Ethnicity and prevalence of multiple sclerosis in east London

Albor, Christo; Sautoy, Timothy du; Vanan, Narmadha Kali; Turner, Benjamin; Boomla, Kambiz; Schmierer, Klaus

doi:10.1177/1352458516638746

Cited by 58 publications

(19 citation statements)

References 30 publications

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“…MS cases were defined as individual records containing both a coded diagnosis of MS and a date of diagnosis . Patients with a diagnosis but no date of diagnosis were excluded as both cases and potential controls.…”

Section: Methodssupporting

confidence: 88%

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Ethnic and Socioeconomic Associations with Multiple Sclerosis Risk

Dobson

Jitlal

Marshall

et al. 2020

Annals of Neurology

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Objective Epidemiological research in multiple sclerosis (MS) has mainly been performed in socioeconomically and ethnically limited populations; influences on MS risk have not been studied in prospectively collected non‐White populations. We set out to study the influence of previously described MS risk factors in an ethnically diverse population. Methods A nested case–control study was created using primary care records of >1 million individuals, >50% of whom identify as Black, Asian, and Minority Ethnic (BAME). MS cases were compared to an age‐ and sex‐matched control cohort (1:4), and to a large unmatched cohort. Odds ratios (ORs) of disease were determined according to exposure of interest, and a multivariate model including all exposures was created. Potential pairwise interactions were considered where both indicated a significant effect. Results A total of 1,344 confirmed MS cases were included. MS OR in blacks aged <40 years was 1.15 (95% confidence interval [CI] = 0.81–1.62) compared to whites. MS odds in BAME current (OR = 1.71, 95% CI = 1.24–2.31) and ex‐smokers (OR = 2.83, 95% CI = 2.14–3.72) were considerably higher than in Whites (OR = 1.09, 95% CI = 0.88–1.34; OR = 1.44, 95% CI = 1.19–1.74, respectively). Prior infectious mononucleosis was associated with increased odds of MS in Blacks (OR = 4.94, 95% CI = 1.23–17.89). An increase in MS odds was seen in the least‐deprived quintile (OR = 2.46, 95% CI = 1.40–4.24), but no effect across deprived quintiles was seen. Interpretation This cohort provides novel data on factors potentially driving MS susceptibility in a diverse population, one‐third of whom live in poverty. Environmental exposures have differential risk across ethnicity. ANN NEUROL 2020;87:599–608

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Section: Methodssupporting

confidence: 88%

“…The increased odds of MS in the young Black population speaks to the importance of performing rigorous epidemiological studies with adequate representation from BAME groups. Worryingly, the recently published global prevalence estimates may be an underestimate when our findings are considered …”

Section: Discussionmentioning

confidence: 99%

Ethnic and Socioeconomic Associations with Multiple Sclerosis Risk

Dobson

Jitlal

Marshall

et al. 2020

Annals of Neurology

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“…It has been reported that Puerto Ricans tend to be affected by vitamin D insufficiency/deficiency despite abundant sunlight [8]. In addition, European ancestry has been shown to increase the likelihood of developing MS [28, 29]. The genetic makeup of Puerto Ricans has a higher African American and European ancestry mixture than that of Mexican Americans [30, 31].…”

Section: Discussionmentioning

confidence: 99%

Increasing Incidence and Prevalence of Multiple Sclerosis in Puerto Rico (2013–2016)

et al. 2017

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Background: The incidence of multiple sclerosis (MS) has been increasing worldwide over the past decades. However, this upward trend has not been examined at the country level in Latin America and the Caribbean (LAC). The aims of this study are to examine trends of MS incidence over 4 years and to provide age- and gender-standardized incidence rate estimates for a Caribbean island. Methods: Data from the Puerto Rico (PR) MS Foundation’s registry was used to identify all newly diagnosed MS cases between 2013 and 2016. MS patients were 18 years and older and met the 2010 revised McDonald criteria. Age- and gender-standardized incidence rates were estimated. Results: A total of 583 new MS cases were diagnosed in PR from 2013 to 2016. The age- and gender-standardized MS incidence rate for PR increased from 6.1/100,000 in 2013 to 6.7/100,000 in 2016. The annual age-standardized MS incidence rates for females rose from 8.4/100,000 in 2013 to 9.8/100,000 in 2016 and were higher than males, which remained around 3.7/100,000. Conclusion: Incidence estimates for PR were higher than other LAC countries but consistent with MS increases in other world regions. Our findings tend to rule out several prior potential environmental explanations for high MS incidence rates.

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“…Demographics data stored in EMR enabled researchers to also study differences in the incidence or prevalence of MS over time, or among different populations based on ethnicity, sex or geographic location. For example, it has been observed that there is a higher incidence of MS in children of African ancestry compared with children of European ancestry, a lower prevalence of MS among populations of African and Asian ancestries compared with a population of European ancestry in London, a similar prevalence of the disease in a district of Spain compared with the prevalence reported in other regions in Spain and a slight increase of MS in recent years in the Netherlands, especially among women . Environmental studies are also possible with EMR data, with one study suggesting that air pollution might have a role in determining MS occurrence and relapses .…”

Section: Use Of Electronic Medical Records In Multiple Sclerosis Resementioning

confidence: 99%

Electronic medical records in multiple sclerosis research

Damotte

Gourraud

2018

Clinical & Exp Neuroim

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With the massive digitalization of many processes involved in human activities, electronic medical records (EMR) are being increasingly deployed in medical centers. EMR have the potential to become a main major real‐life data source for future medical research and evaluation of practice. Multiple sclerosis is a paradigmatic example of a complex disease that can benefit from this new source of information. Today, researchers and clinicians alike have access to tools allowing an en masse identification of multiple sclerosis patients, and extraction of demographics and clinical variables with high accuracy. However no matter how “big” the (EMR) data might be, biases are inherent to EMR data generation. These have to be studied and eventually accounted for in analysis in order to fulfill the promise of personalized medicine for all, and carrying out large clinical and research studies in multiple sclerosis.

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Ethnicity and prevalence of multiple sclerosis in east London

Cited by 58 publications

References 30 publications

Ethnic and Socioeconomic Associations with Multiple Sclerosis Risk

Ethnic and Socioeconomic Associations with Multiple Sclerosis Risk

Increasing Incidence and Prevalence of Multiple Sclerosis in Puerto Rico (2013–2016)

Electronic medical records in multiple sclerosis research

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