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1 UK PICOS United Kingdom Paediatric Intensive Care Outcome Study Outcomes at 6 months post-admission to paediatric intensive care: report of a national study of paediatric intensive care units in the United Kingdom Contact details: sam.jones@sheffield.ac.uk
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2 S Jones*, K Rantell*, K Stevens*, K Rowan #, C McCabe*, GJ Parry* *University of Sheffield, # ICNARC
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3 What is UK PICOS? A nationwide multi-centre study funded by the MRC in 2001 to undertake a comprehensive study of the outcomes (mortality and morbidity) of children receiving paediatric intensive care in the United Kingdom The aim was to measure the health status of children using the Health Utilities Index (HUI2), 6 months after admission to a paediatric intensive care unit (PICU) and to assess the relationship between this and measures of illness severity at admission
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4 Study participants Twenty nine PICUs identified in the UK Twenty three PICUs participated One year data collection period Over 12,000 admissions
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5 Data collected Admission data, including medical history, reason for admission and illness severity as measured by PIM, PRISM & PRISM III PICU outcome (died/survived) Hospital outcome (died/survived) Health status at 6 months as measured by HUI2 PIM: Paediatric Index of Mortality PRISM: Paediatric Risk of Mortality
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6 Health Utilities Index (HUI2) A parent/guardian completed 15 item questionnaire providing measures on six dimensions of health: –Sensation (sight, hearing and speech) –Mobility (ability to move around without help) –Emotion (anxious or suffering from nightmares) –Cognition (ability to learn and remember) –Self-care (ability to wash, dress and bathe) –Pain (extent to which pain interferes with usual activities)
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7 Children included All children who survived to PICU discharge were eligible (n = 10,533, 6% unit mortality) Consent was obtained from 3842 admissions, of which 3042 survived to 6 months HUI2 questionnaires sent to 2895 and returned from 2044 Uncertainty of the validity of HUI2 in children <1 year of age led to their exclusion from this analysis Final sample included 1246 children
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8 Characteristics of children with HUI2 data 54% male 54% unplanned admissions 61% received mechanical ventilation Median (quartiles) age at admission was 5.4 (2.1, 10.3) years Median (quartiles) length of stay was 1.2 (0.8, 3.0) days Characteristics were similar for those who survived PICU, those who consented, those who returned a HUI2 and those who did not return a HUI2, e.g. the probability of mortality as measured using PIM was 0.026, 0.027, 0.025 & 0.026 respectively.
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9 Risk adjustment models Used ordinal logistic regression models with a proportional odds assumption Each dimension of the HUI2 was used as an outcome Explanatory variables: probability of mortality as calculated using PIM, PRISM and PRISM III Used the index of concordance (c-index) to assess model discriminatory power (analogous to the ROC area in binary outcomes)
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10 HUI2 Sensation 0 20 40 60 80 1234 Sensation level % C-indexRegression P-value PIM0.56<0.001 PRISM0.530.030 PRISM III0.510.215
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11 HUI2 Mobility C-indexRegression P-value PIM0.58<0.001 PRISM0.530.491 PRISM III0.550.004
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12 HUI2 Emotion C-indexRegression P-value PIM0.530.003 PRISM0.520.368 PRISM III0.540.034
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13 HUI2 Cognition C-indexRegression P-value PIM0.55<0.001 PRISM0.500.366 PRISM III0.520.254
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14 HUI2 Self-care C-indexRegression P-value PIM0.57<0.001 PRISM0.500.433 PRISM III0.520.302
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15 HUI2 Pain C-indexRegression P-value PIM0.520.007 PRISM0.500.841 PRISM III0.540.026
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16 Summary of results Overall, 28% of children were in full health 6 months post admission to paediatric intensive care PIM is associated with all HUI2 dimensions but has limited discriminatory power PRISM and PRISM III are associated with some dimensions but also have limited discriminatory power Additional potential explanatory variables are needed to develop adequate risk adjustments models
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17 Conclusions Mortality following paediatric intensive care is currently around 6% in the UK In determining the quality and performance of PICUs, it is important to take into account variations in the health status of survivors post discharge Morbidity appears to be related to initial illness severity, however this information alone is insufficient to predict long term outcomes
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18 Conclusions In attempting to develop policies to improve longer-term outcomes of children post paediatric intensive care, it may be important to also take into account factors such as co-morbidities, socioeconomic status and the quality of care received by children following discharge from intensive care
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