Pay attention: you can fall! The Mini-BESTest scale and the turning duration of the TUG test provide valid balance measures in neurological patients: a prospective study with falls as the balance criterion

Balance function in critical illness survivors and evaluation of psychometric properties of the Mini-BESTest

Critical illness survivors commonly face impairments, such as intensive care unit-acquired weakness (ICUAW) which is characterized by muscle weakness and sensory deficits. Despite these symptoms indicating potential balance deficits, systematic investigations and validated assessments are lacking. Therefore, we aimed to assess balance function using the Mini-BESTest, evaluate its psychometric properties, and identify associated variables. Balance was assessed post-ICU discharge (V1) and at discharge from inpatient neurorehabilitation (V2) in patients with ≥ 5 days of invasive ventilation. Mini-BESTest measurement characteristics were evaluated in an ambulatory subgroup. A multiple linear regression was conducted. The prospective cohort study comprised 250 patients (34% female, 62 ± 14 years, median ICU stay 55 days). Median Mini-BESTest scores improved significantly from V1 (5 (IQR 0-15)) to V2 (18.5 (10-23)) with a large effect size. Excellent inter-rater and test-retest reliabilities of the Mini-BESTest were observed (ICC = 0.981/0.950). Validity was demonstrated by a very high correlation with the Berg Balance Scale (ρ = 0.90). No floor or ceiling effects were detected. Muscle strength, cognitive function, cerebral disease, critical illness polyneuropathy/myopathy, and depression were significantly associated with balance. Despite significant improvements during the rehabilitation period, balance disorders were prevalent in critical illness survivors. Ongoing therapy is recommended. Due to its excellent psychometric properties, the Mini-BESTest is suitable for use in critical illness survivors.Registration: The study was registered at the German Clinical Trials Register (DRKS00021753, date of registration: 2020-09-03).

Minimal detectable change of gait and balance measures in older neurological patients: estimating the standard error of the measurement from before-after rehabilitation data thanks to the linear mixed-effects models

BACKGROUND

Tracking gait and balance impairment in time is paramount in the care of older neurological patients. The Minimal Detectable Change (MDC), built upon the Standard Error of the Measurement (SEM), is the smallest modification of a measure exceeding the measurement error. Here, a novel method based on linear mixed-effects models (LMMs) is applied to estimate the standard error of the measurement from data collected before and after rehabilitation and calculate the MDC of gait and balance measures.

METHODS

One hundred nine older adults with a gait impairment due to neurological disease (66 stroke patients) completed two assessment sessions before and after inpatient rehabilitation. In each session, two trials of the 10-meter walking test and the Timed Up and Go (TUG) test, instrumented with inertial sensors, have been collected. The 95% MDC was calculated for the gait speed, TUG test duration (TTD) and other measures from the TUG test, including the angular velocity peak (ωpeak) in the TUG test's turning phase. Random intercepts and slopes LMMs with sessions as fixed effects were used to estimate SEM. LMMs assumptions (residuals normality and homoscedasticity) were checked, and the predictor variable ln-transformed if needed.

RESULTS

The MDC of gait speed was 0.13 m/s. The TTD MDC, ln-transformed and then expressed as a percentage of the baseline value to meet LMMs' assumptions, was 15%, i.e. TTD should be < 85% of the baseline value to conclude the patient's improvement. ωpeak MDC, also ln-transformed and expressed as the baseline percentage change, was 25%.

CONCLUSIONS

LMMs allowed calculating the MDC of gait and balance measures even if the test-retest steady-state assumption did not hold. The MDC of gait speed, TTD and ωpeak from the TUG test with an inertial sensor have been provided. These indices allow monitoring of the gait and balance impairment, which is central for patients with an increased falling risk, such as neurological old persons.

TRIAL REGISTRATION

NA.

Assessment of functional fitness impacted by hospital rehabilitation in post-stroke patients who additionally contracted COVID-19

Background

The aim of the study was to assess the effects of rehabilitation in post-stroke patients, or post-stroke patients with simultaneous COVID-19 infection, in relation to: improved locomotion efficiency, improved balance, reduced risk of falling as well as the patients' more effective performance in everyday activities.

Methods

The study involved 60 patients in the early period (2-3 months) after a stroke. Group I consisted of 18 patients (30.0%) who, in addition to a stroke, also contracted COVID-19. Group II consisted of 42 patients (70%) post-stroke, with no SARS-CoV2 infection. The effects were assessed on the basis of: Tinetti test, Timed Up & Go test and Barthel scale.

Results

Both groups achieved a statistically significant improvement in their Barthel score after therapy (p < 0.001). The Tinetti test, assessing gait and balance, showed that participants in Group I improved their score by an average of 4.22 points. ±4.35, and in Group II, on average, by 3.48 points ± 3.45 points. In the Timed Up & Go test over a distance of 3 m, significant improvement was achieved in both groups, as well but the effect was higher in Group I (p < 0.001).

Conclusions

Hospital rehabilitation in the early period after stroke improved locomotion efficiency and balance, and reduced the risk of falls in post-stroke patients, both with and without COVID-19 infection.