Evaluation of Hand Functions in Hemodialysis Patients

The effect of hand fine motor skills on peritoneal dialysis-related peritonitis

INTRODUCTION

We aimed to evaluate the relationship between the hand fine motor skills of peritoneal dialysis (PD) practitioners and PD-related peritonitis.

METHODS

This multicenter prospective observational study was conducted with 120 incident PD patients. Patients were divided into two groups who had PD-related peritonitis within the first year as Group 1, and those who did not as Group 2. Hand fine motor skills were evaluated by Nine-Hole Peg Test (NHPT) and Nut Screwing Test (NST).

RESULTS

Initial NHPT (28.5 ± 6.0 s vs. 25.8 ± 5.0 s, p = 0.011) and NST (82.3 (61.5-102.8) s versus 65.3 (52.3-88.5) s p = 0.023) scores were significantly higher in Group 1 than Group 2. In multivariate logistic regression analysis, NHPT, Body Mass Index, Mini-Mental Test, self PD practitioner, and catheter complications were found to be independent variables in predicting PD-related peritonitis.

CONCLUSION

Decreased hand fine motor skills of PD patients is a risk factor for peritonitis.

The BE-UJI hand function activity set: a reduced set of activities for the evaluation of the healthy and pathological hand

BACKGROUND

Hand kinematics during hand function tests based on the performance of activities of daily living (ADLs) can provide objective data to determine patients' functional loss. However, they are rarely used during clinical assessments because of their long duration. Starting with the 20 Sollerman Hand Function Test (SHFT) tasks, we propose identifying a reduced set of ADLs that provides similar kinematic information to the original full set in terms of synergies, ranges of motion and velocities.

METHODS

We followed an iterative method with the kinematics of 16 hand joints while performing the 20 ADLs of the SHFT. For each subject, ADLs were ordered according to their influence on the synergies obtained by means of a principal component analysis, the minimum number of ADLs that represented the original kinematic synergies (maximum angle of 30° between synergies), and the maintained ranges of joint movements (85% of the original ones) were selected for each subject. The set of the most frequently selected ADLs was verified to be representative of the SHFT ADLs in terms of motion strategies, ranges of motion and joint velocities when considering healthy subjects and Hand Osteoarthritis patients.

RESULTS

A set of 10 tasks, the BE-UJI activity set, was identified by ensuring a certain (minimum) similarity in synergy (maximum mean angle between synergies of 25.5°), functional joint ranges (maximum differences of 10°) and joint velocities (maximum differences of 15°/s). The obtained tasks were: pick up coins from purses, lift wooden cubes, pick up nuts and turn them, write with a pen, cut with a knife, lift a telephone, unscrew jar lids and pour water from a cup, a jar and a Pure-Pak. These activities guarantee using the seven commonest handgrips in ADLs.

CONCLUSION

The BE-UJI activity set for the hand function assessment can be used to obtain quantitative data in clinics as an alternative to the SHFT. It reduces the test time and allows clinicians to obtain objective kinematic data of the motor strategies, ranges of motion and joint velocities used by patients.

Comparison of Machine Learning Techniques for Activities of Daily Living Classification with Electromyographic Data

Advances in data science and wearable robotic devices present an opportunity to improve rehabilitation outcomes. Some of these devices incorporate electromyography (EMG) electrodes that sense physiological patient activity, making it possible to develop rehabilitation systems able to assess the patient's progress when performing activities of daily living (ADLs). However, additional research is needed to improve the ability to interpret EMG signals. To address this issue, an off-line classification approach for the 26 upper-limb ADLs included in the KIN-MUS UJI dataset is presented in this paper. The ADLs were performed by 22 subjects, while seven EMG signals were recorded from their forearms. From variable-length EMG time windows, 18 features were computed, and 13 features more were extracted from frequency domain windows. The classification performance of five different machine learning techniques, including Support Vector Machines (SVM), Convolutional Neural Networks (CNN), Gated Recurrent Unit (GRU) network, XGBoost, and Random Forests, were compared. CNN performed best amongst individual models, with an accuracy above 80%, compared to SVM with 77%, GRU with 73.9%, and the tree-based models below 64%. Ensemble learning with four CNN models achieved an even higher accuracy of 86%. These results suggest that the CNN ensemble model is capable of classifying EMG signals for most ADLs, which could be used in off-line quantitative assessment of robotic rehabilitation outcomes.

Immediate effects of hemodialysis on upper extremity and cognitive function

BACKGROUND

Subjects undergoing hemodialysis often describe feeling "weak" and "fatigued" after dialysis. This has not previously been quantified. We sought to evaluate upper extremity and cognitive function before and after hemodialysis to see if differences existed and how long recovery takes.

METHODS

Subjects undergoing hemodialysis in an inpatient hospital dialysis unit were recruited. Subjects underwent assessment of upper extremity strength (grip (GS) and pinch (PS)), dexterity (pegboard assembly (PA)), finger sensation (monofilaments), and cognitive function (mini-mental status exam (MMS)) immediately pre- and post-dialysis, 3 h post-dialysis, and the following morning. Both the dialysis (index) and non-dialysis extremities were evaluated. Results were also stratified for fistulas vs. central venous catheters. Patients were dialyzed at the same flow rate and duration.

RESULTS

21 subjects were evaluated, 13 (62%), male, mean age 56 ± 17 years, 15 (71%) diabetic, 15 (71%) fistulas, 6 (29%) central venous catheters. Overall, there were no significant changes in GS, PS, PA, immediately or 3 h after dialysis. MMS was non-significantly reduced 3 h after dialysis (22.8 ± 10.3 vs 27.0 ± 3.5, p = 0.06). PA was significantly improved the following morning (6.4 ± 4.8 assembled units vs 7.5 ± 5.1, p = 0.049). Patients dialyzing through catheters had reduced grip strength 3 h after dialysis compared to fistulas (-4.6 ± 2.7 N from baseline vs 1.4 ± 4.3 N from baseline, p = 0.018) that was resolved by the next day.

CONCLUSIONS

Hemodialysis in hospitalized inpatients does not cause acute objective deficits in upper extremity or cognitive function, with a significant improvement in hand dexterity the day after dialysis.

Hand function assessment in peritoneal dialysis patient: a pilot study

BACKGROUND

There is variability among centres regarding the utilization of assisted peritoneal dialysis (PD). Functional impairment is one of the leading causes of assisted PD. Tools to assess the patient's ability to manipulate PD devices are required. The objective of this study was to evaluate the feasibility of hand function evaluation in PD patients and to test the association between hand function estimation and assisted PD.

METHODS

This was a pilot study of adults treated with PD in a dialysis unit in January 2019. Hand function was evaluated by Purdue Pegboard, Jebsen, Jamar and pinch tests. Relative risks were calculated with a Cox model to evaluate the association between each test and assisted PD.

RESULTS

Among the 43 PD patients included, 16 were autonomous and 27 were assisted in performing dialysis. The Jebsen and Purdue Pegboard tests were completed by 41 patients (95.3%). All patients succeeded in performing the Jamar and pinch tests. The median time to complete all tests was 22 min. After adjustment based on the Charlson comorbidity index, the assembly test of the Purdue Pegboard (RR 0.92 [95% confidence interval (CI) 0.86-0.98]), total Jebsen (RR 1.01 [95% CI 1.00-1.01]) and Jamar test (RR 0.94 [95% CI 0.90-0.99] with the dominant hand; OR 0.94 [95% CI 0.88-0.98] with the non-dominant hand) scores were associated with assisted PD.

CONCLUSION

The evaluation of hand function of PD patients is feasible in daily practice using the Jebsen, Purdue Pegboard, pinch and Jamar tests and may support choosing the appropriate utilization of assisted PD.

Classifying hand sensorimotor functions of the chronic kidney disease patients using novel manual tactile test and pinch-holding-up activity

Hand function deterioration brings about inconvenience to the daily lives of the chronic kidney disease patients. However, a full spectrum of hand function examination is absent. Therefore, this study aimed to classify the hand sensorimotor functions of the chronic kidney disease patients using the novel sensorimotor assessment tools, manual tactile test (MTT) and pinch-holding-up activity (PHUA) test, and explore the feasibility in comparison with traditional evaluations in the clinical practice. 68 stage-5 chronic kidney disease patients and 50 healthy subjects were recruited in this study. A series of conventional evaluations and two novel hand function tools, manual tactile test and pinch-holding-up activity test were conducted from the perspective of hand dexterity, sensory input threshold, force generation and sensorimotor control. Independent t-test was used to find out group differences and the receiver operating characteristic curve was used to determine accuracy of the tests. In our results, significant reduction of hand dexterity, sensory input, force generation and sensorimotor control was found in patients from an overall perspective. This trend was discovered to be the same when dividing the subjects into the old and young age group. From the receiver operator characteristic curves, nearly all the areas under the curve of all tests were over 0.8. The novel evaluation tools, the manual tactile test and pinch-holding-up activity, were found to have comparable or even better accuracy than the traditional ones. The shape and weight subtests of the manual tactile test displayed the highest accuracy. To sum up, by incorporating the novel and conventional assessment tests, this study built up the fundamental understanding of the hand functions in multiple dimensions and consolidate the clinical merits of applying the two novel tools, manual tactile test and pinch-holding-up activity, on chronic kidney disease patients.

Body composition, muscle strength, functional capacity, and physical disability risk in liver transplanted familial amyloidotic polyneuropathy patients

BACKGROUND

Familial amyloidotic polyneuropathy (FAP) is a neurodegenerative disease leading to sensory and motor polyneuropathies, and functional limitations. Liver transplantation is the only treatment for FAP, requiring medication that negatively affects bone and muscle metabolism. The aim of this study was to compare body composition, levels of specific strength, level of physical disability risk, and functional capacity of transplanted FAP patients (FAPTx) with a group of healthy individuals (CON).

METHODS

A group of patients with 48 FAPTx (28 men, 20 women) was compared with 24 CON individuals (14 men, 10 women). Body composition was assessed by dual-energy X-ray absorptiometry, and total skeletal muscle mass (TBSMM) and skeletal muscle index (SMI) were calculated. Handgrip strength was measured for both hands as was isometric strength of quadriceps. Muscle quality (MQ) was ascertained by the ratio of strength to muscle mass. Functional capacity was assessed by the six-minute walk test.

RESULTS

Patients with FAPTx had significantly lower functional capacity, weight, body mass index, total fat mass, TBSMM, SMI, lean mass, muscle strength, MQ, and bone mineral density.

CONCLUSION

Patients with FAPTx appear to be at particularly high risk of functional disability, suggesting an important role for an early and appropriately designed rehabilitation program.

Use of handgrip strength in the assessment of the muscle function of chronic kidney disease patients on dialysis: a systematic review

BACKGROUND

Even though handgrip strength (HGS) is considered a simple and reliable method to evaluate muscle function and, indirectly, the nutritional status in clinical settings, there is still no consensus concerning its use in patients with chronic kidney disease (CKD) undergoing dialysis. This study presents a systematic review of the literature on the use of HGS as a parameter for nutritional assessment and a prognostic marker in patients on dialysis.

METHODS

The MEDLINE database (1966 to October 2009) was consulted for this systematic review by using the search terms hand strength or muscle strength dynamometer and dialysis. Eighteen articles were identified and included in the analysis.

RESULTS

Similar to the general population, HGS values were associated with age and gender. The analysed studies showed correlation between muscle function estimated by HGS and variables used in the assessment of muscle mass and nutritional status, as well as the prediction of clinical complications.

CONCLUSIONS

The analysis indicates that HGS is a useful tool for continuous and systematic assessment of muscle mass related to nutritional status in patients on dialysis. However, it is still necessary to standardize the techniques used for HGS, especially with respect to the position of measurement, the evaluation period, the choice of arm side and the diagnostic criterion.