Symptom cluster trajectories and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer

Ju, Xiaodi; Bai, Jiayuan; She, Yiwei; Zheng, Rong; Xu, Xin­guang; Wang, Wenru; Hong, Jingfang

doi:10.1016/j.ejon.2023.102282

Cited by 12 publications

(6 citation statements)

References 43 publications

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“…Pain, fatigue, sleep disturbance, and drowsiness constituted the somatic SC, and fatigue was the sentinel symptom of this SC, which was consistent with the findings of Ma and Ju [ 23 , 27 ]. Fatigue, pain, and sleep disturbances are interconnected physiological mechanisms that mutually influence each other [ 42 ].…”

Section: Discussionsupporting

confidence: 88%

“…The Apriori algorithm is the most widely used algorithm for association analysis in data mining, as it enables the exploration of essential rules and potential connections among variables. Its effectiveness in identifying sentinel symptoms within SCs has been demonstrated [ 20 , 23 , 27 ]. Support and confidence are standard metrics in the Apriori algorithm for quantifying the association between symptoms.…”

Section: Methodsmentioning

confidence: 99%

“…However, the current research on sentinel symptoms remains insufficient. While a limited number of studies have identified sentinel symptoms, they often overlook the chronological order of symptom appearance or rely on a single method to identify SCs, thus neglecting the relationships between symptoms [ 19 , 21 , 23 ]. Consequently, a consensus on sentinel symptoms among lung cancer patients undergoing chemotherapy has yet to be established.…”

Section: Introductionmentioning

confidence: 99%

“…However, few studies have employed this method to examine lung cancer patients undergoing chemotherapy. The Apriori algorithm is the most widely used algorithm for association analysis in data mining, and it can be used to explore potential relationships between symptoms [ 23 , 27 ]. Research on sentinel symptoms is a growing field, and there is an urgent need to identify sentinel symptoms to effectively alleviate symptom burdens.…”

Section: Introductionmentioning

confidence: 99%

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Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer

Luo,

Mao,

Zhang

et al. 2024

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Purpose To identify symptom clusters (SCs) in patients with lung cancer who are undergoing initial chemotherapy and to identify the sentinel symptoms of each SC. Methods A convenience sampling method was used to recruit patients with lung cancer who were undergoing their initial chemotherapy treatment. Patient information was collected using the General Demographic Questionnaire, MD Anderson Symptom Inventory (including the lung cancer module) and a schedule documenting the initial occurrence of symptoms. The Walktrap algorithm was employed to identify SCs, while sentinel symptoms within each SC were identified using the Apriori algorithm in conjunction with the initial occurrence time of symptoms. Results A total of 169 patients with lung cancer participated in this study, and four SCs were identified: the psychological SC (difficulty remembering, sadness, dry mouth, numbness or tingling, and distress), somatic SC (pain, fatigue, sleep disturbance, and drowsiness), respiratory SC (coughing, expectoration, chest tightness, and shortness of breath), and digestive SC (nausea, poor appetite, constipation, vomiting, and weight loss). Sadness, fatigue, and coughing were identified as sentinel symptoms of the psychological, somatic, and respiratory SCs, respectively. However, no sentinel symptom was identified for the digestive SC. Conclusion Patients with lung cancer who are undergoing chemotherapy encounter a spectrum of symptoms, often presenting as SCs. The sentinel symptom of each SC emerges earlier than the other symptoms and is characterized by its sensitivity, significance, and driving force. It serves as a vital indicator of the SC and assumes a sentry role. Targeting sentinel symptoms might be a promising strategy for determining the optimal timing of interventions and for mitigating or decelerating the progression of the other symptoms within the SC.

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Section: Discussionsupporting

confidence: 88%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer

Luo,

Mao,

Zhang

et al. 2024

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“…There are few studies on symptom clusters of gastric cancer patients. In our study, two of the three symptom clusters, the emotional-sickness symptom cluster, and the energy de ciency symptom cluster were the same as similar clusters in studies of patients with breast cancer and lung cancer patients receiving chemotherapy [40,41] .…”

Section: Discussionsupporting

confidence: 74%

Symptom Clusters, Fear of Disease Progression and Quality of Life in Gastric Cancer Patients: A Cross-Sectional Study

Yang,

Deng,

et al. 2024

Preprint

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Purpose Although gastric cancer is one of the most common tumors worldwide, little is known about the symptom clusters, fear of disease progression, and quality of life in this population. The objectives were to identify the symptom clusters, fear of disease progression, and quality of life in gastric cancer patients, to explore the correlation between the symptom clusters, fear of disease progression, and quality of life, and to explore the effects of quality of life. Methods Gastric cancer patients were recruited. Data were collected using the self-designed General Information Evaluation Form, the M.D. Anderson Symptom Inventory-Gastrointestinal Cancer Module (MDASI-GI), the Fear of Progression Questionnaire-Short Form, and the Functional Assessment of Cancer Therapy-General (FACT-G). Data were recorded and analyzed using EpiData 3.1 and SPSS 25.0 respectively. The symptom clusters were extracted through the exploratory factor analysis. Univariate analysis was performed by t-test or one-way analysis of variance to demonstrate differences between or among quality of life (QoL) based on patients’ characteristics. Correlation among symptom clusters, fear of disease progression, and quality of life of gastric cancer patients were identified using Pearson correlation analysis. The affecting factors of QoL were identified using multiple linear regression analysis. Results A total of 203 subjects from one medical center were enrolled. Three factors were identified in this exploratory factor analysis based on symptom prevalence and named as emotional-sickness symptom cluster, energy deficiency symptom cluster, and digestive tract symptom cluster. The total score of fear of disease progression in gastric cancer patients was 37.80 ± 6.66 and the mean quality of life score in gastric cancer patients was 52.34 ± 10.61. One-way ANOVA showed that quality of life was affected by gender, age, marital status, first diagnosis, presence of complications, average monthly household income, cancer stages, and physical status (all p < 0.05). The total score of symptom clusters of gastric cancer patients was significantly correlated with both fear of disease progression and quality of life (p < 0.01). Fear of disease progression correlated with quality of life (p < 0.05). Multiple linear regression analysis showed that patients with high physical status scores and higher severity of symptom clusters had lower quality of life (R2 = 37.5%)。 Conclusion Three symptom clusters were identified in gastric cancer patients in mainland China. Fear of disease progression in gastric cancer patients was at a medium-high level, and the quality of life was at a medium level. The high incidence of symptoms in patients with gastric cancer was fatigue, pain, and worry. Clinical staff can take targeted measures to intervene and improve the symptom experiences in gastric cancer patients. Demographic factors, such as gender, age, marital status, first diagnosis, presence of complications, average monthly household income, cancer stage, and physical state, affect the quality of life in gastric cancer patients. Symptom clusters and fear of disease progression affect the quality of life. However, physical state and symptom clusters are important factors affecting quality of life. Based on our findings, clinical interventions are expected to improve the quality of life of gastric cancer patients.

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Predictors of sleep quality components in patients undergoing transarterial chemoembolisation: a cross-sectional study

Park,

Kim,

Ryu

2024

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Symptom cluster trajectories and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer

Cited by 12 publications

References 43 publications

Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer

Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer

Symptom Clusters, Fear of Disease Progression and Quality of Life in Gastric Cancer Patients: A Cross-Sectional Study

Predictors of sleep quality components in patients undergoing transarterial chemoembolisation: a cross-sectional study

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