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原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究

OBJECTIVE: To examine the influencing factors and prognostic features of poor response to ursodeoxycholic acid (UDCA) treatment in primary biliary cholangitis (PBC) patients with dyslipidemia. METHODS: A retrospective study was conducted, covering 512 patients who had a confirmed diagnosis of PBC, a...

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Formato: Online Artículo Texto
Lenguaje:English
Publicado: 四川大学学报(医学版)编辑部 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579060/
https://www.ncbi.nlm.nih.gov/pubmed/37866948
http://dx.doi.org/10.12182/20231360301
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description OBJECTIVE: To examine the influencing factors and prognostic features of poor response to ursodeoxycholic acid (UDCA) treatment in primary biliary cholangitis (PBC) patients with dyslipidemia. METHODS: A retrospective study was conducted, covering 512 patients who had a confirmed diagnosis of PBC, and who received treatment at West China Hospital, Sichuan University between January 2009 and March 2022. According to their actual response to UDCA treatment, patients were divided into two groups, UDCA full-response group (n=305) and UDCA non-responding group (n=207). The data from the two groups were compared to predict the adverse factors influencing patient response and the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, identify the cut-off value of total cholesterol (TC), and analyze the differences in baseline laboratory test findings and the rate of responses to treatment. According to the TC cut-off value, patients were divided into a group with TC≥5.415 mmol/L and another group with TC<5.415 mmol/L. In addition, differences in the prognosis of the two groups were assessed by comparing the UK-PBC and GLOBE scores. RESULTS: The baseline data, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TB), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), triglycerides (TG), TC, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were significantly increased in the UDCA non-responding group compared to those in the full-response group (all P<0.005), while the albumin level of the UDCA non-responding group was decreased compared to that of the full-response group (P=0.012). Findings of multi-factor logistic regression analysis suggested that TC (odds ratio [OR]=1.501, 95% confidence interval [CI]: 1.275-1.767, P<0.01) and ALP (OR=1.005, 95% CI: 1.003-1.006, P<0.01) were independent risk factors influencing patient response. The ROC curve analysis suggested worse prognosis for patients with TC≥5.415 mmol/L (AUC: 0.727, 95% CI: 0.680-0.775, 63.8% sensitivity, 76.4% specificity). In addition, the UK-PBC risk score at 1 year of treatment was higher in the high-TC group (TC≥5.415 mmol/L) than that in the low-TC group (TC<5.415 mmol/L) (P<0.05). CONCLUSIONS: Hypercholesterolemia is an independent risk factor for poor response to UDCA in PBC patients. When the baseline TC is equal to or higher than 5.415 mmol/L, PBC patients have a relatively poor response to UDCA and poor prognosis.
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spelling pubmed-105790602023-10-18 原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究 Sichuan Da Xue Xue Bao Yi Xue Ban 大数据与人工智能技术在生物医学多场景的应用 OBJECTIVE: To examine the influencing factors and prognostic features of poor response to ursodeoxycholic acid (UDCA) treatment in primary biliary cholangitis (PBC) patients with dyslipidemia. METHODS: A retrospective study was conducted, covering 512 patients who had a confirmed diagnosis of PBC, and who received treatment at West China Hospital, Sichuan University between January 2009 and March 2022. According to their actual response to UDCA treatment, patients were divided into two groups, UDCA full-response group (n=305) and UDCA non-responding group (n=207). The data from the two groups were compared to predict the adverse factors influencing patient response and the area under the curve (AUC) of the receiver operating characteristic (ROC) curve, identify the cut-off value of total cholesterol (TC), and analyze the differences in baseline laboratory test findings and the rate of responses to treatment. According to the TC cut-off value, patients were divided into a group with TC≥5.415 mmol/L and another group with TC<5.415 mmol/L. In addition, differences in the prognosis of the two groups were assessed by comparing the UK-PBC and GLOBE scores. RESULTS: The baseline data, including alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TB), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), triglycerides (TG), TC, high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were significantly increased in the UDCA non-responding group compared to those in the full-response group (all P<0.005), while the albumin level of the UDCA non-responding group was decreased compared to that of the full-response group (P=0.012). Findings of multi-factor logistic regression analysis suggested that TC (odds ratio [OR]=1.501, 95% confidence interval [CI]: 1.275-1.767, P<0.01) and ALP (OR=1.005, 95% CI: 1.003-1.006, P<0.01) were independent risk factors influencing patient response. The ROC curve analysis suggested worse prognosis for patients with TC≥5.415 mmol/L (AUC: 0.727, 95% CI: 0.680-0.775, 63.8% sensitivity, 76.4% specificity). In addition, the UK-PBC risk score at 1 year of treatment was higher in the high-TC group (TC≥5.415 mmol/L) than that in the low-TC group (TC<5.415 mmol/L) (P<0.05). CONCLUSIONS: Hypercholesterolemia is an independent risk factor for poor response to UDCA in PBC patients. When the baseline TC is equal to or higher than 5.415 mmol/L, PBC patients have a relatively poor response to UDCA and poor prognosis. 四川大学学报(医学版)编辑部 2023-09-20 /pmc/articles/PMC10579060/ /pubmed/37866948 http://dx.doi.org/10.12182/20231360301 Text en © 2023《四川大学学报(医学版)》编辑部 版权所有 https://creativecommons.org/licenses/by-nc/4.0/开放获取 本文遵循知识共享署名—非商业性使用4.0国际许可协议(CC BY-NC 4.0),允许第三方对本刊发表的论文自由共享(即在任何媒介以任何形式复制、发行原文)、演绎(即修改、转换或以原文为基础进行创作),必须给出适当的署名,提供指向本文许可协议的链接,同时标明是否对原文作了修改;不得将本文用于商业目的。CC BY-NC 4.0许可协议访问 https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0). In other words, the full-text content of the journal is made freely available for third-party users to copy and redistribute in any medium or format, and to remix, transform, and build upon the content of the journal. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may not use the content of the journal for commercial purposes. For more information about the license, visit https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 大数据与人工智能技术在生物医学多场景的应用
原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究
title 原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究
title_full 原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究
title_fullStr 原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究
title_full_unstemmed 原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究
title_short 原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究
title_sort 原发性胆汁性胆管炎治疗应答的影响因素及预后预测作用研究
topic 大数据与人工智能技术在生物医学多场景的应用
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579060/
https://www.ncbi.nlm.nih.gov/pubmed/37866948
http://dx.doi.org/10.12182/20231360301
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