Identifying emergency presentations of chronic liver disease using routinely collected administrative hospital data
The more and most sensitive algorithms are recommended in studies when it is important to minimise the number of patients with CLD erroneously missed from the cohort, such as studies measuring disease burden. The most specific algorithms might miss patients whose primary reason for admission is recorded as a sign, symptom, or complication of CLD, but is recommended when the interest is strictly in patients whose primary reason for emergency admission is CLD.
Authors
- Jan van der Meulen (ORCID: https://orcid.org/0000-0002-9451-2335)
- William E. Bernal (ORCID: https://orcid.org/0000-0002-6508-3287)
- James Doidge (ORCID: https://orcid.org/0000-0002-3674-3100)
- Jessica King (ORCID: https://orcid.org/0000-0001-9681-2684)
- Kate Walker (ORCID: https://orcid.org/0000-0001-5392-6323)
- Vikram Bains
Institutions
- Royal College of Surgeons of England (GB)
- King's College London (GB)
- London School of Hygiene & Tropical Medicine (GB)
- King's College Hospital (GB)
- Intensive Care National Audit & Research Centre (GB)
Publication Details
- Journal
- JHEP Reports
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1016/j.jhepr.2024.101322
- Citations
- 3
- Primary Topic
- Emergency and Acute Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.07
Funders
- National Institute for Health and Care Research
- Health Services and Delivery Research Programme