OBJECTIVE: To determine predictors of change in the health-related quality of life in survivors to pediatric intensive care, based on preadmission health status, demographic characteristics, and physiological variables. DESIGN: Prospective evaluation of health-related quality of life at PICU admission and after 6 months. SETTING: Three PICUs at tertiary hospitals. PATIENTS: Children aged ≥ 6 yrs admitted to the PICUs between May 2002 and June 2004. INTERVENTIONS: Health Utilities Index Mark 3 questionnaire was administered to a child proxy by direct interview at admission and by telephone interview at follow-up. MEASUREMENTS AND MAIN RESULTS: From the 517 eligible admissions, 44 (8.5%) children died in the PICU and 252 had a follow-up assessment. From a list of 115 analyzed variables, 29 (25%) and 30 (26%) were selected (p < .10) for a multivariable model predicting improvement and deterioration of the health-related quality of life, respectively. In the final models, only mechanical ventilation, preadmission global score of Health Utilities Index Mark 3, and preadmission Health Utilities Index Mark 3 pain attribute were associated with improvement; and main diagnostic group, preadmission Health Utilities Index Mark 3 emotion attribute, and preadmission Health Utilities Index Mark 3 pain attribute were associated with deterioration in the health-related quality of life. CONCLUSIONS: The most common variables used to compute probability of death algorithms were not capable of predicting health-related quality of life in survivors to pediatric intensive care. The preadmission health-related quality of life and trauma admissions are important variables to predict change in the health-related quality of life of children surviving to pediatric intensive care.
OBJECTIVE: To determine predictors of change in the health-related quality of life in survivors to pediatric intensive care, based on preadmission health status, demographic characteristics, and physiological variables. DESIGN: Prospective evaluation of health-related quality of life at PICU admission and after 6 months. SETTING: Three PICUs at tertiary hospitals. PATIENTS: Children aged ≥ 6 yrs admitted to the PICUs between May 2002 and June 2004. INTERVENTIONS: Health Utilities Index Mark 3 questionnaire was administered to a child proxy by direct interview at admission and by telephone interview at follow-up. MEASUREMENTS AND MAIN RESULTS: From the 517 eligible admissions, 44 (8.5%) children died in the PICU and 252 had a follow-up assessment. From a list of 115 analyzed variables, 29 (25%) and 30 (26%) were selected (p < .10) for a multivariable model predicting improvement and deterioration of the health-related quality of life, respectively. In the final models, only mechanical ventilation, preadmission global score of Health Utilities Index Mark 3, and preadmission Health Utilities Index Mark 3pain attribute were associated with improvement; and main diagnostic group, preadmission Health Utilities Index Mark 3 emotion attribute, and preadmission Health Utilities Index Mark 3pain attribute were associated with deterioration in the health-related quality of life. CONCLUSIONS: The most common variables used to compute probability of death algorithms were not capable of predicting health-related quality of life in survivors to pediatric intensive care. The preadmission health-related quality of life and trauma admissions are important variables to predict change in the health-related quality of life of children surviving to pediatric intensive care.
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