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CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure
AIM: The early prognosis evaluation of acute-on-chronic liver failure (ACLF) is important to decrease its mortality. We aimed to develop a new score to accurately predict the outcome of patients with ACLF. METHODS: A derivation set of 408 patients with hepatitis B virus-related ACLF (HBV-ACLF) based...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844105/ https://www.ncbi.nlm.nih.gov/pubmed/36660376 http://dx.doi.org/10.2147/JIR.S389789 |
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author | Huang, Chenlu Li, Weixia Chen, Chong Xu, Wei Fei, Ling Tao, Shuai Hu, Qiankun Xie, Xudong Cao, Xiongyue Zhang, Xiao-Yu Chen, Liang Li, Qiang Huang, Yuxian |
author_facet | Huang, Chenlu Li, Weixia Chen, Chong Xu, Wei Fei, Ling Tao, Shuai Hu, Qiankun Xie, Xudong Cao, Xiongyue Zhang, Xiao-Yu Chen, Liang Li, Qiang Huang, Yuxian |
author_sort | Huang, Chenlu |
collection | PubMed |
description | AIM: The early prognosis evaluation of acute-on-chronic liver failure (ACLF) is important to decrease its mortality. We aimed to develop a new score to accurately predict the outcome of patients with ACLF. METHODS: A derivation set of 408 patients with hepatitis B virus-related ACLF (HBV-ACLF) based on the Asian Pacific Association for the Study of the Liver criteria is used to develop a prognostic score that was validated in 209 patients with HBV-ACLF and 195 patients with non-HBV-ACLF. RESULTS: Seven factors were significantly related to the 28-day mortality and constituted a new score (CHINAT-CD4 = 0.320 × ln (creatinine) + 0.668 × hepatic encephalopathy score + 0.745 × ln (international normalized ratio) + 0.476 × ln (neutrophil) + 0.251 × ln (aspartate aminotransferase) + 0.411 × ln (total bilirubin) - 0.605 × ln (CD4+ T cells count)). The C-indices of the new score for the 28-/90-day mortality (0.810/0.806) outperformed those of the other seven scores (p≤0.05). The results were confirmed in a validation set (0.798/793 for HBV-ACLF; 0.790/0.788 for non-HBV-ACLF). The novel score based on CD4(+) T cell count showed high predictive performance for the 28-/90-day mortality of ACLF. CONCLUSION: The novel score based on CD4(+) T cell count can accurately predict the 28-/90-day mortality for patients with ACLF. |
format | Online Article Text |
id | pubmed-9844105 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-98441052023-01-18 CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure Huang, Chenlu Li, Weixia Chen, Chong Xu, Wei Fei, Ling Tao, Shuai Hu, Qiankun Xie, Xudong Cao, Xiongyue Zhang, Xiao-Yu Chen, Liang Li, Qiang Huang, Yuxian J Inflamm Res Original Research AIM: The early prognosis evaluation of acute-on-chronic liver failure (ACLF) is important to decrease its mortality. We aimed to develop a new score to accurately predict the outcome of patients with ACLF. METHODS: A derivation set of 408 patients with hepatitis B virus-related ACLF (HBV-ACLF) based on the Asian Pacific Association for the Study of the Liver criteria is used to develop a prognostic score that was validated in 209 patients with HBV-ACLF and 195 patients with non-HBV-ACLF. RESULTS: Seven factors were significantly related to the 28-day mortality and constituted a new score (CHINAT-CD4 = 0.320 × ln (creatinine) + 0.668 × hepatic encephalopathy score + 0.745 × ln (international normalized ratio) + 0.476 × ln (neutrophil) + 0.251 × ln (aspartate aminotransferase) + 0.411 × ln (total bilirubin) - 0.605 × ln (CD4+ T cells count)). The C-indices of the new score for the 28-/90-day mortality (0.810/0.806) outperformed those of the other seven scores (p≤0.05). The results were confirmed in a validation set (0.798/793 for HBV-ACLF; 0.790/0.788 for non-HBV-ACLF). The novel score based on CD4(+) T cell count showed high predictive performance for the 28-/90-day mortality of ACLF. CONCLUSION: The novel score based on CD4(+) T cell count can accurately predict the 28-/90-day mortality for patients with ACLF. Dove 2023-01-13 /pmc/articles/PMC9844105/ /pubmed/36660376 http://dx.doi.org/10.2147/JIR.S389789 Text en © 2023 Huang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Huang, Chenlu Li, Weixia Chen, Chong Xu, Wei Fei, Ling Tao, Shuai Hu, Qiankun Xie, Xudong Cao, Xiongyue Zhang, Xiao-Yu Chen, Liang Li, Qiang Huang, Yuxian CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure |
title | CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure |
title_full | CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure |
title_fullStr | CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure |
title_full_unstemmed | CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure |
title_short | CHINAT-CD4 Score Predicts Transplant-Free Survival in Patients with Acute-on-Chronic Liver Failure |
title_sort | chinat-cd4 score predicts transplant-free survival in patients with acute-on-chronic liver failure |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844105/ https://www.ncbi.nlm.nih.gov/pubmed/36660376 http://dx.doi.org/10.2147/JIR.S389789 |
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