Individual and Environmental Risk Factors for Unscheduled Hospitalizations of Elderly People

Not Applicable

• Conditions: Environmental Exposure; Individual Difference
• Interventions: Other: Prospective cohort for etiological and prognostic purposes

• Registration Number: NCT04326556
• Lead Sponsor: Virginia BRANCO

Brief Summary

The elderly are weakened by the accumulation of chronic diseases. Their acute decompensation often leads to unscheduled hospitalization, which constitutes a breach of care with often serious consequences in terms of morbidity and mortality. Few studies have identified all the risk factors for unscheduled hospitalization in the very elderly. This project deals with the impact of air pollution on the very elderly as a source of physiological decompensations leading to unscheduled hospitalizations, in association with other individual and environmental risk factors. It complements the Rieho cohort that followed 973 elderly people on the same objective and enriches it with the use of sensors measuring the peri-individual atmospheric environment.

Detailed Description

In order to facilitate the perspective and scientific valorization of these data, the experimental design and population characteristics reproduce those of the RIEHO cohort (Coordinator P Aegerter), which aims to identify individual and environmental risk factors for unscheduled hospitalization of the elderly and included 973 people over 80 years of age with a 2-year follow-up, closed in early 2017. Indeed, the workforce mobilized in the Rieho-C study is undersized to measure an association between air quality and a major health impact (hospitalization or death), this objective can only be achieved by adding Rieho-C data to those of Rieho.

Study Timeline

• Status Verified: 2020-03
• Study First Submitted: 2020-03-25
• Study First Submitted QC: 2020-03-25
• Last Update Submitted: 2020-03-25
• Study First Posted: 2020-03-30
• Last Update Posted: 2020-03-30
• Study Start: 2020-04
• Primary Completion: 2021-04
• Study Completion: 2021-09

Recruitment & Eligibility

• Status: UNKNOWN
• Sex: All
• Target Recruitment: 70

Inclusion Criteria

• Person over 80 years of age consulting in the geriatrics department of Ste-Périne Hospital (Gerontology Consultations, Dr A Hiance- Delahaye, Head of Department Pr J Ankri. Paris XVI), for a standardised geriatric assessment, for any reason, if it does not result in immediate or foreseeable hospitalisation within 2 weeks,
• Living at home or in a residence,
• Subject living in Ile-de-France,
• Subject speaking French; this study requires minimal participation of subjects (wearing sensors, qualitative interview) that does not appear compatible with comprehension problems,
• MMSE Score ≥ 15
• ADL score ≥ 3
• Affiliated with a health insurance plan or eligible,
• Person who has signed an informed and written consent.

Exclusion Criteria

• Subject whose state of health requires hospitalization within two weeks,
• Subject under guardianship or curatorship,
• Subject living in collective housing (retirement home) or entering an institution within 2 weeks,
• Abundant thoracic hair causing poor contact of the ECG electrodes of the physiological sensor,
• Rejection of patient's contact information, refuses to answer questionnaires and follow-up visits, or refuses to wear sensors, Impossibility, during the initial assessment, to establish at least telephone contact with the caregiver when he or she organizes the home visit,
• Subject already included in the study.

Study & Design

• Study Type: INTERVENTIONAL
• Study Design: SINGLE_GROUP

Arm && Interventions

Group	Intervention	Description
Prospective cohort for etiological and prognostic purposes	Prospective cohort for etiological and prognostic purposes	-

Primary Outcome Measures

Name	Time	Method
To describe the quality of the peri-individual atmospheric environment, both indoor and outdoor	3 years	The quality of the peri-individual atmospheric environment will be described by the distribution (average, maximum and cumulative values) of the daily concentrations of pollutants (PM10, NO2).