Kim Byunghyun, Choi Jungho, Kim Kyuseok, Jang Sujin, Shin Tae Gun, Kim Won Young, Kim Jung-Youn, Park Yoo Seok, Kim Soo Hyun, Lee Hui Jai, Shin Jonghwan, You Je Sung, Kim Kyung Su, Chung Sung Phil
Department of Emergency Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Korea.
Department of Emergency Medicine, Mediplex Sejong Hospital, Incheon, Korea.
Acad Emerg Med. 2017 Oct;24(10):1226-1234. doi: 10.1111/acem.13255. Epub 2017 Sep 27.
Many studies have described constructing a prediction model for bacteremia in community-acquired pneumonia (CAP), but these studies were not validated in external heterogeneous groups. The objective of this study was to test the generalizability of a previous bacteremia prediction model for CAP by external validation.
This multicenter retrospective cohort analysis was performed in eight tertiary urban hospital emergency departments (EDs). We reviewed adult patients who were hospitalized after presentation to the ED with CAP. We categorized the enrolled patients into three groups according to the bacteremia prediction model score and calculated the number of patients with or without a blood culture-positive result. We performed a multivariable analysis to identify significant predictors for bacteremia.
Among the enrolled 2,001 patients, 1,592 (79.6%), 371 (18.5%), and 38 (1.9%) were stratified to a low-, moderate-, and high-risk group, respectively, and this proportion was similar with previous study. Each group had a bacteremia-positive rate as follows: 1.2% for the low-risk group, 7.2% for the moderate-risk group, and 31.5% for the high-risk group. The area under the receiver operating characteristic curve for the bacteremia model in the external validation cohort was 0.81, and there was no significant difference with that of the previous internal validation cohort (p = 0.246). Assuming that blood cultures were not performed in the low-risk patients, the sensitivity and specificity of this model were 0.68 and 0.81, respectively. Additionally, the positive predictive value and negative predictive value were 9.54 and 98.87%, respectively. A platelet count less than 130 × 10 cells/L, albumin less than 3.3 mg/dL, and C-reactive protein greater than 17 mg/dL were identified as significant predictors with a sensitivity and specificity of 0.70 and 0.83, respectively.
The bacteremia prediction model was well validated in the general population and could help physicians make the decision to reduce the number of blood cultures in patients with CAP.
许多研究描述了构建社区获得性肺炎(CAP)菌血症的预测模型,但这些研究未在外部异质性群体中进行验证。本研究的目的是通过外部验证来检验先前CAP菌血症预测模型的可推广性。
本多中心回顾性队列分析在八家城市三级医院急诊科进行。我们回顾了因CAP就诊于急诊科后住院的成年患者。我们根据菌血症预测模型评分将纳入的患者分为三组,并计算血培养结果为阳性或阴性的患者数量。我们进行多变量分析以确定菌血症的显著预测因素。
在纳入的2001例患者中,分别有1592例(79.6%)、371例(18.5%)和38例(1.9%)被分层到低、中、高风险组,这一比例与先前研究相似。每组的菌血症阳性率如下:低风险组为1.2%,中风险组为7.2%,高风险组为31.5%。外部验证队列中菌血症模型的受试者工作特征曲线下面积为0.81,与先前内部验证队列无显著差异(p = 0.246)。假设低风险患者未进行血培养,该模型的敏感性和特异性分别为0.68和0.81。此外,阳性预测值和阴性预测值分别为9.54%和98.87%。血小板计数低于130×10⁹/L、白蛋白低于3.3mg/dL和C反应蛋白大于17mg/dL被确定为显著预测因素,敏感性和特异性分别为0.70和0.83。
菌血症预测模型在一般人群中得到了很好的验证,有助于医生决定减少CAP患者的血培养次数。