Table 3 Prediction efficacy of TCD blood flow parameters and predictive model for intracranial infection.

From: A study of the predictive value of transcranial doppler ultrasound for intracranial infections and the distribution of causative organisms

Norm

AUC

Optimal cutoff value

Jordon index (math.)

Sensitivity

Specificity

95% Cl

P value

Vs

0.808

102.725

0.536

0.962

0.574

0.725 ~ 0.891

< 0.001

Vd

0.752

68.860

0.449

0.539

0.911

0.639 ~ 0.864

< 0.001

Vm

0.729

86.660

0.369

0.577

0.792

0.622 ~ 0.836

< 0.001

++Vs Vd Vm

0.901

 

0.727

0.846

0.881

0.827 ~ 0.974

< 0.001

Predictive model

0.942

 

0.739

0.808

0.931

0.896 ~ 0.988

< 0.001

  1. *AUC: Area under the curve; Vs: Peak systolic flow velocity; Vd: End-diastolic flow velocity; Vm: Mean blood flow velocity; Combined: Refers to the combined prediction using Vs, Vd, and Vm; Predictive model: Refers to the prediction model established by independent predictors included in the final multivariate model (e.g., preoperative GCS score, drainage tube retention time, Vm, etc.). J = (Sensitivity + Specificity) − 1.
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