Literature DB >> 15302792

Is the impact of hospital and surgeon volumes on the in-hospital mortality rate for coronary artery bypass graft surgery limited to patients at high risk?

Chuntao Wu1, Edward L Hannan, Thomas J Ryan, Edward Bennett, Alfred T Culliford, Jeffrey P Gold, O Wayne Isom, Robert H Jones, Barbara McNeil, Eric A Rose, Valavanur A Subramanian.   

Abstract

BACKGROUND: Restriction of volume-based referral for CABG surgery to high-risk patients has been suggested, and earlier studies have reached different conclusions regarding volume-based referral for low-risk patients. METHODS AND
RESULTS: Patients who underwent isolated CABG surgery in New York from 1997 through 1999 (n=57 150) were separated into low-risk and moderate-to-high-risk groups with a predicted probability of in-hospital death of 2% as the cutoff point. The provider volume-mortality relationship was examined for both groups. For annual hospital volume thresholds between 200 and 600 cases, the adjusted ORs of in-hospital mortality for high-volume to low-volume hospitals ranged from 0.45 to 0.77 and were all significant for the low-risk group; for the moderate-to-high-risk group, ORs ranged from 0.62 to 0.91, and most were significant. The number needed to treat at higher-volume hospitals to avoid 1 death was greater for the low-risk group (a range of 114 to 446 versus 37 to 184). As the annual surgeon volume threshold increased from 50 to 150 cases, the ORs for high- to low-volume surgeons increased from 0.43 to 0.74 for the low-risk group; for the moderate-to-high-risk group, ORs ranged from 0.79 to 0.86. Compared with patients treated by surgeons with volumes of <125 in hospitals with volumes of <600, patients treated by higher-volume surgeons in higher-volume hospitals had a significantly lower risk of death; in particular, the OR was 0.52 for the low-risk group.
CONCLUSIONS: For both low-risk and moderate-to-high-risk patients, higher provider volume is associated with lower risk of death.

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Year:  2004        PMID: 15302792     DOI: 10.1161/01.CIR.0000138744.13516.B5

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  7 in total

1.  The complex relationship between center volume and outcome in patients undergoing the Norwood operation.

Authors:  Sara K Pasquali; Jeffrey P Jacobs; Xia He; Christoph P Hornik; Robert D B Jaquiss; Marshall L Jacobs; Sean M O'Brien; Eric D Peterson; Jennifer S Li
Journal:  Ann Thorac Surg       Date:  2011-10-19       Impact factor: 4.330

2.  [Minimum provider volumes in heart surgery].

Authors:  H J Geissler; F Beyersdorf
Journal:  Chirurg       Date:  2007-11       Impact factor: 0.955

3.  Relative impact of surgeon and center volume on early mortality after the Norwood operation.

Authors:  Christoph P Hornik; Xia He; Jeffrey P Jacobs; Jennifer S Li; Robert D B Jaquiss; Marshall L Jacobs; Sean M O'Brien; Karl Welke; Eric D Peterson; Sara K Pasquali
Journal:  Ann Thorac Surg       Date:  2012-04-18       Impact factor: 4.330

4.  The association between hospital volume and processes, outcomes, and costs of care for congestive heart failure.

Authors:  Karen E Joynt; E John Orav; Ashish K Jha
Journal:  Ann Intern Med       Date:  2011-01-18       Impact factor: 25.391

5.  Early efficacy of CABG care delivery in a low procedure-volume community hospital: operative and midterm results.

Authors:  Thomas J Papadimos; Robert H Habib; Anoar Zacharias; Thomas A Schwann; Christopher J Riordan; Samuel J Durham; Aamir Shah
Journal:  BMC Surg       Date:  2005-05-02       Impact factor: 2.102

6.  Optimal surgeon and hospital volume thresholds to reduce mortality and length of stay for CABG.

Authors:  Ying-Yi Chou; Juey-Jen Hwang; Yu-Chi Tung
Journal:  PLoS One       Date:  2021-04-14       Impact factor: 3.240

7.  Diversity, Inclusion, and Equity: Evolution of Race and Ethnicity Considerations for the Cardiology Workforce in the United States of America From 1969 to 2019.

Authors:  Norman C Wang
Journal:  J Am Heart Assoc       Date:  2020-03-24       Impact factor: 5.501

  7 in total

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