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Öztürk B, Taşkıran E, Demir S, Tuncer MA, Kürtüncü M, Karabudak R, Siva A, Efendi H, Ata N, Ülgü MM, Birinci Ş. Prevalence and incidence of multiple sclerosis in Turkey: A nationwide epidemiologic study. Mult Scler 2024; 30:790-799. [PMID: 38616518 DOI: 10.1177/13524585241245318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
BACKGROUND Many studies on multiple sclerosis (MS) reveal different prevalence and epidemiologic results. OBJECTIVES In this study, we aimed to determine the epidemiologic profile of MS using official health records in Turkey. METHODS Patients diagnosed with MS from the official health data of the Ministry of Health, representing the entire population of Turkey, were included in the study. Prevalence and incidence calculations were performed using the data on gender, age, year of birth, city of residence, and year of diagnosis. RESULTS As a result of the study, the number of patients with the ICD code G35 was determined as 201,061 and the number of patients with this code entered at least three times was determined as 82,225. The prevalence of MS in Turkey was calculated as 96.4 per 100,000 and the female/male ratio as 2.1/1. The incidence of MS in 2022 was 6.2 per 100,000 and the mean patient age was 43.1 ± 13.3 years (female: 43.0 ± 13.1 vs male: 43.2 ± 13.7) while the mean age at first diagnosis was 34.0 ± 13.0 (female: 33.6 ± 12.6 vs male: 34.9 ± 13.7). CONCLUSION The research was conducted via Official Database of Turkey, which includes population of 85 million and provides valuable insights into the prevalence and incidence rates of this chronic disease.
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Affiliation(s)
- Bilgin Öztürk
- Department of Neurology, University of Health Sciences Gülhane Training and Research Hospital, Ankara, Turkey
| | - Esra Taşkıran
- Department of Neurology, University of Health Sciences Antalya Training and Research Hospital, Antalya, Turkey
| | - Serkan Demir
- Department of Neurology, University of Health Sciences Sancaktepe Şehit Prof. Dr. İlhan Varank Training and Research Hospital, İstanbul, Turkey
| | - Meryem Aslı Tuncer
- Department of Neurology, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Murat Kürtüncü
- Department of Neurology, Istanbul Faculty of Medicine, Istanbul University, İstanbul, Turkey
| | - Rana Karabudak
- Department of Neurology, Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | - Aksel Siva
- Department of Neurology, Faculty of Medicine, Istanbul University-Cerrahpasa, İstanbul, Turkey
| | - Hüsnü Efendi
- Department of Neurology, Faculty of Medicine, Kocaeli University, Kocaeli, Turkey
| | - Naim Ata
- Ministry of Health, Ankara, The Republic of Turkey
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Sisodiya SM, Gulcebi MI, Fortunato F, Mills JD, Haynes E, Bramon E, Chadwick P, Ciccarelli O, David AS, De Meyer K, Fox NC, Davan Wetton J, Koltzenburg M, Kullmann DM, Kurian MA, Manji H, Maslin MA, Matharu M, Montgomery H, Romanello M, Werring DJ, Zhang L, Friston KJ, Hanna MG. Climate change and disorders of the nervous system. Lancet Neurol 2024; 23:636-648. [PMID: 38760101 DOI: 10.1016/s1474-4422(24)00087-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/12/2024] [Accepted: 02/27/2024] [Indexed: 05/19/2024]
Abstract
Anthropogenic climate change is affecting people's health, including those with neurological and psychiatric diseases. Currently, making inferences about the effect of climate change on neurological and psychiatric diseases is challenging because of an overall sparsity of data, differing study methods, paucity of detail regarding disease subtypes, little consideration of the effect of individual and population genetics, and widely differing geographical locations with the potential for regional influences. However, evidence suggests that the incidence, prevalence, and severity of many nervous system conditions (eg, stroke, neurological infections, and some mental health disorders) can be affected by climate change. The data show broad and complex adverse effects, especially of temperature extremes to which people are unaccustomed and wide diurnal temperature fluctuations. Protective measures might be possible through local forecasting. Few studies project the future effects of climate change on brain health, hindering policy developments. Robust studies on the threats from changing climate for people who have, or are at risk of developing, disorders of the nervous system are urgently needed.
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Affiliation(s)
- Sanjay M Sisodiya
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK; Chalfont Centre for Epilepsy, Chalfont-St-Peter, UK.
| | - Medine I Gulcebi
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK; Chalfont Centre for Epilepsy, Chalfont-St-Peter, UK
| | - Francesco Fortunato
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK; Chalfont Centre for Epilepsy, Chalfont-St-Peter, UK
| | - James D Mills
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK; Chalfont Centre for Epilepsy, Chalfont-St-Peter, UK
| | - Ethan Haynes
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK; Chalfont Centre for Epilepsy, Chalfont-St-Peter, UK
| | - Elvira Bramon
- Division of Psychiatry, University College London, London, UK
| | - Paul Chadwick
- Centre for Behaviour Change, University College London, London, UK
| | - Olga Ciccarelli
- Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, UK; National Institute of Health Research University College London Hospitals Biomedical Research Centre, London, UK
| | - Anthony S David
- Division of Psychiatry, University College London, London, UK
| | - Kris De Meyer
- UCL Climate Action Unit, University College London, London, UK
| | - Nick C Fox
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK; Department of the UK Dementia Research Institute, UCL Queen Square Institute of Neurology, University College London, London, UK
| | | | - Martin Koltzenburg
- Department of Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Dimitri M Kullmann
- Department of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Manju A Kurian
- Department of Developmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Hadi Manji
- National Hospital for Neurology and Neurosurgery, London, UK
| | - Mark A Maslin
- Department of Geography, University College London, London, UK; Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark
| | - Manjit Matharu
- Headache and Facial Pain Group, UCL Queen Square Institute of Neurology, UCL and the National Hospital for Neurology and Neurosurgery, London, UK
| | - Hugh Montgomery
- Department of Medicine, University College London, London, UK
| | - Marina Romanello
- Institute for Global Health, University College London, London, UK
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Lisa Zhang
- Centre for Behaviour Change, University College London, London, UK
| | - Karl J Friston
- Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology, University College London, London, UK
| | - Michael G Hanna
- Centre for Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, UK; MRC International Centre for Genomic Medicine in Neuromuscular Diseases, Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London, UK
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3
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Wu J, Olsson T, Alfredsson L, Hedström AK. Association between sun exposure habits and disease progression in multiple sclerosis. Eur J Neurol 2024; 31:e16269. [PMID: 38440929 DOI: 10.1111/ene.16269] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 01/16/2024] [Accepted: 02/16/2024] [Indexed: 03/06/2024]
Abstract
BACKGROUND AND PURPOSE Higher latitude has been associated with increased occurrence of multiple sclerosis (MS) and with more severe disease. The aim was to study the impact of sun exposure habits on MS disease progression and health-related quality of life. METHODS Patients from a population-based case-control study were categorized based on sun exposure habits at diagnosis and were followed up to 15 years post-diagnosis through the Swedish MS registry (n = 3314) with regard to changes in Expanded Disability Status Scale (EDSS). Linear mixed models were used to analyse long-term changes, while Cox regression models, with 95% confidence intervals, were used to investigate outcomes, including 24-week confirmed diasability worsening, EDSS3, EDSS4, and physical worsening as measured by the physical component of the Multiple Sclerosis Impact Scale 29. RESULTS Compared to average sun exposure (median value), low exposure to sunlight was associated with faster EDSS progression, increased risk of confirmed disability worsening (hazard ratio [HR] 1.48, 95% CI 1.21-1.81), increased risk of reaching EDSS 3 (HR 1.35, 95% CI 1.02-1.79), EDSS 4 (HR 1.47, 95% CI 1.01-2.20) and self-reported physical worsening (HR 1.27, 95% CI 1.00-1.62). Significant trends revealed a lower risk of unfavourable outcomes with increasing sun exposure. CONCLUSIONS Very low levels of sun exposure are associated with worse disease progression and health-related quality of life in patients with MS.
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Affiliation(s)
- Jing Wu
- Department of Neurobiology, Care Sciences and Society, Aging Research Center, Karolinska Institutet and Stockholm University, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Anna Karin Hedström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Madronich S, Bernhard GH, Neale PJ, Heikkilä A, Andersen MPS, Andrady AL, Aucamp PJ, Bais AF, Banaszak AT, Barnes PJ, Bornman JF, Bruckman LS, Busquets R, Chiodo G, Häder DP, Hanson ML, Hylander S, Jansen MAK, Lingham G, Lucas RM, Calderon RM, Olsen C, Ossola R, Pandey KK, Petropavlovskikh I, Revell LE, Rhodes LE, Robinson SA, Robson TM, Rose KC, Schikowski T, Solomon KR, Sulzberger B, Wallington TJ, Wang QW, Wängberg SÅ, White CC, Wilson SR, Zhu L, Neale RE. Continuing benefits of the Montreal Protocol and protection of the stratospheric ozone layer for human health and the environment. Photochem Photobiol Sci 2024:10.1007/s43630-024-00577-8. [PMID: 38763938 DOI: 10.1007/s43630-024-00577-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 04/09/2024] [Indexed: 05/21/2024]
Abstract
The protection of Earth's stratospheric ozone (O3) is an ongoing process under the auspices of the universally ratified Montreal Protocol and its Amendments and adjustments. A critical part of this process is the assessment of the environmental issues related to changes in O3. The United Nations Environment Programme's Environmental Effects Assessment Panel provides annual scientific evaluations of some of the key issues arising in the recent collective knowledge base. This current update includes a comprehensive assessment of the incidence rates of skin cancer, cataract and other skin and eye diseases observed worldwide; the effects of UV radiation on tropospheric oxidants, and air and water quality; trends in breakdown products of fluorinated chemicals and recent information of their toxicity; and recent technological innovations of building materials for greater resistance to UV radiation. These issues span a wide range of topics, including both harmful and beneficial effects of exposure to UV radiation, and complex interactions with climate change. While the Montreal Protocol has succeeded in preventing large reductions in stratospheric O3, future changes may occur due to a number of natural and anthropogenic factors. Thus, frequent assessments of potential environmental impacts are essential to ensure that policies remain based on the best available scientific knowledge.
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Affiliation(s)
- S Madronich
- National Center for Atmospheric Research, Boulder, CO, USA.
- Natural Resource Ecology Laboratory, USDA UV-B Monitoring and Research Program, Colorado State University, Fort Collins, CO, USA.
| | - G H Bernhard
- Biospherical Instruments Inc, San Diego, CA, USA
| | - P J Neale
- Smithsonian Environmental Research Center, Edgewater, MD, USA
| | - A Heikkilä
- Finnish Meteorological Institute, Helsinki, Finland
| | - M P Sulbæk Andersen
- Department of Chemistry and Biochemistry, California State University Northridge, Northridge, CA, USA
- Department of Chemistry, University of Copenhagen, Copenhagen, Denmark
| | - A L Andrady
- Department of Chemical and Biomolecular Engineering, North Carolina State University , Raleigh, NC, USA
| | - P J Aucamp
- Ptersa Environmental Consultants, Faerie Glen, South Africa
| | - A F Bais
- Laboratory of Atmospheric Physics, Department of Physics, Aristotle University, Thessaloniki, Greece
| | - A T Banaszak
- Unidad Académica de Sistemas Arrecifales, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México, Puerto Morelos, Mexico
| | - P J Barnes
- Department of Biological Sciences and Environment Program, Loyola University New Orleans, New Orleans, LA, USA
| | - J F Bornman
- Food Futures Institute, Murdoch University, Perth, Australia
| | - L S Bruckman
- Department of Materials Science and Engineering, Reserve University, Cleveland, OH, USA
| | - R Busquets
- Chemical and Pharmaceutical Sciences, Kingston University London, Kingston Upon Thames, UK
| | - G Chiodo
- Institute for Atmospheric and Climate Science, ETH Zürich, Zurich, Switzerland
| | - D-P Häder
- Friedrich-Alexander University, Möhrendorf, Germany
| | - M L Hanson
- Department of Environment and Geography, University of Manitoba, Winnipeg, MB, Canada
| | - S Hylander
- Centre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden
| | - M A K Jansen
- School of Biological, Earth and Environmental Sciences, University College, Cork, Ireland
| | - G Lingham
- Centre For Ophthalmology and Visual Science (Incorporating Lion's Eye Institute), University of Western Australia, Perth, Australia
- Centre for Eye Research Ireland, Environmental, Sustainability and Health Institute, Technological University Dublin, Dublin, Ireland
| | - R M Lucas
- National Centre for Epidemiology and Population Health, College of Health and Medicine, Australian National University, Canberra, Australia
| | - R Mackenzie Calderon
- Cape Horn International Center, Puerto Williams, Chile
- Millennium Institute Biodiversity of Antarctic and Subantarctic Ecosystems BASE, Santiago, Chile
- Centro Universitario Cabo de Hornos, Universidad de Magallanes, O'Higgins 310, Puerto Williams, Chile
| | - C Olsen
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - R Ossola
- Department of Chemistry, Colorado State University, Fort Collins, CO, USA
| | - K K Pandey
- Indian Academy of Wood Science, Bengaluru, India
| | - I Petropavlovskikh
- Cooperative Institute for Research in Environmental Sciences, University of Colorado , Boulder, CO, USA
- NOAA Global Monitoring Laboratory, Boulder, CO, USA
| | - L E Revell
- School of Physical and Chemical Sciences, University of Canterbury, Christchurch, New Zealand
| | - L E Rhodes
- Faculty of Biology Medicine and Health, School of Biological Sciences, The University of Manchester, Manchester, UK
- Dermatology Centre, Salford Royal Hospital, Greater Manchester, UK
| | - S A Robinson
- Securing Antarctica's Environmental Future, University of Wollongong, Wollongong, Australia
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
| | - T M Robson
- UK National School of Forestry, University of Cumbria, Ambleside Campus, UK
- Viikki Plant Science Centre, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - K C Rose
- Department of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, USA
| | - T Schikowski
- IUF-Leibniz Research Institute for Environmental Medicine, Dusseldorf, Germany
| | - K R Solomon
- School of Environmental Sciences, University of Guelph, Guelph, Canada
| | - B Sulzberger
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland
| | - T J Wallington
- Center for Sustainable Systems, School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA
| | - Q-W Wang
- Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China
| | - S-Å Wängberg
- Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | | | - S R Wilson
- School of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, Australia
| | - L Zhu
- State Key Lab for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, China
| | - R E Neale
- Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
- School of Public Health, University of Queensland, Brisbane, Australia.
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5
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Wang J, Zhou H, Chen H, Feng H, Chang T, Sun C, Guo R, Ruan Z, Bi F, Li J, Wang J, Wang K, Ma G, Lei S, Wang C, Wang Z, Huang F, Zhang S, Wen Q, Wang Y, Sun Y, Li Y, Xie N, Liu H, Jiang Y, Lei L, Fan Z, Su S, Lu Y, Di L, Xu M, Wang M, Chen H, Wang S, Wen X, Zhu W, Duo J, Huang Y, Zheng D, Da Y. Environmental factors affecting the risk of generalization for ocular-onset myasthenia gravis: a nationwide cohort study. QJM 2024; 117:109-118. [PMID: 37802883 DOI: 10.1093/qjmed/hcad225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/20/2023] [Indexed: 10/08/2023] Open
Abstract
BACKGROUND The environmental effects on the prognosis of ocular myasthenia gravis (OMG) remain largely unexplored. AIM To investigate the association between specific environmental factors and the generalization of OMG. DESIGN The cohort study was conducted in China based on a nationwide multicenter database. METHODS Adult patients with OMG at onset, who were followed up for at least 2 years until May 2022, were included. We collected data on demographic and clinical factors, as well as environmental factors, including latitude, socioeconomic status (per capita disposable income [PDI] at provincial level and education) and smoking. The study outcome was the time to the development of generalized myasthenia gravis (GMG). Cox models were employed to examine the association between environmental exposures and generalization. Restricted cubic spline was used to model the association of latitude with generalization risk. RESULTS A total of 1396 participants were included. During a median follow-up of 5.15 (interquartile range [IQR] 3.37-9.03) years, 735 patients developed GMG within a median of 5.69 (IQR 1.10-15.66) years. Latitude of 20-50°N showed a U-shaped relation with generalization risk, with the lowest risk at around 30°N; both higher and lower latitudes were associated with the increased risk (P for non-linearity <0.001). Living in areas with lower PDI had 1.28-2.11 times higher risk of generalization. No significant association was observed with education or smoking. CONCLUSIONS Latitude and provincial-level PDI were associated with the generalization of OMG in China. Further studies are warranted to validate our findings and investigate their potential applications in clinical practice and health policy.
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Affiliation(s)
- Jingsi Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Hongxi Chen
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Huiyu Feng
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Ting Chang
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Chao Sun
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Rongjing Guo
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Zhe Ruan
- Department of Neurology, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China
| | - Fangfang Bi
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jing Li
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Jianwen Wang
- Department of Neurology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Kang Wang
- Department of Neurology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China
| | - Gaoting Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shaoyuan Lei
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chunxiu Wang
- Department of Evidence-Based Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Feifei Huang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shu Zhang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Qi Wen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yaye Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yanan Sun
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yun Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Nairong Xie
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Haoran Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yuting Jiang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Lin Lei
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhirong Fan
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Shengyao Su
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yan Lu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Li Di
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Min Xu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Min Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Hai Chen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Suobin Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xinmei Wen
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wenjia Zhu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jianying Duo
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yue Huang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Yuwei Da
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
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6
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Fleming NH, Bahorik A, Xia F, Yaffe K. Risk of dementia in older veterans with multiple sclerosis. Mult Scler Relat Disord 2024; 82:105372. [PMID: 38104510 PMCID: PMC11001267 DOI: 10.1016/j.msard.2023.105372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/29/2023] [Accepted: 12/10/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND While it is widely accepted that multiple sclerosis (MS) often causes cognitive dysfunction, it is thought that these cognitive symptoms rarely progress to dementia. However, this has not been thoroughly investigated. The objectives of this cohort study are to determine whether people with MS have an increased risk of dementia compared to the general population and to identify factors, such as geographic latitude, which may modify this association. METHODS We studied data from a random sample of US veterans aged ≥ 55 years followed at Veterans Affairs Health Care Systems nationwide from 1999 to 2019. We identified all patients diagnosed with MS using ICD codes over a two-year baseline period. We then identified a comparison cohort of patients without MS matched 1:1 on sex, age, race, and first encounter date. We constructed Cox proportional hazards regression models to determine the association between MS and dementia while controlling for demographic factors and comorbidities, with additional models to examine subgroup effects. We used Fine-Gray subdistribution hazard models accounting for competing risk of death to evaluate the sensitivity of the findings. RESULTS The study included 4084 MS patients and a matched group of 4084 non-MS patients. Overall, patients had mean age 66, were 93.6% male, and 88.1% non-Hispanic White, with mean follow-up time 9.5 years (MS) and 10.8 years (non-MS). In unadjusted models, veterans with MS had greater risk of dementia compared to matched controls (cumulative incidence 16.7% vs 12.4%; Cox HR 1.58, 95% CI 1.41-1.78). The increased risk remained after adjustment for potential confounders (adjusted HR 1.56, 95% CI 1.39-1.76) and when considering death as a competing risk (Fine-Gray HR 1.36, 95% CI 1.21-1.53). The magnitude of the MS-dementia association increased with rising geographic latitude (North HR 1.86, 1.51-2.30; Central HR 1.61, 1.42-1.82; South HR 1.39, 1.18-1.64; interaction p = 0.04) and younger baseline age (interaction p<0.001). CONCLUSIONS Among older veterans with MS, risk of dementia diagnosis was higher compared to matched controls even after controlling for comorbidities. The risk difference was highest in northern regions and in younger patients. Clinicians caring for older MS patients should be aware of this risk and offer screening and treatment accordingly.
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Affiliation(s)
- Nathaniel H Fleming
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, 505 Parnassus Ave, Box 0114, San Francisco, CA 94143, United States; San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States.
| | - Amber Bahorik
- San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, 1651 4th Street, San Francisco, CA 94143, United States
| | - Feng Xia
- San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Northern California Institute for Research and Education, 4150 Clement Street, San Francisco, CA 94121, United States
| | - Kristine Yaffe
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, 505 Parnassus Ave, Box 0114, San Francisco, CA 94143, United States; San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, 1651 4th Street, San Francisco, CA 94143, United States; Northern California Institute for Research and Education, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, San Francisco, CA 94143, United States
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Sharmin S, Roos I, Simpson-Yap S, Malpas C, Sánchez MM, Ozakbas S, Horakova D, Havrdova EK, Patti F, Alroughani R, Izquierdo G, Eichau S, Boz C, Zakaria M, Onofrj M, Lugaresi A, Weinstock-Guttman B, Prat A, Girard M, Duquette P, Terzi M, Amato MP, Karabudak R, Grand’Maison F, Khoury SJ, Grammond P, Lechner-Scott J, Buzzard K, Skibina O, van der Walt A, Butzkueven H, Turkoglu R, Altintas A, Maimone D, Kermode A, Shalaby N, Pesch VV, Butler E, Sidhom Y, Gouider R, Mrabet S, Gerlach O, Soysal A, Barnett M, Kuhle J, Hughes S, Sa MJ, Hodgkinson S, Oreja-Guevara C, Ampapa R, Petersen T, Ramo-Tello C, Spitaleri D, McCombe P, Taylor B, Prevost J, Foschi M, Slee M, McGuigan C, Laureys G, Hijfte LV, de Gans K, Solaro C, Oh J, Macdonell R, Aguera-Morales E, Singhal B, Gray O, Garber J, Wijmeersch BV, Simu M, Castillo-Triviño T, Sanchez-Menoyo JL, Khurana D, Al-Asmi A, Al-Harbi T, Deri N, Fragoso Y, Lalive PH, Sinnige LGF, Shaw C, Shuey N, Csepany T, Sempere AP, Moore F, Decoo D, Willekens B, Gobbi C, Massey J, Hardy T, Parratt J, Kalincik T. The risk of secondary progressive multiple sclerosis is geographically determined but modifiable. Brain 2023; 146:4633-4644. [PMID: 37369086 PMCID: PMC10629760 DOI: 10.1093/brain/awad218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 05/16/2023] [Accepted: 05/21/2023] [Indexed: 06/29/2023] Open
Abstract
Geographical variations in the incidence and prevalence of multiple sclerosis have been reported globally. Latitude as a surrogate for exposure to ultraviolet radiation but also other lifestyle and environmental factors are regarded as drivers of this variation. No previous studies evaluated geographical variation in the risk of secondary progressive multiple sclerosis, an advanced form of multiple sclerosis that is characterized by steady accrual of irreversible disability. We evaluated differences in the risk of secondary progressive multiple sclerosis in relation to latitude and country of residence, modified by high-to-moderate efficacy immunotherapy in a geographically diverse cohort of patients with relapsing-remitting multiple sclerosis. The study included relapsing-remitting multiple sclerosis patients from the global MSBase registry with at least one recorded assessment of disability. Secondary progressive multiple sclerosis was identified as per clinician diagnosis. Sensitivity analyses used the operationalized definition of secondary progressive multiple sclerosis and the Swedish decision tree algorithm. A proportional hazards model was used to estimate the cumulative risk of secondary progressive multiple sclerosis by country of residence (latitude), adjusted for sex, age at disease onset, time from onset to relapsing-remitting phase, disability (Multiple Sclerosis Severity Score) and relapse activity at study inclusion, national multiple sclerosis prevalence, government health expenditure, and proportion of time treated with high-to-moderate efficacy disease-modifying therapy. Geographical variation in time from relapsing-remitting phase to secondary progressive phase of multiple sclerosis was modelled through a proportional hazards model with spatially correlated frailties. We included 51 126 patients (72% female) from 27 countries. The median survival time from relapsing-remitting phase to secondary progressive multiple sclerosis among all patients was 39 (95% confidence interval: 37 to 43) years. Higher latitude [median hazard ratio = 1.21, 95% credible interval (1.16, 1.26)], higher national multiple sclerosis prevalence [1.07 (1.03, 1.11)], male sex [1.30 (1.22, 1.39)], older age at onset [1.35 (1.30, 1.39)], higher disability [2.40 (2.34, 2.47)] and frequent relapses [1.18 (1.15, 1.21)] at inclusion were associated with increased hazard of secondary progressive multiple sclerosis. Higher proportion of time on high-to-moderate efficacy therapy substantially reduced the hazard of secondary progressive multiple sclerosis [0.76 (0.73, 0.79)] and reduced the effect of latitude [interaction: 0.95 (0.92, 0.99)]. At the country-level, patients in Oman, Tunisia, Iran and Canada had higher risks of secondary progressive multiple sclerosis relative to the other studied regions. Higher latitude of residence is associated with a higher probability of developing secondary progressive multiple sclerosis. High-to-moderate efficacy immunotherapy can mitigate some of this geographically co-determined risk.
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Affiliation(s)
- Sifat Sharmin
- CORe, Department of Medicine, University of Melbourne, Melbourne 3050, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne 3050, Australia
| | - Izanne Roos
- CORe, Department of Medicine, University of Melbourne, Melbourne 3050, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne 3050, Australia
| | - Steve Simpson-Yap
- CORe, Department of Medicine, University of Melbourne, Melbourne 3050, Australia
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3050, Australia
- Menzies Institute for Medical Research, University of Tasmania, Tasmania 7000, Australia
| | - Charles Malpas
- CORe, Department of Medicine, University of Melbourne, Melbourne 3050, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne 3050, Australia
| | - Marina M Sánchez
- CORe, Department of Medicine, University of Melbourne, Melbourne 3050, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne 3050, Australia
- Department of Neurology, Hospital Germans Trias i Pujol, Badalona 08916, Spain
| | - Serkan Ozakbas
- Faculty of Medicine, Dokuz Eylul University, Konak/Izmir 35220, Turkey
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague 12808, Czech Republic
| | - Eva K Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University in Prague and General University Hospital, Prague 12808, Czech Republic
| | - Francesco Patti
- Department of Medical and Surgical Sciences and Advanced Technologies, GF Ingrassia, Catania 95123, Italy
| | - Raed Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Sharq 73767, Kuwait
| | - Guillermo Izquierdo
- Multiple Sclerosis Unit, Hospital Universitario Virgen Macarena, Sevilla 41009, Spain
| | - Sara Eichau
- Multiple Sclerosis Unit, Hospital Universitario Virgen Macarena, Sevilla 41009, Spain
| | - Cavit Boz
- Faculty of Medicine, Karadeniz Technical University, Karadeniz Technical University Farabi Hospital, Trabzon 61080, Turkey
| | - Magd Zakaria
- Faculty of Medicine, Ain Shams University, Cairo 11566, Egypt
| | - Marco Onofrj
- Department of Neuroscience, Imaging, and Clinical Sciences, University G. d’Annunzio, Chieti 66013, Italy
| | - Alessandra Lugaresi
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna 40139, Italy
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Multiple Sclerosis Center for Treatment and Research, University at Buffalo, Buffalo 14202, USA
| | - Alexandre Prat
- CHUM MS Center, Faculty of Medicine, Universite de Montreal, Montreal H2L 4M1, Canada
| | - Marc Girard
- CHUM MS Center, Faculty of Medicine, Universite de Montreal, Montreal H2L 4M1, Canada
| | - Pierre Duquette
- CHUM MS Center, Faculty of Medicine, Universite de Montreal, Montreal H2L 4M1, Canada
| | - Murat Terzi
- Faculty of Medicine, 19 Mayis University, Samsun 55160, Turkey
| | - Maria Pia Amato
- Department NEUROFARBA, University of Florence, Florence 50134, Italy
| | - Rana Karabudak
- Department of Neurology, Hacettepe University, Ankara 6100, Turkey
| | | | - Samia J Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut 1107 2020, Lebanon
| | - Pierre Grammond
- Médecine spécialisée, CISSS Chaudière-Appalaches, Levis G6X 0A1, Canada
| | | | - Katherine Buzzard
- Department of Neurology, Box Hill Hospital, Melbourne 3128, Australia
| | - Olga Skibina
- Department of Neurology, Box Hill Hospital, Melbourne 3128, Australia
| | | | - Helmut Butzkueven
- Department of Neurology, The Alfred Hospital, Melbourne 3000, Australia
| | - Recai Turkoglu
- Department of Neurology, Haydarpasa Numune Training and Research Hospital, Istanbul 34668, Turkey
| | - Ayse Altintas
- Department of Neurology, School of Medicine, Koc University, Koc University Research Center for Translational Medicine (KUTTAM), Istanbul 34450, Turkey
| | - Davide Maimone
- Centro Sclerosi Multipla, UOC Neurologia, ARNAS Garibaldi, Catania 95124, Italy
| | - Allan Kermode
- Perron Institute, University of Western Australia, Nedlands 6009, Australia
| | - Nevin Shalaby
- Department of Neurology, Kasr Al Ainy MS Research Unit (KAMSU), Cairo 11562, Egypt
| | - Vincent V Pesch
- Service de Neurologie, Cliniques Universitaires Saint-Luc, Brussels 1200 BXL, Belgium
| | | | - Youssef Sidhom
- Department of Neurology, Razi Hospital, Manouba 2010, Tunisia
| | - Riadh Gouider
- Department of Neurology, Razi Hospital, Manouba 2010, Tunisia
- Clinical Investigation Center Neurosciences and Mental Health, Faculty of Medicine, University of Tunis El Manar, Tunis 1068, Tunisia
| | - Saloua Mrabet
- Department of Neurology, Razi Hospital, Manouba 2010, Tunisia
- Clinical Investigation Center Neurosciences and Mental Health, Faculty of Medicine, University of Tunis El Manar, Tunis 1068, Tunisia
| | - Oliver Gerlach
- Academic MS Center Zuyderland, Department of Neurology, Zuyderland Medical Center, Sittard-Geleen 5500, The Netherlands
- School for Mental Health and Neuroscience, Department of Neurology, Maastricht University Medical Center, Maastricht 6131 BK, The Netherlands
| | - Aysun Soysal
- Department of Neurology, Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul 34147, Turkey
| | - Michael Barnett
- Multiple Sclerosis Clinic, Brain and Mind Centre, Sydney 2050, Australia
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine and Clinical Research, University Hospital and University of Basel, Basel 4000, Switzerland
| | - Stella Hughes
- Department of Neurology, Royal Victoria Hospital, Belfast BT12 6BA, UK
| | - Maria J Sa
- Department of Neurology, Centro Hospitalar Universitario de Sao Joao, Porto 4200-319, Portugal
| | - Suzanne Hodgkinson
- Immune tolerance laboratory Ingham Institute and Department of Medicine, University of New South Wales, Sydney 2170, Australia
| | | | - Radek Ampapa
- MS centrum, Nemocnice Jihlava, Jihlava 58633, Czech Republic
| | - Thor Petersen
- Department of Neurology, Aarhus University Hospital, Arhus C 8000, Denmark
| | - Cristina Ramo-Tello
- Department of Neurology, Hospital Germans Trias i Pujol, Badalona 8916, Spain
| | - Daniele Spitaleri
- Centro Sclerosi Multipla, Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino, Avellino 83100, Italy
| | - Pamela McCombe
- Royal Brisbane and Women’s Hospital, University of Queensland, Brisbane 4000, Australia
| | - Bruce Taylor
- Department of Neurology, Royal Hobart Hospital, Hobart 7000, Australia
| | - Julie Prevost
- Département de neurologie, CSSS Saint-Jérôme, Saint-Jerome J7Z 5T3, Canada
| | - Matteo Foschi
- Department of Neuroscience, Neurology Unit, S. Maria delle Croci Hospital of Ravenna, Ravenna 48121, Italy
| | - Mark Slee
- College of Medicine and Public Health, Flinders University, Adelaide 5042, Australia
| | - Chris McGuigan
- Department of Neurology, St Vincent’s University Hospital, Dublin D04 T6F4, Ireland
| | - Guy Laureys
- Department of Neurology, Universitary Hospital Ghent, Ghent 9000, Belgium
| | - Liesbeth V Hijfte
- Department of Neurology, Universitary Hospital Ghent, Ghent 9000, Belgium
| | - Koen de Gans
- Department of Neurology, Groene Hart Hospital, Gouda 2800 BB, The Netherlands
| | - Claudio Solaro
- Department of Rehabilitation, CRRF ‘Mons. Luigi Novarese’, Moncrivello (VC) 16153, Italy
| | - Jiwon Oh
- Barlo Multiple Sclerosis Centre, St. Michael’s Hospital, Toronto M5B1W8, Canada
| | | | | | - Bhim Singhal
- Department of Neurology, Bombay Hospital Institute of Medical Sciences, Mumbai 400020, India
| | - Orla Gray
- Department of Neurology, South Eastern HSC Trust, Belfast BT16, UK
| | - Justin Garber
- Department of Neurology, Westmead Hospital, Sydney 2145, Australia
| | - Bart V Wijmeersch
- Rehabilitation and MS-Centre Overpelt, Hasselt University, Hasselt 3900, Belgium
| | - Mihaela Simu
- Clinic of Neurology II, Emergency Clinical County Hospital ‘Pius Brinzeu’, Timisoara 300723, Romania
- Department of Neurology, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara 300041, Romania
| | | | | | - Dheeraj Khurana
- Department of Neurology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India
| | - Abdullah Al-Asmi
- Department of Medicine, Sultan Qaboos University Hospital, Al-Khodh 123, Oman
| | - Talal Al-Harbi
- Neurology Department, King Fahad Specialist Hospital-Dammam, Khobar 31952, Saudi Arabia
| | - Norma Deri
- Hospital Fernandez, Buenos Aires 1425, Argentina
| | - Yara Fragoso
- Department of Neurology, Universidade Metropolitana de Santos, Santos 11045-002, Brazil
| | - Patrice H Lalive
- Department of Clinical Neurosciences, Division of Neurology, Faculty of Medicine, Geneva University Hospital, Geneva 1211, Switzerland
| | - L G F Sinnige
- Department of Neurology, Medical Center Leeuwarden, Leeuwarden 8934 AD, The Netherlands
| | - Cameron Shaw
- Neuroscience Department, Barwon Health, University Hospital Geelong, Geelong 3220, Australia
| | - Neil Shuey
- Department of Neurology, St Vincents Hospital, Fitzroy, Melbourne 3065, Australia
| | - Tunde Csepany
- Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen 4032, Hungary
| | - Angel P Sempere
- Department of Neurology, Hospital General Universitario de Alicante, Alicante 3010, Spain
| | - Fraser Moore
- Department of Neurology, McGill University, Montreal H3T 1E2, Canada
| | - Danny Decoo
- Department of Neurology & Neuro-Rehabilitation, AZ Alma Ziekenhuis, Sijsele-Damme 8340, Belgium
| | - Barbara Willekens
- Department of Neurology, Antwerp University Hospital, Edegem 2650, Belgium
- Translational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk 2650, Belgium
| | | | | | - Todd Hardy
- Concord Repatriation General Hospital, Sydney 2139, Australia
| | - John Parratt
- Royal North Shore Hospital, Sydney 2065, Australia
| | - Tomas Kalincik
- CORe, Department of Medicine, University of Melbourne, Melbourne 3050, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Melbourne 3050, Australia
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Johnson CR, Thacher TD. Vitamin D: immune function, inflammation, infections and auto-immunity. Paediatr Int Child Health 2023; 43:29-39. [PMID: 36857810 DOI: 10.1080/20469047.2023.2171759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 10/12/2022] [Indexed: 03/03/2023]
Abstract
Vitamin D plays an active role beyond mineral metabolism and skeletal health, including regulation of the immune system. Vitamin D deficiency is widely prevalent, and observational studies link low vitamin D status to a risk of infections and auto-immune disorders. Reports indicate an inverse relationship between vitamin D status and such conditions. This review details vitamin D signalling interactions with the immune system and provides experimental and clinical evidence evaluating vitamin D status, vitamin D supplementation and host susceptibility to infections, inflammation and auto-immunity. The published literature including related reviews, systematic reviews, meta-analyses, randomised controlled trials (RCTs), observational studies and basic science reports have been synthesised. Meta-analyses of observational studies have demonstrated a link between low vitamin D status and risk of acute respiratory infections, COVID-19 disorders, multiple sclerosis, type 1 diabetes (T1DM), inflammatory bowel disease (IBD), systemic lupus erythematosus and other auto-immune disorders. Observational studies suggest that vitamin D supplementation may protect against several infectious and auto-immune conditions. Meta-analyses of RCTs had mixed results, demonstrating a small protective role for vitamin D supplementation against acute respiratory infections, especially in those with vitamin D deficiency and children, and providing modest benefits for the management of T1DM and IBD. Vitamin D status is inversely associated with the incidence of several infectious and auto-immune conditions. Supplementation is recommended for those with vitamin D deficiency or at high risk of deficiency, and it might provide additional benefit in acute respiratory infections and certain auto-immune conditions.
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Affiliation(s)
- Casey R Johnson
- Department of Pediatric Gastroenterology, Hepatology, and Nutrition, Boston Children's Hospital, Boston, Massachusetts, USA
| | - Tom D Thacher
- Department of Family Medicine, Mayo Clinic, Rochester, New York, USA
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9
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Malekifar P, Nedjat S, Abdollahpour I, Nazemipour M, Malekifar S, Mansournia MA. Impact of Alcohol Consumption on Multiple Sclerosis Using Model-based Standardization and Misclassification Adjustment Via Probabilistic Bias Analysis. ARCHIVES OF IRANIAN MEDICINE 2023; 26:567-574. [PMID: 38310413 PMCID: PMC10862089 DOI: 10.34172/aim.2023.83] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 08/06/2023] [Indexed: 02/05/2024]
Abstract
BACKGROUND The etiology of multiple sclerosis (MS) is still not well-demonstrated, and assessment of some risk factors like alcohol consumption has problems like confounding and measurement bias. To determine the causal effect of alcohol consumption on MS after adjusting for alcohol consumption misclassification bias and confounders. METHODS In a population-based incident case-control study, 547 patients with MS and 1057 healthy people were recruited. A minimally sufficient adjustment set of confounders was derived using the causal directed acyclic graph. The probabilistic bias analysis method (PBAM) using beta, logit-logistic, and triangular probability distributions for sensitivity/specificity to adjust for misclassification bias in self-reporting alcohol consumption and model-based standardization (MBS) to estimate the causal effect of alcohol consumption were used. Population attributable fraction (PAF) estimates with 95% Monte Carlo sensitivity analysis (MCSA) intervals were calculated using PBAM and MBS analysis. Bootstrap was used to deal with random errors. RESULTS The adjusted risk ratio (95% MCSA interval) from the probabilistic bias analysis and MBS between alcohol consumption and MS using the three distribution was in the range of 1.93 (1.07 to 4.07) to 2.02 (1.15 to 4.69). The risk difference (RD) in all three scenarios was 0.0001 (0.0000 to 0.0005) and PAF was in the range of 0.15 (0.010 to 0.50) to 0.17 (0.001 to 0.47). CONCLUSION After adjusting for measurement bias, confounding, and random error alcohol consumption had a positive causal effect on the incidence of MS.
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Affiliation(s)
- Pooneh Malekifar
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Saharnaz Nedjat
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Ibrahim Abdollahpour
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Science, Isfahan, Iran
| | - Maryam Nazemipour
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Saeed Malekifar
- Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran
| | - Mohammad Ali Mansournia
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
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Davis GE, Davis MJ, Lowell WE. Triggering multiple sclerosis at conception and early gestation: The variation in ultraviolet radiation is as important as its intensity. Heliyon 2023; 9:e16954. [PMID: 37346332 PMCID: PMC10279836 DOI: 10.1016/j.heliyon.2023.e16954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 04/17/2023] [Accepted: 06/01/2023] [Indexed: 06/23/2023] Open
Abstract
Background and objectives Medical science needs to further elucidate the role of ultraviolet radiation (UVR), geographic latitude, and the role of vitamin D in the autoimmune disease multiple sclerosis (MS). We separated several papers into categories out of the thousands published and used their conclusions to explore the relationship between UVR and MS. Relevance MS is increasing in incidence, particularly in women where MS is two to three times that in men and particularly severe in African Americans. Methods We collected UVR data at our observatory in Central Maine and calculated the average coefficient of variation (CVUVR) for each month for 15 years (2007-2021, inclusive). Results The month of conception (MOC) is more important than the month of birth (MOB) in explaining how UVR triggers the variable genetic predisposition to MS. We hypothesize that the rapidly increasing CVUVR is important in preventing an increase in the activity of the vitamin D receptor (VDR) from August to December, which then requires a higher intensity of UVR later in life to suppress the immune system, therefore predisposing to more MS. Limitations One observatory at about 44° latitude. Conclusions While variation in UVR is important at the MOC if UVR exceeds a threshold (e.g., if the sunspot number equals or is greater than 90, usually at a solar cycle MAX, or at elevations above approximately 3,000 feet above sea level), the MS mitigating vitamin D-VDR mechanism is overwhelmed and the genotoxic effects of higher-intensity UVR promote MS in those with a genetic predisposition. What is new in this research This paper offers a new concept in MS research.
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Affiliation(s)
- George E. Davis
- Riverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA
| | - Matthew J. Davis
- Riverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA
| | - Walter E. Lowell
- Riverview Psychiatric Center, 250 Arsenal Street, State House Station #11, Augusta, ME, 04333-0011, USA
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Piovani D, Brunetta E, Bonovas S. UV radiation and air pollution as drivers of major autoimmune conditions. ENVIRONMENTAL RESEARCH 2023; 224:115449. [PMID: 36764434 DOI: 10.1016/j.envres.2023.115449] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 01/18/2023] [Accepted: 02/07/2023] [Indexed: 06/18/2023]
Abstract
Autoimmune diseases comprise a very heterogeneous group of disorders characterized by disruptive immune responses against self-antigens, chronic morbidity and increased mortality. The incidence and prevalence of major autoimmune conditions are particularly high in the western world, at northern latitudes, and in industrialized countries. This study will mainly focus on five major autoimmune conditions, namely type 1 diabetes, multiple sclerosis, inflammatory bowel diseases, rheumatoid arthritis, and autoimmune thyroid disorders. Epidemiological and experimental evidence suggests a protective role of sunlight exposure on the etiology of major autoimmune conditions mediated by the endogenous production of vitamin D and nitric oxide. A historical perspective shows how the rise of anthropogenic air pollutants is temporally associated with dramatic increases in incidence of these conditions. The scattering caused by ambient particulate matter and the presence of tropospheric ozone can reduce the endogenous production of vitamin D and nitric oxide, which are implicated in maintaining the immune homeostasis. Air pollutants have direct detrimental effects on the human body and are deemed responsible of an increasingly higher portion of the annual burden of human morbidity and mortality. Air pollution contributes in systemic inflammation, activates oxidative pathways, induces epigenetic alterations, and modulates the function and phenotype of dendritic cells, Tregs, and T-cells. In this review, we provide epidemiological and mechanistic insights regarding the role of UV-mediated effects in immunity and how anthropic-derived air pollution may affect major autoimmune conditions through direct and indirect mechanisms.
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Affiliation(s)
- Daniele Piovani
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, 20089, Rozzano, Milan, Italy.
| | - Enrico Brunetta
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, 20089, Rozzano, Milan, Italy
| | - Stefanos Bonovas
- Department of Biomedical Sciences, Humanitas University, 20072, Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital, 20089, Rozzano, Milan, Italy
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Baskaran AB, Grebenciucova E, Shoemaker T, Graham EL. Current Updates on the Diagnosis and Management of Multiple Sclerosis for the General Neurologist. J Clin Neurol 2023; 19:217-229. [PMID: 37151139 PMCID: PMC10169923 DOI: 10.3988/jcn.2022.0208] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 11/04/2022] [Accepted: 01/04/2023] [Indexed: 05/09/2023] Open
Abstract
Multiple sclerosis (MS) is an immune-driven disease that affects the central nervous system and is characterized by acute-on-chronic demyelination attacks. It is a major cause of global neurological disability, and its prevalence has increased in the United States. Conceptual understandings of MS have evolved over time, including the identification of B cells as key factors in its pathophysiology. The foundation of MS management involves preventing flares so as to avoid long-term functional decline. Treatments may be categorized into low-, middle-, and high-efficacy medications based on their efficacy in relapse prevention. With 24 FDA-approved treatments for MS, individual therapy is chosen based on distinct mechanisms and potential side effects. This review provides a detailed update on the epidemiology, diagnosis, treatment advances, and major ongoing research investigations in MS.
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Affiliation(s)
| | - Elena Grebenciucova
- Division of Neuroimmunology, Division of Neuroinfectious Diseases, Northwestern University, Chicago, IL, USA
| | | | - Edith L Graham
- Division of Neuroimmunology, Division of Neuroinfectious Diseases, Northwestern University, Chicago, IL, USA.
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Cárdenas-Robledo S, González-Caicedo P, Carvajal-Parra MS, Guío-Sánchez CM, López-Reyes L. No seasonality in the risk of multiple sclerosis in an equatorial country: A case-control ecological study. Mult Scler 2023; 29:343-351. [PMID: 36250508 DOI: 10.1177/13524585221130020] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Multiple sclerosis risk has been shown to have seasonal variations that are more pronounced in higher latitudes. However, this phenomenon has not been adequately studied near the Equator. OBJECTIVE To explore the risk of multiple sclerosis associated with month, season of birth, and sunlight exposure variables in Colombia. METHODS In this case-control study, 668 multiple sclerosis cases were matched to 2672 controls by sex and age. Association of multiple sclerosis with each month/season of birth and sunlight exposure variables was estimated with multilevel mixed-effects logistic regression and ecological regression models, respectively. Seasonality in the births of multiple sclerosis was assessed with a non-parametric seasonality test. RESULTS We found a higher probability of multiple sclerosis in September (0.25; 95% confidence interval (CI) = 0.21-0.31) and lower in March (0.15; 95% CI = 0.10-0.18), which turned non-significant after a multiple comparisons test. Sunlight exposure variables had no significant effect on the risk of MS, and the tests of seasonality in the births of MS did not show significant results. CONCLUSION Our results show no seasonality in the risk of multiple sclerosis near the Equator, supporting the hypothesis that this phenomenon is latitude dependent.
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Affiliation(s)
- Simón Cárdenas-Robledo
- Centro de Esclerosis Múltiple (CEMHUN), Deparatmento de Neurología, Hospital Universitario Nacional de Colombia, Bogotá, Colombia; Unidad de Neurología, Departamento de Medicina Interna, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Paula González-Caicedo
- Instituto de Investigaciones Clínicas, Universidad Nacional de Colombia, Bogotá, Colombia/Hospital Universitario Nacional de Colombia, Bogotá, Colombia
| | | | - Claudia Marcela Guío-Sánchez
- Centro de Esclerosis Múltiple (CEMHUN), Deparatmento de Neurología, Hospital Universitario Nacional de Colombia, Bogotá, Colombia
| | - Lorena López-Reyes
- Centro de Esclerosis Múltiple (CEMHUN), Deparatmento de Neurología, Hospital Universitario Nacional de Colombia, Bogotá, Colombia
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Ostkamp P, Schwab N. Effects of Latitude and Sunlight on Multiple Sclerosis Severity: Two Peas in a Pod? Neurology 2022; 98:997-998. [PMID: 35410911 DOI: 10.1212/wnl.0000000000200105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Patrick Ostkamp
- Department of Neurology with Institute of Translational Neurology, University of Muenster, 48149 Muenster, Germany
| | - Nicholas Schwab
- Department of Neurology with Institute of Translational Neurology, University of Muenster, 48149 Muenster, Germany
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