Factors driving delayed time to multiple sclerosis diagnosis: Results from a population-based study.


Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Jan 2022
Historique:
received: 14 08 2021
revised: 30 09 2021
accepted: 29 10 2021
entrez: 15 2 2022
pubmed: 16 2 2022
medline: 17 2 2022
Statut: ppublish

Résumé

Multiple sclerosis (MS) is a highly complex chronic inflammatory disease, in which a diagnostic delay could reduce the available therapeutic options. Our aim was to identify factors contributing to diagnostic delay in a MS population living in the municipality of Biancavilla. This retrospective population-based study consecutively selected patients with MS diagnosed from 1992 to 2018 and resident in the city of Biancavilla. Socio-demographic and clinical data were collected through the iMed database. Date of final MS diagnosis was obtained and diagnostic delay was calculated. A total of 70 patients (66.7% women) were found affected by MS according to the 2011 McDonald criteria in the municipality of Biancavilla in the period between 2005 and 2010. The mean diagnostic delay in the MS cohort of Biancavilla was 33.8 ± 56 months [median 19.5, range 1-315]. The multivariate logistic regression confirmed that age ≥ 40 years, lower educational level (1-5 years) and motor symptoms at onset were associated to longer diagnostic delay. In this population-based study a mean delay of about 30 months occurred between initial symptoms and the MS diagnosis. Older age at onset, lower education level and motor symptoms at onset were associated to longer MS diagnostic delay.

Sections du résumé

BACKGROUND BACKGROUND
Multiple sclerosis (MS) is a highly complex chronic inflammatory disease, in which a diagnostic delay could reduce the available therapeutic options. Our aim was to identify factors contributing to diagnostic delay in a MS population living in the municipality of Biancavilla.
METHODS METHODS
This retrospective population-based study consecutively selected patients with MS diagnosed from 1992 to 2018 and resident in the city of Biancavilla. Socio-demographic and clinical data were collected through the iMed database. Date of final MS diagnosis was obtained and diagnostic delay was calculated.
RESULTS RESULTS
A total of 70 patients (66.7% women) were found affected by MS according to the 2011 McDonald criteria in the municipality of Biancavilla in the period between 2005 and 2010. The mean diagnostic delay in the MS cohort of Biancavilla was 33.8 ± 56 months [median 19.5, range 1-315]. The multivariate logistic regression confirmed that age ≥ 40 years, lower educational level (1-5 years) and motor symptoms at onset were associated to longer diagnostic delay.
CONCLUSION CONCLUSIONS
In this population-based study a mean delay of about 30 months occurred between initial symptoms and the MS diagnosis. Older age at onset, lower education level and motor symptoms at onset were associated to longer MS diagnostic delay.

Identifiants

pubmed: 35158432
pii: S2211-0348(21)00628-3
doi: 10.1016/j.msard.2021.103361
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103361

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Auteurs

Francesco Patti (F)

Department of Medical and Surgical Sciences, and Advanced Technologies, "G.F. Ingrassia", Multiple Sclerosis Center, University of Catania, Via Santa Sofia, 78, Catania 95123, Italy. Electronic address: patti@unict.it.

Clara Grazia Chisari (CG)

Department of Medical and Surgical Sciences, and Advanced Technologies, "G.F. Ingrassia", Multiple Sclerosis Center, University of Catania, Via Santa Sofia, 78, Catania 95123, Italy.

Sebastiano Arena (S)

Department of Medical and Surgical Sciences, and Advanced Technologies, "G.F. Ingrassia", Multiple Sclerosis Center, University of Catania, Via Santa Sofia, 78, Catania 95123, Italy.

Simona Toscano (S)

Department of Medical and Surgical Sciences, and Advanced Technologies, "G.F. Ingrassia", Multiple Sclerosis Center, University of Catania, Via Santa Sofia, 78, Catania 95123, Italy.

Chiara Finocchiaro (C)

Department of Medical and Surgical Sciences, and Advanced Technologies, "G.F. Ingrassia", Multiple Sclerosis Center, University of Catania, Via Santa Sofia, 78, Catania 95123, Italy.

Salvatore Lo Fermo (SL)

Department of Medical and Surgical Sciences, and Advanced Technologies, "G.F. Ingrassia", Multiple Sclerosis Center, University of Catania, Via Santa Sofia, 78, Catania 95123, Italy.

Maria Luisa Judica (ML)

Azienda Sanitaria Provinciale di Catania, distretto di Adrano, Catania, Italy.

Davide Maimone (D)

Multiple Sclerosis Center, Garibaldi-Nesima Hospital, Catania, Italy.

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Classifications MeSH