Neonatal Cardiac Rhabdomyoma: A Single-Center Experience.

来自 PUBMED

作者:

Kaya BAkduman HDilli DSayıcı İUKunt SDoğangönül MŞahin GAksoy ÖNUçan BZenciroğlu A

展开

摘要:

Cardiac rhabdomyoma, known as the most common benign cardiac tumor in childhood, is strongly associated with tuberous sclerosis complex. This study aims to present our single-center experience regarding clinical observations, diagnostic approaches, and treatment modalities for cardiac rhabdomyoma identified during the neonatal period. In this clinical observational study, we retrospectively assessed the outcomes of 12 newborn patients diagnosed with cardiac rhabdomyoma who were followed up in our neonatal intensive care unit over the past 12 years. The mean gestational age of the patients was 38.2±1.6 weeks, with an average birth weight of 3193±314 grams. The mean postnatal age at initial diagnosis was 12.42±15.75 days. Tuberous sclerosis complex was clinically identified in 50% of cases (six patients). Seven infants received everolimus treatment, while three infants underwent clinical monitoring without specific interventions. A significant reduction in cardiac mass size was observed in all surviving patients, leading to their subsequent discharge from the hospital. Cardiac rhabdomyomas often undergo spontaneous regression in early childhood. However, in cases with obstructive lesions or arrhythmias, they may present life-threatening consequences. Timely diagnosis, appropriate clinical management, and monitoring are crucial in optimizing outcomes for neonates with cardiac rhabdomyoma.

收起

展开

DOI:

10.1055/a-2325-5490

被引量:

0

年份:

1970

SCI-Hub (全网免费下载) 发表链接

通过 文献互助 平台发起求助,成功后即可免费获取论文全文。

查看求助

求助方法1:

知识发现用户

每天可免费求助50篇

求助

求助方法1:

关注微信公众号

每天可免费求助2篇

求助方法2:

求助需要支付5个财富值

您现在财富值不足

您可以通过 应助全文 获取财富值

求助方法2:

完成求助需要支付5财富值

您目前有 1000 财富值

求助

我们已与文献出版商建立了直接购买合作。

你可以通过身份认证进行实名认证,认证成功后本次下载的费用将由您所在的图书馆支付

您可以直接购买此文献,1~5分钟即可下载全文,部分资源由于网络原因可能需要更长时间,请您耐心等待哦~

身份认证 全文购买

相似文献(100)

参考文献(0)

引证文献(0)

来源期刊

-

影响因子:暂无数据

JCR分区: 暂无

中科院分区:暂无

研究点推荐

关于我们

zlive学术集成海量学术资源,融合人工智能、深度学习、大数据分析等技术,为科研工作者提供全面快捷的学术服务。在这里我们不忘初心,砥砺前行。

友情链接

联系我们

合作与服务

©2024 zlive学术声明使用前必读