Rackoff W R, Gonin R, Robinson C, Kreissman S G, Breitfeld P B
Section of Pediatric Hematology-Oncology, James Whitcomb Riley Hospital for Children, Indianapolis, IN 46202, USA.
J Clin Oncol. 1996 Mar;14(3):919-24. doi: 10.1200/JCO.1996.14.3.919.
We sought to identify factors assessable at the time of admission for fever and neutropenia that predict bacteremia in children with cancer.
One hundred fifteen consecutive episodes of fever and absolute neutrophil count (ANC) less than 500/microliter in 72 children with cancer were studied prospectively to determine the risk of bacteremia using data assessable at the time of presentation. After exploratory analysis identified admission temperature and absolute monocyte count (AMoC) as the strongest predictive factors, recursive partitioning was used to determine cutpoints for these variables that resulted in discrimination between episodes associated with a lower or higher risk of bacteremia.
There were 24 episodes of bacteremia (21% of episodes). Episodes were grouped using the cutpoints for AMoC and temperature: 17% were classified as low risk for bacteremia (AMoC > or = 100/microliter), 65% as intermediate risk (AMoC < 100/microliter and temperature < 39.0 degrees C), and 18% as high risk (AMoC < 100/microliter and temperature > or = 39.0 degrees C). No episodes classified as low risk were associated with bacteremia; 19% of intermediate-risk and 48% of high-risk episodes were associated with bacteremia. The odds ratio of bacteremia for the high-risk versus the intermediate-risk group is 4.4 (95% confidence interval, 1.6 to 12.9). The risk classification was validated using data from 57 different episodes of fever and neutropenia treated in the same hospital.
Three levels of risk for bacteremia are defined using the AMoC and temperature at the time of admission for fever and neutropenia. Trials now should be conducted to test whether these factors may be used to assign some children to less intensive or outpatient antibiotic therapy at the time of presentation with fever and neutropenia.
我们试图确定在癌症患儿因发热和中性粒细胞减少症入院时可评估的、能预测菌血症的因素。
前瞻性研究了72例癌症患儿连续出现的115次发热且绝对中性粒细胞计数(ANC)低于500/微升的情况,利用就诊时可评估的数据来确定菌血症风险。探索性分析确定入院体温和绝对单核细胞计数(AMoC)为最强预测因素后,采用递归分割法确定这些变量的切点,以区分菌血症风险较低或较高的情况。
有24次菌血症发作(占发作次数的21%)。根据AMoC和体温的切点对发作情况进行分组:17%被归类为菌血症低风险(AMoC≥100/微升),65%为中度风险(AMoC<100/微升且体温<39.0℃),18%为高风险(AMoC<100/微升且体温≥39.0℃)。无低风险分类的发作与菌血症相关;中度风险发作的19%和高风险发作的48%与菌血症相关。高风险组与中度风险组菌血症的比值比为4.4(95%置信区间,1.6至12.9)。使用同一家医院治疗的57次不同的发热和中性粒细胞减少症发作数据对风险分类进行了验证。
根据发热和中性粒细胞减少症入院时的AMoC和体温定义了菌血症的三个风险级别。现在应该进行试验,以测试这些因素是否可用于在患儿出现发热和中性粒细胞减少症时将一些患儿分配至强度较低的治疗或门诊抗生素治疗。