| Autor: |
Calapod OP; Department of Gastroenterology, 'Carol Davila' University of Medicine and Pharmacy, 050474 Bucharest, Romania., Marin AM; Department of Gastroenterology, 'Carol Davila' University of Medicine and Pharmacy, 050474 Bucharest, Romania., Pantea Stoian A; Department of Diabetes, Nutrition and Metabolic Diseases, 'Carol Davila' University of Medicine and Pharmacy, 050474 Bucharest, Romania.; 'Prof. Dr. N. C. Paulescu' National Institute of Diabetes, Nutrition and Metabolic Diseases, 030167 Bucharest, Romania., Fierbinteanu-Braticevici C; Department of Gastroenterology, 'Carol Davila' University of Medicine and Pharmacy, 050474 Bucharest, Romania.; Emergency University Hospital of Bucharest, 050098 Bucharest, Romania. |
| Jazyk: |
angličtina |
| Zdroj: |
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2022 Jul 29; Vol. 12 (8). Date of Electronic Publication: 2022 Jul 29. |
| DOI: |
10.3390/diagnostics12081829 |
| Abstrakt: |
Background and Objectives: Non-alcoholic fatty liver disease (NAFLD)-related severe liver fibrosis is associated with a higher risk of progressing to decompensated cirrhosis and hepatic failure and developing NAFLD-related hepatocellular carcinoma (HCC), particularly in populations with diabetes. Our pilot study aims to evaluate the performances of various noninvasive methods in predicting liver fibrosis in a population of patients with diabetes and to establish a new scoring system for the prediction of severe fibrosis (>F3). Materials and Methods: A total of 175 patients with diabetes were enrolled for liver fibrosis evaluation. Using the degree of agreement (concordance) between a noninvasive score based on serum biomarkers (NAFLD fibrosis score) and point shear-wave elastography (pSWE) as the reference method, we generated receiver operating characteristic (ROC) curves and performed a multivariate analysis to predict severe liver fibrosis. Results: In our population of patients with diabetes, gamma-glutamyltransferase (GGT), age, body mass index (BMI), the homeostatic model assessment of insulin resistance (HOMA-IR), and glycosylated hemoglobin (HbA1C) were significant predictors for the diagnosis of the F3/F4 group (area under the ROC: 0.767, 0.743, 0.757, 0.772, and 0.7, respectively; p < 0.005 for all). Moreover, the combined composite score (the sum of GGT, age, BMI, HOMA index, and HbA1C) had the highest diagnostic performance at a cut-off value of 3 (AUROC—0.899; p < 0001). The sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV) were 91.20%, 79%, 79%, and 89%, respectively, and 89% of patients were correctly classified as having severe liver fibrosis. In contrast with the Fibrosis 4 (FIB-4) score and the AST-to-platelet ratio index (APRI), the composite score had the best accuracy in discriminating advanced fibrosis. Conclusions: The proposed composite score had a reliable and acceptable diagnostic accuracy in identifying patients with diabetes at risk of having severe fibrosis using readily available laboratory and clinical data. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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