Literature DB >> 11565718

Cumulative sum failure analysis of a policy change from on-pump to off-pump coronary artery bypass grafting.

R J Novick1, S A Fox, L W Stitt, S A Swinamer, K R Lehnhardt, R Rayman, W D Boyd.   

Abstract

BACKGROUND: Use of the sequential probability cumulative sum (CUSUM) technique may be more sensitive than standard statistical analyses in detecting a cluster of surgical failures. We applied CUSUM methods to evaluate the learning curve after a policy change by a single surgeon from routine on-pump (cardiopulmonary bypass [CPB]) to off-pump coronary artery bypass grafting (OPCAB).
METHODS: Fifty-five consecutive first-time coronary artery bypass patients (CPB group) were compared with the next 55 patients undergoing an attempt at routine OPCAB using the same coronary stabilizer. The goal in OPCAB patients was to obtain complete revascularization, albeit with a low threshold for conversion to CPB to maximize patient safety during the learning curve. Preoperative patient risk was calculated using previously validated models of the Cardiac Care Network of Ontario. The occurrence of operative mortality and nine predefined major complications (myocardial infarction, bleeding, stroke, renal failure, balloon pump use, mediastinitis, respiratory failure, life-threatening arrhythmia, and sepsis) was compared between the CPB and OPCAB groups using Wilcoxon, Fisher exact, and two-tailed t tests, as well as CUSUM methodology. An intention to treat analysis was performed.
RESULTS: The CPB and OPCAB groups had similar predicted mortality and length of stays (2.2% +/- 2.5%, 8.1 +/- 2.5 days versus 2.4% +/- 3.5%, 8.1 +/- 2.4 days, respectively). The mean number of grafts per patient was 3.1 +/- 0.7 in the CPB group versus 3.0 +/- 0.7 in the OPCAB group (p = 0.45). Two of 55 (3.6%) CPB patients died, as opposed to 1 of 55 (1.8%) OPCAB patients (p = 0.99). Eight of 55 CPB patients (14.5%) incurred major complications, as opposed to 4 of 55 (7.3%) OPCAB patients (p = 0.36). Median hospital length of stay was 6.0 days in the CPB group versus 5.0 days in the OPCAB group (p = 0.28). On CUSUM analysis, the failure curve in CPB patients approached the upper 80% alert line after eight cases, whereas the curve in OPCAB patients reached below the lower 80% (reassurance) boundary 28 cases after the policy change, indicating superior results in the OPCAB group despite the learning curve.
CONCLUSIONS: A policy change from coronary artery bypass on CPB to routinely attempting OPCAB can be accomplished safely despite the learning curve. CUSUM analysis was more sensitive than standard statistical methods in detecting a cluster of surgical failures and successes.

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Year:  2001        PMID: 11565718     DOI: 10.1016/s0003-4975(01)02949-6

Source DB:  PubMed          Journal:  Ann Thorac Surg        ISSN: 0003-4975            Impact factor:   4.330


  11 in total

1.  The new cardiac surgery patient: defying previous expectations.

Authors:  Sandeep K Aggarwal; Stephanie A Fox; Larry Stitt; Bob Kiaii; F Neil McKenzie; Alan H Menkis; Mackenzie A Quantz; Richard J Novick
Journal:  Can J Surg       Date:  2006-04       Impact factor: 2.089

Review 2.  Off-pump coronary artery bypass graft surgery is standard of care: where do you stand?

Authors:  Jean-Francois Légaré; Gregory Hirsch
Journal:  Can J Cardiol       Date:  2006-11       Impact factor: 5.223

Review 3.  Quality control of surgical and interventional procedures: a review of the CUSUM.

Authors:  David J Biau; Mathieu Resche-Rigon; Gaëlle Godiris-Petit; Rémy S Nizard; Raphaël Porcher
Journal:  Qual Saf Health Care       Date:  2007-06

4.  CUSUM analysis of J-pouch surgery reflects no learning curve after board certification.

Authors:  Patrick H D Colquhoun
Journal:  Can J Surg       Date:  2008-08       Impact factor: 2.089

5.  Is obesity a predictor of mortality, morbidity and readmission after cardiac surgery?

Authors:  Marie Antoinette J Rockx; Stephanie A Fox; Larry W Stitt; Kris R Lehnhardt; F Neil McKenzie; Mackenzie A Quantz; Alan H Menkis; Richard J Novick
Journal:  Can J Surg       Date:  2004-02       Impact factor: 2.089

6.  Learning curve of coronary surgery by a cardiac surgeon in Japan with the use of cumulative sum analysis.

Authors:  Min-Ho Song; Kazuyoshi Tajima; Takashi Watanabe; Toshiaki Ito
Journal:  Jpn J Thorac Cardiovasc Surg       Date:  2005-10

Review 7.  Myocardial revascularization without extracorporeal circulation; Why hasn't it convinced yet?

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8.  Quantifying the learning curve of emergent total arch replacement in acute type A aortic dissection.

Authors:  Huan Liu; Shun Liu; Anthony Zaki; Xiuwen Wang; Shuo Cong; Ye Yang; Jun Li; Hao Lai; Yongxin Sun; Lai Wei; Chunsheng Wang
Journal:  J Thorac Dis       Date:  2020-08       Impact factor: 2.895

9.  Six-year single-centre experience in minimally invasive mitral valve repair - impact of the team learning curve on in-hospital clinical outcome.

Authors:  Witold Gerber; Krzysztof Sanetra; Małgorzata Kuczera; Krzysztof Białek; Marian Zembala; Marek Cisowski
Journal:  Kardiochir Torakochirurgia Pol       Date:  2019-04-04

10.  Cardiac-Referenced Leukocyte Telomere Length and Outcomes After Cardiovascular Surgery.

Authors:  Hao Yin; Oula Akawi; Stephanie A Fox; Fuyan Li; Caroline O'Neil; Brittany Balint; John-Michael Arpino; Alanna Watson; Jorge Wong; Linrui Guo; MacKenzie A Quantz; A Dave Nagpal; Bob Kiaii; Michael W A Chu; J Geoffrey Pickering
Journal:  JACC Basic Transl Sci       Date:  2018-11-12
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