Literature DB >> 31852858

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

Haixin Bo1, Yilin Li1, Ge Liu1, Yufen Ma1, Zhen Li1, Jing Cao1, Ying Liu1, Jing Jiao1, Jiaqian Li1, Fangfang Li1, Hongpeng Liu1, Chen Zhu1, Huaping Liu2, Baoyun Song3, Jingfen Jin4, Yilan Liu5, Xianxiu Wen6, Shouzhen Cheng7, Xia Wan8, Xinjuan Wu1.   

Abstract

AIM: We sought to validate the 2010 Caprini risk assessment model (RAM) in risk stratification for deep vein thrombosis (DVT) prophylaxis among Chinese bedridden patients.
METHODS: We performed a prospective study in 25 hospitals in China over 9 months. Patients were risk-stratified using the 2010 Caprini RAM.
RESULTS: We included a total 24,524 patients. Fresh DVT was found in 221 patients, with overall incidence of DVT 0.9%. We found a correlation of DVT incidence with Caprini score according to risk stratification (χ2 =196.308, P<0.001). Patients in the low-risk and moderate-risk groups had DVT incidence <0.5%. More than half of patients with DVT were in the highest risk group. Compared with the low-risk group, risk was 2.10-fold greater in the moderate-risk group, 3.34-fold greater in the high-risk group, and 16.12-fold greater in the highest-risk group with Caprini scores ≥ 9. The area under the receiver operating characteristic curve was 0.74 (95% confidence interval, 0.71-0.78; P<0.01) for all patients. A Caprini score of ≥ 5 points was considered the criterion of a reliably increased risk of DVT in surgical patients with standard thromboprophylaxis. Predicting DVT using a cumulative risk score ≥ 4 is recommended for nonsurgical patients.
CONCLUSIONS: Our study suggested that the 2010 Caprini RAM can be effectively used to stratify hospitalized Chinese patients into DVT risk categories, based on individual risk factors. Classification of the highest risk levels using a cumulative risk score ≥ 4 and ≥ 5 provides significantly greater clinical information in nonsurgical and surgical patients, respectively.

Entities:  

Keywords:  Caprini risk assessment model; Deep venous thrombosis; Risk stratification; Validation study; Venous thromboembolism

Mesh:

Year:  2019        PMID: 31852858      PMCID: PMC7458789          DOI: 10.5551/jat.51359

Source DB:  PubMed          Journal:  J Atheroscler Thromb        ISSN: 1340-3478            Impact factor:   4.928


  16 in total

Review 1.  Thrombosis risk assessment as a guide to quality patient care.

Authors:  Joseph A Caprini
Journal:  Dis Mon       Date:  2005 Feb-Mar       Impact factor: 3.800

2.  Assessing the risk for development of Venous Thromboembolism (VTE) in surgical patients using Adapted Caprini scoring system.

Authors:  Kanchan Bilgi; Anitha Muthusamy; Mohsina Subair; Sanjeev Srinivasan; Arun Kumar; Ramya Ravi; Ranjith Kumar; Sathasivam Sureshkumar; T Mahalakshmy; Pankaj Kundra; Vikram Kate
Journal:  Int J Surg       Date:  2016-04-22       Impact factor: 6.071

Review 3.  The incidence of pulmonary embolism and deep vein thrombosis after knee arthroplasty in Asians remains low: a meta-analysis.

Authors:  Woo-Suk Lee; Kang-Il Kim; Han-Jun Lee; Hee-Soo Kyung; Seung-Suk Seo
Journal:  Clin Orthop Relat Res       Date:  2013-05       Impact factor: 4.176

Review 4.  Scoring Systems for Estimating Risk of Venous Thromboembolism in Hospitalized Medical Patients.

Authors:  Sofia Barbar; Paolo Prandoni
Journal:  Semin Thromb Hemost       Date:  2017-02-06       Impact factor: 4.180

Review 5.  Scoring Systems for Estimating Risk of Venous Thromboembolism in Surgical Patients.

Authors:  Benjamin Jacobs; Christopher Pannucci
Journal:  Semin Thromb Hemost       Date:  2017-02-06       Impact factor: 4.180

6.  Assessment of postoperative venous thromboembolism risk in plastic surgery patients using the 2005 and 2010 Caprini Risk score.

Authors:  Christopher J Pannucci; Ruth J Barta; Pamela R Portschy; George Dreszer; Ronald E Hoxworth; Loree K Kalliainen; Edwin G Wilkins
Journal:  Plast Reconstr Surg       Date:  2012-08       Impact factor: 4.730

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

Authors:  Hai-Xia Zhou; Li-Qing Peng; Yu Yan; Qun Yi; Yong-Jiang Tang; Yong-Chun Shen; Yu-Lin Feng; Fu-Qiang Wen
Journal:  Thromb Res       Date:  2012-08-19       Impact factor: 3.944

8.  A validation study of a retrospective venous thromboembolism risk scoring method.

Authors:  Vinita Bahl; Hsou Mei Hu; Peter K Henke; Thomas W Wakefield; Darrell A Campbell; Joseph A Caprini
Journal:  Ann Surg       Date:  2010-02       Impact factor: 12.969

9.  Validation of a venous thromboembolism risk assessment model in hospitalized chinese patients: a case-control study.

Authors:  Haixia Zhou; Lan Wang; Xiaoling Wu; Yongjiang Tang; Jing Yang; Bo Wang; Yu Yan; Binmiao Liang; Ke Wang; Xuemei Ou; Maoyun Wang; Yulin Feng; Qun Yi
Journal:  J Atheroscler Thromb       Date:  2013-12-03       Impact factor: 4.928

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

View more
  6 in total

1.  Upsurge of deep venous thrombosis in patients affected by COVID-19: Preliminary data and possible explanations.

Authors:  Enrico M Marone; Luigi F Rinaldi
Journal:  J Vasc Surg Venous Lymphat Disord       Date:  2020-04-17

2.  A clinical study of peripherally inserted central catheter-related venous thromboembolism in patients with hematological malignancies.

Authors:  Jing Yue; Ya Zhang; Fang Xu; Ai Mi; Qiaolin Zhou; Bin Chen; Lin Shi
Journal:  Sci Rep       Date:  2022-06-14       Impact factor: 4.996

Review 3.  COVID-19 Pathogenesis and Clinical Manifestations.

Authors:  R Alfonso Hernandez Acosta; Zerelda Esquer Garrigos; Jasmine R Marcelin; Prakhar Vijayvargiya
Journal:  Infect Dis Clin North Am       Date:  2022-02-01       Impact factor: 5.905

4.  Venous thromboembolism risk assessment of surgical patients in Southwest China using real-world data: establishment and evaluation of an improved venous thromboembolism risk model.

Authors:  Peng Wang; Yao Wang; Zhaoying Yuan; Fei Wang; Hongqian Wang; Ying Li; Chengliang Wang; Linfeng Li
Journal:  BMC Med Inform Decis Mak       Date:  2022-03-04       Impact factor: 2.796

5.  Effect of Nursing Outcome-Oriented Intervention on Airway Management in Elderly Long-Term Bedridden Patients.

Authors:  Weiwei Ding; Fei Luo; Pingping Lin; Yu Tang; Ying Liu
Journal:  Comput Math Methods Med       Date:  2022-10-11       Impact factor: 2.809

Review 6.  Thrombotic complications of COVID-19.

Authors:  Jacob Avila; Brit Long; Dallas Holladay; Michael Gottlieb
Journal:  Am J Emerg Med       Date:  2020-10-01       Impact factor: 4.093

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.