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Table 4 Predictive performance of early warning model and other factors for predicting bloodstream infection in the elderly population

From: Early warning of bloodstream infection in elderly patients with circulating microparticles

Variables

Cutoff

AUC 95% CI

Sensitivity

Specificity

PPV

NPV

P

Y

3.5

0.884(0.826, 0.942)

86.8%

76.5%

70.8%

89.8%

 < 0.0001

Monocyte counts1,

 ≤ 0.4 × 109/L

 

0.645(0.548, 0.741)

62.3%

66.7%

55.0%

73.0%

0.005

PCT1, μg/L

0.185

0.630(0.530, 0.729)

60.4%

67.9%

55.2%

72.4%

0.012

PCT2, μg/L

2.76

0.807(0.731, 0.884)

69.8%

82.1%

71.2%

81.2%

 < 0.0001

T-MPs1, events/μL

6000

0.751(0.663, 0.839)

81.1%

69.9%

63.2%

85.3%

 < 0.0001

LMPs1, events/μL

450

0.642(0.546, 0.739)

75.5%

51.8%

50.0%

76.8%

0.006

NMPs1, events/μL

500

0.748(0.664, 0.831)

92.5%

57.8%

58.3%

92.3%

 < 0.0001

  1. PCT procalcitonin, MPs microparticles, T-MPs total microparticles, LMPs leukocyte-derived microparticles, NMPs neutrophil-derived microparticles, PPV positive predictive value, NPV negative predictive value
  2. 1: within 6 h; 2: day 2