A three-item scale for the early prediction of stroke recovery

Baird, Alison E.; Dambrosia, James M.; Janket, Sok‐Ja; Eichbaum, Quentin; Chaves, Claudia; Silver, Brian; Barber, P. Alan; Parsons, Mark; Darby, David; Davis, Stephen M.; Caplan, Louis R.; Edelman, Robert E.; Warach, Steven

doi:10.1016/s0140-6736(00)05183-7

Cited by 202 publications

(169 citation statements)

References 21 publications

Supporting

Mentioning

157

Contrasting

Unclassified

Order By: Relevance

“…32 Several prognostic models have been evaluated in the past years. Some of these models include information from MR 33 or CT 34 , others are based mostly on clinical information such as comorbidities or stroke severity 35,36,37 . As reference for reclassification, we chose the prognostic index of König IR et al because of its validation for both functional outcome and mortality at 3 months along with its robust prognostic power arising from two easily accessible variables such as age and NIHSS.…”

Section: Discussionmentioning

confidence: 99%

Copeptin adds prognostic information after ischemic stroke

et al. 2013

View full text Add to dashboard Cite

OBJECTIVE: To evaluate and validate the incremental value of copeptin in the prediction of outcome and complications as compared with established clinical variables. METHODS: In this prospective, multicenter, cohort study, we measured copeptin in the emergency room within 24 hours from symptom onset in 783 patients with acute ischemic stroke. The 2 primary end points were unfavorable functional outcome (modified Rankin Scale score 3-6) and mortality within 90 days. Secondary end points were any of 5 prespecified complications during hospitalization. RESULTS: In multivariate analysis, higher copeptin independently predicted unfavorable outcome (adjusted odds ratio 2.17 for any 10-fold copeptin increase [95% confidence interval CI, 1.46-3.22], p < 0.001), mortality (adjusted hazard ratio 2.40 for any 10-fold copeptin increase [95% CI, 1.60-3.60], p < 0.001), and complications (adjusted odds ratio 1.93 for any 10-fold copeptin increase [95% CI, 1.33-2.80], p = 0.001). The discriminatory accuracy, calculated with the area under the receiver operating characteristic curve, improved significantly for all end points when adding copeptin to the NIH Stroke Scale score and the multivariate models. Moreover, the combination of copeptin with a validated score encompassing both the NIH Stroke Scale and age led to a net reclassification improvement of 11.8% for functional outcome and of 37.2% for mortality. CONCLUSIONS: In patients with ischemic stroke, copeptin is a validated blood marker that adds predictive information for functional outcome and mortality at 3 months beyond stroke severity and age. Copeptin seems to be a promising new blood marker for prediction of in-hospital complications. Authors Contribution:As principal investigators, Dr De Marchis (GMDM), Dr Katan (MK) and Dr Arnold (MA) had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Methods:In this prospective, multicenter cohort study we measured copeptin in the emergency room within 24 hours from symptom onset in 783 patients with acute ischemic stroke. The two primary endpoints were unfavorable functional outcome (modified Rankin Scale score 3-6) and mortality within 90 days. Secondary endpoints were any of five prespecified complications during hospitalization.

show abstract

Section: Discussionmentioning

confidence: 99%

Copeptin adds prognostic information after ischemic stroke

et al. 2013

View full text Add to dashboard Cite

show abstract

“…As argued by Caplan, 21 the lack of information on which, if any, artery is occluded is likely a major reason for the limited progress to date in the treatment of ischemic stroke. The predictive power of clinical rating instruments can be improved by augmenting them with neuroimaging data 22 ; therefore, the approach described here can be considered complementary to clinical classification schemes already in use.…”

Section: Discussionmentioning

confidence: 99%

Comparing and Predicting the Costs and Outcomes of Patients with Major and Minor Stroke Using the Boston Acute Stroke Imaging Scale Neuroimaging Classification System

Cipriano

Steinberg²,

Gazelle³

et al. 2009

AJNR Am J Neuroradiol

View full text Add to dashboard Cite

BACKGROUND AND PURPOSE:A neuroimaging-based ischemic stroke classification system that predicts costs and outcomes would be useful for clinical prognostication and hospital resource planning. The Boston Acute Stroke Imaging Scale (BASIS), a neuroimaging-based ischemic stroke classification system, was tested to determine whether it was able to predict the costs and clinical outcomes of patients with stroke at an urban academic medical center.

show abstract

“…We have used a similar algorithm in predicting good recovery after acute stroke. 11 The purpose of this project was to construct a scoring system useful in explaining CHD using combined oral pathologies that might generate inflammatory mediators. We tested the following hypotheses: (1) The Asymptotic Dental Score (ADS), created by mathematical modeling of oral pathologies, is associated with CHD.…”

Section: See P 1076mentioning

confidence: 99%

Asymptotic Dental Score and Prevalent Coronary Heart Disease

et al. 2004

Self Cite

View full text Add to dashboard Cite

Background-Oral infections have been postulated to produce cytokines that may contribute to the pathogenesis of coronary heart disease (CHD). We hypothesized that by estimating the combined production of inflammatory mediators attributable to several oral pathologies, we might be able to explain CHD with better precision. Methods and Results-A total of 256 consecutive Finnish cardiac patients from Kuopio University Hospital with angiographically confirmed CHD and 250 age-, gender-, and residence-matched noncardiac patients (controls) were recruited. All dental factors expected to generate inflammatory mediators, including pericoronitis, dental caries, dentate status, root remnants, and gingivitis, were examined, and an asymptotic dental score (ADS) was developed by logistic regression analyses with an appropriate weighting scheme according to the likelihood ratio. We validated the explanatory ability of ADS by comparing it to that of the Total Dental Index and examining whether the ADS was associated with known predictors of CHD. A model that included ADS, C-reactive protein, HDL, and fibrinogen offered an explanatory ability that equaled or exceeded that of the Framingham heart score (C statisticϭ0.82 versus 0.80). When ADS was removed from this model, the C-statistic decreased to 0.77, which indicates that the ADS was a significant contributor to the explanatory ability of a logistic model. Conclusions-ADS may be useful as a prescreening tool to promote proactive cardiac evaluation among individuals without overt symptoms of CHD. However, additional prospective study is needed to validate the use of an oral health score as a predictor of incident CHD.

show abstract

A three-item scale for the early prediction of stroke recovery

Cited by 202 publications

References 21 publications

Copeptin adds prognostic information after ischemic stroke

Copeptin adds prognostic information after ischemic stroke

Comparing and Predicting the Costs and Outcomes of Patients with Major and Minor Stroke Using the Boston Acute Stroke Imaging Scale Neuroimaging Classification System

Asymptotic Dental Score and Prevalent Coronary Heart Disease

Contact Info

Product

Resources

About