Objectives– The study was aimed at improving the accuracy of prognosis for recovery of function in patients suffering a first stroke. Materials and methods– Two‐hundred and forty‐eight patients were enrolled. The mean interval since the stroke was 23 days. Patients entered a rehabilitation program lasting 60 days. The predictive value of 12 factors were analysed, namely motor, cognitive and sphincter subitems of Functional Independence Measure at admission (FIM‐a), age, sex, education, body mass index (BMI), depression, neglect, aphasia, ideomotor and constructive apraxia. FIM score at discharge was the dependent variable. Results– A multiple regression revealed that only age, cognitive and sphincter subitems of FIM‐a, neglect and ideomotor apraxia were significantly associated with outcome. Moreover, these factors accounted for only 72% of the variance in outcome scores. A decision of unfavourable prognosis on the basis of a FIM‐a value lower than 40 was incorrect in 2.8% of the patients in this study and in 8.2% of those having a FIM score lower than 40. Conclusions– The use of statistical methods to examine the outcome after stroke is useful for expressing probability on a group basis but is unsuitable for determining the prognosis of individual patients. Such data should not be used for fiscal management. A significant minority of patients presenting with a FIM lower than 40 can regain a useful measure of independence. The errors in prognosis based upon available methods, although small, have unacceptable effects in human terms if they lead to the clinical decisions which deny patients rehabilitation. All of the patients should therefore be admitted for rehabilitation after their first stroke. Severe comorbidity requires special attention.
The heterogeneity of published data regarding post-stroke depression (PSD) prompted an Italian multicenter observational study (DESTRO), which took place in 2000-2003. The investigation involved 53 Italian neurology centers: of these, 50 treat acute patients and 3 provide rehabilitation care; 21 centres are in Northern Italy, 20 are in Central Italy, and 12 are in Southern Italy. The time schedule was articulated into three phases: registration of 6289 stroke patients; selection of 1817 cases and enrollment of 1074 patients; and follow-up for two years (1064 patients). Mood assessment was performed by evaluating depressive symptoms according to DSM IV and the Beck depression inventory (visual analog mood scale for aphasic patients). Depressed patients were also administered the Montgomery-Asberg depression rating scale. Scores were related to function (Barthel index, modified Rankin scale), cognition (MMSE), quality of life (SF-36), and clinical data. Data analysis will provide information on PSD prevalence, onset and evolution, correlation with ischemic clinical syndrome, impact on activities of daily living, cognitive level and quality of life. The few data available at the present time concern PSD prevalence in the first six months after stroke (33.6%). DESTRO is a longitudinal investigation of a large patient sample and is expected to provide insights into the relationship of PDS with the functional and clinical consequences of stroke.
A novel system for the neuro-motor rehabilitation of upper limbs was validated in three sub-acute post-stroke patients. The system permits synchronized cortical and kinematic measures by integrating high-resolution EEG, passive robotic device and Virtual Reality. The brain functional re-organization was monitored in association with motor patterns replicating activities of daily living (ADL). Patients underwent 13 rehabilitation sessions. At sessions 1, 7 and 13, clinical tests were administered to assess the level of motor impairment, and EEG was recorded during rehabilitation task execution. For each session and rehabilitation task, four kinematic indices of motor performance were calculated and compared with the outcome of clinical tests. Functional source maps were obtained from EEG data and projected on the real patients' anatomy (MRI data). Laterality indices were calculated for hemispheric dominance assessment. All patients showed increased participation in the rehabilitation process. Cortical activation changes during recovery were detected in relation to different motor patterns, hence verifying the system's suitability to add quantitative measures of motor performance and neural recovery to classical tests. We conclude that this system seems a promising tool for novel robot-based rehabilitation paradigms tailored to individual needs and neuro-motor responses of the patients.
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