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Development of a novel diagnostic algorithm to predict NASH in HCV-positive patients
Andrea Gallotta1, Laura Paneghetti1, Viera Mrázová2
11 Xeptagen S.p.A. - Italy.
The International Journal of Biological Markers
|May 2, 2018
Summary
Detecting non-alcoholic steato-hepatitis (NASH) in hepatitis C virus patients is crucial. A new algorithm combining squamous cell carcinoma antigen-immunoglobulin-M (SCCA-IgM) with clinical data shows promise for early NASH diagnosis.
Area of Science:
- Hepatology
- Biomarker Discovery
- Diagnostic Development
Background:
- Non-alcoholic steato-hepatitis (NASH) is a severe liver disease linked to inflammation, fibrosis, cirrhosis, and cancer.
- In hepatitis C virus (HCV) patients, steatosis and NASH accelerate fibrosis and hepatocellular carcinoma development.
- Current diagnostic methods for early NASH detection are insufficient, necessitating non-invasive approaches.
Purpose of the Study:
- To develop and validate a non-invasive diagnostic method for early detection of NASH in HCV-positive patients.
- To identify clinical and serological markers associated with NASH in HCV patients.
- To create and assess algorithms combining multiple markers for improved NASH diagnostic accuracy.
Main Methods:
- Prospective enrollment of 91 HCV-positive patients with chronic liver disease.
- Histological confirmation of NASH in a subset of 77 patients (10 with NASH).
- Collection of clinical and serological data, including squamous cell carcinoma antigen-immunoglobulin-M (SCCA-IgM), insulin, HOMA, hemoglobin, HDL, and ferritin.
- Development of logistic regression algorithms combining SCCA-IgM with other variables to predict NASH probability.
Main Results:
- Statistically significant correlations found between histological NASH and SCCA-IgM, insulin, HOMA, hemoglobin, HDL, ferritin, and smoking status.
- Multi-variable algorithms demonstrated higher accuracy in identifying NASH compared to single markers.
- The logistic regression model incorporating all seven correlated variables achieved the best diagnostic performance.
Conclusions:
- The combination of SCCA-IgM with common clinical data offers promising diagnostic performance for NASH detection in HCV patients.
- This multi-marker approach could lead to a reliable non-invasive method for early NASH diagnosis.
- Further validation is warranted to establish this algorithm in clinical practice for improved patient outcomes.
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