Literature DB >> 28058797

Estimating the burden of respiratory syncytial virus (RSV) on respiratory hospital admissions in children less than five years of age in England, 2007-2012.

Rachel Melanie Reeves1,2,3, Pia Hardelid1,2, Ruth Gilbert1,2, Fiona Warburton4, Joanna Ellis5, Richard G Pebody3.   

Abstract

BACKGROUND: Respiratory syncytial virus (RSV) is a leading cause of hospital admission in young children. With several RSV vaccines candidates undergoing clinical trials, recent estimates of RSV burden are required to provide a baseline for vaccine impact studies.
OBJECTIVES: To estimate the number of RSV-associated hospital admissions in children aged <5 years in England over a 5-year period from 2007 using ecological time series modelling of national hospital administrative data. PATIENTS/
METHODS: Multiple linear regression modelling of weekly time series of laboratory surveillance data and Hospital Episode Statistics (HES) data was used to estimate the number of hospital admissions due to major respiratory pathogens including RSV in children <5 years of age in England from mid-2007 to mid-2012, stratified by age group (<6 months, 6-11 months, 1-4 years) and primary diagnosis: bronchiolitis, pneumonia, unspecified lower respiratory tract infection (LRTI), bronchitis and upper respiratory tract infection (URTI).
RESULTS: On average, 33 561 (95% confidence interval 30 429-38 489) RSV-associated hospital admissions in children <5 years of age occurred annually from 2007 to 2012. Average annual admission rates were 35.1 (95% CI: 32.9-38.9) per 1000 children aged <1 year and 5.31 (95% CI: 4.5-6.6) per 1000 children aged 1-4 years. About 84% (95% CI: 81-91%) of RSV-associated admissions were for LRTI. The diagnosis-specific burden of RSV-associated admissions differed significantly by age group.
CONCLUSIONS: RSV remains a significant cause of hospital admissions in young children in England. Individual-level analysis of RSV-associated admissions is required to fully describe the burden by age and risk group and identify optimal prevention strategies.
© 2017 The Authors. Influenza and Other Respiratory Viruses Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  England; bronchiolitis; bronchitis; child; hospital admissions; pneumonia; respiratory syncytial virus

Mesh:

Substances:

Year:  2017        PMID: 28058797      PMCID: PMC5304572          DOI: 10.1111/irv.12443

Source DB:  PubMed          Journal:  Influenza Other Respir Viruses        ISSN: 1750-2640            Impact factor:   4.380


Background

Respiratory syncytial virus (RSV) is a major cause of respiratory tract infections (RTI) worldwide.1 In older children and adults, RSV infection often leads to mild upper respiratory tract infection (URTI). However, in infants and young children, RSV is an important cause of severe respiratory infection, particularly bronchiolitis, which may require hospital admission.2 With a number of RSV vaccine candidates now in phase 2 and 3 clinical trials, it is essential to have accurate estimates of the hospital burden of RSV by age and risk group in order to determine the potential benefits of a future vaccine programme.3 Calculating the national burden of disease due to RSV is not straightforward. A reliable diagnosis of RSV infection relies on the detection of RSV in respiratory secretions, but only a minority of children hospitalised with an acute respiratory infection will undergo laboratory testing to identify the causal pathogen.4 The vast majority of respiratory infections are therefore recorded in hospital admission data under non‐specific diagnosis such as unspecified pneumonia or bronchiolitis. Hospital admission data alone can therefore not be used to accurately calculate the burden of RSV in secondary care. Respiratory pathogens have varying temporal patterns which can be observed using laboratory surveillance data. Statistical models which utilise the seasonal variation in laboratory reports by pathogen can be constructed to attribute hospital admissions to different viruses.4, 5 This method of estimating the hospital burden of RSV has previously been used in the UK; however, the most recent study only considers data up to 2009.4, 5, 6 Surveillance of respiratory viruses including RSV has been strengthened in England since the 2009 influenza A (H1N1) pandemic, with more widespread use of laboratory confirmation for respiratory viruses with PCR methods, and a greater degree of reporting to national surveillance schemes.7 In addition, a recent study in the UK demonstrates that hospital admission due to bronchiolitis is increasing over time.8 These developments emphasise the need for more recent estimates of RSV‐associated hospital admissions as previous estimates may not reflect the current burden of disease. The aim of this work was to estimate the number of hospital admissions attributable to RSV in children <5 years of age in England in the period from mid‐2007 to mid‐2012 using ecological time series modelling of national laboratory surveillance and hospital administrative data.

Methods

Data sources

National laboratory reports

The Second Generation Surveillance System (SGSS)—formerly LabBase2—is a microbiology laboratory surveillance database at the Centre for Infectious Disease Surveillance and Control (CIDSC) at Public Health England (PHE), the national centre responsible for infectious disease surveillance, prevention and control. Positive test results for microorganisms recorded in SGSS are collected from local pathology systems transmitted from PHE, NHS and private microbiology laboratories in England.9 All clinically significant microorganisms should be reported, although no guidelines for the judgement of clinical significance are defined. Weekly laboratory reports of samples positive for RSV, influenza A, influenza B, rhinovirus, parainfluenza, human metapneumovirus (hMPV), adenovirus, Streptococcus pneumoniae, Mycoplasma pneumoniae and Haemophilus influenza in children <5 years of age (at the time of the sample) in England from calendar week 27 (mid‐July) in 2007 to calendar week 28 (mid‐July) in 2012 were extracted. If individuals had multiple positive samples for the same virus within a two‐week period, only one record was included in this analysis—this was to avoid multiple tests in the same individual within the same infection episode being counted as separate infections.

Hospital Episode Statistics (HES)

The Hospital Episode Statistics (HES) admitted patient care database, held by the Health and Social Care Information Centre (HSCIC), contains routinely collected data on all admissions to all NHS hospitals in England. Records include clinical, geographical and administrative information including admission and discharge dates, on every patient. In this analysis, an admission refers to a single HES spell—from admission to discharge in one hospital. Diagnoses are recorded in HES using International Classification of Diseases 10th Revision (ICD‐10) codes, with up to 20 diagnosis codes allowed per HES episode. Each admission is allocated a primary diagnosis which is the main reason for the length of stay in hospital. All admissions with a primary diagnosis of ICD‐10 codes for bronchiolitis (ICD‐10 J21), pneumonia (J12‐18), unspecified lower respiratory tract infection (LRTI) (J22), bronchitis (J20) and upper respiratory tract infection (URTI) (J00‐06) in children <5 years of age (at admission) in England from calendar week 27 in 2007 to calendar week 26 in 2012 were included in the study. Calendar weeks were defined as blocks of 7 days beginning on 1st January each year, with week 52 allowed to have more than 7 days. Only the primary diagnosis was included to avoid double counting of admissions which may have two or more of these diagnoses. HES data were not available for 2013 onwards. The weekly number of hospital admissions was stratified into three groups: <6 months, 6‐11 months and 1‐4 years.

Statistical analysis

In this study, we use the observed temporal variation in weekly laboratory reports of potential causative pathogens to estimate the number of RTI hospital admissions that could be attributed to RSV, building on methods applied in previous modelling studies.4, 10, 11 Separate models were developed for each primary diagnosis, using the weekly number of hospital admissions in children <5 years of age in England for each respective diagnosis as the dependent variable. For each diagnosis, separate models were constructed by age group (<6 months, 6‐11 months, 1‐4 years). Multiple linear regression models were used to estimate the number of hospital admissions due to RSV from HES data coded as acute bronchiolitis, pneumonia, unspecified LRTI, bronchitis and URTI. These models have been used in similar studies.4, 10, 12, 13 All models used the weekly number of laboratory‐confirmed episodes in children <5 years of age in England for the following pathogens as the independent variables: RSV, influenza A, influenza B, rhinovirus, parainfluenza, human metapneumovirus (hMPV) and adenovirus. The weekly number of laboratory‐confirmed episodes of Streptococcus pneumoniae, Mycoplasma pneumoniae and Haemophilus influenza in children <5 years of age in England was also included as independent variables in the models for pneumonia and unspecified LRTI. All variables were first included in the models, then those with negative coefficients removed (in order of decreasing significance) due to biological implausibility (pathogens cannot cause a negative number of hospital admissions), followed by those that did not contribute significantly to the model (F‐test P>.05). Interactions between all pathogens in the final model were investigated (P≤.01 was considered significant) due to the potential for co‐circulation of pathogens. Interactions between pathogens in the final model and an indicator variable taking the value 0 for the pre‐pandemic period (before week 20 2009) and 1 for the pandemic and post‐pandemic period were investigated to account for potential changes in testing practice following the 2009 influenza pandemic (P≤.01 was considered significant). Final estimates of the number of hospital admissions attributable to each pathogen (including 95% confidence intervals (CIs)) were calculated by multiplying the coefficient from the final model by the total number of weekly laboratory‐confirmed episodes for each relevant pathogen. The total number of hospital admissions for all children <5 years old was calculated as the sum of the number of hospital admissions calculated in each age group for each pathogen. Admission rates were calculated using ONS mid‐year population estimates for England by age group (<1 year, 1‐4 years).14, 15 The average of ONS mid‐year population estimates for 2007 and 2008 was used as the denominator for the 2007/2008 epidemiological year and the average of ONS mid‐year population estimates for 2008 and 2009 used for the 2008/2009 epidemiological year, etc.

Results

Seasonality of laboratory reports and hospital admissions

The temporal variation in laboratory reports by pathogen is shown in Figure 1. The temporal trends in hospital admissions for children <5 years old in England with a primary diagnosis of bronchiolitis, pneumonia, bronchitis, unspecified LRTI or URTI are shown in Figure 2. Hospital admissions with a primary diagnosis of bronchiolitis were markedly seasonal and mirror the pattern of laboratory‐confirmed RSV infections. Hospital admissions with a primary diagnosis of pneumonia had a very similar seasonal pattern to hospital admissions with a primary diagnosis of unspecified LRTI, with peaks also occurring at the same time as the peaks in laboratory‐confirmed RSV infections in SGSS each year (Figure 2).
Figure 1

Weekly number of laboratory‐confirmed cases of major respiratory viruses recorded in SGSS for children <5 y of age, over time

Figure 2

Weekly number of hospital admissions in children <5 y of age in England with any diagnosis of URTI, bronchiolitis, pneumonia, bronchitis or unspecified LRTI. Weekly number of laboratory‐confirmed RSV infections in children <5 y of age in England (SGSS) shown in orange

Weekly number of laboratory‐confirmed cases of major respiratory viruses recorded in SGSS for children <5 y of age, over time Weekly number of hospital admissions in children <5 y of age in England with any diagnosis of URTI, bronchiolitis, pneumonia, bronchitis or unspecified LRTI. Weekly number of laboratory‐confirmed RSV infections in children <5 y of age in England (SGSS) shown in orange

Estimated RSV‐associated hospital admissions

All RTI admissions

Of the 121 968 hospital admissions with a primary diagnosis of bronchiolitis, pneumonia, bronchitis, unspecified LRTI or URTI that occurred annually in children <5 years of age from mid‐2007 to mid‐2012, we estimate that 28% (33 561/121 968, 95% CI: 25‐32%) were due to RSV. Of RSV‐associated RTI hospital admissions, 48% (16 202/33 561, 95% CI: 46‐52%) were in children <6 months of age, 21% (7108/33 561, 95% CI: 19‐25%) were in children 6‐11 months of age, and 31% (10 251/33 561, 95% CI: 26‐38%) were in children aged 1‐4 years (Table 1). The majority, 84% (28 111/33 561, 95% CI: 81‐91%), of RSV‐associated RTI hospital admissions were for LRTI. About 65% (21 418/33 561, 95% CI: 62‐70%) of RSV‐associated hospital admissions were coded as bronchiolitis (Tables 1 and 2).
Table 1

Average annual number of hospital admissions in children <5 y of age in England: total per primary diagnosis and number estimated to be attributed to RSV by the final models, stratified by age group (<6 mo, 6‐11 mo, 1‐4 y)

Primary diagnosisAnnual number of hospital admissions (95% CI)
<6 mo6‐11 mo1‐4 yTotal
Bronchiolitis
Total18 2467652207127 969
RSV‐associated14 962 (14 396‐15 942)5319 (5066‐5775)1549 (1467‐1631)21 830 (20 929‐23 348)
Pneumonia
Total739129475039537
RSV‐associated138 (101‐158)285 (245‐324)1923 (1 718‐2 128)2346 (2064‐2610)
Bronchitis
Total159113276547
RSV‐associated89 (76‐113)41 (29‐62)39 (23‐55)169 (128‐230)
Unspecified LRTI
Total1224254611 69015 461
RSV‐associated71 (37‐104)429 (322‐619)3266 (3007‐3525)3766 (3366‐4248)
URTI
Total886812 73746 85068 455
RSV‐associated942 (802‐1082)1034 (742‐1559)3474 (2398‐5412)5450 (3222‐8053)
Total29 23624 34268 390121 968
Total RSV‐associated16 202 (15 412‐17 399)7108 (6404‐8339)10 251 (8613‐12 751)33 561(30 429‐38 489)
Table 2

Total RTI hospital admissions estimated to be due to RSV by the final models, stratified by age group (<6 mo, 6‐11 mo, 1‐4 y) and primary diagnosis, as a percentage of the total hospital admissions for the respective primary diagnosis

Primary diagnosisPercentage of annual hospital admissions (per primary diagnosis) attributed to RSV (95% CI)
<6 mo6‐11 mo1‐4 yTotal
Bronchiolitis82% (79‐87%)70% (66‐75%)75% (71‐79%)78% (75‐83%)
Pneumonia19% (14‐28%)22% (19‐25%)26% (23‐28%)25% (22‐27%)
Bronchitis56% (48‐71%)37% (28‐55%)14% (8‐20%)31% (23‐42%)
Unspecified LRTI6% (3‐8%)17% (13‐24%)28% (26‐30%)24% (22‐27%)
URTI11% (9‐12%)8% (6‐12%)7% (5‐12%)8% (5‐12%)
Average annual number of hospital admissions in children <5 y of age in England: total per primary diagnosis and number estimated to be attributed to RSV by the final models, stratified by age group (<6 mo, 6‐11 mo, 1‐4 y) Total RTI hospital admissions estimated to be due to RSV by the final models, stratified by age group (<6 mo, 6‐11 mo, 1‐4 y) and primary diagnosis, as a percentage of the total hospital admissions for the respective primary diagnosis On average, the estimated admission rate of any RSV‐associated RTI hospital admission was 35.1 (95% CI: 32.9‐38.9) per 1000 children <1 year of age and 5.31 (95% CI: 4.5‐6.6) per 1000 children 1‐4 years of age, per epidemiological year (Table 3). Estimated rates of RSV‐associated hospital admissions were, on average, higher in <1‐year‐olds for all diagnoses except unspecified LRTI, where admission rates in 1‐ to 4‐year‐olds were higher (Table 3). All LRTI admission rates increased in both age groups over time, peaking in 2010/2011 (the RSV season following the 2009 influenza A (H1N1) pandemic, which was an intense seasonal influenza season dominated by A/H1N1pdm09) and with a slight decrease in 2011/2012 for all diagnoses except pneumonia. Admissions for URTI decreased over the study period, particularly in the 1‐4 years of age group which saw a 70% decrease from 2.9 (95% CI: 2.5‐3.4) admissions per 1000 children in 2007/2008 to 0.9 (95% CI: 0.3‐2.1) per 1000 children in 2011/2012. The percentage of weekly hospital admissions attributed to RSV varied by calendar week for all primary diagnoses and age groups (Figure 3).
Table 3

Estimated admission rates of RSV‐associated hospital admissions per 1000 children <5 y of age in England

Estimated admission rate of RSV‐associated hospital admissions (per 1000) (95% CI)
Age group2007/82008/92009/102010/112011/12Average
URTI<1 y3.00 (2.50‐3.50)3.41 (2.84‐3.41)2.73 (2.03‐4.00)3.00 (2.23‐4.39)2.59 (1.92‐3.79)2.95 (2.31‐3.93)
1‐4 y2.94 (2.49‐3.38)3.29 (2.79‐3.29)0.95 (0.35‐2.27)1.04 (0.38‐2.48)0.90 (0.33‐2.14)1.82 (1.27‐2.81)
Bronchiolitis<1 y27.1 (26.2‐28.1)30.8 (29.8‐31.9)30.5 (29.2‐33.4)33.6 (32.1‐36.7)29.0 (27.7‐31.7)30.2 (29.0‐32.3)
1‐4 y0.64 (0.60‐0.67)0.72 (0.68‐0.76)0.87 (0.82‐0.91)0.94 (0.89‐0.99)0.82 (0.77‐0.86)0.90 (0.75‐0.84)
Unspecified LRTI<1 y0.40 (0.24‐0.57)0.46 (0.27‐0.65)0.93 (0.70‐1.36)1.03 (0.78‐1.50)0.89 (0.67‐1.29)0.74 (0.53‐1.07)
1‐4 y1.34 (1.24‐1.45)1.52 (1.40‐1.64)1.82 (1.68‐1.97)1.99 (1.83‐2.15)1.72 (1.58‐1.86)1.68 (1.55‐1.81)
Pneumonia<1 y0.54 (0.45‐0.63)0.62 (0.52‐0.72)0.65 (0.53‐0.84)0.72 (0.58‐0.93)2.69 (2.28‐3.16)1.04 (0.87‐1.26)
1‐4 y0.79 (0.71‐0.88)0.89 (0.81‐0.99)1.07 (0.96‐1.19)1.17 (1.05‐1.30)1.01 (0.91‐1.12)0.99 (0.88‐1.09)
Bronchitis<1 y0.21 (0.18‐0.24)0.24 (0.20‐0.27)0.17 (0.13‐0.26)0.19 (0.15‐0.29)0.17 (0.13‐0.25)0.20 (0.16‐0.26)
1‐4 y0.02 (0.01‐0.02)0.02 (0.01‐0.03)0.02 (0.01‐0.03)0.02 (0.01‐0.03)0.02 (0.01‐0.03)0.02 (0.01‐0.03)
Total<1 y31.3 (29.5‐33.0)35.6 (33.6‐37.6)35.0 (32.6‐39.8)38.5 (35.9‐43.8)35.5 (32.7‐40.1)35.1 (32.9‐38.9)
1‐4 y5.73 (5.05‐6.40)6.43 (5.67‐7.20)4.74 (3.82‐6.37)5.17 (4.17‐6.95)4.47 (3.61‐6.01)5.31 (4.46‐6.59)
Figure 3

Percentage of total weekly hospital admissions due to RSV for each primary diagnosis, by age group

Estimated admission rates of RSV‐associated hospital admissions per 1000 children <5 y of age in England Percentage of total weekly hospital admissions due to RSV for each primary diagnosis, by age group

LRTI admissions: bronchiolitis, pneumonia, bronchitis and unspecified LRTI

Overall, 53% (28 111/53 514, 95% CI: 51‐57%) of LRTI admissions in children <5 years of age could be attributed to RSV, and 54% (15 260/28 111, 95% CI: 52‐58%) of RSV‐associated LRTIs were in infants <6 months old (Table 1). Of RSV‐associated LRTI admissions, 78% (21 830/28 111, 95% CI: 74‐83%) were coded as bronchiolitis, 13% (3766/28 111, 95% CI: 12‐15%) were coded as unspecified LRTI, 8% (2346/28 111, 95% CI: 7‐9%) were coded as pneumonia, and <1% (169/28 111) were coded as bronchitis. There was an annual average of 27 969 hospital admissions with a primary diagnosis of bronchiolitis in children <5 years of age in England from 2007 to 2012. We estimate that approximately 78% (21 830/27 969, 95% CI: 75‐83%) of these were due to RSV (Tables 1 and 2). There were differences by age, with approximately 82% (14 962/18 246, 95% CI: 79‐87%) of all bronchiolitis admissions in children aged <6 months attributable to RSV, 70% (5319/7652, 95% CI: 66‐75%) of bronchiolitis admissions in children aged 6‐11 months attributable to RSV and 75% (1549/2071, 95% CI: 71‐79%) of bronchiolitis admissions in children aged 1‐4 years attributable to RSV (Table 2). During the period from calendar week 46 to week 2, over 90% of bronchiolitis admissions in children aged <6 months and over 80% in children aged 6‐11 months and 1‐4 years were attributable to RSV each week (Figure 3). The other explanatory pathogens for bronchiolitis admissions were parainfluenza, hMPV and rhinovirus, with differences in causal pathogens by age (see Supplementary Data). There was an annual average of 9537 hospital admissions with a primary diagnosis of pneumonia in children <5 years of age in England from 2007 to 2012. We estimate that approximately 25% (2346/9537, 95% CI: 22‐27%) of these were due to RSV (Table 1). There were differences by age, with approximately 26% (1923/7503, 95% CI: 23‐28%) of pneumonia admissions in children aged 1‐4 years attributable to RSV compared to 19% in children aged <6 months (138/739, 95% CI: 14‐28%). The other main explanatory pathogens for hospital admissions with a primary diagnosis of pneumonia in children <5 years of age were S. pneumoniae, hMPV, parainfluenza, influenza A and rhinovirus, with differences in causal pathogens by age. There was an annual average of 547 hospital admissions with a primary diagnosis of acute bronchitis in children <5 years of age in England from 2007 to 2012. We estimate that approximately 31% (169/547, 95% CI: 23‐42%) of these were due to RSV (Table 1). There were differences by age, with approximately 56% (89/159, 95% CI: 48‐71%) of bronchitis hospital admissions in children <6 months of age attributed to RSV, compared to only 14% (39/276, 95% CI: 8‐20%) in children aged 1‐4 years (Table 2). The other explanatory pathogens for hospital admissions with a primary diagnosis of bronchitis were parainfluenza and adenovirus in children aged 1‐4 years only. There was an annual average of 15 461 hospital admissions with a primary diagnosis of unspecified LRTI in children <5 years of age in England from 2007 to 2012. We estimate that approximately 24% (3766/15 461, 95% CI: 22‐27%) of these were due to RSV. There were differences by age, with approximately 28% (3266/11 690, 95% CI: 26‐30%) of unspecified LRTI hospital admissions in children aged 1‐4 years of age attributed to RSV, compared to only approximately 6% (71/1224, 95% CI: 3‐8%) in children <6 months of age (Table 2). The other main explanatory pathogens for hospital admissions with a primary diagnosis of unspecified LRTI in children <5 years of age were adenovirus, S. pneumoniae, hMPV, parainfluenza, rhinovirus and influenza A, with differences in causal pathogens by age.

URTI admissions

From 2007 to 2012, there was an annual average of 68 455 hospital admissions with a primary diagnosis of URTI in children <5 years of age in England. We estimate that approximately 8% (5450/68 455, 95% CI: 5‐12%) of these were due to RSV (Table 1). There were no significant differences in the percentage of URTI admissions attributable to RSV by age group, although a slightly higher percentage of admissions in children <6 months of age were attributed to RSV (11%, 942/8868, 95% CI: 9‐12%). The other explanatory pathogens for hospital admissions with a primary diagnosis of URTI were influenza A, parainfluenza and adenovirus. The number of hospital admissions attributed to each pathogen in each final model is shown in Table S1.

Discussion

Every year, approximately 33 561 (95% CI: 30 429‐38 489) hospital admissions for RTIs in children <5 years of age from 2007 to 2012 could be attributed to RSV. This represents annual RSV‐associated RTI admission rates of 35.1 (95% CI: 32.9‐38.9) per 1000 children <1 year of age and 5.31 (95% CI: 4.5‐6.6) per 1000 children 1‐4 years of age. The vast majority of these RSV‐associated admissions (84%, 95% CI: 81‐91%) were coded as LRTIs. Of the RSV‐associated LRTIs, nearly half were in children aged <6 months (48%, 95% CI: 46‐52%). Approximately 82% (95% CI: 79‐87%) of hospital admissions for bronchiolitis in children aged <6 months could be attributed to RSV. Our study is the first to determine burden of RSV‐associated respiratory hospital admissions in children in England according to primary diagnosis and age group. Our study uses smaller age groupings than previous studies to more precisely reflect the differences in RSV‐associated illness by age. Our study is also the first to estimate the burden of RSV in England in the post‐2009 influenza A (H1N1) pandemic era. However, the methods used here do have potential limitations. Firstly, our models assume that the temporal variation in laboratory reports of the causative agents is an accurate representation of their relative incidence over time. The results will be biased if this is not the case (ie due to seasonal changes in laboratory testing or reporting). Secondly, there may be other reasons for temporal variations that are not accounted for in this analysis (eg meteorological variables), and it is possible that some hospital admissions could be attributed to other pathogens with similar temporal patterns to those that we have considered (eg other bacterial pathogens).10 Thirdly, it is possible that age‐related differences in testing practices may have impacted our quantitative estimates—particularly those for influenza‐associated admissions. However, that our results demonstrate a significantly higher burden of RSV‐associated hospital admissions in young children compared to other respiratory pathogens, including influenza, is consistent with the results of previous studies.16, 17, 18 Finally, as we restricted hospital admissions to those with a primary diagnosis of URTI or LRTI, our results are likely to be an underestimate of the true burden of RSV‐associated hospital admissions. Previous estimates of RSV burden in secondary care in England range from 26 500 to 29 160 RSV‐associated hospital admissions per year in children <5 years of age—all lower than our estimate of 33 561 (95% CI: 30 429‐38 489) RSV‐associated admissions, which is probably due to those studies considering earlier time periods.4, 5, 6, 10 Our study found a steady, general increase in the admission rates of RSV‐associated LRTI hospital admissions from 2007/2008 to 2011/2012, peaking during the 2010/2011 season. There are a number of potential explanations for this increase over time. Our models are sensitive to the number of positive laboratory tests; therefore, our results could be affected by a change in the relative sensitivity or specificity of the assays for the different pathogens over time, although the majority of laboratories have been using RT‐PCR for most of the study period. However, from 1999 to 2010, there has been an increase of 28% in emergency hospital admissions in children <5 years of age, particularly admissions for acute illness, and the annual number of hospital admissions due to bronchiolitis in young children in the UK has also increased sevenfold between 1979 and 2011.8, 19 This evidence suggests that the increase is not due to an increase in the severity of infection, nor the virulence of RSV in the age group, because paediatric intensive care admission rates have changed little from 2004 to 2012.8 Instead, these trends are likely due to a general increase in hospital admission, potentially due to hospital admission thresholds being lowered (particularly in the younger infants) or failure to manage these acute illnesses in the community care setting.20 Our study found a high burden of RSV‐associated hospital admissions in children <6 months of age, a group well documented as being at high risk of RSV‐associated hospital admission. 21 However, our study also found a high number of RSV‐associated pneumonia and unspecified LRTI admissions in children aged 1‐4 years. RSV was the pathogen associated with the highest number of admissions for all types of LRTI in all age groups compared to the other pathogens, except for pneumonia and unspecified LRTI in children aged <6 months and 6‐11 months. It is therefore possible that RSV‐associated hospital admissions are more likely to be coded as bronchiolitis in young infants, but as pneumonia or unspecified LRTI in children older than one year. As this analysis is at the population level, it is not possible to investigate individual‐level risk factors for RSV‐associated hospital admission or additional outcomes indicating the severity of illness such as length of stay or admission to paediatric intensive care. Individual‐level analysis of RSV‐associated hospital admission could be achieved through linkage of laboratory surveillance data and hospital admissions data, as demonstrated in Western Australia.22 In conclusion, RSV is a significant cause of hospital admissions for LRTI in children <5 years of age in England. Large‐scale individual‐level analysis of RSV‐associated hospital admissions in young children in secondary care in England is required to compare the severity of cases by age. This work provides a baseline for vaccine impact studies if such vaccines are introduced into the UK immunisation programme in the future. Click here for additional data file.
  18 in total

Review 1.  Environmental and demographic risk factors for respiratory syncytial virus lower respiratory tract disease.

Authors:  Eric A F Simoes
Journal:  J Pediatr       Date:  2003-11       Impact factor: 4.406

2.  Assessing the burden of influenza and other respiratory infections in England and Wales.

Authors:  R J Pitman; A Melegaro; D Gelb; M R Siddiqui; N J Gay; W J Edmunds
Journal:  J Infect       Date:  2006-11-09       Impact factor: 6.072

3.  A new laboratory-based surveillance system (Respiratory DataMart System) for influenza and other respiratory viruses in England: results and experience from 2009 to 2012.

Authors:  H Zhao; H Green; A Lackenby; M Donati; J Ellis; C Thompson; A Bermingham; J Field; P Sebastianpillai; M Zambon; Jm Watson; R Pebody
Journal:  Euro Surveill       Date:  2014-01-23

4.  Influenza A and respiratory syncytial virus hospital burden in young children in East London.

Authors:  E K Ajayi-Obe; P G Coen; R Handa; K Hawrami; C Aitken; E D G McIntosh; R Booy
Journal:  Epidemiol Infect       Date:  2007-09-28       Impact factor: 2.451

5.  Incidence of Medically Attended Respiratory Syncytial Virus and Influenza Illnesses in Children 6-59 Months Old During Four Seasons.

Authors:  Melissa D Simpson; Burney A Kieke; Maria E Sundaram; David L McClure; Jennifer K Meece; Frangiscos Sifakis; Robert A Gasser; Edward A Belongia
Journal:  Open Forum Infect Dis       Date:  2016-04-21       Impact factor: 3.835

6.  Estimating the burden of respiratory syncytial virus (RSV) on respiratory hospital admissions in children less than five years of age in England, 2007-2012.

Authors:  Rachel Melanie Reeves; Pia Hardelid; Ruth Gilbert; Fiona Warburton; Joanna Ellis; Richard G Pebody
Journal:  Influenza Other Respir Viruses       Date:  2017-01-21       Impact factor: 4.380

7.  Use of data linkage to investigate the aetiology of acute lower respiratory infection hospitalisations in children.

Authors:  Hannah C Moore; Nicholas de Klerk; Anthony D Keil; David W Smith; Christopher C Blyth; Peter Richmond; Deborah Lehmann
Journal:  J Paediatr Child Health       Date:  2011-11-14       Impact factor: 1.954

8.  Admission to hospital for bronchiolitis in England: trends over five decades, geographical variation and association with perinatal characteristics and subsequent asthma.

Authors:  Christopher A Green; David Yeates; Allie Goldacre; Charles Sande; Roger C Parslow; Philip McShane; Andrew J Pollard; Michael J Goldacre
Journal:  Arch Dis Child       Date:  2015-09-04       Impact factor: 3.791

9.  Modelling estimates of the burden of Respiratory Syncytial virus infection in adults and the elderly in the United Kingdom.

Authors:  Douglas M Fleming; Robert J Taylor; Roger L Lustig; Cynthia Schuck-Paim; François Haguinet; David J Webb; John Logie; Gonçalo Matias; Sylvia Taylor
Journal:  BMC Infect Dis       Date:  2015-10-23       Impact factor: 3.090

10.  The contribution of respiratory pathogens to the seasonality of NHS Direct calls.

Authors:  D L Cooper; G E Smith; W J Edmunds; C Joseph; E Gerard; R C George
Journal:  J Infect       Date:  2007-06-20       Impact factor: 6.072

View more
  36 in total

1.  Modelled estimates of hospitalisations attributable to respiratory syncytial virus and influenza in Australia, 2009-2017.

Authors:  Allen L Nazareno; David J Muscatello; Robin M Turner; James G Wood; Hannah C Moore; Anthony T Newall
Journal:  Influenza Other Respir Viruses       Date:  2022-06-30       Impact factor: 5.606

2.  Maternal RSV vaccine development. Where to from here?

Authors:  Ahinsa Gunatilaka; Michelle L Giles
Journal:  Hum Vaccin Immunother       Date:  2021-09-09       Impact factor: 4.526

Review 3.  Respiratory syncytial virus seasonality and its implications on prevention strategies.

Authors:  Sophie Janet; Jonathan Broad; Matthew D Snape
Journal:  Hum Vaccin Immunother       Date:  2017-12-15       Impact factor: 3.452

4.  Typical RSV cough: myth or reality? A diagnostic accuracy study.

Authors:  Mirjam Binnekamp; Karlijn J van Stralen; Larissa den Boer; Marlies A van Houten
Journal:  Eur J Pediatr       Date:  2020-06-13       Impact factor: 3.183

5.  Geospatial and seasonal variation of bronchiolitis in England: a cohort study using hospital episode statistics.

Authors:  Kate Marie Lewis; Bianca De Stavola; Pia Hardelid
Journal:  Thorax       Date:  2020-01-20       Impact factor: 9.139

Review 6.  Pediatric Infectious Disease Group (GPIP) position paper on the immune debt of the COVID-19 pandemic in childhood, how can we fill the immunity gap?

Authors:  Robert Cohen; Marion Ashman; Muhamed-Kheir Taha; Emmanuelle Varon; François Angoulvant; Corinne Levy; Alexis Rybak; Naim Ouldali; Nicole Guiso; Emmanuel Grimprel
Journal:  Infect Dis Now       Date:  2021-05-12

7.  Hospitalization rate of respiratory syncytial virus-associated acute lower respiratory infection among young children in Suzhou, China, 2010-2014.

Authors:  Shaolong Ren; Ting Shi; Wei Shan; Si Shen; Qinghui Chen; Wanqing Zhang; Zirui Dai; Jian Xue; Tao Zhang; Jianmei Tian; Genming Zhao
Journal:  Influenza Other Respir Viruses       Date:  2022-01-05       Impact factor: 5.606

8.  Burden of paediatric respiratory syncytial virus disease and potential effect of different immunisation strategies: a modelling and cost-effectiveness analysis for England.

Authors:  Deborah Cromer; Albert Jan van Hoek; Anthony T Newall; Andrew J Pollard; Mark Jit
Journal:  Lancet Public Health       Date:  2017-07-31

9.  Estimating the burden of respiratory syncytial virus (RSV) on respiratory hospital admissions in children less than five years of age in England, 2007-2012.

Authors:  Rachel Melanie Reeves; Pia Hardelid; Ruth Gilbert; Fiona Warburton; Joanna Ellis; Richard G Pebody
Journal:  Influenza Other Respir Viruses       Date:  2017-01-21       Impact factor: 4.380

10.  Seasonality and geographical spread of respiratory syncytial virus epidemics in 15 European countries, 2010 to 2016.

Authors:  Eeva K Broberg; Matti Waris; Kari Johansen; René Snacken; Pasi Penttinen
Journal:  Euro Surveill       Date:  2018-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.