Diabetes & Metabolism Journal

Original Articles

Guideline/Fact Sheet
Fatty Liver & Diabetes Statistics in Korea: Nationwide Data 2009 to 2017: Eugene Han, Kyung-Do Han, Yong-ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park, on Behalf of Fatty Liver Research Group of the Korean Diabetes Association; Diabetes Metab J. 2023;47(3):347-355. Published online March 29, 2023; DOI: https://doi.org/10.4093/dmj.2022.0444

3,562 View
207 Download
5 Web of Science
9 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
This study investigated the changes of fatty liver disease prevalence in general Korean population.
Methods
This study analyzed data from the Korean National Health Insurance Service from 2009 to 2017 that included individuals aged 20 years or older who had undergone a medical health examination. Fatty liver disease was assessed using the fatty liver index (FLI). The disease severity was defined by FLI cutoff, ≥30 as moderate, and ≥60 as severe fatty liver disease.
Results
The prevalence of Korean adults aged 20 years or over with fatty liver disease (FLI ≥60) increased from 13.3% in 2009 to 15.5% in 2017 (P for trend <0.001). The increase in fatty liver disease prevalence was prominent in men (from 20.5% to 24.2%) and the young age (20 to 39 years) group (from 12.8% to 16.4%) (P for interaction <0.001). The prevalence of fatty liver disease was the highest in type 2 diabetes mellitus (T2DM, 29.6%) population compared to that of prediabetes or normoglycemia (10.0% and 21.8%) in 2017. The prevalence of fatty liver disease had statistically increased in individuals with T2DM and prediabetes (P for trend <0.001). Its prevalence increased more steeply in the young-aged population with T2DM, from 42.2% in 2009 to 60.1% in 2017. When applying a lower FLI cutoff (≥30) similar results were observed.
Conclusion
The prevalence of fatty liver disease in the Korean population has increased. Individuals who are young, male, and have T2DM are vulnerable to fatty liver disease.

Citations

Citations to this article as recorded by

Longitudinal changes in fatty liver index are associated with risk of hepatocellular carcinoma: A nationwide cohort study in Korea
Min Gu Kang, Chang Hun Lee, Chen Shen, Jong Seung Kim, Ji Hyun Park
Journal of Hepatology.2024; 80(5): e216. CrossRef
Repeated detection of non‐alcoholic fatty liver disease increases the incidence risk of type 2 diabetes in young adults
Jin Hwa Kim, Young Sang Lyu, Mee Kyoung Kim, Sang Yong Kim, Ki‐Hyun Baek, Ki‐Ho Song, Kyungdo Han, Hyuk‐Sang Kwon
Diabetes, Obesity and Metabolism.2024; 26(1): 180. CrossRef
Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
Metabolism.2024; 152: 155789. CrossRef
Association of non-alcoholic fatty liver disease with cardiovascular disease and all cause death in patients with type 2 diabetes mellitus: nationwide population based study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
BMJ.2024; : e076388. CrossRef
Hepatic Fibrosis and Cancer: The Silent Threats of Metabolic Syndrome
Scott L. Friedman
Diabetes & Metabolism Journal.2024; 48(2): 161. CrossRef
Reply to G. Wang et al
Joo-Hyun Park, Jung Yong Hong, Kyungdo Han
Journal of Clinical Oncology.2023; 41(32): 5070. CrossRef
The Role of the Fatty Liver Index (FLI) in the Management of Non-Alcoholic Fatty Liver Disease: A Systematic Review
Teodora Biciusca, Sorina Ionelia Stan, Mara Amalia Balteanu, Ramona Cioboata, Alice Elena Ghenea, Suzana Danoiu, Ana-Maria Bumbea, Viorel Biciusca
Diagnostics.2023; 13(21): 3316. CrossRef
Lean or Non-obese Nonalcoholic Fatty Liver Disease Patients: Are They Really Lean?
Eugene Han, Yong-ho Lee
Clinical and Molecular Hepatology.2023; 29(4): 980. CrossRef
Approach to Fatty Liver Disease in Patients with Type 2 Diabetes
Ji Cheol Bae
The Journal of Korean Diabetes.2023; 24(3): 107. CrossRef

Metabolic Risk/Epidemiology
Metabolic Dysfunction-Associated Fatty Liver Disease and Mortality: A Population-Based Cohort Study: Kyung-Soo Kim, Sangmo Hong, Hong-Yup Ahn, Cheol-Young Park; Diabetes Metab J. 2023;47(2):220-231. Published online January 12, 2023; DOI: https://doi.org/10.4093/dmj.2021.0327

65,535 View
282 Download
9 Web of Science
10 Crossref

Abstract PDF Supplementary Material PubReader ePub

Background
We investigated whether metabolic dysfunction-associated fatty liver disease (MAFLD) is associated with an elevated risk of all-cause and cardiovascular mortality using a large-scale health examination cohort.
Methods
A total of 394,835 subjects in the Kangbuk Samsung Health Study cohort were enrolled from 2002 to 2012. Participants were categorized by the presence of nonalcoholic fatty liver disease (NAFLD) and MAFLD as follows: normal subjects; patients with both NAFLD and MAFLD; patients with NAFLD only; and patients with MAFLD only. Cox proportional hazards models were used to analyze the risk of mortality.
Results
During a median 5.7 years of follow-up, 20.69% was patients with both NAFLD and MAFLD, 1.51% was patients with NAFLD only, and 4.29% was patients with MAFLD only. All-cause and cardiovascular death was higher in patients with MAFLD than those without MAFLD (P<0.001, respectively). In patients with MAFLD only, the hazard ratio (HR) of all-cause and cardiovascular death was 1.35 (95% confidence interval [CI], 1.13 to 1.60) and 1.90 (95% CI, 1.26 to 2.88) after adjusting for age, which lost its statistical significance by multivariable adjustments. Compared to patients with less than two components of metabolic dysfunction, patients with more than two components of metabolic dysfunction were a higher risk of cardiovascular death (HR, 2.05; 95% CI, 1.25 to 3.38) and only women with more than two components of metabolic dysfunction were a higher risk of all-cause death (HR, 1.44; 95% CI, 1.02 to 2.03).
Conclusion
MAFLD criteria could identify a high-risk group for all-cause and cardiovascular death.

Citations

Citations to this article as recorded by

Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
Metabolism.2024; 152: 155789. CrossRef
Association of non-alcoholic fatty liver disease with cardiovascular disease and all cause death in patients with type 2 diabetes mellitus: nationwide population based study
Kyung-Soo Kim, Sangmo Hong, Kyungdo Han, Cheol-Young Park
BMJ.2024; : e076388. CrossRef
Sex differences in mortality and liver‐related events in non‐alcoholic fatty liver disease: A systematic review and meta‐analysis
Huimin Zhou, Haiyan Chen, Hanxiao Lu, Bo Wu, Shuo Zhang, Yuanlong Gu, Guangwen Zhou, Jie Xiang, Jun Yang
Liver International.2024;[Epub] CrossRef
Association between dietary carbohydrate to fiber ratio and metabolic dysfunction associated fatty liver disease in adults: evidence from the NHANES 2017–2020
Zhenmin Liu, Taiyong Fang
Journal of Health, Population and Nutrition.2024;[Epub] CrossRef
Comparison of Outcomes Between Metabolic Dysfunction-Associated Fatty Liver Disease and Non-alcoholic Fatty Liver Disease: A Meta-Analysis
Ghazala S Virk, Jaahnavi Vajje, Nausheen K Virk, Raam Mannam, Wajeeh Rehman, Naglaa G Ghobriel , Irfan-ud-din Mian, Muhammad Usama
Cureus.2023;[Epub] CrossRef
Trends in prevalence and all-cause mortality of metabolic dysfunction-associated fatty liver disease among adults in the past three decades: Results from the NHANES study
Zhi-Qin Xie, Hong-Xia Li, Bing-Kun Wang, Zhao-Ming Yang, Zi-Yu Zhang, Wen-Liang Tan, Wen-Xin Li, Qing-Bin Wang, Lei Yang, Hong-Kai Zhuang, Chen-Wei Tang, Chang-Zhen Shang, Ya-Jin Chen
European Journal of Internal Medicine.2023; 110: 62. CrossRef
Comparing the Mortality Risk between Metabolic Dysfunction-Associated Fatty Liver Disease and Non-Alcoholic Fatty Liver Disease
Han Na Jung, Chang Hee Jung
Diabetes & Metabolism Journal.2023; 47(2): 198. CrossRef
Increased expression of sodium-glucose cotransporter 2 and O-GlcNAcylation in hepatocytes drives non-alcoholic steatohepatitis
Hye Jin Chun, Eun Ran Kim, Minyoung Lee, Da Hyun Choi, Soo Hyun Kim, Eugene Shin, Jin-Hong Kim, Jin Won Cho, Dai Hoon Han, Bong-Soo Cha, Yong-ho Lee
Metabolism.2023; 145: 155612. CrossRef
Current understanding and future perspectives on the impact of changing NAFLD to MAFLD on global epidemiology and clinical outcomes
Karl Vaz, Daniel Clayton-Chubb, Ammar Majeed, John Lubel, David Simmons, William Kemp, Stuart K. Roberts
Hepatology International.2023; 17(5): 1082. CrossRef
Mitochondrial Quality Control: Its Role in Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
Soyeon Shin, Jaeyoung Kim, Ju Yeon Lee, Jun Kim, Chang-Myung Oh
Journal of Obesity & Metabolic Syndrome.2023; 32(4): 289. CrossRef

Drug/Regimen
Increasing Age Associated with Higher Dipeptidyl Peptidase-4 Inhibition Rate Is a Predictive Factor for Efficacy of Dipeptidyl Peptidase-4 Inhibitors: Sangmo Hong, Chang Hee Jung, Song Han, Cheol-Young Park; Diabetes Metab J. 2022;46(1):63-70. Published online April 19, 2021; DOI: https://doi.org/10.4093/dmj.2020.0253

65,535 View
287 Download

Graphical Abstract Abstract PDF Supplementary Material PubReader ePub: Background
It is not known which type 2 diabetes mellitus (T2DM) patients would most benefit from dipeptidyl peptidase-4 (DPP-4) inhibitor treatment. We aimed to investigate the predictors of response to DPP-4 inhibitors considering degree of DPP-4 inhibition.
Methods
This study is a post hoc analysis of a 24-week, randomized, double-blind, phase III trial that compared the efficacy and safety of a DPP-4 inhibitor (gemigliptin vs. sitagliptin) in patients with T2DM. Subjects were classified into tertiles of T1 <65.26%, T2=65.26%–76.35%, and T3 ≥76.35% by DPP-4 inhibition. We analyzed the change from baseline in glycosylated hemoglobin (HbA1c) according to DPP-4 inhibition with multiple linear regression adjusting for age, ethnicity, body mass index, baseline HbA1c, and DPP-4 activity at baseline.
Results
The mean age was greater in the high tertile group compared with the low tertile group (T1: 49.8±8.3 vs. T2: 53.1±10.5 vs. T3: 55.3±9.5, P<0.001) of DPP-4 inhibition. Although HbA1c at baseline was not different among tertiles of DPP-4 inhibition (P=0.398), HbA1c after 24-week treatment was lower in the higher tertile compares to the lower tertile (T1: 7.30%±0.88% vs. T2: 7.12%±0.78% vs. T3: 7.00%±0.78%, P=0.021). In multiple regression analysis, DPP-4 enzyme inhibition rate was not a significant determent for HbA1c reduction due to age. In subgroup analysis by tertile of DPP-4 inhibition, age was the only significant predictor and only in the highest tertile (R²=0.281, B=–0.014, P=0.024).
Conclusion
This study showed that HbA1c reduction by DPP-4 inhibitor was associated with increasing age, and this association was linked with higher DPP-4 inhibition.

Brief Report

Epidemiology
Glycosylated Hemoglobin Threshold for Predicting Diabetes and Prediabetes from the Fifth Korea National Health and Nutrition Examination Survey: Sangmo Hong, Jun Goo Kang, Chul Sik Kim, Seong Jin Lee, Cheol-Young Park, Chang Beom Lee, Sung-Hee Ihm; Diabetes Metab J. 2016;40(2):167-170. Published online April 5, 2016; DOI: https://doi.org/10.4093/dmj.2016.40.2.167

3,004 View
39 Download
1 Web of Science
2 Crossref

Abstract PDF PubReader

We aimed to estimate the threshold level of glycosylated hemoglobin (HbA1c) for the fasting plasma glucose of 100 and 126 mg/dL in the Korean adult population, using the 2011 Korea National Health and Nutrition Examination Survey. A total of 4,481 participants over 19 years of age without diabetic medications and conditions to influence the interpretation of HbA1c levels, such as anemia, renal insufficiency, liver cirrhosis, and cancers, were analyzed. A point-wise area under the receiver operating characteristic curve was used to estimate the optimal HbA1c cutoff value. A HbA1c threshold of 6.35% was optimal for predicting diabetes with a sensitivity of 86.9% and a specificity of 99.1%. Furthermore, the threshold of HbA1c was 5.65% for prediabetes, with a sensitivity of 69.3% and a specificity of 71%. Further prospective studies are needed to evaluate the HbA1c cutoff point for diagnosing prediabetes and diabetes in the Korean population.

Citations

Citations to this article as recorded by

The Cutoff Value of HbA1c in Predicting Diabetes and Impaired Fasting Glucose
Seyoung Kwon, Youngak Na
The Korean Journal of Clinical Laboratory Science.2017; 49(2): 114. CrossRef
Cutoff Point of HbA1c for Diagnosis of Diabetes Mellitus in Chinese Individuals
Bing Wang, Ming-Chuan Liu, Xin-Yu Li, Xu-Han Liu, Qiu-Xia Feng, Lu Lu, Zhu Zhu, Ying-Shu Liu, Wei Zhao, Zheng-Nan Gao, Noel Christopher Barengo
PLOS ONE.2016; 11(11): e0166597. CrossRef

First
Prev
Page of 1
Next
Last

Search