Cargando…

Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study

BACKGROUND: People with Long Covid (Post Covid-19 Condition) describe multiple symptoms which vary between and within individuals over relatively short time intervals. We aimed to describe the real-time associations between different symptoms and between symptoms and physical activity at the individ...

Descripción completa

Detalles Bibliográficos
Autores principales: Burton, Christopher, Dawes, Helen, Goodwill, Simon, Thelwell, Michael, Dalton, Caroline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851560/
https://www.ncbi.nlm.nih.gov/pubmed/36656830
http://dx.doi.org/10.1371/journal.pone.0280343
_version_ 1784872427057053696
author Burton, Christopher
Dawes, Helen
Goodwill, Simon
Thelwell, Michael
Dalton, Caroline
author_facet Burton, Christopher
Dawes, Helen
Goodwill, Simon
Thelwell, Michael
Dalton, Caroline
author_sort Burton, Christopher
collection PubMed
description BACKGROUND: People with Long Covid (Post Covid-19 Condition) describe multiple symptoms which vary between and within individuals over relatively short time intervals. We aimed to describe the real-time associations between different symptoms and between symptoms and physical activity at the individual patient level. METHODS AND FINDINGS: Intensive longitudinal study of 82 adults with self-reported Long Covid (median duration 12–18 months). Data collection involved a smartphone app with 5 daily entries over 14 days and continuous wearing of a wrist accelerometer. Data items included 7 symptoms (Visual Analog Scales) and perceived demands in the preceding period (Likert scales). Activity was measured using mean acceleration in the 3-hour periods preceding and following app data entry. Analysis used within-person correlations of symptoms pairs and both pooled and individual symptom networks derived from graphical vector autoregression. App data was suitable for analysis from 74 participants (90%) comprising 4022 entries representing 77.6% of possible entries. Symptoms varied substantially within individuals and were only weakly autocorrelated. The strongest between-subject symptom correlations were of fatigue with pain (partial coefficient 0.5) and cognitive difficulty with light-headedness (0.41). Pooled within-subject correlations showed fatigue correlated with cognitive difficulty (partial coefficient 0.2) pain (0.19) breathlessness (0.15) and light-headedness (0.12) but not anxiety. Cognitive difficulty was correlated with anxiety and light-headedness (partial coefficients 0.16 and 0.17). Individual participant correlation heatmaps and symptom networks showed no clear patterns indicative of distinct phenotypes. Symptoms, including fatigue, were inconsistently correlated with prior or subsequent physical activity: this may reflect adjustment of activity in response to symptoms. Delayed worsening of symptoms after the highest activity peak was observed in 7 participants. CONCLUSION: Symptoms of Long Covid vary within individuals over short time scales, with heterogenous patterns of symptom correlation. The findings are compatible with altered central symptom processing as an additional factor in Long Covid.
format Online
Article
Text
id pubmed-9851560
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-98515602023-01-20 Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study Burton, Christopher Dawes, Helen Goodwill, Simon Thelwell, Michael Dalton, Caroline PLoS One Research Article BACKGROUND: People with Long Covid (Post Covid-19 Condition) describe multiple symptoms which vary between and within individuals over relatively short time intervals. We aimed to describe the real-time associations between different symptoms and between symptoms and physical activity at the individual patient level. METHODS AND FINDINGS: Intensive longitudinal study of 82 adults with self-reported Long Covid (median duration 12–18 months). Data collection involved a smartphone app with 5 daily entries over 14 days and continuous wearing of a wrist accelerometer. Data items included 7 symptoms (Visual Analog Scales) and perceived demands in the preceding period (Likert scales). Activity was measured using mean acceleration in the 3-hour periods preceding and following app data entry. Analysis used within-person correlations of symptoms pairs and both pooled and individual symptom networks derived from graphical vector autoregression. App data was suitable for analysis from 74 participants (90%) comprising 4022 entries representing 77.6% of possible entries. Symptoms varied substantially within individuals and were only weakly autocorrelated. The strongest between-subject symptom correlations were of fatigue with pain (partial coefficient 0.5) and cognitive difficulty with light-headedness (0.41). Pooled within-subject correlations showed fatigue correlated with cognitive difficulty (partial coefficient 0.2) pain (0.19) breathlessness (0.15) and light-headedness (0.12) but not anxiety. Cognitive difficulty was correlated with anxiety and light-headedness (partial coefficients 0.16 and 0.17). Individual participant correlation heatmaps and symptom networks showed no clear patterns indicative of distinct phenotypes. Symptoms, including fatigue, were inconsistently correlated with prior or subsequent physical activity: this may reflect adjustment of activity in response to symptoms. Delayed worsening of symptoms after the highest activity peak was observed in 7 participants. CONCLUSION: Symptoms of Long Covid vary within individuals over short time scales, with heterogenous patterns of symptom correlation. The findings are compatible with altered central symptom processing as an additional factor in Long Covid. Public Library of Science 2023-01-19 /pmc/articles/PMC9851560/ /pubmed/36656830 http://dx.doi.org/10.1371/journal.pone.0280343 Text en © 2023 Burton et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Burton, Christopher
Dawes, Helen
Goodwill, Simon
Thelwell, Michael
Dalton, Caroline
Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study
title Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study
title_full Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study
title_fullStr Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study
title_full_unstemmed Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study
title_short Within and between-day variation and associations of symptoms in Long Covid: Intensive longitudinal study
title_sort within and between-day variation and associations of symptoms in long covid: intensive longitudinal study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851560/
https://www.ncbi.nlm.nih.gov/pubmed/36656830
http://dx.doi.org/10.1371/journal.pone.0280343
work_keys_str_mv AT burtonchristopher withinandbetweendayvariationandassociationsofsymptomsinlongcovidintensivelongitudinalstudy
AT daweshelen withinandbetweendayvariationandassociationsofsymptomsinlongcovidintensivelongitudinalstudy
AT goodwillsimon withinandbetweendayvariationandassociationsofsymptomsinlongcovidintensivelongitudinalstudy
AT thelwellmichael withinandbetweendayvariationandassociationsofsymptomsinlongcovidintensivelongitudinalstudy
AT daltoncaroline withinandbetweendayvariationandassociationsofsymptomsinlongcovidintensivelongitudinalstudy