1472-P: Clinical Profile of Nonalcoholic Fatty Liver Disease in Adults with Type 2 Diabetes Mellitus
Bibliographic record
Abstract
Nonalcoholic fatty liver disease (NAFLD), including its severe form known as steatohepatitis or NASH, are increasingly common in patients with type 2 diabetes mellitus (T2DM) and can progress to cirrhosis. However, there is limited information on their comorbid medical conditions in “real world” practice. Thus, the disease characteristics of patients with NASH or NASH-cirrhosis (cirrhosis), with or without T2DM, was evaluated in TARGET-NASH, an ongoing longitudinal observational study of patients with NAFLD, who are managed according to local standards at 60 community and academic hepatology and endocrinology practices in the United States. Among 3085 patients enrolled with NASH or cirrhosis, 1645 had NASH (47% T2DM) and 1440 had cirrhosis (72% T2DM). Patients with T2DM were older (median 61 vs. 56 years) and had a higher median BMI (34.0 vs. 32.0 kg/m2, p<0.001) than participants without T2DM. The prevalence of hypertension (88 vs. 62%), dyslipidemia (78 vs. 56%), cardiovascular diseases (CVD) or event (27 vs. 15%) and any cancer (21 vs. 16%) was higher in patients with vs. without T2DM (all p<0.001). Median alanine aminotransferase in patients with T2DM was lower than in those without diabetes (35 vs. 39 IU/L, p<0.001). Among those with a liver biopsy, having T2DM was associated with a higher prevalence of advanced fibrosis (57% vs. 34%), including cirrhosis (36% vs. 19% in NonT2DM; all p<0.001). Using a logistic regression model, presence of T2DM, hypertension, age, sex, cancer, CVD or event, hyperlipidemia and race were all predictors of developing cirrhosis (all p<0.05). In conclusion, patients with type 2 diabetes and NASH or cirrhosis had more advanced liver disease compared to those without type 2 diabetes. Patients with type 2 diabetes had more than twice the risk of cirrhosis compared to those without type 2 diabetes. These results support a strong link of type 2 diabetes and metabolic risk factors with advanced NASH. Disclosure K. Cusi: Consultant; Self; Allergan plc., AstraZeneca, Bristol-Myers Squibb, Genentech, Inc., Gilead Sciences, Inc., Merck & Co., Inc. Research Support; Self; Cirius Therapeutics, Echosens, Eli Lilly and Company, Inventiva Pharma, Janssen Pharmaceuticals, Inc., Novartis Pharmaceuticals Corporation, Novo Nordisk Inc., Poxel SA, Zydus Pharmaceuticals, Inc. M. Roden: Advisory Panel; Self; Servier. Board Member; Self; Poxel SA. Consultant; Self; Eli Lilly and Company, Gilead Sciences, Inc., ProSciento, TARGET PharmaSolutions. Research Support; Self; Boehringer Ingelheim International GmbH, Novartis Pharma K.K., Sanofi US. Speaker’s Bureau; Self; Novo Nordisk A/S. A.S. Barritt: Consultant; Self; GENFIT, Intercept Pharmaceuticals, Inc., TARGET PharmaSolutions. R.J. Firpi: None. V. Clark: Research Support; Self; GENFIT, Intercept Pharmaceuticals, Inc., Novo Nordisk Inc. S. Klein: Advisory Panel; Self; Danone Nutricia, Merck & Co., Inc. Research Support; Self; Johnson & Johnson, Pfizer Inc. Stock/Shareholder; Self; Aspire Bariatrics. A. Lok: None. P. Newsome: Research Support; Self; Novo Nordisk A/S. K. Corbin: None. M.B. Vos: Advisory Panel; Self; TARGET PharmaSolutions. Consultant; Self; Boehringer Ingelheim (Canada) Ltd., Immuron, Intercept Pharmaceuticals, Inc., Mallinckrodt Pharmaceuticals, Novo Nordisk A/S. Research Support; Self; Bristol Myers Squibb. R. Reddy: Advisory Panel; Self; Ambys, Epigenomics AG, Mallinckrodt Pharmaceuticals, Merck & Co., Inc. Research Support; Self; Conatus Pharmaceuticals, Exact Sciences, Gilead Sciences, Inc., Intercept Pharmaceuticals, Inc., Mallinckrodt Pharmaceuticals, Merck & Co., Inc. C. Schoen: None. A.R. Mospan: Employee; Self; TARGET PharmaSolutions. J.L. Taunk: None. K. Wyne: Advisory Panel; Self; Novo Nordisk Inc. Research Support; Self; Sanofi. B. Neuschwander-Tetri: Advisory Panel; Self; 89Bio, Allysta, ARTham, Blade, Bristol-Myers Squibb, Gelesis, GENFIT, Histoindex, Madrigal Pharmaceuticals, Inc., Medpace, Merck & Co., Inc., Sagimet, Siemens Corporation. Consultant; Self; Arrowhead Pharmaceuticals, Inc., Axcella, DURECT Corporation, Enanta Pharmaceuticals, Inc., Fortress, Indalo, Innovo, Lipocine, Mundipharma International, pH-Pharma, TARGET PharmaSolutions. A. Sanyal: Consultant; Self; Intercept Pharmaceuticals, Inc., Lilly Diabetes, Merck & Co., Inc., Novartis Pharmaceuticals Corporation, Novo Nordisk A/S, Pfizer Inc. Stock/Shareholder; Self; DURECT Corporation, GENFIT, HemoShear, Sanyal Bio, Tiziana Life Sciences plc. Funding TARGET-NASH
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".