安全网医院系统中新确诊的大 B 细胞淋巴瘤患者的临床疗效

Jun Y. Jiang , Chijioke Nze , Danielle Guffey , Rockbum Kim , Abiodun O. Oluyomi , Omar Rosales , Raka Bandyo , Courtney N. Miller-Chism , Mark M. Udden , Martha P. Mims , Hilary Ma , Gustavo A. Rivero , Akiva Diamond , Purnima S. Teegavarapu , Ang Li ∗ , Christopher R. Flowers ∗
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引用次数: 0

摘要

摘要 没有保险或有社会经济障碍的大B细胞淋巴瘤(LBCL)患者的实际治疗效果数据非常有限。我们对在一家大型安全网医院系统接受治疗的新诊断 LBCL 患者进行了一项回顾性队列研究。2011年1月至2022年6月期间,德克萨斯州休斯顿哈里斯卫生系统共诊断出496名年龄在18岁以下的LBCL患者。中位年龄为53岁,75%的患者没有保险,81%的患者属于全国最贫困地区贫困指数四分位数。大多数患者(69%)处于疾病的 III/IV 期,44%的患者按照修订版国际预后指数(R-IPI)属于低危疾病,17%的患者有 HIV 感染史。从诊断到治疗的中位间隔为 17 天。中位随访时间为 53.5 个月。在 464 名可评估的患者中,66% 的患者获得了完全应答,11% 的患者获得了部分应答。在48名患者中,有26人(54%)符合细胞疗法的条件,接受了细胞疗法。5年后,无事件生存率和总生存率(OS)分别为57%和68%。影响OS的因素包括西班牙裔(危险比[HR],0.70;P = .027)、R-IPI(HR,4.67,风险差与风险很好;P <.001)、国家癌症研究所综合指数(HR,每单位增量1.53;P = .003)、血红蛋白(HR,每单位增量0.89;P = .002)和国际标准化比率(HR,每单位增量2.17;P = .007)。保险状况与 OS 的差异无关。在我们的安全网医疗系统中,有健全的财政援助计划,但细胞疗法的使用机会有限,未投保与较差的治疗效果无关。解决医疗障碍可能会改善其他环境下的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical outcomes of patients with newly diagnosed large B-cell lymphoma in a safety-net hospital system

Abstract

Real-world outcome data for patients with large B-cell lymphomas (LBCLs) who are uninsured or have socioeconomic barriers to care are limited. We performed a retrospective cohort study of patients with newly diagnosed LBCL treated in a large safety-net hospital system. Between January 2011 and June 2022, 496 patients aged >18 years were diagnosed with LBCL at Harris Health System, Houston, Texas. The median age was 53 years, 75% were uninsured, and 81% were in the most disadvantaged Area Deprivation Index national quartiles. Most (69%) had stage III/IV disease, 44% had poor-risk disease by the Revised International Prognostic Index (R-IPI), and 17% had a history of HIV infection. The median diagnosis-to-treatment interval was 17 days. The median follow-up time was 53.5 months. Among 464 evaluable patients, 66% achieved a complete response, and 11% had a partial response. Of 48 patients, 26 (54%) eligible for cell therapies received them. At 5 years, event-free and overall survival (OS) rates were 57% and 68%, respectively. Factors that affected OS included Hispanic ethnicity (hazard ratio [HR], 0.70; P = .027), R-IPI (HR, 4.67 for poor vs very good risk; P < .001), National Cancer Institute Comorbidity Index (HR, 1.53 per unit increment; P = .003), hemoglobin (HR, 0.89 per unit increment; P = .002), and International Normalized Ratio (HR, 2.17 per unit increment; P = .007). Insurance status was not associated with differences in OS. In our safety-net health system with robust financial assistance programs and limited access to cell therapies, uninsured status was not associated with inferior outcomes. Addressing barriers to care may improve outcomes in other settings.

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