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About:
Timing COVID-19 - Synchronization of longitudinal patient data to the underlying disease progression using CRP as a temporal marker
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schema:ScholarlyArticle
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covidontheweb.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Timing COVID-19 - Synchronization of longitudinal patient data to the underlying disease progression using CRP as a temporal marker
Creator
Garcia, Pedro
Brugger, Silvio
Hilty, Matthias
Krauthammer, Michael
Schuepbach, Reto
Allam, Ahmed
Bartussek, Jan
Buehler, Philipp
Ganter, Christoph
Maibach, Martina
Perez Gonzalez, Nicolas
Source
MedRxiv
abstract
Advances in medical technology and IT infrastructure have led to increased availability of continuous patient data that allows to investigate the longitudinal progression of novel and known diseases in unprecedented detail. However, to accurately describe any underlying pathophysiology with longitudinal data, the individual patient trajectories have to be synchronized based on temporal markers. In this study, we use longitudinal data from 28 critically ill ICU COVID-19 patients to compare the commonly used alignment markers %22onset of symptoms%22, %22hospital admission%22 and %22ICU admission%22 with a novel objective method based on the peak value of inflammatory marker C-reactive protein (CRP). By applying our CRP-based method to align the progression of neutrophils and lymphocytes, we were able to define a pathophysiological window that allowed further mortality risk stratification in our COVID-19 patient cohort. Our data highlights that proper synchronization of patient data to the underlying pathophysiology is crucial to differentiate severity subgroups and to allow reliable interpatient comparisons.
has issue date
2020-06-12
(
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)
bibo:doi
10.1101/2020.06.11.20128041
has license
medrxiv
sha1sum (hex)
a87020e2b4a7e4f16805ea322ae784ad0c49e76c
schema:url
https://doi.org/10.1101/2020.06.11.20128041
resource representing a document's title
Timing COVID-19 - Synchronization of longitudinal patient data to the underlying disease progression using CRP as a temporal marker
resource representing a document's body
covid:a87020e2b4a7e4f16805ea322ae784ad0c49e76c#body_text
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schema:about
of
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named entity 'define'
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named entity 'CoViD-19'
named entity 'THE PEAK'
named entity 'MEDICAL TECHNOLOGY'
named entity 'INFLAMMATORY MARKER'
named entity 'PATIENT DATA'
named entity 'neutrophils'
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named entity 'random effects'
named entity 'CRP'
named entity 'cross-validation'
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