Multimorbidity and Its Impact in Older United States Veterans Newly Treated for Advanced Non-Small Cell Lung Cancer.

Joseph R Larsen, Chunlei Zheng, Jennifer La, Julie Tsu-Yu Wu, Michael Kelley, J Michael Gaziano, Mary Brophy, Nhan V Do, Dae H Kim, Jane A Driver, Clark Dumontier, Nathanael R Fillmore
{"title":"Multimorbidity and Its Impact in Older United States Veterans Newly Treated for Advanced Non-Small Cell Lung Cancer.","authors":"Joseph R Larsen, Chunlei Zheng, Jennifer La, Julie Tsu-Yu Wu, Michael Kelley, J Michael Gaziano, Mary Brophy, Nhan V Do, Dae H Kim, Jane A Driver, Clark Dumontier, Nathanael R Fillmore","doi":"10.1513/AnnalsATS.202406-587OC","DOIUrl":null,"url":null,"abstract":"<p><strong>Rationale: </strong>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.</p><p><strong>Objective: </strong>Our objective is to identify and define multimorbidity patterns in older U.S. veterans newly treated for advanced NSCLC in the national VA healthcare system between 2002 to 2020, and whether they are associated with mortality and healthcare utilization.</p><p><strong>Methods: </strong>We measured 63 chronic conditions in 10,160 veterans age ≥ 65 years newly treated for NSCLC in the national Veterans Affairs healthcare system from 2002 to 2020. Latent class analysis (LCA) was used to identify patterns of multimorbidity among these conditions, with final patterns determined based on 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).</p><p><strong>Results: </strong>Five multimorbidity patterns arose from the LCA, with overall survival varying across patterns (log-rank 2-sided P<0.001). Veterans with metabolic diseases (24.7% of all patients; HR [95% 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 compared to veterans with common conditions of aging beyond their NSCLC (34.2%, reference), controlling for age, gender, 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.</p><p><strong>Conclusion: </strong>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 carry value beyond their number.</p>","PeriodicalId":93876,"journal":{"name":"Annals of the American Thoracic Society","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of the American Thoracic Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1513/AnnalsATS.202406-587OC","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Rationale: 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.

Objective: Our objective is to identify and define multimorbidity patterns in older U.S. veterans newly treated for advanced NSCLC in the national VA healthcare system between 2002 to 2020, and whether they are associated with mortality and healthcare utilization.

Methods: We measured 63 chronic conditions in 10,160 veterans age ≥ 65 years newly treated for NSCLC in the national Veterans Affairs healthcare system from 2002 to 2020. Latent class analysis (LCA) was used to identify patterns of multimorbidity among these conditions, with final patterns determined based on 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).

Results: Five multimorbidity patterns arose from the LCA, with overall survival varying across patterns (log-rank 2-sided P<0.001). Veterans with metabolic diseases (24.7% of all patients; HR [95% 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 compared to veterans with common conditions of aging beyond their NSCLC (34.2%, reference), controlling for age, gender, 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.

Conclusion: 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 carry value beyond their number.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
新近接受晚期非小细胞肺癌治疗的美国老年退伍军人的多病症及其影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
10.00
自引率
0.00%
发文量
0
期刊最新文献
Deep Learning for Predicting Acute Exacerbation and Mortality of Interstitial Lung Disease. Incidence of Pulmonary Hypertension in the Echocardiography Referral Population. Multimorbidity and Its Impact in Older United States Veterans Newly Treated for Advanced Non-Small Cell Lung Cancer. Pretreatment Chest X-ray Scores and HIV Serostatus Are Associated with Lung function at TB Cure. Stakeholder Perspectives on Categorizing Care Settings for Measures of Hospital- and Institution-free Days.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1