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Pediatr Crit Care Med ; 10(1): 41-4, 2009 Jan.
Article in English | MEDLINE | ID: mdl-19057434

ABSTRACT

OBJECTIVE: To investigate the long-term health-related quality of life (HRQOL) outcomes for patients requiring at least 28 days of pediatric intensive care. DESIGN: Retrospective cohort and prospective follow-up study. SETTING: A 21-bed pediatric intensive care unit (PICU) in a university-affiliated, tertiary referral pediatric hospital. PATIENTS: One hundred ninety-three patients who spent 28 days or longer in the PICU between January 1, 1997 and December 31, 2004. INTERVENTIONS: Quality of life was measured using the Pediatric Quality of Life Inventory (Peds QL 4.0) parent-proxy version at 2 to 10 yrs after discharge. The PedsQL 4.0 is a modular measure of HRQOL, which is reliable in children aged 2 to 18 yrs. It generates a total score and physical, emotional, social, school, and psychosocial subscores. MEASUREMENTS AND MAIN RESULTS: Of the 193 patients, 41 died during their PICU admission and 27 died between PICU discharge and follow-up. Quality of life questionnaires were posted to parents of 108 of the 125 survivors and 70 were returned completed. Forty children (57.1%) had scores indicating a normal quality of life, whereas 30 (42.9%) had scores indicating impaired HRQOL. Of these, 14 (20%) had scores indicating poor quality of life with ongoing disabling health problems requiring hospitalization or the equivalent. CONCLUSIONS: Our results indicate that, while long PICU stay is associated with significant mortality, the long-term HRQOL is normal for the majority of surviving children.


Subject(s)
Critical Care/methods , Intensive Care Units, Pediatric , Quality of Life , Adolescent , Age Factors , Child , Child, Preschool , Cohort Studies , Continuity of Patient Care/statistics & numerical data , Critical Illness/therapy , Female , Follow-Up Studies , Hospitals, University , Humans , Ireland , Length of Stay , Long-Term Care , Male , Patient Discharge , Probability , Retrospective Studies , Risk Factors , Sex Factors , Statistics, Nonparametric , Time Factors
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