OR24-01 Characteristics Of Patients With Type 1 Or 2 Diabetes And Non-alcoholic Fatty Liver Disease: A Retrospective Cohort Study
Notice bibliographique
Résumé
Abstract Disclosure: A. Liu: None. S. Brar: None. K. McKenzie: None. M. Beaton: Advisory Board Member; Self; Abbvie, Takeda, Janssen Research & Development Company, Pfizer, Inc., Novo Nordisk. Research Investigator; Self; Abbvie, Novo Nordisk, Takeda, Boehringer Ingelheim, Janssen Research & Development Company, Pfizer, Inc., AstraZeneca. H. Lapier: None. I. Hramiak: None. M. Brahmania: None. T. Spaic: Advisory Board Member; Self; Sanofi. Research Investigator; Self; Novo Nordisk, Lilly USA, LLC. Speaker; Self; Sanofi. K.K. Clemens: None. Background: Non-alcoholic fatty liver disease (NAFLD) ranges from steatosis to non-alcoholic steatohepatitis (NASH) cirrhosis, which is the second leading cause of liver transplant in the United States. Though the association between T2D and NAFLD is well-known, there is a paucity of data on patients with T1D who live with this condition. We aimed to describe the characteristics of adult patients with NAFLD and T1D. Methods: We conducted a retrospective cohort study of patients 18 years old at a single academic center with gastroenterologist diagnosed NAFLD and T1D between 2010 and 2022. As a comparator, we also included adults with T2D and NAFLD. We used descriptive statistics to summarize their characteristics and compared data between groups. Results: There were 11 patients with T1D and NAFLD (54% female, mean age 37±12 years) and 166 with T2D and NAFLD (57% female, mean age 64±11 years). Mean diabetes duration before NAFLD diagnosis was 16.6±13 years in T1D and 16.6 ±8 years in T2D patients. The most common comorbidities were dyslipidemia (T1D=73%, T2D=79%) and hypertension (T1D=55%, T2D=78%). None with T1D had macrovascular complications. In those with T2D, 36 (22%) had macrovascular complications. Microvascular complications were present in 6 (55%) with T1D and in 83 (50%) T2D patients. At the time of their NAFLD diagnosis, mean BMI of those with T1D was 31.7±5.8 kg/m2 vs 35.8±10 kg/m2 in T2D patients. Mean HbA1c was 9.1±1.7% vs 7±1.2% in T1D and T2D patients respectively. In patients with T1D vs T2D, respective mean triglycerides were 3.7±4.7 vs 2±1.0 (</=1.7) mmol/L, LDL 2.6±0.9 vs 2±0.9 (</=2.0) mmol/L, and HDL 1.1±0.4 vs 1.2±0.4 (</=1.3) mmol/L. In patients with T1D and T2D, liver enzymes were on average elevated with respective ALT 49.5±58.1 and 46.3±40.2 (</=33) U/L, AST 42.3±49.4 SD and 41.6±28.8 (</=32) U/L, ALP 115.1±39.9 and 92.9±42.3 (35-104) U/L. One patient with T1D (9%) and 78 (47%) patients with T2D developed cirrhosis. Conclusion: Patients with T1D and T2D with NAFLD appeared to develop disease at similar diabetes duration. Relative to those with T2D, patients with T1D had suboptimal glycemic control. Patients with T1D and T2D demonstrated metabolic syndrome with obesity, high triglycerides and low HDL. None of the patients with T1D had macrovascular complications, however microvascular complications were present in approximately half of patients with T1D and T2D. We have demonstrated that NAFLD is present in patients with T1D who may have features of metabolic syndrome and suboptimal glycemic control. Further studies are needed to explore the characteristics of patients with T1D who are at risk of developing NAFLD. Presentation: Saturday, June 17, 2023
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».