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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
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    References listed on IDEAS

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    1. Daniel D. Lee & H. Sebastian Seung, 1999. "Learning the parts of objects by non-negative matrix factorization," Nature, Nature, vol. 401(6755), pages 788-791, October.
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    Cited by:

    1. Merrill Singer & Nicola Bulled, 2024. "Long Covid: A Syndemics Approach to Understanding and Response," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 19(2), pages 811-834, April.
    2. Melissa D. Pinto & Rana Chakraborty & Natalie Lambert, 2022. "The Elephant in the Waiting Room: An Urgent Call for Papers to Address the Public Health Crisis of Long COVID," Clinical Nursing Research, , vol. 31(8), pages 1387-1389, November.
    3. Janet L. Larson & Weijiao Zhou & Philip T. Veliz & Sheree Smith, 2023. "Symptom Clusters in Adults with Post-COVID-19: A Cross-Sectional Survey," Clinical Nursing Research, , vol. 32(8), pages 1071-1080, November.

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