Use of a clustering method to describe the ...
Document type :
Article dans une revue scientifique: Article original
PMID :
Permalink :
Title :
Use of a clustering method to describe the clinical profiles of older fallers: the value of a multidisciplinary consultation.
Author(s) :
Pambet, M. [Auteur]
Centre Hospitalier Régional d'Orléans [CHRO]
Gauvain, J. B. [Auteur]
Centre Hospitalier Régional d'Orléans [CHRO]
Valery, A. [Auteur]
Centre Hospitalier Régional d'Orléans [CHRO]
Annweiler, C. [Auteur]
Université d'Angers [UA]
Mandigout, S. [Auteur]
Université de Limoges [UNILIM]
Fougere, B. [Auteur]
Université de Tours [UT]
Puisieux, Francois [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Centre Hospitalier Régional d'Orléans [CHRO]
Gauvain, J. B. [Auteur]
Centre Hospitalier Régional d'Orléans [CHRO]
Valery, A. [Auteur]
Centre Hospitalier Régional d'Orléans [CHRO]
Annweiler, C. [Auteur]
Université d'Angers [UA]
Mandigout, S. [Auteur]
Université de Limoges [UNILIM]
Fougere, B. [Auteur]
Université de Tours [UT]
Puisieux, Francois [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Journal title :
European Geriatric Medicine
Abbreviated title :
Eur Geriatr Med
Publication date :
2023-08-27
ISSN :
1878-7649
English keyword(s) :
Clustering
Falls
Frailty
Gait speed
Physical inactivity
Falls
Frailty
Gait speed
Physical inactivity
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Objectives
The population of older adults is particularly heterogeneous with regard to frailty and the risk of falling, the two of which are linked. We conducted an exploratory, analysis (with no preconceived ideas) of ...
Show more >Objectives The population of older adults is particularly heterogeneous with regard to frailty and the risk of falling, the two of which are linked. We conducted an exploratory, analysis (with no preconceived ideas) of data collected during multidisciplinary falls consultations (MFCs), to identify people with similar profiles. Materials and methods We performed an observational, multicentre study of older patients (aged 75 and over) having been evaluated in an MFC. We excluded adults with a Mini Mental State Examination score < 14/30, an activities of daily living score < 4/6, or an unstable medical condition. Each participant underwent a clinical interview, impedancemetry, and a physical activity assessment (a questionnaire, and use of an activity tracker on 5 consecutive days). The K-means method and ascending hierarchical clustering were used to identify clusters of people with common characteristics. Results Of the 106 participants, the median [IQR] mean number of falls in the previous 6 months was 1 [2]. Three functional clusters were identified: (i) fallers with poor mobility, difficulty getting up off the ground after a fall, and using a mobility aid for walking; (ii) an intermediate sedentary group with a gait speed of ~ 0.6 m s−1, and (iii) active people with a timed “up and go” test time below 15 s and a gait speed above 0.8 m s−1. Conclusions The population of older fallers referred for an MFC is heterogeneous. The presence of certain clinical characteristics enabled the definition of three patient clusters, which might help physicians to determine the most appropriate care objectives and pathways.Show less >
Show more >Objectives The population of older adults is particularly heterogeneous with regard to frailty and the risk of falling, the two of which are linked. We conducted an exploratory, analysis (with no preconceived ideas) of data collected during multidisciplinary falls consultations (MFCs), to identify people with similar profiles. Materials and methods We performed an observational, multicentre study of older patients (aged 75 and over) having been evaluated in an MFC. We excluded adults with a Mini Mental State Examination score < 14/30, an activities of daily living score < 4/6, or an unstable medical condition. Each participant underwent a clinical interview, impedancemetry, and a physical activity assessment (a questionnaire, and use of an activity tracker on 5 consecutive days). The K-means method and ascending hierarchical clustering were used to identify clusters of people with common characteristics. Results Of the 106 participants, the median [IQR] mean number of falls in the previous 6 months was 1 [2]. Three functional clusters were identified: (i) fallers with poor mobility, difficulty getting up off the ground after a fall, and using a mobility aid for walking; (ii) an intermediate sedentary group with a gait speed of ~ 0.6 m s−1, and (iii) active people with a timed “up and go” test time below 15 s and a gait speed above 0.8 m s−1. Conclusions The population of older fallers referred for an MFC is heterogeneous. The presence of certain clinical characteristics enabled the definition of three patient clusters, which might help physicians to determine the most appropriate care objectives and pathways.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
Université de Lille
CHU Lille
CHU Lille
Submission date :
2023-11-15T01:39:29Z
2024-04-17T09:37:31Z
2024-04-17T09:37:31Z