Literature DB >> 31271648

Multiple sclerosis in Finland 2018-Data from the national register.

Sini M Laakso1,2, Matias Viitala3,4, Hanna Kuusisto5,6, Taneli Sarasoja7, Päivi Hartikainen8,9, Sari Atula1,2, Pentti J Tienari1,2, Merja Soilu-Hänninen10,11.   

Abstract

OBJECTIVES: Finland is a high-risk multiple sclerosis (MS) region, but a national MS register has not existed until 2014. In this paper, we present the Finnish MS register variables and data collected by 31 December 2018.
MATERIALS AND METHODS: Numbers and data counts of MS patients in the register (ICD-10 code G35) are presented. The disease types and proportion of patients receiving disease-modifying treatments (DMTs) were analysed in five hospital districts with most complete data sets. MS prevalence in Finland was estimated using administrative hospital discharge data as an additional resource.
RESULTS: There were a total of 8722 MS patients in the Finnish MS register by 31 December 2018 (71.5% females). Mean age at MS diagnosis was 38.7 years and peak prevalence was at age 50-54 years. Disease course was relapsing remitting (RRMS) in 66.7%, secondary progressive (SPMS) in 13.5%, and primary progressive (PPMS) in 7.9% of the 5365 MS patients in the selected districts with most complete data. A total of 66.0% of RRMS patients, 19.6% of SPMS patients and 9.9% of PPMS patients were receiving DMTs. By combining MS register data with databases of those hospitals that had not joined the register, the nationwide prevalence estimate was between 10 and 11 thousand patients (corresponding to crude prevalence 180-200/100 000).
CONCLUSIONS: The Finnish MS register is currently used in 15/21 Finnish hospital districts. By register integration into the electronic patient files, the coverage of the register has increased to approximately 80% of the estimated Finnish MS population.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  electronic health records; multiple sclerosis; prevalence; registry; treatment outcome

Year:  2019        PMID: 31271648     DOI: 10.1111/ane.13145

Source DB:  PubMed          Journal:  Acta Neurol Scand        ISSN: 0001-6314            Impact factor:   3.209


  7 in total

1.  Medication adherence/persistence among patients with active multiple sclerosis in Finland.

Authors:  Sanni Lahdenperä; Merja Soilu-Hänninen; Hanna-Maija Kuusisto; Sari Atula; Jouni Junnila; Anders Berglund
Journal:  Acta Neurol Scand       Date:  2020-07-31       Impact factor: 3.209

2.  Do Hungarian multiple sclerosis care units fulfil international criteria?

Authors:  Zsófia Kokas; Dániel Sandi; Zsanett Fricska-Nagy; Judit Füvesi; Tamás Biernacki; Ágnes Köves; Ferenc Fazekas; Adrienne Jóri Birkás; Gabriella Katona; Krisztina Kovács; Dániel Milanovich; Enikő Dobos; István Kapás; Gábor Jakab; Tünde Csépány; Erzsébet Bense; Klotild Mátyás; Gábor Rum; Zoltán Szolnoki; István Deme; Zita Jobbágy; Dávid Kriston; Zsuzsanna Gerócs; Péter Diószeghy; László Bors; Adrián Varga; Levente Kerényi; Gabriella Molnár; Piroska Kristóf; Zsuzsanna Ágnes Nagy; Mária Sátori; Piroska Imre; Szilvia Péntek; Péter Klivényi; Zsigmond Tamás Kincses; László Vécsei; Krisztina Bencsik
Journal:  PLoS One       Date:  2022-03-03       Impact factor: 3.240

3.  Systematic literature review and meta-analysis of the prevalence of secondary progressive multiple sclerosis in the USA, Europe, Canada, Australia, and Brazil.

Authors:  Vijayalakshmi Vasanthaprasad; Vivek Khurana; Sreelatha Vadapalle; Jackie Palace; Nicholas Adlard
Journal:  BMC Neurol       Date:  2022-08-17       Impact factor: 2.903

4.  Chances and challenges of a long-term data repository in multiple sclerosis: 20th birthday of the German MS registry.

Authors:  Lisa-Marie Ohle; David Ellenberger; Peter Flachenecker; Tim Friede; Judith Haas; Kerstin Hellwig; Tina Parciak; Clemens Warnke; Friedemann Paul; Uwe K Zettl; Alexander Stahmann
Journal:  Sci Rep       Date:  2021-06-25       Impact factor: 4.379

5.  Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis.

Authors:  Ruggiero Seccia; Daniele Gammelli; Fabio Dominici; Silvia Romano; Anna Chiara Landi; Marco Salvetti; Andrea Tacchella; Andrea Zaccaria; Andrea Crisanti; Francesca Grassi; Laura Palagi
Journal:  PLoS One       Date:  2020-03-20       Impact factor: 3.240

6.  Epidemiology of multiple sclerosis in Central Europe, update from Hungary.

Authors:  Tamás Biernacki; Dániel Sandi; Zsanett Fricska-Nagy; Zsigmond Tamás Kincses; Judit Füvesi; Rózsa Laczkó; Zsófia Kokas; Péter Klivényi; László Vécsei; Krisztina Bencsik
Journal:  Brain Behav       Date:  2020-03-20       Impact factor: 2.708

7.  Initial treatment strategy and clinical outcomes in Finnish MS patients: a propensity-matched study.

Authors:  K Hänninen; M Viitala; S Atula; S M Laakso; H Kuusisto; M Soilu-Hänninen
Journal:  J Neurol       Date:  2021-06-25       Impact factor: 4.849

  7 in total

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