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Establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis

OBJECTIVE: Acute decompensation (AD) in liver cirrhosis has high mortality. We assessed prognostic scoring models and established prediction models for different etiologies of AD. METHODS: This retrospective analysis included 732 patients hospitalized with acute decompensated cirrhosis without acute...

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Autores principales: Cai, Qun, Zhu, Mingyan, Duan, Jinnan, Wang, Hao, Sheng, Jifang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753578/
https://www.ncbi.nlm.nih.gov/pubmed/31364441
http://dx.doi.org/10.1177/0300060519862065
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author Cai, Qun
Zhu, Mingyan
Duan, Jinnan
Wang, Hao
Sheng, Jifang
author_facet Cai, Qun
Zhu, Mingyan
Duan, Jinnan
Wang, Hao
Sheng, Jifang
author_sort Cai, Qun
collection PubMed
description OBJECTIVE: Acute decompensation (AD) in liver cirrhosis has high mortality. We assessed prognostic scoring models and established prediction models for different etiologies of AD. METHODS: This retrospective analysis included 732 patients hospitalized with acute decompensated cirrhosis without acute-on-chronic liver failure. We performed logistic regression analysis of risk factors for mortality associated with different etiologies, to establish predictive models. RESULTS: Patients with different etiologies, scored using different scoring systems and various impact factors, exhibited differences with respect to mortality. MELD, CLIF-C-AD, MELD-Na, and AARC-ACLF scores exhibited adequate predictive ability for mortality. Area under the receiver operating characteristic curve for 28-day mortality for MELD, CLIF-C-AD, MELD-Na, AARC-ACLF, and the newly developed AD scores was 0.663, 0.673, 0.657, 0.662, and 0.773, respectively, in the hepatitis B virus group (HBV-AD score =−5.51 + 0.07*WBC count (10(9)/L) +0.7*AD sum+0.4*AARC-ACLF score); 0.731, 0.737, 0.735, 0.689, and 0.778, respectively, in the alcoholic liver disease group (ALD-AD score =−4.55 +0.08* WBC count (10(9)/L) +1.34* AD sum); and 0.765, 0.767, 0.814, 0.720, and 0.814, respectively, in the Others group (OTHERS-AD score =−2.14 + 1.24*MELD-Na score +4.49*AD sum). CONCLUSIONS: The newly developed scoring models for short-term mortality were superior to the other scoring systems in predicting prognosis of acute decompensated cirrhosis in hospitalized patients.
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spelling pubmed-67535782019-09-25 Establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis Cai, Qun Zhu, Mingyan Duan, Jinnan Wang, Hao Sheng, Jifang J Int Med Res Clinical Research Reports OBJECTIVE: Acute decompensation (AD) in liver cirrhosis has high mortality. We assessed prognostic scoring models and established prediction models for different etiologies of AD. METHODS: This retrospective analysis included 732 patients hospitalized with acute decompensated cirrhosis without acute-on-chronic liver failure. We performed logistic regression analysis of risk factors for mortality associated with different etiologies, to establish predictive models. RESULTS: Patients with different etiologies, scored using different scoring systems and various impact factors, exhibited differences with respect to mortality. MELD, CLIF-C-AD, MELD-Na, and AARC-ACLF scores exhibited adequate predictive ability for mortality. Area under the receiver operating characteristic curve for 28-day mortality for MELD, CLIF-C-AD, MELD-Na, AARC-ACLF, and the newly developed AD scores was 0.663, 0.673, 0.657, 0.662, and 0.773, respectively, in the hepatitis B virus group (HBV-AD score =−5.51 + 0.07*WBC count (10(9)/L) +0.7*AD sum+0.4*AARC-ACLF score); 0.731, 0.737, 0.735, 0.689, and 0.778, respectively, in the alcoholic liver disease group (ALD-AD score =−4.55 +0.08* WBC count (10(9)/L) +1.34* AD sum); and 0.765, 0.767, 0.814, 0.720, and 0.814, respectively, in the Others group (OTHERS-AD score =−2.14 + 1.24*MELD-Na score +4.49*AD sum). CONCLUSIONS: The newly developed scoring models for short-term mortality were superior to the other scoring systems in predicting prognosis of acute decompensated cirrhosis in hospitalized patients. SAGE Publications 2019-07-31 2019-09 /pmc/articles/PMC6753578/ /pubmed/31364441 http://dx.doi.org/10.1177/0300060519862065 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Clinical Research Reports
Cai, Qun
Zhu, Mingyan
Duan, Jinnan
Wang, Hao
Sheng, Jifang
Establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis
title Establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis
title_full Establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis
title_fullStr Establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis
title_full_unstemmed Establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis
title_short Establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis
title_sort establishment of prognostic scoring models for different etiologies of acute decompensation in hospitalized patients with cirrhosis
topic Clinical Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6753578/
https://www.ncbi.nlm.nih.gov/pubmed/31364441
http://dx.doi.org/10.1177/0300060519862065
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