Data on the prevalence of multiple sclerosis (MS) in France are scarce. National and regional updated estimates are needed to better plan health policies. In this nationwide study, we provided estimates of the prevalence of MS in France in 2012 and mortality rate in 2013. MS cases were identified in the French national health insurance database (SNIIRAM-PMSI) using reimbursement data for disease-modifying treatment, long-term disease status for MS, disability pension for MS, and hospitalisation for MS (MS ICD-10 code: G35). We identified 99,123 MS cases, corresponding to an overall crude prevalence rate of 151.2 per 100,000 inhabitants [95% confidence interval (CI) 150.3–152.2]: 210.0 per 100,000 in women (95% CI 208.4–211.5) and 88.7 per 100,000 in men (95% CI 87.6–89.7). The overall prevalence rate was 155.6 per 100,000 inhabitants (95% CI 154.7–156.6) after standardization on the 2013-European population. We observed a prevalence gradient with a higher prevalence (190–200 per 100,000) in North-Eastern France and a lower prevalence in Southern and Western France (126–140). The crude mortality rate in 2013 was 13.7 per 1,000 MS cases (11.4 in women and 20.3 in men). The standardized mortality ratio was 2.56 (95% CI 2.41–2.72). Our results revise upwards the estimation of MS prevalence in France and confirm the excess mortality of MS patients compared to the general population.
Multiple sclerosis (MS) is a debilitating neurological disease responsible for progressive accumulation of cognitive and neurological impairment, and the corresponding increasing health care and costs. It is essential to have up-to-date estimates of MS prevalence to assess the impact of this chronic condition on the health care system and to allocate national and regional resources for the management of MS patients. MS has a heterogeneous prevalence in Europe [1, 2]. Only a few studies have investigated the prevalence of MS in France, providing estimates of national prevalence [3, 4], or local prevalence [5, 6]. In view of the marked geographical disparities of the prevalence of MS in France, the French national prevalence cannot be extrapolated from local estimates and studies on comprehensive nationwide data are needed. The most recent estimate of MS prevalence in France was based on 2004 data concerning Long-Term Diseases (LTD) recorded in the French Health Insurance database. In France, LTD registration allows patients with certain diseases and particularly costly therapies, such as MS, to be fully reimbursed (100%) for all MS outpatient and hospital healthcare.
Since 2010, French healthcare databases have been increasingly used for epidemiological purposes . In addition to demographics and LTD status for MS, further data are now available in these databases, namely, reimbursements for disease-modifying treatments, disability pensions for MS, and hospitalisation for MS. This has improved the identification of MS patients in healthcare databases and estimates of MS prevalence.
Mortality is significantly higher in MS patients compared to the general population, but the excess mortality varies between 1.3- and 3-fold depending on the selection of the MS population (clinical centre, registry, or insurance based), the duration of follow-up, the study period, and the geographical area [8,9,10,11]. To date, no nationwide study on the mortality of MS patients has been performed in France.
The present study was designed to estimate the prevalence of MS in France on 31 December 2012 and the mortality rate of these patients in 2013, using the French National Health Insurance database.
Materials and methods
Design and data sources
This was a cross-sectional study using data from the French National Health Insurance database (SNIIRAM) linked with the National hospital discharge database (PMSI) . The SNIIRAM database contains individualized, anonymous and comprehensive data on all reimbursements of patients’ health expenditure. Data are derived from the various French Health Insurance schemes, including the General scheme and the various special insurance schemes. Altogether, these schemes cover nearly the entire population residing in France (65.5 million inhabitants in 2012). Besides data on health expenditure reimbursements, demographic data are available, including the year of birth, gender, area of residence, geographical deprivation , and date of death. The SNIIRAM also contains information on patient eligibility for 100% health insurance coverage for LTD encoded in the International Classification of Diseases, 10th Revision (ICD-10). Similar diagnostic coding is used for the payment of disability pensions for patients of the general scheme. The SNIIRAM database is linked by a unique patient identifier to the PMSI database which provides medical information about all private and public hospital stays in France, including hospitalisation dates and diagnoses coded according to ICD-10.
Algorithm to identify MS cases
We defined four selection criteria to identify a prevalent MS case: reimbursement of a disease-modifying treatment, LTD for MS, disability pensions for MS, and hospitalisation for MS. Since MS is a chronic disease with low or no relapse activity for several years, our selection period was not limited to 2012. To maximize the chances of identifying MS cases, we extended the identification period back in time according to the maximum data storage period available for this study in the databases, i.e., 2011–2012 for SNIIRAM and 2008–2012 for the PMSI.
The selection criteria were: (1°) at least one reimbursement for a disease-modifying treatment (interferon beta, glatiramer acetate, fingolimod, or natalizumab); (2°) LTD for MS with at least one reimbursement related or not related to MS; (3°) at least one disability pension payment for MS (general scheme patients only); and (4°) at least one hospitalisation with a discharge diagnosis of MS (principal, related or associated diagnoses). The ICD-10 code used for these three latter criteria was “G35”. An individual was identified as a prevalent MS case if (1°) he/she met at least one of the four selection criteria and (2°) was alive on 31 December 2012 and (3°) had at least one reimbursement in 2012. This latter criterion was added to ensure that MS patients had received reimbursed care on the national territory in 2012.
The national prevalence of multiple sclerosis was defined as the number of MS cases identified on 31 December 2012 divided by the number of people residing in France (including overseas departments) on 1st January 2013 (http://www.insee.fr). The national prevalence rate was then standardized by gender and by 5-year age category to the 1976 European population, the 2013 European population, and the world population, for comparison purposes.
Geographical variations of MS prevalence were studied using standardized prevalence rates by department and grouped by administrative regions. The reference population for standardization was the general population residing in France on January 1, 2013.
Patients of the MS population on 31 December 2012 who died in 2013 were identified. Age at death and crude mortality rate in 2013 were calculated. A standardized mortality ratio (SMR) was calculated to compare the mortality rate of MS cases with that of the French general population in 2012. This mortality analysis was limited to general scheme beneficiaries (75% of the population living in France) as the date of death is comprehensively reported by this scheme in the SNIIRAM database, in contrast with the other health insurance schemes.
Description of the population
On 31 December 2012, 99,123 patients with MS in France were identified from the SNIIRAM/PMSI databases and 68.4% of these patients were identified by at least two selection criteria. LTD status for MS allowed the identification of 83.3% of MS cases, followed by hospitalisation (69.6%), reimbursement of a disease-modifying treatment (40.1%) and payment of a disability pension for MS (16.3%). 13.5% of the identified MS cases were captured only through hospitalisation records. The sex ratio (female/male) was 2.5. The mean age of the population identified on 31 December 2012 was 50.3 ± 14.2 years and one half of MS cases were between the ages of 40.0 and 60.0 years. 78% of MS cases in metropolitan France lived in urban areas. The distribution of MS cases according to geographical deprivation index was similar to that of the general population.
On 31 December 2012, the national crude prevalence of multiple sclerosis in France was 151.2 per 100,000 inhabitants [95% confidence interval (CI) 150.3–152.2] 210.0 per 100,000 in women (95% CI 208.4–211.5) and 88.7 per 100,000 in men (95% CI 87.6–89.7). The national prevalence rate based on the information provided by LTD status only was 125.9 per 100,000 inhabitants. The crude prevalence rates by gender and age-group are shown in Table 1. The peak prevalence of MS occurred between the ages of 50 and 54 years in women and 55 and 59 years in men. Prevalence rates after standardization on the European and World populations are presented in Table 2 to allow international comparisons.
The standardized prevalence in each region of France is shown in Table 3 and represented graphically in Fig. 1 for each department. Higher standardized prevalence rates were observed in North-Eastern regions of France (e.g., Lorraine, Picardie, or Alsace, with close to 200 MS cases per 100,000 inhabitants) than in South-Western regions (Languedoc-Roussillon, Corse, and Poitou–Charentes with approximately 130 MS cases per 100,000 inhabitants). The standardized prevalence rates in French overseas departments were considerably lower, ranging from 22.9 in Reunion Island (Indian Ocean) to 49.4 MS cases per 100,000 inhabitants in Martinique (Caribbean).
Among the 78,805 general scheme beneficiaries identified as MS cases, 1080 died in 2013. The mean age at death was 66.6 ± 13.9 years (68.2 ± 13.9 in women and 64.1 ± 13.5 in men). The crude mortality rate in 2013 for people identified as having MS on 31 December 2012 was 13.7 per 1000 MS cases (11.4 in women and 20.3 in men). Age-specific and gender-specific crude mortality rates are presented in Fig. 2. The SMR, as compared with the general population, was 2.56 (95% CI 2.41–2.72). The SMR was 2.55 (95% CI 2.35–2.75) in women and 2.58 (95% CI 2.34–2.83) in men.
Principal findings of the study
The French MS prevalence was estimated at 151.2 per 100,000 inhabitants (prevalence rate of 155.6/100,000 standardized to the European population) in 2012 based on data from the French healthcare databases including ICD-10 G35 diagnoses from LTD, hospitalisations, disability pensions, and reimbursements of MS disease-modifying treatment. Patients with MS had a 2.5-fold increased risk of all-cause mortality compared with the general population.
Comparison with French and European estimates of MS prevalence in the literature
Table 4 summarizes the methodologies and results of the previous studies carried out in France to estimate the MS prevalence at a national or local level, presenting their respective strengths and limits. The estimations (per 100,000 inhabitants) based on the capture-recapture method in Haute-Garonne (138–149) and in Lorraine (188.2) are close to our estimations (141.8 and 200.2, respectively).
Despite many studies on the prevalence of multiple sclerosis in European countries, published data are not sufficient to allow reliable comparison between European countries. This is essentially due to a lack of standardized estimates as published rates are rarely age-and-sex-adjusted to the European population. Furthermore, prevalence estimates are often provided for regions or cities in a given country and some European regions are underrepresented. The methodological quality of epidemiological studies, therefore, is highly variable but has improved in the more recent studies due to the use of administrative databases [2, 14]. When searching for recently published estimates of MS prevalence in neighbouring countries of France, very few studies were found to provide MS prevalence rates standardized to the European population [15,16,17,18,19]. Although no direct comparison can, therefore, be established, these recent data suggest that our standardized MS prevalence rate of 155.6 per 100,000 for the 2013 European population is in an intermediate position between those reported in studies from northern (203.4 and 175 per 100,000 in UK and Germany) and southern (96.0 and 70.6 per 100,000 in Italy and Spain) neighbouring countries.
French regional variations in MS prevalence
France is located in the middle of Western Europe. We observed a prevalence gradient with a higher prevalence (190–200 per 100,000) in North-Eastern France and a lower prevalence in the Southern (126 per 100,000 in Corsica-Mediterranean island) and South-Western France (130–140 per 100,000). Age-and-sex-standardized rates determined by an identical method of measurement at the same date from the claims database of a homogeneous national health system support our geographical comparisons according to region. The prevalence gradient observed in our study corresponding to about seven additional cases per 100,000 inhabitants by degree of latitude is in line with that observed by Simpson et al. for Western Europe (8.1 cases per 100,000 inhabitants by degree of latitude) . The standardized prevalence gradient appears to be slightly more marked than in 2004 , although classification of regions according to MS prevalence remains globally similar. The present study is unable to determine the respective roles of possible ethnic or environmental factors that might explain this gradient.
Mortality in MS patients
We found an excess mortality in MS patients compared to the general population with an SMR of 2.56. This result is consistent with the international literature  in which SMR ranges between 2.47 and 2.89, but differs from the result (SMR 1.48) published by Leray et al. . This difference can be explained by the mean follow-up period which was only 15 ± 10 in this study, compared with the longer follow-up period reported in other international studies. In our study, the MS population was followed for only 1 year, but all of the prevalent MS populations were followed, therefore, including young, recent diagnosed patients as well as patients with a longstanding diagnosis.
While crude mortality rates were higher in men than in women, SMRs were similar in both sexes, suggesting that sex-and-age-related differences in MS mortality simply reflect sex-and-age-related differences in the general population, unrelated to the disease.
Strengths and limitations
To our knowledge, this is the first study to provide such an accurate estimate of French MS prevalence and one of the largest studies of national MS prevalence. One of the main strengths of this study is to provide regional estimates of MS prevalence using identical method of measurement. It facilitates regional comparisons and can be helpful for health decision makers to better plan health policies according to MS prevalence.
The prevalent MS population was identified using health insurance reimbursement data from two databases (SNIIRAM and PMSI) with completely independent data collection. Controls insuring the quality of data exist for each of the selection criteria. Information on reimbursement of drugs is collected by entering the specific bar code and transmitted thanks to the patient’s personal smart card. The high cost of treatments for MS excludes the hypothesis of non-reimbursed health care. LTD status for MS is requested by the patient’s GP and validated by the health insurance medical adviser who codes the diagnosis according to ICD-10. A similar process applies to disability pension. Similarly, hospitalisation data are systematically recorded by hospital physicians after hospitalisation to determine the cost of each hospital stay. Physicians specialised in these codes validate and transmit this information to paying bodies. Controls are performed to ensure the validity of the ICD—10 codes used. However, the SNIIRAM-PMSI databases have been created for payment management purposes. Just like other claims and hospitalisation databases, its main limitation is the lack of case validation. The anonymization of the data makes it difficult to match clinical cohort data with SNIIRAM-PMSI data to perform such case validation. As explained by Moulis et al., in the PMSI, only events accompanying the diagnosis or complicating the disease are encoded. Moreover, LTD attributions are not exhaustive for a given disease. If a patient has already obtained an LTD for a certain disease, he may not systematically request a new LTD for another disease. Yet, in our study, the number of information sources observed for each case identified (an average of almost two) and the closeness of our results and the estimates provided by the regional studies with case validations in Haute-Garonne and Lorraine are convincing elements for the quality of the information. With a 5-year pre-index period to detect hospitalisation diagnoses and a 2-year period to detect other criteria, our MS prevalence estimates are probably underestimated by at least 15% as MS cases characterized by a single relapse or benign MS may have been missed. Missing benign MS cases may slightly impact the mortality estimates. Benign MS cases may be less likely to die prematurely compared to other MS cases. Therefore, this bias could have led to a slight overestimation of the mortality of MS patients in our study.
MS incidence was not estimated in this study as identification of incident cases from claims data is a challenging process requiring a long patient history of diagnosis and treatment. Previous studies have reported that a 4-year history is insufficient to accurately classify MS patients as incident on the basis of claims data .
Based on national health insurance data covering of the French population, the prevalence of MS was 155.6 per 100,000 inhabitants (95% CI 154.7–156.6) after standardization on the 2013-European population. This estimation is higher than that previously described. After standardization on sex and age, MS patients had a 2.5-fold increased risk of all-cause mortality compared with the general population.
This database, comprising almost 100,000 people with MS in a single country, could be used to more clearly understand care pathways and costs of management or be linked with the European Database of Multiple Sclerosis (EDMUS) to combine the respective advantages of these two data sources.
Bezzini D, Battaglia MA (2017) Multiple sclerosis epidemiology in Europe. Adv Exp Med Biol 958:141–159
Kingwell E, Marriott JJ, Jetté N et al (2013) Incidence and prevalence of multiple sclerosis in Europe: a systematic review. BMC Neurol 13:128
Fromont A, Binquet C, Sauleau EA et al (2010) Geographic variations of multiple sclerosis in France. Brain J Neurol 133(Pt 7):1889–1899
Vukusic S, Van Bockstael V, Gosselin S, Confavreux C (2007) Regional variations in the prevalence of multiple sclerosis in French farmers. J Neurol Neurosurg Psychiatry 78(7):707–709
El Adssi H, Debouverie M, Guillemin F, LORSEP Group (2012) Estimating the prevalence and incidence of multiple sclerosis in the Lorraine region, France, by the capture-recapture method. Mult Scler Houndmills Basingstoke Engl 18(9):1244–1250
Sagnes-Raffy C, Gourraud P-A, Hannon V et al (2010) La SEP en Haute-Garonne: une sous-estimation importante du nombre de cas. Rev. DÉpidémiologie Santé Publique 58(1):23–31
Blin P, Dureau-Pournin C, Foubert-Samier A et al (2015) Parkinson’s disease incidence and prevalence assessment in France using the national healthcare insurance database. Eur J Neurol 22(3):464–471
Scalfari A, Knappertz V, Cutter G et al (2013) Mortality in patients with multiple sclerosis. Neurology 81(2):184–192
Kaufman DW, Reshef S, Golub HL et al (2014) Survival in commercially insured multiple sclerosis patients and comparator subjects in the U.S. Mult Scler Relat Disord 3(3):364–371
Kingwell E, van der Kop M, Zhao Y et al (2012) Relative mortality and survival in multiple sclerosis: findings from British Columbia. Canada J Neurol Neurosurg Psychiatry 83(1):61–66
Leray E, Vukusic S, Debouverie M et al (2015) Excess mortality in patients with multiple sclerosis starts at 20 years from clinical onset: data from a large-scale French observational study. PLoS One 10(7):e0132033
Moulis G, Lapeyre-Mestre M, Palmaro A et al (2015) French health insurance databases: what interest for medical research? Rev Médecine Int Fondée Par Société Natl Francaise Médecine Int 36(6):411–417
Rey G, Jougla E, Fouillet A, Hémon D (2009) Ecological association between a deprivation index and mortality in France over the period 1997–2001: variations with spatial scale, degree of urbanicity, age, gender and cause of death. BMC Public Health 9:33
Zivadinov R, Iona L, Monti-Bragadin L et al (2003) The use of standardized incidence and prevalence rates in epidemiological studies on multiple sclerosis. A meta-analysis study. Neuroepidemiology 22(1):65–74
Aladro Y, Alemany MJ, Pérez-Vieitez MC et al (2005) Prevalence and incidence of multiple sclerosis in Las Palmas, Canary Islands, Spain. Neuroepidemiology 24(1–2):70–75
Gajofatto A, Stefani A, Turatti M et al (2013) Prevalence of multiple sclerosis in Verona, Italy: an epidemiological and genetic study. Eur J Neurol 20(4):697–703
Höer A, Schiffhorst G, Zimmermann A et al (2014) Multiple sclerosis in Germany: data analysis of administrative prevalence and healthcare delivery in the statutory health system. BMC Health Serv Res 14(1):381
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
Otero-Romero S, Roura P, Solà J et al (2013) Increase in the prevalence of multiple sclerosis over a 17-year period in Osona, Catalonia, Spain. Mult Scler Houndmills Basingstoke Engl 19(2):245–248
Simpson S, Blizzard L, Otahal P, Van der Mei I, Taylor B (2011) Latitude is significantly associated with the prevalence of multiple sclerosis: a meta-analysis. J Neurol Neurosurg Psychiatry 82(10):1132–1141
Capkun G, Lahoz R, Verdun E et al (2015) Expanding the use of administrative claims databases in conducting clinical real-world evidence studies in multiple sclerosis. Curr Med Res Opin 31(5):1029–1039
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
In accordance with the French regulations, there was no requirement for ethical approval to be sought for this observational study, based on healthcare claims data.
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The authors declare that they have no conflict of interest.
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Foulon, S., Maura, G., Dalichampt, M. et al. Prevalence and mortality of patients with multiple sclerosis in France in 2012: a study based on French health insurance data. J Neurol 264, 1185–1192 (2017). https://doi.org/10.1007/s00415-017-8513-0
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