The Geospatial Distribution of Myositis and Its Phenotypes in the United States and Associations With Roadways: Findings From a National Myositis Patient Registry

Background Little is known about the spatial distribution of idiopathic inflammatory myopathies (IIM) in the United States (U.S.), or their geospatial associations. Methods We studied a national myositis patient registry, with cases diagnosed in the contiguous U.S. from 1985–2011 and comprised of dermatomyositis (DM, n = 484), polymyositis (PM, n = 358), and inclusion body myositis (IBM, n = 318) patients. To assess the association of myositis prevalence with distance from roads, we employed log-Gaussian Cox process models, offset with population density. Results The U.S. IIM case distribution demonstrated a higher concentration in the Northest. DM, IBM, and cases with lung disease were more common in the East, whereas PM cases were more common in the Southeast. One area in the West and one area in the South had a significant excess in cases of DM relative to PM and of cases with lung disease relative to those without lung disease, respectively. IIM cases tended to cluster, with between-points interactions more intense in the Northeast and less in the South. There was a trend of a higher prevalence of IIM and its major phenotypes among people living within 50 m of a roadway relative to living beyond 200 m. Demographic characteristics, rural-urban commuting area, and female percentage were significantly associated with the prevalence of IIM and with major phenotypes. Conclusions Using a large U.S. database to evaluate the spatial distribution of IIM and its phenotypes, this study suggests clustering in some regions of the U.S. and a possible association of proximity to roadways.

[1]  C. Crowson,et al.  Incidence, Prevalence, and Mortality of Dermatomyositis: A Population‐Based Cohort Study , 2021, Arthritis care & research.

[2]  Alka B. Patel,et al.  Geographic Variation in the Prevalence of Rheumatoid Arthritis in Alberta, Canada , 2021, ACR open rheumatology.

[3]  C. Long,et al.  Association of Ultraviolet Radiation Exposure With Dermatomyositis in a National Myositis Patient Registry , 2020, Arthritis care & research.

[4]  Ruixue Leng,et al.  Long-term exposure to outdoor air pollution and the risk of development of rheumatoid arthritis: A systematic review and meta-analysis. , 2019, Seminars in arthritis and rheumatism.

[5]  V. Werth,et al.  Geospatial Correlation of Amyopathic Dermatomyositis With Fixed Sources of Airborne Pollution: A Retrospective Cohort Study , 2019, Front. Med..

[6]  A. Mammen,et al.  The effect of cigarette smoking on the clinical and serological phenotypes of polymyositis and dermatomyositis. , 2018, Seminars in arthritis and rheumatism.

[7]  A. Mammen,et al.  Classification and management of adult inflammatory myopathies , 2018, The Lancet Neurology.

[8]  J. Lamb,et al.  Risk factors and disease mechanisms in myositis , 2018, Nature Reviews Rheumatology.

[9]  F. Miller,et al.  Predictors of Reduced Health‐Related Quality of Life in Adult Patients With Idiopathic Inflammatory Myopathies , 2017, Arthritis care & research.

[10]  David F. R. P. Burslem,et al.  Improving the usability of spatial point process methodology: an interdisciplinary dialogue between statistics and ecology , 2017 .

[11]  M. Barbhaiya,et al.  Understanding the role of environmental factors in the development of systemic lupus erythematosus. , 2017, Best practice & research. Clinical rheumatology.

[12]  A. Nolasco,et al.  Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas. , 2017, Geospatial health.

[13]  Martin L. Hazelton,et al.  Symmetric adaptive smoothing regimens for estimation of the spatial relative risk function , 2016, Comput. Stat. Data Anal..

[14]  J. Sparks,et al.  Genetics, environment, and gene-environment interactions in the development of systemic rheumatic diseases. , 2014, Rheumatic diseases clinics of North America.

[15]  A. Braga,et al.  Risk Factors for Juvenile Dermatomyositis: Exposure to Tobacco and Air Pollutants During Pregnancy , 2014, Arthritis care & research.

[16]  M. Brauer,et al.  Proximity to Traffic, Ambient Air Pollution, and Community Noise in Relation to Incident Rheumatoid Arthritis , 2014, Environmental health perspectives.

[17]  C. Murray,et al.  Cigarette smoking prevalence in US counties: 1996-2012 , 2014, Population Health Metrics.

[18]  E. Karlson,et al.  Regional differences regarding risk of developing rheumatoid arthritis in Stockholm County, Sweden: results from the Swedish Epidemiological Investigation of Rheumatoid Arthritis (EIRA) study , 2013, Scandinavian journal of rheumatology.

[19]  V. Limaye,et al.  Incidence and prevalence of idiopathic inflammatory myopathies in South Australia: a 30‐year epidemiologic study of histology‐proven cases , 2013, International journal of rheumatic diseases.

[20]  J. Norris,et al.  Epidemiology of environmental exposures and human autoimmune diseases: findings from a National Institute of Environmental Health Sciences Expert Panel Workshop. , 2012, Journal of autoimmunity.

[21]  K. smoyer-Tomic,et al.  Incidence and prevalence of idiopathic inflammatory myopathies among commercially insured, Medicare supplemental insured, and Medicaid enrolled populations: an administrative claims analysis , 2012, BMC Musculoskeletal Disorders.

[22]  D. Furst,et al.  Epidemiology of adult idiopathic inflammatory myopathies in a U.S. managed care plan , 2012, Muscle & nerve.

[23]  A. Braga,et al.  Air pollution in autoimmune rheumatic diseases: a review. , 2011, Autoimmunity reviews.

[24]  J. Møller,et al.  A CASE STUDY ON POINT PROCESS MODELLING IN DISEASE MAPPING , 2011 .

[25]  Martin L. Hazelton,et al.  sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R , 2011 .

[26]  M.N.M. van Lieshout,et al.  A J-function for inhomogeneous point processes , 2010, 1008.4504.

[27]  F. Forastiere,et al.  Socioeconomic position and health status of people who live near busy roads: the Rome Longitudinal Study (RoLS) , 2010, Environmental health : a global access science source.

[28]  E. Karlson,et al.  Association between Residences in U.S. Northern Latitudes and Rheumatoid Arthritis: A Spatial Analysis of the Nurses’ Health Study , 2010, Environmental health perspectives.

[29]  P. Tonin,et al.  McArdle disease and sporadic inclusion body myositis , 2009, Neuropathology and Applied Neurobiology.

[30]  C. Weinberg,et al.  Ultraviolet radiation intensity predicts the relative distribution of dermatomyositis and anti-Mi-2 autoantibodies in women. , 2009, Arthritis and rheumatism.

[31]  E. Karlson,et al.  Exposure to Traffic Pollution and Increased Risk of Rheumatoid Arthritis , 2009, Environmental health perspectives.

[32]  Adrian Baddeley,et al.  spatstat: An R Package for Analyzing Spatial Point Patterns , 2005 .

[33]  Frederic Paik Schoenberg,et al.  Testing separability in spatial-temporal marked point processes. , 2004, Biometrics.

[34]  Frederic Paik Schoenberg Testing Separability in Spatial‐Temporal Marked Point Processes , 2004 .

[35]  J. Vencovský,et al.  The relative prevalence of dermatomyositis and polymyositis in Europe exhibits a latitudinal gradient , 2000, Annals of the rheumatic diseases.

[36]  A. Baddeley,et al.  A non-parametric measure of spatial interaction in point patterns , 1996, Advances in Applied Probability.

[37]  D. Stoyan,et al.  Fractals, random shapes and point fields : methods of geometrical statistics , 1996 .

[38]  P. Duray,et al.  Borrelia burgdorferi myositis: report of eight patients , 1993, Journal of Neurology.

[39]  J. Gottenberg,et al.  Incidence and prevalence of inflammatory myopathies: a systematic review. , 2015, Rheumatology.

[40]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[41]  Xujian Li,et al.  Incidence of dermatomyositis and clinically amyopathic dermatomyositis: a population-based study in Olmsted County, Minnesota. , 2010, Archives of dermatology.