West Daniel C, Andrada Emily, Azari Rahman, Rangaswami Arun A, Kuppermann Nathan
Department of Pediatrics, Division of Emergency Medicine, School of Medicine, University of California, Davis, Sacramento, California 95817, USA.
J Pediatr Hematol Oncol. 2002 May;24(4):279-83. doi: 10.1097/00043426-200205000-00012.
Bacteremia is an important cause of death and complications in children with sickle cell disease (SCD), yet predictors of bacteremia in these patients have not been well identified. The purpose of this study was to test whether clinical and hematologic variables commonly used to predict bacteremia in normal young children with fever could accurately predict bacteremia in febrile children with SCD.
The authors reviewed the medical records of all patients with SCD younger than 18 years of age over a 10-year period at a single institution for febrile events. They tested the univariate associations of age, height of fever, white blood cell count (WBC), absolute neutrophil count (ANC), and absolute band count (ABC) with bacteremia. Three separate multivariate analyses were performed using the predictor variables age, temperature, and one of three hematologic variables (ANC, WBC, or ABC) with the outcome bacteremia.
There were 175 evaluable febrile events, of which 8 (4.6%) were associated with bacteremia. In the multivariate analyses, all hematologic variables, but not age or height of fever, retained significant associations with bacteremia.
In febrile children with SCD, WBC, ANC, and ABC are all independently associated with bacteremia when adjusting for height of fever and age. Hematologic variables may be useful in developing prediction algorithms to identify febrile patients with SCD at higher risk of bacteremia. These data emphasize the need for a national trial to develop a predictive model with defined thresholds.
菌血症是镰状细胞病(SCD)患儿死亡和并发症的重要原因,但这些患者菌血症的预测因素尚未得到很好的确定。本研究的目的是检验常用于预测正常发热幼儿菌血症的临床和血液学变量是否能准确预测发热SCD患儿的菌血症。
作者回顾了某单一机构10年间所有18岁以下SCD患儿发热事件的病历。他们检验了年龄、发热程度、白细胞计数(WBC)、绝对中性粒细胞计数(ANC)和绝对杆状核细胞计数(ABC)与菌血症的单变量关联。使用预测变量年龄、体温以及三个血液学变量(ANC、WBC或ABC)之一与菌血症结果进行了三项独立的多变量分析。
共有175次可评估的发热事件,其中8次(4.6%)与菌血症相关。在多变量分析中,所有血液学变量与菌血症保持显著关联,而年龄和发热程度则不然。
在发热的SCD患儿中,调整发热程度和年龄后,WBC、ANC和ABC均与菌血症独立相关。血液学变量可能有助于开发预测算法,以识别菌血症风险较高的发热SCD患者。这些数据强调需要进行一项全国性试验,以开发具有明确阈值的预测模型。