在患有癌症的儿童中开发和验证血栓栓塞的诊断算法,这些算法基于现实世界的数据
Uma Athale1,2,3, Jacqueline Halton4,5, Anastasia Gayowsky6
1Division of Hematology/Oncology, McMaster Children's Hospital, Hamilton Health Sciences, Hamilton, Ontario, Canada. athaleu@mcmaster.ca.
Pediatric research
|February 22, 2024
概括
这项研究开发并验证了算法,以使用卫生行政数据准确识别儿科血栓栓塞 (TE). 最好的算法结合了诊断和抗凝代码,为大规模的儿科血栓瘤研究提供了可靠的方法.
科学领域:
- 儿科瘤学 儿科瘤学
- 医疗信息学 医疗信息学
- 血栓形成研究研究
背景情况:
- 关于儿科血栓形成的研究,特别是与癌症相关的研究,受到研究规模小的限制.
- 现实世界卫生行政数据提供了大量,多样化的儿科患者群体.
- 在行政数据中缺乏用于识别儿科血栓的验证算法.
研究的目的:
- 评估用于识别儿科血栓塞栓症 (TE) 的诊断算法的准确性.
- 使用国际疾病分类 (ICD) 和医生计费代码开发了算法.
- 准确性与癌症儿童的图表审查诊断进行了比较.
主要方法:
- 儿科癌症注册表与行政数据库之间的数据链接.
- 开发使用ICD和计费代码的八种算法,包括组合和时间间隔.
- 1990-2016年的图表审查数据作为放射学证实儿童TE (≤19岁) 的参考标准.
主要成果:
- 性能最好的算法结合了诊断和抗凝剂利用代码,达到76%的灵敏度和85%的特异性.
- 仅使用ICD-10代码可以提高灵敏度到84%,具有80%的特异性.
- 该研究分析了2056名患者,其中有112例确诊的TE病例.
结论:
- 开发的算法提供了一个有效的方法,用于确定使用现实世界的行政数据的儿科TE.
- 这种方法促进了对儿科血栓形成的大规模研究,特别是在癌症患者中.
- 这些发现为推进儿科血栓瘤研究提供了有价值的工具.
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