The Liverpool alcohol‐related liver disease algorithm identifies twice as many emergency admissions compared to standard methods when applied to Hospital Episode Statistics for England
dc.contributor.author | Dhanda, Ashwin | |
dc.contributor.author | Bodger, K | |
dc.contributor.author | Hood, S | |
dc.contributor.author | Henn, C | |
dc.contributor.author | Allison, M | |
dc.contributor.author | Amasiatu, C | |
dc.contributor.author | Burton, R | |
dc.contributor.author | Cramp, Matthew | |
dc.contributor.author | Forrest, E | |
dc.contributor.author | Khetani, M | |
dc.contributor.author | MacGilchrist, A | |
dc.contributor.author | Masson, S | |
dc.contributor.author | Parker, R | |
dc.contributor.author | Sheron, N | |
dc.contributor.author | Simpson, K | |
dc.contributor.author | Vergis, N | |
dc.contributor.author | White, M | |
dc.contributor.author | Saleh, A | |
dc.contributor.author | Boyd, A | |
dc.contributor.author | Brind, A | |
dc.contributor.author | Joshi, A | |
dc.contributor.author | Rund, A | |
dc.contributor.author | Srivastava, A | |
dc.contributor.author | McCune, A | |
dc.contributor.author | Gartland, A | |
dc.contributor.author | Hudson, B | |
dc.contributor.author | Stableforth, B | |
dc.contributor.author | John, C | |
dc.contributor.author | Maxan, E | |
dc.contributor.author | Unitt, E | |
dc.contributor.author | Beetteridge, F | |
dc.contributor.author | Lewis, H | |
dc.contributor.author | Fellows, H | |
dc.contributor.author | Haq, I | |
dc.contributor.author | Patel, J | |
dc.contributor.author | Ryan, J | |
dc.contributor.author | Cobbold, J | |
dc.contributor.author | Pohl, K | |
dc.contributor.author | Raeburn, K | |
dc.contributor.author | Corless, L | |
dc.contributor.author | Johnston, M | |
dc.contributor.author | Subhani, M | |
dc.contributor.author | Shah, N | |
dc.contributor.author | Ali, N | |
dc.contributor.author | Rajoriya, N | |
dc.contributor.author | Bendall, O | |
dc.contributor.author | Saeed, O | |
dc.contributor.author | Berry, P | |
dc.contributor.author | Moodley, P | |
dc.contributor.author | Abdelbadiee, S | |
dc.contributor.author | Davies, S | |
dc.contributor.author | Kotha, S | |
dc.contributor.author | Ryder, S | |
dc.contributor.author | Verma, S | |
dc.contributor.author | Manship, T | |
dc.contributor.author | Kumar, V | |
dc.contributor.author | Haddadin, Y | |
dc.date.accessioned | 2022-11-28T17:55:11Z | |
dc.date.issued | 2022-11-17 | |
dc.identifier.issn | 0269-2813 | |
dc.identifier.issn | 1365-2036 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/20028 | |
dc.description.abstract |
BACKGROUND: Emergency admissions in England for alcohol-related liver disease (ArLD) have increased steadily for decades. Statistics based on administrative data typically focus on the ArLD-specific code as the primary diagnosis and are therefore at risk of excluding ArLD admissions defined by other coding combinations. AIM: To deploy the Liverpool ArLD Algorithm (LAA), which accounts for alternative coding patterns (e.g., ArLD secondary diagnosis with alcohol/liver-related primary diagnosis), to national and local datasets in the context of studying trends in ArLD admissions before and during the COVID-19 pandemic. METHODS: We applied the standard approach and LAA to Hospital Episode Statistics for England (2013-21). The algorithm was also deployed at 28 hospitals to discharge coding for emergency admissions during a common 7-day period in 2019 and 2020, in which eligible patient records were reviewed manually to verify the diagnosis and extract data. RESULTS: Nationally, LAA identified approximately 100% more monthly emergency admissions from 2013 to 2021 than the standard method. The annual number of ArLD-specific admissions increased by 30.4%. Of 39,667 admissions in 2020/21, only 19,949 were identified with standard approach, an estimated admission cost of £70 million in under-recorded cases. Within 28 local hospital datasets, 233 admissions were identified using the standard approach and a further 250 locally verified cases using the LAA (107% uplift). There was an 18% absolute increase in ArLD admissions in the seven-day evaluation period in 2020 versus 2019. There were no differences in disease severity or mortality, or in the proportion of admissions with decompensation of cirrhosis or alcoholic hepatitis. CONCLUSIONS: The LAA can be applied successfully to local and national datasets. It consistently identifies approximately 100% more cases than the standard coding approach. The algorithm has revealed the true extent of ArLD admissions. The pandemic has compounded a long-term rise in ArLD admissions and mortality. | |
dc.format.extent | 368-377 | |
dc.format.medium | Print-Electronic | |
dc.language | en | |
dc.language.iso | eng | |
dc.publisher | Wiley | |
dc.subject | Humans | |
dc.subject | Pandemics | |
dc.subject | COVID-19 | |
dc.subject | Hospitalization | |
dc.subject | Liver Diseases | |
dc.subject | Hospitals | |
dc.subject | England | |
dc.subject | Algorithms | |
dc.title | The Liverpool alcohol‐related liver disease algorithm identifies twice as many emergency admissions compared to standard methods when applied to Hospital Episode Statistics for England | |
dc.type | journal-article | |
dc.type | Journal Article | |
dc.type | Research Support, Non-U.S. Gov't | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000888912200001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 4 | |
plymouth.volume | 57 | |
plymouth.publication-status | Published | |
plymouth.journal | Alimentary Pharmacology & Therapeutics | |
dc.identifier.doi | 10.1111/apt.17307 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Health | |
plymouth.organisational-group | /Plymouth/Faculty of Health/Peninsula Medical School | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA01 Clinical Medicine | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA01 Clinical Medicine/UoA01 Clinical Medicine | |
plymouth.organisational-group | /Plymouth/Research Groups | |
plymouth.organisational-group | /Plymouth/Research Groups/Plymouth Institute of Health and Care Research (PIHR) | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dc.publisher.place | England | |
dcterms.dateAccepted | 2022-11-03 | |
dc.rights.embargodate | 2022-12-1 | |
dc.identifier.eissn | 1365-2036 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1111/apt.17307 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2022-11-17 | |
rioxxterms.type | Journal Article/Review |