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利用真实世界证据探讨多发性骨髓瘤患者的 CAR-T 治疗可及性

英文原题:Investigating CAR-T Treatment Access for Multiple Myeloma Patients Using Real-World Evidence.

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Investigating CAR-T Treatment Access for Multiple Myeloma Patients Using Real-World Evidence.

PubMed 2026/02/18(内容时间) Cancers (Basel) Q2 · IF 4.8(JCR 2025)

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中文摘要

探讨MM患者的疾病特征、治疗地点和患者人口学特征与接受CAR-T 治疗之间的关联。设计:回顾性队列研究,使用加州大学健康数据仓库(UCHDW)2021年1月至2025年1月期间的电子健康记录数据。地点:UCHDW内的六家学术健康中心和十二家附属医院。参与者:一个基于人群的队列,包含12,360名确诊为MM并在提供CAR-T 治疗的加州大学机构接受治疗的成年患者。分析于2025年2月至2025年3月进行。暴露:MM诊断后接受多种癌症治疗。主要结局和指标:使用逻辑回归估计疾病特征、治疗地点和患者人口学特征与接受CAR-T 治疗之间关联的优势比(OR)和95%置信区间(CI)。应用零样本GPT-4推理模型对UCSF临床记录进行评估,以判断是否讨论了CAR-T 治疗、确定记录的合格性,并对合格性判定的理由进行分类。

在12,360名MM患者中(平均年龄68.5岁;51.6%为男性),320名(2.6%)接受了CAR-T 治疗。诊断时的疾病特征,按国际分期系统(ISS)衡量,分布如下:I期(65.3%)、II期(24.4%)、III期(2.8%)和未知(7.5%)。在UC-1(49.3%)和UC-2(50.0%)接受治疗的患者更常被诊断为ISS II期,而在UC-3(55.5%)接受治疗的患者更常被诊断为ISS I期。我们的模型显示,与白人患者相比,自认为Black或African American的患者接受CAR-T 治疗的几率更低(OR,0.33;[95% CI,0.17-0.62])。与UC-1相比,在UC-3接受治疗的患者接受CAR-T 治疗的几率也更低(OR,0.42;[95% CI,0.30-0.59])。在270例使用临床记录评估CAR-T 资格的UCSF患者中,被判定为符合条件但未记录CAR-T 讨论的患者比例在自认为Other Pacific Islander的患者中最高(50%),其次是Black或African American(4.2%)、Asian(3.2%)和白人患者(0.6%)。结论与意义:在一个大型学术医疗系统内,接受CAR-T 治疗的情况因治疗地点和患者自报种族而异。一部分有记录显示符合条件但缺乏CAR-T 治疗讨论记录的患者,提示转诊、记录或诊疗路径方面可能存在差异,从而影响了观察到的治疗模式。

展开英文摘要原文

Importance : Multiple myeloma (MM) is the second most common hematologic malignancy in the U. S. , with a higher incidence among Black patients than White patients. Chimeric antigen receptor T-cell (CAR-T) therapies show clinical promise, but their limited availability raises concerns about access. Objective : To examine associations between disease characteristics, treatment location, and patient demographics with receipt of CAR-T therapy among patients with MM. Design : Retrospective cohort study using electronic health record data from the University of California Health Data Warehouse (UCHDW) between January 2021 and January 2025. Setting : Six academic health centers and twelve affiliated hospitals within the UCHDW. Participants : A population-based cohort of 12,360 adult patients diagnosed with MM and treated at a University of California facility offering CAR-T administration. Analyses were conducted from February 2025 to March 2025. Exposures : Receipt of multiple cancer therapies following MM diagnosis.

Main Outcomes and Measures : Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between disease characteristics, treatment locations, and patient demographics with receipt of CAR-T therapy. A zero-shot GPT-4 inference model was applied to UCSF clinical notes to assess whether CAR-T therapy was discussed, determine documented eligibility, and classify rationale for eligibility determinations.

Results : Among 12,360 patients with MM (mean age, 68. 5 years; 51. 6% male), 320 (2. 6%) received CAR-T therapy. Disease characteristics at diagnosis, measured by the International Staging System (ISS), was distributed as follows: Stage I (65. 3%), Stage II (24. 4%), Stage III (2. 8%), and Unknown (7. 5%). Patients treated at UC-1 (49. 3%), and UC-2 (50. 0%) were more frequently diagnosed with ISS Stage II, whereas patients treated at UC-3 (55. 5%) were more frequently diagnosed with ISS Stage I.

Our model showed that patients identifying as Black or African American had lower odds of receiving CAR-T therapy compared with White patients (OR, 0. 33; [95% CI, 0. 17-0. 62]). Patients treated at UC-3 also had lower odds of receiving CAR-T therapy compared with UC-1 (OR, 0. 42; [95% CI, 0. 30-0. 59]). Among 270 UCSF patients assessed for CAR-T eligibility using clinical notes, the proportion of patients deemed eligible without documented CAR-T discussions was highest among those identifying as Other Pacific Islander (50%), followed by Black or African American (4.

2%), Asian (3. 2%), and White patients (0. 6%). Conclusions and Relevance : Within a large academic health system, receipt of CAR-T therapy varied by treatment location and patient-reported race. A subset of patients with documented eligibility lacked recorded discussions of CAR-T therapy, suggesting potential differences in referral, documentation, or care pathways influencing observed treatment patterns.

论文信息

作者
Davidson J、Kumar A、Patel A、Chen IY、Butte AJ、Zack T
单位
Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA 94158, USA.United States
期刊
Cancers2026 Feb 18
原文标识
PubMed 41749922 · DOI 10.3390/cancers18040669

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