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August 08, 2017; 89 (6) Article

Mortality trends for multiple sclerosis patients in Sweden from 1968 to 2012

Sarah Burkill, Scott Montgomery, MohammadHossein Hajiebrahimi, Jan Hillert, Tomas Olsson, Shahram Bahmanyar
First published July 7, 2017, DOI: https://doi.org/10.1212/WNL.0000000000004216
Sarah Burkill
From the Clinical Epidemiology Unit (S.B., S.M., M.H., S.B) and Centre for Pharmacoepidemiology (S.B., S.B.), Department of Medicine, Solna, Karolinska Institutet, Stockholm; Clinical Epidemiology and Biostatistics (S.M.), School of Medical Sciences, Örebro University, Sweden; Department of Epidemiology and Public Health (S.M.), University College London, UK; Division of Neurology (J.H.) and Neuroimmunology Unit (T.O.), Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; and Biostatistics and Epidemiology Unit (M.H., S.B.), Health Faculty, Golestan University of Medical Sciences, Golestan, Iran.
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Scott Montgomery
From the Clinical Epidemiology Unit (S.B., S.M., M.H., S.B) and Centre for Pharmacoepidemiology (S.B., S.B.), Department of Medicine, Solna, Karolinska Institutet, Stockholm; Clinical Epidemiology and Biostatistics (S.M.), School of Medical Sciences, Örebro University, Sweden; Department of Epidemiology and Public Health (S.M.), University College London, UK; Division of Neurology (J.H.) and Neuroimmunology Unit (T.O.), Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; and Biostatistics and Epidemiology Unit (M.H., S.B.), Health Faculty, Golestan University of Medical Sciences, Golestan, Iran.
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MohammadHossein Hajiebrahimi
From the Clinical Epidemiology Unit (S.B., S.M., M.H., S.B) and Centre for Pharmacoepidemiology (S.B., S.B.), Department of Medicine, Solna, Karolinska Institutet, Stockholm; Clinical Epidemiology and Biostatistics (S.M.), School of Medical Sciences, Örebro University, Sweden; Department of Epidemiology and Public Health (S.M.), University College London, UK; Division of Neurology (J.H.) and Neuroimmunology Unit (T.O.), Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; and Biostatistics and Epidemiology Unit (M.H., S.B.), Health Faculty, Golestan University of Medical Sciences, Golestan, Iran.
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Jan Hillert
From the Clinical Epidemiology Unit (S.B., S.M., M.H., S.B) and Centre for Pharmacoepidemiology (S.B., S.B.), Department of Medicine, Solna, Karolinska Institutet, Stockholm; Clinical Epidemiology and Biostatistics (S.M.), School of Medical Sciences, Örebro University, Sweden; Department of Epidemiology and Public Health (S.M.), University College London, UK; Division of Neurology (J.H.) and Neuroimmunology Unit (T.O.), Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; and Biostatistics and Epidemiology Unit (M.H., S.B.), Health Faculty, Golestan University of Medical Sciences, Golestan, Iran.
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Tomas Olsson
From the Clinical Epidemiology Unit (S.B., S.M., M.H., S.B) and Centre for Pharmacoepidemiology (S.B., S.B.), Department of Medicine, Solna, Karolinska Institutet, Stockholm; Clinical Epidemiology and Biostatistics (S.M.), School of Medical Sciences, Örebro University, Sweden; Department of Epidemiology and Public Health (S.M.), University College London, UK; Division of Neurology (J.H.) and Neuroimmunology Unit (T.O.), Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; and Biostatistics and Epidemiology Unit (M.H., S.B.), Health Faculty, Golestan University of Medical Sciences, Golestan, Iran.
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Shahram Bahmanyar
From the Clinical Epidemiology Unit (S.B., S.M., M.H., S.B) and Centre for Pharmacoepidemiology (S.B., S.B.), Department of Medicine, Solna, Karolinska Institutet, Stockholm; Clinical Epidemiology and Biostatistics (S.M.), School of Medical Sciences, Örebro University, Sweden; Department of Epidemiology and Public Health (S.M.), University College London, UK; Division of Neurology (J.H.) and Neuroimmunology Unit (T.O.), Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; and Biostatistics and Epidemiology Unit (M.H., S.B.), Health Faculty, Golestan University of Medical Sciences, Golestan, Iran.
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Citation
Mortality trends for multiple sclerosis patients in Sweden from 1968 to 2012
Sarah Burkill, Scott Montgomery, MohammadHossein Hajiebrahimi, Jan Hillert, Tomas Olsson, Shahram Bahmanyar
Neurology Aug 2017, 89 (6) 555-562; DOI: 10.1212/WNL.0000000000004216

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Abstract

Objective: To assess trends in mortality and causes of death for patients with multiple sclerosis (MS) relative to those without MS in Sweden.

Methods: Patients with an MS diagnosis in Sweden between 1964 and 2012 were identified with the Patient Register and the Multiple Sclerosis Register. For this cohort study, each patient with MS (n = 29,617) was matched with 10 individuals without MS (n = 296,164) on sex, year of birth, vital status, and region of residence at the time of MS diagnosis with the Total Population Register. The Causes of Death Register was used to identify causes of death. Cox proportional hazard models were constructed to assess whether risk of mortality was increased for patients with MS.

Results: The hazard ratio (HR) for patients with MS was 2.92 (95% confidence interval [CI] 2.86–2.99) for all-cause mortality over the entire study period. The largest differences between the cohorts were death resulting from respiratory (HR 5.07, 95% CI 4.87–5.26) and infectious (HR 4.07, 95% CI 3.70–4.47) diseases. Overall and for each specific cause, there have been improvements for the MS group and a subsequent reduction in the HR. The HR decreased from 6.52 (95% CI 5.79–7.34) for the period of 1968 to 1980 to 2.08 (95% CI 1.95–2.22) for the time period of 2001 to 2012. An interaction between time period and MS exposure showed that the decrease in mortality over time was statistically significant, with a larger decrease for patients with MS than their matched comparators.

Conclusions: There has been a substantial improvement in mortality overall and for each specified cause of death for patients with MS compared with individuals without MS; however, large differences still remain.

GLOSSARY

CI=
confidence interval;
HR=
hazard ratio;
ICD=
International Classification of Disease;
MS=
multiple sclerosis

Footnotes

  • Go to Neurology.org for full disclosures. Funding information and disclosures deemed relevant by the authors, if any, are provided at the end of the article.

  • Supplemental data at Neurology.org

  • Received February 13, 2017.
  • Accepted in final form May 15, 2017.
  • © 2017 American Academy of Neurology
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