Suppr超能文献

动态列线图预测急性胆源性胰腺炎持续性器官衰竭:一项回顾性研究中的建立和验证。

Dynamic nomogram for persistent organ failure in acute biliary pancreatitis: Development and validation in a retrospective study.

机构信息

Department of Gastroenterology, Affiliated Hospital of Southwest Medical University, Luzhou, China.

Department of Gastroenterology, Affiliated Hospital of Southwest Medical University, Luzhou, China.

出版信息

Dig Liver Dis. 2022 Jun;54(6):805-811. doi: 10.1016/j.dld.2021.06.033. Epub 2021 Jul 23.

Abstract

BACKGROUND

Persistent organ failure (POF) increases the risk of death in patients with acute biliary pancreatitis (ABP). Currently, there is no early risk assessment tool for POF in patients with ABP.

AIMS

To establish and validate a dynamic nomogram for predicting the risk of POF in ABP.

METHODS

This was a retrospective study of 792 patients with ABP, with 595 cases in the development group and 197 cases in the validation group. Least absolute shrinkage and selection operator regression screened the predictors of POF, and logistic regression established the model (P < 0.05). A dynamic nomogram showed the model. We evaluated the model's discrimination, calibration, and clinical effectiveness; used the bootstrap method for internal validation; and conducted external validation in the validation group.

RESULTS

Neutrophils, haematocrit, serum calcium, and blood urea nitrogen were predictors of POF in ABP. In the development group and validation group, the areas under the receiver operating characteristic curves (AUROCs) were 0.875 and 0.854, respectively, and the Hosmer-Lemeshow test (P > 0.05) and calibration curve showed good consistency between the actual and prediction probability. Decision curve analysis showed that the dynamic nomogram has excellent clinical value.

CONCLUSION

This dynamic nomogram helps with the early identification and screening of high-risk patients with POF in ABP.

摘要

背景

持续性器官衰竭(POF)增加了急性胆源性胰腺炎(ABP)患者的死亡风险。目前,ABP 患者中尚无 POF 的早期风险评估工具。

目的

建立和验证预测 ABP 患者 POF 风险的动态列线图。

方法

这是一项回顾性研究,纳入了 792 例 ABP 患者,其中 595 例患者纳入开发组,197 例患者纳入验证组。最小绝对收缩和选择算子回归筛选出 POF 的预测因素,然后进行逻辑回归建立模型(P<0.05)。动态列线图显示了该模型。我们评估了模型的判别能力、校准能力和临床效果;使用 bootstrap 方法进行内部验证,并在验证组中进行外部验证。

结果

中性粒细胞、红细胞压积、血清钙和血尿素氮是 ABP 中 POF 的预测因素。在开发组和验证组中,受试者工作特征曲线(AUROCs)下面积分别为 0.875 和 0.854,Hosmer-Lemeshow 检验(P>0.05)和校准曲线显示实际概率与预测概率之间具有良好的一致性。决策曲线分析表明,该动态列线图具有出色的临床价值。

结论

该动态列线图有助于早期识别和筛选 ABP 中 POF 的高危患者。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验