Validation of a multivariate model predicting presence and size of varices

James R Burton1, Suthat Liangpunsakul, Jodi Lapidus

  • 1Division of Gastroenterology and Hepatology, University of Colorado Health Sciences University, Denver, CO 80262, USA. James.Burton@UCHSC.edu

Insights

This study validates that low platelet counts and advanced Child-Pugh class (CPC) predict large esophageal varices in cirrhosis patients. The findings support using these markers to assess varices risk.

Area of Science:

  • Hepatology
  • Gastroenterology
  • Clinical Medicine

Background:

  • A prior model indicated low platelets and advanced Child-Pugh class (CPC) correlate with large esophageal varices.
  • Esophageal varices are a significant complication of cirrhosis.

Purpose of the Study:

  • To validate specific platelet count cut-offs for predicting large varices in Child-Pugh class A (CPC-A) patients and any varices in CPC-B/C patients.
  • To confirm the predictive accuracy of low platelets and advanced CPC for esophageal varices.

Main Methods:

  • Validation of a predictive model using three independent cohorts of cirrhosis patients undergoing screening for esophageal varices.
  • Statistical analysis included sensitivity, specificity, predictive values, likelihood ratios, and c-statistic to assess prediction accuracy.

Main Results:

  • Combined analysis of original and validation cohorts confirmed a negative predictive value of 92.1% for platelets ≤80,000/microL in CPC-A for large varices.
  • A positive predictive value of 80.1% was observed for platelets ≤90,000/microL in CPC-B/C for any varices.
  • The overall c-statistic for the combined cohorts was 0.67, indicating moderate predictive ability. Other factors like splenomegaly and MELD score were not significant predictors.

Conclusions:

  • The study validates the predictive model for esophageal varices using low platelet counts and advanced Child-Pugh class.
  • No additional significant risk factors were identified despite combining multiple cohorts.
Abstract

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