IDEAS home Printed from https://ideas.repec.org/a/sae/clnure/v31y2022i8p1390-1398.html
   My bibliography  Save this article

COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler Looking for Clarity in the Haze of the Pandemic

Author

Listed:
  • Yong Huang
  • Melissa D. Pinto
  • Jessica L. Borelli
  • Milad Asgari Mehrabadi
  • Heather L. Abrahim
  • Nikil Dutt
  • Natalie Lambert
  • Erika L. Nurmi
  • Rana Chakraborty
  • Amir M. Rahmani
  • Charles A. Downs

Abstract

Post-acute sequelae of SARS-CoV-2 (PASC) is defined as persistent symptoms after apparent recovery from acute COVID-19 infection, also known as COVID-19 long-haul. We performed a retrospective review of electronic health records (EHR) from the University of California COvid Research Data Set (UC CORDS), a de-identified EHR of PCR-confirmed SARS-CoV-2-positive patients in California. The purposes were to (1) describe the prevalence of PASC, (2) describe COVID-19 symptoms and symptom clusters, and (3) identify risk factors for PASC. Data were subjected to non-negative matrix factorization to identify symptom clusters, and a predictive model of PASC was developed. PASC prevalence was 11% (277/2,153), and of these patients, 66% (183/277) were considered asymptomatic at days 0–30. Five PASC symptom clusters emerged and specific symptoms at days 0–30 were associated with PASC. Women were more likely than men to develop PASC, with all age groups and ethnicities represented. PASC is a public health priority.

Suggested Citation

  • Yong Huang & Melissa D. Pinto & Jessica L. Borelli & Milad Asgari Mehrabadi & Heather L. Abrahim & Nikil Dutt & Natalie Lambert & Erika L. Nurmi & Rana Chakraborty & Amir M. Rahmani & Charles A. Downs, 2022. "COVID Symptoms, Symptom Clusters, and Predictors for Becoming a Long-Hauler Looking for Clarity in the Haze of the Pandemic," Clinical Nursing Research, , vol. 31(8), pages 1390-1398, November.
    • Handle: RePEc:sae:clnure:v:31:y:2022:i:8:p:1390-1398
    DOI: 10.1177/10547738221125632
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/10547738221125632
    Download Restriction: no
    File URL: https://libkey.io/10.1177/10547738221125632?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
    ---><---

    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:sae:clnure:v:31:y:2022:i:8:p:1390-1398. 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: SAGE Publications (email available below). General contact details of provider: .

    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.