. 2022 Jul 5;12:11340. doi: 10.1038/s41598-022-15609-5

Table 3.

Diagnostic equations of prediction models in differentiation between ITB and UCD.

Differential diagnosis	Equations
Model 1	P = 1/[1 + e^{−(−1.806+1.882X1+3.037X2+1.290X3+0.973X4–1.319X5+2.374X6+2.047X7)}] X1, abdominal pain; X2, perianal fistula; X3, illeus; X4, elevated CRP; X5, T-SPOT positive; X6, cobblestone appearance; X7, involvement of jejunum
Mode2	P = 1/[1 + e^{−(−1.488+1.524X1+2.408X2+1.250X3–1.633X4–1.305X5+1.306X6–1.692X7+1.332X8+1.513X9+2.071X10–2.027X11+1.457X12+2.647X13)}] X1, abdominal pain; X2, perianal abscess; X3, illeus; X4, hepatobiliary disease; X5, tuberculosis history; X6, eleveted CRP; X7, T-SPOT; X8, segmental lesions; X9, longitudinal ulcer; X10, jejunum involvement; X11, ascending colon involvement; X12, rectum involvement; X13, perianal fistula

Differential diagnosis

Equations

Model 1

P = 1/[1 + e^{−(−1.806+1.882X1+3.037X2+1.290X3+0.973X4–1.319X5+2.374X6+2.047X7)}]

X1, abdominal pain; X2, perianal fistula; X3, illeus; X4, elevated CRP; X5, T-SPOT positive; X6, cobblestone appearance; X7, involvement of jejunum

Mode2

P = 1/[1 + e^{−(−1.488+1.524X1+2.408X2+1.250X3–1.633X4–1.305X5+1.306X6–1.692X7+1.332X8+1.513X9+2.071X10–2.027X11+1.457X12+2.647X13)}]

X1, abdominal pain; X2, perianal abscess; X3, illeus; X4, hepatobiliary disease; X5, tuberculosis history; X6, eleveted CRP; X7, T-SPOT; X8, segmental lesions; X9, longitudinal ulcer; X10, jejunum involvement; X11, ascending colon involvement; X12, rectum involvement; X13, perianal fistula

Model 1: Pearson chi-square test based logistic regression; Model 2: LASSO regression based logistic regression.