Clinical Prediction Models for Hepatitis B Virus-related Acute-on-chronic Liver Failure : A Technical Report
© 2021 Authors..
BACKGROUND AND AIMS: It is critical but challenging to predict the prognosis of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). This study systematically summarized and evaluated the quality and performance of available clinical prediction models (CPMs).
METHODS: A keyword search of articles on HBV-ACLF CPMs published in PubMed from January 1995 to April 2020 was performed. Both the quality and performance of the CPMs were assessed.
RESULTS: Fifty-two CPMs were identified, of which 31 were HBV-ACLF specific. The modeling data were mostly derived from retrospective (83.87%) and single-center (96.77%) cohorts, with sample sizes ranging from 46 to 1,202. Three-month mortality was the most common endpoint. The Asian Pacific Association for the Study of the Liver consensus (51.92%) and Chinese Medical Association liver failure guidelines (40.38%) were commonly used for HBV-ACLF diagnosis. Serum bilirubin (67.74%), the international normalized ratio (54.84%), and hepatic encephalopathy (51.61%) were the most frequent variables used in models. Model discrimination was commonly evaluated (88.46%), but model calibration was seldom performed. The model for end-stage liver disease score was the most widely used (84.62%); however, varying performance was reported among the studies.
CONCLUSIONS: Substantial limitations lie in the quality of HBV-ACLF-specific CPMs. Disease severity of study populations may impact model performance. The clinical utility of CPMs in predicting short-term prognosis of HBV-ACLF remains to be undefined.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2021 |
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Erschienen: |
2021 |
Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
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Enthalten in: |
Journal of clinical and translational hepatology - 9(2021), 6 vom: 28. Dez., Seite 838-849 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Yu, Xia [VerfasserIn] |
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Links: |
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Themen: |
Acute-on-chronic liver failure |
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Anmerkungen: |
Date Revised 29.04.2022 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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doi: |
10.14218/JCTH.2021.00005 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM335024599 |
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520 | |a BACKGROUND AND AIMS: It is critical but challenging to predict the prognosis of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF). This study systematically summarized and evaluated the quality and performance of available clinical prediction models (CPMs) | ||
520 | |a METHODS: A keyword search of articles on HBV-ACLF CPMs published in PubMed from January 1995 to April 2020 was performed. Both the quality and performance of the CPMs were assessed | ||
520 | |a RESULTS: Fifty-two CPMs were identified, of which 31 were HBV-ACLF specific. The modeling data were mostly derived from retrospective (83.87%) and single-center (96.77%) cohorts, with sample sizes ranging from 46 to 1,202. Three-month mortality was the most common endpoint. The Asian Pacific Association for the Study of the Liver consensus (51.92%) and Chinese Medical Association liver failure guidelines (40.38%) were commonly used for HBV-ACLF diagnosis. Serum bilirubin (67.74%), the international normalized ratio (54.84%), and hepatic encephalopathy (51.61%) were the most frequent variables used in models. Model discrimination was commonly evaluated (88.46%), but model calibration was seldom performed. The model for end-stage liver disease score was the most widely used (84.62%); however, varying performance was reported among the studies | ||
520 | |a CONCLUSIONS: Substantial limitations lie in the quality of HBV-ACLF-specific CPMs. Disease severity of study populations may impact model performance. The clinical utility of CPMs in predicting short-term prognosis of HBV-ACLF remains to be undefined | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Acute-on-chronic liver failure | |
650 | 4 | |a Clinical prediction models | |
650 | 4 | |a Hepatitis B virus | |
650 | 4 | |a Quality and performance | |
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700 | 1 | |a Xu, Xianbin |e verfasserin |4 aut | |
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700 | 1 | |a Sheng, Jifang |e verfasserin |4 aut | |
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