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Dynamic Trajectory of a Patient-Reported Outcome and Its Associated Factors for Patients with Chronic Heart Failure: A Growth Mixture Model Approach

PURPOSE: This study aimed to identify subgroups of chronic heart failure (CHF) patients with distinct trajectories of quality of life (QOL) and to identify baseline characteristics associated with the trajectories. PATIENTS AND METHODS: Two-year, prospective, cohort study including 315 patients with...

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Autores principales: Tian, Jing, Ding, Fengqin, Wang, Ruoya, Han, Gangfei, Yan, Jingjing, Yuan, Na, Du, Yutao, Han, Qinghua, Zhang, Yanbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651080/
https://www.ncbi.nlm.nih.gov/pubmed/36386557
http://dx.doi.org/10.2147/RMHP.S384936
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author Tian, Jing
Ding, Fengqin
Wang, Ruoya
Han, Gangfei
Yan, Jingjing
Yuan, Na
Du, Yutao
Han, Qinghua
Zhang, Yanbo
author_facet Tian, Jing
Ding, Fengqin
Wang, Ruoya
Han, Gangfei
Yan, Jingjing
Yuan, Na
Du, Yutao
Han, Qinghua
Zhang, Yanbo
author_sort Tian, Jing
collection PubMed
description PURPOSE: This study aimed to identify subgroups of chronic heart failure (CHF) patients with distinct trajectories of quality of life (QOL) and to identify baseline characteristics associated with the trajectories. PATIENTS AND METHODS: Two-year, prospective, cohort study including 315 patients with CHF was conducted from July 2017. Information on QOL assessed by CHF-patient-reported outcomes measure (CHF-PROM) was collected at baseline, 6, 12, 18, and 24 months. Demographic and clinical variables were recorded at baseline. Growth mixture model was used to identify distinct trajectories of CHF-PROM and its physical, psychological, social, and therapeutic domains. Single factor analysis was employed to assess the factors associated with development of CHF-PROM over time. RESULTS: Two classes of overall score of CHF-PROM were identified: poorer (14.0%) and better (86.0%). Poorer class tended to be aged, have low diastolic blood pressure, have concomitant atrial fibrillation, diabetes, chronic obstructive pulmonary disease, cancers, and central nervous system diseases, and used nitrates. Three classes of physical scores were identified: unstable-poorer (5.2%), stable-poorer (29.4%) and better (65.4%). Age, NYHA grade, chronic obstructive pulmonary disease, combined with cancers and central nervous system diseases were related to the grouping. Poorer (8.6%) and better (91.4%) classes of psychological scores were identified. Poorer class tended to be female and had concomitant atrial fibrillation. Degenerate class (34.6%) and meliorate class (65.4%) of therapeutic scores were identified. Degenerate class tended to have concomitant chronic obstructive pulmonary disease and use less angiotensin converting enzyme inhibitors. CONCLUSION: We identified different classes with distinct trajectories of QOL that may help proper evaluate QOL and further improve its status for patients CHF.
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spelling pubmed-96510802022-11-15 Dynamic Trajectory of a Patient-Reported Outcome and Its Associated Factors for Patients with Chronic Heart Failure: A Growth Mixture Model Approach Tian, Jing Ding, Fengqin Wang, Ruoya Han, Gangfei Yan, Jingjing Yuan, Na Du, Yutao Han, Qinghua Zhang, Yanbo Risk Manag Healthc Policy Original Research PURPOSE: This study aimed to identify subgroups of chronic heart failure (CHF) patients with distinct trajectories of quality of life (QOL) and to identify baseline characteristics associated with the trajectories. PATIENTS AND METHODS: Two-year, prospective, cohort study including 315 patients with CHF was conducted from July 2017. Information on QOL assessed by CHF-patient-reported outcomes measure (CHF-PROM) was collected at baseline, 6, 12, 18, and 24 months. Demographic and clinical variables were recorded at baseline. Growth mixture model was used to identify distinct trajectories of CHF-PROM and its physical, psychological, social, and therapeutic domains. Single factor analysis was employed to assess the factors associated with development of CHF-PROM over time. RESULTS: Two classes of overall score of CHF-PROM were identified: poorer (14.0%) and better (86.0%). Poorer class tended to be aged, have low diastolic blood pressure, have concomitant atrial fibrillation, diabetes, chronic obstructive pulmonary disease, cancers, and central nervous system diseases, and used nitrates. Three classes of physical scores were identified: unstable-poorer (5.2%), stable-poorer (29.4%) and better (65.4%). Age, NYHA grade, chronic obstructive pulmonary disease, combined with cancers and central nervous system diseases were related to the grouping. Poorer (8.6%) and better (91.4%) classes of psychological scores were identified. Poorer class tended to be female and had concomitant atrial fibrillation. Degenerate class (34.6%) and meliorate class (65.4%) of therapeutic scores were identified. Degenerate class tended to have concomitant chronic obstructive pulmonary disease and use less angiotensin converting enzyme inhibitors. CONCLUSION: We identified different classes with distinct trajectories of QOL that may help proper evaluate QOL and further improve its status for patients CHF. Dove 2022-11-07 /pmc/articles/PMC9651080/ /pubmed/36386557 http://dx.doi.org/10.2147/RMHP.S384936 Text en © 2022 Tian et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Tian, Jing
Ding, Fengqin
Wang, Ruoya
Han, Gangfei
Yan, Jingjing
Yuan, Na
Du, Yutao
Han, Qinghua
Zhang, Yanbo
Dynamic Trajectory of a Patient-Reported Outcome and Its Associated Factors for Patients with Chronic Heart Failure: A Growth Mixture Model Approach
title Dynamic Trajectory of a Patient-Reported Outcome and Its Associated Factors for Patients with Chronic Heart Failure: A Growth Mixture Model Approach
title_full Dynamic Trajectory of a Patient-Reported Outcome and Its Associated Factors for Patients with Chronic Heart Failure: A Growth Mixture Model Approach
title_fullStr Dynamic Trajectory of a Patient-Reported Outcome and Its Associated Factors for Patients with Chronic Heart Failure: A Growth Mixture Model Approach
title_full_unstemmed Dynamic Trajectory of a Patient-Reported Outcome and Its Associated Factors for Patients with Chronic Heart Failure: A Growth Mixture Model Approach
title_short Dynamic Trajectory of a Patient-Reported Outcome and Its Associated Factors for Patients with Chronic Heart Failure: A Growth Mixture Model Approach
title_sort dynamic trajectory of a patient-reported outcome and its associated factors for patients with chronic heart failure: a growth mixture model approach
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651080/
https://www.ncbi.nlm.nih.gov/pubmed/36386557
http://dx.doi.org/10.2147/RMHP.S384936
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