Ultrasound diagnosis and grading criteria of neonatal respiratory distress syndrome

The efficacy of lung ultrasound scores-directed pulmonary surfactant treatment in preterm infants with respiratory distress syndrome: a randomized controlled pilot study

BACKGROUND

Pulmonary surfactant therapy is critical for preterm infants with respiratory distress syndrome (RDS). Lung ultrasound (LUS) offers a noninvasive, radiation-free alternative for assessing RDS severity and guiding surfactant therapy.

METHODS

Eighty-two preterm infants with RDS were randomized to receive surfactant based on either LUS scores or a conventional clinical-radiological assessment, comparing the duration of mechanical ventilation, supplemental oxygen need, NICU stay, incidence of bronchopulmonary dysplasia (BPD), and mortality.

RESULTS

No significant differences were found between the groups in terms of mechanical ventilation duration (average 4.1 vs. 4.3 days), supplemental oxygen need (average 5.7 vs. 6.1 days), or NICU stay (average 15.4 vs. 15.9 days). The incidence of BPD was 4.9% in both groups, and there were no deaths reported.

CONCLUSIONS

LUS-directed surfactant treatment did not show significant difference compared to the traditional methods, suggesting its potential as a noninvasive alternative for RDS management in preterm infants.

Predictive Value of Lung Ultrasound Scores Combined with Serum ANGPTL4 Levels on Severity and Prognosis of Neonatal Respiratory Distress Syndrome

Objective

Respiratory distress syndrome threatens neonates' life. This study probed the predictive value of lung ultrasound scores combined with serum angiopoietin-like protein 4 (ANGPTL4) levels on neonatal respiratory distress syndrome (NRDS) severity and prognosis.

Methods

The NRDS group (n = 115) and control group (n = 30) were established. In both groups, lung ultrasound scores and serum ANGPTL4 levels, lung ultrasound scores and serum ANGPTL4 levels of newborns with NRDS of different severity, the risk factors affecting the poor prognosis of NRDS neonates, and the value of serum ANGPTL4 levels combined with lung ultrasound scores in determining the severity and prognosis of newborns with NRDS were analyzed.

Results

The NRDS groups had higher lung ultrasound scores and serum ANGPTL4 levels, and lower Apgar scores than the control group; lung ultrasound scores and serum ANGPTL4 levels were higher in the moderate and severe groups than in the mild group, and those were higher in the severe group than in the moderate group (all p < 0.05). The logistic regression analysis showed that high lung ultrasound scores, and high serum ANGPTL4 levels were risk factors for NRDS poor prognosis (OR > 1, p < 0.05), and high Apgar scores are the protective factor for poor prognosis in NRDS neonates (OR < 1, p < 0.05). The area under the curve of lung ultrasound scores combined with serum ANGPTL4 levels to assess the severity and prognosis of NRDS neonates exhibited a higher assessed value than the single test.

Conclusion

Lung ultrasound scores and serum ANGPTL4 levels are closely related to the severity and prognosis of NRDS neonates, and the combination of the two improves the assessed value of the severity and prognosis of NRDS neonates. The study provided a reference for the disease severity assessment of NRDS and the prediction of its prognosis.

Lung Ultrasound in Neonatal Respiratory Distress Syndrome: A Narrative Review of the Last 10 Years

Neonatal respiratory distress syndrome (RDS) is a common and potentially life-threatening condition in preterm infants, primarily due to surfactant deficiency. Early and accurate diagnosis is critical to guide timely interventions such as surfactant administration and respiratory support. Traditionally, chest X-rays have been used for diagnosis, but lung ultrasound (LUS) has gained prominence due to its non-invasive, radiation-free, and bedside applicability. Compared to chest X-rays and CT scans, LUS demonstrates superior sensitivity and specificity in diagnosing RDS, particularly in identifying surfactant need and predicting CPAP failure. Additionally, LUS offers real-time imaging without radiation exposure, an advantage over other modalities. However, its broader adoption is limited by challenges in standardizing training, ensuring diagnostic reproducibility, and validating scoring systems, especially in resource-limited settings. This narrative review aims to evaluate the role of LUS in the diagnosis and management of neonatal RDS over the past decade, focusing on its clinical utility, scoring systems, and emerging applications. We reviewed the literature from 2013 to 2023, focusing on studies evaluating LUS' diagnostic accuracy, scoring systems, and its potential role in guiding surfactant therapy and predicting CPAP failure. Despite its benefits, addressing the variability in operator expertise and integrating artificial intelligence to enhance usability are crucial for ensuring LUS' efficacy across diverse clinical environments. Future research should prioritize standardizing training and scoring protocols to facilitate wider implementation and optimize neonatal respiratory care outcomes.

A Comprehensive Compilation of Data on the Relationship Between Surfactant Protein-B (SFTPB) Polymorphisms and Susceptibility to Neonatal Respiratory Distress Syndrome

BACKGROUND

This study aims to explore the association between variations in the Surfactant Protein-B (SFTPB) gene and the risk of neonatal respiratory distress syndrome (NRDS).

METHODS

A comprehensive literature search was conducted across PubMed, Scopus, EMBASE, and CNKI databases up to February 10, 2024, to identify pertinent studies.

RESULTS

A total of seventeen studies examining the +1580 C/T polymorphism (2,058 cases and 2,596 controls) and five studies investigating the -18 A/C polymorphism (680 cases and 739 controls) were included in the analysis. The pooled data indicated that the +1580 C/T polymorphism confers a protective effect against NRDS in various populations and ethnic groups. Conversely, the -18 A/C polymorphism did not demonstrate a significant association either globally or among Asian neonates.

CONCLUSIONS

The +1580 C/T variant appears to be protective against NRDS, whereas the -18 A/C polymorphism shows minimal impact on the disease's progression.

Diagnostic Potentials of Lung Ultrasound In Neonatal Care: An Updated Overview

Recent technological strides, including high-frequency probes and lung ultrasound, have become a crucial non-invasive diagnostic tool in neonatal care, revolutionizing how respiratory conditions are assessed in the neonatal intensive care unit (NICU). High-frequency probes and portable devices significantly enhance the effectiveness of lung ultrasound in identifying respiratory distress syndrome (RDS), pneumonia, and pneumothorax, and underscore its growing significance. This comprehensive review explores the historical journey of lung ultrasonography, technological advancements, contemporary applications in neonatal care, emerging trends, and collaborative initiatives, and foresees a future where personalized healthcare optimizes outcomes for neonates.

Advanced Diagnostics of Respiratory Distress Syndrome in Premature Infants Treated with Surfactant and Budesonide through Computer-Assisted Chest X-ray Analysis

This research addresses the respiratory distress syndrome (RDS) in preterm newborns caused by insufficient surfactant synthesis, which can lead to serious complications, including pneumothorax, pulmonary hypertension, and pulmonary hemorrhage, increasing the risk of a fatal outcome. By analyzing chest radiographs and blood gases, we specifically focus on the significant contributions of these parameters to the diagnosis and analysis of the recovery of patients with RDS. The study involved 32 preterm newborns, and the analysis of gas parameters before and after the administration of surfactants and inhalation corticosteroid therapy revealed statistically significant changes in values of parameters such as FiO2, pH, pCO2, HCO3, and BE (Sig. < 0.05), while the pO2 parameter showed a potential change (Sig. = 0.061). Parallel to this, the research emphasizes the development of a lung segmentation algorithm implemented in the MATLAB programming environment. The key steps of the algorithm include preprocessing, segmentation, and visualization for a more detailed understanding of the recovery dynamics after RDS. These algorithms have achieved promising results, with a global accuracy of 0.93 ± 0.06, precision of 0.81 ± 0.16, and an F-score of 0.82 ± 0.14. These results highlight the potential application of algorithms in the analysis and monitoring of recovery in newborns with RDS, also underscoring the need for further development of software solutions in medicine, particularly in neonatology, to enhance the diagnosis and treatment of preterm newborns with respiratory distress syndrome.