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

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...

Full description

Saved in:
Bibliographic Details
Published inOpen forum infectious diseases Vol. 10; no. 7; p. ofad277
Main Authors Gottlieb, Michael, Spatz, Erica S, Yu, Huihui, Wisk, Lauren E, Elmore, Joann G, Gentile, Nicole L, Hill, Mandy, Huebinger, Ryan M, Idris, Ahamed H, Kean, Efrat R, Koo, Katherine, Li, Shu-Xia, McDonald, Samuel, Montoy, Juan Carlos C, Nichol, Graham, O’Laughlin, Kelli N, Plumb, Ian D, Rising, Kristin L, Santangelo, Michelle, Saydah, Sharon, Wang, Ralph C, Venkatesh, Arjun, Stephens, Kari A, Weinstein, Robert A
Format Journal Article
LanguageEnglish
Published US Oxford University Press 01.07.2023
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary: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. This prospective study of 5963 participants identified 4 distinct phenotypes of post-COVID conditions at 3 and 6 months for both general and fatigue-related symptoms, with substantial class-switching over time. This suggests a more dynamic nature to post-COVID conditions than previously recognized.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Study Group Team Members are listed in the Supplementary Appendix.
M. G. and E. S. S. contributed equally to this work.
A. V., K. A. S., and R. A. W. contributed equally to this work.
Potential conflicts of interest. M. G. reports funding from the Rush Center for Emerging Infectious Diseases Research Grant, Emergency Medicine Foundation/Council of Residency Directors in Emergency Medicine Education Research Grant, Emergency Medicine: Reviews and Perspectives Medical Education Research Grant, University of Ottawa Department of Medicine Education Grant, and Society of Directors of Research in Medical Education Grant. E. S. S. receives grant funding from the National Institute on Minority Health and Health Disparities (U54MD010711-01), the US Food and Drug Administration to support projects within the Yale-Mayo Clinic Center of Excellence in Regulatory Science and Innovation (CERSI, U01FD005938), the National Institute of Biomedical Imaging and Bioengineering (R01EB028106-01), and the National Heart, Lung, and Blood Institute (R01HL151240). J. G. E. reports serving as Editor-in-Chief of Adult Primary Care topics for UpToDate. N. L. G. receives grant funding from the CDC (BAA75D301-20-75D30121C10207). A. V. reports funding for COVID-19–related studies from the Society of Academic Emergency Medicine Foundation Emerging Infectious Disease and Preparedness Grant, the Agency for Healthcare Research and Quality (R01 HS 28340-01), the Food and Drug Administration (ID: 75F40120C00174), and the Centers for Medicare and Medicaid Services. G. N. reports the following: funding for COVID-19–related studies from the National Institute of Allergy and Infectious Diseases (NIAID) (1R01AI66967), research funding from Abiomed, Vapotherm, and ZOLL Medical; consultant to CPR Therapeutics, Heartbeam Inc, Invero Health LLC, Kestra Medical Technologies, Orixha, and ZOLL Circulation; and reports a patent (Method for non-imaging ultrasound to measure blood flow during CPR) and nonprovisional patent (Method for modifying cell injury associated with reduced blood flow). K. N. O. reports funding for COVID-19–related studies from NIAID (1R01AI66967). K. L. R. reports funding for COVID-19–related studies from NIAID (1R01AI66967) and the Philadelphia Department of Public Health. All other authors report no potential conflicts.
ISSN:2328-8957
2328-8957
DOI:10.1093/ofid/ofad277