Multiple sclerosis epidemiology in Finland: regional differences and high incidence

OBJECTIVES: Studies on the east-west gradient of multiple sclerosis (MS) are scarce. In Finland, epidemiological differences have been only partially elucidated, but the MS risk is high, and it has been claimed that the occurrence follows a longitudinal gradient. In this register-based study, we upd...

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Main Authors: Sipilä JOT, Soilu-Hänninen M, Pirttisalo AL
Other Authors: kliiniset neurotieteet, Clinical Neurosciences, kliinisen laitoksen yhteiset, Department of Clinical Medicine, tyks, vsshp, tyks, vsshp, 2607314, 2607300
Language:English
Published: Wiley 2022
Subjects:
Online Access:https://www.utupub.fi/handle/10024/160713
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spelling ftunivturku:oai:www.utupub.fi:10024/160713 2023-05-15T17:00:05+02:00 Multiple sclerosis epidemiology in Finland: regional differences and high incidence Sipilä JOT Soilu-Hänninen M Pirttisalo AL kliiniset neurotieteet, Clinical Neurosciences kliinisen laitoksen yhteiset, Department of Clinical Medicine tyks, vsshp, tyks, vsshp 2607314 2607300 2022-10-28T12:36:13Z 359 353 https://www.utupub.fi/handle/10024/160713 en eng Wiley 139 10.1111/ane.13057 Acta Neurologica Scandinavica https://www.utupub.fi/handle/10024/160713 URN:NBN:fi-fe2021042720280 0001-6314 2022 ftunivturku 2022-11-03T00:00:08Z OBJECTIVES: Studies on the east-west gradient of multiple sclerosis (MS) are scarce. In Finland, epidemiological differences have been only partially elucidated, but the MS risk is high, and it has been claimed that the occurrence follows a longitudinal gradient. In this register-based study, we updated the MS epidemiology in southwest Finland (SwF) and compared it to the easternmost hospital district, North Karelia (NK), for which no previous data exist. MATERIAL AND METHODS: Patients with ICD-10 code G35 were identified from hospital district administrative data. Patient records were reviewed to include only cases with a definitive diagnosis. Incidence period covered 5 years (2012-2016) and the prevalence date was December 31, 2016. Results were standardized using the direct method. RESULTS: 1184 persons had MS in SwF and 253 persons in NK at the end of 2016. The prevalence was 280/100,000 (95% Cl 264-296) in SwF and 168/100,000 (95% Cl 148-190) in NK (age-standardized for the European standard population 2013). During the incidence period, 211 new MS diagnoses were made in SwF and 49 in NK. The annual age-standardized (ESP 2013) incidence was 12.1/100,000 person-years (95% Cl 10.5-13.8) in SwF and 8.6/100,000 person-years (95% Cl 6.4-11.2) in NK in the age group 10-69 years. CONCLUSIONS: There are regional differences in MS epidemiology in Finland, possibly related to demographic, social and genetic circumstances but the retrospective nature and limited sample size of this study might introduce some uncertainty to the calculations. SwF is a region with a globally very high risk for MS. This article is protected by copyright. All rights reserved. Other/Unknown Material karelia* University of Turku: UTUPub
institution Open Polar
collection University of Turku: UTUPub
op_collection_id ftunivturku
language English
description OBJECTIVES: Studies on the east-west gradient of multiple sclerosis (MS) are scarce. In Finland, epidemiological differences have been only partially elucidated, but the MS risk is high, and it has been claimed that the occurrence follows a longitudinal gradient. In this register-based study, we updated the MS epidemiology in southwest Finland (SwF) and compared it to the easternmost hospital district, North Karelia (NK), for which no previous data exist. MATERIAL AND METHODS: Patients with ICD-10 code G35 were identified from hospital district administrative data. Patient records were reviewed to include only cases with a definitive diagnosis. Incidence period covered 5 years (2012-2016) and the prevalence date was December 31, 2016. Results were standardized using the direct method. RESULTS: 1184 persons had MS in SwF and 253 persons in NK at the end of 2016. The prevalence was 280/100,000 (95% Cl 264-296) in SwF and 168/100,000 (95% Cl 148-190) in NK (age-standardized for the European standard population 2013). During the incidence period, 211 new MS diagnoses were made in SwF and 49 in NK. The annual age-standardized (ESP 2013) incidence was 12.1/100,000 person-years (95% Cl 10.5-13.8) in SwF and 8.6/100,000 person-years (95% Cl 6.4-11.2) in NK in the age group 10-69 years. CONCLUSIONS: There are regional differences in MS epidemiology in Finland, possibly related to demographic, social and genetic circumstances but the retrospective nature and limited sample size of this study might introduce some uncertainty to the calculations. SwF is a region with a globally very high risk for MS. This article is protected by copyright. All rights reserved.
author2 kliiniset neurotieteet, Clinical Neurosciences
kliinisen laitoksen yhteiset, Department of Clinical Medicine
tyks, vsshp, tyks, vsshp
2607314
2607300
author Sipilä JOT
Soilu-Hänninen M
Pirttisalo AL
spellingShingle Sipilä JOT
Soilu-Hänninen M
Pirttisalo AL
Multiple sclerosis epidemiology in Finland: regional differences and high incidence
author_facet Sipilä JOT
Soilu-Hänninen M
Pirttisalo AL
author_sort Sipilä JOT
title Multiple sclerosis epidemiology in Finland: regional differences and high incidence
title_short Multiple sclerosis epidemiology in Finland: regional differences and high incidence
title_full Multiple sclerosis epidemiology in Finland: regional differences and high incidence
title_fullStr Multiple sclerosis epidemiology in Finland: regional differences and high incidence
title_full_unstemmed Multiple sclerosis epidemiology in Finland: regional differences and high incidence
title_sort multiple sclerosis epidemiology in finland: regional differences and high incidence
publisher Wiley
publishDate 2022
url https://www.utupub.fi/handle/10024/160713
genre karelia*
genre_facet karelia*
op_relation 139
10.1111/ane.13057
Acta Neurologica Scandinavica
https://www.utupub.fi/handle/10024/160713
URN:NBN:fi-fe2021042720280
0001-6314
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