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. 2019 Feb 15;25(6):431–436. doi: 10.1016/j.jiac.2019.01.012

Table 4.

Logistic regression model for predicting EBV-IM using hepatobiliary biomarkers (model 3).

Odds ratio [95% CI] p-value
Age
 <31 years 1 N/A
 31–40 years 0.24 [0.049–1.24] 0.082
 >40 years 0.029 [0.0036–0.24] 0.001
Cervical lymphadenopathy 7.13 [1.89–26.95] 0.004
Tonsillar white coat 12.20 [1.67–89.23] 0.014
Hepatosplenomegaly 2.51 [0.70–9.03] 0.16
Leukocytosis 3.01 [0.64–14.11] 0.16
Atypical lymphocytes
 <11% 1 N/A
 11–30% 11.51 [1.03–129.01] 0.048
 >30% 4.53 [0.67–30.57] 0.12
ALT
 <41 IU/L 1 N/A
 41–200 IU/L 0.33 [0.043–2.57] 0.29
 >200 IU/L 0.25 [0.013–4.95] 0.37
LDH
 <251 IU/L 1 N/A
 251–500 IU/L 17.65 [1.08–289.53] 0.044
 >500 IU/L 13.01 [0.62–274.83] 0.099
ALP
 <351 IU/L 1 N/A
 351–500 IU/L 0.50 [0.062–4.06] 0.52
 >500 IU/L 3.23 [0.30–34.3] 0.33
GGT
 <51 IU/L 1 N/A
 51–300 IU/L 11.11 [1.46–71.48] 0.02
 >300 IU/L 11.82 [0.41–337.04] 0.15

ALP, alkaline phosphatase; ALT, alanine aminotransferase; CI, confidence interval; CRP, C-reactive protein; EBV-IM, infectious mononucleosis caused by the Epstein-Barr virus; GGT, gamma-glutamyl transferase; LDH, lactate dehydrogenase; N/A, not applicable.