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

Larsen JR, Zheng C, La J, Wu JT, Kelley M, Gaziano JM, Brophy M, Do NV, Kim DH, Driver JA, Dumontier C, Fillmore NR. Multimorbidity and Its Impact in Older United States Veterans Newly Treated for Advanced Non-Small Cell Lung Cancer. Annals of the American Thoracic Society. 2024 Dec 16.

Dimensions for VA is a web-based tool available to VA staff that enables detailed searches of published research and research projects.

If you have VA-Intranet access, click here for more information vaww.hsrd.research.va.gov/dimensions/

VA staff not currently on the VA network can access Dimensions by registering for an account using their VA email address.    Search Dimensions for VA for this citation
* Don't have VA-internal network access or a VA email address? Try searching the free-to-the-public version of Dimensions

Search for Abstract from PubMed

---

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.