Literature DB >> 16545790

Decreased patient charges following implementation of point-of-care cardiac troponin monitoring in acute coronary syndrome patients in a community hospital cardiology unit.

Fred S Apple1, Adrine Y Chung, Mary Ellen Kogut, Susan Bubany, Maryann M Murakami.   

Abstract

BACKGROUND: The need to rapidly evaluate patients presenting to emergency departments and cardiology services for ruling in and ruling out acute myocardial infarction (AMI) is widely recognized as a clinical challenge. We determined the impact of incorporating point-of-care (POC) cardiac troponin I (cTnI) testing into a cardiology service regarding assay turn around time (TAT), patient length of stay (LOS), financial matrixes and patient outcomes compared to central laboratory cTnI testing.
METHODS: Patients presenting with symptoms suggestive of acute coronary syndrome (ACS) were enrolled pre-POC (PreCS, n=271) and post-POC (PostCS, n=274). POC cTnI determinations were performed at the bedside on the Dade Behring Stratus CS by nursing staff. Routine cTnI determinations were performed in the central laboratory (Dade Behring Dimension) by laboratory staff. Data were collected and analyzed on each patient per hospital stay by review of electronic medical and financial records. In addition, risk stratification outcomes for all cause death were determined at 30 days and 1 y following baseline sampling based on the 99th percentile cutoff concentrations of <0.1 microg/l for both assays.
RESULTS: There was a decrease in time from blood draw to result to healthcare provider (PreCS mean 76 min; PostCS mean 19.5 min; p<0.001) as well as a decrease trend in charge per patient admission (4281 dollars savings) following implementation of POC testing. Total charges per patient admission decreased by 25% PostCS vs. PreCS (17,163 dollars vs. 12,882 dollars); a composite of lower charges for: boarding (-21%), other departments (-58%), pharmacy (-28%), labs (-22%), non-cardiac procedures (-28%), cardiac procedures (-14%). The mean LOS also decreased 8% (p=0.05) from PreCS (2.36 days) to PostCS (2.19 days). cTnI reagents charges to the laboratory were higher for the POC assay, 10.54 dollars, vs. the central lab assay, 3.83 dollars. One year survival was greater in the <0.1 microg/l patients (PreCS 96.2%, PostCS 97.2%) compared to the >0.1 microg/l patients (PreCS 77.7%, PostCS 75.5%); both p<0.001. Kaplan-Meier survival curves showed early separation by 30 days in each group.
CONCLUSIONS: Our study demonstrates the cost effectiveness and clinical effectiveness of implementation of POC whole blood, cTnI testing for assisting clinicians with diagnostic and risk assessment of ACS patients.

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Year:  2006        PMID: 16545790     DOI: 10.1016/j.cca.2006.02.011

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  7 in total

Review 1.  The Evidence to Support Point-of-Care Testing.

Authors:  Andrew St John
Journal:  Clin Biochem Rev       Date:  2010-08

Review 2.  Economic Evidence and Point-of-Care Testing.

Authors:  Andrew St John; Christopher P Price
Journal:  Clin Biochem Rev       Date:  2013-08

Review 3.  Effectiveness of practices for improving the diagnostic accuracy of Non ST Elevation Myocardial Infarction in the Emergency Department: A Laboratory Medicine Best Practices™ systematic review.

Authors:  Christopher Layfield; John Rose; Aaron Alford; Susan R Snyder; Fred S Apple; Farah M Chowdhury; Michael C Kontos; L Kristin Newby; Alan B Storrow; Milenko Tanasijevic; Elizabeth Leibach; Edward B Liebow; Robert H Christenson
Journal:  Clin Biochem       Date:  2015-02-07       Impact factor: 3.281

4.  The usage patterns of cardiac bedside markers employing point-of-care testing for troponin in non-ST-segment elevation acute coronary syndrome: results from CRUSADE.

Authors:  Kevin M Takakuwa; Fang-Shu Ou; Eric D Peterson; Charles V Pollack; W Frank Peacock; James W Hoekstra; E Magnus Ohman; W Brian Gibler; Andra L Blomkalns; Matthew T Roe
Journal:  Clin Cardiol       Date:  2009-09       Impact factor: 2.882

5.  Point-of-care testing in the overcrowded emergency department--can it make a difference?

Authors:  Kevin D Rooney; Ulf Martin Schilling
Journal:  Crit Care       Date:  2014-12-08       Impact factor: 9.097

Review 6.  Review of Health Economics of Point-of-Care Testing Worldwide and Its Efficacy of Implementation in the Primary Health Care Setting in Remote Australia.

Authors:  Hoi Yan Wong; Loredana G Marcu; Eva Bezak; Nayana Anupam Parange
Journal:  Risk Manag Healthc Policy       Date:  2020-05-06

7.  An Evaluation of Laboratory Efficiency in Shanghai Emergency by Turn Around Times Level.

Authors:  Yiming Lu; Waiian Leong; Bohua Wei; Ping Yu; Cuicui Wang; Yilin Ying; Tingsong Wang; Jianjing Tong; Dingliang Zhu; Jing Ye
Journal:  J Clin Lab Anal       Date:  2014-08-17       Impact factor: 2.352

  7 in total

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