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Invasive Hemodynamic Characterization of the Portal-hypertensive Syndrome in Cirrhotic Rats
09:37

Invasive Hemodynamic Characterization of the Portal-hypertensive Syndrome in Cirrhotic Rats

Published on: August 1, 2018

Histological-hemodynamic correlation in cirrhosis-a histological classification of the severity of cirrhosis

Satish Nagula1, Dhanpat Jain, Roberto J Groszmann

  • 1Section of Digestive Diseases, Department of Internal Medicine, Yale University School of Medicine, 333 Cedar Street, New Haven, CT 06520, USA.

Journal of Hepatology
|November 9, 2005
PubMed

Insights

Histological features like nodule size and septal thickness predict clinically significant portal hypertension (CSPH) in cirrhosis. Small nodules and thick septa are independent predictors of CSPH, aiding in subclassification.

Area of Science:

  • Hepatology
  • Gastroenterology
  • Pathology

Background:

  • Histological diagnosis is definitive for cirrhosis.
  • Hepatic venous pressure gradient (HVPG) quantifies portal hypertension severity.
  • Clinically significant portal hypertension (CSPH), defined as HVPG ≥10 mmHg, predicts cirrhosis complications and mortality.

Purpose of the Study:

  • To investigate the correlation between specific histological parameters and HVPG in cirrhosis patients.
  • To identify histological features that predict the presence of CSPH.

Main Methods:

  • Included 43 patients with biopsy-proven cirrhosis and HVPG measurements within 6 months.
  • Semiquantitatively scored histological parameters: sinusoidal fibrosis, septal thickness, nodule size, inflammation, steatosis, and iron.
  • Histological scoring was performed blinded to HVPG results.

Main Results:

  • Septal thickness, small nodularity, loss of portal tracts, inflammation, and alcoholic etiology correlated with CSPH.
  • Small nodularity and septal thickness emerged as independent predictors of CSPH (r=0.658, p<0.05).

Conclusions:

  • A histological subclassification of cirrhosis based on portal hypertension severity is proposed.
  • Nodule size and septal thickness are key parameters for this subclassification.
  • Small nodularity and thick septa independently predict CSPH, offering prognostic value.
Abstract

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