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  1. Article: How to Synchronize Longitudinal Patient Data With the Underlying Disease Progression: A Pilot Study Using the Biomarker CRP for Timing COVID-19.

    Maibach, Martina A / Allam, Ahmed / Hilty, Matthias P / Perez Gonzalez, Nicolas A / Buehler, Philipp K / Wendel Garcia, Pedro D / Brugger, Silvio D / Ganter, Christoph C / Krauthammer, Michael / Schuepbach, Reto A / Bartussek, Jan

    Frontiers in medicine

    2021  Volume 8, Page(s) 607594

    Abstract: ... stratification in our COVID-19 patient cohort. Our data highlights that proper synchronization of longitudinal ... trajectories have to be synchronized based on temporal markers. In this pilot study, we use longitudinal data ... from critically ill ICU COVID-19 patients to compare the commonly used alignment markers "onset of symptoms ...

    Abstract The continued digitalization of medicine has led to an increased availability of longitudinal patient data that allows the investigation of novel and known diseases in unprecedented detail. However, to accurately describe any underlying pathophysiology and allow inter-patient comparisons, individual patient trajectories have to be synchronized based on temporal markers. In this pilot study, we use longitudinal data from critically ill ICU COVID-19 patients to compare the commonly used alignment markers "onset of symptoms," "hospital admission," and "ICU admission" with a novel objective method based on the peak value of the 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 improved mortality risk stratification in our COVID-19 patient cohort. Our data highlights that proper synchronization of longitudinal patient data is crucial for accurate interpatient comparisons and the definition of relevant subgroups. The use of objective temporal disease markers will facilitate both translational research efforts and multicenter trials.
    Language English
    Publishing date 2021-07-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2021.607594
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: How to Synchronize Longitudinal Patient Data With the Underlying Disease Progression

    Martina A. Maibach / Ahmed Allam / Matthias P. Hilty / Nicolas A. Perez Gonzalez / Philipp K. Buehler / Pedro D. Wendel Garcia / Silvio D. Brugger / Christoph C. Ganter / The CoViD-19 ICU-Research Group Zurich / The RISC-19-ICU Investigators / Michael Krauthammer / Reto A. Schuepbach / Jan Bartussek

    Frontiers in Medicine, Vol

    A Pilot Study Using the Biomarker CRP for Timing COVID-19

    2021  Volume 8

    Abstract: ... stratification in our COVID-19 patient cohort. Our data highlights that proper synchronization of longitudinal ... trajectories have to be synchronized based on temporal markers. In this pilot study, we use longitudinal data ... from critically ill ICU COVID-19 patients to compare the commonly used alignment markers “onset of symptoms ...

    Abstract The continued digitalization of medicine has led to an increased availability of longitudinal patient data that allows the investigation of novel and known diseases in unprecedented detail. However, to accurately describe any underlying pathophysiology and allow inter-patient comparisons, individual patient trajectories have to be synchronized based on temporal markers. In this pilot study, we use longitudinal data from critically ill ICU COVID-19 patients to compare the commonly used alignment markers “onset of symptoms,” “hospital admission,” and “ICU admission” with a novel objective method based on the peak value of the 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 improved mortality risk stratification in our COVID-19 patient cohort. Our data highlights that proper synchronization of longitudinal patient data is crucial for accurate interpatient comparisons and the definition of relevant subgroups. The use of objective temporal disease markers will facilitate both translational research efforts and multicenter trials.
    Keywords COVID-19 ; longitudinal data ; synchronization ; subgroup comparison ; risk stratification ; biomarker ; Medicine (General) ; R5-920
    Subject code 310
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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