Literature DB >> 29330739

Patterns and outcomes of prescribing venous thromboembolism prophylaxis in hospitalized older adults: a retrospective cohort study.

Mark Goldin1,2, Jessica Cohen3,4, Alex Makhnevich1,2, Colm Mulvany1,5, Meredith Akerman5, Liron Sinvani1,2.   

Abstract

Venous thromboembolism (VTE) is a major cause of morbidity and mortality in the United States. Hospitalized, medically ill older adults have increased risk; despite guidelines, data suggest suboptimal pharmacologic prophylaxis rates. Factors influencing provider prescribing non-compliance are unclear. We aimed to describe VTE prophylaxis practices and identify risk factors for, and outcomes of, prescribing non-compliance. A retrospective study was conducted of hospitalized adults aged ≥ 75 years, admitted to the medicine service of a large academic tertiary center from May 1, 2014 to June 30, 2015. The primary outcome was non-compliance, defined as the absence of an order for VTE prophylaxis for the duration of hospitalization or an interruption of prophylaxis exceeding 24 h. Secondary measures included in-hospital mortality, length of stay (LOS), and 30-day readmissions. Of 3751 patients (mean age 84.7 years), 97.6% of charts had prophylaxis orders; 11.0% showed non-compliance. Pharmacologic prophylaxis was prescribed in 83.3% of patients and mechanical prophylaxis alone in 14.3%. Factors associated with non-compliance included: higher body mass index (BMI) (p = 0.04), myocardial infarction (p = 0.01), congestive heart failure (p = 0.001), metastatic tumor (p = 0.01). Low mobility was not significantly associated with compliance. Subcutaneous unfractionated heparin was associated with compliance (p < 0.0001); warfarin (p < 0.0001), heparin infusion (p < 0.0001) and low-molecular-weight heparin (p < 0.0001) with non-compliance. Non-compliance was associated with increased mortality (p = 0.01), LOS (p < 0.0001), readmissions (p = 0.0004). Known VTE risk factors (mobility, BMI, comorbidities) were not associated with prescriber compliance patterns. Integrating risk assessment models into provider practice may improve compliance.

Entities:  

Keywords:  Prescribing patterns; Prophylaxis; Venous thromboembolism

Mesh:

Substances:

Year:  2018        PMID: 29330739     DOI: 10.1007/s11239-018-1611-8

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


  22 in total

1.  Identifying acutely ill medical patients requiring thromboprophylaxis.

Authors:  P Chopard; D Spirk; H Bounameaux
Journal:  J Thromb Haemost       Date:  2006-04       Impact factor: 5.824

2.  Meta-analysis: anticoagulant prophylaxis to prevent symptomatic venous thromboembolism in hospitalized medical patients.

Authors:  Francesco Dentali; James D Douketis; Monica Gianni; Wendy Lim; Mark A Crowther
Journal:  Ann Intern Med       Date:  2007-02-20       Impact factor: 25.391

3.  Efficacy and safety of fondaparinux for the prevention of venous thromboembolism in older acute medical patients: randomised placebo controlled trial.

Authors:  Alexander T Cohen; Bruce L Davidson; Alexander S Gallus; Michael R Lassen; Martin H Prins; Witold Tomkowski; Alexander G G Turpie; Jan F M Egberts; Anthonie W A Lensing
Journal:  BMJ       Date:  2006-01-26

4.  Low-molecular-weight heparin and mortality in acutely ill medical patients.

Authors:  Ajay K Kakkar; Claudio Cimminiello; Samuel Z Goldhaber; Rajiv Parakh; Chen Wang; Jean-François Bergmann
Journal:  N Engl J Med       Date:  2011-12-29       Impact factor: 91.245

5.  Reduction of mortality in general medical in-patients by low-dose heparin prophylaxis.

Authors:  H Halkin; J Goldberg; M Modan; B Modan
Journal:  Ann Intern Med       Date:  1982-05       Impact factor: 25.391

6.  A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score.

Authors:  S Barbar; F Noventa; V Rossetto; A Ferrari; B Brandolin; M Perlati; E De Bon; D Tormene; A Pagnan; P Prandoni
Journal:  J Thromb Haemost       Date:  2010-11       Impact factor: 5.824

7.  Predictive and associative models to identify hospitalized medical patients at risk for VTE.

Authors:  Alex C Spyropoulos; Frederick A Anderson; Gordon FitzGerald; Herve Decousus; Mario Pini; Beng H Chong; Rainer B Zotz; Jean-François Bergmann; Victor Tapson; James B Froehlich; Manuel Monreal; Geno J Merli; Ricardo Pavanello; Alexander G G Turpie; Mashio Nakamura; Franco Piovella; Ajay K Kakkar; Frederick A Spencer
Journal:  Chest       Date:  2011-03-24       Impact factor: 9.410

8.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

9.  Prevalence and outcomes of low mobility in hospitalized older patients.

Authors:  Cynthia J Brown; Rebecca J Friedkin; Sharon K Inouye
Journal:  J Am Geriatr Soc       Date:  2004-08       Impact factor: 5.562

Review 10.  The epidemiology of venous thromboembolism.

Authors:  John A Heit; Frederick A Spencer; Richard H White
Journal:  J Thromb Thrombolysis       Date:  2016-01       Impact factor: 2.300

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  1 in total

1.  Underuse of medical thromboprophylaxis in mobile elderly inpatients: The SWITCO65+ cohort.

Authors:  Marc Blondon; Andreas Limacher; Marc Righini; Drahomir Aujesky; Marie Méan
Journal:  Res Pract Thromb Haemost       Date:  2020-11-06
  1 in total

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