Table 4 Multivariate logistic regression with biomarkers and ocular parameters for detecting CAD.

From: A novel algorithm for cardiovascular screening using conjunctival microcirculatory parameters and blood biomarkers

Biomarkers/ocular parameters

AUROC

Sensitivity %

Specificity %

PPV%

NPV%

Log10 NT-proBNP, adiponectin, log10 H-FABP, Va

0.977

94.7

91.5

91.5

94.7

Log10 NT-proBNP, log10 adiponectin, log10 H-FABP, Vs

0.976

93.0

93.2

93.0

93.2

Log10 NT-proBNP, log10 adiponectin, Vs

0.967

93.0

91.5

91.4

93.1

Log10 NT-proBNP, log10 adiponectin, Va

0.966

94.7

93.2

93.1

94.8

Log10 H-FABP, log10 NT-proBNP, Va

0.953

88.1

91.9

91.2

89.1

Log10 H-FABP, log10 NT-proBNP, Vs

0.953

86.4

90.3

89.5

87.5

Log10 H-FABP, log10 NT-proBNP, log10 WSR

0.936

84.7

88.7

87.7

85.9

Log10 NT-proBNP, Vs

0.926

85.0

83.9

83.6

85.2

Log10 NT-proBNP, Va

0.925

83.3

85.5

84.7

84.1

IL-6, Vs

0.840

76.2

76.2

76.2

76.2

Log10 H-FABP, Vs

0.830

73.0

76.6

75.4

74.2

Log10 H-FABP, Va

0.815

73.0

71.9

71.9

73.0

CRP, D

0.810

79.4

67.2

71.4

75.9

Log10 adiponectin, log10 WSR

0.769

76.3

60.3

66.2

71.4

Log10 adiponectin, Va

0.721

76.2

53.1

61.5

69.4

Log10 adiponectin, D

0.702

72.1

54.2

62.0

65.3

Vs

0.706

63.1

73.4

70.7

66.2

Log10 adiponectin

0.674

65.6

62.5

63.6

64.5

Log10 NT-proBNP

0.897

78.7

90.6

88.9

81.7

QRISK3 score

0.732

71.7

64.9

68.3

68.5

Age (years)

0.604

59.1

57.6

58.2

58.5

  1. Significant values are in bold.
  2. CRP C-reactive protein, H-FABP heart-type fatty acid-binding protein, IL-6 interleukin-6, NT-proBNP N-terminal pro brain natriuretic peptide, D vessel diameter, Va axial velocity, Vs cross-sectional velocity, WSR wall shear rate, AUROC area under receiver operator characteristic curve, PPV positive predictive value, NPV negative predictive value.