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Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors

PURPOSE: We aimed to identify health-related quality of life (HRQOL) latent classes among primary central nervous system tumor (PCNST) long-term survivors (LTS) and to evaluate differences between classes in survivor sociodemographic characteristics, clinical characteristics, and symptoms to guide  ...

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Autores principales: Stockdill, Macy L., Mendoza, Tito, Armstrong, Terri S., Miaskowski, Christine, Cooper, Bruce, Vera, Elizabeth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638191/
https://www.ncbi.nlm.nih.gov/pubmed/37902916
http://dx.doi.org/10.1007/s11060-023-04474-5
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author Stockdill, Macy L.
Mendoza, Tito
Armstrong, Terri S.
Miaskowski, Christine
Cooper, Bruce
Vera, Elizabeth
author_facet Stockdill, Macy L.
Mendoza, Tito
Armstrong, Terri S.
Miaskowski, Christine
Cooper, Bruce
Vera, Elizabeth
author_sort Stockdill, Macy L.
collection PubMed
description PURPOSE: We aimed to identify health-related quality of life (HRQOL) latent classes among primary central nervous system tumor (PCNST) long-term survivors (LTS) and to evaluate differences between classes in survivor sociodemographic characteristics, clinical characteristics, and symptoms to guide  the development of survivorship care programs tailored to unique class needs. METHODS: Data from 298 PCNST LTS reporting HRQOL on the EQ-5D-3L were analyzed using latent profile analysis. Correlations and independent group t-tests were performed to identify differences between identified HRQOL classes by sociodemographic, clinical characteristics, and symptoms. RESULTS: Sample mean age was 48 years, 54% were male, 82% Caucasian, 56% employed, 60% had a high-grade glioma, and 52% had a KPS ≥ 90. Two HRQOL classes, good (61%) and poor (39%), were identified. The good HRQOL class reported no problems with self-care and few problems with mobility or usual activities. Thirty-eight percent reported anxiety and depression and 21% pain. Over 94% of the poor HRQOL class had at least moderate problems with mobility and usual activities, and over 50% had pain, self-care issues, anxiety, and depression. Older age (φ = 0.21), unemployment (φ = 0.30), spine tumors (φ = 0.18), active treatment (φ = 0.20), tumor recurrence (φ = 0.28), and poorer KPS scores (φ = 0.61) were associated with membership in the poor HRQOL class. CONCLUSIONS: In the poor PCNST LTS HRQOL class, an overwhelming majority faced significant physical challenges, and the good HRQOL class experienced mood-related disturbance but limited physical challenges. These HRQOL profiles can be used to guide survivorship programs and tailored interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11060-023-04474-5.
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spelling pubmed-106381912023-11-14 Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors Stockdill, Macy L. Mendoza, Tito Armstrong, Terri S. Miaskowski, Christine Cooper, Bruce Vera, Elizabeth J Neurooncol Research PURPOSE: We aimed to identify health-related quality of life (HRQOL) latent classes among primary central nervous system tumor (PCNST) long-term survivors (LTS) and to evaluate differences between classes in survivor sociodemographic characteristics, clinical characteristics, and symptoms to guide  the development of survivorship care programs tailored to unique class needs. METHODS: Data from 298 PCNST LTS reporting HRQOL on the EQ-5D-3L were analyzed using latent profile analysis. Correlations and independent group t-tests were performed to identify differences between identified HRQOL classes by sociodemographic, clinical characteristics, and symptoms. RESULTS: Sample mean age was 48 years, 54% were male, 82% Caucasian, 56% employed, 60% had a high-grade glioma, and 52% had a KPS ≥ 90. Two HRQOL classes, good (61%) and poor (39%), were identified. The good HRQOL class reported no problems with self-care and few problems with mobility or usual activities. Thirty-eight percent reported anxiety and depression and 21% pain. Over 94% of the poor HRQOL class had at least moderate problems with mobility and usual activities, and over 50% had pain, self-care issues, anxiety, and depression. Older age (φ = 0.21), unemployment (φ = 0.30), spine tumors (φ = 0.18), active treatment (φ = 0.20), tumor recurrence (φ = 0.28), and poorer KPS scores (φ = 0.61) were associated with membership in the poor HRQOL class. CONCLUSIONS: In the poor PCNST LTS HRQOL class, an overwhelming majority faced significant physical challenges, and the good HRQOL class experienced mood-related disturbance but limited physical challenges. These HRQOL profiles can be used to guide survivorship programs and tailored interventions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11060-023-04474-5. Springer US 2023-10-30 2023 /pmc/articles/PMC10638191/ /pubmed/37902916 http://dx.doi.org/10.1007/s11060-023-04474-5 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Stockdill, Macy L.
Mendoza, Tito
Armstrong, Terri S.
Miaskowski, Christine
Cooper, Bruce
Vera, Elizabeth
Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors
title Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors
title_full Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors
title_fullStr Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors
title_full_unstemmed Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors
title_short Identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors
title_sort identification of health-related quality of life profiles among long-term survivors of primary central nervous system tumors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638191/
https://www.ncbi.nlm.nih.gov/pubmed/37902916
http://dx.doi.org/10.1007/s11060-023-04474-5
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