The Timing of Discharge from the Intensive Care Unit and Subsequent Mortality A Prospective, Multicenter Study

被引:45
作者
Santamaria, John D. [1 ]
Duke, Graeme J. [2 ]
Pilcher, David V. [3 ,4 ]
Cooper, D. James [3 ,4 ]
Moran, John [6 ]
Bellomo, Rinaldo [5 ]
机构
[1] St Vincents Hosp Melbourne, Intens Care Unit, Fitzroy, Vic 3065, Australia
[2] Box Hill Hosp, Eastern Hlth, Intens Care Unit, Box Hill, Vic, Australia
[3] Alfred Hosp, Intens Care Unit, Melbourne, Vic, Australia
[4] ANZIC Res Ctr, Melbourne, Vic, Australia
[5] Monash Univ, Australian & New Zealand Res Ctr, Melbourne, Vic 3004, Australia
[6] Queen Elizabeth Hosp, Intens Care Unit, Woodville South, Australia
关键词
hospital mortality; intensive care unit; after-hours care; patient transfer; risk factors; AFTER-HOURS DISCHARGE; MEDICAL EMERGENCY TEAM; HOSPITAL MORTALITY; RISK; TIME; INCREASES;
D O I
10.1164/rccm.201412-2208OC
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Rationale: Previous studies suggested an association between after-hours intensive care unit (ICU) discharge and increased hospital mortality. Their retrospective design and lack of correction for patient factors present at the time of discharge make this association problematic. Objectives: To determine factors independently associated with mortality after ICU discharge. Methods: This was a prospective, multicenter, binational observational study involving 40 ICUs in Australia and New Zealand. Participants were consecutive adult patients discharged alive from the ICU between September 2009 and February 2010. Measurements and Main Results: We studied 10,211 patients discharged alive from the ICU. Median age was 63 years (interquartile range, 49-74), 6,224 (61%) were male, 5,707 (56%) required mechanical ventilation, and their median Acute Physiology and Chronic Health Evaluation III risk of death was 9% (interquartile range, 3-25%). A total of 8;539 (83.6%) patients were discharged in-hours (06:00-18:00) and 1,672 (16.4%) after-hours (18:00-06:00). Of these, 408 (4.8%) and 124 (7.4%), respectively, subsequently died in hospital (P < 0.001). After risk adjustment for markers of illness severity at time of ICU discharge including limitations of medical therapy (LOMT) orders, the time of discharge was no longer a significant predictor of mortality. The presence of a LOMT order was the strongest predictor of death (odds ratio, 35.4; 95% confidence interval, 27.5-45.6). Conclusions: In this large, prospective, multicenter, binational observational study, we found that patient status at ICU discharge, particularly the presence of LOMT orders, was the chief predictor of hospital survival. In contrast to previous studies, the timing of discharge did not have an independent association with mortality.
引用
收藏
页码:1033 / 1039
页数:7
相关论文
共 37 条
  • [21] APACHE-II - A SEVERITY OF DISEASE CLASSIFICATION-SYSTEM
    KNAUS, WA
    DRAPER, EA
    WAGNER, DP
    ZIMMERMAN, JE
    [J]. CRITICAL CARE MEDICINE, 1985, 13 (10) : 818 - 829
  • [22] THE APACHE-III PROGNOSTIC SYSTEM - RISK PREDICTION OF HOSPITAL MORTALITY FOR CRITICALLY ILL HOSPITALIZED ADULTS
    KNAUS, WA
    WAGNER, DP
    DRAPER, EA
    ZIMMERMAN, JE
    BERGNER, M
    BASTOS, PG
    SIRIO, CA
    MURPHY, DJ
    LOTRING, T
    DAMIANO, A
    HARRELL, FE
    [J]. CHEST, 1991, 100 (06) : 1619 - 1636
  • [23] AIC and BIC - Comparisons of assumptions and performance
    Kuha, J
    [J]. SOCIOLOGICAL METHODS & RESEARCH, 2004, 33 (02) : 188 - 229
  • [24] Hospital mortality among adults admitted to and discharged from intensive care on weekends and evenings
    Laupland, Kevin B.
    Shahpori, Reza
    Kirkpatrick, Andrew W.
    Stelfox, H. Thomas
    [J]. JOURNAL OF CRITICAL CARE, 2008, 23 (03) : 317 - 324
  • [25] A NEW SIMPLIFIED ACUTE PHYSIOLOGY SCORE (SAPS-II) BASED ON A EUROPEAN NORTH-AMERICAN MULTICENTER STUDY
    LEGALL, JR
    LEMESHOW, S
    SAULNIER, F
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1993, 270 (24): : 2957 - 2963
  • [26] MORTALITY PROBABILITY-MODELS (MPM-II) BASED ON AN INTERNATIONAL COHORT OF INTENSIVE-CARE UNIT PATIENTS
    LEMESHOW, S
    TERES, D
    KLAR, J
    AVRUNIN, JS
    GEHLBACH, SH
    RAPOPORT, J
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 1993, 270 (20): : 2478 - 2486
  • [27] Mitchell MN, 2012, INTERPRET INTERPRETI, P167
  • [28] Estimating predicted probabilities from logistic regression: different methods correspond to different target populations
    Muller, Clemma J.
    MacLehose, Richard F.
    [J]. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2014, 43 (03) : 962 - 970
  • [29] After-hours discharge from intensive care increases the risk of readmission and death
    Pilcher, D. V.
    Duke, G. J.
    George, C.
    Bailey, M. J.
    Hart, G.
    [J]. ANAESTHESIA AND INTENSIVE CARE, 2007, 35 (04) : 477 - 485
  • [30] Impact of intensive care unit discharge time on patient outcome
    Priestap, Fran A.
    Martin, Claudio M.
    [J]. CRITICAL CARE MEDICINE, 2006, 34 (12) : 2946 - 2951