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 2:Prediction of postoperative Matsushima grade (n = 44)
Variables Univariate Analyses Multivariate Logistic Regression χ2 or Fisher Z or t P OR (95% CI) P Basal ganglia EPVSa 12.20 .001 1.29 (1.02–1.63) .03 Agea 1.97 .06 1.13 (0.99–1.28) .06 Sex 1.73 .19 Hypertension 1.49 .22 Dyslipidemia 0.35 .56 Diabetes mellitus 0.38 .54 History of smokinga 4.24 .05 1.02 (0.99–1.06) .13 PCA involvementa 4.30 .04 0.56 (0.37–0.86) .01
↵a P < .10 threshold for entry into multivariate logistic regression.