Power calculations. Table S1. Power calculation for sensitivity estimates for each target infection. Table S2. Power calculation to detect C-reactive protein and procalcitonin concentration differences between target disease pairs (DOCX 19 kb
Complete analysis of cytokine levels in serum and exhaled breath condensate according to the severit...
Figure S1. ROC curve for IGRA according to the risk of infection with TB in HIV-infected patients at...
Figure S1. Faganâs nomogram of PCT and P-SEP to calculate the positive/negative post-test probabil...
Baseline characteristics including participants with mixed infection. (PDF 105 kb
Descriptions of biomarker analysis methods and Multiplex PCR methods. (DOC 24Â kb
C-reactive protein and procalcitonin ROC curves predicting definite community-acquired pneumonia dia...
Table S1. Biomarker loadings for each factor in primary CTF analysis (Nâ=â290). (DOCX 18 kb
Figure S1 A. ROC curve for blood WCC concentration for differentiating definite bacterial pneumonia ...
Figure S1. PâP plots of PCT and logPCT. Figure S2. AUC plots for ROC analyses. Tables S1 and S2. R...
Table S2. Biomarker loadings for factors in severe outcomes analysis (Nâ=â254). (DOCX 15 kb
Table S1 shows the distribution of four common respiratory bacteria detected by PCR in the nasophary...
Additional etiological findings in the patients with or without bacterial infection. (DOCX 15 kb
Figure S1. Receiver operating characteristic (ROC) curve using the top discriminatory features betwe...
Table S1. The characteristics of the studies included. Table S2. The characteristics of the studies ...
Biomarker at baseline and day seven as predictors for days with restricted activities or persistence...
Complete analysis of cytokine levels in serum and exhaled breath condensate according to the severit...
Figure S1. ROC curve for IGRA according to the risk of infection with TB in HIV-infected patients at...
Figure S1. Faganâs nomogram of PCT and P-SEP to calculate the positive/negative post-test probabil...
Baseline characteristics including participants with mixed infection. (PDF 105 kb
Descriptions of biomarker analysis methods and Multiplex PCR methods. (DOC 24Â kb
C-reactive protein and procalcitonin ROC curves predicting definite community-acquired pneumonia dia...
Table S1. Biomarker loadings for each factor in primary CTF analysis (Nâ=â290). (DOCX 18 kb
Figure S1 A. ROC curve for blood WCC concentration for differentiating definite bacterial pneumonia ...
Figure S1. PâP plots of PCT and logPCT. Figure S2. AUC plots for ROC analyses. Tables S1 and S2. R...
Table S2. Biomarker loadings for factors in severe outcomes analysis (Nâ=â254). (DOCX 15 kb
Table S1 shows the distribution of four common respiratory bacteria detected by PCR in the nasophary...
Additional etiological findings in the patients with or without bacterial infection. (DOCX 15 kb
Figure S1. Receiver operating characteristic (ROC) curve using the top discriminatory features betwe...
Table S1. The characteristics of the studies included. Table S2. The characteristics of the studies ...
Biomarker at baseline and day seven as predictors for days with restricted activities or persistence...
Complete analysis of cytokine levels in serum and exhaled breath condensate according to the severit...
Figure S1. ROC curve for IGRA according to the risk of infection with TB in HIV-infected patients at...
Figure S1. Faganâs nomogram of PCT and P-SEP to calculate the positive/negative post-test probabil...