Operationalization of a frailty index in patients with multiple sclerosis: A cross-sectional investigation.

Multiple sclerosis disability fatigue frailty risk profile secondary progressive multiple sclerosis

Journal

Multiple sclerosis (Houndmills, Basingstoke, England)
ISSN: 1477-0970
Titre abrégé: Mult Scler
Pays: England
ID NLM: 9509185

Informations de publication

Date de publication:
10 2021
Historique:
pubmed: 11 2 2021
medline: 26 10 2021
entrez: 10 2 2021
Statut: ppublish

Résumé

Frailty is an age-related status of increased vulnerability to stressors caused by the accumulation of multiple health deficits. This construct may allow to capture the clinical complexity of patients with multiple sclerosis (MS). To investigate the relationship between frailty and the clinical manifestations of MS. Patients with MS were consecutively enrolled at five tertiary dedicated services. Disability and fatigue were assessed. The phenotypes of MS were also identified. Frailty was measured using a frailty index (FI), computed by cumulatively considering 42 age-related multidimensional health deficits. Overall, 745 MS patients (mean age = 48.2 years, standard deviation = 11.7 years; women 68%) were considered. The median FI value was 0.12 (interquartile range = 0.05-0.19) and the 99th percentile was 0.40. FI scores were associated with MS disease duration, disability, fatigue, as well as with the number of previous disease-modifying treatments and current symptomatic therapies. A logistic regression analysis model showed that FI score was independently associated with the secondary progressive phenotype. Frailty is significantly associated with major characteristics of MS. The findings of the present cross-sectional investigation should be explored in future longitudinal studies.

Sections du résumé

BACKGROUND
Frailty is an age-related status of increased vulnerability to stressors caused by the accumulation of multiple health deficits. This construct may allow to capture the clinical complexity of patients with multiple sclerosis (MS).
OBJECTIVE
To investigate the relationship between frailty and the clinical manifestations of MS.
METHODS
Patients with MS were consecutively enrolled at five tertiary dedicated services. Disability and fatigue were assessed. The phenotypes of MS were also identified. Frailty was measured using a frailty index (FI), computed by cumulatively considering 42 age-related multidimensional health deficits.
RESULTS
Overall, 745 MS patients (mean age = 48.2 years, standard deviation = 11.7 years; women 68%) were considered. The median FI value was 0.12 (interquartile range = 0.05-0.19) and the 99th percentile was 0.40. FI scores were associated with MS disease duration, disability, fatigue, as well as with the number of previous disease-modifying treatments and current symptomatic therapies. A logistic regression analysis model showed that FI score was independently associated with the secondary progressive phenotype.
CONCLUSION
Frailty is significantly associated with major characteristics of MS. The findings of the present cross-sectional investigation should be explored in future longitudinal studies.

Identifiants

pubmed: 33565913
doi: 10.1177/1352458520987541
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1939-1947

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Auteurs

Daniele Belvisi (D)

Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy/IRCCS Neuromed, Pozzilli, Italy.

Marco Canevelli (M)

Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy/National Center for Disease Prevention and Health Promotion, Italian National Institute of Health, Rome, Italy.

Viola Baione (V)

Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.

Maria Chiara Buscarinu (MC)

Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.

Giulia Pellicciari (G)

Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.

Roberta Fantozzi (R)

IRCCS Neuromed, Pozzilli, Italy.

Armando Creta (A)

IRCCS Neuromed, Pozzilli, Italy.

Gianluca Cecchi (G)

Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy.

Gaia Cola (G)

Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy.

Carolina Gabri Nicoletti (CG)

Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy.

Antonio Cortese (A)

S. Filippo Hospital, Rome, Italy.

Laura De Giglio (L)

S. Filippo Hospital, Rome, Italy.

Matteo Tartaglia (M)

Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.

Sebastiano Giuseppe Crisafulli (SG)

Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.

Giuseppe Bruno (G)

Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.

Elisabetta Ferraro (E)

S. Filippo Hospital, Rome, Italy.

Girolama Alessandra Marfia (GA)

IRCCS Neuromed, Pozzilli, Italy/Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy.

Diego Centonze (D)

IRCCS Neuromed, Pozzilli, Italy/Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, Rome, Italy.

Marco Salvetti (M)

IRCCS Neuromed, Pozzilli, Italy/Department of Neurosciences, Mental Health, and Sensory Organs (NESMOS), Sapienza University of Rome, Rome, Italy.

Antonella Conte (A)

Department of Human Neuroscience, Sapienza University of Rome, Rome, Italy/IRCCS Neuromed, Pozzilli, Italy.

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