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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