Time-limited trials of intensive care for critically Ill patients with cancer how long is long enough?

JAMA Oncology

Volumn 2, Issue 1, 2016, Pages 76-83

  Shrime, Mark G ^a,b   Ferket, Bart S ^c,d   Scott, Daniel J ^e   Lee, Joon ^f   Barragan Bradford, Diana ^a,g   Pollard, Tom ^e   Arabi, Yaseen M ^h   Al Dorzi, Hasan M ^h   Baron, Rebecca M ^a,g   Hunink, M G Myriam ^c,i   Celi, Leo A ^a,e   Lai, Peggy S ^a,j  

^a HARVARD MEDICAL SCHOOL   (United States)

^b MASSACHUSETTS EYE AND EAR INFIRMARY   (United States)

^c ERASMUS MEDICAL CENTER   (Netherlands)

^d MOUNT SINAI SCHOOL OF MEDICINE   (United States)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^f UNIVERSITY OF WATERLOO   (Canada)

^g BRIGHAM AND WOMEN S HOSPITAL   (United States)

^h KING SAUD BIN ABDULAZIZ UNIVERSITY FOR HEALTH SCIENCES   (Saudi Arabia)

ⁱ HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^j MASSACHUSETTS GENERAL HOSPITAL   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

AGED; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER SIMULATION; CRITICAL ILLNESS; DECISION SUPPORT SYSTEM; FACTUAL DATABASE; FEMALE; HUMAN; INTENSIVE CARE; MALE; MASSACHUSETTS; MIDDLE AGED; MONTE CARLO METHOD; MORTALITY; MULTICENTER STUDY; NEOPLASMS; ORGAN DYSFUNCTION SCORE; PATIENT SELECTION; PREDICTIVE VALUE; REPRODUCIBILITY; RETROSPECTIVE STUDY; RISK ASSESSMENT; RISK FACTOR; THEORETICAL MODEL; TIME FACTOR; TREATMENT OUTCOME; UNIVERSITY HOSPITAL; VALIDATION STUDY; VERY ELDERLY;

ACADEMIC MEDICAL CENTERS; AGED; AGED, 80 AND OVER; BOSTON; COMPUTER SIMULATION; CRITICAL CARE; CRITICAL ILLNESS; DATABASES, FACTUAL; DECISION SUPPORT TECHNIQUES; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, THEORETICAL; MONTE CARLO METHOD; NEOPLASMS; ORGAN DYSFUNCTION SCORES; PATIENT SELECTION; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; RISK ASSESSMENT; RISK FACTORS; TIME FACTORS; TREATMENT OUTCOME;

EID: 85010641675     PISSN: 23742437     EISSN: 23742445     Source Type: Journal    
DOI: 10.1001/jamaoncol.2015.3336     Document Type: Article

References (40)

1. Angus DC, Barnato AE, Linde-ZwirbleWT, et al; RobertWood Johnson Foundation ICU End-of-Life Peer Group. Use of intensive care at the end of life in the United States: an epidemiologic study. Crit Care Med. 2004;32(3):638-643.
2. Christakis NA, Iwashyna TJ. Attitude and self-reported practice regarding prognostication in a national sample of internists. Arch Intern Med. 1998;158(21):2389-2395.
3. Sinuff T, Adhikari NK, Cook DJ, et al. Mortality predictions in the intensive care unit: comparing physicians with scoring systems. Crit Care Med. 2006;34(3):878-885.
4. MeadowW, Pohlman A, Frain L, et al. Power and limitations of daily prognostications of death in the medical intensive care unit. Crit Care Med. 2011;39 (3):474-479.
5. MeadowW, Pohlman A, Reynolds D, et al. Power and limitations of daily prognostications of death in the medical ICU for outcomes in the following 6 months. Crit Care Med. 2014;42(11):2387-2392.
6. O'Brien JMJr, Aberegg SK, Ali NA, Diette GB, Lemeshow S. Results from the national sepsis practice survey: predictions about mortality and morbidity and recommendations for limitation of care orders. Crit Care. 2009;13(3):R96.
7. Piers RD, Azoulay E, Ricou B, et al; APPROPRICUS Study Group of the Ethics Section of the ESICM. Perceptions of appropriateness of care among European and Israeli intensive care unit nurses and physicians. JAMA. 2011;306(24): 2694-2703.
8. Zier LS, Burack JH, Micco G, et al. Doubt and belief in physicians' ability to prognosticate during critical illness: the perspective of surrogate decision makers. Crit Care Med. 2008;36(8):2341-2347.
9. Taccone FS, Artigas AA, Sprung CL, Moreno R, Sakr Y, Vincent JL. Characteristics and outcomes of cancer patients in European ICUs. Crit Care. 2009; 13(1):R15.
10. Garrouste-Orgeas M, Montuclard L, Timsit JF, et al; French ADMISSIONREA Study Group. Predictors of intensive care unit refusal in French intensive care units: a multiple-center study. Crit Care Med. 2005;33(4):750-755.
11. Staudinger T, Stoiser B, Müllner M, et al. Outcome and prognostic factors in critically ill cancer patients admitted to the intensive care unit. Crit Care Med. 2000;28(5):1322-1328.
12. Benoit DD, Vandewoude KH, Decruyenaere JM, Hoste EA, Colardyn FA. Outcome and early prognostic indicators in patients with a hematologic malignancy admitted to the intensive care unit for a life-threatening complication. Crit Care Med. 2003; 31(1):104-112.
13. Azoulay E, Moreau D, Alberti C, et al. Predictors of short-term mortality in critically ill patients with solid malignancies. Intensive Care Med. 2000;26 (12):1817-1823.
14. Lecuyer L, Chevret S, Thiery G, Darmon M, Schlemmer B, Azoulay E. The ICU trial: a new admission policy for cancer patients requiring mechanical ventilation. Crit Care Med. 2007;35(3): 808-814.
15. Soares M, Caruso P, Silva E, et al; Brazilian Research in Intensive Care Network (BRICNet). Characteristics and outcomes of patients with cancer requiring admission to intensive care units: a prospective multicenter study. Crit Care Med. 2010;38(1):9-15.
16. Azoulay E, Pochard F, Garrouste-Orgeas M, et al; Outcomerea Study Group. Decisions to forgo life-sustaining therapy in ICU patients independently predict hospital death. Intensive Care Med. 2003;29(11):1895-1901.
17. Rocker G, Cook D, Sjokvist P, et al; Level of Care Study Investigators; Canadian Critical Care Trials Group. Clinician predictions of intensive care unit mortality. Crit Care Med. 2004;32(5):1149-1154.
18. Schenker Y, Tiver GA, Hong SY, White DB. Discussion of treatment trials in intensive care. J Crit Care. 2013;28(5):862-869.
19. Goldie SJ, Gaffikin L, Goldhaber-Fiebert JD, et al; Alliance for Cervical Cancer Prevention Cost Working Group. Cost-effectiveness of cervical-cancer screening in five developing countries. N Engl J Med. 2005;353(20):2158-2168.
20. Salzmann P, Kerlikowske K, Phillips K. Cost-effectiveness of extending screening mammography guidelines to include women 40 to 49 years of age. Ann Intern Med. 1997;127(11): 955-965.
21. Saeed M, Lieu C, Raber G, Mark RG. MIMIC II: a massive temporal ICU patient database to support research in intelligent patient monitoring. Comput Cardiol. 2002;29:641-644.
22. al-SarrafM, Martz K, Herskovic A, et al. Progress report of combined chemoradiotherapy versus radiotherapy alone in patients with esophageal cancer: an intergroup study. J Clin Oncol. 1997;15(1):277-284.
23. Baranovsky A, Myers MH. Cancer incidence and survival in patients 65 years of age and older. CA Cancer J Clin. 1986;36(1):26-41.
24. Kamangar F, Dores GM, Anderson WF. Patterns of cancer incidence, mortality, and prevalence across five continents: defining priorities to reduce cancer disparities in different geographic regions of the world. J Clin Oncol. 2006;24(14):2137-2150.
25. Omloo JM, Lagarde SM, Hulscher JB, et al. Extended transthoracic resection compared with limited transhiatal resection for adenocarcinoma of themid/distal esophagus: five-year survival of a randomized clinical trial. Ann Surg. 2007;246(6): 992-1000.
26. Parkin DM, Bray F, Ferlay J, Pisani P. Global cancer statistics, 2002. CA Cancer J Clin. 2005;55 (2):74-108.
27. Cornet AD, Issa AI, van de Loosdrecht AA, Ossenkoppele GJ, Strack van Schijndel RJ, Groeneveld AB. Sequential organ failure predicts mortality of patients with a haematological malignancy needing intensive care. Eur J Haematol. 2005;74(6):511-516.
28. Neumann F, Lobitz O, Fenk R, et al. The sepsis-related organ failure assessment (SOFA) score is predictive for survival of patients admitted to the intensive care unit following allogeneic blood stem cell transplantation. Ann Hematol. 2008;87 (4):299-304.
29. Ferreira FL, Bota DP, Bross A, Melot C, Vincent JL. Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA. 2001;286 (14):1754-1758.
30. Hunink M,WeinsteinM,Wittenberg E, et al. Decision Making in Health and Medicine: Integrating Evidence and Values. Cambridge, England: Cambridge University Press; 2014.
31. Turnbull AE, Ruhl AP, Lau BM, Mendez-Tellez PA, Shanholtz CB, Needham DM. Timing of limitations in life support in acute lung injury patients: a multisite study. Crit Care Med. 2014;42 (2):296-302.
32. Fleming TR, Harrington DP. A class of hypothesis tests for one and two sample censored survival data. Commun Stat. 1981;10(8):763-794.
33. Lautrette A, Darmon M, Megarbane B, et al. A communication strategy and brochure for relatives of patients dying in the ICU. N Engl J Med. 2007;356(5):469-478.
34. Quill TE, Holloway R. Time-limited trials near the end of life. JAMA. 2011;306(13):1483-1484.
35. SlevinML, Stubbs L, Plant HJ, et al. Attitudes to chemotherapy: comparing views of patients with cancer with those of doctors, nurses, and general public. BMJ. 1990;300(6737):1458-1460.
36. Meropol NJ, Egleston BL, Buzaglo JS, et al; CONNECT Study Research Group. Cancer patient preferences for quality and length of life. Cancer. 2008;113(12):3459-3466.
37. DanisM, Patrick DL, Southerland LI, Green ML. Patients' and families' preferences for medical intensive care. JAMA. 1988;260(6):797-802.
38. HallWA, Djalilian HR, Nussbaum ES, Cho KH. Long-term survival with metastatic cancer to the brain. Med Oncol. 2000;17(4):279-286.
39. Wildman MJ, Sanderson C, Groves J, et al. Implications of prognostic pessimism in patients with chronic obstructive pulmonary disease (COPD) or asthma admitted to intensive care in the UK within the COPD and asthma outcome study (CAOS): multicentre observational cohort study. BMJ. 2007;335(7630):1132.
40. Garrouste-Orgeas M, Tabah A, Vesin A, et al. The ETHICA study (part II): simulation study of determinants and variability of ICU physician decisions in patients aged 80 or over. Intensive Care Med. 2013;39(9):1574-1583.