A: ROC of TIA, Cardiac disease, Pneumonia, Babinski sign +, NEU# (quintile), LYMPH# (quintile), D-DIMER (quintile) to poor prognosis of AIS patients. NEU# (quintile): Neutrophil count in 5 quintiles, LYMPH# (quintile): Lymphocyte count in 5 quintiles, D-DIMER (quintile): D-dimer in 5 quintiles. B: ROC of NLR: The ratio of neutrophil count to lymphocyte count, DLR: The ratio of D-dimer to lymphocyte count, NDM: Neutrophil count multiplied by D-dimer, TIA: Transient Ischemic Attacks, Cardiac disease, Pneumonia, Babinski sign +, Predicted probability-NLR, Predicted probability-DLR, Predicted probability-NDM.</p
a<p>Under the nonparametric assumption; <sup>b</sup>Null hypothesis: true area = 0.5.</p>*<p>Subjec...
<p>ROC curve for the performances of inflammatory cytokine levels and CRP to rule out the possibilit...
(A) The combination of the EOS% and BAS% (orange line) had an AUC of 0.82 (P = 0.000); AST (blue lin...
ROC curves to predict: Severe diseases among all illness episodes, severe pneumonia among all pneumo...
<p>Values of the ROC curves for DNI, WBC, and CRP for predicting superimposed pneumonia in patients ...
<p>Fig 5 shows the combined ROC curves generated for the IgG index and the sCD163 ratio (5a), the CX...
ROC curves stratified by age to predict: Severe diseases among all illness episodes, severe pneumoni...
<p>ROC curve for predictive value of cytokines for GNB in patients with sepsis or intracranial infec...
<p>(<b>A</b>) ROC curve performance of the independent variables age and NIHSSS for relative lymphoc...
A. ROC curves and KM curves of LDH for prognosis in patients with AIS; B. ROC curves and KM curves o...
<p>Fig 4 shows the ROC curves generated for the sCD163 ratio (4a), the CXCL13 ratio (4b), the NEO ra...
ROC curves of NLR, WBC, NEU, and LYM to predict the frequency of the need for invasive mechanical ve...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
a<p>Under the nonparametric assumption; <sup>b</sup>Null hypothesis: true area = 0.5.</p>*<p>Subjec...
<p>ROC curve for the performances of inflammatory cytokine levels and CRP to rule out the possibilit...
(A) The combination of the EOS% and BAS% (orange line) had an AUC of 0.82 (P = 0.000); AST (blue lin...
ROC curves to predict: Severe diseases among all illness episodes, severe pneumonia among all pneumo...
<p>Values of the ROC curves for DNI, WBC, and CRP for predicting superimposed pneumonia in patients ...
<p>Fig 5 shows the combined ROC curves generated for the IgG index and the sCD163 ratio (5a), the CX...
ROC curves stratified by age to predict: Severe diseases among all illness episodes, severe pneumoni...
<p>ROC curve for predictive value of cytokines for GNB in patients with sepsis or intracranial infec...
<p>(<b>A</b>) ROC curve performance of the independent variables age and NIHSSS for relative lymphoc...
A. ROC curves and KM curves of LDH for prognosis in patients with AIS; B. ROC curves and KM curves o...
<p>Fig 4 shows the ROC curves generated for the sCD163 ratio (4a), the CXCL13 ratio (4b), the NEO ra...
ROC curves of NLR, WBC, NEU, and LYM to predict the frequency of the need for invasive mechanical ve...
<p>The areas under the ROC curve (AUCs) for the CIRP level, the APACHE II score, the SOFA score, the...
<p>AUC, with 95% CI, is given for each parameter. The parameter results for patients with MS/CIS are...
<p>ROC curves for cardiovascular morbidity and mortality of three models: traditional risk markers (...
a<p>Under the nonparametric assumption; <sup>b</sup>Null hypothesis: true area = 0.5.</p>*<p>Subjec...
<p>ROC curve for the performances of inflammatory cytokine levels and CRP to rule out the possibilit...
(A) The combination of the EOS% and BAS% (orange line) had an AUC of 0.82 (P = 0.000); AST (blue lin...