Application value of point-of-care lung ultrasound scoring in selecting respiratory support treatment for neonatal infectious pneumonia
Objective To investigate the application value of point-of-care lung ultrasound(POC-LUS)scoring in selecting respiratory support treatment modalities for neonatal infectious pneu-monia(NIP).Methods A total of 89 NIP patients were selected as the study subjects and divided into control group(no assisted ventilation)with 46 cases,noninvasive group(noninvasive assisted ventilation)with 28 cases,and invasive group(invasive mechanical ventilation)with 15 cases based on the degree of dyspnea and blood gas analysis results.The POC-LUS scores of the three groups were compared,and the correlations of POC-LUS scores with arterial oxygen partial pressure[pa(O2)]and arterial carbon dioxide partial pressure[pa(CO2)]were analyzed.Receiver operating characteristic(ROC)curves were plotted to assess the predictive efficacy of POC-LUS scores for the need for nonin-vasive assisted ventilation or invasive mechanical ventilation in NIP patients.Results The POC-LUS scores of the noninvasive group and the invasive group were(31.7±7.3)and(42.1±8.0),respec-tively,which were higher than(21.5±7.3)of the control group.Additionally,the score of the inva-sive group was higher than that of the noninvasive group(P＜0.05).Correlation analysis revealed a significant negative correlation between POC-LUS scores and pa(O2)(r=-0.802,P＜0.05),and a significant positive correlation with pa(CO2)(r=0.807,P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of POC-LUS scores for predicting the need for noninvasive assisted ventilation and invasive mechanical ventilation were 0.918(95％CI,0.862 to 0.973)and 0.938(95％CI,0.889 to 0.987),respectively.The sensitivity was 0.767 and 0.933,and the specificity was 0.935 and 0.824,with optimal cutoff values of 29.5 and 31.5,respectively.Conclusion POC-LUS scoring can quantitatively assess the severity of lung lesions in NIP patients and serves as a guiding tool for clinicians in selecting assisted ventilation treatment modalities.
万方数据
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