Literature DB >> 21346972

Computer surveillance of patients at high risk for and with venous thromboembolism.

R Scott Evans1, James F Lloyd, Valerie T Aston, Scott C Woller, Jacob S Tripp, C Greg Elliott, Scott M Stevens.   

Abstract

Venous thromboembolism (VTE), including deep vein thrombosis (DVT) and pulmonary embolism (PE), may be the number one preventable cause of death associated with hospitalization. Numerous evidence-based guidelines for effective VTE prophylaxis therapy exist. However, underuse is common due to the difficulty in integrating VTE risk assessment into routine patient care. Previous studies utilizing computer decision support to identify high-risk patients report improved use of prophylaxis therapy and reduced VTE. However, those studies did not report the sensitivity, specificity or positive predictive value of their methods to identify patients at high risk. We report an evaluation of a computerized tool to identify patients at high risk for VTE that found a sensitivity of 98% and positive predictive value of 99%. Another computer program used to detect VTE had a sensitivity of 92%, specificity of 99% and a positive predictive value of 97% to identify DVT and a sensitivity of 100%, specificity of 98% and positive predictive value of 89% to identify PE. These tools were found to provide a dependable method to identify patients at high risk for and with VTE.

Entities:  

Mesh:

Year:  2010        PMID: 21346972      PMCID: PMC3041332     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  20 in total

1.  A clinical decision support system for prevention of venous thromboembolism: effect on physician behavior.

Authors:  P Durieux; R Nizard; P Ravaud; N Mounier; E Lepage
Journal:  JAMA       Date:  2000-06-07       Impact factor: 56.272

2.  A computerized reminder system to increase the use of preventive care for hospitalized patients.

Authors:  P R Dexter; S Perkins; J M Overhage; K Maharry; R B Kohler; C J McDonald
Journal:  N Engl J Med       Date:  2001-09-27       Impact factor: 91.245

3.  Electronic alerts to prevent venous thromboembolism among hospitalized patients.

Authors:  Nils Kucher; Sophia Koo; Rene Quiroz; Joshua M Cooper; Marilyn D Paterno; Boris Soukonnikov; Samuel Z Goldhaber
Journal:  N Engl J Med       Date:  2005-03-10       Impact factor: 91.245

4.  Computer identification of symptomatic deep venous thrombosis associated with peripherally inserted venous catheters.

Authors:  R Scott Evans; Lorraine H Linford; Jamie H Sharp; Gayle White; James F Lloyd; Lindell K Weaver
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

5.  A decision-tree model to estimate the impact on cost-effectiveness of a venous thromboembolism prophylaxis guideline.

Authors:  A Ferrando; E Pagano; L Scaglione; M Petrinco; D Gregori; G Ciccone
Journal:  Qual Saf Health Care       Date:  2009-08

6.  Physician alerts to prevent symptomatic venous thromboembolism in hospitalized patients.

Authors:  Gregory Piazza; Erin J Rosenbaum; William Pendergast; Joseph O Jacobson; Robert C Pendleton; Gordon D McLaren; C Gregory Elliott; Scott M Stevens; William F Patton; Ousama Dabbagh; Marilyn D Paterno; Elaine Catapane; Zhongzhen Li; Samuel Z Goldhaber
Journal:  Circulation       Date:  2009-04-13       Impact factor: 29.690

7.  Long-term complications of medical patients with hospital-acquired venous thromboembolism.

Authors:  John Fanikos; Gregory Piazza; Maksim Zayaruzny; Samuel Z Goldhaber
Journal:  Thromb Haemost       Date:  2009-10       Impact factor: 5.249

8.  Venous thromboembolism risk and prophylaxis in the acute hospital care setting (ENDORSE study): a multinational cross-sectional study.

Authors:  Alexander T Cohen; Victor F Tapson; Jean-Francois Bergmann; Samuel Z Goldhaber; Ajay K Kakkar; Bruno Deslandes; Wei Huang; Maksim Zayaruzny; Leigh Emery; Frederick A Anderson
Journal:  Lancet       Date:  2008-02-02       Impact factor: 79.321

9.  Prevalence of deep vein thrombosis (DVT) in non-surgical patients at hospital admission.

Authors:  Holger Lawall; Wibke Hoffmanns; Phillip Hoffmanns; Uli Rapp; Michael Ames; Alessandro Pira; W Dieter Paar; Peter Bramlage; Curt Diehm
Journal:  Thromb Haemost       Date:  2007-10       Impact factor: 5.249

10.  Physician compliance with advanced electronic alerts for preventing venous thromboembolism among hospitalized medical patients.

Authors:  N Kucher; M Puck; J Blaser; G Bucklar; E Eschmann; T F Lüscher
Journal:  J Thromb Haemost       Date:  2009-06-09       Impact factor: 5.824

View more
  10 in total

1.  Learning to predict post-hospitalization VTE risk from EHR data.

Authors:  Emily Kawaler; Alexander Cobian; Peggy Peissig; Deanna Cross; Steve Yale; Mark Craven
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

2.  Predicting postdischarge hospital-associated venous thromboembolism among medical patients using a validated mortality risk score derived from common biomarkers.

Authors:  Lindsey Snyder; Scott M Stevens; Masarret Fazili; Emily L Wilson; James F Lloyd; Benjamin D Horne; Joseph Bledsoe; Scott C Woller
Journal:  Res Pract Thromb Haemost       Date:  2020-05-20

3.  Exploring the frontier of electronic health record surveillance: the case of postoperative complications.

Authors:  Fern FitzHenry; Harvey J Murff; Michael E Matheny; Nancy Gentry; Elliot M Fielstein; Steven H Brown; Ruth M Reeves; Dominik Aronsky; Peter L Elkin; Vincent P Messina; Theodore Speroff
Journal:  Med Care       Date:  2013-06       Impact factor: 2.983

4.  Derivation of a risk assessment model for hospital-acquired venous thrombosis: the NAVAL score.

Authors:  Marcos de Bastos; Sandhi M Barreto; Jackson S Caiafa; Tânia Boguchi; José Luiz Padilha Silva; Suely M Rezende
Journal:  J Thromb Thrombolysis       Date:  2016-05       Impact factor: 2.300

5.  Clinical use of an enterprise data warehouse.

Authors:  R Scott Evans; James F Lloyd; Lee A Pierce
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

6.  Apixaban for Routine Management of Upper Extremity Deep Venous Thrombosis (ARM-DVT): Methods of a prospective single-arm management study.

Authors:  Scott C Woller; Scott M Stevens; Stacy A Johnson; Joseph R Bledsoe; Brian Galovic; James F Lloyd; Emily L Wilson; Brent Armbruster; R Scott Evans
Journal:  Res Pract Thromb Haemost       Date:  2019-05-13

7.  Natural Language Processing Performance for the Identification of Venous Thromboembolism in an Integrated Healthcare System.

Authors:  Bela Woller; Austin Daw; Valerie Aston; Jim Lloyd; Greg Snow; Scott M Stevens; Scott C Woller; Peter Jones; Joseph Bledsoe
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

8.  Biomarker derived risk scores predict venous thromboembolism and major bleeding among patients with COVID-19.

Authors:  Scott C Woller; Scott M Stevens; Joseph R Bledsoe; Masarret Fazili; James F Lloyd; Greg L Snow; Benjamin D Horne
Journal:  Res Pract Thromb Haemost       Date:  2022-07-21

9.  Synoptic reporting accuracy for computed tomography pulmonary arteriography among patients suspected of pulmonary embolism.

Authors:  Isabela A Woller; Scott C Woller; Scott M Stevens; James F Lloyd; Karen E Conner; Benjamin H Gordon; Greg L Snow; Peter Jones; Joseph R Bledsoe
Journal:  J Am Coll Emerg Physicians Open       Date:  2022-10-03

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
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.