一种用于在手术医院获得性感染现患率调查中预先筛选需进行个体评估患者的自动化算法。
An automated algorithm to preselect patients to be assessed individually in point prevalence surveys for hospital-acquired infections in surgery.
作者信息
Streefkerk Roel H R A, Moorman Peter W, Parlevliet Gerard A, van der Hoeven Conrad, Verbrugh Henri A, Vos Margreet C, Verkooijen Roel P
机构信息
Department of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Rotterdam, The Netherlands.
出版信息
Infect Control Hosp Epidemiol. 2014 Jul;35(7):886-7. doi: 10.1086/676868. Epub 2014 May 29.
In this pilot study, we evaluate an algorithm that uses predictive clinical and laboratory parameters to differentiate between patients with hospital-acquired infection (HAI) and patients without HAI. Seventy-four percent of the studied population of surgical patients could be reliably (negative predictive value of 98%) excluded from detailed assessment by the infection control practitioner.
在这项试点研究中，我们评估了一种算法，该算法使用预测性临床和实验室参数来区分医院获得性感染（HAI）患者和非HAI患者。74%的接受研究的外科患者群体可以被感染控制从业者可靠地排除在详细评估之外（阴性预测值为98%）。
Zotero 插件