Hospitalization for respiratory syncytial virus infection in young children: development of a clinical prediction rule

Autor: Yvonne Vergouwe, Marianne W. A. Huysman, Henri tte A. Moll, Ronald de Groot, Ewout W. Steyerberg, Edwin Rietveld
Rok vydání: 2006
Předmět:
Microbiology (medical)
Male
medicine.medical_specialty
Pediatrics
Birth weight
Population
Clinical prediction rule
Infant
Premature
Diseases
Respiratory Syncytial Virus Infections
Auto-immunity
transplantation and immunotherapy [N4i 4]
Predictive Value of Tests
Risk Factors
Epidemiology
medicine
Humans
Risk factor
education
education.field_of_study
business.industry
Age Factors
Infant
Newborn
Poverty-related infectious diseases [N4i 3]
Infant
Retrospective cohort study
Infant
Low Birth Weight
medicine.disease
Hospitalization
Pathogenesis and modulation of inflammation [N4i 1]
Low birth weight
Infectious Diseases
Bronchopulmonary dysplasia
Respiratory Syncytial Virus
Human
Pediatrics
Perinatology and Child Health
Female
Microbial pathogenesis and host defense [UMCN 4.1]
medicine.symptom
business
Infant
Premature
Zdroj: Pediatric Infectious Disease Journal, 25, 201-7
Pediatric Infectious Disease Journal, 25, 3, pp. 201-7
ISSN: 0891-3668
DOI: 10.1097/01.inf.0000202135.24485.f8
Popis: Contains fulltext : 50301.pdf (Publisher’s version ) (Closed access) BACKGROUND: Because passive immunization against respiratory syncytial virus (RSV) is costly, its use should be restricted to well-defined groups of high risk children. We aimed to develop a clinical prediction rule that estimates the individual monthly risk of hospitalization for RSV infection in young children. METHODS: A retrospective cohort study was conducted in the southwestern part of The Netherlands. We included children born between January 1, 1996 and December 31, 1998. Children hospitalized for proven RSV infection were compared with children not hospitalized for RSV infection. The monthly risk was estimated with a logistic regression model including 5 clinical predictors (gender, gestational age, birth weight, presence of bronchopulmonary dysplasia and age) and the mean seasonal monthly pattern of RSV infections. We compared the predictive performance of the prediction rule with the guidelines of the American Academy of Pediatrics (AAP). FINDINGS: Information was collected on 2469 hospitalized children and 140,661 children who were 1,181,790 months at risk. All predictors were statistically significant, with age and the seasonal monthly RSV pattern having the strongest effects. The clinical prediction rule that included these predictors could better discriminate between high and low risk children than the AAP guidelines and would potentially reduce the number of immunizations by 20%. INTERPRETATION: The prediction rule reliably estimates individual monthly risks of hospitalization for RSV infection in the population studied. It provides an improved index for passive immunization but further validation in other populations is required.
Databáze: OpenAIRE
Externí odkaz: