Timing of onset and burden of persistent critical illness in Australia and New Zealand: a retrospective, population-based, observational study

The Lancet Respiratory Medicine

Volumn 4, Issue 7, 2016, Pages 566-573

  Iwashyna, Theodore J ^a,b,c   Hodgson, Carol L ^a,d   Pilcher, David ^a,d,e   Bailey, Michael ^a   van Lint, Allison ^a,e   Chavan, Shaila ^a,e   Bellomo, Rinaldo ^a,f  

^a MONASH UNIVERSITY   (Australia)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^c VA ANN ARBOR HEALTHCARE SYSTEM   (United States)

^d ALFRED HOSPITAL   (Australia)

^e Australian and New Zealand Intensive Care Society   (Australia)

^f UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; AUSTRALIA; CRITICAL ILLNESS; CRITICALLY ILL PATIENT; FEMALE; HOSPITAL ADMISSION; HOSPITAL MORTALITY; HUMAN; INTENSIVE CARE UNIT; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; NEW ZEALAND; OBSERVATIONAL STUDY; POPULATION RESEARCH; PREDICTIVE VALUE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RETROSPECTIVE STUDY; VERY ELDERLY; COST OF ILLNESS; EPIDEMIOLOGY; FACTUAL DATABASE; HOSPITAL DISCHARGE; INTENSIVE CARE; MIDDLE AGED; MORTALITY; OUTCOME ASSESSMENT; STATISTICS AND NUMERICAL DATA; TIME FACTOR;

AGED; AUSTRALIA; COST OF ILLNESS; CRITICAL CARE; CRITICAL ILLNESS; DATABASES, FACTUAL; FEMALE; HOSPITAL MORTALITY; HUMANS; INTENSIVE CARE UNITS; MALE; MIDDLE AGED; NEW ZEALAND; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT ADMISSION; PATIENT DISCHARGE; RETROSPECTIVE STUDIES; ROC CURVE; TIME FACTORS;

EID: 84964941386     PISSN: 22132600     EISSN: 22132619     Source Type: Journal    
DOI: 10.1016/S2213-2600(16)30098-4     Document Type: Article

References (38)

1. 1 Iwashyna, TJ, Hodgson, CL, Pilcher, D, et al. Towards defining persistent critical illness and other varieties of chronic critical illness. Crit Care Resusc 17 (2015), 215–218.
2. 2 Iwashyna, TJ, Hodgson, CL, Pilcher, D, Bailey, M, Bellomo, R, Persistent critical illness characterised by Australian and New Zealand ICU clinicians. Crit Care Resusc 17 (2015), 153–158.
3. 3 Carson, SS, Bach, PB, The epidemiology and costs of chronic critical illness. Crit Care Clin 18 (2002), 461–476.
4. 4 Nelson, JE, Cox, CE, Hope, AA, Carson, SS, Chronic critical illness. Am J Respir Crit Care Med 182 (2010), 446–454.
5. 5 Cox, CE, Persistent systemic inflammation in chronic critical illness. Respir Care 57 (2012), 859–864 discussion 64–66.
6. 6 Kahn, JM, Werner, RM, David, G, Ten Have, TR, Benson, NM, Asch, DA, Effectiveness of long-term acute care hospitalization in elderly patients with chronic critical illness. Med Care 51 (2013), 4–10.
7. 7 Kahn, JM, Le, T, Angus, DC, et al. The epidemiology of chronic critical illness in the United States. Crit Care Med 43 (2015), 282–287.
8. 8 Sjoding, MW, Cooke, CR, Chronic critical illness: a growing legacy of successful advances in critical care. Crit Care Med 43 (2015), 476–477.
9. 9 Kandilov, A, Ingber, M, Morley, M, et al. Chronically critically ill population payment recommendations (CCIP-PR): final report. http://innovation.cms.gov/Files/reports/ChronicallyCriticallyIllPopulation-Report.pdf, March, 2014 (accessed March 25, 2015).
10. 10 Damuth, E, Mitchell, JA, Bartock, JL, Roberts, BW, Trzeciak, S, Long-term survival of critically ill patients treated with prolonged mechanical ventilation: a systematic review and meta-analysis. Lancet Respir Med 3 (2015), 544–553.
11. 11 Chelluri, L, Mendelsohn, AB, Belle, SH, et al. Hospital costs in patients receiving prolonged mechanical ventilation: does age have an impact?. Crit Care Med 31 (2003), 1746–1751.
12. 12 Unroe, M, Kahn, JM, Carson, SS, et al. One-year trajectories of care and resource utilization for recipients of prolonged mechanical ventilation: a cohort study. Ann Intern Med 153 (2010), 167–175.
13. 13 Hough, CL, Caldwell, ES, Cox, CE, et al. Development and validation of a mortality prediction model for patients receiving 14 days of mechanical ventilation. Crit Care Med 43 (2015), 2339–2345.
14. 14 Kahn, JM, Improving outcomes in prolonged mechanical ventilation: a road map. Lancet Respir Med 3 (2015), 501–502.
15. 15 Kramer, AA, Zimmerman, JE, A predictive model for the early identification of patients at risk for a prolonged intensive care unit length of stay. BMC Med Inform Decis Mak, 10, 2010, 27.
16. 16 Hughes, M, MacKirdy, FN, Norrie, J, Grant, IS, Outcome of long-stay intensive care patients. Intensive Care Med 27 (2001), 779–782.
17. 17 Arabi, Y, Venkatesh, S, Haddad, S, al Shimemeri, A, al Malik, S, A prospective study of prolonged stay in the intensive care unit: predictors and impact on resource utilization. Int J Qual Health Care 14 (2002), 403–410.
18. 18 Stow, PJ, Hart, GK, Higlett, T, et al. Development and implementation of a high-quality clinical database: the Australian and New Zealand Intensive Care Society Adult Patient Database. J Crit Care 21 (2006), 133–141.
19. 19 Kaukonen, KM, Bailey, M, Suzuki, S, Pilcher, D, Bellomo, R, Mortality related to severe sepsis and septic shock among critically ill patients in Australia and New Zealand, 2000–2012. JAMA 311 (2014), 1308–1316.
20. 20 Paul, E, Bailey, M, Pilcher, D, Risk prediction of hospital mortality for adult patients admitted to Australian and New Zealand intensive care units: development and validation of the Australian and New Zealand Risk of Death model. J Crit Care 28 (2013), 935–941.
21. 21 Pilcher, D, Paul, E, Bailey, M, Huckson, S, The Australian and New Zealand Risk of Death (ANZROD) model: getting mortality prediction right for intensive care units. Crit Care Resusc 16 (2014), 3–4.
22. 22 Gonen, M, Analyzing receiver operating characteristic curves using SAS, 2007, SAS Press, Cary.
23. 23 Knaus, WA, Zimmerman, JE, Wagner, DP, Draper, EA, Lawrence, DE, APACHE—Acute Physiology and Chronic Health Evaluation: a physiologically based classification system. Crit Care Med 9 (1981), 591–597.
24. 24 Australian Bureau of Statistics. Australian Demographic Statistics. Table 59. Estimated resident population by single year of age, Australia. http://www.abs.gov.au/AUSSTATS/ABS@Archive.nsf/log?openagent&3101059.xls&3101.0&Time%20Series%20Spreadsheet&7A8582884A7CC018CA257E6E0011A054&0&Dec%202014&25.06.2015&Latest from http://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/3101.0Dec%202014 (accessed June 24, 2015).
25. 25 Statistics New Zealand. Table: estimated resident population by age and sex (1991+) (annual–Dec). http://www.stats.govt.nz/infoshare/SelectVariables.aspx?pxID=3b0b0018-83ef-4934-91c0-b52a8d61f2cf (accessed June 24, 2015).
26. 26 Van den Berghe, GH, Acute and prolonged critical illness are two distinct neuroendocrine paradigms. Verh K Acad Geneeskd Belg 60 (1998), 487–518 discussion 518–20.
27. 27 Vanhorebeek, I, Langouche, L, Van den Berghe, G, Endocrine aspects of acute and prolonged critical illness. Nat Clin Pract Endocrinol Metab 2 (2006), 20–31.
28. 28 Moitra, VK, Guerra, C, Linde-Zwirble, WT, Wunsch, H, Relationship between ICU length of stay and long-term mortality for elderly ICU survivors. Crit Care Med 44 (2016), 655–662.
29. 29 Kahn, JM, Benson, NM, Appleby, D, Carson, SS, Iwashyna, TJ, Long-term acute care hospital utilization after critical illness. JAMA 303 (2010), 2253–2259.
30. 30 Kahn, JM, Werner, RM, Carson, SS, Iwashyna, TJ, Variation in long-term acute care hospital use after intensive care. Med Care Res Rev 69 (2012), 339–350.
31. 31 Carson, SS, Garrett, J, Hanson, LC, et al. A prognostic model for one-year mortality in patients requiring prolonged mechanical ventilation. Crit Care Med 36 (2008), 2061–2069.
32. 32 Carson, SS, Kahn, JM, Hough, CL, et al. A multicenter mortality prediction model for patients receiving prolonged mechanical ventilation. Crit Care Med 40 (2012), 1171–1176.
33. 33 Clermont, G, Angus, DC, Linde-Zwirble, WT, Griffin, MF, Fine, MJ, Pinsky, MR, Does acute organ dysfunction predict patient-centered outcomes?. Chest 121 (2002), 1963–1971.
34. 34 Redelmeier, DA, Improving patient care. The cognitive psychology of missed diagnoses. Ann Intern Med 142 (2005), 115–120.
35. 35 Kaukonen, KM, Bailey, M, Bellomo, R, Systemic inflammatory response syndrome criteria for severe sepsis. N Engl J Med, 373, 2015, 881.
36. 36 Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation. Annual report 2013-14, 2014, Australian and New Zealand Intensive Care Society, Melbourne.
37. 37 Puthucheary, ZA, Rawal, J, McPhail, M, et al. Acute skeletal muscle wasting in critical illness. JAMA 310 (2013), 1591–1600.
38. 38 Hofer, TP, Hayward, RA, Are bad outcomes from questionable clinical decisions preventable medical errors? A case of cascade iatrogenesis. Ann Intern Med 137:5 part 1 (2002), 327–333.