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Table 2 Optimal cut-off values and other measures of usefulness for predicting bronchial hyperresponsiveness in suspected classic asthma patients with FEV1% ≥ 80%

From: Airway inflammation, bronchial hyperresponsiveness, and anti-asthma therapy responses in cough variant asthma and classic asthma with FEV1% ≥80% predicted

Characteristic variables

AUC

95% CI of AUC

Cut-off value

Sensitivity %

Specificity %

PPV %

NPV %

p value

FEV1, %pred

0.621

0.572 to 0.669

≤ 98.8

54.95

66.5

62.4

59.4

< 0.0001

FEV1/FVC, %

0.672

0.623 to 0.717

≤ 81.07

60.89

69

66.5

63.6

< 0.0001

PEF, %pred

0.631

0.582 to 0.678

≤ 109.83

74.75

45.5

58.1

64.1

< 0.0001

MEF75, %pred

0.688

0.641 to 0.733

≤ 94.6

54.46

76

69.6

62.3

< 0.0001

MEF50, %pred

0.734

0.688 to 0.776

≤ 76.2

58.42

77

72

64.7

< 0.0001

MEF25, %pred

0.652

0.603 to 0.698

≤ 64.1

62.38

64.5

64

62.9

< 0.0001

MMEF, %pred

0.715

0.668 to 0.758

≤ 78.8

74.26

60.5

65.5

69.9

< 0.0001

FENO, ppb

0.728

0.682 to 0.771

> 30

57.92

81.5

76

65.7

< 0.0001

EOS in blood, cell/µl

0.670

0.608 to 0.728

> 0.16

55.07

77.19

74.5

58.7

< 0.0001

EOS% in blood, %

0.673

0.611 to 0.730

> 2.8

50

80.7

75.8

57.1

< 0.0001

  1. AUC, Area under the curve; PPV, Positive predictive values; NPV, Negative predictive values; 95% CI, 95% confidence interval of odds ratio; P value, the p value of the logistic regression test
  2. The other abbreviations are as defined for Table 1
  3. The cut-off points were selected by maximizing the sum of sensitivity and specificity
  4. Bold font indicates AUC higher than 0.70