Study of the Robustness Predictive Factors in People Aged Over 75 Years After Going to the Emergency Room
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Aging
- Sponsor
- Lille Catholic University
- Enrollment
- 110
- Locations
- 1
- Primary Endpoint
- Identification of predictive factors of robustness : Autonomy level at home (ADL score)
- Status
- Completed
- Last Updated
- 4 years ago
Overview
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.
Investigators
Eligibility Criteria
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
Outcomes
Primary Outcomes
Identification of predictive factors of robustness : Autonomy level at home (ADL score)
Time Frame: 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)
Time Frame: 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)
Time Frame: 3 months
Number of family visits
Identification of predictive factors of robustness by a questionnaire (appetit)
Time Frame: 3 months
loss of appetite (yes or not)
Identification of predictive factors of robustness (heart rate)
Time Frame: 3 months
Heart rate during hospitalization (minimum and maximum values)
Identification of predictive factors of robustness (Modified Triage Risk Screening Tool (TRST)) score
Time Frame: 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.
Identification of predictive factors of robustness : BMI (Body Mass Index)
Time Frame: 3 months
Body mass index
Albuminemia
Time Frame: 3 months
Rate of Albuminemia
Identification of predictive factors of robustness : Lifestyle
Time Frame: 3 months
Lifestyle: person living alone (yes or not)
Sleep assessment using a Visual Analog Scale (VAS).
Time Frame: 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 Outcomes
- Rate of re-hospitalization(3 months)
- Rate of patient survival(3 months)
- Rate of lack of Institutionalization(3 months)