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1000 Titel
  • Characterization of cognitive symptoms in post COVID-19 patients
1000 Autor/in
  1. Ruzicka, Michael |
  2. Sachenbacher, Simone |
  3. Heimkes, Fides |
  4. Uebleis, Aline Olivia |
  5. Karch, Susanne |
  6. Grosse-Wentrup, Fabienne |
  7. Ibarra Fonseca, Gerardo Jesus |
  8. Wunderlich, Nora |
  9. Bogner, Johannes |
  10. Mayerle, Julia |
  11. von Bergwelt-Baildon, Michael |
  12. Falkai, Peter |
  13. Subklewe, Marion |
  14. Ruzicka, Thomas |
  15. Benesch, Christopher |
  16. Valdinoci, Elisabeth |
  17. Pernpruner, Anna |
  18. Thomas, Anabel |
  19. Heindl, Bernhard |
  20. Stubbe, Hans Christian |
  21. Adorjan, Kristina |
1000 Verlag Springer Berlin Heidelberg
1000 Erscheinungsjahr 2024
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2024-05-13
1000 Erschienen in
1000 Quellenangabe
  • 274(8):1923-1934
1000 Copyrightjahr
  • 2024
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00406-024-01821-z |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11579195/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:sec> <jats:title>Abstract</jats:title> <jats:p>Cognitive symptoms (CS) belong to the most common manifestations of the Post COVID-19 (PC) condition. We sought to objectify CS in PC patients using routine diagnostic assessments: neurocognitive testing (NCT) and brain imaging (BI). Further, we investigated possible associations of CS with patient reported outcomes (PROs), and risk factors for developing CS. Clinical data and PROs of 315 PC patients were assessed at a mean of 6 months after SARS-CoV-2 infection. 231 (73.3%) patients reported any sort of CS. Among them, 78 underwent NCT and 55 received BI. In NCT, the cognitive domains most affected were the working memory, attention, and concentration. Nonetheless, pathological thresholds were exceeded only in few cases. Neurocognitive performance did not differ significantly between patients complaining of severe (n = 26) versus non-severe (n = 52) CS. BI findings were abnormal in 8 (14.5%) cases with CS but were most likely not related to PC. Patients reporting high severity of CS scored worse in the PHQ-9, FSS, WHOQOL-BREF, were more likely to report impaired sleep, and had a higher prevalence of psychiatric diagnoses. Overall, NCT could confirm mild impairment in some but not all PC patients with CS, while BI studies were abnormal in only few cases. CS severity did not affect NCT results, but severe CS were associated with symptoms of depression (PHQ-9), fatigue (FSS), reduced quality of life (WHOQOL-BREF) and higher prevalence of psychiatric illnesses. These findings support the importance of NCT, BI, and neuro-psychological assessment in the work-up of PC patients reporting CS.</jats:p> </jats:sec><jats:sec> <jats:title>Trial registration</jats:title> <jats:p>Trial registration number and date of registration: DRKS00030974, 22 Dec 2022, retrospectively registered.</jats:p> </jats:sec>
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Female [MeSH]
lokal Aged [MeSH]
lokal Post COVID-19 syndrome
lokal Adult [MeSH]
lokal Humans [MeSH]
lokal Cognitive Dysfunction/etiology [MeSH]
lokal Middle Aged [MeSH]
lokal Post-Acute COVID-19 Syndrome [MeSH]
lokal COVID-19/complications [MeSH]
lokal Patient Reported Outcome Measures [MeSH]
lokal Brain fog
lokal Depression
lokal Male [MeSH]
lokal Fatigue
lokal Cognitive Dysfunction/physiopathology [MeSH]
lokal Original Paper
lokal Long COVID
lokal Neuroimaging [MeSH]
lokal Cognitive impairment
lokal Neuropsychological Tests [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://orcid.org/0000-0002-2451-1070|https://frl.publisso.de/adhoc/uri/U2FjaGVuYmFjaGVyLCBTaW1vbmU=|https://frl.publisso.de/adhoc/uri/SGVpbWtlcywgRmlkZXM=|https://frl.publisso.de/adhoc/uri/VWVibGVpcywgQWxpbmUgT2xpdmlh|https://frl.publisso.de/adhoc/uri/S2FyY2gsIFN1c2FubmU=|https://frl.publisso.de/adhoc/uri/R3Jvc3NlLVdlbnRydXAsIEZhYmllbm5l|https://frl.publisso.de/adhoc/uri/SWJhcnJhIEZvbnNlY2EsIEdlcmFyZG8gSmVzdXM=|https://frl.publisso.de/adhoc/uri/V3VuZGVybGljaCwgTm9yYQ==|https://frl.publisso.de/adhoc/uri/Qm9nbmVyLCBKb2hhbm5lcw==|https://frl.publisso.de/adhoc/uri/TWF5ZXJsZSwgSnVsaWE=|https://frl.publisso.de/adhoc/uri/dm9uIEJlcmd3ZWx0LUJhaWxkb24sIE1pY2hhZWw=|https://frl.publisso.de/adhoc/uri/RmFsa2FpLCBQZXRlcg==|https://frl.publisso.de/adhoc/uri/U3Via2xld2UsIE1hcmlvbg==|https://frl.publisso.de/adhoc/uri/UnV6aWNrYSwgVGhvbWFz|https://frl.publisso.de/adhoc/uri/QmVuZXNjaCwgQ2hyaXN0b3BoZXI=|https://frl.publisso.de/adhoc/uri/VmFsZGlub2NpLCBFbGlzYWJldGg=|https://frl.publisso.de/adhoc/uri/UGVybnBydW5lciwgQW5uYQ==|https://frl.publisso.de/adhoc/uri/VGhvbWFzLCBBbmFiZWw=|https://frl.publisso.de/adhoc/uri/SGVpbmRsLCBCZXJuaGFyZA==|https://frl.publisso.de/adhoc/uri/U3R1YmJlLCBIYW5zIENocmlzdGlhbg==|https://frl.publisso.de/adhoc/uri/QWRvcmphbiwgS3Jpc3RpbmE=
1000 Hinweis
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1000 Label
1000 Förderer
  1. Bayerisches Staatsministerium für Gesundheit und Pflege |
  2. Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit |
  3. Klinikum der Universität München |
1000 Fördernummer
  1. -
  2. -
  3. -
1000 Förderprogramm
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  2. -
  3. -
1000 Dateien
  1. Characterization of cognitive symptoms in post COVID-19 patients
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bayerisches Staatsministerium für Gesundheit und Pflege |
    1000 Förderprogramm -
    1000 Fördernummer -
  2. 1000 joinedFunding-child
    1000 Förderer Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit |
    1000 Förderprogramm -
    1000 Fördernummer -
  3. 1000 joinedFunding-child
    1000 Förderer Klinikum der Universität München |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
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1000 Erstellt am 2025-07-05T22:27:15.167+0200
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