Kuppermann N, Fleisher G R, Jaffe D M
Department of Internal Medicine, University of California, Davis School of Medicine, USA.
Ann Emerg Med. 1998 Jun;31(6):679-87. doi: 10.1016/s0196-0644(98)70225-2.
Occult pneumococcal bacteremia (OPB) occurs in 2.5% to 3% of highly febrile children 3 to 36 months of age, and 10% to 25% of untreated patients with OPB experience complications, including 3% to 6% in whom meningitis develops. The purpose of this study was to identify predictors of OPB among a large cohort of young, febrile children treated as outpatients using multivariable statistical methods.
We derived and validated a logistic regression model for the prediction of OPB. We evaluated 6,579 outpatients 3 to 36 months of age with temperatures of 39 degrees C or higher who previously had been enrolled in a study of young febrile patients at risk of OPB in the emergency departments of 10 hospitals in the United States between 1987 and 1991; 164 patients (2.5%) had OPB. We randomly selected two thirds of this population for the derivation of the model and one third for validation. In the derivation set, we analyzed the univariate relationships of six variables with OPB: age, temperature, clinical score, WBC count, absolute neutrophil count (ANC), and absolute band count (ABC). All six variables were then entered into a logistic regression equation and those retaining statistical significance were considered to have an independent association with OPB.
Patients with OPB were younger, more frequently ill-appearing, and had higher temperatures, WBC, ANC, and ABC than patients without bacteremia. Only three variables, however, retained statistically significant associations with OPB in the multivariate analysis: ANC (Adjusted odds ratio [OR] 1.15 for each 1,000 cells/mm3 increase, 95% confidence interval [CI] 1.06, 1.25), temperature (adjusted OR 1.77 for each 1 degree C increase, 95% CI 1.21, 2.58), and age younger than 2 years (adjusted OR 2.43 versus patients 2 to 3 years old, 95% CI interval 1.11, 5.34). In the derivation set, 8.1% of patients with ANCs greater than or equal to 10,000 cell/mm3 had OPB (95% CI 6.3, 10.1%) versus .8% of patients with ANCs less than 10,000 cells/mm3 (95% CI .5, 1.2%). When tested on the validation set, the model performed similarly.
Independent predictors of OPB in children 3 to 36 months of age with temperatures of 39 degrees C or higher treated as outpatients include ANC, temperature, and age younger than 2 years. These predictors may be used to develop clinical strategies to limit laboratory testing and antibiotic administration to those children at greatest risk of OPB.
隐匿性肺炎球菌菌血症(OPB)发生于2.5%至3%的3至36个月高热儿童中,10%至25%的未经治疗的OPB患者会出现并发症,其中3%至6%会发展为脑膜炎。本研究的目的是使用多变量统计方法在一大群作为门诊患者治疗的年幼发热儿童中确定OPB的预测因素。
我们推导并验证了一个用于预测OPB的逻辑回归模型。我们评估了6579名3至36个月大、体温39摄氏度或更高的门诊患者,这些患者曾于1987年至1991年间在美国10家医院的急诊科参与一项针对有OPB风险的年幼发热患者的研究;164名患者(2.5%)患有OPB。我们随机选择该人群的三分之二用于模型推导,三分之一用于验证。在推导组中,我们分析了六个变量与OPB的单变量关系:年龄、体温、临床评分、白细胞计数、绝对中性粒细胞计数(ANC)和绝对杆状核细胞计数(ABC)。然后将所有六个变量纳入逻辑回归方程,那些保留统计学意义的变量被认为与OPB有独立关联。
与无菌血症的患者相比,患有OPB的患者更年幼,病容更常见,体温、白细胞、ANC和ABC更高。然而,在多变量分析中只有三个变量与OPB保持统计学上的显著关联:ANC(每增加1000个细胞/mm³,调整后的优势比[OR]为1.15,95%置信区间[CI]为1.06, 1.25)、体温(每升高1摄氏度,调整后的OR为1.77,95% CI为1.21, 2.58)以及年龄小于2岁(与2至3岁患者相比,调整后的OR为2.43,95% CI区间为1.11, 5.34)。在推导组中,ANC大于或等于10000细胞/mm³的患者中有8.1%患有OPB(95% CI为6.3, 10.1%),而ANC小于10000细胞/mm³的患者中这一比例为0.8%(95% CI为0.5, 1.2%)。在验证组上进行测试时,该模型表现相似。
对于作为门诊患者治疗的3至36个月大、体温39摄氏度或更高的儿童,OPB的独立预测因素包括ANC、体温和年龄小于2岁。这些预测因素可用于制定临床策略,将实验室检查和抗生素给药限制在OPB风险最高的儿童中。