Analysis of the correlation between inflammatory factors and bronchopulmonary dysplasia in premature infants
Objective This paper aims to observe the predictive value of serum granulocyte colony stimulating factor(G-CSF),interleukin-10(IL-10),monocyte chemoattractant protein-1(MCP-1)for bronchopulmonary dysplasia(BPD)in preterm infants,and to establish a nomogram risk model to provide reference for the prevention of BPD in preterm infants.Methods A total of 288 preterm infants admitted to two hospitals from December 2018 to February 2023 were selected,and those with BPD were included in the BPD group,while those without BPD were included in the non-BPD group.The serum levels of G-CSF,IL-10,MCP-1 and general data were compared between the non-BPD group and the BPD group.The influencing factors of BPD in preterm infants were analyzed by multivariate stepwise logistic regression method.A nomogram risk model for BPD in preterm infants was established.The efficacy of the nomogram risk model was validated by internal data.The clinical net benefit of the nomogram risk model was evaluated by decision curve.Results Among 288 preterm infants,15 still needed oxygen therapy after birth at 28 d,and 16 had a gestational age＜32 weeks and still needed mechanical ventilation or oxygen therapy when corrected to gestational age 36 weeks,who were included in the BPD group,while the remaining 257 were included in the non-BPD group.Compared with the non-BPD group,serum G-CSF and MCP-1 levels were increased while IL-10 levels were decreased in the BPD group(P＜0.05).Compared with the non-BPD group,gestational age＜28 weeks,birth weight＜1.5 kg,patent ductus arteriosus percentage were increased in the BPD group(P＜0.05).Multivariate stepwise logistic regression analysis showed that patent ductus arteriosus,G-CSF and MCP-1 were risk factors for BPD in pre-term infants,while gestational age,birth weight and IL-10 were protective factors(P＜0.05).Internal validation results showed that the consistency index(C-index)of nomogram risk model was 0.811(95％CI:0.754-0.868).Decision curve analysis based on patient data showed that when nomogram risk model predicted threshold＞0.06 for BPD risk in preterm infants,it provided additional clinical benefit.Conclusion The nomogram risk model based on serum G-CSF,IL-10 and MCP-1 has good efficacy and can improve accuracy of predicting BPD risk in preterm infants.
NETL
NSTL
万方数据
维普
