Fatality assessment and variant risk monitoring for COVID-19 using three new hospital occupancy related metrics

dc.contributor.authorZhang, Ping-Wu
dc.contributor.authorZhang, Steven H.
dc.contributor.authorLi, Wei-Feng
dc.contributor.authorKeuthan, Casey J.
dc.contributor.authorLi, Shuaizhang
dc.contributor.authorTakaesu, Felipe
dc.contributor.authorBerlinicke, Cynthia A.
dc.contributor.authorWan, Jun
dc.contributor.authorSun, Jing
dc.contributor.authorZack, Donald J.
dc.contributor.departmentMedical and Molecular Genetics, School of Medicine
dc.date.accessioned2023-08-03T11:11:10Z
dc.date.available2023-08-03T11:11:10Z
dc.date.issued2022
dc.description.abstractBackground: Though case fatality rate (CFR) is widely used to reflect COVID-19 fatality risk, its use is limited by large temporal and spatial variation. Hospital mortality rate (HMR) is also used to assess the severity of COVID-19, but HMR data is not directly available globally. Alternative metrics are needed for COVID-19 severity and fatality assessment. Methods: We introduce new metrics for COVID-19 fatality risk measurements/monitoring and a new mathematical model to estimate average hospital length of stay for deaths (Ldead) and discharges (Ldis). Multiple data sources were used for our analyses. Findings: We propose three, new metrics: hospital occupancy mortality rate (HOMR), ratio of total deaths to hospital occupancy (TDHOR), and ratio of hospital occupancy to cases (HOCR), for dynamic assessment of COVID-19 fatality risk. Estimated Ldead and Ldis for 501,079 COVID-19 hospitalizations in 34 US states between 7 August 2020 and 1 March 2021 were 18·2(95%CI:17·9-18·5) and 14·0(95%CI:13·9-14·0) days, respectively. We found the dramatic changes in COVID-19 CFR observed in 27 countries during early stages of the pandemic were mostly caused by undiagnosed cases. Compared to the first week of November 2021, the week mean HOCRs (mimics hospitalization-to-case ratio) for Omicron variant (58·6% of US new cases as of 25 December 2021) decreased 65·16% in the US as of 16 January 2022. Interpretation: The new and reliable measurements described here could be useful for COVID-19 fatality risk and variant-associated risk monitoring.
dc.eprint.versionFinal published version
dc.identifier.citationZhang PW, Zhang SH, Li WF, et al. Fatality assessment and variant risk monitoring for COVID-19 using three new hospital occupancy related metrics. EBioMedicine. 2022;83:104225. doi:10.1016/j.ebiom.2022.104225
dc.identifier.urihttps://hdl.handle.net/1805/34707
dc.language.isoen_US
dc.publisherElsevier
dc.relation.isversionof10.1016/j.ebiom.2022.104225
dc.relation.journaleBioMedicine
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcePMC
dc.subjectCOVID-19
dc.subjectCase fatality rate (CFR)
dc.subjectHospital occupancy mortality rate (HOMR)
dc.subjectRange-to-mean ratio (R/M)
dc.subjectRatio of hospital occupancy to cases (HOCR)
dc.subjectRatio of total deaths to hospital occupancy (TDHOR)
dc.titleFatality assessment and variant risk monitoring for COVID-19 using three new hospital occupancy related metrics
dc.typeArticle
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
main.pdf
Size:
2.77 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.99 KB
Format:
Item-specific license agreed upon to submission
Description: