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

医学 肺癌 星团(航天器) 内科学 肿瘤科 化疗 程序设计语言 计算机科学
作者
Xiaodi Ju,Jiayuan Bai,Yiwei She,Rong Zheng,Xiuzhi Xu,Wenru Wang,Jingfang Hong
出处
期刊:European Journal of Oncology Nursing [Elsevier]
卷期号:63: 102282-102282 被引量:11
标识
DOI:10.1016/j.ejon.2023.102282
摘要

Abstract

Purpose

To investigate symptom severity, symptom cluster trajectories and sentinel symptoms during chemotherapy cycle 1 in patients with lung cancer.

Methods

Patients with lung cancer were recruited to complete the MD Anderson Symptom Inventory (MDASI) and First Appearance of Symptoms Time Sheet daily during the first week of chemotherapy cycle 1. Latent class growth analysis was performed to examine symptom cluster trajectories. The Apriori algorithm combined with the time of the first appearance of symptoms after chemotherapy was used to determine the sentinel symptoms of each symptom cluster.

Results

A total of 175 lung cancer patients participated in the study. Five symptom clusters were identified: class 1 (difficulty remembering-numbness-hemoptysis-weight loss), class 2 (cough-expectoration-chest tightness-shortness of breath), class 3 (nausea-sleep disturbance-drowsiness-constipation), class 4 (pain-distress-dry mouth-sadness-vomiting), class 5 (fatigue-lack of appetite). Sentinel symptoms were found to be cough (class 2) and fatigue (class 5), while none were found for other symptom clusters.

Conclusion

The trajectories of five symptom clusters were observed during the first week of chemotherapy cycle 1 and the sentinel symptoms of each cluster were explored. The study has important significance for the effective management of symptoms and the quality of nursing care for patients. At the same time, alleviating sentinel symptoms may reduce the severity of the whole symptom cluster, reducing medical resources and improving quality of life for lung cancer patients.
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