Pediatric Hematology/Oncology, University of Bern, Inselspital, CH-3010 Bern, Switzerland.
J Clin Oncol. 2010 Apr 20;28(12):2008-14. doi: 10.1200/JCO.2009.25.8988. Epub 2010 Mar 15.
PURPOSE To develop a score predicting the risk of adverse events (AEs) in pediatric patients with cancer who experience fever and neutropenia (FN) and to evaluate its performance. PATIENTS AND METHODS Pediatric patients with cancer presenting with FN induced by nonmyeloablative chemotherapy were observed in a prospective multicenter study. A score predicting the risk of future AEs (ie, serious medical complication, microbiologically defined infection, radiologically confirmed pneumonia) was developed from a multivariate mixed logistic regression model. Its cross-validated predictive performance was compared with that of published risk prediction rules. Results An AE was reported in 122 (29%) of 423 FN episodes. In 57 episodes (13%), the first AE was known only after reassessment after 8 to 24 hours of inpatient management. Predicting AE at reassessment was better than prediction at presentation with FN. A differential leukocyte count did not increase the predictive performance. The score predicting future AE in 358 episodes without known AE at reassessment used the following four variables: preceding chemotherapy more intensive than acute lymphoblastic leukemia maintenance (weight = 4), hemoglobin > or = 90 g/L (weight = 5), leukocyte count less than 0.3 G/L (weight = 3), and platelet count less than 50 G/L (weight = 3). A score (sum of weights) > or = 9 predicted future AEs. The cross-validated performance of this score exceeded the performance of published risk prediction rules. At an overall sensitivity of 92%, 35% of the episodes were classified as low risk, with a specificity of 45% and a negative predictive value of 93%. CONCLUSION This score, based on four routinely accessible characteristics, accurately identifies pediatric patients with cancer with FN at risk for AEs after reassessment.
开发一种预测接受非清髓性化疗致中性粒细胞减少伴发热的儿科癌症患者不良事件(AE)风险的评分,并评估其性能。
前瞻性多中心研究观察了由非清髓性化疗引起 FN 的儿科癌症患者。从多变量混合逻辑回归模型中开发了一种预测未来 AE(即严重医疗并发症、微生物定义的感染、放射学确认的肺炎)风险的评分。将其交叉验证的预测性能与已发表的风险预测规则进行比较。
423 例 FN 中 122 例(29%)发生 AE。在 57 例(13%)中,仅在住院管理 8-24 小时后重新评估时才发现首例 AE。重新评估时预测 AE 优于 FN 时预测 AE。白细胞分类计数不能提高预测性能。在没有重新评估已知 AE 的 358 例中,预测未来 AE 的评分使用了以下四个变量:先前的化疗比急性淋巴细胞白血病维持化疗更密集(权重=4),血红蛋白>或=90g/L(权重=5),白细胞计数<0.3 G/L(权重=3),血小板计数<50 G/L(权重=3)。评分(权重总和)>或=9 预测未来 AE。该评分的交叉验证性能优于已发表的风险预测规则。总体敏感性为 92%,35%的病例被归类为低风险,特异性为 45%,阴性预测值为 93%。
基于四个常规可获得的特征,该评分准确识别了重新评估后有 FN 的儿科癌症患者 AE 风险。