Peripheral magnetic theta burst stimulation to muscles can effectively reduce spasticity: a randomized controlled trial.

BACKGROUND: Spasticity is a common complication of many neurological diseases and despite contributing much disability; the available therapeutic options are limited. Peripheral magnetic stimulation is one promising option. In this study, we investigated whether peripheral intermittent theta burst stimulation (piTBS) will reduce spasticity when applied directly on spastic muscles. METHODS: In this sham-controlled study, eight successive sessions of piTBS were applied directly to spastic muscles with supra threshold intensity. Assessment was done by modified Ashworth scale (mAS) and estimated Botulinum toxin dose (eBTD) at baseline and after the 8th session in both active and sham groups. RESULTS: A total of 120 spastic muscles of 36 patients were included in the analysis. Significant reduction of mAS and eBTD was found in the active compared to sham group (p < 0.001). The difference in mAS was also significant when tested in upper limb and lower limb subgroups. The degree of reduction in mAS was positively correlated with the baseline scores in the active group. CONCLUSION: piTBS could be a promising method to reduce spasticity and eBTD. It consumes less time than standard high frequency protocols without compromising treatment efficacy. TRIAL REGISTRATION: Clinical trial registry number: PACTR202009622405087. Retrospectively Registered 14th September, 2020.

Validation of the Mini-Addenbrooke's Cognitive Examination in Mild Cognitive Impairment in Arabic Speakers.

INTRODUCTION: Mild cognitive impairment (MCI) represents a target for early detection and intervention in dementia, yet there is a shortage of validated screening tools in Arabic to diagnose MCI. The mini-Addenbrooke's Cognitive Examination (m-ACE) is a brief cognitive battery that is scored out of 30 and can be administered in under 5 min providing a quick screening tool for assessment of cognition. OBJECTIVE: We aimed to validate the m-ACE in Arabic speakers in Egypt with MCI to provide cut-off scores. METHODS: We included 24 patients with MCI and 52 controls and administered the Arabic version of the m-ACE. RESULTS: There was a statistically significant difference (p < 0.0001) on the total m-ACE score between MCI patients (mean 18.54, SD 3.05) and controls (mean 24.54, SD 2.68). There was also a statistically significant difference between MCI patients and controls on the total score and the fluency, visuospatial, and memory recall sub-scores of the m-ACE (p < 0.05). Performance on the m-ACE significantly correlated with both the Mini-Mental State Examination (MMSE) and the Addenbrooke's Cognitive Examination-III (ACE-III). Using a receiver operator characteristic curve, the optimal cut-off score for MCI on the m-ACE total score was 21 out of 30 (87.5% sensitivity, 84.6% specificity, and 85.5% accuracy). CONCLUSIONS: We validated the Arabic m-ACE in Egyptian patients with MCI and provided objective validation of it as a screening tool for MCI, with good sensitivity, specificity, and accuracy that is comparable to other translated versions of the m-ACE in MCI.

Awareness and attitude of healthcare workers towards Telehealth in Cairo, Egypt.

BACKGROUND: Telehealth is delivering health care services remote from health-care facilities using telecommunications. Egypt is aiming for Universal Health Coverage; this increases the demand for telehealth in routine health services. OBJECTIVE: To measure the awareness of telehealth health care workers of primary health care units and to evaluate the effect of an orientation programme on primary health care workers' awareness and acceptance of the application of telehealth. METHODOLOGY: This was an intervention study amongst health care workers. A self-administrated valid questionnaire for health care workers was designed, the questionnaire consists of different domains of knowledge in addition to advantages, disadvantages, security and necessity perceptions. Each domain consists of Likert scale questions of 5 points. The questions were scored as the worst answer (1) and the best (5). A total of 109 questionnaires were filled by participants who spent at least 6 months in primary health care units. Then the health care workers attended an orientation programme and the questionnaire was re-filled once more. A total of 104 was recollected. Ethical issues were considered. RESULTS: 50.5% of the health care workers were aware of telehealth; 66.7% of health care workers with master's degree were aware of telehealth in comparison to 31.8% amongst those with a diploma, 64.3% of physicians were aware of telehealth, while 29.6 of nurses were aware [Correction added on 08 April 2021 after first online publication: '9.6%' has been amended to '29.6%' in the preceding sentence]. The score of knowledge and attitude increased from 130 ± 23.538 to 156.49 ± 18.456 after the educational programme. CONCLUSION: Half of the health care workers were aware of telehealth; the orientation improved the Healthcare Workers' knowledge and attitude.

Design of a Data Glove for Assessment of Hand Performance Using Supervised Machine Learning.

The large number of poststroke recovery patients poses a burden on rehabilitation centers, hospitals, and physiotherapists. The advent of rehabilitation robotics and automated assessment systems can ease this burden by assisting in the rehabilitation of patients with a high level of recovery. This assistance will enable medical professionals to either better provide for patients with severe injuries or treat more patients. It also translates into financial assistance as well in the long run. This paper demonstrated an automated assessment system for in-home rehabilitation utilizing a data glove, a mobile application, and machine learning algorithms. The system can be used by poststroke patients with a high level of recovery to assess their performance. Furthermore, this assessment can be sent to a medical professional for supervision. Additionally, a comparison between two machine learning classifiers was performed on their assessment of physical exercises. The proposed system has an accuracy of 85% (±5.1%) with careful feature and classifier selection.

Validation of the Egyptian-Arabic Version of the Addenbrooke's Cognitive Examination III (ACE-III) in Diagnosing Dementia.

INTRODUCTION: The Addenbrooke's Cognitive Examination III (ACE-III) (2012) is a brief cognitive battery that assesses five sub-domains of cognition (attention and orientation, memory, verbal fluency, language, and visuospatial abilities) which are commonly impaired in dementia. OBJECTIVE: We aimed to validate the Egyptian-Arabic ACE-III in dementia patients, and to provide cut-off scores for the ACE-III in diagnosing dementia in Egyptian-Arabic speakers. METHODS: We included 37 patients with dementia (Alzheimer's disease, n = 25, vascular dementia, n = 8, and dementia with Lewy bodies, n = 4) and 43 controls. RESULTS: There was a statistically significant difference (p < 0.001) in the total ACE-III score between dementia patients (mean 49.81 ± 18.58) and controls (mean 84.84 ± 6.36). There was also a statistically significant difference between dementia patients and controls in all sub-score domains of the ACE-III (p < 0.001). Using a receiver operator characteristic curve, the optimal cut-off score for dementia on the ACE-III total score was 72, (89% sensitivity, 95% specificity, 92% accuracy). CONCLUSIONS: The results of this study provide objective validation of the Egyptian-Arabic version of the ACE-III as a screening tool for dementia, with high sensitivity, specificity, and accuracy comparable to other translated versions of the ACE-III.

Validation of the Addenbrooke's Cognitive Examination-III in Mild Cognitive Impairment in Arabic Speakers in Egypt.

BACKGROUND AND AIMS: Mild cognitive impairment (MCI) represents an important point on the pathway to developing dementia and a target for early detection and intervention. There is a shortage of validated cognitive screening tools in Arabic to diagnose MCI. The aim of this study was to validate Addenbrooke's Cognitive Examination-III (ACE-III) (Egyptian-Arabic version) in a sample of patients with MCI, to provide cut-off scores in Egyptian-Arabic speakers. METHODS: A total of 24 patients with MCI and 54 controls were included in the study and were administered the Egyptian-Arabic version of the ACE-III. RESULTS: There was a statistically significant difference (p < 0.001) in the total ACE-III score between MCI patients (mean 75.83, standard deviation (SD) 8.1) and controls (mean 86.26, SD 6.74). There was also a statistically significant difference between MCI patients and controls in the memory, fluency, and visuospatial sub-scores of the ACE-III (p < 0.05) but not in attention and language sub-scores. Using a receiver operator characteristic curve, the optimal cut-off score for diagnosing MCI on the ACE-III total score was 81, with 75% sensitivity, 82% specificity, and 80% accuracy. CONCLUSIONS: The results of this study provide objective validation of the Egyptian-Arabic version of the ACE-III as a screening tool for MCI, with good sensitivity, specificity, and accuracy that are comparable to other translated versions of the ACE-III in MCI.

Adaptation and Validation of the Mini-Addenbrooke's Cognitive Examination in Dementia in Arabic Speakers in Egypt.

BACKGROUND: The mini-Addenbrooke's Cognitive Examination (m-ACE) is a brief cognitive battery that assesses 5 subdomains of cognition (attention, memory, verbal fluency, visuospatial abilities, and memory recall). It is scored out of 30 and can be administered in under 5 min providing a quick screening tool for assessment of cognition. OBJECTIVES: We aimed to adapt the m-ACE in Arabic speakers in Egypt and to validate it in dementia patients to provide cutoff scores. METHODS: We included 37 patients with dementia (Alzheimer's disease [n = 25], vascular dementia [n = 8], and dementia with Lewy body [n = 4]) and 43 controls. RESULTS: There was a statistically significant difference (p < 0.001) on the total m-ACE score between dementia patients (mean 10.54 and standard deviation [SD] 5.83) and controls (mean 24.02 and SD 2.75). There was also a statistically significant difference between dementia patients and controls on all sub-score domains of the m-ACE (p < 0.05). Performance on the m-ACE significantly correlated with both the Mini-Mental State Examination (MMSE) and the Addenbrooke's Cognitive Examination-III (ACE-III). Using a receiver operator characteristic curve, the optimal cutoff score for dementia on the m-ACE total score was found to be 18 (92% sensitivity, 95% specificity, and 94% accuracy). CONCLUSIONS: We adapted the m-ACE in Arabic speakers in Egypt and provided objective validation of it as a screening tool for dementia, with high sensitivity, specificity, and accuracy.

Stroke Patients' Status Post-Acute Phase of Illness. How Is It and How Ought It to Be: Ain Shams University Experience.

BACKGROUND: Stroke is a leading cause of disability worldwide with a great impact on quality of life. Ain Shams University Hospital is a tertiary center for neurology and a pioneer in offering comprehensive stroke service in the region. METHODS: A cross sectional study in which an 8 domains questionnaire was applied to all cerebrovascular stroke patients who were admitted to the stroke unit of the neurology department of Ain Shams University Hospital in the period from January 2016 till May 2017, with the aim to define pitfalls in post discharge. RESULTS: From our study show that 20% of all patients discharged from acute stroke unit did not have further follow up with any stroke doctor. Moreover, 60% of patients were not seen by a physiotherapist after discharge, including almost half of patients with moderate or severe disability on discharge who are expected to have ongoing care needs. Patients who developed stroke complications were more likely to seek follow up. As expected, continuous follow up was associated with increased adherence to secondary preventive medications. CONCLUSIONS: Patient needs should be assessed before patient discharge and patient and care givers should have clear written information on required follow up with stroke doctors, and arrangements made for receiving adequate rehabilitation post discharge.

Role of virtual reality in examining the effect of fear of falling (FOF) on postural stability in individuals without and with Parkinson's disease in Egypt: a mixed-methods feasibility study protocol.

BACKGROUND: Falls are common in older people and individuals with neurological conditions. Parkinson's disease (PD) is known for postural instability causing mobility disabilities, falls and reduced quality of life. The fear of falling (FOF), a natural response to unstable balance, can worsen postural control problems. Evaluating FOF relies largely on affected persons' subjective accounts due to limited objective assessment methods available. The aim of this mixed-methods feasibility study is to develop an assessment method for FOF while in motion and walking within virtual environments. This study will assess a range of FOF-related responses, including cognitive factors, neuromuscular response and postural stability. METHODS AND ANALYSIS: This feasibility study will consist of four phases: the first two phases will include people without PD, while the other two will include people diagnosed with PD. Participants will be assessed for direct and indirect responses to real life, as well as virtual environment walking scenarios that may induce FOF. Data from questionnaires, different neurophysiological assessments, movement and gait parameters, alongside evaluations of usability and acceptability, will be collected. Semistructured interviews involving both participants and research assistants shall take place to elicit their experiences throughout different phases of the assessments undertaken. Demographic data, the scores of assessment scales, as well as feasibility, usability and acceptability of the measurement methods, will be illustrated via descriptive statistics. Movement and gait outcomes, together with neurophysiological data, will be extracted and calculated. Exploring relationships between different factors in the study will be achieved using a regression model. Thematic analysis will be the approach used to manage qualitative data. ETHICS AND DISSEMINATION: This feasibility study was approved by the Ethics Committee of the Faculty of Physical Therapy, Kafr El Sheikh University, Egypt (number: P.T/NEUR/3/2023/46). The results of this study will be published in a peer-reviewed journal. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT05931692).

Geographically distributed data management to support large-scale data analysis.

Nowadays, several companies prefer storing their data on multiple data centers with replication for many reasons. The data that spans various data centers ensures the fastest possible response time for customers and workforces who are geographically separated. It also provides protecting the information from the loss in case a single data center experiences a disaster. However, the amount of data is increasing at a rapid pace, which leads to challenges in storage, analysis, and various processing tasks. In this paper, we propose and design a geographically distributed data management framework to manage the massive data stored and distributed among geo-distributed data centers. The goal of the proposed framework is to enable efficient use of the distributed data blocks for various data analysis tasks. The architecture of the proposed framework is composed of a grid of geo-distributed data centers connected to a data controller (DCtrl). The DCtrl is responsible for organizing and managing the block replicas across the geo-distributed data centers. We use the BDMS system as the installed system on the distributed data centers. BDMS stores the big data file as a set of random sample data blocks, each being a random sample of the whole data file. Then, DCtrl distributes these data blocks into multiple data centers with replication. In analyzing a big data file distributed based on the proposed framework, we randomly select a sample of data blocks replicated from other data centers on any data center. We use simulation results to demonstrate the performance of the proposed framework in big data analysis across geo-distributed data centers.

Awareness and attitude of primary healthcare patients towards telehealth in Cairo, Egypt.

BACKGROUND: Telehealth is delivering health care services remotely from healthcare facilities using telecommunications and virtual technology. Egypt is aiming to reach Universal Health Coverage; this increases the demand for telehealth in routine health services. Telehealth helps in increasing access to areas with no available medical services as patients can be monitored remotely. OBJECTIVE: To measure the awareness of telehealth among attendees of primary health care units and their acceptance of applying telehealth. METHODOLOGY: This was a cross-sectional study among attendees of primary health units. Ethical issues were considered. RESULTS: A sample size was calculated to be 162 and 170 valid Arabic interview questionnaires were filled by attendees. The awareness percentage of telehealth among attendees was 64.7% while the willingness to implement telehealth was 78%. Both awareness and willingness were significantly associated with age groups, residence, socioeconomic status, and presence of computer with internet access. Age, residence, and possession of a PC were the only adjusted predictive factors for knowledge about telehealth among patients in the multivariable analysis. CONCLUSION: Large percentages of attendees to primary health care centers are aware of telehealth and are willing to implement it. The major cause of refusal to implement telehealth was ignorance of using telecommunication devices and the desire to be in close contact with the physicians.

Design and Implementation of a Wireless Medical Robot for Communication Within Hazardous Environments.

The huge spreading of COVID-19 viral outbreak to several countries motivates many of the research institutions everywhere in numerous disciplines to try decreasing the spread rate of this pandemic. Among these researches are the robotics with different payloads and sensory devices with wireless communications to remotely track patients' diagnosis and their treatment. That is, it reduces direct contact between the patients and the medical team members. Thus, this paper is devoted to design and implement a prototype of wireless medical robot (MR) that can communicate between patients and medical consultants. The prototype includes the modelling of a four-wheeled MR using systems' identification methodology, from which the model is utilized in control design and analysis. The required controller is designed using the proportional-integral-derivative (PID) and Fuzzy logic (FLC) techniques. The MR is equipped onboard with some medical sensors and a camera to acquire vital signs and physical parameters of patients. The MR model is obtained via an experimental test with input/output signals in open-loop configuration as single-input-single-output from which the estimation and validation results demonstrate that the identified model possess about 89% of the output variation/dynamics. This model is used for controllers' design with PID and FLC, the response of which is good for heading angle tracking. Concerning the medical measurements, more than two thousand real recorded Photo-plethysmography (PPG) signals and Blood Pressure (BP) are used to find the appropriate BP estimation model. Towards this objective, some experiments are designed and conducted to measure the PPG signal. Finally, the BP is estimated with mean absolute error of about 4.7 mmHg in systolic and 4.8 mmHg in diastolic using Artificial Neural Network.

Navigated perilesional transcranial magnetic stimulation can improve post-stroke visual field defect: A double-blind sham-controlled study.

BACKGROUND: Visual field defects (VFD) usually do not show improvement beyond 12 weeks from their onset. It has been shown that repetitive presentation of a stimulus to areas of residual vision in cases of visual field defect can improve vision. The counterpart of these areas in the brain are the partially damaged brain regions at the perilesional areas where plasticity can be enhanced. OBJECTIVE: We aimed to study the effect of navigated repetitive transcranial magnetic stimulation (rTMS) applied to perilesional areas on the recovery of patients with cortical VFD. METHODS: Thirty-two patients with cortical VFD secondary to stroke of more than 3 months duration received 16 sessions of either active or sham high frequency navigated perilesional rTMS. Automated perimetry and visual functioning questionnaire (VFQ-25) were performed at baseline and after completion of the sessions. RESULTS: The active group showed significant improvement after intervention, compared to the sham group, in both mean deviation (MD), visual field index (VFI) and in the VFQ-25 scores. CONCLUSIONS: Navigated rTMS is a new treatment option for post-stroke VFD as it can selectively stimulate areas of residual vision around the infarcted tissue, improving the threshold of visual stimulus detection which could be used alone or in combination with existing therapies.

Effects of age, education, and gender on verbal fluency in healthy adult Arabic-speakers in Egypt.

The objective of this study is to establish the effects of age, gender, and education and to provide preliminary normative data for letter and category fluency tasks in the Egyptian Arabic-speaking population. We evaluated 139 cognitively healthy volunteers aged 20-93 by adapting the letter and category verbal fluency tasks for the Egyptian population. On the letter fluency task, mean number of words generated in one-minute beginning with the Arabic letter "Sheen" (pronounced "sh") was 8.14 words per minute (SD = 3.25). Letter fluency was significantly influenced by education. On category fluency tasks, mean number of animal names generated in one minute was 14.63 words (SD = 5.28). Category fluency was significantly influenced by age and education. We were able identify that age significantly affects category fluency while education significantly affected both letter and category fluency. We were also able to provide preliminary normative data for both tasks in the Egyptian population.

Arabic cross cultural adaptation and validation of the National Institutes of Health Stroke Scale.

INTRODUCTION: The National Institutes of Health Stroke Scale (NIHSS), the most commonly used tool to quantify neurological deficit in acute stroke, was initially developed in English. We present our experience in developing and validating an Arabic version of the NIHSS (arNIHSS). RESULTS: In 6months, 137 patients were recruited (mean age±standard deviation 62±12years; 48 women). For interrater agreement, weighted kappa value ranged from 0.36 to 0.66 and intraclass correlation coefficient (ICC) for the whole scale was excellent at 0.95 (95% confidence interval [CI] 0.94-0.97). For intrarater agreement, weighted kappa ranged from 0.52 to 1.0 and the ICC was 0.94 (95% CI 0.87-0.98). The construct validity of the arNIHSS is demonstrated by its correlation with the DWI-ASPECT and the 3months mRS score (Spearman correlation -0.46 and 0.58 respectively; P<0.001 for both). CONCLUSION: We developed and validated a culturally adapted Arabic version of the NIHSS. Further validation in other Arab countries is recommended.

MRI can Predict the Response to Therapeutic Repetitive Transcranial Magnetic Stimulation (rTMS) in Stroke Patients.

BACKGROUND: Previous studies suggest that purposeful modulation of excitability by up regulation in primary motor area (M1) in the lesioned hemisphere or down regulation of excitability in M1 intact hemisphere can influence function in the paretic hand.. OBJECTIVES: 1- To determine if magnetic resonance imaging (MRI) delineation of lesion has an impact on the modality and site of rTMS stimulation, and 2- To determine whether MRI can predict the degree of recovery of motor function after rTMS treatment. METHODS: A total of 60 ischemic stroke patients were recruited. Physical examination, mini mental state examination, activities of daily living assessment, motor subscale of the activity index (AI) and fine hand movement assessment were performed initially and then 2 weeks later (after the end of therapeutic course), then at 4, 8, and 12 weeks. MRI was performed for all patients and used to localize the site and extent of lesion. The patients were divided to 3 group consisting of 20 patients each: group 1 received repetitive rTMS 5hz at 90% motor threshold for 2.5min on the infarcted hemisphere, group 2 received rTMS 1hz at 110% motor threshold for 2.5min on the intact hemisphere, and group 3 received sham stimulation. All patients received standard physical therapy following each rTMS session. RESULTS: Patients with total anterior circulation stroke demonstrated on MRI showed no significant improvement when compared to those with partial anterior circulation, lacunar or posterior circulation strokes. The patients with cortical strokes experienced less improvement when compared with those with subcortical strokes especially with 1 hz stimulation to intact hemisphere. CONCLUSION: MRI can help predict the response to rTMS for stroke rehabilitation and assist the clinician choose the mode and site of rTMS application.