Symptom clusters and characteristics of cervical cancer patients receiving concurrent chemoradiotherapy: A cross-sectional study

被引:5
作者
Tie, Hao [1 ,2 ]
Shi, Limei [3 ]
Wang, Li [4 ]
Hao, Xinyu [2 ]
Fang, Hongyan [1 ]
Li, Lirong [1 ]
机构
[1] Guangxi Acad Med Sci, Peoples Hosp Guangxi Zhuang Autonomous Reg, Oncol Ctr Radiotherapy, Ward 1, Nanning, Peoples R China
[2] Guangxi Univ Chinese Med, Sch Nursing, Nanning, Peoples R China
[3] Guangxi Acad Med Sci, Peoples Hosp Guangxi Zhuang Autonomous Reg, Oncol Ctr Radiotherapy, Ward 2, Nanning, Peoples R China
[4] Zhengzhou Univ, Sch Nursing & Hlth, Zhengzhou, Peoples R China
关键词
Cervical cancer; Concurrent chemotherapy; Symptom clusters; Influencing factors; Latent profile analysis; QUALITY-OF-LIFE; CHINESE VERSION; FATIGUE; BREAST; INDEX;
D O I
10.1016/j.heliyon.2023.e22407
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Cervical cancer patients have a high symptom burden during concurrent chemo-radiotherapy (CCRT) and urgently need precise symptom management strategies. Nonetheless, the symptom profile and influencing factors are unclear.Methods: A total of 234 patients with cervical cancer who underwent CCRT in a tertiary care hospital clinical oncology center in Guangxi Zhuang Autonomous Region from March 2022 to March 2023 were included in the study. The general information questionnaire, M.D. Anderson symptom inventory, Fatigue Scale-14, Pittsburgh Sleep Quality Index, and grip strength test were used for the investigation. Symptom clusters were extracted by exploratory factor analysis, and latent profile analysis was performed using Mplus 8.0 software. Multinomial logistic regression was used to explore the factors influencing the potential categories of symptom clusters.Results: Exploratory factor analysis extracted four symptom clusters: a fatigue-related symptom cluster, a gastrointestinal-related symptom cluster, a mood-related symptom cluster, and a physical-related symptom cluster, of which the fatigue-related symptom cluster was more severe and was divided into three potential categories: low fatigue-good muscle fitness type (25.63%), general fatigue-moderate muscle fitness type (68.37%) and high fatigue-low muscle fitness type (6%). Multinomial logistic regression analysis showed that hemoglobin levels, tumor stage, absence of complications, and unemployment were factors influencing the fatigue-related symptom cluster in patients undergoing CCRT for cervical cancer.Conclusions: Cervical cancer patients experience multiple symptom clusters during CCRT. Different characteristics appeared in different clusters. Among them, fatigue-related symptom clusters were more severe and heterogeneous. In clinical practice, we should pay attention to and use high symptom feature predictors, focusing on the core symptoms that play a dominant role, achieving early identification and management, and reducing patients' symptom burden.
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页数:10
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