Elsevier

Journal of Infection

Volume 78, Issue 6, June 2019, Pages 468-475
Journal of Infection

Burden of hospital admissions caused by respiratory syncytial virus (RSV) in infants in England: A data linkage modelling study

https://doi.org/10.1016/j.jinf.2019.02.012Get rights and content

Highlights

  • Novel methodology using linked data to estimate the hospital burden of RSV.

  • Detailed estimates of RSV-associated admissions and bed days in infants in England.

  • RSV-associated admissions peaked in infants aged 6 weeks.

  • RSV-associated admissions peaked in infants born September to November.

Summary

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.

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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