Larsen Joseph R, Zheng Chunlei, La Jennifer, Wu Julie Tsu-Yu, Kelley Michael, Gaziano J Michael, Brophy Mary, Do Nhan V, Kim Dae H, Driver Jane A, DuMontier Clark, Fillmore Nathanael R
Veterans Affairs Boston Cooperative Studies Program and.
Harvard Medical School, Boston, Massachusetts.
Ann Am Thorac Soc. 2025 Apr;22(4):598-608. doi: 10.1513/AnnalsATS.202406-587OC.
Older adults make up the majority of patients with advanced non-small cell lung cancer (NSCLC) and often carry multiple other comorbidities (multimorbidity) when initiating treatment. The nature and impact of multimorbidity remain largely unknown, given the limitations of standard count-based comorbidity indices in aging patients and their exclusion from clinical trials. Our objective is to identify and define multimorbidity patterns in older U.S. veterans newly treated for advanced NSCLC in the national Veterans Affairs healthcare system between 2002 to 2020, and whether they are associated with mortality and healthcare use. We measured 63 chronic conditions in 10,160 veterans aged ⩾65 years newly treated for NSCLC in the national Veterans Affairs healthcare system from 2002 to 2020. Latent class analysis was used to identify patterns of multimorbidity among these conditions, with final patterns determined on the basis of model fit and clinical meaningfulness. Kaplan-Meier and Cox proportional hazards regression analyses were used to evaluate the association of multimorbidity patterns with overall survival (primary outcome) and with emergency department visits and unplanned hospitalizations (secondary outcomes). Five multimorbidity patterns arose from the latent class analysis, with overall survival varying across patterns (log-rank two-sided < 0.001). Veterans with metabolic diseases (24.7% of all patients; hazard ratio [HR] [95% confidence interval (CI)], 1.10 [1.04-1.16]), psychiatric and substance use disorders (16.0%; HR [95% CI], 1.17 [1.10-1.24]), cardiovascular disease (14.4%; HR [95% CI], 1.22 [1.15-1.30]), and multisystem impairment (10.7%; HR [95% CI], 1.36 [1.26-1.46]) had a higher hazard of death than veterans with common conditions of aging beyond their NSCLC (34.2%, reference), controlling for age, sex, race, days between diagnosis and treatment, date of diagnosis, and NSCLC stage and histology. Associations held after adjusting for the count-based Charlson comorbidity index. Multimorbidity patterns were also independently associated with emergency department visits and unplanned hospitalizations. Our findings reveal that the numerous chronic conditions present in older veterans with late-stage NSCLC cluster together into distinct multimorbidity patterns; the nature of conditions in these patterns carries value beyond their number.
老年患者占晚期非小细胞肺癌(NSCLC)患者的大多数,并且在开始治疗时常常伴有多种其他合并症(共病)。鉴于基于计数的标准合并症指数在老年患者中的局限性以及这些指数被排除在临床试验之外,共病的性质和影响在很大程度上仍然未知。我们的目标是识别和定义2002年至2020年期间在美国退伍军人事务部医疗系统中接受晚期NSCLC新治疗的老年退伍军人的共病模式,以及这些模式是否与死亡率和医疗保健使用相关。我们对2002年至2020年期间在美国退伍军人事务部医疗系统中接受NSCLC新治疗的10160名年龄≥65岁的退伍军人的63种慢性病进行了测量。使用潜在类别分析来识别这些疾病中共病的模式,并根据模型拟合和临床意义确定最终模式。使用Kaplan-Meier和Cox比例风险回归分析来评估共病模式与总生存期(主要结局)以及与急诊科就诊和非计划住院(次要结局)之间的关联。潜在类别分析产生了五种共病模式,总生存期因模式而异(对数秩双侧<0.001)。患有代谢疾病(占所有患者的24.7%;风险比[HR][95%置信区间(CI)],1.10[1.04-1.16])、精神疾病和物质使用障碍(16.0%;HR[95%CI],1.17[1.10-1.24])、心血管疾病(14.4%;HR[95%CI],1.22[1.15-1.30])和多系统损害(10.7%;HR[95%CI],1.36[1.26-1.46])的退伍军人比患有NSCLC之外常见衰老疾病的退伍军人(34.2%,参照组)死亡风险更高,同时对年龄、性别、种族、诊断与治疗之间的天数、诊断日期以及NSCLC分期和组织学进行了控制。在对基于计数的Charlson合并症指数进行调整后,关联仍然成立。共病模式还与急诊科就诊和非计划住院独立相关。我们的研究结果表明,晚期NSCLC老年退伍军人中存在的众多慢性病聚集形成了不同的共病模式;这些模式中疾病的性质所具有的价值超出了其数量。