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Table 3 Summary statistics of AUROC according to quantile group by model 1 and model 2

From: Conditional diagnostic accuracy according to inflammation status and age for diagnosing tuberculous effusion

 

Quantile 1

Quantile 2

Quantile 3

Quantile 4

Quantile 5

WBC

1.3–5.9

5.9–7.3

7.3–8.92

8.92–11.7

11.7–222.7

Model 1

0.89 [0.88‒0.9]

0.92 [0.91‒0.92]

0.94 [0.93‒0.94]

0.88 [0.87‒0.9]

0.69 [0.66‒0.74]

Model 2

0.75 [0.73‒0.78]

0.8 [0.78‒0.82]

0.86 [0.84‒0.87]

0.77 [0.74‒0.79]

0.65 [0.61‒0.69]

CRP

0.1–0.48

0.48–1.81

1.81–5.13

5.13–11.89

11.89–60.61

Model 1

0.95 [0.94‒0.95]

0.92 [0.92‒0.93]

0.89 [0.88‒0.9]

0.87 [0.86‒0.88]

0.74 [0.72‒0.76]

Model 2

0.74 [0.71‒0.77]

0.83 [0.81‒0.85]

0.83 [0.82‒0.85]

0.84 [0.83‒0.85]

0.78 [0.76‒0.8]

LD

62–174

174–206

206–244

244–309

309–5591

Model 1

0.9 [0.89‒0.91]

0.87 [0.86‒0.88]

0.89 [0.88‒0.9]

0.85 [0.84‒0.87]

0.9 [0.9‒0.91]

Model 2

0.82 [0.8‒0.84]

0.79 [0.77‒0.81]

0.81 [0.8‒0.83]

0.72 [0.7‒0.75]

0.84 [0.83‒0.86]

Age

18–55

55–64

64–71

71–77

77–98

Model 1

0.87 [0.86‒0.88]

0.88 [0.87‒0.89]

0.88 [0.87‒0.89]

0.86 [0.85‒0.88]

0.86 [0.84‒0.88]

Model 2

0.75 [0.74‒0.77]

0.79 [0.76‒0.81]

0.84 [0.82‒0.86]

0.78 [0.77‒0.8]

0.84 [0.82‒0.85]

  1. Model 1 denotes the logistic regression model using ADA to predict tuberculous effusion. Model 2 used ADA and lymphocyte/neutrophil ratio to predict tuberculous effusion. The AUROC is summarised as the mean and inter-quantile values of all simulated sampled data.