Reeves, RM;
Hardelid, P;
Panagiotopoulos, N;
Minaji, M;
Warburton, F;
Pebody, R;
(2019)
Burden of hospital admissions caused by respiratory syncytial virus (RSV) in infants in England: A data linkage modelling study.
Journal of Infection
, 78
(6)
pp. 468-475.
10.1016/j.jinf.2019.02.012.
Preview |
Text
HardelidRR_DL_Manuscript_trackedchanges(2).pdf - Accepted Version Download (1MB) | Preview |
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.
| Type: | Article |
|---|---|
| Title: | Burden of hospital admissions caused by respiratory syncytial virus (RSV) in infants in England: A data linkage modelling study |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.jinf.2019.02.012 |
| Publisher version: | https://doi.org/10.1016/j.jinf.2019.02.012 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Respiratory syncytial virus; RSV; data linkage; respiratory tract infection; bronchiolitis; pneumonia; hospital admissions; infants |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > UCL GOS Institute of Child Health > Population, Policy and Practice Dept |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10074130 |
Archive Staff Only
 |
View Item |
