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Query: UMLS:C0038454 (stroke)
 147,016 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

The goal of this study was to compare the responsiveness for clinically meaningful change over time of a newly designed functional status scale, the Rehabilitation Activities Profile (RAP), with more frequently used Barthel Index (BI). Four techniques for the quantification of responsiveness were utilized: effect sizes, p-values, t-statistics and ROC curves. The patient's return home was chosen as external criterion. An inception cohort of stroke patients was followed during 26 weeks. All patients still hospitalized on the 14th day after the stroke were included. The functional assessments took place at 2, 3, 4, 8, 12, and 26 weeks after stroke. The patients were visited at the hospital, home, nursing home, or rehabilitation center. Of the 125 patients included in the study, 18 patients died during the observation period, 2 patients were lost to follow-up, and 1 patient refused to cooperate after 12 weeks. After 26 weeks, 104 patients remained for analysis. Three time periods were discerned: 2 to 12 weeks (early response), 12 to 26 weeks (late response), and 2 to 26 weeks after stroke (overall response). The effect sizes of the RAP were consistently higher on all three time periods than those of the BI. The p-value of the overall response mean change score of the RAP appeared to discriminate between patients returning home and those not returning home, whereas the BI failed on this point (p = 0.004 vs. 0.496). Using t-statistics, the RAP showed a higher efficiency in expressing change on all time periods (relative efficiency = 1.42, 1.77, and 1.43, respectively). The receiver operating characteristic surface area of the RAP score was higher than the area of the BI score (0.74 and 0.59, respectively for the early response period). In conclusion, all results seemed to indicate that the RAP is more responsive than the BI when returning home is chosen as an external criterion.
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PMID:Responsiveness of the rehabilitation activities profile and the Barthel index. 859 9

We measured serum creatine kinase (CK), lactate dehydrogenase (LD), aspartate aminotransferase (AST), and serum alanine aminotransferase (ALT) in 26 heat stroke (HS) victims and 10 control (non-heat-exhausted) subjects during annual Hajj in Makkah, Saudi Arabia. On admission to the HS treatment unit, serum CK, AST, ALT, and LD were higher in HS victims than controls (P < 0.05), and at 6, 12, and 24 h were higher than baseline concentration. The patient group was divided into three groups, (a) those who had a quick recovery, (b) those who were critically ill until the end of the Hajj period (7 days), and (c) those who died. Serum enzymes at the time of admission were significantly higher (P < 0.05) in the nonsurviving group (n = 6) and the severely ill (n = 9) than in those who had a quick recovery (n = 11). ROC curves were plotted for each enzyme. The most useful indicator was LD, as it could distinguish significantly between the groups who died and those who had a quick recovery (area under the curve = 0.991 +/- 0.0286). It was followed by CK and AST as useful prognostic factors. When compared with ROC curves for body temperature, anion gap, and serum potassium, the enzyme results were superior prognostic indicators.
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PMID:Serum enzymes in heat stroke: prognostic implication. 921 54

Automated systems using natural language processing may greatly speed chart review tasks for clinical research, but their accuracy in this setting is unknown. The objective of this study was to compare the accuracy of automated and manual coding in the data acquisition tasks of an ongoing clinical research study, the Northern Manhattan Stroke Study(NOMASS). We identified 471 neuroradiology reports of brain images used in the NOMASS study. Using both automated and manual coding, we completed a standardized NOMASS imaging form with the information contained in these reports. We then generated ROC curves for both manual and automated coding by comparing our results to the original NOMASS data, where study in investigators directly coded their interpretations of brain images. The areas under the ROC curves for both manual and automated coding were the main outcome measure. The overall predictive value of the automated system (ROC area 0.85, 95% CI 0.84-0.87) was not statistically different from the predictive value of the manual coding (ROC area 0.87, 95% CI 0.83-0.91). Measured in terms of accuracy, the automated system performed slightly worse than manual coding. The overall accuracy of the automated system was 84% (CI 83-85%). The overall accuracy of manual coding was 86% (CI 84-88%). The difference in accuracy between the two methods was small but statistically significant (P = 0.026). Errors in manual coding appeared to be due to differences between neurologists' and nueroradiologists' interpretation, different use of detailed anatomic terms, and lack of clinical information. Automated systems can use natural language processing to rapidly perform complex data acquisition tasks. Although there is a small decrease in the accuracy of the data as compared to traditional methods, automated systems may greatly expand the power of chart review in clinical research design and implementation.
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PMID:Coding neuroradiology reports for the Northern Manhattan Stroke Study: a comparison of natural language processing and manual review. 1077 80

New treatments for acute stroke require a rapid triage system, which minimizes treatment delays and maximizes selection of eligible patients. Our aim was to create a score for assessing the probability of brain hemorrhage among patients with acute stroke based upon clinical information. Of 1805 patients in the Stroke Data Bank, 1273 had infarction (INF) and 237 had parenchymatous hemorrhage (HEM) verified by CT. INF and HEM discriminators were determined by logistic regression and used to create a score. ROC curve was used to choose the cut-point for predicting HEM (score </= 2), with sensitivity of 76% and specificity of 83%. External validation was done using the NOMASS cohort. Although the use of a practical score by emergency personnel cannot replace the gold-standard brain image differentiation of HEM from INF for thrombolytic therapy, this score can help to select patients for stroke trials and pre-hospital treatments, alert CT scan technicians, and warn stroke teams of incoming patients to reduce treatment delays.
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PMID:Clinical discriminators between acute brain hemorrhage and infarction: a practical score for early patient identification. 1206 43

Two disability measures frequently used to assess the effects of interventions on stroke recovery are the Barthel Index (BI) and the motor component of the Functional Independence Measure (FIM Instrument). This study compared multiple measures of responsiveness of these instruments to stroke recovery between 1 and 3 months. Data on a 1- to 3-month change in the Instruments were obtained for 372 subjects who improved or maintained function on the modified Rankin Scale (MRS), using a subset of 459 eligible patients with confirmed stroke as defined by WHO criteria recruited from 12 participating hospitals in the Greater Kansas City area. Subjects were excluded because of death, early withdrawal from the study, missing MRS, or outcome data (57) decline on MRS (26), or inability to improve on MRS (4). Techniques used to assess responsiveness were: area under the ROC curve, Guyatt's effect size, paired t-statistics, standardized response mean, Kazis effect size, and mixed model adjusted t-statistic. The FIM Instrument and BI show little difference in responsiveness to change. The different responsiveness measures are generally consistent with this conclusion, with no measure clearly superior to the others. Large differences in the responsiveness measures were obtained within an instrument depending on the populations used (changers only or both changers and those who maintained function). Results also suggest responsiveness assessments are likely to be affected by time frame and phase of rehabilitation over which the responsiveness of a measure is determined.
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PMID:Comparison of the responsiveness of the Barthel Index and the motor component of the Functional Independence Measure in stroke: the impact of using different methods for measuring responsiveness. 1239 81

Candidate gene polymorphisms related to inflammation, thrombosis and lipid metabolism have been implicated in the development of ischemic stroke. Using DNA samples collected at baseline in a prospective cohort of 14 916 initially healthy American men, we genotyped 92 polymorphisms from 56 candidate genes among 319 individuals who subsequently developed ischemic stroke and among 2092 individuals who remained free of reported cardiovascular disease over a mean follow-up period of 13.2 years to prospectively determine whether candidate gene polymorphisms contribute to stroke risk. After adjustment for multiple comparisons and age, smoking, body mass index, hypertension, hyperlipidemia and diabetes, two related to inflammation [a val640leu polymorphism in the P-selectin gene (OR=1.63, 95% CI 1.22-2.17, P=0.001) and a C582T polymorphism in the interleukin-4 gene (OR=1.40, 95% CI 1.13-1.73, P=0.003)] were found to be independent predictors of thrombo-embolic stroke. In bootstrap replications, the inclusion of genetic information from these two polymorphisms improved prediction models for stroke based upon traditional risk factors alone (ROC 0.67 versus 0.64). Two polymorphisms related to thrombosis (an arg353gln polymorphism in the factor VII gene and a T11053G polymorphism in the plasminogen activator inhibitor type-1 gene) and one related to lipid metabolism [a C(-482)T polymorphism in the apolipoprotein CIII gene] achieved nominal significance, but were not found to be independent predictors after multiple comparison adjustment. Two inflammatory candidate gene polymorphisms were identified which were independently associated with incident stroke. These population-based data demonstrate the ability of prospective, epidemiological studies to test candidate gene associations for athero-thrombotic disease.
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PMID:Polymorphism in the P-selectin and interleukin-4 genes as determinants of stroke: a population-based, prospective genetic analysis. 1468 4

The present pair-matched case control study was carried out at Government Medical College Hospital, Nagpur, India, a tertiary care hospital with the objective to devise and validate a risk scoring system for prediction of hemorrhagic stroke. The study consisted of 166 hospitalized CT scan proved cases of hemorrhagic stroke (ICD 9, 431-432), and a age and sex matched control per case. The controls were selected from patients who attended the study hospital for conditions other than stroke. On conditional multiple logistic regression five risk factors- hypertension (OR = 1.9. 95% Cl = 1.5-2.5). raised scrum total cholesterol (OR = 2.3, 95% Cl = 1.1-4.9). use of anticoagulants and antiplatelet agents (OR = 3.4, 95% Cl =1.1-10.4). past history of transient ischaemic attack (OR = 8.4, 95% Cl = 2.1- 33.6) and alcohol intake (OR = 2.1, 95% Cl = 1.3-3.6) were significant. These factors were ascribed statistical weights (based on regression coefficients) of 6, 8, 12, 21 and 8 respectively. The nonsignificant factors (diabetes mellitus, physical inactivity, obesity, smoking, type A personality, history of claudication, family history of stroke, history of cardiac diseases and oral contraceptive use in females) were not included in the development of scoring system. ROC curve suggested a total score of 21 to be the best cut-off for predicting haemorrhag stroke. At this cut-off the sensitivity, specificity, positive predictivity and Cohen's kappa were 0.74, 0.74, 0.74 and 0.48 respectively. The overall predictive accuracy of this additive risk scoring system (area under ROC curve by Wilcoxon statistic) was 0.79 (95% Cl = 0.73-0.84). Thus to conclude, if substantiated by further validation, this scorincy system can be used to predict haemorrhagic stroke, thereby helping to devise effective risk factor intervention strategy.
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PMID:A risk scoring system for prediction of haemorrhagic stroke. 1647 1

Due to the large population and high levels of motorized-vehicle exhaust emissions, motorcycle emissions make an important contribution to total emissions in Taiwan, ROC. Aiming to reduce the air pollution generated by these motorcycles, the Taiwan Environmental Protection Administration (TEPA) has maintained an enforced inspection and maintenance (I/M) program for in-use motorcycles since 1996. This report explores the effects of engine type, engine size, engine age, and manufacturers of in-use motorcycles on CO/HC emissions in I/M testing data during the period of 1996-2002 in the Central Air Quality Basin of Taiwan. Additionally, geographical characteristics and failure rates of motorcycles are analyzed. The results indicate that the age, size, and type of engine, and the manufacturers of motorcycles all play a significant role in determining I/M emission test results. The findings also show that two-stroke motorcycles emitted approximately ten times greater HC than those of four-stroke motorcycles. CO/HC test emissions increase with a decrease in engine size, HC test emissions contributed by Yamaha and other manufacturers being the highest. Although CO/HC test emissions generally increase with the age of the motorcycle, older motorcycles do not contribute significantly to total emissions due to the small number of older motorcycles. It was observed that CO/HC test emissions depend on driving patterns, geographical location, and inspection rates of motorcycles. The failure rate due to CO is nearly four times greater than that of HC, and the older and smaller-engine-size motorcycles obtain greater failure rates. These statistical findings can also provide the EPA of Taiwan or other Asian countries with useful information for formulating better environmental strategies to manage motorcycles effectively.
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PMID:Test emission characteristics of motorcycles in Central Taiwan. 1664 44

The future challenge for improving stroke patients' outcome will be to implement new Stroke Units (SUs) worldwide. However the best SU model remains uncertain. The aim of this study was to evaluate the number of SUs and the quality characteristics of acute stroke care in Italy. We conducted a SU survey in Italy, interviewing the directors of the hospital wards that discharged at least 50 acute stroke patients a year. A SU was defined as an acute ward area with stroke-dedicated beds and staff. To compare the quality of care provided in SUs with that in general wards (GWs) we investigated the characteristics of five domains: hospital setting, unit setting, staffing, process of care and diagnostic investigations. We identified 68 SUs and 677 GWs. Multivariate logistic regression analyses demonstrated that SUs compared to GWs had higher quality scores in unit setting (ROC area=0.9721), staffing (ROC area=0.8760) and care organisation (ROC area=0.7984). The hospital setting (ROC area=0.7033) and the availability of rapid diagnostic investigations (ROC area=0.7164) had lower power in discriminating SU from GW. In Italy in 2003/04 only 9% of the hospital services had organised SU care. The study demonstrated that SUs admitted more than 100 patients per year, had more monitoring equipment and staffing time, and practised multidisciplinary meetings and early mobilisation. The utility of these structural and performance characteristics needs validation from outcome studies.
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PMID:Stroke Unit care in Italy. Results from PROSIT (Project on Stroke Services in Italy). A nationwide study. 1712 43

The arterial and mixed venous carbon dioxide tension gradient has been shown to increase when there is a decrease in cardiac output. Monitoring central venous gases is an attractive alternative to monitoring mixed venous gases in circulatory failure because central venous catheterisation is a less invasive procedure than pulmonary artery catheterisation. This study aims to evaluate the agreement between central venous-arterial carbon dioxide (CVA-CO2) and mixed venous-arterial carbon dioxide (SVA-CO2) tension gradients and assess whether CVA-CO2 tension gradient can be used to predict cardiac output in circulatory failure. Samples of arterial, central venous and mixed venous blood were obtained from 16 patients with circulatory failure at different inspired oxygen concentrations and cardiac indexes within 24 hours of study enrolment. CVA-CO2 and SVA-CO2 tension gradient were not interchangeable numerically (bias = 0.14 mmHg, 95% limits of agreement: -3.0 to 3.2 mmHg). CVA-CO2 (Spearman correlation coefficient r = -0.385) and SVA-CO, (r = -0.578) tension gradient were significantly correlated with the cardiac index but the cardiac index only accounted for 21% and 32% of the variability of CVA-CO, and SVA-CO2 tension gradient, respectively. The ability of CVA-CO2 tension gradient (area under the ROC curve = 0.77, 95% confidence interval [CI]: 0.49-0.99; P = 0.08) to predict a low cardiac output state (cardiac index < 2.5 l/min/m2) was lower than SVA-CO2 (area under the ROC curve = 0.95, 95% CI: 0.88-0.99; P = 0.003). The utility of CVA-CO2 and SVA-CO2 tension gradient appeared to be limited to their negative predictive value to exclude a low cardiac output state when CVA-CO, or SVA-CO, tension gradient was normal (< or =5 mmHg).
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PMID:A comparison of central venous-arterial and mixed venous-arterial carbon dioxide tension gradient in circulatory failure. 1793 54


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