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ORIGINAL RESEARCH article

Front. Oncol.
Sec. Cancer Epidemiology and Prevention
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1418273
This article is part of the Research Topic Mechanisms and Management of Inflammation-driven Cardiovascular Risk: from Obesity and Diabetes to Autoimmunity and Cancer View all 4 articles

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

Provisionally accepted
Xuexing Wang Xuexing Wang 1Xiao Dai Xiao Dai 2*Yuan He Yuan He 3*Jie Chu Jie Chu 4*Yufeng Wang Yufeng Wang 3*
  • 1 First People’s Hospital of Anning City (Jinfang Branch), Anning, China
  • 2 Other, Neijiang, China
  • 3 The Third Affiliated Hospital of Kunming Medical University, Kunming, China
  • 4 Ziyang People's Hospital, Ziyang, China

The final, formatted version of the article will be published soon.

    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 4691 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 3284 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.

    Keywords: nomogram, Catheter-related thrombosis, risk factor, Logistic regression, Nested case-control study

    Received: 17 Apr 2024; Accepted: 25 Jul 2024.

    Copyright: © 2024 Wang, Dai, He, Chu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Xiao Dai, Other, Neijiang, China
    Yuan He, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
    Jie Chu, Ziyang People's Hospital, Ziyang, China
    Yufeng Wang, The Third Affiliated Hospital of Kunming Medical University, Kunming, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.