Literature DB >> 26385027

The design and implementation of a new surveillance system for venous thromboembolism using combined active and passive methods.

Aaron M Wendelboe1, Janis Campbell2, Micah McCumber2, Dale Bratzler2, Kai Ding2, Michele Beckman3, Nimia Reyes3, Gary Raskob2.   

Abstract

Estimates of venous thromboembolism (VTE) incidence in the United States are limited by lack of a national surveillance system. We implemented a population-based surveillance system in Oklahoma County, OK, for April 1, 2012 to March 31, 2014, to estimate the incidences of first-time and recurrent VTE events, VTE-related mortality, and the proportion of case patients with provoked versus unprovoked VTE. The Commissioner of Health made VTE a reportable condition and delegated surveillance-related responsibilities to the University of Oklahoma, College of Public Health. The surveillance system included active and passive methods. Active surveillance involved reviewing imaging studies (such as chest computed tomography and compression ultrasounds) from all inpatient and outpatient facilities. Interrater agreement between surveillance officers collecting data was assessed using κ. Passive surveillance used International Classification of Disease, Ninth Revision (ICD-9) codes from hospital discharge data to identify cases. The sensitivity and specificity of various ICD-9-based case definitions will be assessed by comparison with cases identified through active surveillance. As of February 1, 2015, we screened 54,494 (99.5%) of the imaging studies and identified 2,725 case patients, of which 91.6% were from inpatient facilities, and 8.4% were from outpatient facilities. Agreement between surveillance officers was high (κ ≥0.61 for 93.2% of variables). Agreement for the diagnosis of pulmonary embolism and diagnosis of deep vein thrombosis was κ = 0.92 (95% CI 0.74-1.00) and κ = 0.89 (95% CI 0.71-1.00), respectively. This surveillance system will provide data on the accuracy of ICD-9-based case definitions for surveillance of VTE events and help the Centers for Disease Control and Prevention develop a national VTE surveillance system.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26385027      PMCID: PMC4598067          DOI: 10.1016/j.ahj.2015.06.004

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  12 in total

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Authors:  Gary E Raskob; Roy Silverstein; Dale W Bratzler; John A Heit; Richard H White
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5.  Venous thromboembolism in adult hospitalizations - United States, 2007-2009.

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Journal:  MMWR Morb Mortal Wkly Rep       Date:  2012-06-08       Impact factor: 17.586

6.  How valid is the ICD-9-CM based AHRQ patient safety indicator for postoperative venous thromboembolism?

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Authors:  Philip S Wells; Melissa A Forgie; Marc A Rodger
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8.  HIPAA privacy rule and public health. Guidance from CDC and the U.S. Department of Health and Human Services.

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9.  Outpatient or inpatient treatment for acute pulmonary embolism: a retrospective cohort study of 439 consecutive patients.

Authors:  Sebastian Werth; Virginia Kamvissi; Thoralf Stange; Eberhard Kuhlisch; Norbert Weiss; Jan Beyer-Westendorf
Journal:  J Thromb Thrombolysis       Date:  2015-07       Impact factor: 2.300

10.  Cost-effectiveness of rivaroxaban versus warfarin anticoagulation for the prevention of recurrent venous thromboembolism: a U.S. perspective.

Authors:  Craig D Seaman; Kenneth J Smith; Margaret V Ragni
Journal:  Thromb Res       Date:  2013-09-20       Impact factor: 3.944

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  5 in total

1.  Design and Implementation of a Comprehensive Surveillance System for Venous Thromboembolism in a Defined Region Using Electronic and Manual Approaches.

Authors:  Thomas L Ortel; Katie Arnold; Michele Beckman; Audrey Brown; Nimia Reyes; Ibrahim Saber; Ryan Schulteis; Bhavana Pendurthi Singh; Andrea Sitlinger; Elizabeth H Thames
Journal:  Appl Clin Inform       Date:  2019-07-31       Impact factor: 2.342

Review 2.  The economic burden of incident venous thromboembolism in the United States: A review of estimated attributable healthcare costs.

Authors:  Scott D Grosse; Richard E Nelson; Kwame A Nyarko; Lisa C Richardson; Gary E Raskob
Journal:  Thromb Res       Date:  2015-11-24       Impact factor: 3.944

3.  Interaction of a genetic risk score with physical activity, physical inactivity, and body mass index in relation to venous thromboembolism risk.

Authors:  Jihye Kim; Peter Kraft; Kaitlin A Hagan; Laura B Harrington; Sara Lindstroem; Christopher Kabrhel
Journal:  Genet Epidemiol       Date:  2018-03-08       Impact factor: 2.135

4.  Diagnostic accuracy of ICD-9 code 780.2 for the identification of patients with syncope in the emergency department.

Authors:  Ludovico Furlan; Monica Solbiati; Veronica Pacetti; Franca Dipaola; Martino Meda; Mattia Bonzi; Elisa Fiorelli; Giulia Cernuschi; Daniele Alberio; Giovanni Casazza; Nicola Montano; Raffaello Furlan; Giorgio Costantino
Journal:  Clin Auton Res       Date:  2018-02-12       Impact factor: 4.435

5.  Incidence of Venous Thromboembolism in a Racially Diverse Population of Oklahoma County, Oklahoma.

Authors:  Aaron M Wendelboe; Janis Campbell; Kai Ding; Dale W Bratzler; Michele G Beckman; Nimia L Reyes; Gary E Raskob
Journal:  Thromb Haemost       Date:  2021-01-10       Impact factor: 5.249

  5 in total

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