使用问卷调查、处方补充和结构化电子健康记录检查口服抗癌药物的延续。

AMIA ... Annual Symposium proceedings. AMIA Symposium Pub Date : 2025-05-22 eCollection Date: 2024-01-01
Congning Ni, Qingyuan Song, Jeremy L Warner, Qingxia Chen, Lijun Song, S Trent Rosenbloom, Bradley A Malin, Zhijun Yin
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引用次数: 0

摘要

持续用药对治疗效果和患者健康结果至关重要。本研究调查了口服抗癌药物(卡培他滨、依鲁替尼或舒尼替尼)的停药情况,该队列的特点是药物停药调查问卷、处方补充数据和结构化电子健康记录(EHRs)。我们根据对服药患者的调查对停药原因进行了分类,结果显示257名患者中有38%完成了治疗,而停药主要是由于对治疗无反应和/或疾病进展导致停药(33%)和副作用/并发症(9%)。生存分析显示不同的用药持久性,卡培他滨持久性随着时间的推移显著降低,两年内降至0.08。逻辑回归模型显示出较强的能力(AUC为0.835)识别有停药风险的患者。我们的研究显示了药物持续性的复杂性,并强调了了解药物停药模式和利用预测分析为癌症治疗的未来研究和临床监测提供信息的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Examining Oral Anti-Cancer Medication Continuation Using Questionnaires, Prescription Refills, and Structured Electronic Health Records.

Medication persistence is essential for the efficacy of treatment and patient health outcomes. This study investigates the discontinuation of oral anticancer medications (capecitabine, ibrutinib, or sunitinib) in a cohort that is well-characterized by medication discontinuation survey questionnaires, prescription refill data, and structured electronic health records (EHRs). We categorized discontinuation reasons based on a survey of patients taking medication, revealing that 38% of 257 patients completed therapy, while discontinuation was due primarily to no response to therapy and/or progression of disease leading to discontinuation (33%) and side effects/complication (9%). Survival analysis showed variable medication persistence, with capecitabine persistence decreasing significantly over time, to 0.08 in two years. A logistic regression model demonstrated strong capability (with an AUC of 0.835) to identify patients at risk for medication discontinuation. Our study shows the complexities of medication persistence and emphasizes the importance of understanding medication discontinuation patterns and leveraging predictive analytics to inform future research and clinical monitoring in the treatment of cancer.

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