Construction and Evaluation of the Factors Influencing the Severity of Neonatal Acute Respiratory Distress Syndrome and the Nomogram Prediction Model
Objective:To explore the influencing factors of the severity of neonatal acute respiratory distress syndrome(NARDS)based on Montreux diagnostic criteria,and construct a nomogram model to predict the risk.Methods:The clinical data of 165 child patients with Montreux diagnostic criteria for NARDS were analyzed.Child patients were divided into mild group,moderate group and severe group according to the oxygen index,the number of cases was 67,57 and 41 cases respectively.Multivariate logistic regression was used to analyze the related factors of the severity of NARDS and a nomogram prediction model was constructed.Results:Premature neonatal septicemia,primiparity,auxiliary ventilation time,serum neutrophil count(NEU),procalcitonin(PCT),C-reactive protein(CRP)levels were independent risk factors affecting the severity of NARDS(P＜0.05),the nomogram model prediction curve was in good agreement with the ideal curve.Conclusion:Prevention of perinatal infection,attention to prenatal care of pregnant women,avoidance of unnecessary assisted ventilation,and regular monitoring of inflammatory markers such as NEU,PCT and CRP can help reduce the risk of severe NARDS.The nomogram prediction model base on the above factors has a high predictive value for the severity of NARDS.
Montreux diagnostic criteriaNeonateAcute respiratory distress syndromeNomogram prediction modelDegree of illness
万方数据
维普
