Suppr超能文献

预测脓毒症综合征患者的菌血症。学术医疗中心联盟脓毒症项目工作组。

Predicting bacteremia in patients with sepsis syndrome. Academic Medical Center Consortium Sepsis Project Working Group.

作者信息

Bates D W, Sands K, Miller E, Lanken P N, Hibberd P L, Graman P S, Schwartz J S, Kahn K, Snydman D R, Parsonnet J, Moore R, Black E, Johnson B L, Jha A, Platt R

机构信息

Department of Medicine, Brigham and Women's Hospital, Tufts University School of Medicine, Boston, Massachusetts 02115, USA.

出版信息

J Infect Dis. 1997 Dec;176(6):1538-51. doi: 10.1086/514153.

Abstract

The goal of this study was to develop and validate clinical prediction rules for bacteremia and subtypes of bacteremia in patients with sepsis syndrome. Thus, a prospective cohort study, including a stratified random sample of 1342 episodes of sepsis syndrome, was done in eight academic tertiary care hospitals. The derivation set included 881 episodes, and the validation set included 461. Main outcome measures were bacteremia caused by any organism, gram-negative rods, gram-positive cocci, and fungal bloodstream infection. The spread in probability between low- and high-risk groups in the derivation sets was from 14.5% to 60.6% for bacteremia of any type, from 9.8% to 32.8% for gram-positive bacteremia, from 5.3% to 41.9% for gram-negative bacteremia, and from 0.6% to 26.1% for fungemia. Because the model for gram-positive bacteremia performed poorly, a model predicting Staphylococcus aureus bacteremia was developed; it performed better, with a low- to high-risk spread of from 2.6% to 21.0%. The prediction models allow stratification of patients according to risk of bloodstream infections; their clinical utility remains to be demonstrated.

摘要

本研究的目的是开发并验证脓毒症综合征患者菌血症及菌血症亚型的临床预测规则。因此,在八家学术性三级护理医院开展了一项前瞻性队列研究,纳入了1342例脓毒症综合征发作的分层随机样本。推导集包括881例发作,验证集包括461例。主要结局指标为任何病原体引起的菌血症、革兰氏阴性杆菌、革兰氏阳性球菌和真菌血流感染。推导集中低风险组和高风险组之间的概率差异,任何类型菌血症为14.5%至60.6%,革兰氏阳性菌血症为9.8%至32.8%,革兰氏阴性菌血症为5.3%至41.9%,真菌血症为0.6%至26.1%。由于革兰氏阳性菌血症模型表现不佳,因此开发了预测金黄色葡萄球菌菌血症的模型;该模型表现更好,低风险至高风险的概率差异为2.6%至21.0%。这些预测模型可根据血流感染风险对患者进行分层;其临床实用性仍有待证明。

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