1naresh
Array ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) 1nareshArray ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) )Table 1:Logistic regression analysis for any hemorrhage
Predictor OR (95% CI) Estimate (SE) P > χ2* Poor pial collateral score 3.03 (1.09–8.71) 1.11 (0.52) .0342 Platelets <200K† 2.95 (1.06–8.57) 1.08 (0.53) .0403 Diabetes 4.82 (1.49–16.9) 0.787 (0.306) .0100 Time to treat >180 min 12.0 (1.77–253) 2.47 (1.17) .0333 Intercept −0.81 (0.52) .1138
Note:—OR indicates odds ratio.
* Variables tested with P > .05 were rejected using backward selection (whole-model test, P < .0001; r2 = 0.202).
† 200K = 200,000/μL.