Persistent somatic symptoms are key to individual illness perception at one year after COVID-19 in a cross-sectional analysis of a prospective cohort study

Subjective illness perception (IP) can differ from physician's clinical assessment results. Herein, we explored patient's IP during coronavirus disease 2019 (COVID-19) recovery. Participants of the prospective observation CovILD study (ClinicalTrials.gov: NCT04416100) with persistent somat...

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Bibliographic Details
Published in:Journal of psychosomatic research 2023-06, Vol.169, p.111234, Article 111234
Main Authors: Hüfner, Katharina, Tymoszuk, Piotr, Sahanic, Sabina, Luger, Anna, Boehm, Anna, Pizzini, Alex, Schwabl, Christoph, Koppelstätter, Sabine, Kurz, Katharina, Asshoff, Malte, Mosheimer-Feistritzer, Birgit, Pfeifer, Bernhard, Rass, Verena, Schroll, Andrea, Iglseder, Sarah, Egger, Alexander, Wöll, Ewald, Weiss, Günter, Helbok, Raimund, Widmann, Gerlig, Sonnweber, Thomas, Tancevski, Ivan, Sperner-Unterweger, Barbara, Löffler-Ragg, Judith
Format: Article
Language:English
Subjects:
Clustering
COVID-19
Cross-Sectional Studies
Fatigue - etiology
Humans
Illness perception
Medically Unexplained Symptoms
Perception
Persistent somatic symptoms
Post-COVID-19 condition
Prospective Studies
Regularized regression
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Summary:Subjective illness perception (IP) can differ from physician's clinical assessment results. Herein, we explored patient's IP during coronavirus disease 2019 (COVID-19) recovery. Participants of the prospective observation CovILD study (ClinicalTrials.gov: NCT04416100) with persistent somatic symptoms or cardiopulmonary findings one year after COVID-19 were analyzed (n = 74). Explanatory variables included demographic and comorbidity, COVID-19 course and one-year follow-up data of persistent somatic symptoms, physical performance, lung function testing, chest computed tomography and trans-thoracic echocardiography. Factors affecting IP (Brief Illness Perception Questionnaire) one year after COVID-19 were identified by regularized modeling and unsupervised clustering. In modeling, 33% of overall IP variance (R2) was attributed to fatigue intensity, reduced physical performance and persistent somatic symptom count. Overall IP was largely independent of lung and heart findings revealed by imaging and function testing. In clustering, persistent somatic symptom count (Kruskal-Wallis test: η2 = 0.31, p 
ISSN:0022-3999
1879-1360
1879-1360
DOI:10.1016/j.jpsychores.2023.111234