Abstract
Background
To overcome the limitations of the term “non-alcoholic fatty liver disease” (NAFLD), the term metabolic-associated steatotic liver disease (MASLD) was introduced. While epidemiologic studies have been conducted on MASLD, there is limited evidence on its associated sex and ethnic variations.
Aims
This study assesses the differences across sex and race-ethnicity on the prevalence, associated risk factors and adverse outcomes in individuals with MASLD.
Methods
Data retrieved from the National Health and Nutrition Examination Survey between 1999 to 2018 was analyzed. Prevalence, clinical characteristics, and outcomes were evaluated according to sex and race-ethnicity. Adverse outcomes and mortality events were analyzed using multivariate analyses.
Results
Of 40,166 individuals included, 37.63% had MASLD. There was a significant increase in MASLD prevalence from 1999 to 2018 among Mexican Americans (Annual Percentage Change [APC] + 1.889%, p < 0.001), other Hispanics (APC + 1.661%, p = 0.013), NH Whites (APC + 1.084%, p = 0.018), NH Blacks (APC + 1.108%, p = 0.007), and females (APC + 0.879%, p = 0.030), but not males. Females with MASLD were at lower risk of all-cause (HR: 0.766, 95%CI 0.711 to 0.825, p < 0.001), cardiovascular disease-related (CVD) (SHR: 0.802, 95% CI 0.698 to 0.922, p = 0.002) and cancer-related mortality (SHR: 0.760, 95% CI 0.662 to 0.873, p < 0.001). Significantly, NH Blacks have the highest risk of all-cause and CVD-related mortality followed by NH Whites then Mexican Americans.
Conclusion
There has been an increase in prevalence in most race-ethnicities over time. While the change in definition shows no significant differences in previous associations found in NAFLD, the increased mortality in NH Whites relative to Mexican Americans remains to be explored.
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Data availability
The National Health and Nutrition Examination Survey data has been publicly made available. All articles in this manuscript are available from Medline and Embase.
References
Younossi ZM, Golabi P, Paik JM, Henry A, Van Dongen C, Henry L. The global epidemiology of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH): a systematic review. Hepatology. 2023;77:1335–1347.
Ng CH, Lim WH, Chin YH, Yong JN, Zeng RW, Chan KE et al. Living in the non-alcoholic fatty liver disease silent epidemic: a qualitative systematic review of patients’ perspectives. Aliment Pharmacol Ther. 2022;56:570–579.
Rinella ME, Lazarus JV, Ratziu V, Francque SM, Sanyal AJ, Kanwal F et al. A multi-society Delphi consensus statement on new fatty liver disease nomenclature. Hepatology. 2023;79:E93–E94.
Song SJ, Che-To Lai J, Lai-Hung Wong G, Wai-Sun Wong V, Cheuk-Fung Yip T. Can we use old NAFLD data under the new MASLD definition? J Hepatol. 2023;80:e54.
Hagstrom H, Vessby J, Ekstedt M, Shang Y. 99% of patients with NAFLD meet MASLD criteria and natural history is therefore identical. J Hepatol. 2023;80:e76.
Rich NE, Oji S, Mufti AR, Browning JD, Parikh ND, Odewole M et al. Racial and ethnic disparities in nonalcoholic fatty liver disease prevalence, severity, and outcomes in the united states: a systematic review and meta-analysis. Clin Gastroenterol Hepatol. 2018;16:198–210.
Romeo S, Kozlitina J, **ng C, Pertsemlidis A, Cox D, Pennacchio LA et al. Genetic variation in PNPLA3 confers susceptibility to nonalcoholic fatty liver disease. Nat Genet. 2008;40:1461–1465.
Mancina RM, Dongiovanni P, Petta S, **itore P, Meroni M, Rametta R et al. The MBOAT7-TMC4 VARIANT rs641738 increases risk of nonalcoholic fatty liver disease in individuals of European descent. Gastroenterology. 2016;150:1219–1230.
Lonardo A, Nascimbeni F, Ballestri S, Fairweather D, Win S, Than TA et al. Sex differences in nonalcoholic fatty liver disease: state of the art and identification of research gaps. Hepatology. 2019;70:1457–1469.
Mauvais-Jarvis F, Bairey Merz N, Barnes PJ, Brinton RD, Carrero JJ, DeMeo DL et al. Sex and gender: modifiers of health, disease, and medicine. Lancet. 2020;396:565–582.
CDC. National Health and Nutrition Examination Survey (NHANES). 2017;2020.
Bedogni G, Bellentani S, Miglioli L, Masutti F, Passalacqua M, Castiglione A et al. The fatty liver index: a simple and accurate predictor of hepatic steatosis in the general population. BMC Gastroenterol. 2006;6:33.
(WHO) WHO. Obesity and Overweight 2021
National Health and Nutrition Examination Survey (NHANES) MEC Laboratory Procedures Manual Centers for disease control and prevention. 2017.
Ruhl CE, Everhart JE. Fatty liver indices in the multiethnic United States National Health and Nutrition Examination Survey. Aliment Pharmacol Ther. 2015;41:65–76.
Organisation WH. Obesity and Overweight Fact Sheet: World Health Organisation; 2021 https://www.who.int/en/news-room/fact-sheets/detail/obesity-and-overweight.
American Diabetes A.2. Classification and diagnosis of diabetes: standards of medical care in diabetes—2019. Diabetes Care 2018;42:S13–S28.
O’Hearn M, Lauren BN, Wong JB, Kim DD, Mozaffarian D. Trends and disparities in cardiometabolic health among US adults, 1999–2018. J Am Coll Cardiol. 2022;80:138–151.
Whelton PK, Carey RM, Aronow WS, Casey DE Jr, Collins KJ, Dennison Himmelfarb C et al. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA guideline for the prevention, detection, evaluation, and management of high blood pressure in adults: executive summary: a report of the American college of cardiology/American heart association task force on clinical practice guidelines. Hypertension. 2018;71:1269–1324.
Cao YT, **ang LL, Qi F, Zhang YJ, Chen Y, Zhou XQ. Accuracy of controlled attenuation parameter (CAP) and liver stiffness measurement (LSM) for assessing steatosis and fibrosis in non-alcoholic fatty liver disease: a systematic review and meta-analysis. EClinicalMedicine. 2022;51:101547.
Pennisi G, Enea M, Pandolfo A, Celsa C, Antonucci M, Ciccioli C et al. AGILE 3+ score for the diagnosis of advanced fibrosis and for predicting liver-related events in NAFLD. Clin Gastroenterol Hepatol. 2023;21:1293–1302.
Newsome PN, Sasso M, Deeks JJ, Paredes A, Boursier J, Chan WK et al. FibroScan-AST (FAST) score for the non-invasive identification of patients with non-alcoholic steatohepatitis with significant activity and fibrosis: a prospective derivation and global validation study. Lancet Gastroenterol Hepatol. 2020;5:362–373.
Kallwitz ER, Daviglus ML, Allison MA, Emory KT, Zhao L, Kuniholm MH et al. Prevalence of suspected nonalcoholic fatty liver disease in Hispanic/Latino individuals differs by heritage. Clin Gastroenterol Hepatol. 2015;13:569–576.
Pan JJ, Fallon MB. Gender and racial differences in nonalcoholic fatty liver disease. World J Hepatol. 2014;6:274–283.
Sookoian S, Pirola CJ. Meta-analysis of the influence of I148M variant of patatin-like phospholipase domain containing 3 gene (PNPLA3) on the susceptibility and histological severity of nonalcoholic fatty liver disease. Hepatology. 2011;53:1883–1894.
Chinchilla-Lopez P, Ramirez-Perez O, Cruz-Ramon V, Canizales-Quinteros S, Dominguez-Lopez A, Ponciano-Rodriguez G et al. More evidence for the genetic susceptibility of Mexican population to nonalcoholic fatty liver disease through PNPLA3. Ann Hepatol. 2018;17:250–255.
Zhang QQ, Lu LG. Nonalcoholic fatty liver disease: dyslipidemia, risk for cardiovascular complications, and treatment strategy. J Clin Transl Hepatol. 2015;3:78–84.
Yasuda M, Shimizu I, Shiba M, Ito S. Suppressive effects of estradiol on dimethylnitrosamine-induced fibrosis of the liver in rats. Hepatology. 1999;29:719–727.
Besse-Patin A, Leveille M, Oropeza D, Nguyen BN, Prat A, Estall JL. Estrogen signals through peroxisome proliferator-activated receptor-gamma coactivator 1alpha to reduce oxidative damage associated with diet-induced fatty liver disease. Gastroenterology. 2017;152:243–256.
Le MH, Yeo YH, Cheung R, Wong VW, Nguyen MH. Ethnic influence on nonalcoholic fatty liver disease prevalence and lack of disease awareness in the United States, 2011–2016. J Intern Med. 2020;287:711–722.
Ochoa-Allemant P, Marrero JA, Serper M. Racial and ethnic differences and the role of unfavorable social determinants of health across steatotic liver disease subtypes in the United States. Hepatol Commun. 2023. https://doi.org/10.1097/HC9.0000000000000324.
Nguyen VH, Le I, Ha A, Le RH, Rouillard NA, Fong A et al. Differences in liver and mortality outcomes of non-alcoholic fatty liver disease by race and ethnicity: a longitudinal real-world study. Clin Mol Hepatol. 2023;29:1002–1012.
Younossi ZM, Otgonsuren M, Venkatesan C, Mishra A. In patients with non-alcoholic fatty liver disease, metabolically abnormal individuals are at a higher risk for mortality while metabolically normal individuals are not. Metabolism. 2013;62:352–360.
Post WS, Watson KE, Hansen S, Folsom AR, Szklo M, Shea S et al. Racial and ethnic differences in all-cause and cardiovascular disease mortality: The MESA study. Circulation. 2022;146:229–239.
Weight N, Moledina S, Volgman AS, Bagur R, Wijeysundera HC, Sun LY et al. Socioeconomic disparities in the management and outcomes of acute myocardial infarction. Heart. 2023;110:122–131.
Peterson K, Anderson J, Boundy E, Ferguson L, McCleery E, Waldrip K. Mortality disparities in racial/ethnic minority groups in the Veterans Health Administration: an evidence review and map. Am J Public Health. 2018;108:e1–e11.
Kardashian A, Serper M, Terrault N, Nephew LD. Health disparities in chronic liver disease. Hepatology. 2023;77:1382–1403.
Bailey ZD, Feldman JM, Bassett MT. How structural racism works—racist policies as a root cause of U.S. racial health inequities. N Engl J Med. 2021;384:768–773.
Hassani Zadeh S, Mansoori A, Hosseinzadeh M. Relationship between dietary patterns and non-alcoholic fatty liver disease: a systematic review and meta-analysis. J Gastroenterol Hepatol. 2021;36:1470–1478.
Heidemann C, Schulze MB, Franco OH, van Dam RM, Mantzoros CS, Hu FB. Dietary patterns and risk of mortality from cardiovascular disease, cancer, and all causes in a prospective cohort of women. Circulation. 2008;118:230–237.
Ng CH, Chan KE, Chin YH, Zeng RW, Tsai PC, Lim WH et al. The effect of diabetes and prediabetes on the prevalence, complications and mortality in non-alcoholic fatty liver disease. Clin Mol Hepatol. 2022. https://doi.org/10.3350/cmh.2022.0096
Chew NWS, Ng CH, Chan KE, Chee D, Syn N, Nobuharu T, et al. The Fibrosis-4 (FIB-4) Index predicts cardiovascular major adverse events and mortality in patients with non-alcoholic fatty liver disease. Can J Cardiol. 2022. https://doi.org/10.1016/j.cjca.2022.07.016
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Conception and design: Cheng Han Ng, Mark Muthiah. Administrative support: Nicholas Syn, Nobuharu Tamaki, Mohammad Shadab Siddiqui, Karn Wijarnpreecha, George N. Ioannou, Atsushi Nakajima, Mazen Noureddin, Arun J Sanyal. Provision of study materials or patient: N.A. Collection and assembly of data: Clarissa Elysia Fu, Margaret Teng, Christen Ong, Benjamin Koh, Jia Hong Koh, Benjamin Nah, Nicholas Syn, Nobuharu Tamaki, Mohammad Shadab Siddiqui, Karn Wijarnpreecha. Data analysis and interpretation: Clarissa Elysia Fu, Margaret Teng, Daniel Tung, Vijay Ramadoss, Wen Hui Lim, Darren Jun Hao Tan, Jia Hong Koh, Benjamin Nah, George N. Ioannou, Atsushi Nakajima, Mazen Noureddin, Arun J Sanyal. Manuscript writing: All authors. Final approval of manuscript: All authors. All authors have read and approved the final version of the manuscript for submission.
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All authors have completed the ICMJE uniform disclosure form. C.H.N. and M.M. has served as a consultant in Boxer Capital. A.J.S. is the President of Sanyal Biotechnology and has stock options in Genfit, Akarna, Tiziana, Indalo, Durect and Galmed. He has served as a consultant to Astra Zeneca, Nitto Denko, Enyo, Ardelyx, Conatus, Nimbus, Amarin, Salix, Tobira, Takeda, Jannsen, Gilead, Terns, Birdrock, Merck, Valeant, Boehringer-Ingelheim, Lilly, Hemoshear, Zafgen, Novartis, Novo Nordisk, Pfizer, Exhalenz and Genfit. He has been an unpaid consultant to Intercept, Echosens, Immuron, Galectin, Fractyl, Syntlogic, Affimune, Chemomab, Zydus, Nordic Bioscience, Albireo, Prosciento, Surrozen and Bristol Myers Squibb. His institution has received grant support from Gilead, Salix, Tobira, Bristol Myers, Shire, Intercept, Merck, Astra Zeneca, Malinckrodt, Cumberland and Norvatis. He receives royalties from Elsevier and UptoDate. M.N. has been on the advisory board/consultant for 89BIO, Altimmune, Gilead, cohBar, Cytodyn, Intercept, Pfizer, Novo Nordisk, Blade, EchoSens, Fractyl, Madrgial, NorthSea, Prespecturm, Terns, Siemens and Roche diagnostic; Dr Noureddin has received research support from Allergan, BMS, Gilead, Galmed, Galectin, Genfit, Conatus, Enanta, Madrigal, Novartis, Pfizer, Shire, Viking and Zydus; He is a shareholder or has stocks in Anaetos, Chrownwell, Ciema, Rivus Pharma and Viking. All other authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Supplementary Fig. 3: Number of Individuals in 2017–2018 NHANES with MASLD
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Fu, C.E., Teng, M., Tung, D. et al. Sex and Race-Ethnic Disparities in Metabolic Dysfunction-Associated Steatotic Liver Disease: An Analysis of 40,166 Individuals. Dig Dis Sci (2024). https://doi.org/10.1007/s10620-024-08540-4
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DOI: https://doi.org/10.1007/s10620-024-08540-4