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1000 Titel
  • Association of neuronal injury blood marker neurofilament light chain with mild-to-moderate COVID-19
1000 Autor/in
  1. Ameres, Markus |
  2. Brandstetter, Susanne |
  3. Toncheva, Antoaneta A. |
  4. Kabesch, Michael |
  5. Leppert, David |
  6. Kuhle, Jens |
  7. Wellmann, Sven |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-07-09
1000 Erschienen in
1000 Quellenangabe
  • 267(12):3476-3478
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00415-020-10050-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345451/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Vertigo and dizziness are amongst the most common symptoms in medicine and often have a major impact on activities of daily life. Although many causes of vertigo and dizziness can easily be recognized, patients often receive inappropriate and ineffective treatment. The reasons for this are various. Because vertigo/dizziness is an interdisciplinary symptom and there is a lack of standardised diagnostic tools, it is easy to lose the overview of the possible differential diagnoses. There is evidence though, that the management of patients with vertigo/dizziness can be optimized using standardized care pathways with digital support. The present study (within the framework of 'PoiSe-prevention, online feedback, and interdisciplinary therapy of acute vestibular syndromes by e-health') aims to evaluate the implementation of a program with several interlocking components. The three main components are a computerized clinical decision system, a mobile application, a counselling and interdisciplinary educational program developed by the German Center for Vertigo and Balance Disorders (DSGZ). The study is a cluster-randomized controlled trial with a parallel-group design, as well as a detailed process evaluation. Clusters comprise of primary care physician practices in Bavaria, Germany. In the scope of the study the effectiveness, acceptability and efficiency of the intervention will be evaluated. It is anticipated that the intervention will improve the quality and efficiency of the management of dizzy patients. A higher diagnostic accuracy, optimized treatment, and disease progression monitoring is expected to improve patient-relevant outcomes and reduce health-care costs.
1000 Sacherschließung
lokal Neurology
gnd 1206347392 COVID-19
lokal Aged [MeSH]
lokal Nervous System Diseases/blood [MeSH]
lokal Neuroradiology
lokal Nervous System Diseases/etiology [MeSH]
lokal Male [MeSH]
lokal Neurofilament Proteins/blood [MeSH]
lokal COVID-19 [MeSH]
lokal Pneumonia, Viral/complications [MeSH]
lokal Adolescent [MeSH]
lokal Female [MeSH]
lokal Respiration Disorders/etiology [MeSH]
lokal Adult [MeSH]
lokal Biomarkers/blood [MeSH]
lokal Humans [MeSH]
lokal Prospective Studies [MeSH]
lokal Severity of Illness Index [MeSH]
lokal Middle Aged [MeSH]
lokal COVID-19
lokal Coronavirus Infections/complications [MeSH]
lokal Pandemics [MeSH]
lokal Letter to the Editors
lokal Young Adult [MeSH]
lokal Neurosciences
lokal Health Personnel [MeSH]
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/QW1lcmVzLCBNYXJrdXM=|https://frl.publisso.de/adhoc/uri/QnJhbmRzdGV0dGVyLCBTdXNhbm5l|https://frl.publisso.de/adhoc/uri/VG9uY2hldmEsIEFudG9hbmV0YSBBLg==|https://frl.publisso.de/adhoc/uri/S2FiZXNjaCwgTWljaGFlbA==|https://frl.publisso.de/adhoc/uri/TGVwcGVydCwgRGF2aWQ=|https://frl.publisso.de/adhoc/uri/S3VobGUsIEplbnM=|https://orcid.org/0000-0001-9230-6266
1000 Hinweis
  • DeepGreen-ID: 1693d687c5124d8d85db52184f333000 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 @id frl:6469738.rdf
1000 Erstellt am 2023-11-18T01:06:17.382+0100
1000 Erstellt von 322
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1000 Zuletzt bearbeitet 2023-12-01T10:25:54.402+0100
1000 Objekt bearb. Fri Dec 01 10:25:54 CET 2023
1000 Vgl. frl:6469738
1000 Oai Id
  1. oai:frl.publisso.de:frl:6469738 |
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