Abstract:Objective To analyze the predictive value of Krebs von den Lungen-6 (KL-6) combined with macrophage migration inhibitory factor (MIF) for the prognosis of neonatal respiratory distress syndrome (NRDS).Methods A total of 87 children with NRDS admitted to Northwest Women's and Children's Hospital from March 2021 to August 2023 were selected. The levels of KL-6 and MIF were detected by enzyme-linked immunosorbent assay (ELISA) within 2 hours after admission and 6 hours after delivery, as well as arterial partial pressure of oxygen (PaO2), arterial partial pressure of carbon dioxide (PaCO2), and oxygenation index (OI). Provide symptomatic and comprehensive treatment for the child patient, including respiratory support, alveolar surfactant replacement, extracorporeal membrane oxygenation, nutritional support, anti-infection and fluid management. The children were followed up for 3 months and divided into the good prognosis group and the poor prognosis group according to their prognosis. Compare the basic data and serological indicators of the two groups of children patients; Multivariate general Logistic regression model was used to analyze the influencing factors of prognosis in children with NRDS, and the receiver operating characteristic (ROC) curve was plotted.Result Among the 87 children with NRDS, 22 cases (25.29%) had a poor prognosis. Among them, 11 cases gave up treatment, 6 cases were transferred to other hospitals, and 5 cases died. The Acute Physiology score, perinatal Supplementary Ⅱ (SNAPPE-Ⅱ) score and lung ultrasound score (LUSS) score in the poor prognosis group were all higher than those in the good prognosis group (P < 0.05). The levels of KL-6 and MIF in the poor prognosis group were both higher than those in the good prognosis group (P < 0.05).Results of multivariate general Logistic regression analysis showed that high level of KL-6 [O^R = 3.508 (95% CI: 1.199, 10.263) ], high level of MIF [O^R = 4.993 (95% CI: 1.707, 14.608) ], high SNAPPE-Ⅱ score [O^R = 5.743 (95% CI: 1.963, 16.803) ], and high LUSS score [O^R = 4.933 (95% CI: 1.686, 14.433) ] were all risk factors for poor prognosis in children with NRDS (P < 0.05). ROC curve analysis results: The area under the curve for the combined prediction of poor prognosis in children with NRDS by KL-6, MIF, SNAPPE-Ⅱ score, and LUSS score was 0.906 (95% CI: 0.812, 1.000), and the sensitivity was 90.91% (95% CI: (0.797, 1.000), specificity was 93.85% (95% CI: 0.827, 1.000), and the combined predictive efficacy was good.Conclusion High KL-6 level, high MIF level, high SNAPPE-Ⅱ score and high LUSS score are all risk factors for poor prognosis in children with NRDS. Moreover, the combined prediction of KL-6, MIF, SNAPPE-Ⅱ score, and LUSS score has a high predictive value for poor prognosis in children with NRDS. Early identification and correction of reversible factors can help improve the prognosis.