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接受化疗的肺癌患者的不同亚组:潜在转变分析

Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis.

作者信息

Li Nannan, Hou Lili, Li Shu

机构信息

School of Nursing, Shanghai Jiao Tong University, Shanghai, China.

Department of Nursing, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

出版信息

Front Oncol. 2020 Oct 14;10:522407. doi: 10.3389/fonc.2020.522407. eCollection 2020.

Abstract

OBJECTIVES

To identify subgroups of patients with lung cancer receiving chemotherapy based on the severity dimension of symptom experience, and to examine changes in membership between these subgroups over time.

METHODS

Patients who were scheduled to receive chemotherapy completed the Chinese version of the MD Anderson Symptom Inventory and the revised lung cancer module with a total of 19 symptom items. Data were collected at three time points: two weeks before chemotherapy (T1), after chemotherapy cycle 1 (T2), and after chemotherapy cycle 3 or above (T3). The latent profile analysis and latent transition analysis were used to identify underlying subgroups and describe changes in subgroup membership over time.

RESULTS

From the total sample ( = 195), 160 patients completed the symptom assessment at T1, T2, and T3. Two distinct latent symptom profiles of patients could be identified at T1, T2, and T3, which were classified as "Mild" and "Moderate-Severe" profiles. From T1 to T2 and T3, members in the Mild profile were more likely to move to the Moderate-Severe profile. Chemotherapy protocols, prior surgery treatment, and level of education can predict the transitions.

CONCLUSION

Results provide a better understanding of the patient's different symptom experiences and characteristics. These could help clinicians to anticipate symptom patterns and develop interventions in lung cancer patients who were scheduled to receive chemotherapy for the first time.

摘要

目的

根据症状体验的严重程度维度,识别接受化疗的肺癌患者亚组,并研究这些亚组之间成员随时间的变化情况。

方法

计划接受化疗的患者完成中文版的MD安德森症状问卷以及修订后的肺癌模块,共19个症状条目。在三个时间点收集数据:化疗前两周(T1)、化疗第1周期后(T2)以及化疗第3周期及以上后(T3)。采用潜在类别分析和潜在转换分析来识别潜在亚组,并描述亚组成员随时间的变化情况。

结果

在总共195例样本中,160例患者在T1、T2和T3完成了症状评估。在T1、T2和T3时可识别出两种不同的潜在症状类别,分别归类为“轻度”和“中度-重度”类别。从T1到T2和T3,轻度类别中的成员更有可能转变为中度-重度类别。化疗方案、既往手术治疗和教育程度可以预测这种转变。

结论

研究结果有助于更好地了解患者不同的症状体验和特征。这可以帮助临床医生预测症状模式,并为首次计划接受化疗的肺癌患者制定干预措施。

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