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Fujii H, Kamada Y, Tokushige A, Watanabe T, Kawada N. Is liver fibrosis more advanced in MetALD than in MASLD? J Hepatol 2024:S0168-8278(24)02436-X. [PMID: 39084472 DOI: 10.1016/j.jhep.2024.07.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Accepted: 07/24/2024] [Indexed: 08/02/2024]
Affiliation(s)
- Hideki Fujii
- Department of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
| | - Yoshihiro Kamada
- Department of Advanced Metabolic Hepatology, Osaka University Graduate School of Medicine, Osaka, Japan
| | - Akihiro Tokushige
- Department of Clinical Pharmacology and Therapeutics, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Toshio Watanabe
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
| | - Norifumi Kawada
- Department of Hepatology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan
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Cao L, An Y, Liu H, Jiang J, Liu W, Zhou Y, Shi M, Dai W, Lv Y, Zhao Y, Lu Y, Chen L, Xia Y. Global epidemiology of type 2 diabetes in patients with NAFLD or MAFLD: a systematic review and meta-analysis. BMC Med 2024; 22:101. [PMID: 38448943 PMCID: PMC10919055 DOI: 10.1186/s12916-024-03315-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 02/23/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) and metabolic-associated fatty liver disease (MAFLD) shares common pathophysiological mechanisms with type 2 diabetes, making them significant risk factors for type 2 diabetes. The present study aimed to assess the epidemiological feature of type 2 diabetes in patients with NAFLD or MAFLD at global levels. METHODS Published studies were searched for terms that included type 2 diabetes, and NAFLD or MAFLD using PubMed, EMBASE, MEDLINE, and Web of Science databases from their inception to December 2022. The pooled global and regional prevalence and incidence density of type 2 diabetes in patients with NAFLD or MAFLD were evaluated using random-effects meta-analysis. Potential sources of heterogeneity were investigated using stratified meta-analysis and meta-regression. RESULTS A total of 395 studies (6,878,568 participants with NAFLD; 1,172,637 participants with MAFLD) from 40 countries or areas were included in the meta-analysis. The pooled prevalence of type 2 diabetes among NAFLD or MAFLD patients was 28.3% (95% confidence interval 25.2-31.6%) and 26.2% (23.9-28.6%) globally. The incidence density of type 2 diabetes in NAFLD or MAFLD patients was 24.6 per 1000-person year (20.7 to 29.2) and 26.9 per 1000-person year (7.3 to 44.4), respectively. CONCLUSIONS The present study describes the global prevalence and incidence of type 2 diabetes in patients with NAFLD or MAFLD. The study findings serve as a valuable resource to assess the global clinical and economic impact of type 2 diabetes in patients with NAFLD or MAFLD.
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Affiliation(s)
- Limin Cao
- The Third Central Hospital of Tianjin, Tianjin, China
| | - Yu An
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Huiyuan Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Jinguo Jiang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Wenqi Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Yuhan Zhou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Mengyuan Shi
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Wei Dai
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Yanling Lv
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuhong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Yanhui Lu
- School of Nursing, Peking University, 38 Xueyuan Rd, Haidian District, Beijing, 100191, China.
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Yang Xia
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, No. 36, San Hao Street, Shenyang, Liaoning, 110004, China.
- Liaoning Key Laboratory of Precision Medical Research On Major Chronic Disease, Liaoning Province, Shenyang, China.
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Yi W, Wu H, Fu W, Feng H, Huang J, Li H, Song Z, Chen Y, Zheng Y, She S. Prevalence and Risk Factors of Non-Alcoholic Fatty Liver Disease (NAFLD) in Non-Obese Patients with Schizophrenia: A Retrospective Study. Diabetes Metab Syndr Obes 2024; 17:841-849. [PMID: 38406266 PMCID: PMC10893889 DOI: 10.2147/dmso.s437811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/08/2024] [Indexed: 02/27/2024] Open
Abstract
Background To assess the prevalence and risk factors of NAFLD in non-obese patients with schizophrenia in a public psychiatric hospital in China. Methods A total of 1,305 adult inpatients with schizophrenia in 2019 were included in this retrospective study. Body mass index (BMI) ≥ 25 kg/m2 was considered obese, and BMI < 25 kg/m2 was considered non-obese. We obtained the data from electronic records of the Affiliated Brain Hospital of Guangzhou Medical University. Results A total of 1,045 non-obese patients and 260 obese patients were included in this study. The prevalence of NAFLD in non-obese patients was 25.0%, and it was much lower that in the obese patients (25.0% vs 64.6%, p < 0.001). Among the non-obese patients, there were significant differences in age, BMI, alanine aminotransferase (ALT), metabolic indices, and the prevalence of diabetes and hypertension between patients with NAFLD and patients without NAFLD. According to the results of binary logistic regression analysis, age, BMI, ALT, triglyceride (TG) and diabetes were significantly related to NAFLD among non-obese patients with schizophrenia. In contrast, HDL-C was was negatively associated with NAFLD among non-obese patients. Conclusion This study suggested that NAFLD was common in patients with schizophrenia, even in non-obese patients with schizophrenia. In non-obese patients with schizophrenia, age, BMI, ALT, TG and diabetes are significantly associated with NAFLD. Moreover, HDL-C level was an independent protective factor against NAFLD. Given the adverse outcomes of NAFLD, it is necessary to increase awareness of NAFLD in patients with schizophrenia, especially in non-obese patients with schizophrenia.
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Affiliation(s)
- Wenying Yi
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Haibo Wu
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Weibin Fu
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Huimei Feng
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Jie Huang
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Haijing Li
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Zhen Song
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Yuwei Chen
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Yingjun Zheng
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
| | - Shenglin She
- Department of Psychiatry, the Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China Guangzhou Medical University, Guangzhou, People’s Republic of China
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Sariyar N, Kani HT, Celikel CA, Yilmaz Y. Predicting fibrosis progression in non-alcoholic fatty liver disease patients using the FAST Score: A paired biopsy study. HEPATOLOGY FORUM 2024; 5:33-36. [PMID: 38283271 PMCID: PMC10809337 DOI: 10.14744/hf.2023.2023.0021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/05/2023] [Accepted: 06/14/2023] [Indexed: 01/30/2024]
Abstract
Background and Aim This study aimed to investigate the predictive value of various non-invasive scores for identifying the progression of hepatic fibrosis over time in patients with Non-Alcoholic Fatty Liver Disease (NAFLD). Materials and Methods We examined 69 patients with NAFLD who had undergone two liver biopsies at an average interval of 21.3±9.7 months. Progression and regression of fibrosis were defined as an increase or decrease of at least one stage in fibrosis between the initial and follow-up biopsies, respectively. The Fibrosis-4 Index (FIB-4), NAFLD Fibrosis Score (NFS), Agile 3+, Agile 4, and FibroScan-AST (FAST) scores were calculated at the initial biopsy. Results Comparison of paired biopsies revealed that 45% of participants (n=31) exhibited no change in fibrosis stages, 26% (n=18) experienced progression, and 29% (n=20) demonstrated regression. Multivariable logistic regression analysis identified the FAST score as the only independent predictor of progressive fibrosis, with the odds increasing by 19% (95% CI: 8-38%, p<0.05) for each unit increase in the FAST score at the initial biopsy. No independent predictors for fibrosis regression were identified. Conclusion Higher baseline FAST scores were associated with an increased likelihood of fibrosis progression, independent of other variables. Thus, the FAST score could serve as both a diagnostic and prognostic tool for fibrosis in patients with NAFLD.
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Affiliation(s)
- Nisanur Sariyar
- Department of Internal Medicine, Marmara University School of Medicine, Istanbul, Turkiye
| | - Haluk Tarik Kani
- Department of Gastroenterology, Marmara University School of Medicine, Istanbul, Turkiye
| | | | - Yusuf Yilmaz
- Liver Research Unit, Institute of Gastroenterology, Marmara University, Istanbul, Turkiye
- Department of Gastroenterology, Recep Tayyip Erdogan University School of Medicine, Rize, Turkiye
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Vaz K, Clayton-Chubb D, Majeed A, Lubel J, Simmons D, Kemp W, Roberts SK. Current understanding and future perspectives on the impact of changing NAFLD to MAFLD on global epidemiology and clinical outcomes. Hepatol Int 2023; 17:1082-1097. [PMID: 37556065 PMCID: PMC10522780 DOI: 10.1007/s12072-023-10568-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/27/2023] [Indexed: 08/10/2023]
Abstract
INTRODUCTION For the first time in nearly half a century, fatty liver disease has undergone a change in name and definition, from the exclusive term, non-alcoholic fatty liver disease (NAFLD), to the inclusion-based, metabolic-associated fatty liver disease (MAFLD). This has led investigators across the globe to evaluate the impact the nomenclature change has had on the epidemiology and natural history of the disease. METHODS This systematic review provides a comprehensive overview on how the shift in name and diagnostic criteria has influenced point prevalence in different geographic regions, as well as morbidity and mortality risk, whilst highlighting gaps in the literature that need to be addressed. CONCLUSIONS MAFLD prevalence is higher than NAFLD prevalence, carries a higher risk of overall mortality, with greater granularity in risk-stratification amongst MAFLD subtypes.
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Affiliation(s)
- Karl Vaz
- Department of Gastroenterology and Hepatology, Ground Floor Alfred Centre, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia.
- Central Clinical School, Monash University, Melbourne, Australia.
| | - Daniel Clayton-Chubb
- Department of Gastroenterology and Hepatology, Ground Floor Alfred Centre, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, Australia
| | - Ammar Majeed
- Department of Gastroenterology and Hepatology, Ground Floor Alfred Centre, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, Australia
| | - John Lubel
- Department of Gastroenterology and Hepatology, Ground Floor Alfred Centre, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, Australia
| | - David Simmons
- Macarthur Clinical School, School of Medicine, Western Sydney University, Campbelltown, Australia
| | - William Kemp
- Department of Gastroenterology and Hepatology, Ground Floor Alfred Centre, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, Australia
| | - Stuart K Roberts
- Department of Gastroenterology and Hepatology, Ground Floor Alfred Centre, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia
- Central Clinical School, Monash University, Melbourne, Australia
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Sato S, Iino C, Chinda D, Sasada T, Tateda T, Kaizuka M, Nomiya H, Igarashi G, Sawada K, Mikami T, Nakaji S, Sakuraba H, Fukuda S. Effect of Liver Fibrosis on Oral and Gut Microbiota in the Japanese General Population Determined by Evaluating the FibroScan-Aspartate Aminotransferase Score. Int J Mol Sci 2023; 24:13470. [PMID: 37686272 PMCID: PMC10487682 DOI: 10.3390/ijms241713470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 08/18/2023] [Accepted: 08/28/2023] [Indexed: 09/10/2023] Open
Abstract
The association between liver fibrosis and oral or gut microbiota has been studied before. However, epidemiological studies in the general population are limited owing to the difficulty of noninvasive liver-fibrosis assessment. FibroScan-asparate aminotransferase (FAST) scores can be used to accurately and non-invasively evaluate liver fibrosis. This study aimed to determine the association between liver fibrosis and oral or gut microbiota using the FAST score in the general population. After propensity score matching of 1059 participants based on sex, age, body mass index, homeostasis model assessment of insulin resistance, and triglyceride levels, 125 (non-liver-fibrosis group, 100; liver fibrosis group, 25) were included. The diversity of gut microbiota differed significantly between the two groups; however, no significant differences were noted in their oral microbiota. The liver fibrosis group showed an increase in the relative abundance of Fusobacteria strains and a decrease in the relative abundance of Faecalibacterium, with the presence of Fusicatenibacter in the gut microbiota. Feacalibacterium was not identified as an independent factor of liver fibrosis in adjusting the fatty liver index. In the general population, gut microbiota may be more involved in liver fibrosis than oral microbiota.
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Affiliation(s)
- Satoshi Sato
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
| | - Chikara Iino
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
| | - Daisuke Chinda
- Division of Endoscopy, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan
| | - Takafumi Sasada
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
| | - Tetsuyuki Tateda
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
| | - Masatoshi Kaizuka
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
| | - Hiroki Nomiya
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
| | - Go Igarashi
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
| | - Kaori Sawada
- Department of Preemptive Medicine, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (K.S.); (T.M.)
| | - Tatsuya Mikami
- Department of Preemptive Medicine, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (K.S.); (T.M.)
| | - Shigeyuki Nakaji
- Center of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan;
| | - Hirotake Sakuraba
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
| | - Shinsaku Fukuda
- Department of Gastroenterology and Hematology, Hirosaki University Graduate School of Medicine, Hirosaki 036-8562, Japan; (S.S.); (T.S.); (T.T.); (M.K.); (H.N.); (G.I.); (H.S.); (S.F.)
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Lim GEH, Tang A, Ng CH, Chin YH, Lim WH, Tan DJH, Yong JN, Xiao J, Lee CWM, Chan M, Chew NW, Xuan Tan EX, Siddiqui MS, Huang D, Noureddin M, Sanyal AJ, Muthiah MD. An Observational Data Meta-analysis on the Differences in Prevalence and Risk Factors Between MAFLD vs NAFLD. Clin Gastroenterol Hepatol 2023; 21:619-629.e7. [PMID: 34871813 DOI: 10.1016/j.cgh.2021.11.038] [Citation(s) in RCA: 90] [Impact Index Per Article: 90.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/12/2021] [Accepted: 11/16/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND & AIMS The shift to redefine nonalcoholic fatty liver disease (NAFLD) as metabolic associated fatty liver disease (MAFLD) can profoundly affect patient care, health care professionals, and progress within the field. To date, there remains no consensus on the characterization of NAFLD vs MAFLD. Thus, this study sought to compare the differences between the natural history of NAFLD and MAFLD. METHODS Medline and Embase databases were searched to include articles on prevalence, risk factors, or outcomes of patients with MAFLD or NAFLD. Meta-analysis of proportions was conducted using the generalized linear mix model. Risk factors and outcomes were evaluated in conventional pairwise meta-analysis. RESULTS Twenty-two articles involving 379,801 patients were included. Pooled prevalence of MAFLD was 39.22% (95% confidence interval [CI], 30.96%-48.15%) with the highest prevalence in Europe and Asia, followed by North America. The current MAFLD Definition only accounted for 81.59% (95% CI, 66.51%-90.82%) of NAFLD diagnoses. Patients had increased odds of being diagnosed with MAFLD compared with NAFLD (odds ratio, 1.37; 95% CI, 1.16-1.63; P < .001). Imaging modality resulted in a significantly higher odds of being diagnosed with MAFLD compared with NAFLD, but not biopsy. MAFLD was significantly associated with males, higher body mass index, hypertension, diabetes, lipids, transaminitis, and greater fibrosis scores compared with NAFLD. CONCLUSIONS There were stark differences in the prevalence and risk factors between MAFLD and NAFLD. However, in the use of the MAFLD Definition, a greater emphasis on the management of concomitant metabolic diseases and a collaborative effort is required to explore the complex pathophysiologic mechanisms underlying the disease.
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Affiliation(s)
- Grace En Hui Lim
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Ansel Tang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Yip Han Chin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Darren Jun Hao Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jie Ning Yong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jieling Xiao
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Chloe Wen-Min Lee
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Mark Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Nicholas Ws Chew
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Eunice Xiang Xuan Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Mohammad Shadab Siddiqui
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Daniel Huang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Mazen Noureddin
- Cedars-Sinai Fatty Liver Program, Division of Digestive and Liver Diseases, Department of Medicine, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California
| | - Arun J Sanyal
- Division of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, Virginia
| | - Mark D Muthiah
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore; National University Centre for Organ Transplantation, National University Health System, Singapore.
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Payne JY, Alkhouri N, Le P, Rothberg MB, Polanco P, Sakkal C, Dasarathy S. Prevalence of at-risk NASH and its association with metabolic syndrome in US adults with NAFLD, 2017-2018. Hepatol Commun 2023; 7:e0019. [PMID: 36633494 PMCID: PMC9833447 DOI: 10.1097/hc9.0000000000000019] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 07/22/2022] [Indexed: 01/13/2023] Open
Abstract
Patients with metabolic syndrome (MetS) have a higher risk for NASH and significant fibrosis. Presence of NASH and advanced fibrosis are associated with adverse outcomes in patients with NAFLD. Using a noninvasive method, we determined the prevalence of at-risk NASH and its association with MetS components in a large population-based analysis. We used the 2017-2018 National Health and Nutrition Examination Survey and included adults ≥18 years with NAFLD (controlled attenuation parameter ≥274 dB/m). Pregnancy, subjects with other causes of liver disease or missing data were excluded. FibroScan-AST (FAST) score was calculated using aspartate aminotransferase, liver stiffness measurement, and controlled attenuation parameter. Patients with a FAST score >0.35 were considered to have at-risk NASH, defined as NASH with NAFLD activity score ≥4 and fibrosis stage ≥2 on liver biopsy. The sample included 687 patients. The overall prevalence of at-risk NASH was 11.6% (95% CI: 8.8-15.1) and was higher in males than females (15.8% vs. 6.5%; p < 0.001). Subjects with comorbidities (diabetes mellitus, obesity, MetS, and insulin resistance) had between 1.3 and 1.7 times higher prevalence than the general population. Among MetS components, elevated glucose/diabetes, large waist circumference, and low HDL were independent risk factors for at risk-NASH. The number of MetS components was also important-one additional component increased the odds of at-risk NASH by 2 times. The FAST score had the highest correlation with alanine aminotransferase (r= 0.70; p < 0.001). We estimated ~9 million people in the US have at-risk NASH and may benefit from active surveillance and therapy.
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Affiliation(s)
- Julia Y. Payne
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, Ohio, USA
- Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | | | - Phuc Le
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, Ohio, USA
| | - Michael B. Rothberg
- Center for Value-Based Care Research, Cleveland Clinic, Cleveland, Ohio, USA
| | | | | | - Srinivasan Dasarathy
- Department of Inflammation and Immunity, Lerner Research Institute and Department of Gastroenterology, Hepatology, and Nutrition, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Tateda T, Iino C, Sasada T, Sato S, Igarashi G, Kawaguchi S, Mikami K, Endo T, Sawada K, Mikami T, Fukuda S, Nakaji S, Sakuraba H. Evaluation of metabolic dysfunction-associated fatty liver disease using FibroScan, diet, and microbiota: A large cross-sectional study. PLoS One 2022; 17:e0277930. [PMID: 36417462 PMCID: PMC9683607 DOI: 10.1371/journal.pone.0277930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE We evaluated the clinical characteristics of metabolic dysfunction-associated fatty liver disease (MAFLD) to evaluate the usefulness of the MAFLD diagnostic criteria in a resident health survey. METHODS In 1056 participants of a health survey, we compared obesity, diabetes, metabolic dysregulation, FibroScan-aspartate aminotransferase (FAST) score, dietary habits, and gut microbiota between healthy individuals and participants with MAFLD and Nonalcoholic fatty liver disease (NAFLD). RESULTS The proportion of participants with MAFLD in the fatty liver was higher than that with NAFLD (88.1% vs. 75.5%, respectively). Of 36 participants with a FAST score > 0.35, 29 (80.6%) participants had MAFLD and 23 (63.9%) participants had NAFLD. Of 29 patients with liver fibrosis, 26 (89.7%) participants had obesity and metabolic dysregulation. In the evaluation of diet, the total energy, protein, dietary fiber, and salt intake were significantly higher in participants with MAFLD than those in participants without fatty liver. In the microbiota analysis, the results of the linear discriminant analysis effect size analysis revealed nine bacterial genera that were significantly different in participants with MAFLD in comparison with participants without fatty liver. Of these genera, the relative abundance of Blautia was especially low in participants with MAFLD. CONCLUSION In a resident health survey, participants with MAFLD had a higher proportion of fatty liver than those with NAFLD. MAFLD criteria could help in improved screening of participants with liver fibrosis. Therefore, the MAFLD criteria could be a useful diagnostic tool for aggressively identifying participants with a high risk of fatty liver. Additionally, Blautia might be involved in the development of MAFLD.
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Affiliation(s)
- Tetsuyuki Tateda
- Department of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Chikara Iino
- Department of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
- * E-mail:
| | - Takafumi Sasada
- Department of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Satoshi Sato
- Department of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Go Igarashi
- Department of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Shogo Kawaguchi
- Department of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | | | - Tetsu Endo
- Department of Gastroenterology and Internal Medicine, Mutsu General Hospital, Mutsu, Japan
| | - Kaori Sawada
- Center of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Tatsuya Mikami
- Center of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Shinsaku Fukuda
- Center of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Shigeyuki Nakaji
- Center of Healthy Aging Innovation, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | - Hirotake Sakuraba
- Department of Gastroenterology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
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10
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Chan KE, Koh TJL, Tang ASP, Quek J, Yong JN, Tay P, Tan DJH, Lim WH, Lin SY, Huang D, Chan M, Khoo CM, Chew NWS, Kaewdech A, Chamroonkul N, Dan YY, Noureddin M, Muthiah M, Eslam M, Ng CH. Global Prevalence and Clinical Characteristics of Metabolic-associated Fatty Liver Disease: A Meta-Analysis and Systematic Review of 10 739 607 Individuals. J Clin Endocrinol Metab 2022; 107:2691-2700. [PMID: 35587339 DOI: 10.1210/clinem/dgac321] [Citation(s) in RCA: 93] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Indexed: 12/13/2022]
Abstract
BACKGROUND AND AIMS Metabolic-associated fatty liver disease (MAFLD) was proposed as a better definition of nonalcoholic fatty liver disease (NAFLD) to encompass the metabolic dysregulation associated with NAFLD. This redefinition challenges our understanding of the disease. Hence, this study sought to conduct an updated analysis of the prevalence, clinical characteristics, and associated factors of MAFLD, with a further sensitivity analysis done based on lean and nonobese MAFLD individuals. METHODS Medline and Embase databases were searched to include articles on MAFLD. Meta-analysis of proportions was conducted using the generalized linear mix model. Associating factors were evaluated in conventional pairwise meta-analysis with sensitivity analysis on lean and nonobese MAFLD. RESULTS From pooled analysis involving 3 320 108 individuals, the overall prevalence of MAFLD was 38.77% (95% CI 32.94% to 44.95%); 5.37% (95% CI 4.36% to 6.59%) and 29.78% (95% CI 26.06% to 33.79%) of lean and nonobese individuals, respectively, had MAFLD. Metabolic complications such as hypertension [odds ratio (OR) 2.63, 95% CI 1.85 to 3.74, P < 0.0001 and OR 2.03; 95% CI 1.74 to 2.38, P < 0.0001, respectively] and diabetes (OR 3.80, 95% CI 2.65 to 5.43, P < 0.0001 and OR 3.46, 95% CI 2.81 to 4.27, P < 0.0001, respectively) were found as significant associating factors associated with lean and nonobese MAFLD. CONCLUSIONS This meta-analysis supports previous studies in reporting MAFLD to affect more than a third of the global population. While exploration of the pathogenic basis of fatty liver disease without metabolic dysregulation is required, the emphasis on management of concomitant metabolic disease in MAFLD can improve multidisciplinary efforts in managing the complex disease.
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Affiliation(s)
- Kai En Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Tiffany Jia Ling Koh
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia
| | - Ansel Shao Pin Tang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jingxuan Quek
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jie Ning Yong
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Phoebe Tay
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Darren Jun Hao Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Wen Hui Lim
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Snow Yunni Lin
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Daniel Huang
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Mark Chan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Chin Meng Khoo
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Division of Endocrinology, Department of Medicine, National University Hospital, Singapore
| | - Nicholas W S Chew
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Cardiology, National University Heart Centre, National University Hospital, Singapore
| | - Apichat Kaewdech
- Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Naichaya Chamroonkul
- Division of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai, Thailand
| | - Yock Young Dan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
| | - Mazen Noureddin
- Cedars-Sinai Fatty Liver Program, Division of Digestive and Liver Diseases, Department of Medicine, Comprehensive Transplant Center, Cedars-Sinai Medical Centre, Los Angeles, CA,USA
| | - Mark Muthiah
- Division of Gastroenterology and Hepatology, Department of Medicine, National University Hospital, Singapore
- National University Centre for Organ Transplantation, National University Health System, Singapore
| | - Mohammed Eslam
- Storr Liver Centre, Westmead Institute for Medical Research, Westmead Hospital and University of Sydney, Sydney, Australia
| | - Cheng Han Ng
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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11
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The Determinants of Liver Fibrosis in Patients with Nonalcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus. Biomedicines 2022; 10:biomedicines10071487. [PMID: 35884792 PMCID: PMC9312509 DOI: 10.3390/biomedicines10071487] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/19/2022] [Accepted: 06/21/2022] [Indexed: 12/12/2022] Open
Abstract
Liver fibrosis is a key pathophysiology process in chronic liver disease. It is still unclear whether the impact of liver fibrosis is not fully realized in type 2 diabetes mellitus (T2D) patients with nonalcoholic fatty liver disease (NAFLD), and the factors affecting nonalcoholic steatohepatitis (NASH) or liver stiffness also remain unclear. The aim of this study was to evaluate the determinants of liver fibrosis and in T2D patients with NAFLD. Liver fibrosis and steatosis were measured using transient elastography (FibroScan). Of 226 T2D patients with NAFLD, 50 with liver fibrosis had higher body mass index, serum uric acid, triglyceride and glycated hemoglobin levels and lower high density lipoprotein levels than 176 without liver fibrosis. Multivariate analysis revealed that aging, obesity, sulfonylurea usage and high levels of AST increased the risk of liver fibrosis in T2D patients with NAFLD. Our findings provide useful information to clinical physicians for earlier detection of liver fibrosis in T2D patients with NAFLD and to prevent liver fibrosis through controlling these risk factors.
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12
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Fujii H, Nakamura N, Fukumoto S, Kimura T, Nakano A, Nadatani Y, Tauchi Y, Nishii Y, Takashima S, Kamada Y, Watanabe T, Kawada N. Lifestyle changes during the coronavirus disease 2019 pandemic impact metabolic dysfunction-associated fatty liver disease. Liver Int 2022; 42:995-1004. [PMID: 34995404 DOI: 10.1111/liv.15158] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Revised: 12/14/2021] [Accepted: 01/03/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND AND AIMS The coronavirus disease 2019 (COVID-19) pandemic precipitated lifestyle changes. We aimed to clarify whether COVID-19-induced lifestyle changes affected the development of metabolic dysfunction-associated fatty liver disease (MAFLD). METHODS This retrospective longitudinal study included 973 participants who underwent health check-ups between 2018 and 2020. We used data from the MedCity21 health examination registry. Participants' clinical characteristics and lifestyle habits were investigated. Independent lifestyle predictors of MAFLD development before the pandemic (2018-2019) and during the pandemic (2019-2020) were identified using logistic regression analysis. RESULTS In 2018, 261 (27%) patients were diagnosed with MAFLD. Before the pandemic, 22 patients developed new MAFLD. During this time, routine late-night meals were identified as an independent lifestyle predictor of MAFLD development (hazard ratio [HR] 2.54, 95% confidence interval [CI] 1.02-6.36, P = .046). In contrast, 44 patients developed new MAFLD during the pandemic. During this time, higher daily alcohol intake was identified as an independent lifestyle predictor of MAFLD development (HR 1.03, 95% CI 1.01-1.05, P = .008). In participants aged <60 years, daily alcohol intake and the proportion of participants who ate 2 times/day were significantly higher in patients who developed MAFLD during the pandemic than in those who did not. In participants aged ≥60 years, no lifestyle habits were associated with MAFLD development before or during the pandemic. CONCLUSIONS New MAFLD diagnoses increased during the COVID-19 pandemic. Changes in lifestyle factors, particularly in those aged <60 years, must be monitored and addressed as the pandemic continues.
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Affiliation(s)
- Hideki Fujii
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Naotoshi Nakamura
- Interdisciplinary Biology Laboratory, Division of Biological Science, Graduate School of Science, Nagoya University, Nagoya, Japan
| | - Shinya Fukumoto
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Tatsuo Kimura
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Akemi Nakano
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Yuji Nadatani
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Yukie Tauchi
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Yuuko Nishii
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Shingo Takashima
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Yoshihiro Kamada
- Department of Advanced Metabolic Hepatology, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Toshio Watanabe
- Department of Premier Preventive Medicine, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Norifumi Kawada
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
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13
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Ayada I, van Kleef LA, Alferink LJM, Li P, de Knegt RJ, Pan Q. Systematically comparing epidemiological and clinical features of MAFLD and NAFLD by meta-analysis: Focusing on the non-overlap groups. Liver Int 2022; 42:277-287. [PMID: 34953098 DOI: 10.1111/liv.15139] [Citation(s) in RCA: 53] [Impact Index Per Article: 26.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 11/23/2021] [Accepted: 11/27/2021] [Indexed: 12/14/2022]
Abstract
BACKGROUND & AIMS The applicability of the novel metabolic dysfunction associated fatty liver disease (MAFLD) definition has been studied in numerous cohorts and compared to non-alcoholic fatty liver disease (NAFLD). No consensus has been reached on which definition is preferred. Therefore, this meta-analysis aims to compare the epidemiological and clinical features of NAFLD and MAFLD in the general and non-general population. METHODS We searched Medline, Embase and Web of Science for studies comparing MAFLD to NAFLD. Based on MAFLD and NAFLD status, the following subgroups were investigated for liver health: overlap fatty liver disease (FLD), NAFLD-only and MAFLD-only. Data were pooled using random-effects models. RESULTS We included 17 studies comprising 9 808 677 individuals. In the general population, MAFLD was present in 33.0% (95% CI 29.7%-36.5%) and NAFLD in 29.1% (95% CI 27.1%-31.1%). Among those with FLD, 4.0% (95% CI 2.4%-6.4%) did not meet the MAFLD criteria but had NAFLD (NAFLD-only) and 15.1% (95% CI 11.5%-19.5%) was exclusively captured by the novel MAFLD definition (MAFLD-only). Notably, this MAFLD-only group was at significantly increased risk for fibrosis (RR 4.2; 95% CI 1.3-12.9) and had higher alanine aminotransferase (mean difference: 8.0 U/L, 95% CI 2.6-13.5) and aspartate aminotransferase (mean difference: 6.4 U/L, 95% CI 3.0-9.7), compared to NAFLD-only. Similar results were obtained among the non-general population. CONCLUSIONS Metabolic dysfunction associated fatty liver disease and NAFLD are highly prevalent in the general population, with considerable overlap between them. However, compared to NAFLD, significantly more individuals were additionally identified by MAFLD than were missed. Importantly, by using the MAFLD criteria, more individuals with liver damage were identified. Therefore, the novel MAFLD definition is superior to NAFLD on a population level.
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Affiliation(s)
- Ibrahim Ayada
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Laurens A van Kleef
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Louise J M Alferink
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Pengfei Li
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Robert J de Knegt
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Qiuwei Pan
- Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
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14
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Kaya E, Yilmaz Y. Epidemiology, natural history, and diagnosis of metabolic dysfunction-associated fatty liver disease: a comparative review with nonalcoholic fatty liver disease. Ther Adv Endocrinol Metab 2022; 13:20420188221139650. [PMID: 36533185 PMCID: PMC9747887 DOI: 10.1177/20420188221139650] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 10/31/2022] [Indexed: 12/14/2022] Open
Abstract
Metabolic (dysfunction)-associated fatty liver disease (MAFLD) is the most common chronic liver disease worldwide - with an estimated global prevalence of 37%. Different from nonalcoholic fatty liver disease (NAFLD), which is an exclusion diagnosis, MAFLD is defined by a set of positive criteria. This recent change in terminology is challenging because MAFLD and NAFLD denote two similar, albeit not identical, clinical populations. When the diagnostic criteria for MAFLD are applied, liver histology appears more severe and clinical outcomes are less favorable. However, the clinical management of MAFLD and NAFLD remains similar. While liver biopsy is still the reference standard for achieving a final diagnosis, noninvasive imaging- or biomarker-based diagnostic modalities are currently gaining momentum. However, liver biopsy should be recommended when diagnostic challenges exist. In this review, we compared the epidemiology, natural history, and diagnosis of MAFLD with respect to the traditional NAFLD definition.
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Affiliation(s)
- Eda Kaya
- Section of Gastroenterology and Hepatology, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany
- Department of Medicine, University Hospital Knappschaftskrankenhaus Bochum, Ruhr University Bochum, Bochum, Germany
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