Abstract:Objective To predict infant hyperbilirubinemia intuitively, effectively and accurately with a combined quantified risk matrix built by infant hour-specific transcutaneous bilirubin (TCB) and the score system of clinical risk factors. Methods In total, 5,250 healthy term and near-term newborns (gestational age ≥35 weeks, birth weight ≥2,000 g) from Guizhou Provincial Hospital of Maternal and Child Health Care were included and their TCB values were continuously recorded in 168 hours after birth. The TCB values in the risk zones were used as the predictors. The hour-specific TCB nomograms were applied to establish a combined quantified risk matrix model with clinical risk factors. Results The conic curve fitting the TCB nomograms with the quadratic equation showed that the TCB level increased fastest in 24-48 h, subsequently decreased. The univariate analysis showed that the infants in high risk zone after 72 h were associated with gestational age (GA), delivery mode, premature rupture of membranes (PROM) and feeding patterns. The multivariate analysis showed that the infants in high risk zone after 72 h were correlated with birth weight,delivery mode, PROM and feeding patterns. The likelihood of the participants with GA of 36.01-39.99 w in the high risk zone after 72 h was 1.73 times that of the infants with GA of 40.00 w. Comparing to the infants by vaginal delivery, those by cesarean section were 51% less likely to be in high risk zone after 72 h.The infants with artificial feeding were more likely to be in high risk zone after 72 h compared to those with mixed feeding [OR = 2.173, 95% CI (1.267, 3.683) ]. A combined quantified matrix model was built by TCB risk zones and four clinical risk levels, which had 12 blocks. The 12 blocks were grouped into 4 risk levels,namely very high (VH), high (H), median (M) and low (L) to predict the likelihood of hyperbilirubinemia. Conclusions Based on the combined quantified matrix model and hour-specific TCB nomograms, infants are assigned into four risk levels to facilitate the implementation of accurate interview and prevent neonatal jaundice effectively.