广西医学

目的探讨射波刀治疗后肺癌患者的经济毒性现状及其影响因素。方法选取220例射波刀治疗后肺癌患者作为研究对象，采用一般资料调查表、患者报告结局的经济毒性综合评分量表（COST⁃PROM）、社会支持评定量表（SSRS）、恐惧疾病进展简化量表（FOP⁃Q⁃SF）、癌症治疗功能评价量表（FACT⁃G）对其进行调查。采用多重线性回归模型分析射波刀治疗后肺癌患者经济毒性的影响因素。结果 220例射波刀治疗后肺癌患者的COST⁃PROM总分为（17.38±4.28）分，90.9%的患者发生经济毒性，84.1%的患者存在轻中度经济毒性。不同生育情况、文化程度、婚姻状况、工作状况、家庭人均月收入、对治疗费用了解程度、病程及病理类型的射波刀治疗后肺癌患者的COST⁃PROM总分比较，差异有统计学意义（P<0.05）。射波刀治疗后肺癌患者的COST⁃PROM总分与SSRS总分、FACT⁃G总分呈正相关，与FOP⁃Q⁃SF总分呈负相关（P<0.05）。多重线性回归分析结果显示，工作状况、家庭人均月收入、FOP⁃Q⁃SF总分、SSRS总分是射波刀治疗后肺癌患者经济毒性的影响因素（P<0.05）。结论射波刀治疗后肺癌患者普遍存在经济毒性并多处于轻中度水平，且受工作状况、家庭人均月收入、社会支持度及恐惧疾病进展等因素影响。

Objective To investigate current status of economic toxicity in patients with pulmonary carcinoma after CyberKnife therapy and its influencing factors. Methods A total of 220 patients with pulmonary carcinoma after CyberKnife therapy were selected as the research subjects. General data inventory, Comprehensive Scores for Financial Toxicity Based on the Patient⁃Reported Outcome Measure (COST⁃PROM), Social Support Rating Scale (SSRS), Fear of Progression Questionnaire⁃Short Form (FOP⁃Q⁃SF), and Functional Assessment of Cancer Therapy⁃General (FACT⁃G) were employed to investigate. Multiple linear regression model was adopted to analyze the influencing factors for economic toxicity of patients with pulmonary carcinoma after CyberKnife therapy. Results The total score of COST⁃PROM of 220 patients with pulmonary carcinoma after CyberKnife therapy was 17.38±4.28, and 90.9% of the patients had economic toxicity, as well as 84.1% of the patients were in mild to moderate economic toxicity. There were statistically significant differences in the total score of COST⁃PROM of pulmonary carcinoma patients with different fertility status, educational level, marital status, working status, family per capita monthly income, knowledge of treatment cost, course of disease and pathological types after CyberKnife therapy (P<0.05). After CyberKnife therapy in patients with pulmonary carcinoma, the total score of COST⁃PROM positively correlated with the total scores of SSRS and FACT⁃G, and negatively correlated with the total score of FOP⁃Q⁃SF (P<0.05). The results of multiple linear regression analysis revealed that working status, family per capita monthly income, total score of FOP⁃Q⁃SF and total score of SSRS were the influencing factors for economic toxicity of patients with pulmonary carcinoma after CyberKnife therapy (P<0.05). Conclusion The economic toxicity of patients with pulmonary carcinoma after CyberKnife therapy is ubiquitous and generally mild to moderate, and is affected by factors such as working status, family per capita monthly income, social support and fear of disease progression.