Literature DB >> 30601352

Lung Ultrasound Findings and Bronchiolitis Ultrasound Score for Predicting Hospital Admission in Children With Acute Bronchiolitis.

Ahmet Kağan Özkaya1,2, Hayri Levent Yilmaz3, Özlem Tolu Kendir3, Sinem Sari Gökay3, İlker Eyüboğlu4.   

Abstract

OBJECTIVES: The purposes of this study were to determine the benefit of the bronchiolitis ultrasound score (BUS) in predicting hospital admission in children with acute bronchiolitis and to characterize lung sonography findings.
METHODS: This prospective observational study was performed in an academic pediatric emergency department. Children younger than 24 months presenting to the emergency department, diagnosed with acute bronchiolitis by 2 independent pediatricians were included in the study. Lung ultrasound was performed by a single sonographer, who was blinded to as much clinical information as possible. In addition, the treating physicians were blinded to the lung ultrasound findings. Logistic regression analysis models were used to identify admission predictors. Receiver operating characteristic analysis was used to evaluate the predictive value for effects of the BUS and the modified Bronchiolitis Severity Score on admission.
RESULTS: The median age of the 76 patients diagnosed with acute bronchiolitis was 6 months (interquartile range, 3.6-10 months). Forty-two (55.3%) of the 76 patients enrolled were admitted. Lung ultrasound was compatible with acute bronchiolitis in 74 patients (97%). A significant correlation was determined between modified Bronchiolitis Severity Score and BUS in children with acute bronchiolitis (r = 0.698, P < 0.001). The most effective parameter in determining admission on logistic regression analysis, independently of other variables, was BUS (P = 0.044; adjusted odds ratio, 1.859; 95% confidence interval, 1.016-3.404). Bronchiolitis ultrasound score values of 3 or greater exhibited 73.81% sensitivity and 73.53% specificity, whereas BUS values of 4 or greater exhibited 50% sensitivity and 91.18% specificity.
CONCLUSIONS: Point-of-care lung ultrasound can accurately detect pulmonary anomalies in children with acute bronchiolitis, has a close correlation with clinical findings, and is a useful tool in predicting hospital admission.

Entities:  

Year:  2020        PMID: 30601352     DOI: 10.1097/PEC.0000000000001705

Source DB:  PubMed          Journal:  Pediatr Emerg Care        ISSN: 0749-5161            Impact factor:   1.454


  5 in total

1.  Ultrasound as diagnosis tool for grading bronchiolitis: where are your limits lost?

Authors:  Maria Elena Latrofa; Antonio M Esquinas; Leonardo Costa
Journal:  Eur J Pediatr       Date:  2019-07-23       Impact factor: 3.183

2.  Lung ultrasound allows for earlier diagnosis of bronchiolitis than auscultation: an animal experiment and human case series.

Authors:  Paul Walsh; Francisco R Carvallo Chaigneau; Maxim Lebedev; Victoria Mutua; Heather McEligot; Samuel H F Lam; Benjamin Hwang; Heejung Bang; Laurel J Gershwin
Journal:  J Ultrasound       Date:  2022-02-18

3.  Consensus on the Application of Lung Ultrasound in Pneumonia and Bronchiolitis in Children.

Authors:  Joanna Jaworska; Anna Komorowska-Piotrowska; Andrzej Pomiećko; Jakub Wiśniewski; Mariusz Woźniak; Błażej Littwin; Magdalena Kryger; Piotr Kwaśniewicz; Józef Szczyrski; Katarzyna Kulińska-Szukalska; Natalia Buda; Zbigniew Doniec; Wojciech Kosiak
Journal:  Diagnostics (Basel)       Date:  2020-11-11

4.  Prognostic Role of Lung Ultrasound in Children with Bronchiolitis: Multicentric Prospective Study.

Authors:  Laura Gori; Antonella Amendolea; Danilo Buonsenso; Stefano Salvadori; Maria Chiara Supino; Anna Maria Musolino; Paolo Adamoli; Alfina Domenica Coco; Gian Luca Trobia; Carlotta Biagi; Marco Lucherini; Alberto Leonardi; Giuseppe Limoli; Matteo Giampietri; Tiziana Virginia Sciacca; Rosa Morello; Francesco Tursi; Gino Soldati
Journal:  J Clin Med       Date:  2022-07-21       Impact factor: 4.964

5.  Validating a bovine model for lung ultrasound of bronchiolitis.

Authors:  Paul Walsh; Francisco R Carvallo Chaigneau; Maxim Lebedev; Victoria Mutua; Heather McEligot; Samuel H F Lam; Benjamin Hwang; Heejung Bang; Laurel J Gershwin
Journal:  J Ultrasound       Date:  2022-01-24
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.