Mangano D, Siliciano D, Hollenberg M, Leung J, Browner W. Postoperative myocardial ischemia. Therapeutic trials using intensive analgesia following surgery. The Study of Perioperative Ischemia (SPI) Research Group. Anesthesiology 1992; 76: 342–53.
Article CAS PubMed Google Scholar
White PF, Kehlet H, Neal JM, et al. The role of the anesthesiologist in fast-track surgery: From multimodal analgesia to perioperative medical care. Anesth Analg 2007;104:1380–96. https://doi.org/10.1213/01.ane.0000263034.96885.e1
Zubrzycki M, Liebold A, Skrabal C, et al. Assessment and pathophysiology of pain in cardiac surgery. J Pain Res 2018;11:1599–611. https://doi.org/10.2147/jpr.s162067
Article PubMed PubMed Central Google Scholar
Wick EC, Grant MC, Wu CL. Postoperative multimodal analgesia pain management with nonopioid analgesics and techniques: a review. JAMA Surg 2017;152:691–7. https://doi.org/10.1001/jamasurg.2017.0898
Engelman DT, Ben Ali W, Williams JB, et al. Guidelines for perioperative care in cardiac surgery: Enhanced Recovery after Surgery Society recommendations. JAMA Surg 2019;154:755–66. https://doi.org/10.1001/jamasurg.2019.1153
Chang RW, Tompkins DM, Cohn SM. Are NSAIDs safe? Assessing the risk-benefit profile of nonsteroidal anti-inflammatory drug use in postoperative pain management. Am Surg 2021;87:872–9. https://doi.org/10.1177/0003134820952834
Huerta C, Castellsague J, Varas-Lorenzo C, García Rodríguez LA. Nonsteroidal anti-inflammatory drugs and risk of ARF in the general population. Am J Kidney Dis 2005;45:531–9. https://doi.org/10.1053/j.ajkd.2004.12.005
Article CAS PubMed Google Scholar
Maxwell SR, Payne RA, Murray GD, Webb DJ. Selectivity of NSAIDs for COX-2 and cardiovascular outcome. Br J Clin Pharmacol 2006;62:243–5. https://doi.org/10.1111/j.1365-2125.2006.02620.x
Article CAS PubMed PubMed Central Google Scholar
Angiolillo DJ, Weisman SM. Clinical pharmacology and cardiovascular safety of naproxen. Am J Cardiovasc Drugs 2017;17:97–107. https://doi.org/10.1007/s40256-016-0200-5
Article CAS PubMed Google Scholar
U.S. Food and Drug Administration. Memorandum: Analysis and recommendations for Agency action regarding non-steroidal anti-inflammatory drugs and cardiovascular risk; 2005. Available from URL: https://www.fda.gov/media/74279/download (accessed December 2024).
Ott E, Nussmeier NA, Duke PC, et al. Efficacy and safety of the cyclooxygenase 2 inhibitors parecoxib and valdecoxib in patients undergoing coronary artery bypass surgery. J Thorac Cardiovasc Surg 2003;125:1481–92. https://doi.org/10.1016/s0022-5223(03)00125-9
Article CAS PubMed Google Scholar
Nussmeier NA, Whelton AA, Brown MT, et al. Complications of the COX-2 inhibitors parecoxib and valdecoxib after cardiac surgery. N Engl J Med 2005;352:1081–91. https://doi.org/10.1056/nejmoa050330
Article CAS PubMed Google Scholar
FDA U.S. Food and Drug Administration. FDA strengthens warning that non-aspirin nonsteroidal anti- inflammatory drugs (NSAIDs) can cause heart attacks or strokes; 2015. Available from URL: https://www.fda.gov/downloads/Drugs/DrugSafety/UCM453941.pdf (accessed December 2024).
Hynninen MS, Cheng DC, Hossain I, et al. Non-steroidal anti-inflammatory drugs in treatment of postoperative pain after cardiac surgery. Can J Anesth 2000;47:1182–7. https://doi.org/10.1007/BF03019866
Article CAS PubMed Google Scholar
Kulik A, Bykov K, Choudhry NK, Bateman BT. Non-steroidal anti-inflammatory drug administration after coronary artery bypass surgery: utilization persists despite the boxed warning. Pharmacoepidemiol Drug Saf 2015;24:647–53. https://doi.org/10.1002/pds.3788
Article CAS PubMed Google Scholar
Qazi SM, Sindby EJ, Nørgaard MA. Ibuprofen—a safe analgesic during cardiac surgery recovery? A randomized controlled trial. J Cardiovasc Thorac Res 2015;7: 141–8. https://doi.org/10.15171/jcvtr.2015.31
Article PubMed PubMed Central Google Scholar
Oliveri L, Jerzewski K, Kulik A. Black box warning: is ketorolac safe for use after cardiac surgery? J Cardiothorac Vasc Anesth 2014;28:274–9.https://doi.org/10.1053/j.jvca.2013.07.014
Article CAS PubMed Google Scholar
de Souza Brito F, Mehta RH, Lopes RD, et al. Nonsteroidal anti-inflammatory drugs and clinical outcomes in patients undergoing coronary artery bypass surgery. Am J Med 2017;130:462–8. https://doi.org/10.1016/j.amjmed.2016.10.023
von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol 2008;61:344–9. https://doi.org/10.1016/j.jclinepi.2007.11.008
Mehran R, Rao SV, Bhatt DL,et al. Standardized bleeding definitions for cardiovascular clinical trials: a consensus report from the Bleeding Academic Research Consortium. Circulation 2011;123:2736–47. https://doi.org/10.1161/circulationaha.110.009449
Lopes JA, Jorge S. The RIFLE and AKIN classifications for acute kidney injury: a critical and comprehensive review. Clin Kidney J 2013;6:8–14. https://doi.org/10.1093/ckj/sfs160
Gilbert EH, Lowenstein SR, Koziol-McLain J, Barta DC, Steiner J. Chart reviews in emergency medicine research: where are the methods? Ann Emerg Med 1996;27:305–8. https://doi.org/10.1016/s0196-0644(96)70264-0
Article CAS PubMed Google Scholar
Worster A, Bledsoe RD, Cleve P, Fernandes CM, Upadhye S, Eva K. Reassessing the methods of medical record review studies in emergency medicine research. Ann Emerg Med 2005;45:448–51. https://doi.org/10.1016/j.annemergmed.2004.11.021
Kowarik A, Templ M. Imputation with the R package VIM. J Stat Softw 2016;74: 1–16. https://doi.org/10.18637/jss.v074.i07
Kursa MB, Rudnicki WR. Feature selection with the boruta package. J Stat Softw 2010;36:1–13. https://doi.org/10.18637/jss.v036.i11
Lewis MJ, Spiliopoulou A, Goldmann K, Pitzalis C, McKeigue P, Barnes MR. nestedcv: an R package for fast implementation of nested cross-validation with embedded feature selection designed for transcriptomics and high-dimensional data. Bioinforma Adv 2023;3: vbad048. https://doi.org/10.1093/bioadv/vbad048
Huang C, Li SX, Caraballo C, et al. Performance metrics for the comparative analysis of clinical risk prediction models employing machine learning. Circ Cardiovasc Qual Outcomes 2021;14:E007526. https://doi.org/10.1161/circoutcomes.120.007526
Rozemberczki B, Watson L, Bayer P, et al. The Shapley value in machine learning. Int Jt Conf Artif Intell 2022;https://doi.org/10.48550/arXiv.2202.05594
Mehaffey JH, Hayanga JW, Kawsara M, et al. Contemporary coronary artery bypass grafting vs multivessel percutaneous coronary intervention. Ann Thorac Surg2023;116:1213–20. https://doi.org/10.1016/j.athoracsur.2023.05.032
Article PubMed PubMed Central Google Scholar
Bastin AJ, Ostermann M, Slack AJ, Diller GP, Finney SJ, Evans TW. Acute kidney injury after cardiac surgery according to Risk/Injury/Failure/Loss/End-stage, Acute Kidney Injury Network, and Kidney Disease: Improving Global Outcomes classifications. J Crit Care 2013;28:389–96. https://doi.org/10.1016/j.jcrc.2012.12.008
Yokoyama Y, Chaitman BR, Hardison RM, et al. Association between new electrocardiographic abnormalities after coronary revascularization and five-year cardiac mortality in BARI randomized and registry patients. Am J Cardiol 2000;86:819–24. https://doi.org/10.1016/s0002-9149(00)01099-7
Article CAS PubMed Google Scholar
Woodman R, Harker L. Bleeding complications associated with cardiopulmonary bypass. Blood 1990;76:1680–97. https://doi.org/10.1182/blood.V76.9.1680.1680
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