Non-invasive model predicting clinically-significant portal hypertension in patients with advanced fibrosis
Background and Aims: Hepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and death. In the present study, the primary objectives were to determine the diagnostic accuracy of the model developed by using readily‐availabl...
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Published in | Journal of gastroenterology and hepatology Vol. 24; no. 7; pp. 1289 - 1293 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Melbourne, Australia
Blackwell Publishing Asia
01.07.2009
Wiley-Blackwell |
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Abstract | Background and Aims: Hepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and death. In the present study, the primary objectives were to determine the diagnostic accuracy of the model developed by using readily‐available data in predicting the presence of significant portal hypertension and esophageal varices.
Methods: This study included a total of 61 consecutive treatment‐naive patients with advanced fibrosis (METAVIR F3, F4), established by liver biopsy. All patients underwent subsequent HVPG measurement and upper gastrointestinal endoscopy within 1 week of liver biopsy.
Results: Seventeen patients (F3, 2/26; F4, 15/35) had clinically‐significant portal hypertension (HVPG ≥ 10 mmHg). The Risk Score for predicting significant portal hypertension was 14.2 − 7.1 × log10 (platelet [109/L]) + 4.2 × log10 (bilirubin [mg/dL]). The area under the receiver–operator curve (AUC) curve was 0.91 (95% confidence interval [CI], 0.84–0.98). The optimized cut‐off value (Risk Score = −1.0) offered a sensitivity of 88% (95% CI, 62–98%) and a specificity of 86% (95% CI, 72–94%). The AUC of the Risk Score in predicting varices was 0.82 (95% CI, 0.67–0.98). The cut‐off had a sensitivity of 82% (95% CI, 48–97%) and a specificity of 76% (95% CI, 62–86%).
Conclusion: A predictive model that uses readily‐available laboratory results may reliably identify advanced fibrosis patients with clinically‐significant portal hypertension as well as esophageal varices. However, before accepted, the results of the current study certainly should be validated in larger prospective cohorts. |
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AbstractList | BACKGROUND AND AIMSHepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and death. In the present study, the primary objectives were to determine the diagnostic accuracy of the model developed by using readily-available data in predicting the presence of significant portal hypertension and esophageal varices.METHODSThis study included a total of 61 consecutive treatment-naive patients with advanced fibrosis (METAVIR F3, F4), established by liver biopsy. All patients underwent subsequent HVPG measurement and upper gastrointestinal endoscopy within 1 week of liver biopsy.RESULTSSeventeen patients (F3, 2/26; F4, 15/35) had clinically-significant portal hypertension (HVPG > or = 10 mmHg). The Risk Score for predicting significant portal hypertension was 14.2 - 7.1 x log(10) (platelet [10(9)/L]) + 4.2 x log(10) (bilirubin [mg/dL]). The area under the receiver-operator curve (AUC) curve was 0.91 (95% confidence interval [CI], 0.84-0.98). The optimized cut-off value (Risk Score = -1.0) offered a sensitivity of 88% (95% CI, 62-98%) and a specificity of 86% (95% CI, 72-94%). The AUC of the Risk Score in predicting varices was 0.82 (95% CI, 0.67-0.98). The cut-off had a sensitivity of 82% (95% CI, 48-97%) and a specificity of 76% (95% CI, 62-86%).CONCLUSIONA predictive model that uses readily-available laboratory results may reliably identify advanced fibrosis patients with clinically-significant portal hypertension as well as esophageal varices. However, before accepted, the results of the current study certainly should be validated in larger prospective cohorts. Background and Aims: Hepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and death. In the present study, the primary objectives were to determine the diagnostic accuracy of the model developed by using readily‐available data in predicting the presence of significant portal hypertension and esophageal varices. Methods: This study included a total of 61 consecutive treatment‐naive patients with advanced fibrosis (METAVIR F3, F4), established by liver biopsy. All patients underwent subsequent HVPG measurement and upper gastrointestinal endoscopy within 1 week of liver biopsy. Results: Seventeen patients (F3, 2/26; F4, 15/35) had clinically‐significant portal hypertension (HVPG ≥ 10 mmHg). The Risk Score for predicting significant portal hypertension was 14.2 − 7.1 × log10 (platelet [109/L]) + 4.2 × log10 (bilirubin [mg/dL]). The area under the receiver–operator curve (AUC) curve was 0.91 (95% confidence interval [CI], 0.84–0.98). The optimized cut‐off value (Risk Score = −1.0) offered a sensitivity of 88% (95% CI, 62–98%) and a specificity of 86% (95% CI, 72–94%). The AUC of the Risk Score in predicting varices was 0.82 (95% CI, 0.67–0.98). The cut‐off had a sensitivity of 82% (95% CI, 48–97%) and a specificity of 76% (95% CI, 62–86%). Conclusion: A predictive model that uses readily‐available laboratory results may reliably identify advanced fibrosis patients with clinically‐significant portal hypertension as well as esophageal varices. However, before accepted, the results of the current study certainly should be validated in larger prospective cohorts. Hepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and death. In the present study, the primary objectives were to determine the diagnostic accuracy of the model developed by using readily-available data in predicting the presence of significant portal hypertension and esophageal varices. This study included a total of 61 consecutive treatment-naive patients with advanced fibrosis (METAVIR F3, F4), established by liver biopsy. All patients underwent subsequent HVPG measurement and upper gastrointestinal endoscopy within 1 week of liver biopsy. Seventeen patients (F3, 2/26; F4, 15/35) had clinically-significant portal hypertension (HVPG > or = 10 mmHg). The Risk Score for predicting significant portal hypertension was 14.2 - 7.1 x log(10) (platelet [10(9)/L]) + 4.2 x log(10) (bilirubin [mg/dL]). The area under the receiver-operator curve (AUC) curve was 0.91 (95% confidence interval [CI], 0.84-0.98). The optimized cut-off value (Risk Score = -1.0) offered a sensitivity of 88% (95% CI, 62-98%) and a specificity of 86% (95% CI, 72-94%). The AUC of the Risk Score in predicting varices was 0.82 (95% CI, 0.67-0.98). The cut-off had a sensitivity of 82% (95% CI, 48-97%) and a specificity of 76% (95% CI, 62-86%). A predictive model that uses readily-available laboratory results may reliably identify advanced fibrosis patients with clinically-significant portal hypertension as well as esophageal varices. However, before accepted, the results of the current study certainly should be validated in larger prospective cohorts. Abstract Background and Aims: Hepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and death. In the present study, the primary objectives were to determine the diagnostic accuracy of the model developed by using readily‐available data in predicting the presence of significant portal hypertension and esophageal varices. Methods: This study included a total of 61 consecutive treatment‐naive patients with advanced fibrosis (METAVIR F3, F4), established by liver biopsy. All patients underwent subsequent HVPG measurement and upper gastrointestinal endoscopy within 1 week of liver biopsy. Results: Seventeen patients (F3, 2/26; F4, 15/35) had clinically‐significant portal hypertension (HVPG ≥ 10 mmHg). The Risk Score for predicting significant portal hypertension was 14.2 − 7.1 × log 10 (platelet [10 9 /L]) + 4.2 × log 10 (bilirubin [mg/dL]). The area under the receiver–operator curve (AUC) curve was 0.91 (95% confidence interval [CI], 0.84–0.98). The optimized cut‐off value (Risk Score = −1.0) offered a sensitivity of 88% (95% CI, 62–98%) and a specificity of 86% (95% CI, 72–94%). The AUC of the Risk Score in predicting varices was 0.82 (95% CI, 0.67–0.98). The cut‐off had a sensitivity of 82% (95% CI, 48–97%) and a specificity of 76% (95% CI, 62–86%). Conclusion: A predictive model that uses readily‐available laboratory results may reliably identify advanced fibrosis patients with clinically‐significant portal hypertension as well as esophageal varices. However, before accepted, the results of the current study certainly should be validated in larger prospective cohorts. |
Author | Kim, Jin Bong Baik, Gwang Ho Kim, Dong Joon Park, Seung Ha Kim, Young Mook Park, Tae Eun Kim, Sung Jung |
Author_xml | – sequence: 1 givenname: Seung Ha surname: Park fullname: Park, Seung Ha organization: Center for Liver and Digestive Diseases, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea – sequence: 2 givenname: Tae Eun surname: Park fullname: Park, Tae Eun organization: Center for Liver and Digestive Diseases, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea – sequence: 3 givenname: Young Mook surname: Kim fullname: Kim, Young Mook organization: Center for Liver and Digestive Diseases, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea – sequence: 4 givenname: Sung Jung surname: Kim fullname: Kim, Sung Jung organization: Center for Liver and Digestive Diseases, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea – sequence: 5 givenname: Gwang Ho surname: Baik fullname: Baik, Gwang Ho organization: Center for Liver and Digestive Diseases, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea – sequence: 6 givenname: Jin Bong surname: Kim fullname: Kim, Jin Bong organization: Center for Liver and Digestive Diseases, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea – sequence: 7 givenname: Dong Joon surname: Kim fullname: Kim, Dong Joon organization: Center for Liver and Digestive Diseases, Department of Internal Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea |
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Cites_doi | 10.1002/hep.21731 10.1002/hep.21907 10.1056/NEJM197810262991705 10.1016/j.jhep.2005.10.013 10.1002/hep.21665 10.1111/j.1440-1746.2006.04501.x 10.1002/hep.22273 10.1136/gut.52.8.1200 10.1097/00004836-200201000-00003 10.1097/00042737-200604000-00015 10.1111/j.1478-3231.2005.01227.x 10.1016/S0140-6736(95)91740-3 10.1002/hep.20062 10.1046/j.1440-1746.1999.01949.x 10.1016/j.jhep.2005.05.009 10.1097/00004836-200201000-00016 10.1002/lt.20857 |
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Keywords | Human hepatic venous pressure gradient Portal circulation disease Liver Esophageal varices Cardiovascular disease Pressure gradient Vascular disease Fibrosis Gastroenterology Portal hypertension Digestive diseases Models Venous pressure |
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Snippet | Background and Aims: Hepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and... Hepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and death. In the present... Abstract Background and Aims: Hepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical... BACKGROUND AND AIMSHepatic venous pressure gradient (HVPG) has been established as a predictor for the development of varices, clinical decompensation and... |
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SubjectTerms | Adolescent Adult Aged Bilirubin - blood Biological and medical sciences Biomarkers - blood Biopsy Disease Progression Endoscopy, Gastrointestinal Esophageal and Gastric Varices - blood Esophageal and Gastric Varices - diagnosis Esophageal and Gastric Varices - etiology Esophageal and Gastric Varices - physiopathology esophageal varices Female Gastroenterology. Liver. Pancreas. Abdomen hepatic venous pressure gradient Humans Hypertension, Portal - blood Hypertension, Portal - diagnosis Hypertension, Portal - etiology Hypertension, Portal - physiopathology Liver Cirrhosis - blood Liver Cirrhosis - complications Liver Cirrhosis - diagnosis Liver Cirrhosis - physiopathology Liver. Biliary tract. Portal circulation. Exocrine pancreas Male Medical sciences Middle Aged Models, Biological Other diseases. Semiology Platelet Count portal hypertension Predictive Value of Tests Risk Assessment Risk Factors ROC Curve Sensitivity and Specificity Venous Pressure Young Adult |
Title | Non-invasive model predicting clinically-significant portal hypertension in patients with advanced fibrosis |
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