多重用药可独立预测淋巴样癌患者的生存、住院和感染

IF 7.6 2区 医学 Q1 HEMATOLOGY
HemaSphere Pub Date : 2025-07-16 DOI:10.1002/hem3.70172
Christian Brieghel, Thomas Lacoppidan, Esben Packness, Casper Møller Frederiksen, Mikkel Werling, Michael Asger Andersen, Christian Bjørn Poulsen, Emelie Curovic Rotbain, Carsten Utoft Niemann
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引用次数: 0

摘要

多种药物治疗是多种疾病的结果,可能会限制淋巴样癌(LC)患者的治疗选择。为了研究多重用药的临床影响,我们从丹麦处方登记中收集了46,803名新诊断的6种淋巴瘤亚型、慢性淋巴细胞白血病和多发性骨髓瘤(MM)患者的诊断前1年用药史。用药分组为单个药物类别(n = 79)、多种用药和处方药数量,并与总生存期(OS)、住院和严重感染相关。调整年龄、性别和多项测试后,我们证实了39种药物与OS、29种药物与住院、27种药物与严重感染之间的关联。尽管多药(<5 vs.≥5)与不良结局相关(OS、住院和严重感染的风险比[HR] 1.4;P < 0.001),药物数量(0-3 vs. 4-7 vs. 8-11 vs. >11)逐渐分层OS (HR分别为1.0 vs. 1.2 vs. 1.4 vs. 1.9;P < 0.001),住院率(HR分别为1.0 vs. 1.3 vs. 1.4 vs. 1.9;P < 0.001)和严重感染(HR分别为1.0 vs. 1.2 vs. 1.5 vs. 1.9;P < 0.001)在多变量分析中调整了年龄、性别、合并症和预后指标。最后,霍奇金淋巴瘤、套细胞淋巴瘤和MM的下一次治疗时间随着药物数量的增加而逐渐缩短(P < 0.001)。总之,1年用药史(即用药次数)是一个强有力的、独立的预后和预测指标,在随机临床试验和LC患者的临床实践中应被视为关键的基线特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Polypharmacy independently predicts survival, hospitalization, and infections in patients with lymphoid cancer

Polypharmacy independently predicts survival, hospitalization, and infections in patients with lymphoid cancer

Polypharmacy is a result of multimorbidity and may limit treatment options in patients with lymphoid cancer (LC). To investigate the clinical impact of polypharmacy, we gathered a prediagnostic 1-year medication history from the Danish prescription register for 46,803 newly diagnosed patients with six lymphoma subtypes, chronic lymphocytic leukemia, and multiple myeloma (MM). Medication was grouped into individual drug classes (n = 79), polypharmacy, and the number of prescription medications and correlated with overall survival (OS), hospitalization, and severe infection. Adjusting for age, sex, and multiple testing, we demonstrated associations between 39 drug classes and OS, 29 drug classes and hospitalization, and 27 drug classes and severe infection. Although polypharmacy (<5 vs. ≥5) was associated with adverse outcomes (hazard ratio [HR] 1.4 for OS, hospitalization, and severe infection; P < 0.001), the number of medications (0–3 vs. 4–7 vs. 8–11 vs. >11) gradually stratified OS (HR 1.0 vs. 1.2 vs. 1.4 vs. 1.9, respectively; P < 0.001), hospitalization (HR 1.0 vs. 1.3 vs. 1.4 vs. 1.9, respectively; P < 0.001), and severe infection (HR 1.0 vs. 1.2 vs. 1.5 vs. 1.9, respectively; P < 0.001) in multivariable analyses adjusted for age, sex, comorbidity, and prognostic indices. Lastly, the time to next treatment for Hodgkin lymphoma, mantle cell lymphoma, and MM was gradually shorter with an increasing number of medications (P < 0.001). In conclusion, a 1-year medication history summarized as the number of medications is a strong, independent prognostic and predictive marker that should be considered as a key baseline characteristic in randomized clinical trials and in clinical practice for LC patients.

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来源期刊
HemaSphere
HemaSphere Medicine-Hematology
CiteScore
6.10
自引率
4.50%
发文量
2776
审稿时长
7 weeks
期刊介绍: HemaSphere, as a publication, is dedicated to disseminating the outcomes of profoundly pertinent basic, translational, and clinical research endeavors within the field of hematology. The journal actively seeks robust studies that unveil novel discoveries with significant ramifications for hematology. In addition to original research, HemaSphere features review articles and guideline articles that furnish lucid synopses and discussions of emerging developments, along with recommendations for patient care. Positioned as the foremost resource in hematology, HemaSphere augments its offerings with specialized sections like HemaTopics and HemaPolicy. These segments engender insightful dialogues covering a spectrum of hematology-related topics, including digestible summaries of pivotal articles, updates on new therapies, deliberations on European policy matters, and other noteworthy news items within the field. Steering the course of HemaSphere are Editor in Chief Jan Cools and Deputy Editor in Chief Claire Harrison, alongside the guidance of an esteemed Editorial Board comprising international luminaries in both research and clinical realms, each representing diverse areas of hematologic expertise.
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