Robustness Predictive Factors in People Aged Over 75 Years After Going to the Emergency Room (ROB-U)

Completed

• Conditions: Aging; Emergency Room; Risk Factors

• Registration Number: NCT04683380
• Lead Sponsor: Lille Catholic University

Brief Summary

After emergency room visits, the elderly patients can increase their dependence and functional decline. In this context the goal of this study is to demonstrate that there are robustness predictive factors after visit to the emergency room.

Detailed Description

The emergency department is one of the main access routes to the hospital for elderly patients.

Older age is often associated with an increase risk of longer stay in the emergency room with a high subsequent risk of hospital re-admission. One of the essential care objectives when treating these patients is to maintain the autonomy to avoid any dependence in order to keep the quality of life, and limit the time of hospitalization.

Emergency room visits and hospitalizations are too often considered as a source of autonomy loss aggravation in the elderly. Many studies have demonstrated the mortality predictive factors existence, functional decline, or re-hospitalization of the elderly after an emergency room visit or after hospitalization.

No study until now has investigated the existence of factors directly predictive of robustness. Then the goal of this study is to demonstrate that there are robustness predictive factors after going to the emergency room.

Study Timeline

• Study First Submitted: 2020-12-16
• Study First Submitted QC: 2020-12-21
• Study First Posted: 2020-12-24
• Study Start: 2021-03-10
• Primary Completion: 2021-12-10
• Study Completion: 2021-12-10
• Status Verified: 2022-01
• Last Update Submitted: 2022-01-05
• Last Update Posted: 2022-01-06

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 110

Inclusion Criteria

• Patients admitted to the emergency room
• Patients aged ≥ 75 years old
• Patients without cognitive disorders or vigilance disorders
• Patients living at home
• Patients able to give its non-opposition

Non inclusion Criteria:

• Patients admitted to the hospital in the last 3 months
• Patients refusing to participate in the study

Exclusion Criteria

• Patients whose stay is < 14h or > 48h
• Patients who die during hospitalization
• Patient not hospitalized
• Patient not returning home after discharge from hospital

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Identification of predictive factors of robustness : BMI (Body Mass Index)	3 months	Body mass index
Identification of predictive factors of robustness : Autonomy level at home (ADL score)	3 months	ADL self-performance coding ranges from 0 (independent) to 4 (total dependence).
Identification of predictive factors of robustness by a questionnaire (help at home)	3 months	Need of help at home such as : toilet, breakfast, lunch, dinner (yes or not)
Identification of predictive factors of robustness by a questionnaire (family visits)	3 months	Number of family visits
Identification of predictive factors of robustness by a questionnaire (appetit)	3 months	loss of appetite (yes or not)
Identification of predictive factors of robustness (heart rate)	3 months	Heart rate during hospitalization (minimum and maximum values)
Identification of predictive factors of robustness (Modified Triage Risk Screening Tool (TRST)) score	3 months	The TRST score is a tool to predict repeat emergency department visits and hospitalizations in older patients discharged from the emergency department; This tool evaluates 5 dimensions : cognitive disorders presence, walking disorders, polymedication, hospitalization antecedents and functional assessment (loss of autonomy). Every dimension is worth 1 point if the patient presents the disorder. The final maximum score is 5 points.
Albuminemia	3 months	Rate of Albuminemia
Identification of predictive factors of robustness : Lifestyle	3 months	Lifestyle: person living alone (yes or not)
Sleep assessment using a Visual Analog Scale (VAS).	3 months	This scale allows patients to assess their fatigue. The patients locate their fatigue intensity on a 100-millimeters horizontal line. Using a ruler, the score is determined by measuring the distance (mm) on the 10-cm line between the "no pain" anchor and the patient's mark, providing a range of scores from 0-100. A higher score indicates greater pain intensity.

Secondary Outcome Measures

Name	Time	Method
Rate of re-hospitalization	3 months	Only direct re-hospitalizations in emergency rooms and geriatric short stay will be counted
Rate of patient survival	3 months	Rate of patient survival
Rate of lack of Institutionalization	3 months	Rate of lack of Institutionalization

Trial Locations

Locations (1)

Saint-Vincent Hospital; 🇫🇷 Lille, Haut-de-France, France