Revisiting Poststroke Upper Limb Stratification: Resilience in a Larger Cohort

Additional therapy promotes a continued pattern of improvement in upper-limb function and independence post-stroke

BACKGROUND

Upper-limb motor impairment after stroke is common and disabling. Growing evidence suggests that rehabilitation is effective in the chronic period. However, there is limited knowledge on the effects of ongoing targeted rehabilitation programs on patient outcomes.

OBJECTIVES

This study investigated the effects of delivering two programs of dose-matched evidence-based upper-limb rehabilitation to community-dwelling post-acute stroke patients with low, moderate and high motor-function.

MATERIALS AND METHODS

12 patients (2 female) aged 50.5±18.2 years and 13.8±10.8 months post-stroke completed 2-weeks of modified-Constraint-Induced Movement Therapy followed by 2-weeks of Wii-based Movement Therapy after a mean interval of 9.6±1.1 months (range 6-19months). Function was assessed at 6 time points (i.e. before and after each therapy program and 6-month follow-up after each program). Primary outcome measures were the Wolf Motor Function Test timed-tasks (WMFT-tt), upper-limb Fugl-Meyer Assessment (F-M) and the Motor Activity Log Quality of Movement Scale (MALQOM). Improvement and maintenance was analyzed using Paired T-Tests and Wilcoxon Signed Rank Tests.

RESULTS

Upper-limb function significantly improved on all primary outcome measures with the first therapy program (WMFT-tt p=0.008, F-M p=0.007 and MALQOM p<0.0001). All scores continued to improve with the second therapy program with significant improvements in the F-M (p=0.048) and the MALQOM (p=0.001).

CONCLUSIONS

All patients showed a pattern of continued improvement in upper-limb motor-function and independence in activities of daily living. These improvements demonstrate the benefit of ongoing post-stroke rehabilitation for community-dwelling stroke survivors for individuals of varying baseline functional status.

A Prototype of an Electronic Pegboard Test to Measure Hand-Time Dexterity with Impaired Hand Functionality

This paper proposes an electronic prototype of the Grooved Pegboard Test (GPT), which is normally used to test the presence of hand dexterity. The prototype imitates the geometrical dimensions of an on-the-market GPT device, but it is electronic, not manual like the one available now for users. The suggested electronic GPT device makes automated time calculation between placing the first and the last peg in their designated locations, instead of manually observing a stopwatch normally used during the GPT. The electronic GPT prototype consists of a fabricated wooden box, electronics (switches and microcontroller), and liquid crystal display (LCD). A set of 40 normal volunteers, 20 females and 20 males, tested the designed prototype. A set of six volunteers with chronic medical conditions also participated in evaluating the proposed model. The results on normal volunteers showed that the proposed electronic GPT device yielded time calculations that match the population mean value of similar calculations by the GPT device. The one-sample t-test showed no significant difference in calculations between the new electronic GPT and the manual GPT device. The p-value was much higher than 0.05, indicating the possible use of the suggested electronic GPT device.

Uncertainty in illness and coping styles: Moderating and mediating effects of resilience in stroke patients

BACKGROUND

Stroke has a great influence on the patient’s mental health, and reasonable psychological adjustment and disease perception can promote the recovery of mental health.

AIM

To explore the relationships among resilience, coping style, and uncertainty in illness of stroke patients.

METHODS

A retrospective study was used to investigate 154 stroke patients who were diagnosed and treated at eight medical institutes in Henan province, China from October to December 2019. We used the Mishel Uncertainty in Illness Scale, the Connor-Davidson Resilience Scale, and the Medical Coping Modes Questionnaire to test the uncertainty in illness, resilience, and coping style, respectively.

RESULTS

Resilience had a significant moderating role in the correlation between coping style and unpredictability and information deficiency for uncertainty in illness (P < 0.05). Further, the tenacity and strength dimensions of resilience mediated the correlation between the confrontation coping style and complexity, respectively (P < 0.05). The strength dimension of resilience mediated the correlation between an avoidance coping style and the unpredictability of uncertainty in illness (P < 0.05), as well as correlated with resignation, complexity, and unpredictability (P < 0.05).

CONCLUSION

Resilience has moderating and mediating roles in the associations between coping style and uncertainty in illness, indicating that it is vital to improve resilience and consider positive coping styles for stroke patients in the prevention and control of uncertainty in illness.

Sensor-based categorization of upper limb performance in daily life of persons with and without neurological upper limb deficits

Background: The use of wearable sensor technology (e. g., accelerometers) for tracking human physical activity have allowed for measurement of actual activity performance of the upper limb (UL) in daily life. Data extracted from accelerometers can be used to quantify multiple variables measuring different aspects of UL performance in one or both limbs. A limitation is that several variables are needed to understand the complexity of UL performance in daily life.

Purpose: To identify categories of UL performance in daily life in adults with and without neurological UL deficits.

Methods: This study analyzed data extracted from bimanual, wrist-worn triaxial accelerometers from adults from three previous cohorts (N = 211), two samples of persons with stroke and one sample from neurologically intact adult controls. Data used in these analyses were UL performance variables calculated from accelerometer data, associated clinical measures, and participant characteristics. A total of twelve cluster solutions (3-, 4-, or 5-clusters based with 12, 9, 7, or 5 input variables) were calculated to systematically evaluate the most parsimonious solution. Quality metrics and principal component analysis of each solution were calculated to arrive at a locally-optimal solution with respect to number of input variables and number of clusters.

Results: Across different numbers of input variables, two principal components consistently explained the most variance. Across the models with differing numbers of UL input performance variables, a 5-cluster solution explained the most overall total variance (79%) and had the best model-fit.

Conclusion: The present study identified 5 categories of UL performance formed from 5 UL performance variables in cohorts with and without neurological UL deficits. Further validation of both the number of UL performance variables and categories will be required on a larger, more heterogeneous sample. Following validation, these categories may be used as outcomes in UL stroke research and implemented into rehabilitation clinical practice.