Burden of hospital admissions caused by respiratory syncytial virus (RSV) in infants in England: A data linkage modelling study.
J Infect
; 78(6): 468-475, 2019 06.
Article
en En
| MEDLINE
| ID: mdl-30817978
ABSTRACT
OBJECTIVES:
Current national estimates of respiratory syncytial virus (RSV)-associated hospital admissions are insufficiently detailed to determine optimal vaccination strategies for RSV. We employ novel methodology to estimate the burden of RSV-associated hospital admissions in infants in England, with detailed stratification by patient and clinical characteristics.METHODS:
We used linked, routinely collected laboratory and hospital data to identify laboratory-confirmed RSV-positive and RSV-negative respiratory hospital admissions in infants in England, then generate a predictive logistic regression model for RSV-associated admissions. We applied this model to all respiratory hospital admissions in infants in England, to estimate the national burden of RSV-associated admissions by calendar week, age in weeks and months, clinical risk group and birth month.RESULTS:
We estimated an annual average of 20,359 (95% CI 19,236-22,028) RSV-associated admissions in infants in England from mid-2010 to mid-2012. These admissions accounted for 57,907 (95% CI 55,391-61,637) annual bed days. 55% of RSV-associated bed days and 45% of RSV-associated admissions were in infants <3 months old. RSV-associated admissions peaked in infants aged 6 weeks, and those born September to November.CONCLUSIONS:
We employed novel methodology using linked datasets to produce detailed estimates of RSV-associated admissions in infants. Our results provide essential baseline epidemiological data to inform future vaccine policy.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Modelos Estadísticos
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Costo de Enfermedad
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Infecciones por Virus Sincitial Respiratorio
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Técnicas de Laboratorio Clínico
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Hospitalización
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
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Prognostic_studies
/
Risk_factors_studies
Límite:
Female
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Humans
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Infant
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Male
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Newborn
País/Región como asunto:
Europa
Idioma:
En
Revista:
J Infect
Año:
2019
Tipo del documento:
Article