Comparison between the Khorana prediction score and Caprini risk assessment models for assessing the risk of venous thromboembolism in hospitalized patients with cancer: a retrospective case control study.


Journal

Interactive cardiovascular and thoracic surgery
ISSN: 1569-9285
Titre abrégé: Interact Cardiovasc Thorac Surg
Pays: England
ID NLM: 101158399

Informations de publication

Date de publication:
01 10 2020
Historique:
received: 17 02 2020
revised: 10 06 2020
accepted: 28 06 2020
pubmed: 11 9 2020
medline: 27 4 2021
entrez: 10 9 2020
Statut: ppublish

Résumé

This study aimed to evaluate the optimal risk assessment model (RAM) to stratify the risk of venous thromboembolism (VTE) in hospitalized patients with cancer. We examined and compared the VTE predictive ability of the Khorana score (KS) and the Caprini RAM in hospitalized cancer patients. We performed a retrospective case-control study among hospitalized cancer patients admitted to a comprehensive hospital in China from January 2015 to December 2016. A total of 221 cases were confirmed to have VTE during hospitalization and 221 controls were selected randomly. The Caprini RAM and KS were implemented and the individual scores of each risk factor were summed to generate a cumulative risk score. Meanwhile, the sensitivity, specificity, areas under curve of the receiver operating characteristic curve and calibration of these 2 models were analysed. Significant differences were observed in risk factors between VTE and non-VTE hospitalized cancer patients and the VTE risk increased significantly with an increase in the cumulative KS or Caprini RAM score. A classification of 'high risk' according to KS and Caprini RAM was associated with 2.272-fold and 3.825-fold increases in VTE risk, respectively. However, the Caprini RAM could identify 82.4% of the VTE cases that required preventive anticoagulant therapy according to American College of Chest Physicians guidelines, whereas the KS could only identify 35.3% of the VTE cases. In addition, the areas under curve of Caprini RAM were significantly higher than those of the KS (0.705 ± 0.024 vs 0.581 ± 0.025, P < 0.001), with a best cut-off value of 5 score, which happened to be the cut-off value for high risk of VTE in Caprini RAM. Both Caprini RAM and KS showed an excellent calibration curve (0.612 vs 0.141, P > 0.05), but the risk of VTE events predicted by Caprini seemed closer to the observed risk of VTE events. The Caprini RAM was found to be more effective than the KS in identifying hospitalized patients with cancer at risk of VTE.

Identifiants

pubmed: 32910201
pii: 5903545
doi: 10.1093/icvts/ivaa137
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

454-460

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Auteurs

Yuehong Hu (Y)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Xiaoqian Li (X)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Haixia Zhou (H)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Ping Lin (P)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Jiarui Zhang (J)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Dong Huang (D)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Min Qi (M)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Yongjiang Tang (Y)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Qun Yi (Q)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Zong'an Liang (Z)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

Maoyun Wang (M)

Department of Respiratory and Critical Care Medicine, West China Hospital/West China School of Medicine, Sichuan University, Chengdu, China.

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