Yuanyuan Luo , Jiahui Luo , Qing Su , Zhihui Yang , Jingxia Miao , Lili Zhang
{"title":"探索肺癌患者的中心症状和桥接症状:网络分析","authors":"Yuanyuan Luo , Jiahui Luo , Qing Su , Zhihui Yang , Jingxia Miao , Lili Zhang","doi":"10.1016/j.soncn.2024.151651","DOIUrl":null,"url":null,"abstract":"<div><h3>Objectives</h3><p>This study aimed to identify symptom clusters in lung cancer patients undergoing chemotherapy and the central and bridge symptoms within each symptom cluster.</p></div><div><h3>Methods</h3><p>In this cross-sectional study, 1,255 patients with lung cancer were recruited through convenience sampling at Nanfang Hospital. Patient symptom burden was assessed using the M.D. Anderson Symptom Inventory (MDASI) and the Lung Cancer module of the MDASI (MDASI-LC). Symptom clusters were identified using the Walktrap algorithm, and central and bridge symptoms in the symptom clusters were identified by network analysis.</p></div><div><h3>Results</h3><p>The patients included 818 (65.18%) males and 437 (34.82%) females with a mean age of 56.56 ± 11.78 years. Four symptom clusters were identified: fatigue, gastrointestinal, psychoneurological and respiratory. Their central symptoms were fatigue, vomiting, distress and hemoptysis, respectively, and their bridge symptoms were pain, vomiting, dry mouth and shortness of breath.</p></div><div><h3>Conclusions</h3><p>Lung cancer symptoms show certain strong correlations with each other, resulting in symptom clusters. Central symptoms may influence other symptoms within a symptom cluster, and bridge symptoms might impact the density of the symptom network. This study identified central and bridge symptoms in lung cancer patients undergoing chemotherapy. Targeting these symptoms with interventions for symptom clusters could make symptom management more precise and effective.</p></div><div><h3>Implications for Nursing Practice</h3><p>In clinical settings, the burden of symptom clusters may be reduced by intervening against the central symptoms of these symptom clusters. Alternatively, if the objective is to diminish the connections between different symptom clusters and holistically alleviate the overall burden, interventions focused on bridge symptoms may be employed.</p></div>","PeriodicalId":54253,"journal":{"name":"Seminars in Oncology Nursing","volume":"40 3","pages":"Article 151651"},"PeriodicalIF":2.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0749208124000998/pdfft?md5=0f104d5bc2b050734d71125a26f15062&pid=1-s2.0-S0749208124000998-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Exploring Central and Bridge Symptoms in Patients with Lung Cancer: A Network Analysis\",\"authors\":\"Yuanyuan Luo , Jiahui Luo , Qing Su , Zhihui Yang , Jingxia Miao , Lili Zhang\",\"doi\":\"10.1016/j.soncn.2024.151651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objectives</h3><p>This study aimed to identify symptom clusters in lung cancer patients undergoing chemotherapy and the central and bridge symptoms within each symptom cluster.</p></div><div><h3>Methods</h3><p>In this cross-sectional study, 1,255 patients with lung cancer were recruited through convenience sampling at Nanfang Hospital. Patient symptom burden was assessed using the M.D. Anderson Symptom Inventory (MDASI) and the Lung Cancer module of the MDASI (MDASI-LC). Symptom clusters were identified using the Walktrap algorithm, and central and bridge symptoms in the symptom clusters were identified by network analysis.</p></div><div><h3>Results</h3><p>The patients included 818 (65.18%) males and 437 (34.82%) females with a mean age of 56.56 ± 11.78 years. Four symptom clusters were identified: fatigue, gastrointestinal, psychoneurological and respiratory. Their central symptoms were fatigue, vomiting, distress and hemoptysis, respectively, and their bridge symptoms were pain, vomiting, dry mouth and shortness of breath.</p></div><div><h3>Conclusions</h3><p>Lung cancer symptoms show certain strong correlations with each other, resulting in symptom clusters. Central symptoms may influence other symptoms within a symptom cluster, and bridge symptoms might impact the density of the symptom network. This study identified central and bridge symptoms in lung cancer patients undergoing chemotherapy. Targeting these symptoms with interventions for symptom clusters could make symptom management more precise and effective.</p></div><div><h3>Implications for Nursing Practice</h3><p>In clinical settings, the burden of symptom clusters may be reduced by intervening against the central symptoms of these symptom clusters. Alternatively, if the objective is to diminish the connections between different symptom clusters and holistically alleviate the overall burden, interventions focused on bridge symptoms may be employed.</p></div>\",\"PeriodicalId\":54253,\"journal\":{\"name\":\"Seminars in Oncology Nursing\",\"volume\":\"40 3\",\"pages\":\"Article 151651\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S0749208124000998/pdfft?md5=0f104d5bc2b050734d71125a26f15062&pid=1-s2.0-S0749208124000998-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seminars in Oncology Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0749208124000998\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Oncology Nursing","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0749208124000998","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
Exploring Central and Bridge Symptoms in Patients with Lung Cancer: A Network Analysis
Objectives
This study aimed to identify symptom clusters in lung cancer patients undergoing chemotherapy and the central and bridge symptoms within each symptom cluster.
Methods
In this cross-sectional study, 1,255 patients with lung cancer were recruited through convenience sampling at Nanfang Hospital. Patient symptom burden was assessed using the M.D. Anderson Symptom Inventory (MDASI) and the Lung Cancer module of the MDASI (MDASI-LC). Symptom clusters were identified using the Walktrap algorithm, and central and bridge symptoms in the symptom clusters were identified by network analysis.
Results
The patients included 818 (65.18%) males and 437 (34.82%) females with a mean age of 56.56 ± 11.78 years. Four symptom clusters were identified: fatigue, gastrointestinal, psychoneurological and respiratory. Their central symptoms were fatigue, vomiting, distress and hemoptysis, respectively, and their bridge symptoms were pain, vomiting, dry mouth and shortness of breath.
Conclusions
Lung cancer symptoms show certain strong correlations with each other, resulting in symptom clusters. Central symptoms may influence other symptoms within a symptom cluster, and bridge symptoms might impact the density of the symptom network. This study identified central and bridge symptoms in lung cancer patients undergoing chemotherapy. Targeting these symptoms with interventions for symptom clusters could make symptom management more precise and effective.
Implications for Nursing Practice
In clinical settings, the burden of symptom clusters may be reduced by intervening against the central symptoms of these symptom clusters. Alternatively, if the objective is to diminish the connections between different symptom clusters and holistically alleviate the overall burden, interventions focused on bridge symptoms may be employed.
期刊介绍:
Seminars in Oncology Nursing is a unique international journal published six times a year. Each issue offers a multi-faceted overview of a single cancer topic from a selection of expert review articles and disseminates oncology nursing research relevant to patient care, nursing education, management, and policy development.