Home/Cardiology CME/CE Webinar/MASH and Hepatic Fibrosis: Intersecting Metabolic Pathways

MASH and Hepatic Fibrosis: Intersecting Metabolic Pathways

Cardiology CME/CE Webinar
proCardio Asia Pacific

Key Takeaways

  • MASLD affects approximately 30% of the global population, driven by obesity, diabetes, and sedentary lifestyles, with prevalence continuing to rise. [1]
  • MASH represents the progressive, inflammatory, and fibrotic form of MASLD and is associated with significantly higher morbidity and mortality.[1]
  • In patients with MASLD/MASH, the leading cause of death is cardiovascular disease, not liver-related complications. [1,2]
  • The fibrosis stage is the strongest determinant of long-term outcomes, including cardiovascular mortality. [3,4]
  • Non-invasive fibrosis tools (FIB-4, APRI, Pro-C3–based algorithms such as ADAPT) enable scalable risk stratification and reduce reliance on liver biopsy or FibroScan. [5,6]
  • Early identification of advanced fibrosis enables targeted referral, multidisciplinary care, and intervention, rather than reactive management at a later stage.

This section presents a concise, high-yield summary of the video’s core content, designed as a quick reference for Healthcare Professionals (HCPs).

Note: This content was developed by our editorial team based on the session transcript and slide material and was not reviewed or endorsed by the speaker.


Q&A

Q1. What is MASLD, and how does MASH fit within this disease spectrum?

MASLD (metabolic dysfunction–associated steatotic liver disease) refers to hepatic fat accumulation in the presence of cardiometabolic risk factors such as diabetes, hypertension, dyslipidaemia, or central obesity. MASH represents the more severe and progressive end of this spectrum, characterised by hepatic inflammation and fibrosis. The updated MASLD framework simplifies diagnosis by requiring the presence of steatosis plus at least one cardiometabolic risk factor, reflecting real-world clinical practice. [1]

Q2. How common is MASLD/MASH, and which populations are most affected?

MASLD affects around 65% of adults globally, with increasing prevalence due to rising rates of obesity, diabetes, and sedentary behaviour. [7] 

Both urban and rural populations are affected, and disease onset is occurring at younger ages. Importantly, MASLD is also seen in lean individuals, highlighting that normal body weight does not exclude risk. [8,9,10] 

Q3. Why is MASLD/MASH particularly relevant to cardiology practice?

MASLD/MASH is strongly associated with cardiovascular disease. Patients have a 1.5x increased risk of heart failure, atrial fibrillation, and cardiovascular mortality. Across disease stages, cardiovascular events remain the most common cause of death, exceeding liver-related outcomes such as cirrhosis or hepatocellular carcinoma.[2,3]

Q4. Why is fibrosis considered the key prognostic marker in MASLD/MASH?

The fibrosis stage is the strongest predictor of both liver-related and non-liver-related outcomes. As fibrosis advances, the risk of cardiovascular events and all-cause mortality increases substantially. Steatosis and inflammation alone are less predictive of long-term risk, underscoring the importance of fibrosis assessment in disease management.[11,12] 

Q5. What challenges exist in current approaches to diagnosing liver fibrosis?

Routine liver enzymes lack sensitivity, and ultrasound detects steatosis only when fat accumulation is advanced. Liver biopsy, while diagnostic, is invasive and impractical for large-scale screening. FibroScan and other imaging tools face logistical and access barriers, limiting their routine use in many settings.[5] 

Q6. How can non-invasive tests be used to identify patients with advanced fibrosis?

Simple blood-based scores such as FIB-4 and APRI are useful first-line tools due to their high sensitivity. However, many patients fall into indeterminate risk categories. Newer algorithms, such as ADAPT, which combine Pro-C3 with age, diabetes status, and platelet count, improve specificity and help identify patients with advanced fibrosis while reducing unnecessary referrals and imaging.[6] 

Q7. What is the rationale for a stepwise screening strategy in MASLD/MASH?

A stepwise approach enables broad, low-cost screening with sensitive tools, followed by more specific tests in patients at higher risk or with indeterminate results. This strategy allows for early identification of clinically meaningful fibrosis while minimising over-investigation and healthcare burden. [12,13]

Q8. What are the core management principles for patients with MASLD/MASH?

Lifestyle modification remains foundational. A 5–10% weight loss is associated with improvements in steatosis, inflammation, and early fibrosis. Pharmacological options are emerging, including agents targeting metabolic dysfunction and fibrosis, alongside established therapies such as statins and diabetes treatments. Management should be individualised and multidisciplinary. [14,15,16,17]

References

  1. Li J, Zou B, Yeo YH, Feng Y, Xie X, Lee DH, Fujii H, Wu Y, Kam LY, Ji F, Li X, Chien N, Wei M, Ogawa E, Zhao C, Wu X, Stave CD, Henry L, Barnett S, Takahashi H, Furusyo N, Eguchi Y, Hsu YC, Lee TY, Ren W, Qin C, Jun DW, Toyoda H, Wong VW, Cheung R, Zhu Q, Nguyen MH. Prevalence, incidence, and outcome of non-alcoholic fatty liver disease in Asia, 1999-2019: a systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2019 May;4(5):389-398. doi: 10.1016/S2468-1253(19)30039-1. Epub 2019 Mar 20. PMID: 30902670. 
  2. Chen VL, Kuppa A, Oliveri A, Chen Y, Ponnandy P, Patel PB, Palmer ND, Speliotes EK. Human genetics of metabolic dysfunction-associated steatotic liver disease: from variants to cause to precision treatment. J Clin Invest. 2025 Apr 1;135(7):e186424. doi: 10.1172/JCI186424. PMID: 40166930; PMCID: PMC11957700. 
  3. Targher G, Valenti L, Byrne CD. Metabolic Dysfunction-Associated Steatotic Liver Disease. N Engl J Med. 2025 Aug 14;393(7):683-698. doi: 10.1056/NEJMra2412865. PMID: 40802944. 
  4. Park H, Cheuk-Fung Yip T, Yoon EL, Lai-Hung Wong G, Lee HS, Wai-Sun Wong V, Che-To Lai J, Jun DW. Impact of cardiometabolic risk factors on hepatic fibrosis and clinical outcomes in MASLD: A population-based multi-cohort study. JHEP Rep. 2025 Mar 7;7(6):101388. doi: 10.1016/j.jhepr.2025.101388. PMID: 40496442; PMCID: PMC12151182. 
  5. Choudhuri G, Shah S, Kulkarni A, Jagtap N, Gaonkar P, Desai A, Adhav C. Non-alcoholic Steatohepatitis in Asians: Current Perspectives and Future Directions. Cureus. 2023 Aug 2;15(8):e42852. doi: 10.7759/cureus.42852. PMID: 37664266; PMCID: PMC10473263.
  6. Daniels SJ, Leeming DJ, Eslam M, Hashem AM, Nielsen MJ, Krag A, Karsdal MA, Grove JI, Neil Guha I, Kawaguchi T, Torimura T, McLeod D, Akiba J, Kaye P, de Boer B, Aithal GP, Adams LA, George J. ADAPT: An Algorithm Incorporating PRO-C3 Accurately Identifies Patients With NAFLD and Advanced Fibrosis. Hepatology. 2019 Mar;69(3):1075-1086. doi: 10.1002/hep.30163. PMID: 30014517. 
  7. Younossi ZM, Golabi P, Price JK, Owrangi S, Gundu-Rao N, Satchi R, Paik JM. The Global Epidemiology of Nonalcoholic Fatty Liver Disease and Nonalcoholic Steatohepatitis Among Patients With Type 2 Diabetes. Clin Gastroenterol Hepatol. 2024 Oct;22(10):1999-2010.e8. doi: 10.1016/j.cgh.2024.03.006. Epub 2024 Mar 21. PMID: 38521116.
  8. Bhargava B, Rao PN, Kulkarni AV, Vishnubhotla R, Pramod N, Anitha CT, Mahadev K. Prevalence of metabolic dysfunction-associated fatty liver disease among information technology employees in India. Sci Rep. 2025 Mar 24;15(1):10124. doi: 10.1038/s41598-025-91482-2. PMID: 40128210; PMCID: PMC11933284. 
  9. AIG Hospitals – Rural Liver Care Initiative Program Data (2023–2024).
  10. Ishido S, Tamaki N, Takahashi Y, Uchihara N, Suzuki K, Tanaka Y, Miyamoto H, Yamada M, Matsumoto H, Nobusawa T, Keitoku T, Takaura K, Tanaka S, Maeyashiki C, Yasui Y, Tsuchiya K, Nakanishi H, Kurosaki M, Izumi N. Risk of cardiovascular disease in lean patients with nonalcoholic fatty liver disease. BMC Gastroenterol. 2023 Jun 17;23(1):211. doi: 10.1186/s12876-023-02848-7. PMID: 37330485; PMCID: PMC10276489.
  11. Vali Y, Lee J, Boursier J, Petta S, Wonders K, Tiniakos D, Bedossa P, Geier A, Francque S, Allison M, Papatheodoridis G, Cortez-Pinto H, Pais R, Dufour JF, Leeming DJ, Harrison SA, Chen Y, Cobbold JF, Pavlides M, Holleboom AG, Yki-Jarvinen H, Crespo J, Karsdal M, Ostroff R, Zafarmand MH, Torstenson R, Duffin K, Yunis C, Brass C, Ekstedt M, Aithal GP, Schattenberg JM, Bugianesi E, Romero-Gomez M, Ratziu V, Anstee QM, Bossuyt PM; Liver Investigation: Testing Marker Utility in Steatohepatitis (LITMUS) consortium investigators. Biomarkers for staging fibrosis and non-alcoholic steatohepatitis in non-alcoholic fatty liver disease (the LITMUS project): a comparative diagnostic accuracy study. Lancet Gastroenterol Hepatol. 2023 Aug;8(8):714-725. doi: 10.1016/S2468-1253(23)00017-1. Epub 2023 Mar 21. PMID: 36958367. 
  12. European Association for the Study of the Liver (EASL); European Association for the Study of Diabetes (EASD); European Association for the Study of Obesity (EASO). EASL-EASD-EASO Clinical Practice Guidelines on the management of metabolic dysfunction-associated steatotic liver disease (MASLD). J Hepatol. 2024 Sep;81(3):492-542. doi: 10.1016/j.jhep.2024.04.031. Epub 2024 Jun 7. PMID: 38851997. 
  13. European Association for the Study of the Liver. EASL Clinical Practice Guidelines on non-invasive tests for evaluation of liver disease severity and prognosis – 2021 update. J Hepatol. 2021 Sep;75(3):659-689. doi: 10.1016/j.jhep.2021.05.025. Epub 2021 Jun 21. PMID: 34166721.
  14. Goh GB, Chow WC, Wang R, Yuan JM, Koh WP. Coffee, alcohol and other beverages in relation to cirrhosis mortality: the Singapore Chinese Health Study. Hepatology. 2014 Aug;60(2):661-9. doi: 10.1002/hep.27054. Epub 2014 Jun 24. PMID: 24753005; PMCID: PMC4110174. 
  15. Vitaglione P, Morisco F, Mazzone G, Amoruso DC, Ribecco MT, Romano A, Fogliano V, Caporaso N, D’Argenio G. Coffee reduces liver damage in a rat model of steatohepatitis: the underlying mechanisms and the role of polyphenols and melanoidins. Hepatology. 2010 Nov;52(5):1652-61. doi: 10.1002/hep.23902. PMID: 21038411. 
  16. Moreno MG, Chávez E, Aldaba-Muruato LR, Segovia J, Vergara P, Tsutsumi V, Shibayama M, Rivera-Espinoza Y, Muriel P. Coffee prevents CCl(4)-induced liver cirrhosis in the rat. Hepatol Int. 2011 Sep;5(3):857-63. doi: 10.1007/s12072-010-9247-6. Epub 2011 Jan 25. PMID: 21484136.
  17. Vilar-Gomez E, Martinez-Perez Y, Calzadilla-Bertot L, Torres-Gonzalez A, Gra-Oramas B, Gonzalez-Fabian L, Friedman SL, Diago M, Romero-Gomez M. Weight Loss Through Lifestyle Modification Significantly Reduces Features of Nonalcoholic Steatohepatitis. Gastroenterology. 2015 Aug;149(2):367-78.e5; quiz e14-5. doi: 10.1053/j.gastro.2015.04.005. Epub 2015 Apr 10. PMID: 25865049.