Situación actual de las enfermedades huérfanas en Bogotá: notificación al Sivigila entre el año 2019 y 2022

Julián Serrano-Giraldo, Martha P. Becerra-Muñoz, Jennifer A. Tijaro-Santos, Ignacio Zarante

Producción: Contribución a una revistaArtículorevisión exhaustiva

Resumen

Objective: To analyze the reports of orphan diseases in Bogotá, in order to describe the epidemiological profile, based on the cases reported to the Public Health System (Sivigila), from January 2019 to March 2022. Methods: A descriptive and cross-sectional study was carried out in which the cases reported to Sivigila in Bogotá were analyzed in the period between January 2019 and March 2022. Absolute and relative frequencies, frequency distribution and prevalences and averages of different variables were calculated. notified in the notification sheets. Results: From January 2019 to March 2022, 10,399 patients with orphan diseases have been notified to Sivigila in Bogotá, of which 56.25% (5,849) are female and 43.75% (4,550) are female. male sex. 87.10% (9,060) of the cases belong to the contributory regime. The town with the highest number of reports was Suba with 15.85% (1,294). The most reported orphan diseases were: multiple sclerosis with 13.1% (1,363), amyotrophic lateral sclerosis with 4.04% (421) and Guillain-Barre syndrome with 3.6% (374). A patient with an orphan disease in Bogotá takes 61.3 months on average from the beginning of their symptoms to obtaining a diagnosis (SD 101.9). Conclusions: From the notification to Sivigila in Bogotá, compared to the global prevalence, there is an under-registration of patients with orphan diseases and the delay in the diagnosis of these diseases is evident.

Título traducido de la contribuciónCurrent situation of rare diseases in Bogotá: Notification to Sivigila from 2019 to 2022
Idioma originalEspañol
Páginas (desde-hasta)107594
Número de páginas1
PublicaciónRevista de Salud Publica
Volumen25
N.º4
DOI
EstadoPublicada - 01 ago. 2023

Palabras clave

  • diagnostic delay (source: MeSH, NLM)
  • epidemiological monitoring
  • public health
  • Rare diseases
  • time to diagnosis

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