Impact of symptom clusters on quality of life outcomes in patients from japan with advanced nonsmall cell lung cancers

Hamada, Tamami; Komatsu, Hiroko; Rosenzweig, Margaret; Chohnabayashi, Naohiko; Nishimura, Naoki; Oizumi, Satoshi; Ren, Dianxu

doi:10.4103/2347-5625.196489

Cited by 21 publications

(19 citation statements)

References 40 publications

(69 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The "pain" symptom group had the greatest influence on emotional functioning, but had less influence on physical and cognitive functioning. This result is consistent with several previous studies of patients with LC, which reported that the pain cluster [15] and pain [19] had strong influences on the emotional and physical functioning scales of HRQOL. The physiological response to pain can lead to anxiety and sadness, and depression or anxiety can also lead to increased pain [40].…”

Section: Discussionsupporting

confidence: 93%

“…Among the five HRQOL functioning domains, the "lack of energy" symptom group had the greatest influence on physical functioning (explaining 59% of the variance), role functioning (explaining 86% of the variance), and social functioning (24% of the variance). This result is in line with a previous study of patients with advanced-stage NSCLC, which reported that the fatigue/anorexia cluster had the greatest impact on physical and role functioning [15]. Most of our patients (88%) had advanced-stage NSCLC and were undergoing treatment.…”

Section: Discussionsupporting

confidence: 93%

“…Peripheral neuropathy is common in patients taking taxane- and platinum-based agents, which are commonly used by patients with advanced-stage NSCLC [ 43 ]. Generally, peripheral neuropathy is associated with a decreased HRQOL in patients with NSCLC [ 44 ] and has a particularly strong impact on ambulation [ 15 ]. Peripheral neuropathy may decrease the ease of ambulation and interfere with daily activities, and this could cause a deterioration of physical and emotional functioning.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies identified lack of appetite and fatigue as co-occurring symptoms (a symptom cluster) in patients with LC [ 14 ]. In addition, symptoms related to undernourishment are associated with a lack of energy in these patients [ 15 ]. A previous qualitative study reported that dyspnea played a primary role in the onset of fatigue in patients with LC [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies of LC have examined the relationship of the single symptom of fatigue and/or pain with HRQOL [ 19 ] and the relationships of clusters of symptoms with HRQOL [ 10 , 20 ]. There is abundant evidence that patients with LC experience a symptom cluster [ 15 , 20 ]. For example, pain and fatigue commonly co-occur as a symptom cluster [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Relationships of Symptom Groups and Functioning Domains in Patients with Advanced-Stage Non-Small Cell Lung Cancer Undergoing Treatment: A Cross-Sectional Study

Lee

2020

Healthcare

View full text Add to dashboard Cite

The purpose of this study was to describe the symptoms experienced by patients with non-small cell lung cancer (NSCLC), examine whether different symptom groups significantly affected different functioning domains in these patients, and determine the effect of the “lack of energy” and “pain” symptom groups on the different functioning domains of health-related quality of life (HRQOL). From a single tertiary institution, this cross-sectional study enrolled 135 consecutive NSCLC patients who were mostly undergoing chemotherapy and were in the advanced stage (National University Hospital, Daegu, South Korea). Clinical and self-reported demographic information and data on different functioning domains (from the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30)), symptom experience (from the EORTC QLQ-LC13), and the Symptom Distress Scale (SDS) were examined. The four most common symptoms were fatigue (69%), pain (47%), dyspnea (38%), and lack of appetite (36%). The “pain” symptom group was negatively associated with physical, emotional, cognitive, and role functioning. The “lack of energy” symptom group was negatively associated with physical, role, emotional, social, and cognitive functioning. The “lack of energy” symptom group explained the most variance for physical and role functioning, and the “pain” symptom group explained the most variance for emotional functioning. Impaired concentration explained the most variance for cognitive functioning.

show abstract

Section: Discussionsupporting

confidence: 93%

Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Relationships of Symptom Groups and Functioning Domains in Patients with Advanced-Stage Non-Small Cell Lung Cancer Undergoing Treatment: A Cross-Sectional Study

Lee

2020

Healthcare

View full text Add to dashboard Cite

show abstract

Clustering on longitudinal quality‐of‐life measurements using growth mixture models for clinical prognosis: Implementation on CCTG/AGITG CO.20 trial

Zhang

Kong

et al. 2022

Cancer Medicine

View full text Add to dashboard Cite

Introduction Analyzing longitudinal cancer quality‐of‐life (QoL) measurements and their impact on clinical outcomes may improve our understanding of patient trajectories during systemic therapy. We applied an unsupervised growth mixture modeling (GMM) approach to identify unobserved subpopulations (“patient clusters”) in the CO.20 clinical trial longitudinal QoL data. Classes were then evaluated for differences in clinico‐epidemiologic characteristics and overall survival (OS). Methods and Materials In CO.20, 750 chemotherapy‐refractory metastatic colorectal cancer (CRC) patients were randomized to receive Brivanib+Cetuximab (n = 376, experimental arm) versus Cetuximab+Placebo (n = 374, standard arm) for 16 weeks. EORTC‐QLQ‐C30 QoL summary scores were calculated for each patient at seven time points, and GMM was applied to identify patient clusters (termed “classes”). Log‐rank/Kaplan–Meier and multivariable Cox regression analyses were conducted to analyze the survival performance between classes. Cox analyses were used to explore the relationship between baseline QoL, individual slope, and the quadratic terms from the GMM output with OS. Results In univariable analysis, the linear mixed effect model (LMM) identified sex and ECOG Performance Status as strongly associated with the longitudinal QoL score (p < 0.01). The patients within each treatment arm were clustered into three distinct QoL‐based classes by GMM, respectively. The three classes identified in the experimental (log‐rank p‐value = 0.00058) and in the control arms (p < 0.0001) each showed significantly different survival performance. The GMM's baseline, slope, and quadratic terms were each significantly associated with OS (p < 0.001). Conclusion GMM can be used to analyze longitudinal QoL data in cancer studies, by identifying unobserved subpopulations (patient clusters). As demonstrated by CO.20 data, these classes can have important implications, including clinical prognostication.

show abstract

Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy

Luo,

Zhang,

Mao

et al. 2024

Qual Life Res

View full text Add to dashboard Cite

Purpose To identify symptom clusters (SCs) in lung cancer patients undergoing chemotherapy and explore their impact on health-related quality of life (HRQoL). Methods Patients were invited to complete the Chinese version of the M.D. Anderson Symptom Inventory with the Lung Cancer Module and the Quality of Life Questionnaire-core 30. Network analysis was employed to identify SCs. The associations between SCs and each function of HRQoL were examined using the Pearson correlation matrix. Multiple linear regression was applied to analyze the influencing factors of each function of HRQoL. Results A total of 623 lung cancer patients who were receiving chemotherapy were recruited. The global health status of lung cancer patients was 59.71 ± 21.09, and 89.73% of patients developed symptoms. Three SCs (Somato-psychological SC, Respiratory SC, and Gastrointestinal SC) were identified, and Somato-psychological SC and Gastrointestinal SC were identified as influencing factors for HRQoL in lung cancer patients. Conclusion Most lung cancer patients who undergo chemotherapy experience a range of symptoms, which can be categorized into three SCs. The Somato-psychological SC and Gastrointestinal SC negatively impacted patients' HRQoL. Health care providers should prioritize monitoring these SCs to identify high-risk patients early and implement targeted preventive and intervention measures for each SC, aiming to alleviate symptom burden and enhance HRQoL. Supplementary Information The online version contains supplementary material available at 10.1007/s11136-024-03778-x.

show abstract

Impact of symptom clusters on quality of life outcomes in patients from japan with advanced nonsmall cell lung cancers

Cited by 21 publications

References 40 publications

Relationships of Symptom Groups and Functioning Domains in Patients with Advanced-Stage Non-Small Cell Lung Cancer Undergoing Treatment: A Cross-Sectional Study

Relationships of Symptom Groups and Functioning Domains in Patients with Advanced-Stage Non-Small Cell Lung Cancer Undergoing Treatment: A Cross-Sectional Study

Clustering on longitudinal quality‐of‐life measurements using growth mixture models for clinical prognosis: Implementation on CCTG/AGITG CO.20 trial

Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy

Contact Info

Product

Resources

About