The Lung Ultrasound Score Cannot Accurately Evaluate the Severity of Neonatal Lung Disease

2019 ◽  
Vol 39 (5) ◽  
pp. 1015-1020 ◽  
Author(s):  
Jing Liu
2018 ◽  
Vol 37 (4) ◽  
pp. 224-232 ◽  
Author(s):  
Yasser N. Elsayed

Point-of-care ultrasound in the NICU is becoming more commonplace and is now used for a number of indications. Over the past ten years, the use of ultrasound as an alternative to a chest x-ray for the diagnosis of neonatal lung disease has been explored, and protocols were developed to refine the interpretation of ultrasound images in neonatal lung disease. The purpose of this column is to briefly explain the physics of ultrasound and describe the application of ultrasound to neonatal lung assessment.


2020 ◽  
Vol 2020 ◽  
pp. 1-5 ◽  
Author(s):  
Bin-Bin Guo ◽  
Kun-Kun Wang ◽  
Li Xie ◽  
Xiu-Juan Liu ◽  
Xiao-Ya Chen ◽  
...  

Objectives. To comprehensively and quantitatively assess the process of lung liquid clearance using the lung ultrasound score. This study is to evaluate the whole healthy lungs of neonates during the first 24 h. Methods. Lung ultrasound was performed in neonates with no respiratory symptoms within 3 h after birth, and scans were then repeated at 6 hours and 24 hours, respectively. The entire chest wall was divided into 12 regions. The lung ultrasound scores of the anterior, posterior, upper, and lower regions and sum of all regions were calculated according to the ultrasound pattern of each region examined. Results. The total lung ultrasound score decreased gradually during the first 24 h, with the total lung ultrasound score at 6 h being significantly lower than that at <3 h (P<0.05). At <3 h, B-lines were more abundant in the posterior chest than in the anterior chest (P<0.001), and more B-lines were observed in the lower chest than in the upper chest (P<0.001). At 6 h and 24 h, there were no significant differences among the regions. Conclusion. Changes in the lung ultrasound score may quantitatively reflect the characteristics of different regions and processes of lung liquid clearance during the first 24 h.


Author(s):  
Barbara Loi ◽  
Costanza Casiraghi ◽  
Chiara Catozzi ◽  
Matteo Storti ◽  
Monica Lucattelli ◽  
...  

Evolving broncho-pulmonary dysplasia (BPD) is a regionally heterogeneous disorder characterized by impaired alveolarization leading to lung aeration inhomogeneities. Hyperoxia-exposed preterm rabbits have been proposed to mimic evolving BPD and we aim to verify if this model has the same lung ultrasound and mechanical features of evolving BPD in human neonates. Twenty-five preterm rabbits and twenty-five neonates with evolving BPD were enrolled and subjected to semi-quantitative lung ultrasound and lung mechanics measurement. A modified rabbit lung ultrasound score (rLUS), the previously validated neonatal lung ultrasound score (LUS) and classical mechanics measurements were obtained. Lung ultrasound images were also recorded and evaluated by two independent observers with different expertise blinded to each other's evaluation. Lung ultrasound findings were equally heterogeneous both in rabbits as in human neonates: images were very similar and encompassed all the classical lung ultrasound semiology. The inter-rater absolute agreement for the evaluation of lung ultrasound images in rabbits was very high (ICC: 0.989 (95%CI: 0.975-0.995); p<0.0001) and there was no difference between the two observers. Lung mechanics parameters were similarly altered both in rabbits and human neonates. There were significant correlations between airway resistances and lung ultrasound scores both in rabbits (r=0.519; p=0.008) and in neonates (r=0.409; p=0.042). No significant correlation between rLUS, LUS and any other mechanics parameter. Lung ultrasound was easy to be performed and accurate even in these small animals and with a short training. In conclusion, the preterm rabbit model fairly reproduces the lung ultrasound and mechanical characteristics of preterm neonates with evolving BPD.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Micah L. A. Heldeweg ◽  
Jorge E. Lopez Matta ◽  
Mark E. Haaksma ◽  
Jasper M. Smit ◽  
Carlos V. Elzo Kraemer ◽  
...  

Abstract Background Lung ultrasound can adequately monitor disease severity in pneumonia and acute respiratory distress syndrome. We hypothesize lung ultrasound can adequately monitor COVID-19 pneumonia in critically ill patients. Methods Adult patients with COVID-19 pneumonia admitted to the intensive care unit of two academic hospitals who underwent a 12-zone lung ultrasound and a chest CT examination were included. Baseline characteristics, and outcomes including composite endpoint death or ICU stay > 30 days were recorded. Lung ultrasound and CT images were quantified as a lung ultrasound score involvement index (LUSI) and CT severity involvement index (CTSI). Primary outcome was the correlation, agreement, and concordance between LUSI and CTSI. Secondary outcome was the association of LUSI and CTSI with the composite endpoints. Results We included 55 ultrasound examinations in 34 patients, which were 88% were male, with a mean age of 63 years and mean P/F ratio of 151. The correlation between LUSI and CTSI was strong (r = 0.795), with an overall 15% bias, and limits of agreement ranging − 40 to 9.7. Concordance between changes in sequentially measured LUSI and CTSI was 81%. In the univariate model, high involvement on LUSI and CTSI were associated with a composite endpoint. In the multivariate model, LUSI was the only remaining independent predictor. Conclusions Lung ultrasound can be used as an alternative for chest CT in monitoring COVID-19 pneumonia in critically ill patients as it can quantify pulmonary involvement, register changes over the course of the disease, and predict death or ICU stay > 30 days. Trial registration: NTR, NL8584. Registered 01 May 2020—retrospectively registered, https://www.trialregister.nl/trial/8584


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Stephanie-Susanne Stecher ◽  
Sofia Anton ◽  
Alessia Fraccaroli ◽  
Jeremias Götschke ◽  
Hans Joachim Stemmler ◽  
...  

Abstract Background Point-of-care lung ultrasound (LU) is an established tool in the first assessment of patients with coronavirus disease (COVID-19). Purpose of this study was to evaluate the value of lung ultrasound in COVID-19 intensive care unit (ICU) patients in predicting clinical course and outcome. Methods We analyzed lung ultrasound score (LUS) of all COVID-19 patients admitted from March 2020 to December 2020 to the Internal Intensive Care Unit, Ludwig-Maximilians-University (LMU) of Munich. LU was performed according to a standardized protocol at ICU admission and in case of clinical deterioration with the need for intubation. A normal lung scores 0 points, the worst LUS has 24 points. Patients were stratified in a low (0–12 points) and a high (13–24 points) lung ultrasound score group. Results The study included 42 patients, 69% of them male. The most common comorbidities were hypertension (81%) and obesity (57%). The values of pH (7.42 ± 0.09 vs 7.35 ± 0.1; p = 0.047) and paO2 (107 [80–130] vs 80 [66–93] mmHg; p = 0.034) were significantly reduced in patients of the high LUS group. Furthermore, the duration of ventilation (12.5 [8.3–25] vs 36.5 [9.8–70] days; p = 0.029) was significantly prolonged in this group. Patchy subpleural thickening (n = 38; 90.5%) and subpleural consolidations (n = 23; 54.8%) were present in most patients. Pleural effusion was rare (n = 4; 9.5%). The median total LUS was 11.9 ± 3.9 points. In case of clinical deterioration with the need for intubation, LUS worsened significantly compared to baseline LU. Twelve patients died during the ICU stay (29%). There was no difference in survival in both LUS groups (75% vs 66.7%, p = 0.559). Conclusions LU can be a useful monitoring tool to predict clinical course but not outcome of COVID-19 ICU patients and can early recognize possible deteriorations.


Author(s):  
Georgios Pitsidianakis ◽  
Evangelia E. Vassalou ◽  
Eirini Vasarmidi ◽  
Maria Bolaki ◽  
Michail E. Klontzas ◽  
...  

2021 ◽  
Vol 56 (5) ◽  
pp. 992-999
Author(s):  
Matthew D. Wong ◽  
Melissa Neylan ◽  
Gordon Williams ◽  
Syeda F. Zahir ◽  
Jasneek Chawla

Sign in / Sign up

Export Citation Format

Share Document