Literature DB >> 22909830

Validation of the Caprini risk assessment model in Chinese hospitalized patients with venous thromboembolism.

Hai-Xia Zhou1, Li-Qing Peng, Yu Yan, Qun Yi, Yong-Jiang Tang, Yong-Chun Shen, Yu-Lin Feng, Fu-Qiang Wen.   

Abstract

INTRODUCTION: Venous thromboembolism (VTE) occurs frequently in at-risk hospitalized patients, and prophylaxis of VTE is significantly underused. We sought to preliminarily assess the validity of Caprini risk assessment model, a famous individual VTE risk assessment model, in Chinese hospitalized patients with VTE.
MATERIALS AND METHODS: We undertook a retrospective study combined with a follow-up study among 347 confirmed VTE patients from a Chinese hospital.
RESULTS: Compared with the other two risk assessment models (RAMs), Caprini model can classify much more VTE patients into high or highest risk level and the differences were statistically significant (Caprini model vs Kucher model, p<0.0001; Caprini model vs the Padua Prediction Score, p<0.0001). Caprini model exhibited much more effect at assessing patient's VTE risk among surgical patients than nonsurgical patients(average risk score, 5.71 ± 2.54 vs 4.36 ± 2.51, p<0.0001; by Wilcoxon rank sum test, p=0.001 in favor of the prediction effect of the RAM in surgical patients). Kaplan-Meier analysis showed that patients classified into low and highest risk level by Caprini model had increased hazard for VTE recurrence when compared with patients classified into moderate and high risk level, but the result was not statistically significant (p=0.222).
CONCLUSIONS: Our study preliminarily suggests that the Caprini risk assessment model is a practical and effective tool to assess the risk of VTE among unselected Chinese inpatients and may also be useful in predicting the risk of VTE recurrence. However, future studies with control group and prospective validation of the model in Chinese inpatients are needed.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22909830     DOI: 10.1016/j.thromres.2012.08.001

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   3.944


  13 in total

1.  Risk-assessment models for VTE and bleeding in hospitalized medical patients: an overview of systematic reviews.

Authors:  Andrea J Darzi; Allen B Repp; Frederick A Spencer; Rami Z Morsi; Rana Charide; Itziar Etxeandia-Ikobaltzeta; Kenneth A Bauer; Allison E Burnett; Mary Cushman; Francesco Dentali; Susan R Kahn; Suely M Rezende; Neil A Zakai; Arnav Agarwal; Samer G Karam; Tamara Lotfi; Wojtek Wiercioch; Reem Waziry; Alfonso Iorio; Elie A Akl; Holger J Schünemann
Journal:  Blood Adv       Date:  2020-10-13

2.  Establishment of Prediction Models for Venous Thromboembolism in Non-Oncological Urological Inpatients - A Single-Center Experience.

Authors:  Kaixuan Li; Meihong Yu; Haozhen Li; Quan Zhu; Ziqiang Wu; Zhao Wang; Zhengyan Tang
Journal:  Int J Gen Med       Date:  2022-03-24

3.  Assessing the Caprini Score for Risk Assessment of Venous Thromboembolism in Hospitalized Medical Patients.

Authors:  Paul J Grant; M Todd Greene; Vineet Chopra; Steven J Bernstein; Timothy P Hofer; Scott A Flanders
Journal:  Am J Med       Date:  2015-11-06       Impact factor: 4.965

4.  A novel risk assessment model for venous thromboembolism after major thoracic surgery: a Chinese single-center study.

Authors:  Bo Tian; Hui Li; Songping Cui; Chunfeng Song; Tong Li; Bin Hu
Journal:  J Thorac Dis       Date:  2019-05       Impact factor: 2.895

5.  Assessing the Risk for Development of Deep Vein Thrombosis among Chinese Patients using the 2010 Caprini Risk Assessment Model: A Prospective Multicenter Study.

Authors:  Haixin Bo; Yilin Li; Ge Liu; Yufen Ma; Zhen Li; Jing Cao; Ying Liu; Jing Jiao; Jiaqian Li; Fangfang Li; Hongpeng Liu; Chen Zhu; Huaping Liu; Baoyun Song; Jingfen Jin; Yilan Liu; Xianxiu Wen; Shouzhen Cheng; Xia Wan; Xinjuan Wu
Journal:  J Atheroscler Thromb       Date:  2019-12-17       Impact factor: 4.928

6.  Risk Assessment in Chinese Hospitalized Patients Comparing the Padua and Caprini Scoring Algorithms.

Authors:  Xiaolan Chen; Lei Pan; Hui Deng; Jingyuan Zhang; Xinjie Tong; He Huang; Min Zhang; Jianlin He; Joseph A Caprini; Yong Wang
Journal:  Clin Appl Thromb Hemost       Date:  2018-09-09       Impact factor: 2.389

7.  Determination of Risk Factors for Venous Thromboembolism by an Adapted Caprini Scoring System in Surgical Patients.

Authors:  Bui My Hanh; Le Quang Cuong; Nguyen Truong Son; Duong Tuan Duc; Tran Tien Hung; Duong Duc Hung; Tran Binh Giang; Nguyen Hoang Hiep; Hoang Thi Hong Xuyen; Nguyen Thi Nga; Dinh-Toi Chu
Journal:  J Pers Med       Date:  2019-07-17

8.  Prevention of health care associated venous thromboembolism through implementing VTE prevention clinical practice guidelines in hospitalized medical patients: a systematic review and meta-analysis.

Authors:  Juliana Abboud; Abir Abdel Rahman; Lara Kahale; Martin Dempster; Pauline Adair
Journal:  Implement Sci       Date:  2020-06-24       Impact factor: 7.327

Review 9.  Asia-Pacific venous thromboembolism consensus in knee and hip arthroplasty and hip fracture surgery: Part 1. Diagnosis and risk factors.

Authors:  Srihatach Ngarmukos; Kang-Il Kim; Siwadol Wongsak; Thanainit Chotanaphuti; Yutaka Inaba; Cheng-Fong Chen; David Liu
Journal:  Knee Surg Relat Res       Date:  2021-06-19

10.  Assessment of the Risk of Venous Thromboembolism in Medical Inpatients using the Padua Prediction Score and Caprini Risk Assessment Model.

Authors:  Haixia Zhou; Yuehong Hu; Xiaoqian Li; Lan Wang; Maoyun Wang; Jun Xiao; Qun Yi
Journal:  J Atheroscler Thromb       Date:  2018-03-13       Impact factor: 4.928

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