IDEAS home Printed from https://ideas.repec.org/a/plo/pdig00/0000484.html
   My bibliography  Save this article

Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study

Author

Listed:
  • Meghan R Hutch
  • Jiyeon Son
  • Trang T Le
  • Chuan Hong
  • Xuan Wang
  • Zahra Shakeri Hossein Abad
  • Michele Morris
  • Alba Gutiérrez-Sacristán
  • Jeffrey G Klann
  • Anastasia Spiridou
  • Ashley Batugo
  • Riccardo Bellazzi
  • Vincent Benoit
  • Clara-Lea Bonzel
  • William A Bryant
  • Lorenzo Chiudinelli
  • Kelly Cho
  • Priyam Das
  • Tomás González González
  • David A Hanauer
  • Darren W Henderson
  • Yuk-Lam Ho
  • Ne Hooi Will Loh
  • Adeline Makoudjou
  • Simran Makwana
  • Alberto Malovini
  • Bertrand Moal
  • Danielle L Mowery
  • Antoine Neuraz
  • Malarkodi Jebathilagam Samayamuthu
  • Fernando J Sanz Vidorreta
  • Emily R Schriver
  • Petra Schubert
  • Jeffery Talbert
  • Amelia L M Tan
  • Byorn W L Tan
  • Bryce W Q Tan
  • Valentina Tibollo
  • Patric Tippman
  • Guillaume Verdy
  • William Yuan
  • Paul Avillach
  • Nils Gehlenborg
  • Gilbert S Omenn
  • The Consortium for Clinical Characterization of COVID-19 by EHR (4CE)
  • Shyam Visweswaran
  • Tianxi Cai
  • Yuan Luo
  • Zongqi Xia

Abstract

Few studies examining the patient outcomes of concurrent neurological manifestations during acute COVID-19 leveraged multinational cohorts of adults and children or distinguished between central and peripheral nervous system (CNS vs. PNS) involvement. Using a federated multinational network in which local clinicians and informatics experts curated the electronic health records data, we evaluated the risk of prolonged hospitalization and mortality in hospitalized COVID-19 patients from 21 healthcare systems across 7 countries. For adults, we used a federated learning approach whereby we ran Cox proportional hazard models locally at each healthcare system and performed a meta-analysis on the aggregated results to estimate the overall risk of adverse outcomes across our geographically diverse populations. For children, we reported descriptive statistics separately due to their low frequency of neurological involvement and poor outcomes. Among the 106,229 hospitalized COVID-19 patients (104,031 patients ≥18 years; 2,198 patients

Suggested Citation

  • Meghan R Hutch & Jiyeon Son & Trang T Le & Chuan Hong & Xuan Wang & Zahra Shakeri Hossein Abad & Michele Morris & Alba Gutiérrez-Sacristán & Jeffrey G Klann & Anastasia Spiridou & Ashley Batugo & Ricc, 2024. "Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study," PLOS Digital Health, Public Library of Science, vol. 3(4), pages 1-26, April.
    • Handle: RePEc:plo:pdig00:0000484
    DOI: 10.1371/journal.pdig.0000484
    as

    Download full text from publisher

    File URL: https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000484
    Download Restriction: no
    File URL: https://journals.plos.org/digitalhealth/article/file?id=10.1371/journal.pdig.0000484&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pdig.0000484?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pdig00:0000484. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: digitalhealth (email available below). General contact details of provider: https://journals.plos.org/digitalhealth .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.