An ordinal severity scale for COVID-19 retrospective studies using Electronic Health Record data Article Swipe
Maryam Khodaverdi
,
Bradley S. Price
,
J. Zachary Porterfield
,
H. Timothy Bunnell
,
Michael T. Vest
,
Alfred Anzalone
,
Jeremy Harper
,
Wesley Kimble
,
Hamidreza Moradi
,
Brian Hendricks
,
Susan L. Santangelo
,
Sally Hodder
,
Christopher G. Chute
,
Melissa Haendel
,
Anita Walden
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1093/jamiaopen/ooac066
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1093/jamiaopen/ooac066
Objectives Although the World Health Organization (WHO) Clinical Progression Scale for COVID-19 is useful in prospective clinical trials, it cannot be effectively used with retrospective Electronic Health Record (EHR) datasets. Modifying the existing WHO Clinical Progression Scale, we developed an ordinal severity scale (OS) and assessed its usefulness in the analyses of COVID-19 patient outcomes using retrospective EHR data. Materials and Methods An OS was developed to assign COVID-19 disease severity using the Observational Medical Outcomes Partnership common data model within the National COVID Cohort Collaborative (N3C) data enclave. We then evaluated usefulness of the developed OS using heterogenous EHR data from January 2020 to October 2021 submitted to N3C by 63 healthcare organizations across the United States. Principal component analysis (PCA) was employed to characterize changes in disease severity among patients during the 28-day period following COVID-19 diagnosis. Results The data set used in this analysis consists of 2 880 456 patients. PCA of the day-to-day variation in OS levels over the totality of the 28-day period revealed contrasting patterns of variation in disease severity within the first and second 14 days and illustrated the importance of evaluation over the full 28-day period. Discussion An OS with well-defined, robust features, based on discrete EHR data elements, is useful for assessments of COVID-19 patient outcomes, providing insights on the progression of COVID-19 disease severity over time. Conclusions The OS provides a framework that can facilitate better understanding of the course of acute COVID-19, informing clinical decision-making and resource allocation.
Related Topics
Concepts
Medicine
Observational study
Retrospective cohort study
Coronavirus disease 2019 (COVID-19)
Scale (ratio)
Disease
Clinical trial
Severity of illness
Electronic health record
Health care
Minimum Data Set
Internal medicine
Geography
Nursing
Infectious disease (medical specialty)
Cartography
Economic growth
Nursing homes
Economics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/jamiaopen/ooac066
- https://academic.oup.com/jamiaopen/article-pdf/5/3/ooac066/45180070/ooac066.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4284962615
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4284962615Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/jamiaopen/ooac066Digital Object Identifier
- Title
-
An ordinal severity scale for COVID-19 retrospective studies using Electronic Health Record dataWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-07-09Full publication date if available
- Authors
-
Maryam Khodaverdi, Bradley S. Price, J. Zachary Porterfield, H. Timothy Bunnell, Michael T. Vest, Alfred Anzalone, Jeremy Harper, Wesley Kimble, Hamidreza Moradi, Brian Hendricks, Susan L. Santangelo, Sally Hodder, Christopher G. Chute, Melissa Haendel, Anita WaldenList of authors in order
- Landing page
-
https://doi.org/10.1093/jamiaopen/ooac066Publisher landing page
- PDF URL
-
https://academic.oup.com/jamiaopen/article-pdf/5/3/ooac066/45180070/ooac066.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://academic.oup.com/jamiaopen/article-pdf/5/3/ooac066/45180070/ooac066.pdfDirect OA link when available
- Concepts
-
Medicine, Observational study, Retrospective cohort study, Coronavirus disease 2019 (COVID-19), Scale (ratio), Disease, Clinical trial, Severity of illness, Electronic health record, Health care, Minimum Data Set, Internal medicine, Geography, Nursing, Infectious disease (medical specialty), Cartography, Economic growth, Nursing homes, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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19Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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