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癌症患者中心静脉导管相关血栓形成预测列线图的建立与验证:一项回顾性巢式病例对照研究

Establishment and validation of a predictive nomogram for central venous catheter-related thrombosis in cancer patients: a retrospective nested case-control study.

作者信息

Wang Xuexing, Dai Xiao, He Yuan, Chu Jie, Wang Yufeng

机构信息

Department of Oncology, Anning First People's Hospital Affiliated to Kunming University of Science and Technology, Kunming, Yunnan, China.

Cadre Medical Department, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.

出版信息

Front Oncol. 2024 Aug 16;14:1418273. doi: 10.3389/fonc.2024.1418273. eCollection 2024.

Abstract

BACKGROUND

Catheter-related thrombosis (CRT) is a common complication for patients who receive central venous catheter (CVC) placement. This study investigated the risk factors for CRT and developed a nomogram for CRT prediction among cancer patients.

METHODS

This nested case-control study was conducted in the Third Affiliated Hospital of Kunming Medical University between January 2019 and February 2021. Univariable and multivariable logistic regression analyses were used to identify the risk factors for CRT. A nomogram was developed to predict CRT. Receiver operating curves (ROC), calibration curves, and decision curves were used to evaluate the performance of the nomogram in the training and validation sets.

RESULTS

A total of 4,691 cancer patients were included in this study. Among them, 355 (7.57%) had CRT, and 70% of CRTs occurred in the first week of insertion. Among the 3,284 patients in the training set, the multivariable analysis showed that nine characteristics were independently associated with CRT, and a nomogram was constructed based on the multivariable analysis. The ROC analysis indicated good discrimination in the training set (area under the curve [AUC] = 0.832, 95% CI: 0.802-0.862) and the testing set (AUC = 0.827, 95% CI: 0.783-0.871) for the CRT nomogram. The calibration curves showed good calibration abilities, and the decision curves indicated the clinical usefulness of the prediction nomograms.

CONCLUSION

The validated nomogram accurately predicts CRT occurrence in cancer patients. This model may assist clinicians in developing treatment plans for each patient.

摘要

背景

导管相关血栓形成(CRT)是接受中心静脉导管(CVC)置入的患者常见的并发症。本研究调查了CRT的危险因素,并为癌症患者制定了CRT预测列线图。

方法

本巢式病例对照研究于2019年1月至2021年2月在昆明医科大学第三附属医院进行。采用单变量和多变量逻辑回归分析确定CRT的危险因素。制定了一个列线图来预测CRT。采用受试者操作曲线(ROC)、校准曲线和决策曲线评估列线图在训练集和验证集中的性能。

结果

本研究共纳入4691例癌症患者。其中,355例(7.57%)发生CRT,70%的CRT发生在置管的第一周。在训练集的3284例患者中,多变量分析显示9个特征与CRT独立相关,并基于多变量分析构建了列线图。ROC分析表明,CRT列线图在训练集(曲线下面积[AUC]=0.832,95%CI:0.802-0.862)和测试集(AUC=0.827,95%CI:0.783-0.871)中具有良好的区分能力。校准曲线显示出良好的校准能力,决策曲线表明预测列线图具有临床实用性。

结论

经过验证的列线图能够准确预测癌症患者CRT的发生。该模型可能有助于临床医生为每位患者制定治疗方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea5/11361954/8dfe9b9c8356/fonc-14-1418273-g001.jpg

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