Age-Distribution in ICD-10 Codes Used to Document Hospitalised RSV Burden in Infants in England

Author(s)

Davidson C1, Boult S2, Hudson R1
1Sanofi UK, Reading, RDG, UK, 2Harvey Walsh, Liverpool, UK

OBJECTIVES: Respiratory Syncytial Virus (RSV) is a leading cause of lower respiratory tract infections and hospitalisations in children1. This study aims to identify and validate RSV related ICD10 codes to determine hospital admission burden in England, particularly those infants <1 year of age.

METHODS: Four RSV related ICD10 codes were identified in the WHO ICD10 dictionary2. These codes (B97.4 Respiratory syncytial virus as the cause of diseases classified to other chapters, J12.1 Respiratory syncytial virus pneumonia, J20.5 Acute bronchitis due to respiratory syncytial virus, J21.0 Acute bronchiolitis due to respiratory syncytial virus) were searched and extracted from the Hospital Episode Statistics (HES) dataset for non-elective admissions, number of patients, bed days, costs, and mean & median age. The date range for the search was 1/4/2017-31/3/2020.

RESULTS: For the four codes, the median and mean ages across the whole population were;

  • B97.4 = 54yo & 47yo
  • J12.1 = 71yo & 63yo
  • J20.5 = 1yo & 38yo
  • J21.0 = 91-181days & 1yo
In patients <1 year old, 91% of non-elective admissions were coded J21.0 (24,949/27,340) and 85% of non-elective costs were coded J21.0 (£44,063,452/£51,559,115)

CONCLUSIONS:

In order to quantify the burden of RSV in infants <1 year of age, optimal searching using J21.0 is most likely to yield the RSV burden in infants <1year of age. With RSV immunisations in late-stage development, accurate testing and recording of RSV infections is critical to understand the true burden of disease and to inform policy and implementation decisions.

1) Shi T, McAllister DA, O’Brien KL, Simoes EAF, Madhi SA, Gessner BD, et al. Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: a systematic review and modelling study. Lancet. 2017;390(10098):946-958.

2) https://icd.who.int/browse10/2016/en (accessed May 2022)

Conference/Value in Health Info

2022-11, ISPOR Europe 2022, Vienna, Austria

Value in Health, Volume 25, Issue 12S (December 2022)

Code

RWD138

Topic

Economic Evaluation, Epidemiology & Public Health, Real World Data & Information Systems, Study Approaches

Topic Subcategory

Disease Classification & Coding, Electronic Medical & Health Records, Health & Insurance Records Systems

Disease

SDC: Infectious Disease (non-vaccine)

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