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In the last two decades, a growing interest has been focused on gait and balance robot-assisted rehabilitation in children with neurological disabilities. Robotic devices allow the implementation of intensive, task-specific training fostering functional recovery and neuroplasticity phenomena. However, limited attention has been paid to the protocols used in this research framework. This systematic review aims to provide an overview of the existing literature on robotic systems for the rehabilitation of gait and balance in children with neurological disabilities and their rehabilitation applications. The literature search was carried out independently and synchronously by three authors on the following databases: MEDLINE, Cochrane Library, PeDro, Institute of Electrical and Electronics Engineers, ScienceDirect, and Google Scholar. The data collected included three subsections referring to clinical, technical, and regulatory aspects. Thirty-one articles out of 81 found on the primary literature search were included in the systematic review. Most studies involved children with cerebral palsy. Only one-third of the studies were randomized controlled trials. Overall, 17 devices (nine end-effector systems and eight exoskeletons) were investigated, among which only 4 (24%) were bore the CE mark. Studies differ on rehabilitation protocols duration, intensity, and outcome measures. Future research should improve both rehabilitation protocols' and devices' descriptions. [ABSTRACT FROM AUTHOR]

Objectives: The aim of this study was to compare the impact of fast-track rehabilitation (FTR) and conventional rehabilitation (CR) on early recovery pattern after fast-track surgery for knee arthroplasty and conventional total knee arthroplasty (TKA). Patients and methods: This prospective, case-control study included a total of 43 adult patients (10 males, 33 females; mean age 69 years; range, 50 to 82 years) who were clinically stable and admitted for rehabilitation after fast-track surgery for knee arthroplasty or conventional TKA January 2016 and August 2016. The patients were divided into two groups as the FTR and CR treatment groups. The FTR program was designed as a patient-focused care, early mobilization, and standardized postoperative milestones. The CR program was designed by standard postoperative rehabilitation care. Primary outcomes were the length of stay (LOS) in the hospital and knee function. Secondary outcomes were pain and activities of daily living. Results: At baseline, both groups were similar in terms of demographic data and primary outcomes. At discharge, intra-group analysis showed significant differences in both groups in all functional outcomes, except for pain, while the inter-group LOS was also significantly different (p<0.001). Conclusion: Our study results indicate that LOS can be reduced by FTR, yielding the same results in functional recovery and autonomy as CR. [ABSTRACT FROM AUTHOR]

Background: The majority of stroke survivors experiences significant hand impairments, as weakness and spasticity, with a severe impact on the activity of daily living. To objectively evaluate hand deficits, quantitative measures are needed. The aim of this study is to assess the reliability, the validity and the discriminant ability of the instrumental measures provided by a robotic device for hand rehabilitation, in a sample of patients with subacute stroke.Material and Methods: In this study, 120 patients with stroke and 40 controls were enrolled. Clinical evaluation included finger flexion and extension strength (using the Medical Research Council, MRC), finger spasticity (using the Modified Ashworth Scale, MAS) and motor control and dexterity during ADL performance (by means of the Frenchay Arm Test, FAT). Robotic evaluations included finger flexion and extension strength, muscle tone at rest, and instrumented MAS and Modified Tardieu Scale. Subjects were evaluated twice, one day apart, to assess the test-retest reliability of the robotic measures, using the Intraclass Correlation Coefficient (ICC). To estimate the response stability, the standard errors of measurement and the minimum detectable change (MDC) were also calculated. Validity was assessed by analyzing the correlations between the robotic metrics and the clinical scales, using the Spearman's Correlation Coefficient (r). Finally, we investigated the ability of the robotic measures to distinguish between patients with stroke and healthy subjects, by means of Mann-Whitney U tests.Results: All the investigated measures were able to discriminate patients with stroke from healthy subjects (p < 0.001). Test-retest reliability was found to be excellent for finger strength (in both flexion and extension) and muscle tone, with ICCs higher than 0.9. MDCs were equal to 10.6 N for finger flexion, 3.4 N for finger extension, and 14.3 N for muscle tone. Conversely, test-retest reliability of the spasticity measures was poor. Finally, finger strength (in both flexion and extension) was correlated with the clinical scales (r of about 0.7 with MRC, and about 0.5 with FAT).Discussion: Finger strength (in both flexion and extension) and muscle tone, as provided by a robotic device for hand rehabilitation, are reliable and sensitive measures. Moreover, finger strength is strongly correlated with clinical scales. Changes higher than the obtained MDC in these robotic measures could be considered as clinically relevant and used to assess the effect of a rehabilitation treatment in patients with subacute stroke. [ABSTRACT FROM AUTHOR]

Background: We evaluated the effectiveness of robot-assisted motion and activity in additional to physiotherapy (PT) and occupational therapy (OT) on stroke patients with hand paralysis. Methods: A randomized controlled trial was conducted. Thirty-two patients, 34.4% female (mean ± SD age: 68.9 ± 11.6 years), with hand paralysis after stroke participated. The experimental group received 30 minutes of passive mobilization of the hand through the robotic device Gloreha (Brescia, Italy), and the control group received an additional 30 minutes of PT and OT for 3 consecutive weeks (3 d/wk) in addition to traditional rehabilitation. Outcomes included the National Institutes of Health Stroke Scale (NIHSS), Modified Ashworth Scale, Barthel Index (BI), Motricity Index (MI), short version of the Disabilities of the Arm, Shoulder and Hand (QuickDASH), and the visual analog scale (VAS) measurements. All measures were collected at baseline and end of the intervention (3 weeks). Results: A significant effect of time interaction existed for NIHSS, BI, MI, and QuickDASH, after stroke immediately after the interventions (all, P < .001). The experimental group had a greater reduction in pain compared with the control group at the end of the intervention, a reduction of 11.3 mm compared with 3.7 mm, using the 100-mm VAS scale. Conclusions: In the treatment of pain and spasticity in hand paralysis after stroke, robot-assisted mobilization performed in conjunction with traditional PT and OT is as effective as traditional rehabilitation. [ABSTRACT FROM AUTHOR]

Purpose: We evaluated the effectiveness of intrapulmonary percussive ventilation (IPV) compared to traditional standard chest physical therapy (CPT) in patients with chronic obstructive pulmonary disease (COPD) and productive cough. Methods: We conducted a quasi-experimental clinical trial. Twenty patients, 40% female (mean ± SD age: 70 ± 8 years), with COPD and productive cough received a multimodal respiratory treatment including IPV and CPT or a control intervention CPT for 10 days. Outcomes: PImax, PEmax, heart rate, respiratory rate, SBP, DBP, Likert scale, Borg dyspnea scale and arterial blood gas analysis: PO2, PCO2, pH, HCO3 and SpO2 measurements. All measures were collected at baseline and at the end of the intervention. We used repeated ANOVA to examine the effects of interventions within groups, between-subjects and the within-subjects. Results: A significant effect of time interaction ( F = 7.27; p = 0.015, F = 6.16; p = 0.02 and F = 7.41; p = 0.014) existed for PO2, SpO2 and dyspnea over the moderate COPD and productive cough immediately after the intervention (all, p < 0.02). Both treatments are similarly effective in PImax and PEmax. No significant group effect or group-by-time interaction was detected for any of them, which suggests that both groups improved in the same way. Conclusions: This study provides evidence that a short-term combination of IPV and CPT improves PO2, SpO2 and perceived dyspnea than a traditional standard CPT in patients with COPD and productive cough. [ABSTRACT FROM AUTHOR]

Background: In Italy, longstanding limitations in the existing reporting system of the inpatient rehabilitation activities have been reported. The Hospital Discharge form (HDF) primarily uses ICD codes that inadequately capture the functional status and rehabilitation needs of patients, impacting equity of care and service evaluation. Therefore, the Italian Ministry of Health (IMH) launched an initiative aimed at developing a new reporting system to be specifically adopted in the inpatient rehabilitation setting., Methods: A working group (WG), lead by representatives of IMH, was established in 2019. It included members of scientific societies and professional associations in rehabilitation, administrators, policy makers, and other experts. Representatives of the Associations of Patients and Families were also consulted. The WG submitted the new version of the HDF to the political decision makers in early 2020. It includes detailed data on patients' functional levels before and after rehabilitation, and the complexity of clinical conditions. In using the ICD codes, priority is given to functional diagnoses., Results: In 2023, after a period of interruption due to the COVID-19 pandemic, a Ministry of Health Decree sanctioned the adoption of the new reporting system nationwide after a one-year trial period, starting on January 2024., Conclusions: The new HDF is expected to improve data collection, reduce local and regional disparities, allow better comparison of the performances of the structures, and ultimately enhance the quality and outcomes of rehabilitation care across the country. The Italian Society of Physical and Rehabilitation Medicine (SIMFER) gave an important contribution in the development of the system.

The state of the art is still lacking an extensive analysis of which clinical characteristics are leading to better outcomes after robot-assisted rehabilitation on post-stroke patients. Prognostic machine learning-based models could promote the identification of predictive factors and be exploited as Clinical Decision Support Systems (CDSS). For this reason, the aim of this work was to set the first steps toward the development of a CDSS, by the development of machine learning models for the functional outcome prediction of post-stroke patients after upper-limb robotic rehabilitation. Four different regression algorithms were trained and cross-validated using a nested 5×10-fold cross-validation. The performances of each model on the test set were provided through the Median Average Error (MAE) and interquartile range. Additionally, interpretability analyses were performed, to evaluate the contribution of the features to the prediction. The results on the two best performing models showed a MAE of 13.6 [13.4] and 13.3 [14.8] on the Modified Barthel Index score (MBI). The interpretability analyses highlighted the Fugl-Meyer Assessment, MBI, and age as the most relevant features for the prediction of the outcome. This work showed promising results in terms of outcome prognosis after robot-assisted treatment. Further research should be planned for the development, validation and translation into clinical practice of CDSS in rehabilitation. Clinical relevance- This work establishes the premises for the development of data-driven tools able to support the clinical decision for the selection and optimisation of the robotic rehabilitation treatment.

Background: Robotic therapy (RT) has been internationally recognized for the motor rehabilitation of the upper limb. Although it seems that RT can stimulate and promote neuroplasticity, the effectiveness of robotics in restoring cognitive deficits has been considered only in a few recent studies., Objective: To verify whether, in the current state of the literature, cognitive measures are used as inclusion or exclusion criteria and/or outcomes measures in robotic upper limb rehabilitation in stroke patients., Methods: The systematic review was conducted according to PRISMA guidelines. Studies eligible were identified through PubMed/MEDLINE and Web of Science from inception to March 2021., Results: Eighty-one studies were considered in this systematic review. Seventy-three studies have at least a cognitive inclusion or exclusion criteria, while only seven studies assessed cognitive outcomes., Conclusion: Despite the high presence of cognitive instruments used for inclusion/exclusion criteria their heterogeneity did not allow the identification of a guideline for the evaluation of patients in different stroke stages. Therefore, although the heterogeneity and the low percentage of studies that included cognitive outcomes, seemed that the latter were positively influenced by RT in post-stroke rehabilitation. Future larger RCTs are needed to outline which cognitive scales are most suitable and their cut-off, as well as what cognitive outcome measures to use in the various stages of post-stroke rehabilitation.

Background: Robot-assisted arm therapy (RAT) has been used mainly in stroke rehabilitation in the last 20 years with rising expectations and growing evidence summarized in systematic reviews (SRs)., Objective: The aim of this study is to provide an overview of SRs about the effectiveness, within the ICF domains, and safety of RAT in the rehabilitation of adult with stroke compared to other treatments., Methods: The search strategy was conducted using search strings adapted explicitly for each database. A screening base on title and abstract was realized to find all the potentially relevant studies. The methodological quality of the included SRs was assessed using AMSTAR-2. A pre-determined standardized form was used to realize the data extraction., Results: 18 SRs were included in this overview. Generally, positive effects from the RAT were found for motor function and muscle strength, whereas there is no agreement for muscle tone effects. No effect was found for pain, and only a SR reported the positive impact of RAT in daily living activity., Conclusion: RAT can be considered a valuable option to increase motor function and muscle strength after stroke. However, the poor quality of most of the included SRs could limit the certainty around the results.

Introduction: There is growing evidence on the efficacy of gait robotic rehabilitation in patients with multiple sclerosis (MS), but most of the studies have focused on gait parameters. Moreover, clear indications on the clinical use of robotics still lack. As part of the CICERONE Italian Consensus on Robotic Rehabilitation, the aim of this systematic review was to investigate the existing evidence concerning the role of lower limb robotic rehabilitation in improving functional recovery in patients with MS., Evidence Acquisition: We searched for and systematically reviewed evidence-based studies on gait robotic rehabilitation in MS, between January 1 st , 2010 and December 31 st , 2020, in the following databases: Cochrane Library, PEDro, PubMed and Google Scholar. The study quality was assessed by the 16-item assessment of multiple systematic reviews 2 (AMSTAR 2) and the 10-item PEDro scale for the other research studies., Evidence Synthesis: After an accurate screening, only 17 papers were included in the review, and most of them (13 RCT) had a level II evidence. Most of the studies used the Lokomat as a grounded robotic device, two investigated the efficacy of end-effectors and two powered exoskeletons. Generally speaking, robotic treatment has beneficial effects on gait speed, endurance and balance with comparable outcomes to those of conventional treatments. However, in more severe patients (EDSS >6), robotics leads to better functional outcomes. Notably, after gait training with robotics (especially when coupled to virtual reality) MS patients also reach better non-motor outcomes, including spasticity, fatigue, pain, psychological well-being and quality of life. Unfortunately, no clinical indications emerge on the treatment protocols., Conclusions: The present comprehensive systematic review highlights the potential beneficial role on functional outcomes of the lower limb robotic devices in people with MS. Future studies are warranted to evaluate the role of robotics not only for walking and balance outcomes, but also for other gait-training-related benefits, to identify appropriate outcome measures related to a specific subgroup of MS subjects' disease severity.

Background: Robot-assisted Arm Therapy (RAT) has been increasingly applied in the last years for promoting functional recovery in patients with disabilities related to neurological health conditions. Evidence of a knowledge-to-action gap for applying robot-assisted technologies in the rehabilitation of patients with neurological health conditions and the difficulty to apply and tailor the knowledge to the local contexts solicited the need for a national consensus conference on these interventions., Aim: The aim of this paper was to explain the methodology used by the working group dedicated to synthesizing evidence on the effectiveness of RAT in neurological health conditions in the context of the CICERONE Italian Consensus Conference., Design: The methodological approach of the working group., Setting: All rehabilitation settings., Population: Patients with disability following a neurological health condition., Methods: Following the indications proposed by the Methodological Manual published by the Italian National Institute of Health, a Promoting Committee and a Technical Scientific Committee have been set up. Six working groups (WGs) have been composed to collect evidence on different questions, among which WG2.2 was focused on the effectiveness of RAT in neurological health conditions., Results: WG2.2 started its work defining the specific research questions. It was decided to adopt the ICF as the reference framework for the reporting of all outcomes. Literature search, data extraction and qualitative assessment, evidence analysis and synthesis have been performed., Conclusions: This paper summarized the methodological approaches used by the WG2.2 of the CICERONE Italian Consensus Conference to define the effectiveness of RAT in the management of patients with neurological health conditions., Clinical Rehabilitation Impact: WG2.2 synthesis might help clinicians, researchers, and all rehabilitation stakeholders to address the use of RAT in the Individualized Rehabilitation Plan, to guide the allocation of resources and define clinical protocols and indications for the management of patients with different neurological health conditions.

Introduction: The rapid development of electromechanical and robotic devices has profoundly influenced neurorehabilitation. Growth in the scientific and technological aspects thereof is crucial for increasing the number of newly developed devices, and clinicians have welcomed such growth with enthusiasm. Nevertheless, improving the standard for the reporting clinical, technical, and normative aspects of such electromechanical and robotic devices remains an unmet need in neurorehabilitation. Accordingly, this study aimed to analyze the existing literature on electromechanical and robotic devices used in neurorehabilitation, considering the current clinical, technical, and regulatory classification systems., Evidence Acquisition: Within the CICERONE Consensus Conference framework, studies on electromechanical and robotic devices used for upper- and lower-limb rehabilitation in persons with neurological disabilities in adulthood and childhood were reviewed. We have conducted a literature search using the following databases: MEDLINE, Cochrane Library, PeDro, Institute of Electrical and Electronics Engineers, Science Direct, and Google Scholar. Clinical, technical, and regulatory classification systems were applied to collect information on the electromechanical and robotic devices. The study designs and populations were investigated., Evidence Synthesis: Overall, 316 studies were included in the analysis. More than half (52%) of the studies were randomised controlled trials (RCTs). The population investigated the most suffered from strokes, followed by spinal cord injuries, multiple sclerosis, cerebral palsy, and traumatic brain injuries. In total, 100 devices were described; of these, 19% were certified with the CE mark. Overall, the main type of device was an exoskeleton. However, end-effector devices were primarily used for the upper limbs, whereas exoskeletons were used for the lower limbs (for both children and adults)., Conclusions: The current literature on robotic neurorehabilitation lacks detailed information regarding the technical characteristics of the devices used. This affects the understanding of the possible mechanisms underlying recovery. Unfortunately, many electromechanical and robotic devices are not provided with CE marks, strongly hindering the research on the clinical outcomes of rehabilitation treatments based on these devices. A more significant effort is needed to improve the description of the robotic devices used in neurorehabilitation in terms of the technical and functional details, along with high-quality RCT studies.