Burden of hospital admissions caused by respiratory syncytial virus (RSV) in infants in England: A data linkage modelling study
Introduction
Respiratory syncytial virus (RSV) is the most important cause of viral lower respiratory tract illness in young children worldwide, and a major cause of hospital admission in UK infants.1, 2, 3, 4 The majority of the burden of RSV-associated hospital admissions is accounted for by infants less than six months old, particularly those born around the beginning of the RSV season.4, 5 Promising vaccine candidates are now in Phase 2 and 3 clinical trials,6, 7 with several potential future vaccination strategies being considered. These include maternal immunisation to protect neonates, immunisation of very young infants prior to exposure, or a live vaccine targeted to older infants and young children (with the aim of also providing indirect protection to very young infants).8 However, further information on the burden of RSV-associated admissions according to age and underlying chronic conditions is required to determine the optimal target populations for a potential future vaccine.9
Currently available methods of estimating the burden of RSV-associated hospital admissions are not sufficiently detailed to determine optimal vaccination strategies for RSV. Only a minority of hospitalised children presenting with acute respiratory infection undergo laboratory testing to identify the causal pathogen,4 so previous studies of the national burden of RSV have either: (a) relied on clinical coding of bronchiolitis in hospital admission databases as a proxy for RSV-associated hospital admissions, or (b) used time-series modelling methods which utilise the seasonality of RSV and other major respiratory viruses to infer the burden of RSV-associated hospital admissions.4,10, 11, 12 Neither of these approaches are ideal. Not all bronchiolitis admissions are due to RSV, and while estimates based on time series modelling can be stratified by some key characteristics such as age group and diagnosis,4 they are derived from models based on aggregate data using an ecological study design (inferring causality from the temporal association of the hospital admission and laboratory data). Therefore, outcomes from time series models are limited in the detail they provide, and both approaches are subject to bias.
In this study, we use linked, routinely collected laboratory surveillance and hospital admissions data and employed a novel predictive model to estimate the national burden of RSV-associated hospital admissions in infants in England from mid-2010 to mid-2012. Using this individual-level data, we estimate both the number and rate of RSV-associated hospital admissions and the number of RSV-associated bed days, with detailed stratification by sex, age in weeks and months, clinical risk group and month of birth for the first time.
Section snippets
Hospital Episode Statistics (HES)
We used the Hospital Episode Statistics (HES) Admitted Patient Care database, held by National Health Service (NHS) Digital. It contains routinely collected data on all admissions to all National Health Service (NHS) hospitals in England.13 Healthcare is free at the point of use in the NHS, and 99% of hospital activity in England takes place in NHS hospitals. Diagnoses are recorded using International Classification of Diseases 10th Revision (ICD- 10) codes, with up to 20 diagnosis codes
Overview of linked dataset
We included data from 24 out of 179 potential NHS trusts contributing data to HES within the study period (with at least 50 linked RDS records over the study period, and which tested >10% of their total respiratory admissions across the study period), representing 80% of the total RDS-HES linked admissions. There were a total of 6758 linked admissions in infants <1 year old during the study period, with 44% (2947 admissions) positive for RSV. 49% (1445 admissions) of RSV-positive linked
Discussion
Our study is the first to use linked routinely collected laboratory and hospital records to estimate the national secondary care burden of RSV in infants. Using our linked dataset which included both RSV-positive and RSV-negative admissions, we estimate a total annual average of 20,359 (95% CI 19,236-22,028) RSV-associated admissions in infants younger than 1 year of age in England during the two-year period from mid-2010 to mid-2012. These admissions accounted for approximately 57,907 (95% CI
Conflict of interest
The authors have no conflicts of interest to disclose.
Author contributions
RMR, PH and RP designed the study. NP and MM carried out the data linkage. RMR was responsible for data analysis and drafted the manuscript. RMR, PH, RP and FW contributed to data analysis methodology and interpretation. All authors reviewed and edited the final manuscript.
Role of the funding source
The funder had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author had full access to all data in the study and had final responsibility for the decision to submit for publication.
Funding
Farr Institute of Health Informatics Research (grant MR/K006584/1). Research at UCL Great Ormond Street Institute of Child Health is supported by the NIHR Great Ormond Street Hospital Biomedical Research Centre.
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