• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人工智能在出生时预测支气管肺发育不良。

Bronchopulmonary dysplasia predicted at birth by artificial intelligence.

作者信息

Verder Henrik, Heiring Christian, Ramanathan Rangasamy, Scoutaris Nikolaos, Verder Povl, Jessen Torben E, Höskuldsson Agnar, Bender Lars, Dahl Marianne, Eschen Christian, Fenger-Grøn Jesper, Reinholdt Jes, Smedegaard Heidi, Schousboe Peter

机构信息

Department of Pediatrics, Holbaek University Hospital, Holbaek, Denmark.

Department of Neonatology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.

出版信息

Acta Paediatr. 2021 Feb;110(2):503-509. doi: 10.1111/apa.15438. Epub 2020 Jul 27.

DOI:10.1111/apa.15438
PMID:32569404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7891330/
Abstract

AIM

To develop a fast bedside test for prediction and early targeted intervention of bronchopulmonary dysplasia (BPD) to improve the outcome.

METHODS

In a multicentre study of preterm infants with gestational age 24-31 weeks, clinical data present at birth were combined with spectral data of gastric aspirate samples taken at birth and analysed using artificial intelligence. The study was designed to develop an algorithm to predict development of BPD. The BPD definition used was the consensus definition of the US National Institutes of Health: Requirement of supplemental oxygen for at least 28 days with subsequent assessment at 36 weeks postmenstrual age.

RESULTS

Twenty-six (43%) of the 61 included infants developed BPD. Spectral data analysis of the gastric aspirates identified the most important wave numbers for classification and surfactant treatment, and birth weight and gestational age were the most important predictive clinical data. By combining these data, the resulting algorithm for early diagnosis of BPD had a sensitivity of 88% and a specificity of 91%.

CONCLUSION

A point-of-care test to predict subsequent development of BPD at birth has been developed using a new software algorithm allowing early targeted intervention of BPD which could improve the outcome.

摘要

目的

开发一种用于预测和早期靶向干预支气管肺发育不良(BPD)的快速床旁检测方法,以改善预后。

方法

在一项针对孕周为24 - 31周的早产儿的多中心研究中,将出生时的临床数据与出生时采集的胃吸出物样本的光谱数据相结合,并使用人工智能进行分析。该研究旨在开发一种算法来预测BPD的发生。所使用的BPD定义是美国国立卫生研究院的共识定义:至少28天需要补充氧气,并在孕龄36周时进行后续评估。

结果

61例纳入研究的婴儿中有26例(43%)发生了BPD。胃吸出物的光谱数据分析确定了用于分类和表面活性剂治疗的最重要波数,出生体重和孕周是最重要的预测临床数据。通过结合这些数据,所得的BPD早期诊断算法的敏感性为88%,特异性为91%。

结论

已使用一种新的软件算法开发出一种床旁检测方法,用于预测出生时BPD的后续发生,从而允许对BPD进行早期靶向干预,这可能会改善预后。

相似文献

1
Bronchopulmonary dysplasia predicted at birth by artificial intelligence.人工智能在出生时预测支气管肺发育不良。
Acta Paediatr. 2021 Feb;110(2):503-509. doi: 10.1111/apa.15438. Epub 2020 Jul 27.
2
Inhalation or instillation of steroids for the prevention of bronchopulmonary dysplasia.吸入或滴注类固醇用于预防支气管肺发育不良。
Neonatology. 2015;107(4):358-9. doi: 10.1159/000381132. Epub 2015 Jun 5.
3
Validation of the National Institutes of Health consensus definition of bronchopulmonary dysplasia.美国国立卫生研究院支气管肺发育不良共识定义的验证
Pediatrics. 2005 Dec;116(6):1353-60. doi: 10.1542/peds.2005-0249.
4
The Prediction of Bronchopulmonary Dysplasia in Very Low Birth Weight Infants through Clinical Indicators within 1 Hour of Delivery.通过分娩后 1 小时内的临床指标预测极低出生体重儿的支气管肺发育不良。
J Korean Med Sci. 2021 Mar 22;36(11):e81. doi: 10.3346/jkms.2021.36.e81.
5
Bronchopulmonary dysplasia: a predictive scoring system for very low birth weight infants. A diagnostic accuracy study with prospective data collection.支气管肺发育不良:极低出生体重儿的预测评分系统。前瞻性数据收集的诊断准确性研究。
Eur J Pediatr. 2021 Aug;180(8):2453-2461. doi: 10.1007/s00431-021-04045-8. Epub 2021 Apr 6.
6
Small for gestational age very preterm infants present a higher risk of developing bronchopulmonary dysplasia.小于胎龄的极早产儿发生支气管肺发育不良的风险更高。
J Neonatal Perinatal Med. 2019;12(4):419-427. doi: 10.3233/NPM-180129.
7
Increased ADMA levels are associated with poor pulmonary outcome in preterm neonates.非对称二甲基精氨酸(ADMA)水平升高与早产儿不良肺部预后相关。
J Matern Fetal Neonatal Med. 2017 Apr;30(7):864-869. doi: 10.1080/14767058.2016.1190332. Epub 2016 Jun 8.
8
Bronchopulmonary dysplasia: Rationale for a pathophysiological rather than treatment based approach to diagnosis.支气管肺发育不良:基于病理生理学而非治疗方法的诊断策略。
Paediatr Respir Rev. 2019 Nov;32:91-97. doi: 10.1016/j.prrv.2018.12.002. Epub 2018 Dec 19.
9
Volumetric Capnography at 36 Weeks Postmenstrual Age and Bronchopulmonary Dysplasia in Very Preterm Infants.胎儿 36 孕周后容积描记法与极早产儿支气管肺发育不良
J Pediatr. 2022 Feb;241:97-102.e2. doi: 10.1016/j.jpeds.2021.10.019. Epub 2021 Oct 24.
10
Pepsin, a marker of gastric contents, is increased in tracheal aspirates from preterm infants who develop bronchopulmonary dysplasia.胃蛋白酶是胃内容物的一种标志物,在发生支气管肺发育不良的早产儿的气管吸出物中含量会升高。
Pediatrics. 2008 Feb;121(2):e253-9. doi: 10.1542/peds.2007-0056.

引用本文的文献

1
Prevention of Inflammatory Disorders in the Preterm Neonate: An Update with a Special Focus on Bronchopulmonary Dysplasia.预防早产儿炎症性疾病:特别关注支气管肺发育不良的更新。
Neonatology. 2024;121(5):636-645. doi: 10.1159/000539303. Epub 2024 Jun 13.
2
Artificial Intelligence in Pediatrics: Learning to Walk Together.儿科学中的人工智能:携手共进。
Turk Arch Pediatr. 2024 Mar;59(2):121-130. doi: 10.5152/TurkArchPediatr.2024.24002.
3
Prediction of bronchopulmonary dysplasia in very preterm infants: competitive risk model nomogram.

本文引用的文献

1
Health Care Burden of Bronchopulmonary Dysplasia Among Extremely Preterm Infants.极早产儿支气管肺发育不良的医疗负担
Front Pediatr. 2019 Dec 12;7:510. doi: 10.3389/fped.2019.00510. eCollection 2019.
2
High Neutrophil-to-Lymphocyte Ratio Is an Early Predictor of Bronchopulmonary Dysplasia.高中性粒细胞与淋巴细胞比值是支气管肺发育不良的早期预测指标。
Front Pediatr. 2019 Nov 12;7:464. doi: 10.3389/fped.2019.00464. eCollection 2019.
3
Association of Chorioamnionitis With Bronchopulmonary Dysplasia Among Preterm Infants: A Systematic Review, Meta-analysis, and Metaregression.
极早产儿支气管肺发育不良的预测:竞争风险模型列线图
Front Pediatr. 2024 Feb 20;12:1335891. doi: 10.3389/fped.2024.1335891. eCollection 2024.
4
Bridging the Gap: Exploring Bronchopulmonary Dysplasia through the Lens of Biomedical Informatics.弥合差距:通过生物医学信息学视角探索支气管肺发育不良
J Clin Med. 2024 Feb 14;13(4):1077. doi: 10.3390/jcm13041077.
5
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review.人工智能在新生儿重症监护病房的过去、现状与未来:一项系统综述
NPJ Digit Med. 2023 Nov 27;6(1):220. doi: 10.1038/s41746-023-00941-5.
6
Neonatal sequential organ failure assessment score within 72 h after delivery reliably predicts bronchopulmonary dysplasia in very preterm infants.出生后72小时内的新生儿序贯器官衰竭评估评分能够可靠地预测极早产儿的支气管肺发育不良。
Front Pediatr. 2023 Sep 29;11:1233189. doi: 10.3389/fped.2023.1233189. eCollection 2023.
7
Co-expression network analysis for identification of novel biomarkers of bronchopulmonary dysplasia model.用于鉴定支气管肺发育不良模型新生物标志物的共表达网络分析
Front Pediatr. 2022 Nov 7;10:946747. doi: 10.3389/fped.2022.946747. eCollection 2022.
8
Artificial intelligence in bronchopulmonary dysplasia- current research and unexplored frontiers.支气管肺发育不良中的人工智能——当前研究与未探索的前沿领域
Pediatr Res. 2023 Jan;93(2):287-290. doi: 10.1038/s41390-022-02387-z. Epub 2022 Nov 16.
9
Risk factors and machine learning prediction models for bronchopulmonary dysplasia severity in the Chinese population.中国人群支气管肺发育不良严重程度的危险因素及机器学习预测模型。
World J Pediatr. 2023 Jun;19(6):568-576. doi: 10.1007/s12519-022-00635-0. Epub 2022 Nov 10.
10
Prediction Models for Bronchopulmonary Dysplasia in Preterm Infants: A Systematic Review.早产儿支气管肺发育不良的预测模型:一项系统评价。
Front Pediatr. 2022 May 12;10:856159. doi: 10.3389/fped.2022.856159. eCollection 2022.
绒毛膜羊膜炎与早产儿支气管肺发育不良的相关性:系统评价、荟萃分析和元回归。
JAMA Netw Open. 2019 Nov 1;2(11):e1914611. doi: 10.1001/jamanetworkopen.2019.14611.
4
Trends in Outcomes for Neonates Born Very Preterm and Very Low Birth Weight in 11 High-Income Countries.11 个高收入国家中极早产和极低出生体重儿结局的变化趋势。
J Pediatr. 2019 Dec;215:32-40.e14. doi: 10.1016/j.jpeds.2019.08.020. Epub 2019 Oct 3.
5
Comparative two time-point proteome analysis of the plasma from preterm infants with and without bronchopulmonary dysplasia.比较有和无支气管肺发育不良的早产儿血浆的两个时间点蛋白质组分析。
Ital J Pediatr. 2019 Aug 24;45(1):112. doi: 10.1186/s13052-019-0676-0.
6
Predicting respiratory distress syndrome at birth using fast test based on spectroscopy of gastric aspirates. 1. Biochemical part.使用基于胃吸出物光谱分析的快速检测方法预测出生时的呼吸窘迫综合征。1. 生化部分。
Acta Paediatr. 2020 Feb;109(2):280-284. doi: 10.1111/apa.14896. Epub 2019 Jul 14.
7
Predicting respiratory distress syndrome at birth using a fast test based on spectroscopy of gastric aspirates: 2. Clinical part.使用基于胃吸出物光谱分析的快速检测方法预测出生时的呼吸窘迫综合征:2. 临床部分。
Acta Paediatr. 2020 Feb;109(2):285-290. doi: 10.1111/apa.14831. Epub 2019 May 31.
8
Bronchopulmonary Dysplasia: Comparison Between the Two Most Used Diagnostic Criteria.支气管肺发育不良:两种最常用诊断标准的比较
Front Pediatr. 2018 Dec 12;6:397. doi: 10.3389/fped.2018.00397. eCollection 2018.
9
Bronchopulmonary Dysplasia: An Update of Current Pharmacologic Therapies and New Approaches.支气管肺发育不良:当前药物治疗及新方法的最新进展
Clin Med Insights Pediatr. 2018 Dec 11;12:1179556518817322. doi: 10.1177/1179556518817322. eCollection 2018.
10
Tracheal aspirate VEGF and sphingolipid metabolites in the preterm infant with later development of bronchopulmonary dysplasia.早产儿支气管肺发育不良发生后,其气管抽吸物中血管内皮生长因子和神经鞘脂代谢物的变化。
Pediatr Pulmonol. 2018 Aug;53(8):1046-1052. doi: 10.1002/ppul.24022. Epub 2018 Apr 23.