PREVALENCE AND INCIDENCE OF SYSTEMIC LUPUS ERYTHEMATOSUS IN CATALONIA (SPAIN). A POPULATION-BASED STUDY
Notice bibliographique
Résumé
PV084 / #684 Poster Topic: AS11 - Epidemiology and Public Health Background/Purpose According to recent epidemiological studies using administrative data, the prevalence of systemic lupus erythematosus (SLE) in Northern European countries ranges around 45-75/100.000 inhabitants.[1-3] The information on epidemiological studies in the European Mediterranean region comes from cohorts of academic centers, but population-based data is limited. Our objective was to determine the prevalence and incidence rates of SLE in Catalonia (Spain) during the period from January 1, 2011, and December 31, 2021. Methods We conducted a population-based cohort study of all existing Catalonian cases who received SLE diagnosis from 2006 to 2021 by using ICD-10-CM codes from the Information System for the Development of Primary Care Research (SIDIAP). A database of primary care electronic health records that includes data from 328 primary care practices covering 5.8 million people, 75% of the Catalan population.[4] Prevalence rate was defined as the number of affected persons in the population at a specified time divided by the number of persons at that time. The numerator of prevalence rate was the number of persons, within 5-year age-sex groups, who met the definition of SLE between January 1, 2006, and December 31, 2021, and alive and registered with the SIDIAP on Dec 31, 2021. Incidence rates by age and sex were obtained for the 1-year period between January 1, 2011, and December 31, 2021. Persons diagnosed with SLE during the 5-year run-in period from Jan 1, 2006, until December 31, 2010 were not be eligible to become incident cases. Results We identified 10.609 prevalent cases of SLE, with a mean age of 47.5 years (SD 16.3). Of these patients, 8,851 (83.4%) were female, and 6,885 (64.9%) had Spanish Nationality. Other places of origin included Latin American countries in 524 (4.9%), 279 (2.6% %) from other European countries, and 158 from Africa (1.4%). We found an overall prevalence rate of 13.84 per 100,000 (Female 22.7, Men 4.6). By age groups, prevalent cases were 1,568 (14.7%) in the 18-29 yrs group, 2,335 (22.0%) in the 30-39 group, 2,390 (22.5%) in 40-49 group, 2,595 (24.9%) in 50-64 in group and 1,721 (16.2%) in group older than 64 years. Overall incident cases during the study period were 6.166. Overall incident rate was 9.87, per 100,000, 15.69 per 100,000 for females, and 3.85 per 100,000 for males. Sex-specific and overall incidence rates by year are depicted in Figure 1 and by age groups in Figure 2. Detailed information of incident cases from our study period according to age groups and sex is presented in Table 1. Figure 1. Sex-specific and overall incidence rates by year Figure 2. Incidence rates by age-groups Table 1. Incidence of SLE from 2011-2021 Conclusions This is the first study assessing the prevalence and incidence of SLE in Catalonia at the population level. We found that more than a quarter of SLE individuals are not from Spanish origin. These may have implications for assessment of the diseases burden, and resource allocations. We found a lower prevalence of SLE in Catalonia than in Northern European countries.[1-3] Incidence rates were stable in both genders in our study period, with women showing 4-5 fold higher incidence rates than men. Incidence rates were higher among 40-50 and 50-64 age groups. References: [1.] Rees F. Ann Rheum Dis 2016;75(1):136-41. [2.] Alexander T. Ann Rheum Dis 2023 (AB0512). [3.] Arkema EV. ACR Open Rheumatol 2023;5(8) :426-32. [4.] Recalde M. Int J Epidemiol 2022;51(6):e324-33.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».