Substantiating and Adopting Lung Ultrasound Scores to Predict Surfactant Need in Preterm Neonates with Respiratory Distress Syndrome within an Institution

被引:0
作者
Chan, Belinda [1 ,2 ]
Torsitano, Christopher
Gordon, Sasha
Konana, Olive
Singh, Yogen
机构
[1] Univ Utah, Dept Pediat, Neonatol Div, 295 Chipeta Way, Salt Lake City, UT 84108 USA
[2] Univ Utah, Dept Radiol & Imaging Sci, Salt Lake City, UT 84108 USA
关键词
point of care ultrasound; lung ultrasound; lung ultrasound scores; preterm neonates; respiratory distress syndrome; surfactant;
D O I
10.1055/s-0044-1779500
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
Objective Administering surfactant timely and appropriately is important to minimize lung injury but remains challenging in preterm neonates with respiratory distress syndrome. The published literature supports that lung ultrasound (LUS) score can predict surfactant need. Neonatal LUS scanning specification and parameter setting guidelines have been recently published for standardization. However, variations in scanning protocols and machine settings hinder its clinical implementation widely. This observational study aims to internally validate the suggested LUS protocol in a neonatal intensive care unit to establish a correlation between LUS scores and surfactant need as the first step of integrating LUS in the clinical practice. Study Design LUS was performed on 40 eligible preterm neonates within 3 hours after birth or before surfactant administration between May 2020 and March 2021. The neonates were between 27 and 32 weeks' gestational age, and all had respiratory distress. Neonates with known congenital anomalies were excluded. A high-frequency linear probe was used to obtain LUS images from six lung zones which were scored using a 0 to 3 system, yielding a maximum of 18 points. Treating physicians were blinded to the LUS score. Receiver operating characteristic analysis determined the optimal LUS score cutoff for predicting surfactant need. Results Fifteen of the 40 neonates (38%) required higher oxygen fraction and received surfactant. In our cohort, an LUS score >= 10 was identified as the optimal cutoff for predicting surfactant need, with a sensitivity of 80% and specificity of 84%. The area under the curve was 0.8 ( p = 0.0003). LUS predicted surfactant need at a median of 3.5 hours earlier than traditional clinical decision ( p < 0.0037). Conclusion LUS is a helpful adjunct for predicting surfactant need in preterm neonates. This study describes an approach to implement the LUS protocol and score for clinical decision-making in the clinical practice. Key Points LUS is a helpful adjunct for predicting surfactant need in preterm neonates. Machine setting variation and probe selection may affect LUS image and score. LUS score should be validated at the local unit before clinical implementation.
引用
收藏
页码:1652 / 1659
页数:8
相关论文
共 37 条
  • [21] CPAP failure in the management of preterm neonates with respiratory distress syndrome where surfactant is scarce. A prospective observational study
    Yaser Abdallah
    Martha Mkony
    Mariam Noorani
    Robert Moshiro
    Mohamed Bakari
    Karim Manji
    BMC Pediatrics, 23
  • [22] Evaluation of Genetic Polymorphisms of the Antioxidant Enzymes and Biomarkers of Oxidative Stress in Preterm Neonates With Respiratory Distress Syndrome Receiving External Surfactant
    Sridharan, Kannan
    Al Jufairi, Mona
    Hejab, Aamal AbdulGhani Mahdi
    Al Madhoob, Abdulraoof
    Al Marzooq, Reem
    Taha, Safa
    Aljishi, Muna Jaber Mulla
    Abdulhadi, Ameera
    Al Ansari, Eman
    Ali, Masooma Abdulla
    Naser, Maryam Ali Ahmed
    Al Segai, Ola
    Dunne, Kevin
    BIOMARKER INSIGHTS, 2022, 17
  • [23] Early Routine versus Late Selective Surfactant in Preterm Neonates with Respiratory Distress Syndrome on Nasal Continuous Positive Airway Pressure: A Randomized Controlled Trial
    Kandraju, Hemasree
    Murki, Srinivas
    Subramanian, Sreeram
    Gaddam, Pramod
    Deorari, Ashok
    Kumar, Praveen
    NEONATOLOGY, 2013, 103 (02) : 148 - 154
  • [24] Extended vs. concise lung ultrasound scores to predict the need for respiratory support in bronchiolitis: a prospective observational study
    Seyfeddine Zayani
    Farah Thabet
    Abir Daya
    Olfa Betbout
    Bennasrallah Cyrine
    Chokri Chouchane
    Slaheddine Chouchane
    European Journal of Pediatrics, 184 (6)
  • [25] Pulmonary insufficiency of extreme prematurity (PIEP) and surfactant deficiency disease (SDD) - It is time to classify respiratory distress syndrome (RDS) in preterm neonates
    Thandaveshwara, Deepti
    Krishnegowda, Sushma
    Doreswamy, Srinivasa Murthy
    JOURNAL OF PEDIATRIC AND NEONATAL INDIVIDUALIZED MEDICINE, 2024, 13 (01):
  • [26] Surfactant treatment before first breath for respiratory distress syndrome in preterm lambs: comparison of a peptide-containing synthetic lung surfactant with porcine-derived surfactant
    van Zyl, Johann M.
    Smith, Johan
    DRUG DESIGN DEVELOPMENT AND THERAPY, 2013, 7 : 905 - 916
  • [27] Lung ultrasound can be used to predict the potential of prone positioning and assess prognosis in patients with acute respiratory distress syndrome
    Wang, Xiao-Ting
    Ding, Xin
    Zhang, Hong-Min
    Chen, Huan
    Su, Long-Xiang
    Liu, Da-Wei
    CRITICAL CARE, 2016, 20
  • [28] Lung ultrasonography score versus chest X-ray score to predict surfactant administration in newborns with respiratory distress syndrome
    Perri, Alessandro
    Riccardi, Riccardo
    Iannotta, Rossella
    Di Molfetta, Domenico V.
    Arena, Roberta
    Vento, Giovanni
    Zecca, Enrico
    PEDIATRIC PULMONOLOGY, 2018, 53 (09) : 1231 - 1236
  • [29] Lung ultrasound can be used to predict the potential of prone positioning and assess prognosis in patients with acute respiratory distress syndrome
    Xiao-ting Wang
    Xin Ding
    Hong-min Zhang
    Huan Chen
    Long-xiang Su
    Da-wei Liu
    Critical Care, 20
  • [30] Laryngeal Mask Airway for Surfactant Administration Versus Standard Treatment Methods in Preterm Neonates with Respiratory Distress Syndrome: A Systematic Review and Meta- analysis
    Al Ali, Roqaia Ayesh
    Gautam, Bishal
    Miller, Michael R.
    Coulson, Sherry
    Yuen, Doris
    AMERICAN JOURNAL OF PERINATOLOGY, 2022, 39 (13) : 1433 - 1440