Multidimensional frailty and its association with quality of life and disability: A cross-sectional study in people with multiple sclerosis.

BACKGROUND: People with multiple sclerosis (pwMS) have a high risk of frailty. We aim to evaluate frailty using the Tilburg frailty indicator (TFI), a multidimensional self-reported questionnaire, and to explore its relationship with autonomy, quality of life (QoL), and disability. METHODS: All the patients with MS enrolled completed TFI (frail when TFI score ≥ 5 points), the Groningen Activities Restriction Scale to evaluate autonomy, and the Multiple Sclerosis Impact Scale-29 to evaluate QoL. We collected the Expanded Disability Status Scale (EDSS) score, age and gender. Data were analysed using descriptive analyses, hierarchical multiple regression, and ANCOVA. RESULTS: A total of 208 pwMS (mean age 44 years, SD=11; 75% women; 89.4% relapsing-remitting) were enrolled. The mean TFI total score was 5.7 points (SD=3.0; range 0-14), with the 62.5% of participants exhibiting frailty. After controlling for age and gender, the EDSS score was associated with the total (ß=0.469; R2=0.255; p<0.001) and the physical (ß=0.571; R2=0.349; p<0.001) frailty score, with an explained variance of 25.5% and 34.9%, respectively. No relationships between the EDSS and psychological and social frailty domains were detected. The proportion of frail patients with EDSS ≥ 6.0, EDSS within 3.5-5.5, and EDSS ≤ 3.0 was 91.7%, 83.3%, and 66.0%, respectively. Frail patients exhibited higher autonomy impairment (p = 0.017) and worse QoL (p<0.001). DISCUSSION: We found a high frequency of frail patients with MS. Frailty is more common in patients with higher disability, but it affects also those with low EDSS. In people with MS frailty could be influenced by factors other than disability.

Cognitive Frailty in Italian Community-Dwelling Older Adults: Prevalence Rate and Its Association with Disability.

Cognitive frailty is the simultaneous clinical manifestation of both physical frailty and cognitive impairment. This paper aimed to propose and test an operational definition of cognitive frailty. The following specific aims were pursued: (i) to rate the prevalence of cognitive frailty; (ii) to evaluate differences in cognitive functioning among robust, pre-frail, and frail individuals; (iii) to examine the association of cognitive frailty with disability, in a sample of Italian community-dwelling older adults. Five hundred and ninety-four older adults (mean age 73.6 years, SD=5.8) were involved in this cross-sectional study. Cognitive frailty was operationalized using the Mini Mental State Examination (cut-off score equal or less than 25) for the evaluation of cognitive functions and the five criteria of the Cardiovascular Health Study (cut-off score equal or higher than 3) for the evaluation of physical frailty. Participants positive for both instruments were classified as cognitively frail. The outcome was disability measured with the Groningen Activity Restriction Scale. Descriptive statistics, one-way and two-way analysis of covariance (ANCOVA) were carried out. The prevalence rate of cognitive frailty was 4.4%. The one-way ANCOVA, controlling for age and gender, showed a significant difference (p< .001) among robust, pre-frail, and frail participants for the cognitive functioning. Moreover, cognitively frail individuals showed a difference (p<.001) in disability in comparison with non-frail participants. Our results are significant and provide empirical evidence about the usefulness of the cognitive frailty concept.

The contribution of postural balance analysis in older adult fallers: A narrative review.

OBJECTIVE: Falls are a serious health problem for older adults. Several studies have identified the decline of postural balance as one of the main risk factors for falls. Contrary to what may be believed, the capability of force platform measurements to predict falls remains uncertain. The focus of this narrative review is the identification of postural characteristics of older adults at risk of falling using both static and dynamic postural balance assessments. METHODS: The literature analysis was conducted on Medline/PubMed. The search ended in May 2015. RESULTS: Centre of pressure (CoP) path length, CoP velocity and sway in medial lateral and anterior-posterior are the variables that distinguish older adult fallers from non-fallers. DISCUSSION: Recommendations to medical personnel on how to provide efficient balance training for older adults are offered, discussing the relevance and limitations of postural stability on static and dynamic board in falling risk prevention.