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了解多发性骨髓瘤的死亡率:一项欧洲回顾性图表审查的结果。

Understanding mortality in multiple myeloma: Findings of a European retrospective chart review.

机构信息

Department of Haematology, Hôpital Saint-Antoine, Universite Pierre & Marie Curie, INSERM UMRs 938, Paris, France.

Seràgnoli Institute of Haematology and Medical Oncology, Bologna University School of Medicine, Bologna, Italy.

出版信息

Eur J Haematol. 2019 Aug;103(2):107-115. doi: 10.1111/ejh.13264. Epub 2019 Jun 18.

Abstract

OBJECTIVES

This study aimed to provide real-world data on the characteristics and treatment of patients with multiple myeloma (MM) at the time of death.

METHODS

The study was a retrospective patient chart review across France, Germany, Italy, Spain and the UK during 2016, and included patients who had died in the 3 months before the index date.

RESULTS

Data from 786 patients were reviewed. At the time of death, 37% of patients were receiving active treatment, 12% were in a treatment-free interval and 51% were receiving only supportive care. Death before and during active first-line treatment was not uncommon (6% and 24% of patients, respectively) but these deaths were often not solely due to disease progression; factors such as renal failure and infection frequently played a role (in 30% and 20% of patients at first-line, respectively). Most deaths at later lines were due to progressive disease. Cox model results suggested that early deaths were associated with advanced disease stage, high-risk cytogenetics and poor response and relapse profiles.

CONCLUSIONS

These real-world data could be used to help develop strategies for improving survival in patients with MM and to support management tailored to the stage of disease.

摘要

目的

本研究旨在提供多发性骨髓瘤(MM)患者死亡时的特征和治疗的真实世界数据。

方法

本研究是 2016 年在法国、德国、意大利、西班牙和英国进行的一项回顾性患者病历审查,纳入了在指数日期前 3 个月内死亡的患者。

结果

共审查了 786 名患者的数据。在死亡时,37%的患者正在接受积极治疗,12%的患者处于无治疗间期,51%的患者仅接受支持性治疗。在一线治疗前和治疗期间死亡并不罕见(分别为 6%和 24%的患者),但这些死亡并非仅由疾病进展引起;肾衰竭和感染等因素常起作用(分别占一线治疗患者的 30%和 20%)。后期死亡大多归因于疾病进展。Cox 模型结果表明,早期死亡与疾病晚期、高危细胞遗传学和不良反应及复发特征有关。

结论

这些真实世界数据可用于帮助制定改善 MM 患者生存的策略,并支持针对疾病阶段的个体化管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88ff/6851592/7662b40626b5/EJH-103-107-g001.jpg

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