Hats off to Helmet of Hope - stroke diagnosis in 30 seconds
Microwave Imaging for Brain Stroke Detection and Monitoring using High Performance Computing in 94 seconds
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Maybe these 17 diagnosis possibilities to find out which one is the best? Or maybe the Qualcomm Xprize for the tricorder?
http://stroke.ahajournals.org/content/48/9/2419?etoc=
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Abstract
Background and Purpose—Stroke
diagnosis could be challenging in the acute phase. We aimed to develop a
blood-based diagnostic tool to differentiate between real strokes and
stroke mimics and between ischemic and hemorrhagic strokes in the
hyperacute phase.
Methods—The
Stroke-Chip was a prospective, observational, multicenter study,
conducted at 6 Stroke Centers in Catalonia. Consecutive patients with
suspected stroke were enrolled within the first 6 hours after symptom
onset, and blood samples were drawn immediately after admission. A
21-biomarker panel selected among previous results and from the
literature was measured by immunoassays. Outcomes were differentiation
between real strokes and stroke mimics and between ischemic and
hemorrhagic strokes. Predictive models were developed by combining
biomarkers and clinical variables in logistic regression models.
Accuracy was evaluated with receiver operating characteristic curves.
Results—From
August 2012 to December 2013, 1308 patients were included (71.9%
ischemic, 14.8% stroke mimics, and 13.3% hemorrhagic). For stroke versus
stroke mimics comparison, no biomarker resulted included in the
logistic regression model, but it was only integrated by clinical
variables, with a predictive accuracy of 80.8%. For ischemic versus
hemorrhagic strokes comparison, NT-proBNP (N-Terminal Pro-B-Type
Natriuretic Peptide) >4.9 (odds ratio, 2.40; 95% confidence interval,
1.55–3.71; P<0.0001) and endostatin >4.7 (odds ratio, 2.02; 95% confidence interval, 1.19–3.45; P=0.010),
together with age, sex, blood pressure, stroke severity, atrial
fibrillation, and hypertension, were included in the model. Predictive
accuracy was 80.6%.
Conclusions—The
studied biomarkers were not sufficient for an accurate differential
diagnosis of stroke in the hyperacute setting. Additional discovery of
new biomarkers and improvement on laboratory techniques seem necessary
for achieving a molecular diagnosis of stroke.
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