Suppr超能文献

小儿深部颈部感染的症状持续时间及CT表现

Symptom duration and CT findings in pediatric deep neck infection.

作者信息

Meyer Abby C, Kimbrough Tyler G, Finkelstein Marsha, Sidman James D

机构信息

University of Minnesota, Otolaryngology-Head and Neck Surgery, Minneapolis, MN, USA.

出版信息

Otolaryngol Head Neck Surg. 2009 Feb;140(2):183-6. doi: 10.1016/j.otohns.2008.11.005.

Abstract

OBJECTIVE

To investigate whether children with less than 48 hours of localized symptoms of deep neck infection are less likely to have an abscess on CT scan.

STUDY DESIGN

Case series.

SUBJECTS AND METHODS

The charts of children seen in a tertiary children's hospital for deep neck infections between 2000 and 2007 were reviewed.

RESULTS

Of 179 children identified, 167 (93.3%) underwent a CT scan of the neck of which 102 (61.1%) were positive for abscess. There was no significant difference in the rate of abscess on CT between children with less than 48 hours of localizing symptoms and 48 or more hours of symptoms at 58.1 percent and 58.3 percent, respectively (P = 0.98). Furthermore, there was no significant difference in age, gender, C-reactive protein levels, disease location, or length of stay between children with and without abscess on CT. White blood cell counts were significantly higher in the abscess group (P = 0.01); however, the median white blood cell count in both groups was above normal.

CONCLUSION

Because duration of symptoms does not predict finding of abscess on CT, it is appropriate to obtain a CT scan upon presentation in all children with symptoms concerning for neck abscess.

摘要

目的

探讨颈部深部感染局部症状出现少于48小时的儿童在CT扫描时发现脓肿的可能性是否较低。

研究设计

病例系列研究。

研究对象与方法

回顾了2000年至2007年在一家三级儿童医院就诊的颈部深部感染儿童的病历。

结果

在179名确诊儿童中,167名(93.3%)接受了颈部CT扫描,其中102名(61.1%)脓肿呈阳性。局部症状出现少于48小时的儿童与症状出现48小时或更长时间的儿童相比,CT扫描时脓肿发生率分别为58.1%和58.3%,无显著差异(P = 0.98)。此外,CT扫描有脓肿和无脓肿的儿童在年龄、性别、C反应蛋白水平、疾病部位或住院时间方面无显著差异。脓肿组白细胞计数显著更高(P = 0.01);然而,两组的白细胞计数中位数均高于正常水平。

结论

由于症状持续时间不能预测CT扫描时脓肿的发现情况,因此对于所有有颈部脓肿相关症状的儿童,就诊时进行CT扫描是合适的。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验