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Table 2 Prediction of remission for bDMARDs

From: Machine learning model for identifying important clinical features for predicting remission in patients with rheumatoid arthritis treated with biologics

 

Follow-up period (year), mean (sd)

Remission/total

Measurement

Baseline

Lasso

Ridge

SVM

Random forest

Xgboost

All bDMARDs

0.96 (0.30)

564/1397 (40.4%)

Sensitivity

0.0%

33.1%

29.6%

24.9%

0.6%

32.2%

Specificity

100.0%

79.9%

83.1%

85.1%

100.0%

80.5%

Accuracy

59.6%

61.0%

61.5%

60.5%

59.8%

62.0%

AUROC

0.500

0.614

0.619

0.602

0.608

0.596

TNF inhibitors

0.93 (0.32)

252/793 (31.8%)

Sensitivity

0.0%

10.7%

21.3%

9.3%

0.0%

20.0%

Specificity

100.0%

97.5%

92.6%

96.0%

100.0%

91.4%

Accuracy

68.2%

69.6%

70.0%

68.4%

68.4%

68.8%

AUROC

0.500

0.649

0.655

0.633

0.644

0.637

Non-TNF inhibitors

1.01 (0.27)

312/604 (51.7%)

Sensitivity

0.0%

62.4%

64.5%

62.4%

75.3%

57.0%

Specificity

100.0%

52.3%

51.7%

51.7%

33.3%

48.9%

Accuracy

51.7%

57.8%

57.8%

58.3%

55.3%

52.8%

AUROC

0.500

0.605

0.607

0.606

0.586

0.538

Adalimumab

0.93 (0.31)

91/289 (31.5%)

Sensitivity

0.0%

22.2%

29.6%

37.0%

0.0%

14.8%

Specificity

100.0%

91.5%

88.1%

81.4%

100.0%

93.2%

Accuracy

68.5%

69.8%

69.8%

67.4%

68.6%

69.8%

AUROC

0.500

0.680

0.688

0.663

0.623

0.629

Etanercept

0.99 (0.34)

75/220 (34.1%)

Sensitivity

0.0%

29.5%

36.4%

40.9%

0.0%

22.7%

Specificity

100.0%

86.0%

83.7%

79.1%

100.0%

88.4%

Accuracy

65.9%

67.7%

67.7%

66.2%

66.2%

64.6%

AUROC

0.500

0.634

0.656

0.643

0.656

0.619

Golimumab

0.97 (0.30)

41/122 (33.6%)

Sensitivity

0.0%

0.0%

41.7%

50.0%

0.0%

16.7%

Specificity

100.0%

100.0%

79.2%

66.7%

100.0%

95.8%

Accuracy

66.4%

66.7%

63.9%

61.1%

66.7%

66.7%

AUROC

0.500

0.615

0.694

0.623

0.659

0.635

Infliximab

0.85 (0.32)

45/162 (27.8%)

Sensitivity

0.0%

30.8%

23.1%

30.8%

0.0%

15.4%

Specificity

100.0%

82.9%

88.6%

80.0%

100.0%

85.7%

Accuracy

72.2%

66.7%

70.8%

64.6%

72.9%

66.7%

AUROC

0.500

0.595

0.626

0.544

0.600

0.511

Abatacept

0.99 (0.30)

62/194 (32.0%)

Sensitivity

0.0%

11.1%

30.6%

38.9%

0.0%

27.8%

Specificity

100.0%

94.9%

84.6%

75.6%

100.0%

82.1%

Accuracy

68.0%

68.4%

68.4%

63.2%

68.4%

64.9%

AUROC

0.500

0.635

0.679

0.636

0.618

0.598

Tocilizumab

1.01 (0.26)

250/410 (61.0%)

Sensitivity

0.0%

76.0%

81.3%

80.0%

80.0%

77.3%

Specificity

100.0%

29.2%

22.9%

22.9%

21.9%

22.9%

Accuracy

61.0%

57.7%

58.5%

61.0%

56.9%

56.1%

AUROC

0.500

0.552

0.555

0.556

0.522

0.512

  1. bDMARDs adalimumab, etanercept, golimumab, infliximab, abatacept, and tocilizumab, TNF inhibitors adalimumab, etanercept, golimumab, infliximab, non-TNF inhibitors abatacept and tocilizumab. N total number of samples for the drug category. Baseline accuracy: remission rate not achieved by clinicians except for tocilizumab and non-TNF inhibitors; baseline AUROC: the value when selecting random or one side