A Composite Index for Distinguishing Benign and Malignant Obstructive Jaundice.

IF 2.1 4区医学 Q2 MEDICINE, GENERAL & INTERNAL

International Journal of General Medicine Pub Date : 2024-11-08 eCollection Date: 2024-01-01 DOI:10.2147/IJGM.S485004

Hao Peng, Jixue Li, Xiaoru Zhou, Zhewen Nong, Ruiying Zhang, Pei Lu, Shasha Ye, Liping Lei, Chuang Qin, Jiangfa Li

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引用次数: 0

Abstract

Objective: To explore a more effective and practical comprehensive index for differentiating benign from malignant obstructive jaundice by analyzing the clinical data of patients with benign obstructive jaundice (BJ) group and malignant obstructive jaundice (MJ) group.

Methods: A retrospective analysis was conducted on the clinical data of 339 patients with obstructive jaundice. The cases were divided into two data sets: training cohort and validation cohort. The cases were divided into two groups: malignant and benign obstructive jaundice group. Logistic regression analysis was used to build a prediction model for judging the nature of obstructive jaundice, and the prediction model was verified using the validation cohort.

Results: Multivariate analysis revealed that CEA, TBIL, and NLR were independent factors in malignant obstructive jaundice. A comprehensive index for differentiating benign from malignant obstructive jaundice was established based on these indicators. The sensitivity, specificity, and receiver operating characteristic curve of this model for differentiating benign from malignant obstructive jaundice were 79.57%, 93.26%, and 0.920, respectively.

Conclusion: The prediction model based on the comprehensive index of CEA, TBIL, and NLR has a higher accuracy in differentiating malignant obstructive jaundice.

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区分良性和恶性阻塞性黄疸的综合指数

目的通过分析良性梗阻性黄疸（BJ）组和恶性梗阻性黄疸（MJ）组患者的临床数据，探索更有效、更实用的良恶性梗阻性黄疸综合鉴别指标：对 339 例梗阻性黄疸患者的临床数据进行回顾性分析。病例分为两组数据：训练组和验证组。病例分为两组：恶性和良性梗阻性黄疸组。利用逻辑回归分析建立了阻塞性黄疸性质判断的预测模型，并利用验证队列对预测模型进行了验证：多变量分析显示，CEA、TBIL和NLR是恶性梗阻性黄疸的独立因素。根据这些指标建立了区分良性和恶性梗阻性黄疸的综合指标。该模型区分良性和恶性梗阻性黄疸的灵敏度、特异性和接收器操作特征曲线分别为 79.57%、93.26% 和 0.920：结论：基于 CEA、TBIL 和 NLR 综合指标的预测模型在区分恶性梗阻性黄疸方面具有更高的准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of General Medicine Medicine-General Medicine

自引率

0.00%

发文量

1113

审稿时长

16 weeks

期刊介绍： The International Journal of General Medicine is an international, peer-reviewed, open access journal that focuses on general and internal medicine, pathogenesis, epidemiology, diagnosis, monitoring and treatment protocols. The journal is characterized by the rapid reporting of reviews, original research and clinical studies across all disease areas. A key focus of the journal is the elucidation of disease processes and management protocols resulting in improved outcomes for the patient. Patient perspectives such as satisfaction, quality of life, health literacy and communication and their role in developing new healthcare programs and optimizing clinical outcomes are major areas of interest for the journal. As of 1st April 2019, the International Journal of General Medicine will no longer consider meta-analyses for publication.