, Chandrika Jayakanthi; Kodisinghe, K.; Piyaratna, Chathura; Rishikesawan, Vithiya; Dassanayaka, A.S.; Silva, Arjuna Priyadarshin De; Wickramasinghe, Rajitha; Takeuchi, Fumihiko; Kato, Norihiro; Silva, Hithanadura Janaka de

doi:10.1111/liv.13478

Cited by 41 publications

(34 citation statements)

References 22 publications

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“…In the current study, there was a high prevalence of NAFLD in urban population (n = 45, 64.29%) than rural ones (n = 25, 35.71%). This matches the study of Niriella et al, (2017) who reported that the urban cohort, when followed up for 7 years and subjected to ultrasonography of the liver again, showed their prevalence of NAFLD had increased dramatically to nearly 66% in that age (42 -71 years) population. The annual incidence of NAFLD in this population was 6.6% [13].…”

Section: Discussionsupporting

confidence: 90%

Assessment of Liver Fatty Acid Binding Protein (L-FABP) as a Diagnostic Marker in Non-Alcoholic Fatty Liver Disease

Abdulaziz¹,

Abdu²,

Amin³

et al. 2019

OJGas

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Background: Non-Alcoholic Fatty Liver Disease (NAFLD) is the most common liver disease worldwide, it causes chronic hepatitis, which leads to cirrhosis and hepatocellular carcinoma. We aimed to assess the value of liver fatty acid binding protein (L-FABP) in the diagnosis of non-alcoholic fatty liver disease in comparison to ultrasonography. Patients and Methods: Ninty subjects were enrolled in this study who attended the Hepatology, Gastroenterology and Internal medicine clinics in Benha University Hospitals between January 2017 and January 2018 and divided into group I included 70 consecutive patients with non-alcoholic fatty liver disease who were diagnosed by ultrasound with or without elevated liver enzymes and group П included 20 healthy control subjects without NAFLD (by ultrasound) with normal liver enzymes. Serum levels of L-FABP were determined by enzyme-linked immunosorbent assay. Results: NAFLD patients were slightly older than healthy subjects as mean age in group І was (37.74 ± 11.7) while in group П was (36.5 ± 11.31). There was a slight increase in NAFLD in males, there was a high prevalence of NAFLD in the urban population. L-FABP levels in NAFLD patients were higher than in the control group (levels were 188.6 ± 34.94 and 137.7 ± 13.05 ng/l respectively). A strong correlation was found between L-FABP and ALT, AST, BMI and glucose levels. Analysis of ROC curve revealed that at a level 151.1 ng/sensitivity, specificity, PPV, NPV and accuracy were 83.3%, 71.8%, 31.3%, 96.

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Section: Discussionsupporting

confidence: 90%

Assessment of Liver Fatty Acid Binding Protein (L-FABP) as a Diagnostic Marker in Non-Alcoholic Fatty Liver Disease

Abdulaziz¹,

Abdu²,

Amin³

et al. 2019

OJGas

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“…Fourthly, exploratory subgroup and interaction analyses were used to evaluate effect modification in the adjusted models. Participants were stratified according to age, sex, and abdominal obesity because those grouping variables have been reported to be associated with NAFLD risk [19][20][21][22]. Age was classified as < 60 and ≥ 60 years.…”

Section: Discussionmentioning

confidence: 99%

Changing trajectories of serum uric acid and risk of non-alcoholic fatty liver disease: a prospective cohort study

Kang

et al. 2020

J Transl Med

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Background: It is unclear the role of longitudinal trajectory of serum uric acid (SUA) on the development of nonalcoholic fatty liver disease (NAFLD). We aimed to determine whether longitudinal SUA trajectories are associated with the risk of new-onset NAFLD. Methods:We explored the relationship between SUA trajectories and NAFLD in a cohort including 3822 participants. Individual's SUA trajectories from 2012 to 2014 were defined using group-based trajectory modeling analysis in four distinct patterns: trajectory 1 (n = 991, 25.93%), trajectory 2 (n = 1421, 37.18%), trajectory 3 (n = 1156, 30.22%), and trajectory 4 (n = 254, 6.67%). The logistic regression model was used to evaluate the association between SUA changing trajectories and subsequent NAFLD until 2016. Dose-response relationship between SUA changing trajectories and NAFLD risk was evaluated through the testing of trajectory groups as a continuous variable. Results:The 2-year incidence of NAFLD was 13.27%. Compared with trajectory 1, the adjusted odds risk for NAFLD development was in a dose-response relationship as follows: 1.27 (95% CI 0.91-1.78) for trajectory 2, 1.89 (95% CI 1.29-2.75) for trajectory 3, and 2.34 (95% CI 1.43-3.83) for trajectory 4. And this dose-response relationship was not affected by age, sex, and abdominal obesity. Conclusions:Higher SUA changing trajectory is a risk factor for NAFLD. This finding highlights the importance of paying attention to SUA changing trajectory on the detection and prevention of NAFLD.

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“…In China, the age-standardized incidence of T2DM was 9.5 per 1000 person-years for men and 9.2 for women from 2006 to 2014 16 . A retrospective nationwide longitudinal study in Taiwan during 1999 to 2004 showed that age-standardized prevalence of T2DM increased from 4.7 to 6.5% for men and from 5.3 to 6.6% for women 17 .…”

Section: Discussonmentioning

confidence: 99%

Incidence and Predictors of Diabetes Mellitus And Outcome of Pre-Diabetes: A Prospective, Community-Based Cohort Follow-Up Study

Silva¹,

Ediriweera²,

Niriella³

et al. 2020

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BackgroundThere is limited data on prevalence and outcome of prediabetes (PDM) and incidence of type 2 diabetes mellitus (T2DM) from South Asia. We investigated this in an urban, adult population in Sri Lanka that was followed-up for seven years. Methods The study population (selected by age-stratified random sampling from the community) was initially screened in 2007 and re-evaluated in 2014. On both occasions they were assessed by structured interview, anthropometric measurements, liver ultrasound, biochemical and serological tests. Results In the original cohort of 2985 recruited in 2007 [54.8% women, median age (IQR) 53 (47-59)], 737 had T2DM [baseline prevalence 24.7% (95% CI: 23.1–26.2)] and 525 (17.7%) had PDM [54.1% women, median age (IQR) 56 (50-60)]. 2148/2985 (71.6%) attended follow-up in 2014 [57.5% women; median (IQR) 60 (54–66) years], which included 1650 who did not have T2DM in 2007. By 2014, 436/1650 (27.6%) had developed new T2DM [annual incidence 3.9% (95% CI:3.0-4.9). On logistic regression, PDM, central obesity, dyslipidemia and non-alcoholic fatty liver disease (NAFLD) showed significant association with incident T2DM. Of 525 with PDM in 2007, 365 (69.5%) presented for follow up in 2014; 147 (40.3%) remained in PDM, 201 (55.1%) had progressed to T2DM and 17 (4.6%) had reverted to normal. Annual conversion rate of PDM to T2DM was 7.9%. Increase in waist circumference and decrease in HDL predicted progression to T2DM. ConclusionsPresence of components of the metabolic syndrome at baseline predicted new-onset T2DM and conversion of PDM to T2DM. Targeted lifestyle interventions are essential for individuals with metabolic risk to prevent incident T2DM.

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Incidence and risk factors for non‐alcoholic fatty liver disease: A 7‐year follow‐up study among urban, adult Sri Lankans

Abstract: 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.

Cited by 41 publications

References 22 publications

Assessment of Liver Fatty Acid Binding Protein (L-FABP) as a Diagnostic Marker in Non-Alcoholic Fatty Liver Disease

Assessment of Liver Fatty Acid Binding Protein (L-FABP) as a Diagnostic Marker in Non-Alcoholic Fatty Liver Disease

Changing trajectories of serum uric acid and risk of non-alcoholic fatty liver disease: a prospective cohort study

Incidence and Predictors of Diabetes Mellitus And Outcome of Pre-Diabetes: A Prospective, Community-Based Cohort Follow-Up Study

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