Factors Associated With Health-Related Quality of Life Changes in Survivors to Pediatric Intensive Care

• Type: Article in International Scientific Journal
• Date: 2013

Authors

Cunha, F (Author) Other; Mota, T (Author) Other; Teixeira-Pinto A (Author) FMUP; Carvalho, L (Author) Other; Estrada, J (Author) Other; Marques, A (Author) Other; Costa-Pereira A (Author) FMUP; Almeida Santos, L (Author) Other

Journal

Title: Pediatric Critical Care Medicine

Vol. 14

Pages: E8-E15

ISSN: 1529-7535

Publisher: Wolters Kluwer Health

Indexing

ISI Web of Knowledge - 2 Citations

Scopus - 3 Citations

Other information

Authenticus ID: P-002-1Y3

DOI: 10.1097/pcc.0b013e31826012b4

Abstract (EN): 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. (Pediatr Crit Care Med 2013; 14:e8-e15)

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8