Literature DB >> 24990708

External validation of a risk assessment model for venous thromboembolism in the hospitalised acutely-ill medical patient (VTE-VALOURR).

Charles E Mahan, Yang Liu, A Graham Turpie, Jennifer T Vu, Nancy Heddle, Richard J Cook, Undaleeb Dairkee, Alex C Spyropoulos1.   

Abstract

Venous thromboembolic (VTE) risk assessment remains an important issue in hospitalised, acutely-ill medical patients, and several VTE risk assessment models (RAM) have been proposed. The purpose of this large retrospective cohort study was to externally validate the IMPROVE RAM using a large database of three acute care hospitals. We studied 41,486 hospitalisations (28,744 unique patients) with 1,240 VTE hospitalisations (1,135 unique patients) in the VTE cohort and 40,246 VTE-free hospitalisations (27,609 unique patients) in the control cohort. After chart review, 139 unique VTE patients were identified and 278 randomly-selected matched patients in the control cohort. Seven independent VTE risk factors as part of the RAM in the derivation cohort were identified. In the validation cohort, the incidence of VTE was 0.20%; 95% confidence interval (CI) 0.18-0.22, 1.04%; 95%CI 0.88-1.25, and 4.15%; 95%CI 2.79-8.12 in the low, moderate, and high VTE risk groups, respectively, which compared to rates of 0.45%, 1.3%, and 4.74% in the three risk categories of the derivation cohort. For the derivation and validation cohorts, the total percentage of patients in low, moderate and high VTE risk occurred in 68.6% vs 63.3%, 24.8% vs 31.1%, and 6.5% vs 5.5%, respectively. Overall, the area under the receiver-operator characteristics curve for the validation cohort was 0.7731. In conclusion, the IMPROVE RAM can accurately identify medical patients at low, moderate, and high VTE risk. This will tailor future thromboprophylactic strategies in this population as well as identify particularly high VTE risk patients in whom multimodal or more intensive prophylaxis may be beneficial.

Entities:  

Keywords:  Venous thromboembolism risk assessment; hospitalised medical patients; prevention; risk assessment models; validation

Mesh:

Substances:

Year:  2014        PMID: 24990708     DOI: 10.1160/TH14-03-0239

Source DB:  PubMed          Journal:  Thromb Haemost        ISSN: 0340-6245            Impact factor:   5.249


  20 in total

Review 1.  Betrixaban for Extended Venous Thromboembolism Prophylaxis in High-Risk Hospitalized Patients: Putting the APEX Results into Practice.

Authors:  Kayla M Miller; Michael J Brenner
Journal:  Drugs       Date:  2019-02       Impact factor: 9.546

Review 2.  A systematic review of mobility/immobility in thromboembolism risk assessment models for hospitalized patients.

Authors:  Fan Ye; Carolyn Stalvey; Matheen A Khuddus; David E Winchester; Hale Z Toklu; Joseph J Mazza; Steven H Yale
Journal:  J Thromb Thrombolysis       Date:  2017-07       Impact factor: 2.300

3.  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

4.  Characterization of Venous Thromboembolism Risk in Medical Inpatients Using Different Clinical Risk Assessment Models.

Authors:  Reza Rafizadeh; Ricky D Turgeon; Josh Batterink; Victoria Su; Anthony Lau
Journal:  Can J Hosp Pharm       Date:  2016-12-23

5.  Prognostic factors for VTE and bleeding in hospitalized medical patients: a systematic review and meta-analysis.

Authors:  Andrea J Darzi; Samer G Karam; Rana Charide; Itziar Etxeandia-Ikobaltzeta; Mary Cushman; Michael K Gould; Lawrence Mbuagbaw; Frederick A Spencer; Alex C Spyropoulos; Michael B Streiff; Scott Woller; Neil A Zakai; Federico Germini; Marta Rigoni; Arnav Agarwal; Rami Z Morsi; Alfonso Iorio; Elie A Akl; Holger J Schünemann
Journal:  Blood       Date:  2020-05-14       Impact factor: 22.113

6.  Risk models for VTE and bleeding in medical inpatients: systematic identification and expert assessment.

Authors:  Andrea J Darzi; Samer G Karam; Frederick A Spencer; Alex C Spyropoulos; Lawrence Mbuagbaw; Scott C Woller; Neil A Zakai; Michael B Streiff; Michael K Gould; Mary Cushman; Rana Charide; Itziar Etxeandia-Ikobaltzeta; Federico Germini; Marta Rigoni; Arnav Agarwal; Rami Z Morsi; Elie A Akl; Alfonso Iorio; Holger J Schünemann
Journal:  Blood Adv       Date:  2020-06-23

7.  Overuse of Primary Thromboprophylaxis in Medical Inpatients at Low Risk of Venous Thromboembolism.

Authors:  Mia Djulbegovic; Kevin Chen; Soundari Sureshanand; Sarwat Chaudhry
Journal:  J Gen Intern Med       Date:  2021-01-19       Impact factor: 6.473

8.  External validation of the risk assessment model of the International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) for medical patients in a tertiary health system.

Authors:  David Rosenberg; Ann Eichorn; Mauricio Alarcon; Lauren McCullagh; Thomas McGinn; Alex C Spyropoulos
Journal:  J Am Heart Assoc       Date:  2014-11-17       Impact factor: 5.501

9.  Post-discharge thrombosis and bleeding in medical patients: A novel risk score derived from ubiquitous biomarkers.

Authors:  Scott C Woller; Scott M Stevens; Masarret Fazili; James F Lloyd; Emily L Wilson; Gregory L Snow; Joseph R Bledsoe; Benjamin D Horne
Journal:  Res Pract Thromb Haemost       Date:  2021-07-07

10.  Electronic alerts, comparative practitioner metrics, and education improve thromboprophylaxis and reduce venous thrombosis in community hospitals.

Authors:  Scott C Woller; Scott M Stevens; R Scott Evans; Daniel Wray; John Christensen; Valerie T Aston; Matthew Wayne; James F Lloyd; Emily L Wilson; C Gregory Elliott
Journal:  Res Pract Thromb Haemost       Date:  2018-06-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.