Suppr超能文献

[Clinical study of penetrating thoracic injuries].

作者信息

Hirata N, Sakakibara T, Nomura F, Nakagawa K, Kuki S, Sakagoshi N, Takahashi T, Iwase K

出版信息

Nihon Kyobu Geka Gakkai Zasshi. 1989 Aug;37(8):1499-503.

PMID:2809311
Abstract

During the 13-year period ending in December 1987, 39 patients (pts) of penetrating thoracic injuries were treated. Thirty-five pts (89.7%) were male, and the age range was 21 to 56 years with average of 38.7 years. Thirty-one pts (79.5%) sustained stab wounds and eight (20.5%) had gun-shot wounds. 5 pts died in all (2 pts with stab wounds, 3 with gun-shot wounds). The wounds were limited on chest wall in 14 pts, and penetrated to thorax in 25. In these pts with penetrating wounds, lung injuries were found in 18, heart in 7 and esophagus in 1, respectively. Twenty-one pts had multiple injuries, and abdominal injuries were found in 20 pts (95.2%), limbs in 7 (33.3%), and neck in 2 (9.5%). All 5 dead pts had multiple injuries. Prognoses were fair in cases of simple chest wall injuries or lung injuries. In the cases of lung injuries, thoracotomy was performed in 8 pts (44.4%) and tube thoracostomy in 10 (55.6%). Thoracotomy was performed for massive bleeding (over 600 ml/1-2 hours) (6 cases) and the sites of the injuries suspecting of heart injuries (2 cases). Two pts undergoing tube thoracostomy and one pt done thoracotomy died, but the causes of the death were not related to lung injuries. Regarding the heart injuries, the injured sites were left ventricle in 1, right ventricle in 1, right atrium in 2, and pericardium in 3. All the 7 pts were in shock on arrival. In these pts with heart injuries, all the wounds were in and near the Sauer's danger zone. In all pts, emergent thoracotomy was performed, and 5 pts could be saved (mortality 28.6%). As the risk factors, heart injuries, multiple injuries, and gunshot injuries were noticed with mortality of 28.6%, 23.8%, and 37.5%, respectively.(ABSTRACT TRUNCATED AT 250 WORDS)

摘要

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