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Frailty is a age dependent physiological state of vulnerability. Frailty is screened by the phenotypic model (5 clinical criteria) or the cumulative model (various clinical and biological criteria). Currently, aging with autism spectrum disorder and mental retardation (ADS-MR) is poor described. Nevertheless many data indicate that people with ADS-MR may present an early aging.
Principal aim of this study is to determine if frailty in people with ADS-MR aged over 20 years depend on age. Secondary aims are to evaluate frailty prevalence, to describe with details health according to age, and to verify the frailty index validity for predicting falls, hospitalisation and death, in this population of ADS-MR patients aged over 20 years.
This monocentric and prospective study will include 60 ADS-MR patients aged over 20 years and living in Languedoc-Roussillon's medico-social care homes. Patients are evaluated at the time of inclusion. Frailty index is calculated from 104 clinical and biological criteria. Furthermore the investigator staff collect data about ADS severity (CARS), adaptative and intellectual functionning (Vineland), and psychiatric and somatic comorbidities (Reiss scale, DSQIID and CIRS). Falls, hospitalisations or death occurrence is then collected every year during 5 years.
The connection between frailty index and age will be studied using linear regression. The frailty index validity will be analysed using ROC curves. Modelisation of the falls, hospitalisations or death risk in the 5 years after the initial evaluation will help in identification of the more frailty predictive criteria.
Full description
Calendar :
This study will take place during 60 months. 4 first months will be devoted at the ethic and administrative issues. Inclusion will take place during 26 months. Follow-up will take 5 years. Last months will be used for data analysis and articles submission.
Perspectives :
This study will be the first describing frailty evolution during aging in patients suffering from ADS-MR. It will be useful for creating a new, simple and pragmatical frailty screening tool specific for ADS-MR patients in order to detect earlier which patient are the most frail.
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63 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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