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Functional Trajectories and Resilience Among Adults With Advanced Lung Cancer.
Presley, Carolyn J; Arrato, Nicole A; Shields, Peter G; Carbone, David P; Wong, Melisa L; Benedict, Jason; Reisinger, Sarah A; Han, Ling; Gill, Thomas M; Allore, Heather; Andersen, Barbara L; Janse, Sarah.
Afiliação
  • Presley CJ; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
  • Arrato NA; Department of Psychology, The Ohio State University, Columbus, Ohio.
  • Shields PG; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
  • Carbone DP; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
  • Wong ML; Division of Hematology/Oncology, Department of Medicine, University of California, San Francisco, San Francisco, California.
  • Benedict J; Division of Geriatrics, Department of Medicine, University of California, San Francisco, San Francisco, California.
  • Reisinger SA; Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
  • Han L; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio.
  • Gill TM; Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio.
  • Allore H; Section of Geriatric Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
  • Andersen BL; Section of Geriatric Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut.
  • Janse S; Department of Psychology, The Ohio State University, Columbus, Ohio.
JTO Clin Res Rep ; 3(6): 100334, 2022 Jun.
Article em En | MEDLINE | ID: mdl-35719868
ABSTRACT

Introduction:

To evaluate whether and the degree to which patients with advanced NSCLC (aNSCLC) receiving lung cancer treatments will experience functional disability or have resilience and to identify characteristics associated with functional disability.

Methods:

We evaluated longitudinal data of patients with aNSCLC receiving treatment in the Beating Lung Cancer in Ohio prospective cohort study. Disability versus resilience in functional status (usual activities, mobility, and self-care) was measured monthly for 8 months using the EuroQol-5D-5L. Data captured included baseline demographics (Eastern Cooperative Oncology Group performance status), comorbidities, cancer and depressive symptoms (Patient Health Questionnaire-9), anxiety (Generalized Anxiety Disorder-7 scale), and cancer stress (impact of events). Group-based latent class trajectory modeling was used to determine clinically distinct functional disability trajectories jointly with attrition probability (death or withdrawal) in the study period.

Results:

Among 207 participants, the mean age was 63.5 years (range 34-92 y), 58.9% were male, 6.8% were African American or Black, 73.3% were former smokers, and 35% resided in rural areas. At baseline, participants had adenocarcinoma histological subtype (74.9%), 40.3% had brain metastases, and 46.1% had bone metastases. Participants received chemotherapy plus immunotherapy (46.9%), immunotherapy single agent (21.7%), targeted treatments (18.8%), or no treatment (12.6%). Three distinct functional trajectory groups were identified, as follows none/mild (n = 79, 38.2%), moderate (n = 99, 47.8%), and severe disability (n = 29, 14.0%). Characteristics associated with severe disability included baseline Eastern Cooperative Oncology Group performance status greater than 1, worse dyspnea and pain, and higher Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 scale scores. At month 8, 95 participants (45.9%) displayed resilience, 11 (5.3%) experienced functional decline, and 69 (33.3%) were deceased.

Conclusions:

We identified three distinct functional trajectories among patients with aNSCLC. Risk stratification tools and targeted interventions designed to target these three groups are needed to improve functional resilience and prevent disability.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JTO Clin Res Rep Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: JTO Clin Res Rep Ano de publicação: 2022 Tipo de documento: Article