Le 01/12/2022 de 09:00 à 10:30
Nouvelle épidémiologie des personnes vivant avec une lésion médullaire en France.
Jonathan Levy (Garches, France), Fanny Duchaine (Paris, France), Djamel Bensmail (Garches, France), Camille Regaert (Paris, France), Maude Espagnacq (Paris, France), Pierre Denys (Garches, France)
Objective : Actual descriptions of the population of persons with spinal cord injuries (SCI) in France is either outdated or not exhaustive. They rely on large cohort studies from the Tetrafigap group (in the early 2000’s), or the intent to build a SCI cartography by the French Public Health Insurance, based on paraplegia and tetraplegia ICD-10 codes (G82.x). Using a multiple code entries step-by-step algorithm previously presented, we aimed to give a precise overview of the French SCI population.
Material / Patients and Methods : We extracted data from the SNDS (Système National des Données de Santé), for the time-period 2012-2019, looking for: motives for full medical coverage, ICD-10 codes, and health-care acts specific of SCI management (used as validation). Codes were either including, excluding, or needed confirmation. Each individual with SCI was paired with 5 “twins” among the overall population (using gender, age and living area stratification) to compare medical habits.
Results : 135698 persons (aged ≥16) were living with SCI in France on 31/12/2019, mostly men (55.9%), with a median age of 58 IQR[45;70]. 16% were traumatic, 47% acquired non-traumatic, 7% congenital, 2% genetic, 2% primary spinal tumors. 26% were only defined by a G82.x code without exclusion code. 26% had high medical needs, requiring 5-times more hospitalizations, and consuming 8-times more antibiotics compared to controls.
Discussion - Conclusion : Our methods allowed a precise identification of the SCI population in France. It opens the field for the study of its medical needs and consumption, with either transversal or longitudinal approach, and can be updated yearly.
Keywords : spinal cord injuries, epidemiology, public health insurance, health data hub
Disclosure of interest : Aucun