Risk factors for neonatal asphyxia and establishment of a nomogram model for predicting neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture: a multicenter study / 中国当代儿科杂志

OBJECTIVES@#To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia.@*METHODS@#A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively.@*RESULTS@#Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia.@*CONCLUSIONS@#The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.

Effect of low-dose dopamine adjuvant therapy on inflammatory factors and prognosis in preterm infants with necrotizing enterocolitis / 中国当代儿科杂志

OBJECTIVE@#To study the effect of low-dose dopamine adjuvant therapy on inflammatory factors and prognosis in preterm infants with necrotizing enterocolitis (NEC).@*METHODS@#A total of 100 preterm infants with NEC from June 2017 to June 2019 were enrolled and divided into a dopamine treatment group and a conventional treatment group using a random number table, with 50 infants in each group. The infants in the conventional treatment group were given symptomatic treatment, and those in the dopamine treatment group were given low-dose dopamine adjuvant therapy in addition to the conventional treatment. ELISA was used to measure the levels of C-reactive protein (CRP), tumor necrosis factor-α (TNF-α), and interleukin-8 (IL-8). The two groups were compared in terms of time to relief of clinical symptoms, fasting time, treatment outcome, prognosis, and adverse reactions.@*RESULTS@#Both groups had significant reductions in the levels of CRP, TNF-α, and IL-8 after treatment, and the dopamine treatment group had significantly lower levels of these markers than the conventional treatment group after treatment (P0.05).@*CONCLUSIONS@#Low-dose dopamine adjuvant therapy can effectively improve the levels of inflammatory factors and clinical symptoms in preterm infants with NEC and has good safety, and therefore, it holds promise for clinical application.