IJCS | Volume 32, Nº5, September/October 2019

539 1. Churpek MM, Yuen TC, Park SY, Gibbons R, Edelson DP. Using electronic health record data to develop and validate a prediction model for adverse outcomes in the wards. Crit Care Med. 2014;42(4):841-8. 2. Jones D, Hicks P, Currey J, Holmes J, Fennessy GJ, Hillman K, et al; Australian and New Zealand Intensive Care Society. Findings of the first ANZICS conference on the role of intensive care in Rapid Response Teams. Anaesth Intensive Care. 2015;43(3):369-79. 3. VeigaVC.AtuaçãodoTimedeRespostaRápidanosindicadoresdemelhoria da qualidade assistencial [doutorado]. Campinas (SP): UNICAMP; 2013. 4. Mezzaroba AL, TanitaMT, Festii J, Carrilho CM, Cardoso LT, Grion CM. Evaluation of the five-year operation period of a rapid response team led by an intensive care physician at a university hospital. Rev Bras Ter Intensiva. 2016;28(3):278-84. 5. Kang MA, Chuper MM, Zadravecz FJ, Adhikari R, Twu NM, Edelson DP. Real-time risk prediction on the wards: a feasibility study. Crit Care Med. 2016;44(8):1468-73. 6. Schein RM, Hazday N, Pena M, Ruben BH, Sprung CL. Clinical antecedents to in-hospital cardiopulmonary arrest. Chest. 1990;98(6):1388-92. 7. Franklin C, Mathew J. Developing strategies to prevent inhospital cardiac arrest: analyzing responses of physicians and nurses in the hours before the event. Crit Care Med. 1994;22(2):244-7. 8. Buist M, Bernard S, Nquyen TV, Moore G, Anderson J. Association between clinically abnormal observations and subsequent in-hospital mortality: a prospective study. Resuscitation. 2004;62(2):137-41. 9. Cretikos MA, Bellomo R, Hillman K, Chen J, Finfer S, Flabouris A. Respiratory rate: the neglected vital sign. Med J Aust. 2008;188(11):657-9. 10. Smith GB, Prytherch DR, Schmidt PL, Featherstone PI. Review and performance evaluation of aggregate weighted “track and trigger” systems. Resuscitation. 2008;77(2):170-9. 11. Gao H, McDonnell A, Harrison DA, Moore T, Adam S, Daly K, et al. Systematic review and evaluation of physiological track and trigger warning systems for identifying at-risk patients on the ward. Intensive Care Med. 2007;33(4):667-79. 12. Spångfors M, Arvidsson L, Karlsson V, Samuelson K. The National Early Warning Score: Translation, testing and prediction in a Swedish setting. Intensive Crit Care Nurs. 2016 Dec;37:62-7. 13. Brown H, Terrence J, Vasquez P, Bates DW, Zimlichman E. Continuous monitoring in an inpatient medical surgical unit: a controlled clinical trial. Am J Med. 2014;127(3):226-32. 14. Helfand M, Christensen V, Anderson J. Technology Assessment: Early Sense for Monitoring Vital Signs in Hospitalized Patients. VA Evidence- based Synthesis Program Evidence Briefs [Internet]. Washington (DC): Department of Veterans Affairs (US); 2011. VAEvidence-based Synthesis Program Reports. 2016 May. 15. ChurpekMM, Yuen TC, WinslowC, Robicsek AA, Meltzer DO, Gibbons RD, et al. Multicenter development and validation of a risk stratification tool for ward patients. Am J Respir Crit Care Med. 2014;190(6):649-55. 16. Hueckel RM, Turi JL, Cheifetz IM, Mericle J, Meliones JN, Mistry KP. Beyond Rapid Response Teams: Instituting a “Rover Team” Improves the Management of At-Risk Patients, Facilitates Proactive Interventions, and Improves Outcomes. In: Henriksen K, Battles JB, Keyes MA, Grady ML, editors. Advances in Patient Safety: NewDirections and Alternative Approaches. Rockville (MD): Agency for Healthcare Research and Quality (US); 2008 . 17. Robison J, Slamon NB. A more rapid, rapid response. Pediatr Crit Care Med. 2016;17(9):871-5. 18. Goldhill DR, Worthington L, Mulcahy A, Tarling M, Sumner A. The patient-at-risk team: identifying and managing seriously ill ward patients. Anaesthesia. 1999;54(9):853-60. 19. Goldhill DR, McNarry AF. Physiological abnormalities in early warning scores are related to mortality in adult inpatients. Br J Anaesth. 2004;92(6):882-4. 20. Subbe CP, Kruger M, Rutheford P, Gemmel L. Validation of a modified Early Warning Score in medical admissions. QJM. 2001;94(10):521-6. 21. Hodgetts TJ, Kenward G, Vlachonikolis IG, Payne S, Castle N. The identification of risk factors for cardiac arrest and formulation of activation criteria to alert a medical emergency team. Resuscitation. 2002;54(2):125-31. 22. Chan PS, Jain R, Nallmothu BK, Berg RA, Sasson C. Rapid response teams: a systematic review and meta-analysis. Arch Intern Med. 2010;170(1):18-26. 23. Salvatierra G, Bindler RC, Corbett C, Roll J, Daratha KB. Rapid response team implementation an in-hospital mortality. Crit Care Med. 2014;42(9):2001-6. 24. Jung B, Daurat A, De Jong A, Chanques G, Mahul M, Monnin M, et al. Rapid response team and hospital mortality in hospitalized patients. Intensive Care Med. 2016;42(4):494-504. 25. Kronick SL, Kurz MC, Lin S, Edelson DP, Berg RA, Billi JE, et al. Part 4: Systems of Care and Continuous Quality Improvement: 2015 American Heart AssociationGuidelines Update for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2015;132(18 Suppl 2):S397-413. 26. Smith RL, Hayashi VN, Lee YI, Navarro-Mariazeta L, Felner K. The medical emergency team call: a sentinel event that triggers goal of care discussion. Crit Care Med. 2014;42(2):322-7. 27. Brunsveld-Reinders AH, Ludikhuizej J, Dijkgraaf MG, Arbous MS, de Jonge E; COMET study group. Unexpected versus all-cause mortality as the endpoint for investigating the effects of a rapid response system in hospitalized patients. Crit Care. 2016;20(1):168. 28. Fernando SM, Reardon PM, Bagshaw S, Scales DC, Murphy K, Shen J, et al. Impact of nighttime Rapid Response Team activation on outcomes of hospitalized patients with acute deterioration. Crit Care. 2018;22(1):67. 29. Tirkkonen J, Huhtala H, Hoppu S. In-hospital cardiac arrest after a rapid response team review: a matched case-control study. Resuscitation. 2018 May;126:98-103. References Veiga & Rojas Performance of the rapid response systems Int J Cardiovasc Sci. 2019;32(5):536-539 Viewpoint This is an open-access article distributed under the terms of the Creative Commons Attribution License