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All issues Volume 44 / No 1 (March 2012) J Extra Corpor Technol, 44 1 (2012) 26-33 References
Free Access
Issue
J Extra Corpor Technol
Volume 44, Number 1, March 2012
Page(s) 26 - 33
DOI https://doi.org/10.1051/ject/201244026
Published online 15 March 2012
  1. Newland R, Baker RA, Stanley R, Place K, Willcox TW. The Perfusion Downunder Collaborative Database project. J Extra Corpor Technol. 2008;40:159–165. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  2. Reid CM, Rockell M, Skillington PD, Shardey GC, Smith JA. Initial twelve months experience and analysis for 2001–2002 from the Australian Society of Cardiac and Thoracic Surgeons – Victorian Database Project. Heart Lung Circ. 2004;13:291–297. [CrossRef] [Google Scholar]
  3. Reid C, Billah B, Dinh D, et al. An Australian risk prediction model for 30-day mortality after isolated coronary artery bypass: The AusSCORE. J Thorac Cardiovasc Surg. 2009;138:904–910. [CrossRef] [Google Scholar]
  4. Ariyaratne TV, Billah B, Yap CH, et al. An Australian risk prediction model for determining early mortality following aortic valve replacement. Eur J Cardiothorac Surg. 2011;39:815–821. [CrossRef] [Google Scholar]
  5. Weissman NW, Allison JJ, Kiefe CI, et al. Achievable benchmarks of care: The ABC’s of benchmarking. J Eval Clin Pract. 1999;5:269–281. [CrossRef] [PubMed] [Google Scholar]
  6. Center for Outcomes and Effectiveness Research and Education Achievable Benchmarks of Care (ABC™) user manual. Available at: http://main.uab.edu/show.asp?durki=14527. Accessed February 12, 2012. [Google Scholar]
  7. Mainz J. Defining and classifying clinical indicators for quality improvement. Int J Qual Health Care. 2003;15:523–530. [CrossRef] [PubMed] [Google Scholar]
  8. Dinh DT, Tran L, Chand V, et al. on behalf of the Australasian Society of Cardiac and Thoracic Surgeons (ASCTS) Victorian Cardiac Surgery Database Project Steering Committee. Cardiac surgery in Victorian public hospitals, 2009–10 Public report. Department of Health, Melbourne, Victoria. [Google Scholar]
  9. Shann KG, Likosky DS, Murkin JM, et al. An evidence based review of the practice of cardiopulmonary bypass in adults; a focus on neurological injury, glycemic control, hemodilution, and the inflammatory response. J Thorac Cardiovasc Surg. 2006;132:283–290. [CrossRef] [Google Scholar]
  10. Lazar HL, McDonnell M, Chipkin SR, et al. The Society of Thoracic Surgeons practice guideline series: Blood glucose management during adult cardiac surgery. Ann Thorac Surg. 2009;87:663–669. [CrossRef] [Google Scholar]
  11. Doenst T, Wijeysundera D, Karkouti K, et al. Hyperglycemia during cardiopulmonary bypass is an independent risk factor for mortality in patients undergoing cardiac surgery. J Thorac Cardiovasc Surg. 2005;130:1144.e1–1144.e8. [CrossRef] [Google Scholar]
  12. Duncan AE, Abd-Elsayed A, Maheshwari A, et al. Role of intraoperative and postoperative blood glucose concentrations in predicting outcomes after cardiac surgery. Anesthesiology. 2010;112:860–871. [CrossRef] [PubMed] [Google Scholar]
  13. DioDato CP, Likosky DS, DeFoe GR, et al. Cardiopulmonary bypass recommendations in adults: The northern New England experience. J Extra Corpor Technol. 2008;40:16–20. [Google Scholar]
  14. Grigore AM, Murray CF, Ramakrishna H, Djaiani G. A core review of temperature regimens and neuroprotection during cardiopulmonary bypass: Does rewarming rate matter? Anesth Analg. 2009;109:1741–1751. [CrossRef] [PubMed] [Google Scholar]
  15. Warren CS, DeFoe GR, Groom RC, et al. Variation in arterial inflow temperature: A regional quality improvement project. J Extra Corpor Technol. 2011;43:58–63. [Google Scholar]
  16. Ottens J, Baker RA, Newland RF, Mazzone A. The future of the perfusion record: Automated data collection vs. manual recording. J Extra Corpor Technol. 2005;37:355–359. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  17. Tuble SC. Perfusion Downunder Collaboration Database-Data quality assurance: Towards a high quality clinical database. J Extra Corpor Technol. 2011;43:P44–P51. [Google Scholar]
  18. Newland RF, Sanderson AJ, Baker RA. Accuracy of temperature measurement in the cardiopulmonary bypass circuit. J Extra Corpor Technol. 2005;37:32–37. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]

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