Constructing a nomogram prediction model for OHE after TIPS
OHE
Based on multivariate analysis, age, ICG-R15, percentage of PPG decline, creatinine, and blood ammonia were identified as independent risk factors for OHE after TIPS. By using rms package of R software, independent factors were incorporated into a nomogram prediction model for OHE after TIPS. The expected probability of OHE after TIPS is obtained by drawing a line to the point axis to obtain the points received by the value of each variable, and the sum of these points corresponds to the total point axis (Fig. In the training cohort, a novel nomogram was constructed by combining risk variables including age, ICG-R15, percentage of PPG decline, creatinine and blood ammonia.