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 6:Cox proportional hazards regression analysis for predicting subsequent intracerebral hemorrhage
Variable Hazards Regression 95% CI P Increased age 1.028 0.948–1.116 .5024 Male sex 16.476 1.448–187.467 .0239 Stroke type (intracerebral hemorrhage) 41.898 1.822–963.670 .0195 Microbleeds 85.626 6.344–1155.649 .0008 Advanced leukoaraiosis 0.016 0.001–0.258 .0035 Hypertension 0.163 0.026–1.044 .0555 Diabetes mellitus 0.83 0.092–7.461 .868 Hypercholesterolemia 0.333 0.030–3.667 .3689 Antiplatelet therapy 64.904 2.054–2050.683 .0178 Days from stroke onset to registration 1.009 1.003–1.015 .0017