High Prevalence of Pre-Existing Liver Abnormalities Identified Via Autopsies in COVID-19: Identification of a New Silent Risk Factor?
dc.contributor.author | Hirayama, Yuri | |
dc.contributor.author | Daniels, Natasha Faye | |
dc.contributor.author | Evans, Shelley | |
dc.contributor.author | Clarke, David | |
dc.contributor.author | Purvis, Stephenie | |
dc.contributor.author | Oliver, Charlotte | |
dc.contributor.author | Woodmansey, Stephen | |
dc.contributor.author | Staniforth, Joy | |
dc.contributor.author | Soilleux, Elizabeth J | |
dc.date.accessioned | 2021-11-25T17:29:05Z | |
dc.date.available | 2021-11-25T17:29:05Z | |
dc.date.issued | 2021-09-17 | |
dc.identifier.issn | 2075-4418 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/331185 | |
dc.description.abstract | A high prevalence of hepatic pathology (in 17 of 19 cases) was reported in post-mortem (PM) examinations of COVID-19 patients, undertaken between March 2020 and February 2021 by a single autopsy pathologist in two English Coronial jurisdictions. The patients in our cohort demonstrated high levels of recognised COVID-19 risk factors, including hypertension (8/16, 50%), type 2 diabetes mellitus (8/16, 50%) and evidence of arteriopathy 6/16 (38%). Hepatic abnormalities included steatosis (12/19; 63%), moderate to severe venous congestion (5/19; 26%) and cirrhosis (4/19; 21%). A subsequent literature review indicated a significantly increased prevalence of steatosis (49%), venous congestion (34%) and cirrhosis (9.3%) in COVID-19 PM cases, compared with a pre-pandemic PM cohort (33%, 16%, and 2.6%, respectively), likely reflecting an increased mortality risk in SARS-CoV-2 infection for patients with pre-existing liver disease. To corroborate this observation, we retrospectively analysed the admission liver function test (LFT) results of 276 consecutive, anonymised COVID-19 hospital patients in our centre, for whom outcome data were available. Of these patients, 236 (85.5%) had significantly reduced albumin levels at the time of admission to hospital, which was likely indicative of pre-existing chronic liver or renal disease. There was a strong correlation between patient outcome (length of hospital admission or death) and abnormal albumin at the time of hospital admission (p = 0.000012). We discuss potential mechanisms by which our observations of hepatic dysfunction are linked to a risk of COVID-19 mortality, speculating on the importance of recently identified anti-interferon antibodies. | |
dc.format.medium | Electronic | |
dc.language | eng | |
dc.publisher | MDPI AG | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | COVID-19 | |
dc.subject | SARS-CoV-2 | |
dc.subject | autopsy | |
dc.subject | cirrhosis | |
dc.subject | hepatic pathology | |
dc.subject | interferon dysregulation | |
dc.subject | liver function tests | |
dc.subject | pathology | |
dc.subject | post-mortem | |
dc.subject | steatosis | |
dc.title | High Prevalence of Pre-Existing Liver Abnormalities Identified Via Autopsies in COVID-19: Identification of a New Silent Risk Factor? | |
dc.type | Article | |
prism.issueIdentifier | 9 | |
prism.publicationDate | 2021 | |
prism.publicationName | Diagnostics (Basel) | |
prism.volume | 11 | |
dc.identifier.doi | 10.17863/CAM.78632 | |
dc.identifier.doi | 10.17863/CAM.78632 | |
dcterms.dateAccepted | 2021-09-09 | |
rioxxterms.versionofrecord | 10.3390/diagnostics11091703 | |
rioxxterms.version | VoR | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2021-09-17 | |
dc.contributor.orcid | Daniels, Natasha Faye [0000-0003-0384-0542] | |
dc.contributor.orcid | Evans, Shelley [0000-0003-3242-6017] | |
dc.contributor.orcid | Soilleux, Elizabeth J [0000-0002-4032-7249] | |
dc.identifier.eissn | 2075-4418 | |
rioxxterms.type | Journal Article/Review | |
cam.issuedOnline | 2021-09-17 |
Files in this item
This item appears in the following Collection(s)
-
Cambridge University Research Outputs
Research outputs of the University of Cambridge