Skip to main content

High incidence and increasing prevalence of multiple sclerosis in British Columbia, Canada: findings from over two decades (1991–2010)

Abstract

Province-wide population-based administrative health data from British Columbia (BC), Canada (population: approximately 4.5 million) were used to estimate the incidence and prevalence of multiple sclerosis (MS) and examine potential trends over time. All BC residents meeting validated health administrative case definitions for MS were identified using hospital, physician, death, and health registration files. Estimates of annual prevalence (1991–2008), and incidence (1996–2008; allowing a 5-year disease-free run-in period) were age and sex standardized to the 2001 Canadian population. Changes over time in incidence, prevalence and sex ratios were examined using Poisson and log-binomial regression. The incidence rate was stable [average: 7.8/100,000 (95 % CI 7.6, 8.1)], while the female: male ratio decreased (p = 0.045) but remained at or above 2 for all years (average 2.8:1). From 1991–2008, MS prevalence increased by 4.7 % on average per year (p < 0.001) from 78.8/100,000 (95 % CI 75.7, 82.0) to 179.9/100,000 (95 % CI 176.0, 183.8), the sex prevalence ratio increased from 2.27 to 2.78 (p < 0.001) and the peak prevalence age range increased from 45–49 to 55–59 years. MS incidence and prevalence in BC are among the highest in the world. Neither the incidence nor the incidence sex ratio increased over time. However, the prevalence and prevalence sex ratio increased significantly during the 18-year period, which may be explained by the increased peak prevalence age of MS, longer survival with MS and the greater life expectancy of women compared to men.

Background

Multiple sclerosis (MS), a chronic, debilitating disease of the central nervous system, is the leading cause of non-traumatic disability in young adults [1]. It is estimated that more than two million people live with this disease worldwide [1], although the incidence and prevalence vary geographically [24]. Furthermore, reports of recent increases in the incidence and prevalence, and in the ratio of women to men with MS, have been inconsistent across regions [57].

The need for current and reliable estimates of MS incidence and prevalence has been highlighted as a public health and research priority, essential to support the planning and prioritization of health care services and to reduce the overall burden of chronic disease [1, 8, 9].

Valid and reliable methods are required when estimating incidence and prevalence so that regional estimates can be compared. Validated case definitions that use population-based administrative data offer this opportunity where such data are available. Canada has a universal publicly funded health care system and, in its western-most province British Columbia (BC), health claims data for the entire population are captured. No estimates of the prevalence of MS in BC using population-based linked health administrative data have been reported, and the incidence of MS in BC has not been previously estimated by any method.

We aimed to estimate the incidence and prevalence of MS in BC, Canada using previously validated case definitions of MS [10, 11] based on health administrative data. Also, we described the demographics of the incident and prevalent cases and temporal changes in their characteristics including the sex ratio.

Methods

British Columbia is situated on the west coast of Canada. Its population of 4.5 million people represents 13 % of the Canadian population. The publicly funded provincial health care programme is compulsory for residents; a lifelong unique personal health care number is assigned and is linked through provincial administrative databases to all hospital admissions, physician visits, prescription dispensations, births, deaths, and health care plan registration and cancellation dates.

Anonymized linked BC health administrative data files used in this study included the Hospital Admission and Discharge database (hospital admission dates and diagnosis codes) [12], and the Medical Services Plan Billing (physician visits and billing diagnosis codes) [13], These databases store data on physician billing or medical services claims (‘claims’) that have been submitted for payment, including the type of service provided, when and to whom the service was provided, and the diagnoses related to the physician visit or hospital admission (coded via International Classification of Disease (ICD-9 or ICD-10-CA)). PharmaNet (dispensed prescriptions coded by Health Canada’s Drug Identification Numbers) [14], and Vital Statistics (death dates) [15] were also accessed. Registration Premium and Billing files [16] provided demographic data: registration dates in the provincial health care plan confirmed residency in BC; socioeconomic status (SES) was expressed as quintiles of average neighbourhood income based on regional income levels (prepared by Statistics Canada using postal codes [17]).

We utilized a previously linked data platform which included all residents of BC with ≥3 MS-related claims. Linked data were available from 1986, apart from ICD codes from physician visits which were available starting in 1991. Prescription data were accessed for descriptive purposes only, and were available starting in 1996. Follow-up continued to the end of 2010 for the majority of those in the dataset, with the remainder followed to the end of 2008.

MS cases were identified using administrative case definitions, which have previously been validated in two Canadian provinces (Manitoba and Nova Scotia) [10, 11], and are based on hospital and physician-derived diagnostic codes. The primary case definition used was ≥7 hospital or physician claims specifically for MS for people who were resident in BC for >3 years following their first demyelinating disease (‘MS-related’) claim (i.e. a claim for MS, optic neuritis, acute transverse myelitis, acute disseminated encephalomyelitis, demyelinating disease of the CNS unspecified, other acute disseminated demyelination, or neuromyelitis optica), and ≥3 MS claims for those with ≤3 years of residency. When validated against the clinical MS definition, this algorithm was found to provide the best balance of sensitivity and specificity compared to a series of alternative administrative case definitions. For the validation population (Nova Scotia, Canada), all of whom had at least one claim for a demyelinating disease, this definition had a sensitivity of 88 % and specificity of 68 %; the specificity would, however, be substantially higher in the general population given that >99.9 % of individuals have no demyelinating claims [11, 18]. A second case definition was also used which required ≥3 MS claims irrespective of the cumulative residency in BC, for which previous validation has demonstrated greater sensitivity (95 %) but less specificity (48 %) among those with at least one demyelinating claim [11].

Point prevalence was estimated annually on July 1st, from 1991 to 2008, and incidence estimates were generated from 1996 to 2008, with inclusion of claims up to 2010. Both incidence and prevalence were calculated per 100,000 people using the BC mid-year population and were age and sex standardized to the 2001 Canadian population, for consistency to prior Canadian work [10, 11, 19]. The 95 % confidence intervals (CI) were calculated based on the Gamma distribution [20]. Incidence estimates began in 1996 because at least 5 years residency with no MS-related claim was required to meet the incident case definition. Once this definition was met, the date of the first MS-related claim was considered the incidence date of MS diagnosis. Individuals who immigrated to the province after the study start were followed from the date of their first registration in the universal BC health care plan; as with cases that were resident from study start, a 5-year residency with no MS-related claim was required to be counted as an incident case.

Description of the incident cases included sex, age, SES, time to meet the case definition, and dispensation of a MS disease-modifying drug (DMD) within 3 years of the incident claim. This time window was chosen because the diagnosis date falls within 3 years of the incident claim for approximately 75 % of MS cases [10]. Cases that were prevalent on July 1st 2008 were described by sex and age, SES and history of a DMD prescription (including beta interferon-1a, beta interferon-1b, glatiramer acetate and natalizumab). The distribution of cases across the SES quintiles was compared to the expected (even) distribution.

Changes in the incidence rate and prevalence over the observation period were investigated using Poisson (with the BC population included as an offset) and log-binomial regression, respectively. The models included an interaction term between year and sex. Potential differences in the distribution over socioeconomic quintiles were assessed using a Chi-Squared test of homogeneity.

Follow-up data for the years 2009 and 2010 were unavailable for some individuals who were alive and resident in BC at the end of 2008 but had not yet met the MS case definition. To assess the potential impact of this missing 2 years of follow-up data on the findings, the numbers of potentially missed incident and prevalent cases were calculated by assuming every individual with missing follow-up data would have met the case definition and the estimates and comparisons were repeated.

Statistical analyses were performed using R: A Language and Environment for Statistical Computing v.2.15 (R Foundation for Statistical Computing, Vienna, Austria; 2012).

This study was approved by the University of British Columbia’s Clinical Research Ethics Board (approval # H10-01361). BC Ministry of Health, BC Vital Statistics Agency and BC PharmaNet approved access to administrative health data.

Results

Between 1996 and 2008, 4,222 BC residents met the incident case definition of ≥7 MS claims (or ≥3 MS claims for those with ≤3 years of residency in BC) and at least 5 years of residency before their first MS-related claim. The standardized annual incidence rate was 7.8 (95 % CI 7.6, 8.1) per 100,000 people; 11.5 (95 % CI 11.1, 11.9) for women and 4.1 (95 % CI 3.8, 4.3) for men. The more sensitive case definition of ≥3 MS claims identified 5876 incident cases for a standardized annual incidence estimate of 10.9 (95 % CI 10.6, 11.2) per 100,000.

Characteristics of the incident cases are summarized in Table 1; the sex, age and SES distributions were similar regardless of the case definition used. Women made up approximately three quarters of the incident cases. The overall mean age at the first MS-related claim was lower for women (44 years) than for men (46 years) (p < 0.001). The distribution of cases across the SES quintiles differed at the time of the incident claim, with more cases in the middle and higher SES quintiles, but the absolute differences were small. Among all incident cases (using the primary definition), 27 % filled a prescription for a DMD within 3 years of their incident claim; this proportion increased between 1996 and 2000 from 10 to 32 %; the proportion with prescriptions within 3 years then remained stable at 31–33 % from 2000 to 2007 (the last calendar year with 3 years of follow-up).

Table 1 Characteristics of the incident (1996–2008) and prevalent (2008) multiple sclerosis cases in British Columbia, Canada

The median number of years between the first MS-related claim and fulfilling criterion for the primary case definition was 1.3 years overall; 1.2 years for women and 1.0 years for men. As the follow-up time decreased over the observation period, the median time to reach criterion naturally decreased; the longest was 2.1 years (interquartile range: 0.8, 5.3) in 1996 when up to 15 years of follow-up data were available. Using the more sensitive case definition, 75 % of cases reached criterion in 1.8 years (median 0.4 years) when up to 15 years of data were available.

Although there were small fluctuations in the annual incidence rate (Fig. 1a, b), there was no evidence of an increase in incidence between 1996 and 2008 regardless of the case definition used. The average female to male incidence ratio across all years was 2.8 (95 % CI 2.6, 3.0). This ratio varied by calendar year; the interaction between sex and year was statistically significant (p = 0.045) with a small decrease in the incidence rate in women, while the rate remained stable in men (Table 2).

Fig. 1
figure 1

Age-standardized annual incidence rates (1996–2008) of multiple sclerosis cases identified by the primary case definition (a) and the more sensitive but less specific case definition (b) in British Columbia, Canada. Note: The apparent increased incidence in the final year observed in a is a result of the case criterion; all potential incident cases for that year had ≤3 years of follow-up available to study end and therefore required only 3 claims to meet case definition

Table 2 Number of incident cases and incidence rate of multiple sclerosis per 100,000 population per year (1996–2008) in British Columbia, Canada by sex and calendar year

On July 1st 2008, there were 8546 people with MS living in BC and the standardized prevalence per 100,000 people was 179.9 (95 % CI 176.0, 183.8). The prevalence estimates for each year by sex and the sex ratio for 1991–2008 are shown in Table 3. With the more sensitive case definition, the standardized prevalence on July 1st 2008 was 235.8 (95 % CI 231.4, 240.3), and an estimated 11,184 cases were living in BC on the point prevalence date.

Table 3 Number of prevalent cases and prevalence of multiple sclerosis per 100,000 population on July 1st (1991–2008) in British Columbia, Canada by sex and calendar year

The average age of the 8546 prevalent cases was 52 years and 74 % were women. As observed for the incident cases, a comparison across the SES groups revealed an uneven distribution of prevalent MS cases with more prevalent MS cases in the higher quintiles of SES than in the lower quintiles, but small absolute differences. Sex, age and SES distributions were similar for the prevalent cases identified by the alternative administrative case definitions (Table 1). At least 29 % of the prevalent cases had received a prescription for a DMD at some point during their follow-up (or 22 % of cases identified by the more sensitive definition).

The prevalence of MS increased over the 18-year observation period by an average of 4.7 % per year (p < 0.001), and the sex prevalence ratio increased from 2.27 in 1991 to 2.78 in 2008 (p < 0.001) (Fig. 2a, b). Overall, the peak age of prevalent MS cases increased over time from 45–49 years in the early 1990s to 55–59 years in 2008 (Fig. 3).

Fig. 2
figure 2

Age-standardized prevalence (1991–2008) of multiple sclerosis cases identified by the primary case definition (a) and the more sensitive but less specific case definition (b) in British Columbia, Canada

Fig. 3
figure 3

Age-specific prevalence of multiple sclerosis identified by the primary case definition per 100,000 population by select years (1992, 1996, 2000, 2004 and 2008) in British Columbia, Canada

Among those with missing follow-up information for 2009–2010, there were 254 individuals with ≥1 demyelinating claim by the end of 2008 that had not yet met the primary case definition and 74 who had not yet met the more sensitive definition. These extra cases could potentially have increased the MS prevalence estimate for 2008, had complete follow-up data to 2010 been available. The maximum potential impact is an underestimate of the 2008 prevalence by up to 5.3/100,000 (or 1.6/100,000 using the ≥3 claim definition). The average annual 1996–2008 incidence may have been underestimated by up to 0.2 cases per 100,000, while the estimated incidence using the alternative case definition would not have been affected. When all of these potential cases were assumed to have met definition and included in the estimates and comparisons, all findings related to changes over time and characteristics of the incident and prevalent cases remained the same.

Discussion

The prevalence of MS in BC, Canada has risen steadily and substantially, from 78.8/100,000 in 1991 to 179.9/100,000 in 2008. The incidence rate in BC remained stable over the study period, averaging 7.8 per 100,000 new cases of MS per year between 1996 and 2008, which is high relative to other parts of the world [14]. The prevalence sex ratio increased over time; however, the incidence sex ratio, which averaged 2.8:1, did not increase.

Methodological differences make direct comparisons with earlier studies of MS prevalence in BC difficult. Other than a study based on self-reported MS [21], the last province-wide estimate of MS prevalence, which used clinically confirmed definitions, was 93.3/100,000 in 1982 [22]. Our estimates for 1991 (78.8/100,000) and 1992 (101.1/100,000) are compatible with this estimate from 10 years earlier. There are no previous estimates of MS incidence in BC with which to compare our observations. However, using the same validated administrative MS case definitions age standardized to the same population, a similar annual incidence rate was recently found in central Canada [10] (11.4/100,000 in Manitoba using the more sensitive case definition). While a somewhat higher annual incidence was found in eastern Canada [11] (9.8/100,000 in Nova Scotia using our primary case definition), the 95 % confidence intervals overlapped with those in our study. BC, Manitoba and Nova Scotia are home to approximately 19 % of the Canadian population; extrapolating the combined estimate from these provinces (weighted by their relative population) to Canada, which had a population of 35.5 million in 2014, would mean that approximately 3000 new MS cases are diagnosed each year, or 8 new cases per day. Furthermore, extrapolating the combined prevalence estimate (200/100,000) from the three provinces would mean that approximately 71,000 people are living with MS in Canada.

Our observations that the prevalence of MS has been increasing by approximately 4.7 % per year in BC, and that the age of the prevalent population has risen have important implications for broader society, including governments and health care planners. We also found a gradual increase in the proportion of women to men living with MS; this is compatible with recent observations from elsewhere in Canada [10, 11] and the UK [23], and is likely due to the changing demographics (older mean age) of the general population and the greater life expectancy of women compared to men.

The rising prevalence in BC cannot be explained by increasing numbers of new MS cases; our incidence rates remained relatively stable over the 13-year period despite changes in MS diagnostic criteria [24] and increasing availability of disease-modifying drugs. While this seems in contrast to some other regions of the world where recent increases in incidence rates have been reported [5], a stable incidence rate has also been found over a similar time period in other Canadian provinces [10, 11, 19, 25, 26] and the UK [23]. Taken together with our findings, this suggests that the incidence of MS has stabilised in some areas over recent years. In the absence of increasing incidence, the rising prevalence may reflect longer disease duration due to earlier diagnosis, improved survival with MS or both. Survival has improved for both the BC general population and for people with MS in BC over the past 30 years [27]. Similarly, improved survival has been found in other MS populations, including those from Denmark [28] and Norway [29]. Immigration of prevalent cases can also influence prevalence trends and the population of British Columbia increased by nearly 30 % between 1991 and 2008, mostly due to immigration from other Canadian provinces and other countries. The prevalence estimates include MS cases that were resident throughout, as well as those that immigrated to BC, during the observation period. Newly immigrant prevalent cases would have contributed to the increasing prevalence over time if there was a greater proportion of MS cases among those immigrating to BC.

The average age at the time of the incident MS-related claim was 44 years. This age is comparable to that recorded in other Canadian provinces [10, 11] and was found to be within 3 years of the MS diagnosis date from medical charts or by personal report for 74 and 76 % of cases, respectively [10]. It is also equivalent to that identified as the first date of diagnosis in the General Practice Research Database for cases of MS in the UK [23]. While the date of diagnosis, or of first medical recognition, is frequently used to measure MS incidence [24], symptom onset can often occur several years before the disease is first recognized or diagnosed.

Notably, while others have reported increases in the incidence ratio of women to men with MS [6], we found no evidence of such a trend in BC. Rather, we observed a decrease in this ratio over time, although the absolute differences were small. Nonetheless, the more consistently observed sex differences for MS were evident; nearly three quarters of incident cases in BC were women and men were approximately 3 years older than women at the time of the first MS-related claim reflecting typical differences in onset age between sexes.

We observed a small difference in the distribution of cases across the socioeconomic quintiles, with a greater proportion of both incident and prevalent cases in the upper quintiles and fewer in the lower. Similar observations have been made in the past [3034], although others have reported either no relationship or a negative association with SES [35].

Approximately, one-third of incident or prevalent MS cases filled a prescription for a DMD during the study period, stabilizing from the year 2000 onwards. This proportion may seem low, particularly when compared to a previous estimate (73–85 %) derived from a volunteer sample of patients recruited from Canadian MS treatment centres [36]. However, our proportion was derived from population-based rather than clinic-based data, the first DMD (interferon beta-1b) was only approved for use in Canada in 1995, and not all individuals with MS would have been eligible for treatment (including those unable to walk, those without relapses and those with a primary progressive disease course). Thus, it is likely that our data provide a realistic representation of DMD use in the British Columbian MS population over the study period.

The strengths of our study include the use of administrative health data, which represents the entire BC population, and spans nearly two decades allowing us to assess temporal trends. Furthermore, we used two previously validated MS case definitions to generate these estimates [10, 11]. The primary definition was identified as the best in terms of balance between specificity and sensitivity among candidate validated MS case definitions [11]. The secondary definition generated higher estimates due to its greater sensitivity, but may have included a greater proportion of false positives. Estimates generated by the primary definition could be more useful when it is important to minimize the risk of including people without MS, whereas the estimates from the more sensitive definition are likely more useful for estimating burden of disease and for health care planning. Although these MS case definitions were not validated specifically using the BC administrative data, the algorithms have been validated in Nova Scotia and Manitoba [10, 11]. Furthermore, similar 7-claim administrative case definitions of MS derived from administrative data in Ontario, Canada were validated in a primary care dataset in that province and found to have excellent performance [18]. The structure of the Canadian public health care system and the methods for coding physician and hospital visits in administrative health data are consistent between these three provinces and BC, which suggests that the case definitions would perform well and can be reliably applied in BC. The BC administrative health databases have been used, both independently and combined with equivalent data from other Canadian provinces, to identify and study other chronic diseases such as diabetes and hypertension [3739].

Health administrative data have limitations. Although we allowed a five-year claim-free run-in period to capture incident cases, it remains possible that prevalent benign MS cases that rarely interacted with the medical system were misclassified as incident. Ascertainment is a common problem with MS incidence studies due to the inevitable time-lag between symptom onset and recognition of the disease; the estimated incidence may be affected by incomplete ascertainment towards the end of follow-up. Similarly, the prevalence estimates for the earliest years (1991 and 1992) should be treated cautiously; atypical prevalent cases with infrequent contact with the medical system could have been missed in these years. On the other hand, although we had missing follow-up data for up to 254 potential MS cases and could not confirm that they met criteria with follow-up to 2010, the estimates were not notably impacted.

We were unable to consider ethnicity, or country of origin. Although most BC residents are of European ancestry, BC has a higher proportion of residents of non-European origin than other Canadian provinces. The proportion with European ancestry has declined over time, from 82 % of the BC population in 1996 [40] to 75 % in 2006 [41]; people of Asian ancestry represent the largest minority group. The somewhat lower MS incidence rate in BC compared to that in Eastern Canada [11] might be explained by differences in the ethnic composition of the source populations [41].

In summary, BC has a high incidence of MS which has remained stable for more than a decade. However, as elsewhere in Canada, the prevalence and the peak age of the MS population have increased significantly. Population-based administrative health databases and validated case definitions of MS using health claims data provide a reliable, accessible and cost effective means of monitoring the incidence and prevalence of MS.

References

  1. Multiple Sclerosis International Federation (2013) Atlas of MS. http://www.msif.org/wp-content/uploads/2014/09/Atlas-of-MS.pdf. Accessed 8 December 2014

  2. Evans C, Beland SG, Kulaga S, Wolfson C, Kingwell E, Marriott J et al (2013) Incidence and prevalence of multiple sclerosis in the Americas: a systematic review. Neuroepidemiology 40(3):195–210

    Article  PubMed  Google Scholar 

  3. Kingwell E, Marriott JJ, Jette N, Pringsheim T, Makhani N, Morrow SA et al (2013) Incidence and prevalence of multiple sclerosis in Europe: a systematic review. BMC Neurol 13(1):128

    PubMed Central  Article  PubMed  Google Scholar 

  4. Makhani N, Morrow SA, Fisk JD, Evans C, Beland SG, Kulaga S et al (2014) MS incidence and prevalence in Africa, Asia, Australia and New Zealand: a systematic review. Mult Scler Relat Disord 3:48–60

    CAS  Article  PubMed  Google Scholar 

  5. Alonso A, Hernan MA (2008) Temporal trends in the incidence of multiple sclerosis: a systematic review. Neurology 71(2):129–135

    PubMed Central  Article  PubMed  Google Scholar 

  6. Koch-Henriksen N, Sorensen PS (2010) The changing demographic pattern of multiple sclerosis epidemiology. Lancet Neurol 9(5):520–532

    Article  PubMed  Google Scholar 

  7. Trojano M, Lucchese G, Graziano G, Taylor BV, Simpson S Jr, Lepore V et al (2012) Geographical variations in sex ratio trends over time in multiple sclerosis. PLoS One 7(10):e48078

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  8. Public Health Agency of Canada (2014) Preventing Chronic Disease Strategic Plan 2013-2016. http://www.phac-aspc.gc.ca/cd-mc/diabetes-diabete/strategy_plan-plan_strategique-eng.php. Accessed 29 September 2014

  9. The National MS Society (2014) MS Prevalence. http://www.nationalmssociety.org/About-the-Society/MS-Prevalence. Accessed 29 September 2014

  10. Marrie RA, Yu N, Blanchard J, Leung S, Elliott L (2010) The rising prevalence and changing age distribution of multiple sclerosis in Manitoba. Neurology 74(6):465–471

    CAS  Article  PubMed  Google Scholar 

  11. Marrie RA, Fisk JD, Stadnyk KJ, Yu BN, Tremlett H, Wolfson C et al (2013) The incidence and prevalence of multiple sclerosis in nova scotia, Canada. Can J Neurol Sci 40(6):824–831

    Article  PubMed  Google Scholar 

  12. British Columbia Ministry of Health [creator] (2012) Discharge Abstract Database (Hospital Separations). Population Data BC [publisher]. Data Extract. MOH (2012). http://www.popdata.bc.ca/data

  13. British Columbia Ministry of Health [creator] (2012) Medical Services Plan (MSP) Payment Information File Population Data BC [publisher]. Data Extract. MOH (2012). http://www.popdata.bc.ca/data

  14. British Columbia Ministry of Health [creator] (2012). PharmaNet: BC Ministry of Health [publisher]; 2012. Data Extract MOH (2012). http://www.popdata.bc.ca/data

  15. BC Vital Statistics Agency [creator] (2012). Vital Statistics Deaths: Population Data BC [publisher]. Data Extract. MOH (2012). http://www.popdata.bc.ca/data

  16. British Columbia Ministry of Health [creator] (2012) Consolidation File (MSP Registration & Premium Billing). Population Data BC [publisher]. Data Extract. MOH (2012). http://www.popdata.bc.ca/data

  17. Statistics Canada (2014) Annual Income Estimates for Census Families and Individuals (T1 Family File). http://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&SDDS=4105&lang=en&db=IMDB&dbg=f&adm=8&dis=2. Accessed 11 August 2014

  18. Widdifield J, Ivers NM, Young J, Green D, Jaakkimainen L, Butt DA et al (2014) Development and validation of an administrative data algorithm to estimate the disease burden and epidemiology of multiple sclerosis in Ontario, Canada. Mult Scler. doi:10.1177/1352458514556303

  19. Hader WJ, Yee IM (2007) Incidence and prevalence of multiple sclerosis in Saskatoon, Saskatchewan. Neurology 69(12):1224–1229

    Article  PubMed  Google Scholar 

  20. Fay MP, Feuer EJ (1997) Confidence intervals for directly standardized rates: a method based on the gamma distribution. Stat Med 16(7):791–801

    CAS  Article  PubMed  Google Scholar 

  21. Beck CA, Metz LM, Svenson LW, Patten SB (2005) Regional variation of multiple sclerosis prevalence in Canada. Mult Scler. 11(5):516–519

    Article  PubMed  Google Scholar 

  22. Sweeney VP, Sadovnick AD, Brandejs V (1986) Prevalence of multiple sclerosis in British Columbia. Can J Neurol Sci 13(1):47–51

    CAS  PubMed  Google Scholar 

  23. Mackenzie IS, Morant SV, Bloomfield GA, MacDonald TM, O’Riordan J (2014) Incidence and prevalence of multiple sclerosis in the UK 1990–2010: a descriptive study in the General Practice Research Database. J Neurol Neurosurg Psychiatry 85(1):76–84

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  24. McDonald WI, Compston A, Edan G, Goodkin D, Hartung HP, Lublin FD et al (2001) Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis. Ann Neurol. 50(1):121–127

    CAS  Article  PubMed  Google Scholar 

  25. Warren SA, Svenson LW, Warren KG (2008) Contribution of incidence to increasing prevalence of multiple sclerosis in Alberta. Canada. Mult Scler 14(7):872–879

    CAS  Article  PubMed  Google Scholar 

  26. Sloka JS, Pryse-Phillips WE, Stefanelli M (2005) Incidence and prevalence of multiple sclerosis in Newfoundland and Labrador. Can J Neurol Sci 32(1):37–42

    CAS  Article  PubMed  Google Scholar 

  27. Kingwell E, van der Kop M, Zhao Y, Shirani A, Zhu F, Oger J et al (2012) Relative mortality and survival in multiple sclerosis: findings from British Columbia, Canada. J Neurol Neurosurg Psychiatry 83(1):61–66

    CAS  Article  PubMed  Google Scholar 

  28. Bronnum-Hansen H, Koch-Henriksen N, Stenager E (2004) Trends in survival and cause of death in Danish patients with multiple sclerosis. Brain 127(Pt 4):844–850

    Article  PubMed  Google Scholar 

  29. Grytten Torkildsen N, Lie S, Aarseth J, Nyland H, Myhr K (2008) Survival and cause of death in multiple sclerosis: results from a 50-year follow-up in Western Norway. Mult Scler 14(9):1191–1198

    CAS  Article  PubMed  Google Scholar 

  30. Lowis GW (1990) The social epidemiology of multiple sclerosis. Sci Total Environ 90:163–190

    CAS  Article  PubMed  Google Scholar 

  31. Kurtzke JF, Page WF (1997) Epidemiology of multiple sclerosis in US veterans: VII. Risk factors for MS. Neurology 48(1):204–213

    CAS  Article  PubMed  Google Scholar 

  32. Zilber N, Kahana E (1996) Risk factors for multiple sclerosis: a case-control study in Israel. Acta Neurol Scand 94(6):395–403

    CAS  Article  PubMed  Google Scholar 

  33. Hammond SR, McLeod JG, Macaskill P, English DR (1996) Multiple sclerosis in Australia: socioeconomic factors. J Neurol Neurosurg Psychiatry 61(3):311–313

    PubMed Central  CAS  Article  PubMed  Google Scholar 

  34. Green C, Yu BN, Marrie RA (2013) Exploring the implications of small-area variation in the incidence of multiple sclerosis. Am J Epidemiol 178(7):1059–1066

    Article  PubMed  Google Scholar 

  35. Goulden R, Ibrahim T, Wolfson C (2015) Is high socioeconomic status a risk factor for multiple sclerosis? A systematic review. Eur J Neurol 22(6):899–911

    CAS  Article  PubMed  Google Scholar 

  36. Karampampa K, Gustavsson A, Miltenburger C, Kindundu CM, Selchen DH (2012) Treatment experience, burden, and unmet needs (TRIBUNE) in multiple sclerosis: the costs and utilities of MS patients in Canada. J Popul Ther Clin Pharmacol 19(1):e11–e25

    PubMed  Google Scholar 

  37. Amed S, Vanderloo SE, Metzger D, Collet JP, Reimer K, McCrea P et al (2011) Validation of diabetes case definitions using administrative claims data. Diabet Med 28(4):424–427

    CAS  Article  PubMed  Google Scholar 

  38. Quan H, Khan N, Hemmelgarn BR, Tu K, Chen G, Campbell N et al (2009) Validation of a case definition to define hypertension using administrative data. Hypertension 54(6):1423–1428

    CAS  Article  PubMed  Google Scholar 

  39. Government of Canada (2015) Canadian Chronic Disease Surveillance System 1999/2000-2010/2011 Ottawa 2014. http://data.gc.ca/data/en/dataset/9525c8c0-554a-461b-a763-f1657acb9c9d. Accessed 23 June 2015

  40. Statistics Canada (1996) Census: Ethnic origin, visible minorities. Ottawa 1998. http://www.statcan.gc.ca/daily-quotidien/980217/dq980217-eng.htm. Accessed 9 December 2014

  41. Statistics Canada (2006) Canada’s Ethnocultural Mosaic, 2006 Census: Provinces and territories. Ottawa. http://www12.statcan.ca/census-recensement/2006/as-sa/97-562/index-eng.cfm?CFID=124733&CFTOKEN=71329601. Accessed 9 December 2014

Download references

Acknowledgments

This study was supported by the Canadian Institutes of Health Research (CIBG 101829); the Rx&D Health Research Foundation; and a Don Paty Career Development Award from the MS Society of Canada (to RAM). We thank the BC Ministry of Health, BC Vital Statistics Agency and BC PharmaNet for approval and support with accessing provincial data; and Population Data BC for facilitating approval and use of the data.

CIHR Team in the Epidemiology and Impact of Comorbidity on Multiple Sclerosis

Ruth Ann Marrie, MD, Ph.D., FRCPC (University of Manitoba, Principal Investigator); John D. Fisk, Ph.D. (Dalhousie University, Co-principal Investigator and Site Investigator); Sharon Warren, Ph.D. (University of Alberta, Co-principal Investigator and Site Investigator); Christina Wolfson, Ph.D. (McGill University, Co-principal Investigator and Site Investigator); Helen Tremlett, Ph.D. (University of British Columbia, Co-principal Investigator and Site Investigator); James Blanchard, MD, MPH, Ph.D. (University of Manitoba, Co-investigator); Lawrence Elliott, MD, M.Sc. (University of Manitoba, Co-investigator); Bo Nancy Yu, MD, Ph.D. (University of Manitoba, Co-investigator); Virender Bhan, MBBS, FRCPC (Dalhousie University, Co-investigator); Joanne Profetto-McGrath, Ph.D., RN (University of Alberta, Co-investigator); Scott Patten, MD, Ph.D. (University of Calgary, Co-investigator); Lawrence W. Svenson, B.Sc. (University of Alberta, Collaborator); Patricia Caetano, Ph.D. (University of Manitoba, Collaborator); Nathalie Jette, MD, M.Sc., FRCPC (University of Calgary, Site Investigator).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Elaine Kingwell.

Ethics declarations

Conflicts of interest

Dr. Kingwell, Mr. Zhu, Dr. Profetto-McGrath and Mr. Svenson report no disclosures.

Dr. Marrie receives research funding from: Canadian Institutes of Health Research, Public Health Agency of Canada, Manitoba Health Research Council, Health Sciences Centre Foundation, Multiple Sclerosis Society of Canada, Multiple Sclerosis Scientific Foundation, Rx&D Health Research Foundation, and has conducted clinical trials funded by sanofi-aventis.

Dr. Fisk receives research funding from: Canadian Institutes of Health Research, Multiple Sclerosis Society of Canada and the National MS Society (USA).

Dr. Wolfson receives funding from: Canadian Institutes of Health Research, Canada Foundation for Innovation, Multiple Sclerosis Society of Canada, National Multiple Sclerosis Society, Research Institute of the McGill University Health Centre.

Dr. Warren receives funding from Canadian Institutes of Health Research and Fort Assiniboine Equine Endeavour Foundation.

Dr. Jette is the holder of a Canada Research Chair in Neurological Health Sciences and an Alberta Innovates Health Solutions (AI-HS) Population Health Investigator Award. She receives research funding from the Canadian Institutes of Health Research, AI-HS, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Alberta Health Services and Alberta Health.

Dr. Bhan has received honoraria and consulting fees from Biogen Idec, EMD Serono, Genzyme, Novartis, Roche and Teva Neurosciences.

Dr. Yu receives research funding from: Health Science Centre Foundation, Canadian Institutes of Health Research, Gilead Sciences, Canadian International Development Agency, Multiple Sclerosis Society of Canada, and National Multiple Sclerosis Society.

Dr. Elliott receives research funding from the Canadian Institutes of Health Research and the Multiple Sclerosis Society of Canada.

Dr. Tremlett is funded by the Multiple Sclerosis Society of Canada (Don Paty Career Development Award); is a Michael Smith Foundation for Health Research Scholar and the Canada Research Chair for Neuroepidemiology and Multiple Sclerosis. She has received: research support from the National Multiple Sclerosis Society, the Canadian Institutes of Health Research, and the UK MS Trust; speaker honoraria and/or travel expenses to attend conferences from the Consortium of MS Centres (2013), the National MS Society (2012, 2014), Bayer Pharmaceuticals (2010), Teva Pharmaceuticals (2011), ECTRIMS (2011, 2012, 2013, 2014), UK MS Trust (2011), the Chesapeake Health Education Program, US Veterans Affairs (2012), Novartis Canada (2012), Biogen Idec (2014), American Academy of Neurologists (2013, 2014). Unless otherwise stated, all speaker honoraria are either donated to an MS charity or to an unrestricted grant for use by her research group.

On behalf of all coauthors, the corresponding author states that there is no conflict of interest specific to this study.

Additional information

For the CIHR Team in the Epidemiology and Impact of Comorbidity on MS. Members in this team is listed in acknowledgments.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Kingwell, E., Zhu, F., Marrie, R.A. et al. High incidence and increasing prevalence of multiple sclerosis in British Columbia, Canada: findings from over two decades (1991–2010). J Neurol 262, 2352–2363 (2015). https://doi.org/10.1007/s00415-015-7842-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00415-015-7842-0

Keywords

  • Multiple sclerosis
  • Incidence
  • Prevalence
  • Epidemiology
  • Sex ratio
  • Administrative health data