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六种儿科发热伴中性粒细胞减少症临床决策规则的外部验证。

External Validation of Six Pediatric Fever and Neutropenia Clinical Decision Rules.

出版信息

Pediatr Infect Dis J. 2018 Apr;37(4):329-335. doi: 10.1097/INF.0000000000001777.

Abstract

BACKGROUND

Fever and neutropenia (FN) clinical decision rules (CDRs) are recommended to help distinguish children with cancer at high and low risk of severe infection. The aim of this study was to validate existing pediatric FN CDRs designed to stratify children with cancer at high or low risk of serious infection or medical complication.

METHODS

Pediatric CDRs suitable for validation were identified from a literature search. Relevant data were extracted from an existing data set of 650 retrospective FN episodes in children with cancer. The sensitivity and specificity of each of the CDR were compared with the derivation studies to assess reproducibility.

RESULTS

Six CDRs were identified for validation: 2 were designed to predict bacteremia and 4 to predict adverse events. Five CDRs exhibited reproducibility in our cohort. A rule predicting bacteremia had the highest sensitivity (100%; 95% confidence interval (CI): 93%-100%) although poor specificity (17%), with only 15% identified as low risk. For adverse events, the highest sensitivity achieved was 84% (95% CI: 75%-90%), with specificity of 29% and 27% identified as low risk. A rule intended for application after a 24-hour period of inpatient observation yielded a sensitivity of 80% (95% CI: 73-86) and specificity of 46%, with 44% identified as low risk.

CONCLUSIONS

Five CDRs were reproducible, although not all can be recommended for implementation because of either inadequate sensitivity or failure to identify a clinically meaningful number of low-risk patients. The 24-hour rule arguably exhibits the best balance between sensitivity and specificity in our population.

摘要

背景

发热和中性粒细胞减少症(FN)临床决策规则(CDR)用于帮助区分癌症患儿发生严重感染的高风险和低风险。本研究旨在验证用于分层癌症患儿发生严重感染或医疗并发症高风险或低风险的现有儿科 FN CDR。

方法

从文献检索中确定适合验证的儿科 CDR。从现有的 650 例癌症患儿回顾性 FN 发作的现有数据集中提取相关数据。比较 CDR 的敏感性和特异性与原始研究,以评估其重现性。

结果

确定了 6 个用于验证的 CDR:2 个用于预测菌血症,4 个用于预测不良事件。在我们的队列中,5 个 CDR 具有重现性。预测菌血症的规则具有最高的敏感性(100%;95%置信区间(CI):93%-100%),但特异性差(17%),仅有 15%被识别为低风险。对于不良事件,达到的最高敏感性为 84%(95% CI:75%-90%),特异性为 29%和 27%被识别为低风险。适用于住院观察 24 小时后应用的规则的敏感性为 80%(95% CI:73-86%),特异性为 46%,44%被识别为低风险。

结论

有 5 个 CDR 具有重现性,但由于敏感性不足或未能识别出具有临床意义的低风险患者数量,并非所有 CDR 都可以推荐实施。在我们的人群中,24 小时规则在敏感性和特异性之间具有最佳平衡。

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