Gori Laura, Amendolea Antonella, Buonsenso Danilo, Salvadori Stefano, Supino Maria Chiara, Musolino Anna Maria, Adamoli Paolo, Coco Alfina Domenica, Trobia Gian Luca, Biagi Carlotta, Lucherini Marco, Leonardi Alberto, Limoli Giuseppe, Giampietri Matteo, Sciacca Tiziana Virginia, Morello Rosa, Tursi Francesco, Soldati Gino
Pediatric Unit, Valle del Serchio General Hospital, 55051 Barga, Italy.
Pediatric Unit, Cecina Civil Hospital, 57023 Cecina, Italy.
J Clin Med. 2022 Jul 21;11(14):4233. doi: 10.3390/jcm11144233.
There is increasing recognition of the role of lung ultrasound (LUS) to assess bronchiolitis severity in children. However, available studies are limited to small, single-center cohorts. We aimed to assess a qualitative and quantitative LUS protocol to evaluate the course of bronchiolitis at diagnosis and during follow-up. This is a prospective, multicenter study. Children with bronchiolitis were stratified according to clinical severity and underwent four LUS evaluations at set intervals. LUS was classified according to four models: (1) positive/negative; (2) main LUS pattern (normal/interstitial/consolidative/mixed) (3) LUS score; (4) LUS score with cutoff. Two hundred and thirty-three children were enrolled. The baseline LUS was significantly associated with bronchiolitis severity, using both the qualitative (positive/negative LUS p < 0.001; consolidated/normal LUS pattern or mixed/normal LUS p < 0.001) and quantitative models (cutoff score > 9 p < 0.001; LUS mean score p < 0.001). During follow-up, all LUS results according to all LUS models improved (p < 0.001). Better cut off value was declared at a value of >9 points. Conclusions: Our study supports the role of a comprehensive qualitative and quantitative LUS protocol for the identification of severe cases of bronchiolitis and provides data on the evolution of lung aeration during follow-up.
肺超声(LUS)在评估儿童细支气管炎严重程度方面的作用日益受到认可。然而,现有研究仅限于小型单中心队列。我们旨在评估一种定性和定量的LUS方案,以评估细支气管炎在诊断时及随访期间的病程。这是一项前瞻性多中心研究。患有细支气管炎的儿童根据临床严重程度进行分层,并在设定的间隔时间接受四次LUS评估。LUS根据四种模式进行分类:(1)阳性/阴性;(2)主要LUS模式(正常/间质/实变/混合);(3)LUS评分;(4)有临界值的LUS评分。共纳入233名儿童。使用定性(阳性/阴性LUS,p<0.001;实变/正常LUS模式或混合/正常LUS,p<0.001)和定量模型(临界值评分>9,p<0.001;LUS平均评分,p<0.001)时,基线LUS与细支气管炎严重程度显著相关。在随访期间,根据所有LUS模式的所有LUS结果均有所改善(p<0.001)。宣布更好的临界值为>9分。结论:我们的研究支持综合定性和定量LUS方案在识别严重细支气管炎病例中的作用,并提供随访期间肺通气演变的数据。