دورية أكاديمية
Lipid-based insulin-resistance markers predict cardiovascular events in metabolic dysfunction associated steatotic liver disease
| العنوان: | Lipid-based insulin-resistance markers predict cardiovascular events in metabolic dysfunction associated steatotic liver disease |
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| المؤلفون: | Colantoni, Alessandra, Bucci, Tommaso, Cocomello, Nicholas, Angelico, Francesco, Ettorre, Evaristo, Pastori, Daniele, Lip, Gregory Y. H., Del Ben, Maria, Baratta, Francesco |
| المصدر: | Colantoni , A , Bucci , T , Cocomello , N , Angelico , F , Ettorre , E , Pastori , D , Lip , G Y H , Del Ben , M & Baratta , F 2024 , ' Lipid-based insulin-resistance markers predict cardiovascular events in metabolic dysfunction associated steatotic liver disease ' , Cardiovascular Diabetology , vol. 23 , 175 . https://doi.org/10.1186/s12933-024-02263-6Test |
| سنة النشر: | 2024 |
| المجموعة: | Aalborg University (AAU): Publications / Aalborg Universitet: Publikationer |
| مصطلحات موضوعية: | Humans, Insulin Resistance, Male, Middle Aged, Female, Biomarkers/blood, Prospective Studies, Aged, Risk Assessment, Cardiovascular Diseases/diagnosis, Predictive Value of Tests, Prognosis, Adult, Lipid Accumulation Product, Non-alcoholic Fatty Liver Disease/blood, Triglycerides/blood, Blood Glucose/metabolism, Risk Factors, Insulin/blood, Heart Disease Risk Factors, Time Factors |
| الوصف: | BACKGROUND: Insulin resistance (IR) is the cornerstone of Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD), pathophysiologically being the key link between MASLD, metabolic disorders, and cardiovascular (CV) diseases. There are no prospective studies comparing the predictive values of different markers of insulin resistance (IR) in identifying the presence of MASLD and the associated risk of cardiovascular events (CVEs). METHODS: Post hoc analysis of the prospective Plinio Study, involving dysmetabolic patients evaluated for the presence of MASLD. The IR markers considered were Homeostatic Model Assessment for IR (HOMA-IR), Triglycerides-Glycemia (TyG) index, Triglycerides to High-Density Lipoprotein Cholesterol ratio (TG/HDL-C), Lipid Accumulation Product (LAP) and Visceral Adiposity Index (VAI). Receiver operative characteristic (ROC) analyses were performed to find the optimal cut-offs of each IR marker for detecting MASLD and predicting CVEs in MASLD patients. Logistic and Cox multivariable regression analyses were performed, after dichotomizing the IR markers based on the optimal cut-offs, to assess the factors independently associated with MASLD and the risk of CVEs. RESULTS: The study included 772 patients (age 55.6 ± 12.1 years, 39.4% women), of whom 82.8% had MASLD. VAI (Area Under the Curve [AUC] 0.731), TyG Index (AUC 0.723), and TG/HDL-C ratio (AUC: 0.721) predicted MASLD but was greater with HOMA-IR (AUC: 0.792) and LAP (AUC: 0.787). After a median follow-up of 48.7 (25.4-75.8) months, 53 MASLD patients experienced CVEs (1.8%/year). TyG index (AUC: 0.630), LAP (AUC: 0.626), TG/HDL-C (AUC: 0.614), and VAI (AUC: 0.590) demonstrated comparable, modest predictive values in assessing the CVEs risk in MASLD patients. CONCLUSION: In dysmetabolic patients HOMA-IR and LAP showed the best accuracy in detecting MASLD. The possible use of lipid-based IR markers in stratifying the CV risk in patients with MASLD needs further validation in larger cohorts. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://vbn.aau.dk/da/publications/056897b4-4475-4ca7-ae69-40484608e974Test |
| DOI: | 10.1186/s12933-024-02263-6 |
| الإتاحة: | https://doi.org/10.1186/s12933-024-02263-6Test https://vbn.aau.dk/da/publications/056897b4-4475-4ca7-ae69-40484608e974Test https://vbn.aau.dk/ws/files/717211607/Colantoni_et_al._2024_._Lipid-based_insulin-resistance_markers_predict_cardiovascular_events_in_metabolic_dysfunction_associated_steatotic_liver_disease.pdfTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.42EAAB0D |
| قاعدة البيانات: | BASE |
| DOI: | 10.1186/s12933-024-02263-6 |
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