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|Title:||Mortality and length-of-stay outcomes, 1993-2003, in the binational Australian and New Zealand intensive care adult patient database|
|Citation:||Critical Care Medicine, 2008; 36(1):46-61|
|Publisher:||Lippincott Williams & Wilkins|
|Moran, John L.; Bristow, Peter; Solomon, Patricia; George, Carol; Hart, Graeme K. for the Australian and New Zealand Intensive Care Society Database Management Committee (ADMC)|
|Abstract:||<h4>Objective</h4>Intensive care unit (ICU) outcomes have been the subject of controversy. The objective was to model hospital mortality and ICU length-of-stay time-change of patients recorded in the Australian and New Zealand Intensive Care Society adult patient database.<h4>Design</h4>Retrospective, cohort study of prospectively collected data on index patient admissions.<h4>Setting</h4>Australian and New Zealand ICUs, 1993-2003.<h4>Patients</h4>The Australian and New Zealand Intensive Care Society adult patient database, which contains data for 223,129 patients.<h4>Interventions</h4>None.<h4>Measurements and main results</h4>Hospital mortality and ICU length of stay were modeled using logistic and linear regression, respectively, with determination (80%) and validation (20%) data sets. Model adequacy was assessed by discrimination (receiver operating characteristic curve area, AZ) and calibration (Hosmer-Lemeshow C) for mortality and R2 for length of stay. Predictor variables included patient demographics, severity score, surgical and ventilation status, ICU categories, and geographical locality. The data set comprised 223,129 patients: Their mean (SD) age was 59.2 (18.9) yrs, 41.7% were female, their mean (SD) Acute Physiology and Chronic Health Evaluation (APACHE) III score was 53 (31), they had 16.1% overall mortality rate, and 45.7% were mechanically ventilated. ICU length of stay was 3.6 (5.6) days. A(Z), C statistic, and R2 for developmental and validation model data sets were 0.88, 17.64 (p = .02), and 0.18; and 0.88, 12.32 (p = .26), and 0.18, respectively. Variables with mortality impact (p < or = .001) were age (odds ratio [OR] 1.023), gender (OR 1.16; males vs. females), APACHE III score (OR 1.06), mechanical ventilation (OR 1.66), and surgical status (elective, OR 0.17; emergency, OR 0.47; compared with nonsurgical). ICU level and locality had significant mortality-time effects. Similar variables were found to predict length of stay. Risk-adjusted mortality declined, during 1993-2003, from 0.19 (95% confidence interval 0.17-0.21) to 0.15 (0.13-0.16) and similarly for ventilated patients: 0.26 (0.24-0.29) to 0.23 (0.21-0.25). Predicted mean ICU length of stay (days) demonstrated minimal overall time-change: 3.4 (2.2) in 1993 to 3.5 (2.7) in 2003, peaking at 3.7 (2.4) in 2000.<h4>Conclusions</h4>Overall hospital mortality rate in patients admitted to Australian and New Zealand ICUs decreased 4% over 11 yrs. A similar trend occurred for mechanically ventilated patients. Length of stay changed minimally over this period.|
|Keywords:||Australian and New Zealand Intensive Care Society Database Management Committee (ADMC); Humans; Respiration, Artificial; Length of Stay; Severity of Illness Index; Hospital Mortality; Models, Statistical; Logistic Models; Survival Analysis; Retrospective Studies; Cohort Studies; Longitudinal Studies; ROC Curve; Age Distribution; Sex Distribution; Databases, Factual; Middle Aged; Intensive Care Units; Australia; New Zealand; Female; Male; Outcome and Process Assessment, Health Care|
|Appears in Collections:||Medicine publications|
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