Estimating the Prevalence of Systemic Sclerosis in the Lorraine Region, France, by the Capture–recapture Method

International audienceOBJECTIVE:To assess the prevalence of systemic sclerosis (SSc) in the Lorraine region, France.METHODS:Data from three sources - general practitioners and community and hospital specialists, medical records departments, and regional and national laboratories-and a capture-recapture method with log-linear models were used to estimate SSc prevalence in the region. Double recording was checked, and reported cases were validated after a review of medical records.RESULTS:We identified 560 records of suspected SSc cases corresponding to 327 unique suspected SSc cases existing on June 30, 2006, in Lorraine. On the basis of the 193 validated cases (22 [11.4%] with diffuse disease, 136 [70.5%] with limited disease, 31 [16.1%] with limited involvement and 4 unknown), the observed overall crude prevalence of SSc was 105.4 cases per million adult inhabitants (95% confidence interval [CI]: 91.0; 121.4). With the capture-recapture method, the estimated number of SSc cases was 233 (95% CI: 217.3; 260.0), so an estimated 40 cases were not identified by the three sources. The estimated overall prevalence was 132.2 cases per million adult inhabitants (95% CI: 115.8; 154.0).CONCLUSIONS:Our study provides the first estimate of SSc prevalence in the Lorraine region. The capture-recapture method allowed us to estimate an additional 21% of unobserved cases and is a good alternative to the community-based study design for estimating the prevalence of rare diseases

Incidence of multiple sclerosis in Northern Lisbon, Portugal: 1998–2007

BACKGROUND: There are few, recent, well assessed, multiple sclerosis (MS) incidence surveys on European populations. This study sought to measure MS incidence in a Northern Lisbon population and assess it using capture-recapture methods (CRMs). METHODS: Among the population residing in the Northern Lisbon Health Area, registered MS diagnoses were obtained from general practitioners in three primary-care districts covering a population of 196,300, and a neurology unit at the main referral hospital. Cases with onset during the periods 1978–1997 and 2008–2012 were excluded due to perceived poor access to image-supported neurological diagnosis and administrative changes in patient referral respectively. Age- and sex-specific incidences for the period 1998–2007 were calculated using McDonald diagnostic criteria, and CRMs were used to correct age-specific incidence rates. The corrected figures were also adjusted for age using the European Standard Population as reference. RESULTS: When applied to 62 MS patients with onset in the period 1998–2007, the rates per 100,000 population were as follows for both sexes: crude, 3.16; age-adjusted, 3.09 (95% CI 2.32 to 3.87); CRM-adjusted, 4.53 (95% CI 3.13 to 5.94); and age- and CRM-adjusted, 4.48 (3.54-5.41). In general, the rates were 3-fold higher among women than among men. Negative source dependency and CRM impact were highest at ages 35–44 years, where a 60% rise led to a peak incidence. CONCLUSIONS: MS incidence in Northern Lisbon, Portugal, is moderately lower than that yielded by surveys on European populations. CRMs, which in this instance suggest undercounts, are a potentially useful tool for case-finding assessment but their application may introduce bias