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Clinical Trial Summary

Introduction: Due to the worldwide ageing population and the increasing prevalence of chronic illnesses and cognitive deficits, appropriate instruments for frailty early screening and assessment of geriatric syndromes are required. Digital tools based on artificial intelligence can help improve the evaluation and screening of health risks in the older adults. Objectives: This study aims to evaluate the effectiveness of the PRESAGE CARE questionnaire in screening geriatric syndromes among older adults and to assess its correlation with standardized test scores of the comprehensive geriatric assessment (CGA). Methods: A monocentric prospective observational study will be conducted between October 2023 and July 2024, on seniors who are in the day hospitalization service of Charles-Foix hospital in France. During the consultation with older adults, the investigators will ask the patient's home caregiver to use the PRESAGE CARE application to fill in the PRESAGE CARE questionnaire. Once the questionnaire will be completed on the application, the PRESAGE platform will automatically recorde specific risks for each senior. Subsequently, the investigators will retrieve the data from standardized tests conduct on the same day and enter the results for each patient into the platform. The primary outcome will be the correlation between standardized test scores and the risks computed by the Presage Care system for the risk of depression, the risk of undernutrition, the risk of cognitive impairment and the risk of loss of autonomy in activities of daily living. Secondary outcome will be the comparison of the Area Under the Median Curve (AUC), and the sensitivity, specificity and positive predictive values of artificial intelligence (AI)-based models on the Présage Care questionnaire.


Clinical Trial Description

During the consultation and the assessment of the older adult by the physicians and the nurses at the day hospitalization service of the hospital, patient's relative fill out PRESAGE CARE questionnaire. Then, the investigators retrieved the data from the standardized tests completed the same day by the health professionals and filled in the test results for each patient on the platform. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06019390
Study type Interventional
Source Presage
Contact Jacques-Henry Veyron, MS
Phone 0622152004
Email jhveyron@presage.care
Status Not yet recruiting
Phase N/A
Start date October 1, 2023
Completion date July 1, 2024

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