| 许 敏,蒋 煊,张忠新,奚文君,陆世春.肺超声评分在预测新生儿肺不张疾病中的临床价值[J].,2021,(21):4091-4094 |
| 肺超声评分在预测新生儿肺不张疾病中的临床价值 |
| The Clinical Value of Lung Ultrasound Score in Predicting Neonatal Atelectasis Disease |
| 投稿时间：2021-03-04 修订日期：2021-03-28 |
| DOI：10.13241/j.cnki.pmb.2021.21.019 |
| 中文关键词: 肺超声 肺超声评分 新生儿肺不张 预测价值 敏感性 特异性 |
| 英文关键词: Lung ultrasound Lung ultrasound score Neonatal atelectasis Predictive value Sensitivity Specificity |
| 基金项目:江苏省2017年高层次卫生人才"六个一工程"拔尖人才项目资助（LGY2017037） |
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| 中文摘要: |
| 摘要 目的：探讨肺超声评分在预测新生儿肺不张疾病中的临床价值。方法：2018年3月到2021年4月选择在本院新生儿重症监护病房(neonatal intensive care unit，NICU)诊治的83例新生儿肺不张疾病作为肺不张组，同期选择在本院出生的无呼吸系统疾病新生儿83例作为对照组，所有新生儿都给予肺超声，记录超声特征并进行肺超声评分，判断肺超声诊断价值与预测预测新生儿肺不张疾病的效果。结果：肺不张组的肺超声评分高于对照组(P<0.05)。在166例新生儿中，肺超声判断为肺不张82例，肺超声诊断新生儿肺不张疾病的敏感性与特异性分别为100.0%(82/82)和98.8%(83/84)。在166例新生儿中，Spearsman相关性分析显示新生儿肺不张疾病与肺超声评分存在相关性(r=0.633，P=0.000)。受试者工作特征(Receiver operating characteristics，ROC)曲线分析显示肺超声评分预测新生儿肺不张疾病肺炎曲线下面积(Area under the curve，AUC)为0.888(95%CI=1.472-3.572)。新生儿肺不张疾病在肺超声上主要表现为胸膜线增厚并模糊，粗糙不平，A线存在，肺滑动征消失，多发典型B线与多发融合B线。结论：肺超声是简便、无放射性损伤、准确的检查方法，肺超声评分能有效预测新生儿肺不张疾病中的发生，也能提高对新生儿肺不张疾病的诊断效果。 |
| 英文摘要: |
| ABSTRACT Objective: To explore the clinical values of lung ultrasound score in predicting neonatal atelectasis disease. Methods: From March 2018 to April 2021, 83 cases of neonatal atelectasis disease diagnosed and treated in the neonatal intensive care unit (NICU) of this hospital were selected as the atelectasis group, and the other 83 cases of no respiratory system diseases were born in this hospital during the same were selected as the control group. All newborns were given lung ultrasound, the ultrasound characteristics were recorded and the lung ultrasound scores were performed to determine the diagnostic value of lung ultrasound and predicted the effects of predicting neonatal atelectasis disease. Results: The lung ultrasound score of the atelectasis group were higher than that of the control group (P<0.05). There were 82 cases of were diagnosed as atelectasis by lung ultrasound in the 166 cases. The sensitivity and specificity of lung ultrasound in diagnosing neonatal atelectasis were 100.0%(82/82) and 98.8%(83/84), respectively. Spearsman correlation analysis showed that there were correlation between neonatal atelectasis disease and lung ultrasound score(r=0.633, P=0.000) in the 166 cases. Receiver operating characteristics (ROC) curve analysis showed that the lung ultrasound score predicted the area under the curve (AUC) of neonatal atelectasis disease pneumonia were 0.888 (95%CI=1.472-3.572). Neonatal atelectasis disease were mainly manifested on lung ultrasound as thickened and blurred pleural lines, rough and uneven, the presence of A-line, the disappearance of lung sliding signs, and multiple typical B-lines and multiple fusion B-lines. Conclusion: Lung ultrasound are a simple, no-radiation-damaged and accurate examination method. Lung ultrasound scores can effectively predict the occurrence of neonatal atelectasis disease and improve the diagnostic effect of neonatal atelectasis disease. |
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