Tyczynski Jerzy E, Potluri Ravi, Kilpatrick Ryan, Mazumder Debasish, Ghosh Anirban, Liede Alexander
AbbVie Inc, North Chicago, IL, USA.
SmartAnalyst Inc, New York, NY, USA.
Oncol Ther. 2021 Dec;9(2):471-488. doi: 10.1007/s40487-021-00150-8. Epub 2021 Apr 28.
The incidence of pneumonitis, a treatment-related adverse event (AE) in non-small cell lung cancer (NSCLC) patients, has been studied in the United States mostly through clinical trials and retrospective chart reviews. Few analyses of real-world data have been published. This study of a large nationally representative health records database estimated the incidence and predictors of pneumonitis among treated NSCLC patients between 2008 and 2018.
The Optum electronic health records (EHR) database includes data on over 80 million patients from more than 50 healthcare plans. The cohort of primary NSCLC patients was identified using ICD-9/10 codes. Natural language processing of unstructured data from physicians' notes facilitated extraction of biomarker (epidermal growth factor receptor [EGFR] and programmed death ligand-1 [PD-L1]) status. Cumulative incidence was estimated as the proportion with pneumonitis overall, by clinical characteristics, and line of therapy (LOT) after diagnosis and treatment. Univariate analysis of incidence rates (cases/1000 person-years) enabled the identification of significant predictors of risk. Competing risk regression identified predictors of pneumonitis.
The cohort included 81,628 patients. Overall, 19.0% developed pneumonitis during any LOT, with a cumulative incidence of 33.7% and 17.0% for patients with a prior history of pneumonitis and those without, respectively. Univariate analyses revealed several factors associated with pneumonitis (p < 0.05). While factors varied between LOTs, common factors included male gender, squamous histology, history of diabetes or pneumonitis, EGFR-negative status, monotherapy immunomodulatory drugs, or history of radiation therapy. Multivariable competing risk regression showed that male gender, history of pneumonitis, EGFR-negative status, use of other targeted therapies, use of immunomodulatory drugs, and history of radiation therapy predicted pneumonitis.
Pneumonitis is significantly associated with NSCLC treatment. Knowledge of its predictors identified in this study may help devise strategies to mitigate its impact, enhancing treatment adherence and improving outcomes.
在美国,肺炎是一种非小细胞肺癌(NSCLC)患者中与治疗相关的不良事件(AE),其发病率大多通过临床试验和回顾性病历审查进行研究。已发表的真实世界数据分析较少。本研究利用一个具有全国代表性的大型健康记录数据库,估计了2008年至2018年接受治疗的NSCLC患者中肺炎的发病率及预测因素。
Optum电子健康记录(EHR)数据库包含来自50多个医疗保健计划的8000多万患者的数据。使用ICD-9/10编码识别原发性NSCLC患者队列。对医生记录中的非结构化数据进行自然语言处理,有助于提取生物标志物(表皮生长因子受体[EGFR]和程序性死亡配体-1[PD-L1])状态。累积发病率按总体、临床特征以及诊断和治疗后的治疗线(LOT)计算肺炎患者的比例。对发病率(病例数/1000人年)进行单因素分析,以确定显著的风险预测因素。竞争风险回归确定了肺炎的预测因素。
该队列包括81628名患者。总体而言,19.0%的患者在任何治疗线期间发生肺炎,有肺炎病史的患者累积发病率为33.7%,无肺炎病史的患者累积发病率为17.0%。单因素分析揭示了几个与肺炎相关的因素(p<0.05)。虽然不同治疗线的因素有所不同,但常见因素包括男性、鳞状组织学、糖尿病或肺炎病史、EGFR阴性状态、单药免疫调节药物或放射治疗史。多变量竞争风险回归显示,男性、肺炎病史、EGFR阴性状态、使用其他靶向治疗、使用免疫调节药物和放射治疗史可预测肺炎。
肺炎与NSCLC治疗显著相关。本研究中确定的其预测因素的知识可能有助于制定减轻其影响的策略,提高治疗依从性并改善治疗结果。