Free Access
Editorial
Issue |
J Extra Corpor Technol
Volume 47, Number 1, March 2015
|
|
---|---|---|
Page(s) | 5 - 9 | |
DOI | https://doi.org/10.1051/ject/201547005 | |
Published online | 15 March 2015 |
- Levy MM, Fink MP, Marshall JC, et al. 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Crit Care Med. 2003;31:1250–1256. [CrossRef] [PubMed] [Google Scholar]
- Bone RC, Balk RA, Cerra FB, et al. Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest. 1992;101:1644–1655. [Google Scholar]
- Butler J, Rocker GM, Westaby S. Inflammatory response to cardiopulmonary bypass. Ann Thorac Surg. 1993;55:552–559. [CrossRef] [Google Scholar]
- Chenoweth DE, Cooper SW, Hugli TE, Stewart RW, Blackstone EH, Kirklin JW. Complement activation during cardiopulmonary bypass: Evidence for generation of C3a and C5a anaphylatoxins. N Engl J Med. 1981;304:497–503. [CrossRef] [PubMed] [Google Scholar]
- Brister SJ, Ofosu FA, Buchanan MR. Thrombin generation during cardiac surgery: Is heparin the ideal anticoagulant? Thromb Haemost. 1993;70:259–262. [CrossRef] [PubMed] [Google Scholar]
- Wachtfogel YT, Kucich U, Hack CE, et al. Aprotinin inhibits the contact, neutrophil, and platelet activation systems during simulated extracorporeal perfusion. J Thorac Cardiovasc Surg. 1993;106:1–9. [CrossRef] [Google Scholar]
- McBride WT, Armstrong MA, Crockard AD, McMurray TJ, Rea JM. Cytokine balance and immunosuppressive changes at cardiac surgery: Contrasting response between patients and isolated CPB circuits. Br J Anaesth. 1995;75:724–733. [CrossRef] [Google Scholar]
- Ferraris VA, Ferraris SP, Singh A, et al. The platelet thrombin receptor and postoperative bleeding. Ann Thorac Surg. 1998;65:352–358. [CrossRef] [Google Scholar]
- Taylor KM. SIRS–The systemic inflammatory response syndrome after cardiac operations. Ann Thorac Surg. 1996;61:1607–1608. [CrossRef] [Google Scholar]
- Taylor KM, Walker MS, Rao LG, Jones JV, Gray CE. Proceedings: Plasma levels of cortisol, free cortisol and corticotrophin during cardio-pulmonary by-pass. J Endocrinol. 1975;67:29P–30P. [Google Scholar]
- Hensel M, Volk T, Docke WD, et al. Hyperprocalcitonemia in patients with noninfectious SIRS and pulmonary dysfunction associated with cardiopulmonary bypass. Anesthesiology. 1998;89:93–104. [CrossRef] [PubMed] [Google Scholar]
- Pilz G, Kaab S, Kreuzer E, Werdan K. Evaluation of definitions and parameters for sepsis assessment in patients after cardiac surgery. Infection. 1994;22:8–17. [CrossRef] [PubMed] [Google Scholar]
- Kerbaul F, Guidon C, Lejeune PJ, Mollo M, Mesana T, Gouin F.Hyperprocalcitonemia is related to noninfectious postoperative severe systemic inflammatory response syndrome associated with cardiovascular dysfunction after coronary artery bypass graft surgery. J Cardiothorac Vasc Anesth. 2002;16:47–53. [CrossRef] [Google Scholar]
- Shann KG, Likosky DS, Murkin JM, et al. An evidence-based review of the practice of cardiopulmonary bypass in adults: A focus on neurologic injury, glycemic control, hemodilution, and the inflammatory response. J Thorac Cardiovasc Surg. 2006;132:283–290. [CrossRef] [Google Scholar]
- Landis C. Pharmacologic strategies for combating the inflammatory response. J Extra Corpor Technol. 2007;39:291–295. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- Ranucci M, Balduini A, Ditta A, Boncilli A, Brozzi S. A systematic review of biocompatible cardiopulmonary bypass circuits and clinical outcome. Ann Thorac Surg. 2009;87:1311–1319. [CrossRef] [Google Scholar]
- Landis RC, Brown JR, Fitzgerald D, et al. Attenuating the systemic inflammatory response to adult cardiopulmonary bypass: A critical review of the evidence base. J Extra Corpor Technol. 2014;46:197–211. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- Kuhn C, Muller-Werdan U, Schmitt DV, et al. Improved outcome of APACHE II score-defined escalating systemic inflammatory response syndrome in patients post cardiac surgery in 1996 compared to 1988–1990: The ESSICS-study pilot project. Eur J Cardiothorac Surg. 2000;17:30–37. [CrossRef] [PubMed] [Google Scholar]
- Fagon JY, Chastre J, Novara A, Medioni P, Gibert C. Characterization of intensive care unit patients using a model based on the presence or absence of organ dysfunctions and/or infection: The ODIN model. Intensive Care Med. 1993;19:137–144. [CrossRef] [PubMed] [Google Scholar]
- Howell MD, Talmor D, Schuetz P, Hunziker S, Jones AE, Shapiro NI. Proof of principle: The predisposition, infection, response, organ failure sepsis staging system. Crit Care Med. 2011;39:322–327. [CrossRef] [PubMed] [Google Scholar]
- Landis RC, de Silva RJ. The systemic inflammatory response to cardiopulmonary bypass. In: Mackay JH, Arrowsmith JE, eds. Core Topics in Cardiac Anaesthesia, 2 ed. Cambridge, UK: Cambridge University Press; 2012. [Google Scholar]
- Hummel JM, van RW, Verkerke GJ, Rakhorst G. Medical technology assessment: The use of the analytic hierarchy process as a tool for multidisciplinary evaluation of medical devices. Int J Artif Organs. 2000;23:782–787. [CrossRef] [PubMed] [Google Scholar]
- Baha BY, Wajiga GM, Blamah MV, Adewumi AO. Analytical hierarchy process model for severity of risk factors associated with type 2 diabetes. Sci Res Essays. 2013;8:1906–1910. [Google Scholar]
- Unwin N, Guariguata L, Whiting D, Weil C. Complementary approaches to estimation of the global burden of diabetes. Lancet. 2012;379:1487–1488. [CrossRef] [PubMed] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.