Long COVID Clinical Phenotypes up to 6 Months After Infection Identified by Latent Class Analysis of Self-Reported Symptoms

Michael Gottlieb, Erica S. Spatz, Huihui Yu, Lauren E. Wisk, Joann G. Elmore, Nicole L. Gentile, Mandy Hill, Ryan M. Huebinger, Ahamed H. Idris, Efrat R. Kean, Katherine Koo, Shu Xia Li, Samuel McDonald, Juan Carlos C. Montoy, Graham Nichol, Kelli N. O'Laughlin, Ian D. Plumb, Kristin L. Rising, Michelle Santangelo, Sharon SaydahRalph C. Wang, Arjun Venkatesh, Kari A. Stephens, Robert A. Weinstein, Robert A. Weinstein, Michelle Santangelo, Katherine Koo, Antonia Derden, Kristyn Gatling, Diego Guzman, Geoffrey Yang, Marshall Kaadan, Minna Hassaballa, Ryan Jerger, Zohaib Ahmed, Michael Choi, Arjun Venkatesh, Erica Spatz, Zhenqiu Lin, Shu Xia Li, Huihui Yu, Mengni Liu, Arjun Venkatesh, Erica Spatz, Andrew Ulrich, Jeremiah Kinsman, Jocelyn Dorney, Senyte Pierce, Xavier Puente, Graham Nichol, Kari Stephens, Jill Anderson, Dana Morse, Karen Adams, Zenoura Maat, Tracy Stober, Kelli N. O'Laughlin, Nikki Gentile, Rachel E. Geyer, Michael Willis, Luis Ruiz, Kerry Malone, Jasmine Park, Kristin Rising, Efrat Kean, Morgan Kelly, Kevin Schaeffer, Paavali Hannikainen, Lindsey Shughart, Hailey Shughart, Nicole Renzi, Grace Amadio, Dylan Grau, Phillip Watts, David Cheng, Jessica Miao, Carly Shutty, Alex Charlton, Mandy Hill, Summer Chavez, Arun Kane, Peter Nikonowicz, Ahamed H. Idris, Samuel McDonald, David Gallegos, Riley Martin, Joann Elmore, Lauren Wisk, Michelle L'Hommedieu, Chris Chandler, Megan Eguchi, Kate Diaz Roldan, Nicole Villegas, Raul Moreno, Robertz Rodrigue, Ralph C. Wang, Juan Carlos Montoy, Robin Kemball, Virginia Chan, Cecilia Lara Chavez, Angela Wong, Mireya Arreguin

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Background: The prevalence, incidence, and interrelationships of persistent symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection vary. There are limited data on specific phenotypes of persistent symptoms. Using latent class analysis (LCA) modeling, we sought to identify whether specific phenotypes of COVID-19 were present 3 months and 6 months post-infection. Methods: This was a multicenter study of symptomatic adults tested for SARS-CoV-2 with prospectively collected data on general symptoms and fatigue-related symptoms up to 6 months postdiagnosis. Using LCA, we identified symptomatically homogenous groups among COVID-positive and COVID-negative participants at each time period for both general and fatigue-related symptoms. Results: Among 5963 baseline participants (4504 COVID-positive and 1459 COVID-negative), 4056 had 3-month and 2856 had 6-month data at the time of analysis. We identified 4 distinct phenotypes of post-COVID conditions (PCCs) at 3 and 6 months for both general and fatigue-related symptoms; minimal-symptom groups represented 70% of participants at 3 and 6 months. When compared with the COVID-negative cohort, COVID-positive participants had higher occurrence of loss of taste/smell and cognition problems. There was substantial class-switching over time; those in 1 symptom class at 3 months were equally likely to remain or enter a new phenotype at 6 months. Conclusions: We identified distinct classes of PCC phenotypes for general and fatigue-related symptoms. Most participants had minimal or no symptoms at 3 and 6 months of follow-up. Significant proportions of participants changed symptom groups over time, suggesting that symptoms present during the acute illness may differ from prolonged symptoms and that PCCs may have a more dynamic nature than previously recognized. Clinical Trials Registration. NCT04610515.

Original languageEnglish (US)
Article numberofad277
JournalOpen Forum Infectious Diseases
Volume10
Issue number7
DOIs
StatePublished - Jul 1 2023

Keywords

  • COVID-19
  • Long COVID
  • SARS-CoV-2
  • cluster
  • phenotype

ASJC Scopus subject areas

  • Oncology
  • Infectious Diseases

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