Estimation of functional recovery in patients after hip fracture by Berg Balance Scale regarding the sex, age and comorbidity of participants

Abstract

Male sex, increased comorbidity and age more than 85 years could be considered with lower functional recovery capacity potential after hip fracture, and thus should be individually assessed and continuously monitored. Functional status estimation by BBS could be taken as a sensitive predictive value for the evaluation of functional improvement in these patients.

Influence of selective comorbidity predictors on functional recovery after hip fracture in an older population

“…These reports clearly indicate the complexisity of the relationship between rehabilitation programs and functional gains in patients with cognitive impairment after hip fracture. Further, it should be stressed out that for optimal functional improvement, continuous and everyday rehabilitation program should be implemented with individual adjustment of therapy intensity and frequency 19 . Given the facts above, comorbidity predictors as well as their different degree influence the degree of functional recovery after hip fracture pointing out necessity of individual approach in planning the rehabilitation program for these patients.…”

Effects of a Multicomponent Home-Based Physical Rehabilitation Program on Mobility Recovery After Hip Fracture: A Randomized Controlled Trial

“…The recovery of balance mostly occurs in the first six months after a hip fracture . Increased comorbidity, higher age, male gender and functional disability are associated with poorer balance recovery (Edgren et al 2013, Radosavljevic et al 2013. Recovery of the ability to perform tasks that require more strength and balance, such as the ability to negotiate stairs and sit-to-stand from a chair (Kneiss et al 2012) is slow.…”

Evaluation of Functional Recovery by Motor Functional Independence Measure Test of Elderly After Hip Fracture in Serbia

“…12 Similarly to previous approach in this paper we considered two different multivariate models: a) Model 1 -where we used age and CIRS-G as regressors and b) Model 2 -where we used age, CIRS-G and the admittance mFIM as regressors. As it can be seen from the table 3, the MSE is improved in all the cases.…”

“…Motor functional status was evaluated separately for male and female gender as well for different age groups: 65-74 years (Group 65-74 ), 75-84 years (Group 75-84 ) and 85 years and older (Group 85-up ). 12 FIM presents valid and reliable test in the estimation of aggregated changes in functional status that appears in the defined period of the study evaluation. [13][14][15] It is composed of 18 categories that are scaled from 1-7 each.…”