987 resultados para Stroke index
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Amphetamine enhances recovery after experimental ischaemia and has shown promise in small clinical trials when combined with motor or sensory stimulation. Amphetamine, a sympathomimetic, might have haemodynamic effects in stroke patients, although limited data have been published. Subjects were recruited 3-30 days post ischaemic stroke into a phase II randomised (1:1), double blind, placebo-controlled trial. Subjects received dexamphetamine (5mg initially, then 10mg for 10 subsequent doses with 3 or 4 day separations) or placebo in addition to inpatient physiotherapy. Recovery was assessed by motor scales (Fugl-Meyer, FM), and functional scales (Barthel index, BI and modified Rankin score, mRS). Peripheral blood pressure (BP), central haemodynamics and middle cerebral artery blood flow velocity were assessed before, and 90 minutes after, the first 2 doses. 33 subjects were recruited, age 33-88 (mean 71) years, males 52%, 4-30 (median 15) days post stroke to inclusion. 16 patients were randomised to placebo and 17 amphetamine. Amphetamine did not improve motor function at 90 days; mean (standard deviation) FM 37.6 (27.6) vs. control 35.2 (27.8) (p=0.81). Functional outcome (BI, mRS) did not differ between treatment groups. Peripheral and central systolic BP, and heart rate, were 11.2 mmHg (p=0.03), 9.5 mmHg (p=0.04) and 7 beats/minute (p=0.02) higher respectively with amphetamine, compared with control. A non-significant reduction in myocardial perfusion (Buckberg Index) was seen with amphetamine. Other cardiac and cerebral haemodynamics were unaffected. Amphetamine did not improve motor impairment or function after ischaemic stroke but did significantly increase BP and heart rate without altering cerebral haemodynamics.
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Posterior reversible encephalopathy syndrome (PRES) is a clinico-neuro-radiological diagnosis, which can complicate a wide range of conditions. Clinical features include generalised and/or focal neurological deficits. These features are also present in neurovascular disorders, such as stroke. Currently, emphasis in the management of hyperacute stroke is thrombolysis, and it is important to bear in mind stroke mimics as a possible cause of clinical features. The Authors present the case of a 66-year-old man, who presented with acute focal neurological deficit. His brain imaging and history were consistent with PRES.
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Malignant otitis externa (MOE) is an aggressive but benign entity which evolves into skull base osteomyelitis. An 81-year-old female patient was admitted for left hemiparesis and homonymous hemianopia. She complained of headache radiating to the right cervical area. A recent history of recurrent otitis media was present. Head and neck imaging showed an ischemic infarction (right temporo-occipital) and a parapharyngeal soft tissue mass originating in an external and medial ear infection. Culture samples revealed Pseudomonas aeruginosa infection leading to the diagnosis of Malignant otitis externa (MOE). Parenteral antibacterial therapy and hyperbaric oxygen therapy resulted in improvement.
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Background Many acute stroke trials have given neutral results. Sub-optimal statistical analyses may be failing to detect efficacy. Methods which take account of the ordinal nature of functional outcome data are more efficient. We compare sample size calculations for dichotomous and ordinal outcomes for use in stroke trials. Methods Data from stroke trials studying the effects of interventions known to positively or negatively alter functional outcome – Rankin Scale and Barthel Index – were assessed. Sample size was calculated using comparisons of proportions, means, medians (according to Payne), and ordinal data (according to Whitehead). The sample sizes gained from each method were compared using Friedman 2 way ANOVA. Results Fifty-five comparisons (54 173 patients) of active vs. control treatment were assessed. Estimated sample sizes differed significantly depending on the method of calculation (Po00001). The ordering of the methods showed that the ordinal method of Whitehead and comparison of means produced significantly lower sample sizes than the other methods. The ordinal data method on average reduced sample size by 28% (inter-quartile range 14–53%) compared with the comparison of proportions; however, a 22% increase in sample size was seen with the ordinal method for trials assessing thrombolysis. The comparison of medians method of Payne gave the largest sample sizes. Conclusions Choosing an ordinal rather than binary method of analysis allows most trials to be, on average, smaller by approximately 28% for a given statistical power. Smaller trial sample sizes may help by reducing time to completion, complexity, and financial expense. However, ordinal methods may not be optimal for interventions which both improve functional outcome
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Background: Most large acute stroke trials have been neutral. Functional outcome is usually analysed using a yes or no answer, e.g. death or dependency vs. independence. We assessed which statistical approaches are most efficient in analysing outcomes from stroke trials. Methods: Individual patient data from acute, rehabilitation and stroke unit trials studying the effects of interventions which alter functional outcome were assessed. Outcomes included modified Rankin Scale, Barthel Index, and ‘3 questions’. Data were analysed using a variety of approaches which compare two treatment groups. The results for each statistical test for each trial were then compared. Results: Data from 55 datasets were obtained (47 trials, 54,173 patients). The test results differed substantially so that approaches which use the ordered nature of functional outcome data (ordinal logistic regression, t-test, robust ranks test, bootstrapping the difference in mean rank) were more efficient statistically than those which collapse the data into 2 groups (chi square) (ANOVA p<0.001). The findings were consistent across different types and sizes of trial and for the different measures of functional outcome. Conclusions: When analysing functional outcome from stroke trials, statistical tests which use the original ordered data are more efficient and more likely to yield reliable results. Suitable approaches included ordinal logistic regression, t-test, and robust ranks test.
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Background: The goal of stroke rehabilitation has shifted from mere survival of a victim to how well a survivor can be effectively reintegrated back into the community. Objectives: The present study determined the level of satisfaction with community reintegration (CR) and related factors among Nigerian community-dwelling stroke survivors (CDSS). Methods: This was a cross-sectional survey of 71 volunteering CDSS (35 males, 36 females) from selected South-Eastern Nigerian communities. Reintegration to Normal Living Index was used to assess participants’ CR. Data was analysed using Spearman rank-order correlation, Kruskal-Wallis and Mann-Whitney U tests at p≤0.05. Results: Participants generally had deficits in CR which was either mild/moderate (52.1%) or severe (47.9%). Scores in the CR domains of distance mobility, performance of daily activities, recreational activities and family roles were particularly low (median scores ≤ 4). CR was significantly correlated with and influenced by age (r=-0.35; p=0.00) and presence/absence of diabetes mellitus (u=3.56.50; p=0.01), pre- (k=6.13; p=0.05) and post-stroke employment (k=18.26; p=0.00) status, type of assistive mobility device being used (AMD) (k=25.39; p=0.00) and support from the community (k=7.15; p=0.03) respectively. Conclusion: CR was generally poor for this CDSS sample. Survivors who are older, having diabetes as co-morbidity, using AMD (particularly wheel-chair) and without employment pre- and/or post-stroke may require keener attention. Rehabilitation focus may be targeted at enhancing mobility functions, vocational and social skills.
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Background and Purpose—Most large acute stroke trials have been neutral. Functional outcome is usually analyzed using a yes or no answer, eg, death or dependency versus independence. We assessed which statistical approaches are most efficient in analyzing outcomes from stroke trials. Methods—Individual patient data from acute, rehabilitation and stroke unit trials studying the effects of interventions which alter functional outcome were assessed. Outcomes included modified Rankin Scale, Barthel Index, and “3 questions”. Data were analyzed using a variety of approaches which compare 2 treatment groups. The results for each statistical test for each trial were then compared. Results—Data from 55 datasets were obtained (47 trials, 54 173 patients). The test results differed substantially so that approaches which use the ordered nature of functional outcome data (ordinal logistic regression, t test, robust ranks test, bootstrapping the difference in mean rank) were more efficient statistically than those which collapse the data into 2 groups (2; ANOVA, P0.001). The findings were consistent across different types and sizes of trial and for the different measures of functional outcome. Conclusions—When analyzing functional outcome from stroke trials, statistical tests which use the original ordered data are more efficient and more likely to yield reliable results. Suitable approaches included ordinal logistic regression, test, and robust ranks test.
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Background In post-stroke patients, impairment of quality of life (QOL) has been associated with functional impairment, age, anxiety, depression, and fatigue. Good social support, higher education, and better socioeconomic status are associated with better QOL among stroke survivors. In Africa, studies from Nigeria and Tanzania have reported on post-stroke QOL. Aim The aim of this study was to describe QOL more than six months after first-ever stroke in Malawi. Methods This was an interview-based study about a stroke-surviving cohort. Adult patients were interviewed six or twelve months after their first ever stroke. HIV status, modified stroke severity scale (mNIHSS) score, and brain scan results were recorded during the acute phase of stroke. At the time of the interviews, the modified Rankin scale (mRS) was used to assess functional outcome. The interviews applied the Newcastle Stroke-specific Quality of Life Measure (NEWSQOL). All the data were analysed using Statview™: the X2 test compared proportions, Student’s t-test compared means for normally distributed data, and the Kruskal-Wallis test was used for nonparametric data. Results Eighty-one patients were followed up at least six months after the acute stroke. Twenty-five stroke patients (ten women) were interviewed with the NEWSQOL questionnaire. Good functional outcome (lower mRS score) was positively associated with better QOL in the domains of activities of daily living (ADL)/self-care (p = 0.0024) and communication (p = 0.031). Women scored worse in the fatigue (p = 0.0081) and cognition (p = 0.048) domains. Older age was associated with worse QOL in the ADL (p = 0.0122) domain. Seven patients were HIV-seroreactive. HIV infection did not affect post-stroke QOL. Conclusion In Malawi, within specific domains, QOL after stroke appeared to be related to patients’ age, sex, and functional recovery in this small sample of patients.
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Stroke is the leading cause of death in Portugal and the Alentejo region. Objective: Describe the population's knowledge about risk factors, signs and symptoms of stroke. Methodology: Quantitative and cross-sectional study. Convenience sample of 207 pedestrians with ages between 16 and 86 years old (M=38,85; SD = 18.93). Results: The pathology is known, the most frequently mentioned sources of information are television and friends. Hypercholesterolemia, heart disease and smoking are the risk factors more set out. The most well known signs are numbness and weakness in the hemisphere and dysarthria. Conclusion: It is necessary to strengthen the role of health services in education about stroke. Knowledge displays weaknesses in appreciation of advanced age and diabetes. Noteworthy is the recognition of the risk associated with tobacco consumption and persistence on it.