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Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON)

Authors: Appel, Katharina S.; Nürnberger, Carolin; Bahmer, Thomas; Förster, Christian; Polidori, Maria Cristina; Kohls, Mirjam; Kraus, Tanja; +193 Authors

Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON)

Abstract

Abstract Purpose The objective examination of the Post-COVID syndrome (PCS) remains difficult due to heterogeneous definitions and clinical phenotypes. The aim of the study was to verify the functionality and correlates of a recently developed PCS score. Methods The PCS score was applied to the prospective, multi-center cross-sectoral cohort (in- and outpatients with SARS-CoV-2 infection) of the "National Pandemic Cohort Network (NAPKON, Germany)". Symptom assessment and patient-reported outcome measure questionnaires were analyzed at 3 and 12 months (3/12MFU) after diagnosis. Scores indicative of PCS severity were compared and correlated to demographic and clinical characteristics as well as quality of life (QoL, EQ-5D-5L). Results Six hundred three patients (mean 54.0 years, 60.6% male, 82.0% hospitalized) were included. Among those, 35.7% (215) had no and 64.3% (388) had mild, moderate, or severe PCS. PCS severity groups differed considering sex and pre-existing respiratory diseases. 3MFU PCS worsened with clinical severity of acute infection (p = .011), and number of comorbidities (p = .004). PCS severity was associated with poor QoL at the 3MFU and 12MFU (p < .001). Conclusion The PCS score correlated with patients’ QoL and demonstrated to be instructive for clinical characterization and stratification across health care settings. Further studies should critically address the high prevalence, clinical relevance, and the role of comorbidities. Trail registration number The cohort is registered at www.clinicaltrials.gov under NCT04768998.

Keywords

Research ; Post-COVID ; Long-COVID ; Definition ; Score ; Patient reported outcome measures ; Multi-center prospective cohort study ; Quality of life, Male, Adult, Medizin, Severity of Illness Index, Cohort Studies, Post-Acute COVID-19 Syndrome, Germany, Surveys and Questionnaires, Humans, Prospective Studies, Patient Reported Outcome Measures, Aged, ddc:610, SARS-CoV-2, Research, COVID-19, Middle Aged, Surveys and Questionnaires [MeSH] ; COVID-19 ; Aged [MeSH] ; Patient reported outcome measures ; Post-Acute COVID-19 Syndrome [MeSH] ; Germany/epidemiology [MeSH] ; Cohort Studies [MeSH] ; Long-COVID ; Post-COVID ; Male [MeSH] ; Quality of Life [MeSH] ; Score ; COVID-19/epidemiology [MeSH] ; SARS-CoV-2 [MeSH] ; COVID-19/diagnosis [MeSH] ; Female [MeSH] ; Multi-center prospective cohort study ; Adult [MeSH] ; Humans [MeSH] ; Prospective Studies [MeSH] ; Severity of Illness Index [MeSH] ; Definition ; Middle Aged [MeSH] ; Symptom Assessment [MeSH] ; Patient Reported Outcome Measures [MeSH] ; Quality of life ; Research, Quality of Life, Female, Symptom Assessment, ddc: ddc:

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    popularity
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    Top 10%
    influence
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    impulse
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
hybrid