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Predictive scoring system for advanced liver fibrosis in Japanese patients with severe obesity
- Source :
- Surgery today. 51(9)
- Publication Year :
- 2020
-
Abstract
- The aim of this study was to examine the predictive scoring system of advanced liver fibrosis in severely obese Japanese patients. Seventy-two patients underwent laparoscopic sleeve gastrectomy and intraoperative liver biopsies. We classified these patients into two groups: Brunt stage ≥ 2 (advanced fibrosis) and 0/1 (none/mild fibrosis). A logistic regression analysis was performed to identify the predictors of advanced fibrosis. Sixteen patients had advanced fibrosis, while 56 had no/mild fibrosis. The prevalence of type 2 diabetes mellitus (T2DM) in advanced fibrosis group was significantly higher than in none/mild fibrosis. An univariate analysis of the factors predicting advanced fibrosis showed significant differences in AST/ALT ratio, serum insulin levels, HOMA-IR, and type IV collagen 7S in the T2DM group. According to a multivariate analysis, type IV collagen 7S was an independent predictor and the cutoff value was 5.6 ng/mL. We created a flow chart; high risk (T2DM and type IV collagen 7S ≥ 5.6 ng/mL), moderate risk (T2DM and type IV collagen 7S
- Subjects :
- Collagen Type IV
Liver Cirrhosis
medicine.medical_specialty
Multivariate analysis
Liver fibrosis
Biopsy
Logistic regression
Gastroenterology
Severity of Illness Index
03 medical and health sciences
Type IV collagen
Intraoperative Period
0302 clinical medicine
Asian People
Fibrosis
Surgical oncology
Gastrectomy
Predictive Value of Tests
Internal medicine
medicine
Prevalence
Humans
Obesity
Univariate analysis
business.industry
Type 2 Diabetes Mellitus
General Medicine
medicine.disease
Logistic Models
Diabetes Mellitus, Type 2
Liver
Research Design
030220 oncology & carcinogenesis
030211 gastroenterology & hepatology
Surgery
Laparoscopy
business
Biomarkers
Forecasting
Subjects
Details
- ISSN :
- 14362813
- Volume :
- 51
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Surgery today
- Accession number :
- edsair.doi.dedup.....9d3aa2ac63cbc215b8f2a10d826c3930