Background and Purpose-The goal of this study was to assess the specific influence of stroke etiology on rehabilitation results. Methods-This was a case-control study of 270 inpatients with sequelae of first stroke who were enrolled in homogeneous subgroups and matched for stroke severity, basal disability, age (within 1 year), sex, and onset admission interval (within 3 days) who were different only in terms of stroke origin, infarction versus hemorrhage. We compared the groups' length of stay, efficiency and effectiveness of treatment, and percentage of low and high responder patients. Odds ratios of dropouts and of low and high therapeutic response were also quantified. Results-Compared with ischemic patients, hemorrhagic patients had significantly higher Canadian Neurological Scale and Rivermead Mobility Index scores at discharge; higher effectiveness and efficiency on the Canadian Neurological Scale, Barthel Index, and Rivermead Mobility Index; and a higher percentage of high responders on the Barthel Index. Hemorrhagic patients showed a probability of a high therapeutic response on the Barthel Index that was Ϸ2.5 times greater than that of ischemic patients (odds ratio, 2.48; 95% confidence interval, 1.19 to 5.20; accuracy on prediction, 87.06%). Conclusions-The

In this review, we give a brief outline of robot-mediated gait training for stroke patients, as an important emerging field in rehabilitation. Technological innovations are allowing rehabilitation to move toward more integrated processes, with improved efficiency and less long-term impairments. In particular, robot-mediated neurorehabilitation is a rapidly advancing field, which uses robotic systems to define new methods for treating neurological injuries, especially stroke. The use of robots in gait training can enhance rehabilitation, but it needs to be used according to well-defined neuroscientific principles. The field of robot-mediated neurorehabilitation brings challenges to both bioengineering and clinical practice. This article reviews the state of the art (including commercially available systems) and perspectives of robotics in poststroke rehabilitation for walking recovery. A critical revision, including the problems at stake regarding robotic clinical use, is also presented.

Background and Purpose-We sought to assess the specific influence of sex on rehabilitation results. Methods-A case-control study in 440 consecutive patients with sequelae of first ischemic stroke were enrolled in 2 subgroups (males and females) and matched for severity of stroke (evaluated by means of the Canadian Neurological Scale), age (within 1 year), and onset-admission interval (within 3 days). Functional data, evaluated by means of the Barthel Index and the Rivermead Mobility Index, were compared between subgroups. Logistic regressions were used to clarify the role of sex in affecting global autonomy and mobility. Results-After rehabilitation treatment, a sex-related difference was observed essentially in the higher levels of response.Indeed, more men than women reached independence in both stair climbing and activities of daily living (ADL), with a higher response and effectiveness on mobility. In multivariate analyses, male patients had a 3 times higher probability than female patients of good autonomy in both stair climbing and ADL (odds ratio

The analysis of upper-body acceleration is a promising and simple technique to quantitatively assess dynamic gait stability. However, this method has rarely been used for people with stroke, probably because of some technical issues still not addressed. We evaluated the root-mean-square (RMS) and harmonic ratio of trunk accelerations for a group of 15 inpatients with subacute stroke who were able to walk (61.4 +/-14.9 yr) and compared them with those of an age-matched group of nondisabled subjects (65.1 +/-8.8 yr) and those of a highly functional group of young nondisabled subjects (29.0 +/-5.0 yr). Small (<2%) but significant (p < 0.03) differences were found in RMS values obtained by applying the two most common computational approaches: (1) averaging among individual-stride RMS values and (2) computing the RMS value over the entire walking trial without stride partitioning. We found that the intersubject dependency of acceleration RMS values by selected walking speed was specific for each group and for each of the three body axes. The analysis of ratios between these three accelerations provided informative outcomes correlated with clinical scores and not affected by walking speed. Our findings are an important step toward transferring accelerometry from human movement analysis laboratories to clinical settings.Abbreviations: ANOVA = analysis of variance, AP = anteroposterior, BI = Barthel Index, CC = craniocaudal, FAC = Functional Ambulatory Classification, HFG = high functional group, HR = harmonic ratio, ICC = intraclass correlation coefficient, LFG = low functional group, LL = laterolateral, MFG = medium functional group, RMI = Rivermead Mobility Index, RMS = root-mean-square, RMS AP = RMS value along AP axis, RMS CC = RMS value along CC axis, RMS LL = RMS value along LL axis, RMS mean = RMS value obtained averaging individual-stride RMS values, RMS overall = RMS value obtained over the entire walking trial without stride partitioning, WS = walking speed.

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Stroke is the leading cause of long-term disability for adults in industrialized societies. Rehabilitation's efforts are tended to avoid long-term impairments, but, actually, the rehabilitative outcomes are still poor. Novel tools based on new technologies have been developed to improve the motor recovery. In this paper, we have taken into account seven promising technologies that can improve rehabilitation of patients with stroke in the early future: (1) robotic devices for lower and upper limb recovery, (2) brain computer interfaces, (3) noninvasive brain stimulators, (4) neuroprostheses, (5) wearable devices for quantitative human movement analysis, (6) virtual reality, and (7) tablet-pc used for neurorehabilitation.

The aim of this study was to assess the specific influence of poststroke depression (PSD) on both basal functional status and rehabilitation results. We performed a case-control study in 290 stroke inpatients, matched for age (±1 year) and onset admission interval (±3 days) and divided in two groups according to the presence (PSD+) or absence (PSD–) of PSD. All PSD+ patients were treated with antidepressants (AD), mainly with fluoxetine. PSD+ patients, despite similar severity of stroke, showed greater disability in coping with activities of daily living (ADL) on admission and greater disability both in ADL and mobility at discharge than PSD– patients. Although both groups exhibited similar average functional improvement during rehabilitation, PSD– patients were nearly twice as likely to show excellent recovery both on ADL and mobility as PSD+ patients (OR = 1.95, 95% CI = 1.01–3.75 and OR = 2.23, 95% CI = 1.14–4.35, respectively). All AD drugs improved depressive symptoms. Few relevant side effects were observed: fluoxetine was discontinued in 2 patients because of insomnia and in 2 patients because of nausea; paroxetine was stopped in 1 patient because of nausea and dry mouth. Our results confirm the unfavorable influence of PSD on functional outcome, despite pharmacological treatment.

Robotic therapy combined with conventional therapy may be more effective than conventional therapy alone in patients with greater motor impairment during inpatient stroke rehabilitation.