预测原发性胆汁性胆管炎患者对熊去氧胆酸的充分和深度反应的新的简单评分:ALP-A 评分。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-05-01 Epub Date: 2024-03-25 DOI:10.1097/MEG.0000000000002744
Guilherme Grossi Lopes Cançado, Nathalia Mota de Faria Gomes, Cláudia Alves Couto, Eduardo Luiz Rachid Cançado, Debora Raquel Benedita Terrabuio, Cristiane Alves Villela-Nogueira, Michelle Harriz Braga, Mateus Jorge Nardelli, Luciana Costa Faria, Elze Maria Gomes Oliveira, Vivian Rotman, Maria Beatriz Oliveira, Simone Muniz Carvalho Fernandes da Cunha, Daniel Ferraz de Campos Mazo, Liliana Sampaio Costa Mendes, Claudia Alexandra Pontes Ivantes, Liana Codes, Valéria Ferreira de Almeida E Borges, Fabio Heleno de Lima Pace, Mário Guimarães Pessôa, Izabelle Venturini Signorelli, Gabriela Perdomo Coral, Paulo Lisboa Bittencourt, Patrícia Fucuta, Roberto José de Carvalho Filho, Maria Lucia Gomes Ferraz
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引用次数: 0

摘要

背景:熊去氧胆酸(UDCA)是治疗原发性胆汁性胆管炎(PBC)的标准疗法,但有相当一部分患者的反应并不充分,导致不良后果的风险增加。本研究旨在开发一种新的、简单明了的预测评分方法,以识别可能对 UDCA 完全应答的 PBC 患者:方法:使用 PBC 患者衍生队列进行逻辑回归分析,以确定与 UDCA 反应相关的治疗前变量。该分析得出了 ALP-A 评分,其计算公式为诊断年龄除以(诊断时的碱性磷酸酶/正常值上限)。ALP-A 评分的准确性采用 ROC 曲线下面积进行评估,并通过巴西的大型外部队列进行验证。此外,还评估了 ALP-A 评分与之前验证的 UDCA 反应评分(URS)之间的相关性:结果:ALP-A 评分对治疗 1 年后的充分(AUC 0.794;95% CI,0.737-0.852)和深度(0.76;95% CI,0.69-0.83)UDCA 反应具有良好的预测能力。17分和23分的临界值分别被确定为区分充分反应者和深度反应者与非反应者的最佳临界值。ALP-A 评分对生化反应的敏感性为 73%,特异性为 71%,阳性预测值为 65%,阴性预测值为 78%,总体准确率为 72%。URS显示出相似的鉴别能力(AUC 0.798; 95% CI, 0.741-0.855):ALP-A评分的表现与URS不相上下,但在常规临床应用中具有简便易行的巨大优势。结论:ALP-A评分的表现与URS不相上下,但在常规临床应用中具有简单易用的巨大优势。它是鉴别对UDCA治疗反应较小的PBC患者的重要工具,有助于及早考虑其他治疗方法。
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A new and simple score to predict adequate and deep response to ursodeoxycholic acid in patients with primary biliary cholangitis: the ALP-A score.

Background: Ursodeoxycholic acid (UDCA) is the standard treatment for primary biliary cholangitis (PBC), but a significant proportion of patients do not respond adequately, leading to increased risk of adverse outcomes. This study aims to develop a new and straightforward predictive score to identify PBC patients likely to achieve a complete response to UDCA.

Methods: A logistic regression analysis was conducted using a derivation cohort of PBC patients to identify pre-treatment variables associated with response to UDCA. This analysis led to the development of the ALP-A score, calculated as: Age at diagnosis divided by (alkaline phosphatase at diagnosis/upper limit of normal). ALP-A score accuracy was evaluated using the area under the ROC curve, validated with a large external cohort from Brazil. Additionally, the correlation between the ALP-A score and the previously validated UDCA response score (URS) was assessed.

Results: ALP-A score had good predictive power for adequate (AUC 0.794; 95% CI, 0.737-0.852) and deep (0.76; 95% CI, 0.69-0.83) UDCA response at 1 year of treatment. A cutoff score of 17 and 23 points was determined to be the optimal threshold for distinguishing adequate and deep responders, respectively, from non-responders. ALP-A score demonstrated a sensitivity of 73%, specificity of 71%, positive predictive value of 65%, negative predictive value of 78%, and overall accuracy of 72% for biochemical response. The URS displayed similar discriminative ability (AUC 0.798; 95% CI, 0.741-0.855).

Conclusion: ALP-A score performs comparably to URS but offers the great advantage of simplicity for routine clinical use. It serves as a valuable tool to identify PBC patients less likely to respond to UDCA treatment, facilitating early consideration of alternative therapeutic approaches.

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ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
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2.10%
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464
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