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Technical evaluation of methods for identifying chemotherapy-induced febrile neutropenia in healthcare claims databases

机译:在医疗索赔数据库中鉴定化学疗法诱发的发热性中性粒细胞减少症的方法的技术评估

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Background Healthcare claims databases have been used in several studies to characterize the risk and burden of chemotherapy-induced febrile neutropenia (FN) and effectiveness of colony-stimulating factors against FN. The accuracy of methods previously used to identify FN in such databases has not been formally evaluated. Methods Data comprised linked electronic medical records from Geisinger Health System and healthcare claims data from Geisinger Health Plan. Subjects were classified into subgroups based on whether or not they were hospitalized for FN per the presumptive “gold standard” (ANC 9/L, and body temperature ≥38.3°C or receipt of antibiotics) and claims-based definition (diagnosis codes for neutropenia, fever, and/or infection). Accuracy was evaluated principally based on positive predictive value (PPV) and sensitivity. Results Among 357 study subjects, 82 (23%) met the gold standard for hospitalized FN. For the claims-based definition including diagnosis codes for neutropenia plus fever in any position (n=28), PPV was 100% and sensitivity was 34% (95% CI: 24–45). For the definition including neutropenia in the primary position (n=54), PPV was 87% (78–95) and sensitivity was 57% (46–68). For the definition including neutropenia in any position (n=71), PPV was 77% (68–87) and sensitivity was 67% (56–77). Conclusions Patients hospitalized for chemotherapy-induced FN can be identified in healthcare claims databases--with an acceptable level of mis-classification--using diagnosis codes for neutropenia, or neutropenia plus fever.
机译:背景技术医疗保健索赔数据库已用于数项研究中,以表征化疗诱导的发热性中性粒细胞减少症(FN)的风险和负担以及菌落刺激因子针对FN的有效性。以前尚未正式评估过在此类数据库中用于识别FN的方法的准确性。方法数据包括来自Geisinger Health System的链接电子医疗记录和来自Geisinger Health Plan的医疗保健索赔数据。根据是否根据假定的“黄金标准”(ANC 9 / L,体温≥38.3°C或接受抗生素)以及根据理赔的定义(FNC)将FN住院,将受试者分为亚组。中性粒细胞减少,发烧和/或感染的诊断代码)。准确性的评估主要基于阳性预测值(PPV)和敏感性。结果在357名研究对象中,有82名(23%)达到了住院FN的金标准。对于基于声明的定义,包括任何位置(n = 28)的中性粒细胞减少和发烧的诊断代码,PPV为100%,敏感性为34%(95%CI:24-45)。对于包括主要位置中性粒细胞减少症的定义(n = 54),PPV为87%(78-95),敏感性为57%(46-68)。对于包括任何位置(n = 71)的中性粒细胞减少症的定义,PPV为77%(68-87),敏感性为67%(56-77)。结论可以在医疗保健索赔数据库中识别出因化学疗法诱发的FN而住院的患者-误分类程度可以接受-使用中性粒细胞减少或中性粒细胞减少加发烧的诊断代码。

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