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Development and validation of the self-reported disability status scale (SRDSS) to estimate EDSS-categories.
Kaufmann, Marco; Salmen, Anke; Barin, Laura; Puhan, Milo Alan; Calabrese, Pasquale; Kamm, Christian Philipp; Gobbi, Claudio; Kuhle, Jens; Manjaly, Zina-Mary; Ajdacic-Gross, Vladeta; Schafroth, Sandra; Bottignole, Britta; Ammann, Sabin; Zecca, Chiara; D'Souza, Marcus; von Wyl, Viktor.
Afiliação
  • Kaufmann M; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. Electronic address: marco.kaufmann@uzh.ch.
  • Salmen A; Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland. Electronic address: anke.salmen@insel.ch.
  • Barin L; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland; FBK-IRVAPP, Research Institute for the Evaluation of Public Policies, Bruno Kessler Foundation, Trento, Italy. Electronic address: laura.barin@gmail.com.
  • Puhan MA; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. Electronic address: miloalan.puhan@uzh.ch.
  • Calabrese P; Division of Molecular and Cognitive Neuroscience, University of Basel, Basel, Switzerland. Electronic address: pasquale.calabrese@unibas.ch.
  • Kamm CP; Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland; Neurocentre, Luzerner Kantonsspital, Luzern, Switzerland. Electronic address: christian.kamm@luks.ch.
  • Gobbi C; Faculty of biomedical Sciences, Università della Svizzera Italiana (USI), Lugano, Switzerland; Department of Neurology, Multiple Sclerosis Center (MSC), Neurocenter of Southern Switzerland, Lugano, Switzerland. Electronic address: Claudio.Gobbi@eoc.ch.
  • Kuhle J; Neurologic Clinic and Policlinic, University Hospital and University of Basel, Departments of Medicine, Biomedicine and Clinical Research, Basel, Switzerland. Electronic address: Jens.Kuhle@usb.ch.
  • Manjaly ZM; Department of Neurology, Schulthess Clinic, Zürich, Switzerland; Department of Health Sciences and Technology, ETH Zurich, Zürich, Switzerland. Electronic address: Zina-Mary.Manjaly@kws.ch.
  • Ajdacic-Gross V; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. Electronic address: vajdacic@dgsp.uzh.ch.
  • Schafroth S; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. Electronic address: sandra.schafroth2@uzh.ch.
  • Bottignole B; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. Electronic address: b.bottignole@neurozentrumbellevue.ch.
  • Ammann S; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. Electronic address: sabin.ammann@uzh.ch.
  • Zecca C; Faculty of biomedical Sciences, Università della Svizzera Italiana (USI), Lugano, Switzerland; Department of Neurology, Multiple Sclerosis Center (MSC), Neurocenter of Southern Switzerland, Lugano, Switzerland. Electronic address: Chiara.Zecca@eoc.ch.
  • D'Souza M; Neurologic Clinic and Policlinic, University Hospital and University of Basel, Departments of Medicine, Biomedicine and Clinical Research, Basel, Switzerland. Electronic address: marcus.dsouza@usb.ch.
  • von Wyl V; Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland. Electronic address: viktor.vonwyl@uzh.ch.
Mult Scler Relat Disord ; 42: 102148, 2020 Jul.
Article em En | MEDLINE | ID: mdl-32371376
ABSTRACT

BACKGROUND:

Clinician-assessed Expanded Disease Status Scale (EDSS) is gold standard in clinical investigations but normally unavailable in population-based, patient-centred MS-studies. Our objective was to develop a self-reported gait measure reflecting EDSS-categories.

METHODS:

We developed the self-reported disability status scale (SRDSS) with three categories (≤3.5, 4-6.5, ≥7) based on three mobility-related questions. The SRDSS was determined for 173 persons with MS and validated against clinical EDSS to calculate sensitivity and specificity.

RESULTS:

Accuracy was 88.4% (153 correctly classified) and weighted kappa 0.73 (0.62-0.84). Sensitivity/specificity-pairs were 94.5%/77.8%, 69.0%/94.7% and 100%/98.2% for SRDSS ≤3.5, 4-6.5 and ≥7, respectively.

CONCLUSIONS:

Self-reported SRDSS approximates EDSS-categories well and fosters comparability between clinical and population-based studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicometria / Índice de Gravidade de Doença / Autorrelato / Marcha / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Mult Scler Relat Disord Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Psicometria / Índice de Gravidade de Doença / Autorrelato / Marcha / Esclerose Múltipla Tipo de estudo: Diagnostic_studies / Observational_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Mult Scler Relat Disord Ano de publicação: 2020 Tipo de documento: Article