Type 2 diabetes, hepatic decompensation, and hepatocellular carcinoma in patients with non-alcoholic fatty liver disease: an individual participant-level data meta-analysis DOI Creative Commons
Daniel Q. Huang, Nabil Noureddin, Veeral Ajmera

et al.

˜The œLancet. Gastroenterology & hepatology, Journal Year: 2023, Volume and Issue: 8(9), P. 829 - 836

Published: July 4, 2023

Summary

Background

Data are scarce regarding the development of hepatic decompensation in patients with non-alcoholic fatty liver disease (NAFLD) and without type 2 diabetes. We aimed to assess risk people NAFLD

Methods

did a meta-analysis individual participant-level data from six cohorts USA, Japan, Turkey. Included participants had magnetic resonance elastography between Feb 27, 2007, June 4, 2021. Eligible studies included those fibrosis characterisation by elastography, longitudinal assessment for death, adult (aged ≥18 years) NAFLD, whom were available presence diabetes at baseline. The primary outcome was decompensation, defined as ascites, encephalopathy, or variceal bleeding. secondary hepatocellular carcinoma. used competing regression using Fine Gray subdistribution hazard ratio (sHR) compare likelihood Death event.

Findings

2016 (736 diabetes; 1280 diabetes) this analysis. 1074 (53%) female mean age 57·8 years (SD 14·2) BMI 31·3 kg/m2 7·4). Among 1737 (602 1135 data, 105 developed over median follow-up time 2·8 (IQR 1·4–5·5). Participants significantly higher 1 year (3·37% [95% CI 2·10–5·11] vs 1·07% [0·57–1·86]), 3 (7·49% [5·36–10·08] 2·92% [1·92–4·25]), 5 (13·85% [10·43–17·75] 3·95% [2·67–5·60]) than (p<0·0001). After adjustment multiple confounders (age, BMI, race), (sHR 2·15 1·39–3·34]; p=0·0006) glycated haemoglobin (1·31 1·10–1·55]; p=0·0019) independent predictors decompensation. association remained consistent after baseline stiffness determined elastography. Over 2·9 1·4–5·7), 22 1802 analysed (18 639 four 1163 incident carcinoma (1·34% 0·64–2·54] 0·09% [0·01–0·50], (2·44% [1·36–4·05] 0·21% [0·04–0·73]), (3·68% [2·18–5·77] 0·44% [0·11–1·33]) Type an predictor 5·34 [1·67–17·09]; p=0·0048).

Interpretation

is associated

Funding

National Institute Diabetes Digestive Kidney Diseases.

Language: Английский

Metabolic dysfunction-associated steatotic liver disease and risk of cardiovascular disease DOI
Hyeok‐Hee Lee, Han Ah Lee,

Eun-Jin Kim

et al.

Gut, Journal Year: 2023, Volume and Issue: unknown, P. gutjnl - 331003

Published: Oct. 31, 2023

Objective We explored clinical implications of the new definition metabolic dysfunction-associated steatotic liver disease (MASLD) by assessing its prevalence and associated cardiovascular (CVD) risk. Design From nationwide health screening data, we identified 9 775 066 adults aged 20–79 who underwent examination in 2009. Participants were categorised into four mutually exclusive groups: (1) MASLD; (2) MASLD with increased alcohol intake (MetALD); (3) other combined aetiology (the three collectively referred to as MASLD/related (SLD)); (4) no SLD. SLD was determined fatty index ≥30. The primary outcome CVD event, defined a composite myocardial infarction, ischaemic stroke, heart failure or death. Results MASLD, MetALD 27.5%, 4.4% 1.5%, respectively. A total 8 808 494 participants without prior followed up for median 12.3 years, during which 272 863 events occurred. cumulative incidence multivariable-adjusted risk higher than those (HR 1.38 (95% CI 1.37 1.39)). Multivariable-adjusted HR CI) 1.39 (1.38 1.40) 1.28 (1.26 1.30) 1.30 1.34) compared absence any these conditions. also non-alcoholic respective condition. Conclusion Over one-third Korean have bear high

Language: Английский

Citations

82

Non-invasive diagnosis and monitoring of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis DOI
Monica A. Tincopa, Rohit Loomba

˜The œLancet. Gastroenterology & hepatology, Journal Year: 2023, Volume and Issue: 8(7), P. 660 - 670

Published: April 13, 2023

Language: Английский

Citations

81

Endocrine aspects of metabolic dysfunction-associated steatotic liver disease (MASLD): Beyond insulin resistance DOI Creative Commons
Alan L. Hutchison, Federica Tavaglione, Stefano Romeo

et al.

Journal of Hepatology, Journal Year: 2023, Volume and Issue: 79(6), P. 1524 - 1541

Published: Sept. 18, 2023

While the links between metabolic dysfunction associated steatotic liver disease (MASLD) and obesity, insulin resistance are widely appreciated, there a host of complex interactions other endocrine axes. it can be difficult to definitively distinguish direct causal relationships those attributable increased adipocyte mass, is substantial evidence indirect specific dysregulation severity MASLD. Strong effects exists for low levels growth hormone, sex hormones, thyroid hormone with development disease. The impact steroid e.g. cortisol dehydropepiandrosterone, adipokines much more divergent. Thoughtful assessment, based on individual risk factors findings, also management non-insulin axes should performed in evaluation Multiple therapeutic pharmaceutical targets have emerged that leverage various reduce fibroinflammatory cascade steatohepatitis (MASH).

Language: Английский

Citations

81

4. Comprehensive Medical Evaluation and Assessment of Comorbidities: Standards of Care in Diabetes—2024 DOI Open Access
Nuha A. ElSayed, Grazia Aleppo, Raveendhara R. Bannuru

et al.

Diabetes Care, Journal Year: 2023, Volume and Issue: 47(Supplement_1), P. S52 - S76

Published: Dec. 11, 2023

The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide components diabetes care, general treatment goals guidelines, tools evaluate quality care. Members ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating Standards annually, or more frequently as warranted. For a detailed description standards, statements, reports, well evidence-grading system full list Committee members, please refer Introduction Methodology. Readers who wish comment on invited do so at professional.diabetes.org/SOC.

Language: Английский

Citations

74

Type 2 diabetes, hepatic decompensation, and hepatocellular carcinoma in patients with non-alcoholic fatty liver disease: an individual participant-level data meta-analysis DOI Creative Commons
Daniel Q. Huang, Nabil Noureddin, Veeral Ajmera

et al.

˜The œLancet. Gastroenterology & hepatology, Journal Year: 2023, Volume and Issue: 8(9), P. 829 - 836

Published: July 4, 2023

Summary

Background

Data are scarce regarding the development of hepatic decompensation in patients with non-alcoholic fatty liver disease (NAFLD) and without type 2 diabetes. We aimed to assess risk people NAFLD

Methods

did a meta-analysis individual participant-level data from six cohorts USA, Japan, Turkey. Included participants had magnetic resonance elastography between Feb 27, 2007, June 4, 2021. Eligible studies included those fibrosis characterisation by elastography, longitudinal assessment for death, adult (aged ≥18 years) NAFLD, whom were available presence diabetes at baseline. The primary outcome was decompensation, defined as ascites, encephalopathy, or variceal bleeding. secondary hepatocellular carcinoma. used competing regression using Fine Gray subdistribution hazard ratio (sHR) compare likelihood Death event.

Findings

2016 (736 diabetes; 1280 diabetes) this analysis. 1074 (53%) female mean age 57·8 years (SD 14·2) BMI 31·3 kg/m2 7·4). Among 1737 (602 1135 data, 105 developed over median follow-up time 2·8 (IQR 1·4–5·5). Participants significantly higher 1 year (3·37% [95% CI 2·10–5·11] vs 1·07% [0·57–1·86]), 3 (7·49% [5·36–10·08] 2·92% [1·92–4·25]), 5 (13·85% [10·43–17·75] 3·95% [2·67–5·60]) than (p<0·0001). After adjustment multiple confounders (age, BMI, race), (sHR 2·15 1·39–3·34]; p=0·0006) glycated haemoglobin (1·31 1·10–1·55]; p=0·0019) independent predictors decompensation. association remained consistent after baseline stiffness determined elastography. Over 2·9 1·4–5·7), 22 1802 analysed (18 639 four 1163 incident carcinoma (1·34% 0·64–2·54] 0·09% [0·01–0·50], (2·44% [1·36–4·05] 0·21% [0·04–0·73]), (3·68% [2·18–5·77] 0·44% [0·11–1·33]) Type an predictor 5·34 [1·67–17·09]; p=0·0048).

Interpretation

is associated

Funding

National Institute Diabetes Digestive Kidney Diseases.

Language: Английский

Citations

69