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Table 3 Logistic regression analyses of biomarkers in predicting severe acute pancreatitis

From: Serum microRNAs as novel biomarkers for early prediction of disease severity in patients with acute pancreatitis

Variables Cutoff Univariate analyses Multivariate analyses
OR (95% CI) p OR (95% CI) p
Model 1a
miR-19a (×10−5) 14 433.5 (46.4–4047.1) < 0.001 69.2 (4.8–992.2) 0.002
miR-143 (× 10− 5) 58 272.0 (31.3–2364.8) < 0.001 13.5 (0.7–244.8) 0.078
miR-374-5p (× 10− 5) 33 NA 0.997   
CRP (mg/L) 8 NA 0.997   
Model 2b
miR-19a (×10−5) 17 9.7 (3.3–28.0) < 0.001   
miR-143 (×10−5) 88 11.6 (4.1–32.6) < 0.001 18.1 (4.7–69.3) < 0.001
miR-374-5p (×10−5) 45 7.7 (2.9–20.5) < 0.001   
CRP (mg/L) 36 18.2 (5.8–57.3) < 0.001 11.5 (3.2–41.9) < 0.001
Model 3c
miR-19a (×10−5) 24 6.0 (1.9–18.6) 0.002   
miR-143 (×10−5) 142 3.3 (1.3–8.3) 0.012 6.8 (2.0–22.7) 0.002
miR-374-5p (×10−5) 63 3.9 (1.5–9.9) 0.005   
CRP (mg/L) 114 4.5 (1.6–12.6) 0.004 3.8 (1.4–10.6) 0.011
Model 4d
miR-19a (×10−5) 18 5.8 (2.5–13.3) < 0.001   
miR-143 (×10−5) 101 6.4 (2.8–15.0) < 0.001 4.5 (1.8–10.9) 0.001
miR-374-5p (×10−5) 50 5.7 (2.3–14.4) < 0.001   
CRP (mg/L) 114 4.6 (2.0–10.4) < 0.001 5.1 (2.1–12.4) < 0.001
  1. a the reference category was the HC; b the reference category was MAP; c the reference category was MSAP; d the reference category was MAP and MSAP. OR Odds ratio, CI Confidence intervals, NA Not assessed, as at least one cell has zero frequencies