{"title":"结直肠癌患者术后3个月的症状群轨迹及其预测因素：一项纵向研究","authors":"Yue Li, Wenwen Gan, Qin Mao, Hongying Wu, Ting Cao, Haiyan Wu, Xiaorong Mao","doi":"10.1002/cam4.71025","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Aims</h3>\n \n <p>To examine the changing trajectories of symptom clusters within 3 months following surgery in patients with colorectal cancer (CRC) and identify their predictive factors.</p>\n </section>\n \n <section>\n \n <h3> Design</h3>\n \n <p>A prospective longitudinal observational study.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Convenience sampling was used to recruit inpatients with CRC who were scheduled for surgical treatment at the Sichuan Provincial People's Hospital between October 2022 and September 2023. The Chinese version of the MD Anderson Symptom Inventory Gastrointestinal Cancer Module was utilized. The prevalence and severity of patients' symptoms were assessed at 7 days (T1), 6 weeks (T2), and 3 months (T3). Before the operation, a total of 240 patients with CRC were recruited. There were 203, 164, and 139 patients participating in T1, T2, and T3, respectively. Exploratory factor analysis identified symptom clusters. Latent class growth modeling determined the developmental trajectories of symptom clusters, and binomial logistic regression analyzed predictors of trajectory classification.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Two clinical subgroups were identified: a “high symptom—decreases and then increases” (17.2%) and a “low symptoms—continuous decline” (82.8%). The latter exhibited significantly lower and progressively declining symptom severity compared to the former. Predictive factors for the “high symptom—decreases and then increases” subgroup included multimorbidity (≥ 2 chronic conditions), chronic lung disease, preoperative frailty, severe anxiety/depression, open surgery, and postoperative chemotherapy.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Targeted management of the mood-sleep disorder cluster (T1) and the activity intolerance cluster (T2/T3) may significantly improve patients' quality of life. The “high symptom—decreases then increases” subgroup warrants prioritized clinical attention, as early intervention for its predictive factors (e.g., frailty, anxiety, and depression) could enhance postoperative outcomes. Integrating these factors into routine preoperative assessments is recommended.</p>\n </section>\n </div>","PeriodicalId":139,"journal":{"name":"Cancer Medicine","volume":"14 13","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.71025","citationCount":"0","resultStr":"{\"title\":\"Trajectories of Symptom Clusters and Their Predictive Factors in Patients With Colorectal Cancer 3 Months After Surgery: A Longitudinal Study\",\"authors\":\"Yue Li, Wenwen Gan, Qin Mao, Hongying Wu, Ting Cao, Haiyan Wu, Xiaorong Mao\",\"doi\":\"10.1002/cam4.71025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aims</h3>\\n \\n <p>To examine the changing trajectories of symptom clusters within 3 months following surgery in patients with colorectal cancer (CRC) and identify their predictive factors.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Design</h3>\\n \\n <p>A prospective longitudinal observational study.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Convenience sampling was used to recruit inpatients with CRC who were scheduled for surgical treatment at the Sichuan Provincial People's Hospital between October 2022 and September 2023. The Chinese version of the MD Anderson Symptom Inventory Gastrointestinal Cancer Module was utilized. The prevalence and severity of patients' symptoms were assessed at 7 days (T1), 6 weeks (T2), and 3 months (T3). Before the operation, a total of 240 patients with CRC were recruited. There were 203, 164, and 139 patients participating in T1, T2, and T3, respectively. Exploratory factor analysis identified symptom clusters. Latent class growth modeling determined the developmental trajectories of symptom clusters, and binomial logistic regression analyzed predictors of trajectory classification.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Two clinical subgroups were identified: a “high symptom—decreases and then increases” (17.2%) and a “low symptoms—continuous decline” (82.8%). The latter exhibited significantly lower and progressively declining symptom severity compared to the former. Predictive factors for the “high symptom—decreases and then increases” subgroup included multimorbidity (≥ 2 chronic conditions), chronic lung disease, preoperative frailty, severe anxiety/depression, open surgery, and postoperative chemotherapy.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>Targeted management of the mood-sleep disorder cluster (T1) and the activity intolerance cluster (T2/T3) may significantly improve patients' quality of life. The “high symptom—decreases then increases” subgroup warrants prioritized clinical attention, as early intervention for its predictive factors (e.g., frailty, anxiety, and depression) could enhance postoperative outcomes. Integrating these factors into routine preoperative assessments is recommended.</p>\\n </section>\\n </div>\",\"PeriodicalId\":139,\"journal\":{\"name\":\"Cancer Medicine\",\"volume\":\"14 13\",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cam4.71025\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cancer Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cam4.71025\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancer Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cam4.71025","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
Trajectories of Symptom Clusters and Their Predictive Factors in Patients With Colorectal Cancer 3 Months After Surgery: A Longitudinal Study
Aims
To examine the changing trajectories of symptom clusters within 3 months following surgery in patients with colorectal cancer (CRC) and identify their predictive factors.
Design
A prospective longitudinal observational study.
Methods
Convenience sampling was used to recruit inpatients with CRC who were scheduled for surgical treatment at the Sichuan Provincial People's Hospital between October 2022 and September 2023. The Chinese version of the MD Anderson Symptom Inventory Gastrointestinal Cancer Module was utilized. The prevalence and severity of patients' symptoms were assessed at 7 days (T1), 6 weeks (T2), and 3 months (T3). Before the operation, a total of 240 patients with CRC were recruited. There were 203, 164, and 139 patients participating in T1, T2, and T3, respectively. Exploratory factor analysis identified symptom clusters. Latent class growth modeling determined the developmental trajectories of symptom clusters, and binomial logistic regression analyzed predictors of trajectory classification.
Results
Two clinical subgroups were identified: a “high symptom—decreases and then increases” (17.2%) and a “low symptoms—continuous decline” (82.8%). The latter exhibited significantly lower and progressively declining symptom severity compared to the former. Predictive factors for the “high symptom—decreases and then increases” subgroup included multimorbidity (≥ 2 chronic conditions), chronic lung disease, preoperative frailty, severe anxiety/depression, open surgery, and postoperative chemotherapy.
Conclusions
Targeted management of the mood-sleep disorder cluster (T1) and the activity intolerance cluster (T2/T3) may significantly improve patients' quality of life. The “high symptom—decreases then increases” subgroup warrants prioritized clinical attention, as early intervention for its predictive factors (e.g., frailty, anxiety, and depression) could enhance postoperative outcomes. Integrating these factors into routine preoperative assessments is recommended.
期刊介绍：
Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas:
Clinical Cancer Research
Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations
Cancer Biology:
Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery.
Cancer Prevention:
Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach.
Bioinformatics:
Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers.
Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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