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Xu C, Bao Y, Ding H, Wang K, Yang Q, Zhu J. The association between antenatal indomethacin exposure and persistent pulmonary hypertension of the newborn in extremely preterm infants. Sci Rep 2025; 15:16962. [PMID: 40374643 PMCID: PMC12081627 DOI: 10.1038/s41598-025-01259-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2024] [Accepted: 05/05/2025] [Indexed: 05/17/2025] Open
Abstract
The study aimed to investigate the association between antenatal indomethacin exposure and persistent pulmonary hypertension of the newborn (PPHN) in extremely preterm infants. A retrospective cohort study was conducted involving extremely preterm infants admitted from January 2022 to May 2024. Neonates were categorized into the indomethacin group and the control group based on the antenatal indomethacin exposure. The primary outcome focused on the incidence of PPHN, while secondary outcomes encompassed the incidence of moderate to severe bronchopulmonary dysplasia (BPD), mortality, respiratory distress syndrome (RDS) ≥ stage III, hemodynamically significant patent ductus arteriosus (hsPDA), spontaneous intestinal perforation (SIP), intraventricular hemorrhage (IVH) ≥ grade III, surgical necrotizing enterocolitis (NEC) and retinopathy of prematurity (ROP) ≥ stage 3. Among the 203 included neonates, there were 68 neonates in the indomethacin group and 135 neonates in the control group. A significant association was observed between antenatal indomethacin exposure and the incidence of PPHN in extremely preterm infants (OR, 6.435; 95% CI, 1.263-32.795; P = 0.031). Among the secondary outcomes, the incidence of pneumothorax in indomethacin group was higher than that in the control group (OR,10.635; 95% CI,1.217-92.94, P = 0.029). There were no significant differences between the two groups in the incidence of other secondary outcomes (P > 0.05 for all). Antenatal indomethacin exposure was found to be associated with PPHN in extremely preterm infants. Therefore, careful consideration and comprehensive assessment were necessary when using indomethacin during pregnancy. Determining the optimal timing for its administration was crucial to minimize the risk of PPHN in this vulnerable population.
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Affiliation(s)
- Chuncai Xu
- Department of Neonatology, Women's Hospital, School of Medicine, Zhejiang University, No 1, Xueshi Road, Hangzhou, Zhejiang, China
| | - Yingying Bao
- Department of Neonatology, Women's Hospital, School of Medicine, Zhejiang University, No 1, Xueshi Road, Hangzhou, Zhejiang, China
| | - Huanhuan Ding
- Department of Neonatology, Women's Hospital, School of Medicine, Zhejiang University, No 1, Xueshi Road, Hangzhou, Zhejiang, China
| | - Kaijian Wang
- Department of Neonatology, Women's Hospital, School of Medicine, Zhejiang University, No 1, Xueshi Road, Hangzhou, Zhejiang, China
| | - Qianyu Yang
- Department of Neonatology, Women's Hospital, School of Medicine, Zhejiang University, No 1, Xueshi Road, Hangzhou, Zhejiang, China
| | - Jiajun Zhu
- Department of Neonatology, Women's Hospital, School of Medicine, Zhejiang University, No 1, Xueshi Road, Hangzhou, Zhejiang, China.
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Dong J, Deng Y, Tong J, Du T, Liu W, Guo Y. The diagnostic value and efficacy evaluation of lung ultrasound score in neonatal respiratory distress syndrome: a prospective observational study. Front Pediatr 2025; 13:1500500. [PMID: 39950156 PMCID: PMC11821582 DOI: 10.3389/fped.2025.1500500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2024] [Accepted: 01/16/2025] [Indexed: 02/16/2025] Open
Abstract
Objective To evaluate the diagnostic efficacy and determine the optimal cut-off values of lung ultrasound score for diagnosing neonatal respiratory distress syndrome and its accuracy in assessing the efficacy of neonatal respiratory distress syndrome. Method This prospective study included 100 neonates with suspected neonatal respiratory distress syndrome. Each patient underwent both the 14-zone and 12-zone lung ultrasound methods, as well as a chest x-ray, performed after birth and before initiating drug treatment. Surfactant replacement therapy was administered to patients who were diagnosed with neonatal respiratory distress syndrome and met the criteria for medication. Lung ultrasound was conducted and recorded at the 24th hour, the 48th hour, the 72nd hour, and the 7th day after drug administration. ROC curve analysis, Kappa statistics, and ANOVA were utilized to identify the optimal cut-off values for the lung ultrasound scores in diagnosing neonatal respiratory distress syndrome. Results 89 neonates were diagnosed with respiratory distress syndrome, of whom 64 received surfactant replacement therapy. The mean scores of 12-zone lung ultrasound score, 14-zone lung ultrasound score, and chest x-ray score are 18.22 ± 7.15, 38.92 ± 9.69, and 2.15 ± 0.97, respectively. The diagnostic AUC for the 12-zone lung ultrasound score is 0.84 (95% CI: 0.73-0.95), with an optimal cut-off value of 13.5 for diseased vs. not diseased, while the AUC for the 14-zone lung ultrasound score is 0.88 (95% CI: 0.76-0.99), with an optimal cut-off value of 34 for diseased vs. not diseased. There is significant concordance between the neonatal lung ultrasonography scores and the chest x-ray score for diagnosis respiratory distress syndrome (P < 0.01). The optimal cut-off values for the grading diagnosis of neonatal respiratory distress syndrome using the 14-zone lung ultrasound score are identified as 36.5, 40.5, and 44.5. The 12-zone lung ultrasound score does not have a significant difference between the 12th hour after receiving surfactant replacement therapy and the 48th hour after treatment (P = 0.08). All other comparisons demonstrated significant differences. Conclusion The 14-zone lung ultrasound score demonstrates higher diagnostic efficacy in diagnosing neonatal respiratory distress syndrome and can accurately evaluate the early efficacy of surfactant replacement therapy in neonates.
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Affiliation(s)
- Jian Dong
- Department of Ultrasound Medicine, The First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China
| | - Yuhong Deng
- Department of Research, The First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China
| | - Jin Tong
- Department of Ultrasound Medicine, The First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China
| | - Tingting Du
- Department of Ultrasound Medicine, The First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China
| | - Wenguang Liu
- Department of Pediatrics, The First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China
| | - Yan Guo
- Department of Pediatrics, The First Affiliated Hospital of Shihezi University, Shihezi, Xinjiang, China
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Wang L, Ji P, Yin J, Xue M, Wang J, Wan Y, Dong B. Predictive Value of Lung Ultrasound Scores Combined with Serum ANGPTL4 Levels on Severity and Prognosis of Neonatal Respiratory Distress Syndrome. Int J Gen Med 2025; 18:153-162. [PMID: 39830140 PMCID: PMC11740569 DOI: 10.2147/ijgm.s477605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2024] [Accepted: 11/27/2024] [Indexed: 01/22/2025] Open
Abstract
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.
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Affiliation(s)
- Liangfu Wang
- Department of Soft Traumatology of Integrated Chinese and Western Medicine, Shenyang Fourth People’s Hospital, Shenyang, Liaoning, 110031, People’s Republic of China
| | - Ping Ji
- Neonatal Intensive Care Unit, Second People’s Hospital of Changzhou Affiliated to Nanjing Medical University, Changzhou, Jiangsu, 213164, People’s Republic of China
| | - Jiansong Yin
- Neonatal Intensive Care Unit, Second People’s Hospital of Changzhou Affiliated to Nanjing Medical University, Changzhou, Jiangsu, 213164, People’s Republic of China
| | - Mei Xue
- Neonatal Intensive Care Unit, Second People’s Hospital of Changzhou Affiliated to Nanjing Medical University, Changzhou, Jiangsu, 213164, People’s Republic of China
| | - Jing Wang
- Department of Child Healthcare, Second People’s Hospital Changzhou Affiliated to Nanjing Medical University, Changzhou, Jiangsu, 213164, People’s Republic of China
| | - Yu Wan
- Neonatal Intensive Care Unit, Second People’s Hospital of Changzhou Affiliated to Nanjing Medical University, Changzhou, Jiangsu, 213164, People’s Republic of China
| | - Baoqiang Dong
- College of Acupuncture and Massage, Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, 110000, People’s Republic of China
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Singh Y, Dauengauer-Kirliene S, Yousef N. Setting the Standards: Neonatal Lung Ultrasound in Clinical Practice. Diagnostics (Basel) 2024; 14:1413. [PMID: 39001302 PMCID: PMC11241677 DOI: 10.3390/diagnostics14131413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Revised: 06/16/2024] [Accepted: 06/25/2024] [Indexed: 07/16/2024] Open
Abstract
The use of lung ultrasonography in neonates is increasing at a very fast rate. Evidence-based guidelines on the use of lung ultrasound (LU) in neonates and children have been published and well received across the world. However, there remains a lack of standardized curriculum for lung ultrasound training and standards for its application at the bedside. This article focuses on providing a standardized approach to the application of lung ultrasonography in neonates for the common neonatal conditions and how it can be integrated into bedside clinical decision-making.
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Affiliation(s)
- Yogen Singh
- Department of Pediatrics, Division of Neonatology, UC Davis Children's Hospital, UC Davis Health, Sacramento, CA 95816, USA
| | - Svetlana Dauengauer-Kirliene
- Department of Human and Medical Genetics, Institute of Biomedical Science, Faculty of Medicine, Vilnius University, Santariškių 2, LT-08661 Vilnius, Lithuania
| | - Nadya Yousef
- Division of Pediatrics and Neonatal Critical Care, "A. Béclère" Medical Center, Paris-Saclay University Hospitals, APHP, 92140 Paris, France
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Dash SK, Mishra S, Mishra S. Diagnostic Potentials of Lung Ultrasound In Neonatal Care: An Updated Overview. Cureus 2024; 16:e62200. [PMID: 39006672 PMCID: PMC11239959 DOI: 10.7759/cureus.62200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/11/2024] [Indexed: 07/16/2024] Open
Abstract
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.
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Affiliation(s)
- Swarup Kumar Dash
- Pediatrics/Neonatology, Latifa Women and Children Hospital, Dubai, ARE
| | - Swagatika Mishra
- Prosthetics and Orthotics (Cranial), OrthoMENA Prosthetics and Orthotics Centre, Dubai, ARE
| | - Swapnesh Mishra
- General Medicine, Pandit Raghunath Murmu Medical College, Baripada, IND
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Alonso-Ojembarrena A, Gregorio-Hernández R, Raimondi F. Neonatal point-of-care lung ultrasound: what should be known and done out of the NICU? Eur J Pediatr 2024; 183:1555-1565. [PMID: 38315204 DOI: 10.1007/s00431-023-05375-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 12/05/2023] [Accepted: 12/06/2023] [Indexed: 02/07/2024]
Abstract
Lung ultrasound is rapidly becoming a useful tool in the care of neonates: its ease of use, reproducibility, low cost, and negligible side effects make it a very suitable tool for the respiratory care of all neonates. This technique has been extensively studied by different approaches in neonatal intensive care unit (NICU), both for diagnostic and prognostic aims and to guide respiratory treatments. However, many neonates are being born in level I/II hospitals without NICU facilities so all pediatricians, not just neonatal intensivists, should be aware of its potential. This is made possible by the increasing access to ultrasound machines in a modern hospital setting. In this review, we describe the ultrasonographic characteristics of the normal neonatal lung. We also discuss the ultrasound features of main neonatal respiratory diseases: transient tachypnea of the neonate (TTN), respiratory distress syndrome (RDS), meconium aspiration syndrome (MAS), pneumothorax (PNX), pleural effusion (PE), or pneumonia. Finally, we mention two functional approaches to lung ultrasound: 1. The use of lung ultrasound in level I delivery centers as a mean to assess the severity of neonatal respiratory distress and request a transport to a higher degree structure in a timely fashion. 2. The prognostic accuracy of lung ultrasound for early and targeted surfactant replacement. CONCLUSION LU is still a useful tool in level I/II neonatal units, both for diagnostic and functional issues. WHAT IS KNOWN • Neonatal lung ultrasound has been recently introduced in the usual care in many Neonatal Intensive Care Units. WHAT IS NEW • It also has many advantages in level I/II neonatal units, both for neonatologist or even pediatricians that treat neonates in those sites.
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Affiliation(s)
- Almudena Alonso-Ojembarrena
- Neonatal Intensive Care Unit, Puerta del Mar University Hospital, Avenida Ana de Viya, 11, 11009, Cádiz, Spain.
- Biomedical Research and Innovation Institute of Cádiz (INiBICA), Research Unit, Puerta del Mar University Hospital, Cádiz, Spain.
| | | | - Francesco Raimondi
- Division of Neonatology, Department of Translational Medical Sciences, Università Federico II Di Napoli, Naples, Italy
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Aujla S, Mohamed A, Tan R, Magtibay K, Tan R, Gao L, Khan N, Umapathy K. Classification of lung pathologies in neonates using dual-tree complex wavelet transform. Biomed Eng Online 2023; 22:115. [PMID: 38049880 PMCID: PMC10696711 DOI: 10.1186/s12938-023-01184-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/27/2023] [Indexed: 12/06/2023] Open
Abstract
INTRODUCTION Undiagnosed and untreated lung pathologies are among the leading causes of neonatal deaths in developing countries. Lung Ultrasound (LUS) has been widely accepted as a diagnostic tool for neonatal lung pathologies due to its affordability, portability, and safety. However, healthcare institutions in developing countries lack well-trained clinicians to interpret LUS images, which limits the use of LUS, especially in remote areas. An automated point-of-care tool that could screen and capture LUS morphologies associated with neonatal lung pathologies could aid in rapid and accurate diagnosis. METHODS We propose a framework for classifying the six most common neonatal lung pathologies using spatially localized line and texture patterns extracted via 2D dual-tree complex wavelet transform (DTCWT). We acquired 1550 LUS images from 42 neonates with varying numbers of lung pathologies. Furthermore, we balanced our data set to avoid bias towards a pathology class. RESULTS Using DTCWT and clinical features as inputs to a linear discriminant analysis (LDA), our approach achieved a per-image cross-validated classification accuracy of 74.39% for the imbalanced data set. Our classification accuracy improved to 92.78% after balancing our data set. Moreover, our proposed framework achieved a maximum per-subject cross-validated classification accuracy of 64.97% with an imbalanced data set while using a balanced data set improves its classification accuracy up to 81.53%. CONCLUSION Our work could aid in automating the diagnosis of lung pathologies among neonates using LUS. Rapid and accurate diagnosis of lung pathologies could help to decrease neonatal deaths in healthcare institutions that lack well-trained clinicians, especially in developing countries.
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Affiliation(s)
- Sagarjit Aujla
- Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada.
| | - Adel Mohamed
- Department of Pediatrics, Mount Sinai Hospital, 600 University Ave, Toronto, ON, M5G 1X5, Canada
| | - Ryan Tan
- Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada
| | - Karl Magtibay
- Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada
| | - Randy Tan
- Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada
| | - Lei Gao
- Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada
| | - Naimul Khan
- Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada
| | - Karthikeyan Umapathy
- Department of Electrical, Computer, and Biomedical Engineering, Toronto Metropolitan University, 350 Victoria Street, Toronto, ON, M5B 2K3, Canada
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