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The case against use of inhaled nitric oxide for hypoxic respiratory failure in the premature neonate. 反对使用吸入一氧化氮治疗早产儿缺氧呼吸衰竭的病例。
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-03-20 DOI: 10.1016/j.siny.2026.101722
Amir M Khan
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引用次数: 0
Combined use of erythropoiesis-stimulating agents and transfusion guidelines in NICU infants. 新生儿重症监护病房婴儿联合使用促红细胞生成剂和输血指南。
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-03-10 DOI: 10.1016/j.siny.2026.101718
Robin K Ohls

Red blood cell transfusions from adult donors can be lifesaving for neonates with severe anemia or acute massive hemorrhage but can be associated with specific and significant risks. Infectious transmission, acute lung injury, and circulatory overload are well known risks and are part of blood transfusion informed consent. Less well-described, but more common, are the risks that occur when transfusing the smallest and most immature neonates, those less than 1000 g. Repeated adult red cell transfusions may worsen inflammatory conditions, such as pulmonary inflammation, and they can increase the incidence and severity of retinopathy of prematurity and neurodevelopmental delay. In this review, we will provide an overview of neonatal transfusion stewardship including instituting both non-pharmacological transfusion-avoidance techniques and pharmacologic strategies to reduce transfusion rates. Erythropoiesis-stimulating agents like erythropoietin and darbepoetin further reduce and can eliminate the need for a transfusion. Instituting non-pharmacologic and pharmacologic strategies will increase the number of NICU infants who remain transfusion free, even those born weighing less than 1000 g.

对于患有严重贫血或急性大出血的新生儿,成人献血者的红细胞输注可以挽救生命,但可能存在特定的重大风险。感染传播、急性肺损伤和循环超负荷是众所周知的风险,也是输血知情同意的一部分。对小于1000克的最小和最不成熟的新生儿输血时发生的风险描述较少,但更常见。反复输注成人红细胞可加重炎症,如肺部炎症,并可增加早产儿视网膜病变和神经发育迟缓的发生率和严重程度。在这篇综述中,我们将提供新生儿输血管理的概述,包括建立非药物避免输血技术和药物策略来降低输血率。促红细胞生成素和达贝生成素等促红细胞生成素进一步减少并可以消除输血的需要。制定非药物和药物策略将增加新生儿重症监护室婴儿不输血的数量,即使是出生体重低于1000克的婴儿。
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引用次数: 0
Approaches to red blood cell transfusion for the very low birth weight infant. 极低出生体重婴儿的红细胞输注方法。
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-03-06 DOI: 10.1016/j.siny.2026.101716
Ravi M Patel
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引用次数: 0
Ethical tensions in decisions about treatment for babies born at the borderline of viability: Discussion and consensus. 关于在生存能力边缘出生的婴儿的治疗决策中的伦理紧张:讨论和共识。
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-03-04 DOI: 10.1016/j.siny.2026.101715
David L Weisoly, Mathew A Rysavy, Joseph Kaempf, Robert Ursprung, John Lantos
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引用次数: 0
Extremely premature infant care: Reasonable progress or therapeutic fury? 极早产儿护理:合理进展还是治疗狂怒?
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-03-04 DOI: 10.1016/j.siny.2026.101714
Joseph W Kaempf

Application of palliative comfort care versus neonatal intensive care for extremely premature births is a judgment fraught with uncertainty and risk, principally for the pregnant woman and family. Survival and good health are possible, but suffering, chronic health issues, and socio-economic inequities are burdensome to families. Survival rates of infants born at 22, 23, and 24 weeks' gestation are increasing, but morbidity rates and long-term neurodevelopmental impairments are substantial and not improving. Outcomes acceptable to some pregnant women and families are not acceptable to others. Autonomy of pregnant women contrasted with the rights of the fetus and infant are affected by culture, religion, technology, and powerfully persuaded by physicians who possess conflicts-of-interest related to career goals, income, and research priorities. Interventions related to extreme prematurity care such as cesarean deliveries create serious health risks for pregnant women. Intensive care of extremely premature infants is expensive, and lost opportunity costs for families and society are under-appreciated. Physicians should resist dogmatic positions tethered to non-rigorous evidence and technology. Physicians best serve pregnant women by listening to their concerns and preferences, objectively reviewing clinical outcomes, and by avoiding care options presented as restrictive protocols, or wide-open menus. The legitimate zone of parental discretion embraces value pluralistic shared decision-making and informed consent. This principle is unequivocally endorsed by the American Academy of Pediatrics and American College of Obstetricians and Gynecologists. Because there is no unifying cultural, religious, or bioethical ethos, we should embrace shared decision-making recognizing the inherent contingencies and disagreements of extreme prematurity.

对于极度早产儿,姑息舒适护理与新生儿重症监护的应用是一个充满不确定性和风险的判断,主要是对孕妇和家庭而言。生存和健康是可能的,但痛苦、慢性健康问题和社会经济不平等是家庭的负担。在妊娠22、23和24周出生的婴儿存活率正在增加,但发病率和长期神经发育障碍是实质性的,没有改善。一些孕妇和家庭可以接受的结果对其他人来说是不可接受的。与胎儿和婴儿的权利相比,孕妇的自主权受到文化、宗教、技术的影响,并受到与职业目标、收入和研究重点相关的利益冲突的医生的有力说服。与极端早产护理有关的干预措施,如剖宫产,对孕妇造成严重的健康风险。极早产儿的重症监护费用昂贵,家庭和社会的机会损失没有得到充分重视。医生应该抵制那些被不严谨的证据和技术所束缚的教条立场。医生最好的服务方式是倾听孕妇的担忧和偏好,客观地评估临床结果,避免以限制性协议或开放式菜单的形式提供护理选择。父母自由裁量权的合法范围包括价值多元化、共同决策和知情同意。这一原则得到了美国儿科学会和美国妇产科医师学会的明确认可。因为没有统一的文化、宗教或生物伦理精神,我们应该接受共同决策,认识到极端早熟的内在偶然性和分歧。
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引用次数: 0
Introduction. 介绍。
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-02-28 DOI: 10.1016/j.siny.2026.101709
David L Weisoly, Dara Brodsky, Camilia R Martin, David L Weisoly, Matthew Saxonhouse, Dara Brodsky, Sarah Honea, Camilia R Martin, James Moore, Ravi Mangal Patel, Robert Ursprung
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引用次数: 0
Packed red blood cell transfusion in the very low birth weight infant: Aggressive, conservative, or neither? 极低出生体重婴儿的填充红细胞输注:积极,保守,还是两者都不?
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-02-28 DOI: 10.1016/j.siny.2026.101719
Matthew A Saxonhouse, Cassandra Josephson, Robin Ohls, Ravi Patel
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引用次数: 0
The case for improving care for patients and families affected by birth at <25 weeks' gestation. 改善对受妊娠<25周分娩影响的患者和家庭的护理的案例。
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-02-27 DOI: 10.1016/j.siny.2026.101713
Matthew A Rysavy

The medical management of infants born before 25 weeks' gestation is among the most controversial and challenging areas of perinatology. Despite remarkable advances in neonatal intensive care over the past half century, substantial variability in clinical care and outcomes persists. Infants born at 22-24 weeks' gestation account for approximately 1 in 5 infant deaths in the United States, 1 in 50 neonatal intensive care admissions, and 1 in 3 newborn ventilator-days in United States tertiary centers-yet they are poorly represented in clinical trials and little evidence exists to guide safe and effective care. Drawing from international experience and emerging data, we propose three strategies to improve the care of these patients and their families: (1) identifying the unique physiological characteristics of infants <25 weeks' gestation that require specialized approaches; (2) generating evidence to inform care through collaborative networks; and (3) systematically partnering with families and former patients to guide care and research.

25周前出生婴儿的医疗管理是围产期最具争议和挑战性的领域之一。尽管在过去的半个世纪中,新生儿重症监护取得了显著的进步,但临床护理和结果的实质性变化仍然存在。在美国,22-24周出生的婴儿约占婴儿死亡人数的五分之一,新生儿重症监护入院人数的五分之一,以及美国三级医疗中心新生儿呼吸机日的三分之一,但他们在临床试验中的代表性很低,也几乎没有证据来指导安全有效的护理。根据国际经验和新兴数据,我们提出三个策略来改善这些患者及其家庭的护理:(1)识别婴儿独特的生理特征
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引用次数: 0
Fortification of human milk for feeding preterm infants: What is the ideal strategy? 强化母乳喂养早产儿:什么是理想的策略?
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-02-27 DOI: 10.1016/j.siny.2026.101710
Fernando Moya

Promoting optimal growth in preterm infants is of paramount importance. Multiple reports have associated better growth during their Neonatal Intensive Care Unit (NICU) stay with improved neurodevelopmental outcome and a lesser risk of certain morbidities. Nowadays, most preterm infants receive human milk (HM) feedings, either mother's own or donor milk. Widespread use of HM to feed preterm infants has contributed to a decrease in complications like necrotizing enterocolitis. This notwithstanding, HM often does not provide sufficient protein and other nutrients to promote adequate growth in these infants and, therefore, must be fortified with specially designed human milk fortifiers of human or bovine origin. These provide added amounts of protein, minerals like sodium, calcium, and phosphorus as well as vitamins and other micronutrients. Which fortification strategy, i.e. type of fortifier, timing of fortification, must be used to promote optimal growth and neurodevelopment is still a matter of debate. The following articles by the well-recognized experts in neonatal nutrition, Drs. Amy Hair and Brenda Poindexter, will describe alternate strategies to fortify HM and their potential benefits, and are a reflection of the scholarly discussions held during the 2025 Neonatal Insights: Best Evidence and Practice in Clinical Neonatology Conference.

促进早产儿的最佳生长是至关重要的。多份报告表明,新生儿重症监护病房(NICU)住院期间,他们的生长状况更好,神经发育结果也有所改善,某些疾病的风险也较低。现在,大多数早产儿接受母乳喂养,无论是母亲自己的母乳还是捐赠的母乳。广泛使用HM喂养早产儿有助于减少坏死性小肠结肠炎等并发症。尽管如此,HM经常不能提供足够的蛋白质和其他营养物质来促进这些婴儿的适当生长,因此,必须用特别设计的人乳或牛乳强化剂来强化。这些食物提供了额外的蛋白质、钠、钙、磷等矿物质以及维生素和其他微量营养素。哪种强化策略,即强化类型,强化时间,必须用于促进最佳生长和神经发育仍然是一个有争议的问题。下面的文章是由公认的新生儿营养专家,dr。Amy Hair和Brenda Poindexter将描述强化HM及其潜在益处的替代策略,并反映2025年新生儿洞察:临床新生儿学会议的最佳证据和实践期间举行的学术讨论。
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引用次数: 0
Can artificial intelligence predict failure of non-invasive respiratory support in the neonatal unit? 人工智能能否预测新生儿病房无创呼吸支持失败?
IF 2.8 3区 医学 Q1 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-11-18 DOI: 10.1016/j.siny.2025.101692
Eleanor Jeffreys , Allan Jenkinson , Theodore Dassios , Anne Greenough

Background

Non-invasive ventilation (NIV) is a key form of respiratory support in neonatal intensive care units (NICU). Non-invasive ventilation failure, however, can lead to adverse outcomes in preterm infants. This narrative review explores the potential of using artificial intelligence (AI) to improve the prediction of NIV failure, potentially reducing the mortality and morbidity within this population.

Methods

A literature search was conducted using PubMed with terms relating to AI, machine learning, NIV and neonatology. Studies which used AI models to predict NIV failure or the need for intubation, within the neonatal population, were included. Model performance was assessed using area under the receiver operating characteristic curve (AUC).

Results

Six studies, including 3421 infants, were identified. Various AI techniques were used including deep learning models, for example multimodal deep neural networks, as well as simpler machine learning models such as logistic regression and support vector machines. AUC values ranged from 0.78 to 0.93, with most models exhibiting clinically useful performance defined as an AUC >0.8. The modal key predictive factors across the six studies were gestational age, SpO2 and maximum FiO2.

Conclusion

AI- generated models for predicting NIV failure as first intention in the NICU setting show potential. Deep learning models demonstrate particular promise; however, further large multicenter externally validated studies are required to assess generalizability and to aid integration into routine clinical practice. Implementation of AI models to predict NIV failure as first intention and post-extubation could lead to improved clinical decision making and personalized care.
背景:无创通气(NIV)是新生儿重症监护病房(NICU)呼吸支持的关键形式。然而,无创通气失败可导致早产儿的不良后果。这篇叙述性综述探讨了使用人工智能(AI)改善NIV失败预测的潜力,可能降低这一人群的死亡率和发病率。方法:在PubMed检索人工智能、机器学习、NIV和新生儿学相关的文献。包括在新生儿人群中使用人工智能模型预测NIV失败或需要插管的研究。采用受试者工作特征曲线下面积(AUC)评价模型性能。结果:确定了6项研究,包括3421名婴儿。使用了各种人工智能技术,包括深度学习模型,例如多模态深度神经网络,以及更简单的机器学习模型,如逻辑回归和支持向量机。AUC值从0.78到0.93不等,大多数模型的AUC值为0.8。6项研究的模态关键预测因素为胎龄、SpO2和最大FiO2。结论:人工智能生成的模型预测NIV失败作为NICU设置的第一意图是有潜力的。深度学习模型展示了特别的前景;然而,需要进一步的大型多中心外部验证研究来评估其普遍性,并帮助其融入常规临床实践。实施人工智能模型来预测NIV失败作为第一意图和拔管后可以改善临床决策和个性化护理。
{"title":"Can artificial intelligence predict failure of non-invasive respiratory support in the neonatal unit?","authors":"Eleanor Jeffreys ,&nbsp;Allan Jenkinson ,&nbsp;Theodore Dassios ,&nbsp;Anne Greenough","doi":"10.1016/j.siny.2025.101692","DOIUrl":"10.1016/j.siny.2025.101692","url":null,"abstract":"<div><h3>Background</h3><div>Non-invasive ventilation (NIV) is a key form of respiratory support in neonatal intensive care units (NICU). Non-invasive ventilation failure, however, can lead to adverse outcomes in preterm infants. This narrative review explores the potential of using artificial intelligence (AI) to improve the prediction of NIV failure, potentially reducing the mortality and morbidity within this population.</div></div><div><h3>Methods</h3><div>A literature search was conducted using PubMed with terms relating to AI, machine learning, NIV and neonatology. Studies which used AI models to predict NIV failure or the need for intubation, within the neonatal population, were included. Model performance was assessed using area under the receiver operating characteristic curve (AUC).</div></div><div><h3>Results</h3><div>Six studies, including 3421 infants, were identified. Various AI techniques were used including deep learning models, for example multimodal deep neural networks, as well as simpler machine learning models such as logistic regression and support vector machines. AUC values ranged from 0.78 to 0.93, with most models exhibiting clinically useful performance defined as an AUC &gt;0.8. The modal key predictive factors across the six studies were gestational age, SpO<sub>2</sub> and maximum FiO<sub>2.</sub></div></div><div><h3>Conclusion</h3><div>AI- generated models for predicting NIV failure as first intention in the NICU setting show potential. Deep learning models demonstrate particular promise; however, further large multicenter externally validated studies are required to assess generalizability and to aid integration into routine clinical practice. Implementation of AI models to predict NIV failure as first intention and post-extubation could lead to improved clinical decision making and personalized care.</div></div>","PeriodicalId":49547,"journal":{"name":"Seminars in Fetal & Neonatal Medicine","volume":"31 1","pages":"Article 101692"},"PeriodicalIF":2.8,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145607076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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Seminars in Fetal & Neonatal Medicine
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