metricas
covid
Annals of Hepatology NON-INVASIVE SERUM BIOMARKERS TO PREDICT ADVANCED FIBROSIS IN AUTOIMMUNE HEPATIT...
Journal Information
Vol. 30. Issue S2.
Abstracts of the 2025 Annual Meeting of the ALEH
(September 2025)
Vol. 30. Issue S2.
Abstracts of the 2025 Annual Meeting of the ALEH
(September 2025)
#154
Full text access
NON-INVASIVE SERUM BIOMARKERS TO PREDICT ADVANCED FIBROSIS IN AUTOIMMUNE HEPATITIS IN MEXICAN POPULATION: RPR AND HALP-SCORE
Visits
115
Eulalio Alberto Gutiérrez Rodríguez1, Manuel Alejandro Cornejo Gutiérrez1, Alejandro Tovar Durán1, Julio Alexis Arce Hernández2, Juan José Mendoza Rodríguez3
1 IMSS UMAE 25, México.
2 Hospital Zambrano Hellion. Tecnológico de Monterrey, México.
3 Universidad Autónoma de Coahuila, México.
This item has received
Article information
Abstract
Full Text
Download PDF
Statistics
Figures (1)
Special issue
This article is part of special issue:
Vol. 30. Issue S2

Abstracts of the 2025 Annual Meeting of the ALEH

More info
Introduction and Objectives

Looking for non-invasive and cost-effective models to predict fibrosis in autoimmune hepatitis (HAI), modern scores such as RDW/Platelet ratio (RPR) and the hemoglobin, albumin, lymphocyte, and platelet (HALP) have been studied. These have demonstrated greater accuracy than traditional markers such APRI or FIB-4. These require further study and validation in mexican population.

Materials and Methods

Eighty-one patients histopathological diagnosis of HAI from Hospital de Especialidades IMSS Monterrey, Mexico, were included from January 2022 to December 2024. Fibrosis was assessed using METAVIR system, categorized as F0: absence of fibrosis; F1: portal fibrosis without septa; F2: portal fibrosis with few septa; F3: multiple bridging; and F4: cirrhosis. Grades F3-F4 were considered advanced fibrosis. Biochemical values ​​were obtained 1–20 days prior biopsy. The RPR was calculated RDW [%]/Platelets [109/Liter] and HALP-Score was obtained (Hemoglobin [g/dL] by albumin [g/dL] by lymphocytes [k/uL]/Platelets [109/Liter]. Statistical analyses were performed using SPSS 25.0 (IBM SPSS Statics). Type of study: Analytical, retrospective and observational.

Results

For RPR, an area under the curve (AUC) of 0.628 was obtained with confidence intervals (95%) of 0.461–0.796. The cutoff point, calculated using Youden index, was 0.0617. The sensitivity of the RPR was 87.9%, with a specificity of 26%. The positive likelihood ratio was 1.2 and the negative likelihood ratio was 0.45. The false negative rate was 9.8%. For HALP-Score, an AUC of 0.560 was obtained with confidence intervals (95%) of 0.636–0.600. The cutoff point, calculated using Youden index, was 0.497. The sensitivity of HALP-Score is 62.1%, with a specificity of 38%. The positive likelihood ratio is 1.04 and the negative likelihood ratio is 0.95. The false negative rate is 30.86%.

Conclusions

These models didn't demonstrate statistical significance, and therefore warrant further study for validation as an auxiliary tool in our population.

Full Text

Conflict of interest: None

ROC Curve

Download PDF
Article options
Tools