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

被引:169
作者
Iwashyna, Theodore J. [1 ,2 ,3 ]
Hodgson, Carol L. [1 ,4 ]
Pilcher, David [1 ,5 ,6 ]
Bailey, Michael [1 ]
van Lint, Allison [1 ,6 ]
Chavan, Shaila [1 ,6 ]
Bellomo, Rinaldo [1 ,7 ]
机构
[1] Monash Univ, Dept Epidemiol & Prevent Med, Australian & New Zealand Intens Care Res Ctr, Melbourne, Vic, Australia
[2] Univ Michigan, Dept Internal Med, Ann Arbor, MI 48109 USA
[3] Vet Affairs Ann Arbor Hlth Syst, Ctr Clin Management Res, Ann Arbor, MI USA
[4] Alfred Hosp, Dept Physiotherapy, Melbourne, Vic, Australia
[5] Alfred Hosp, Dept Intens Care, Melbourne, Vic, Australia
[6] Australian & New Zealand Intens Care Soc Ctr Outc, Melbourne, Vic, Australia
[7] Univ Melbourne, Austin Hlth, Dept Intens Care Unit, Heidelberg, Vic, Australia
关键词
PROLONGED MECHANICAL VENTILATION; MORTALITY PREDICTION MODEL; SEVERE SEPSIS; CARE; EPIDEMIOLOGY; VALIDATION; OUTCOMES; COSTS; STAY; RISK;
D O I
10.1016/S2213-2600(16)30098-4
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background Critical care physicians recognise persistent critical illness as a specific syndrome, yet few data exist for the timing of the transition from acute to persistent critical illness. Defining the onset of persistent critical illness as the time at which diagnosis and illness severity at intensive care unit (ICU) arrival no longer predict outcome better than do simple pre-ICU patient characteristics, we measured the timing of this onset at a population level in Australia and New Zealand, and the variation therein, and assessed the characteristics, burden of care, and hospital outcomes of patients with persistent critical illness. Methods In this retrospective, population-based, observational study, we used data for ICU admission in Australia and New Zealand from the Australian and New Zealand Intensive Care Society Adult Patient Database. We included all patients older than 16 years of age admitted to a participating ICU. We excluded patients transferred from another hospital and those admitted to an ICU for palliative care or awaiting organ donation. The primary outcome was in-hospital mortality. Using statistical methods in evenly split development and validation samples for risk score development, we examined the ability of characteristics to predict in-hospital mortality. Findings Between Jan, 2000, and Dec, 2014, we studied 1 028 235 critically ill patients from 182 ICUs across Australia and New Zealand. Among patients still in an ICU, admission diagnosis and physiological derangements, which accurately predicted outcome on admission (area under the receiver operating characteristics curve 0.898 [95% CI 0.897-0.899] in the validation cohort), progressively lost their predictive ability and no longer predicted outcome more accurately than did simple antecedent patient characteristics (eg, age, sex, or chronic health status) after 10 days in the ICU, thus empirically defining the onset of persistent critical illness. This transition occurred between day 7 and day 22 across diagnosis-based subgroups and between day 6 and day 15 across risk-of-death-based subgroups. Cases of persistent critical illness accounted for only 51 509 (5.0%) of the 1 028 235 patients admitted to an ICU, but for 1 029 345 (32.8%) of 3 138 432 ICU bed-days and 2 197 108 (14.7%) of 14 961 693 hospital bed-days. Overall, 12 625 (24.5%) of 51 509 patients with persistent critical illness died and only 23 968 (46.5%) of 51 509 were discharged home. Interpretation Onset of persistent critical illness can be empirically measured at a population level. Patients with this condition consume vast resources, have high mortality, have much less chance of returning home than do typical ICU patients, and require dedicated future research. ICU clinicians should be aware that the risk of in-hospital mortality can change quickly over the first 2 weeks of an ICU course and be sure to incorporate such changes in their decision making and prognostication.
引用
收藏
页码:566 / 573
页数:8
相关论文
共 39 条
[1]   A prospective study of prolonged stay in the intensive care unit: predictors and impact on resource utilization [J].
Arabi, Y ;
Venkatesh, S ;
Haddad, S ;
Al Shimemeri, A ;
Al Malik, S .
INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE, 2002, 14 (05) :403-410
[2]  
Australian and New Zealand Intensive Care Society Centre for Outcome and Resource Evaluation, 2014, ANN REP 2013 14
[3]  
Australian Bureau of Statistics, 2015, AUSTR DEM STAT
[4]   A prognostic model for one-year mortality in patients requiring prolonged mechanical ventilation [J].
Carson, Shannon S. ;
Garrett, Joanne ;
Hanson, Laura C. ;
Lanier, Joyce ;
Govert, Joe ;
Brake, Mary C. ;
Landucci, Dante L. ;
Cox, Christopher E. ;
Carey, Timothy S. .
CRITICAL CARE MEDICINE, 2008, 36 (07) :2061-2069
[5]   A multicenter mortality prediction model for patients receiving prolonged mechanical ventilation [J].
Carson, Shannon S. ;
Kahn, Jeremy M. ;
Hough, Catherine L. ;
Seeley, Eric J. ;
White, Douglas B. ;
Douglas, Ivor S. ;
Cox, Christopher E. ;
Caldwell, Ellen ;
Bangdiwala, Shrikant I. ;
Garrett, Joanne M. ;
Rubenfeld, Gordon D. .
CRITICAL CARE MEDICINE, 2012, 40 (04) :1171-1176
[6]   The epidemiology and costs of chronic critical illness [J].
Carson, SS ;
Bach, PB .
CRITICAL CARE CLINICS, 2002, 18 (03) :461-+
[7]   Hospital costs in patients receiving prolonged mechanical ventilation: Does age have an impact? [J].
Chelluri, L ;
Mendelsohn, AB ;
Belle, SH ;
Rotondi, AJ ;
Angus, DC ;
Donahoe, MP ;
Sirio, CA ;
Schulz, R ;
Pinsky, MR .
CRITICAL CARE MEDICINE, 2003, 31 (06) :1746-1751
[8]   Does acute organ dysfunction predict patient-centered outcomes? [J].
Clermont, G ;
Angus, DC ;
Linde-Zwirble, WT ;
Griffin, MF ;
Fine, MJ ;
Pinsky, MR .
CHEST, 2002, 121 (06) :1963-1971
[9]   Persistent Systemic Inflammation in Chronic Critical Illness [J].
Cox, Christopher E. .
RESPIRATORY CARE, 2012, 57 (06) :859-866
[10]   Long-term survival of critically ill patients treated with 544 prolonged mechanical ventilation: a systematic review and meta-analysis [J].
Damuth, Emily ;
Mitchell, Jessica A. ;
Bartock, Jason L. ;
Roberts, Brian W. ;
Trzeciak, Stephen .
LANCET RESPIRATORY MEDICINE, 2015, 3 (07) :544-553