The Caprini thrombosis risk model predicts the risk of peripherally inserted central catheter-related upper extremity venous thrombosis in patients with cancer.


Journal

Journal of vascular surgery. Venous and lymphatic disorders
ISSN: 2213-3348
Titre abrégé: J Vasc Surg Venous Lymphat Disord
Pays: United States
ID NLM: 101607771

Informations de publication

Date de publication:
09 2021
Historique:
received: 23 06 2020
accepted: 16 12 2020
pubmed: 1 1 2021
medline: 27 1 2022
entrez: 31 12 2020
Statut: ppublish

Résumé

A peripherally inserted central catheter (PICC) is often necessary for patients receiving chemotherapy, but there is a risk of PICC-related venous thrombosis (VT). We sought to use the Caprini thrombosis risk model and color Doppler flow imaging for the dynamic monitoring of an eventual thrombosis in patients receiving chemotherapy. This prospective study was carried out from January 2018 to May 2019 in patients who underwent PICC implantation and maintenance at the First Affiliated Hospital of Fujian Medical University. The outcome event was the occurrence of PICC-related upper extremity venous thrombosis confirmed by color Doppler flow imaging. A total of 201 participants were enrolled, of whom 108 (53.7%) developed VT. Three participants (1.5%) developed symptomatic VT. Univariable logistic regression analysis suggested that the Caprini score (odds ratio [OR], 1.243; 95% confidence interval [CI], 1.074-1.438; P = .003), the PICC model (OR, 0.448; 95% CI, 0.223-0.901; P = .024), and a previous history of PICC-related deep vein thrombosis (OR, 9.388; 95% CI, 1.178-74.786; P = .034) were associated with PICC-related upper extremity VT. Multivariable logistic regression analysis showed that only the Caprini score (OR, 1.188; 95% CI, 1.018-1.386; P = .029) was an independent risk factor for PICC-related venous thrombus. A receiver operating characteristic curve analysis showed the Caprini risk assessment model had a predictive value for upper extremity VT, with an area under the curve of 0.615 (95% CI, 0.538-0.693), 74.1% sensitivity, and 44.1% specificity. The Caprini score is an independent predictor of the development of PICC-related VT in patients with cancer. However, the moderate sensitivity and low specificity of the Caprini risk assessment model may limit its predictive value in the clinical setting.

Sections du résumé

BACKGROUND
A peripherally inserted central catheter (PICC) is often necessary for patients receiving chemotherapy, but there is a risk of PICC-related venous thrombosis (VT). We sought to use the Caprini thrombosis risk model and color Doppler flow imaging for the dynamic monitoring of an eventual thrombosis in patients receiving chemotherapy.
METHODS
This prospective study was carried out from January 2018 to May 2019 in patients who underwent PICC implantation and maintenance at the First Affiliated Hospital of Fujian Medical University. The outcome event was the occurrence of PICC-related upper extremity venous thrombosis confirmed by color Doppler flow imaging.
RESULTS
A total of 201 participants were enrolled, of whom 108 (53.7%) developed VT. Three participants (1.5%) developed symptomatic VT. Univariable logistic regression analysis suggested that the Caprini score (odds ratio [OR], 1.243; 95% confidence interval [CI], 1.074-1.438; P = .003), the PICC model (OR, 0.448; 95% CI, 0.223-0.901; P = .024), and a previous history of PICC-related deep vein thrombosis (OR, 9.388; 95% CI, 1.178-74.786; P = .034) were associated with PICC-related upper extremity VT. Multivariable logistic regression analysis showed that only the Caprini score (OR, 1.188; 95% CI, 1.018-1.386; P = .029) was an independent risk factor for PICC-related venous thrombus. A receiver operating characteristic curve analysis showed the Caprini risk assessment model had a predictive value for upper extremity VT, with an area under the curve of 0.615 (95% CI, 0.538-0.693), 74.1% sensitivity, and 44.1% specificity.
CONCLUSIONS
The Caprini score is an independent predictor of the development of PICC-related VT in patients with cancer. However, the moderate sensitivity and low specificity of the Caprini risk assessment model may limit its predictive value in the clinical setting.

Identifiants

pubmed: 33383236
pii: S2213-333X(20)30731-9
doi: 10.1016/j.jvsv.2020.12.075
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1151-1158

Informations de copyright

Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Yingchun Lin (Y)

Department of Hematology, Rheumatology and Immunology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Zhiyong Zeng (Z)

Department of Hematology, Rheumatology and Immunology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Rongjin Lin (R)

Nursing Department, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China. Electronic address: 15980632560@163.com.

Jianying Zheng (J)

Department of Hematology, Rheumatology and Immunology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Shiping Liu (S)

Department of Radiotherapy, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Xiuqing Gao (X)

Department of Oncology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

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