School of Nursing, University of California, San Francisco, CA, USA.
School of Medicine, University of California, San Francisco, CA, USA.
Eur J Oncol Nurs. 2022 Jun;58:102031. doi: 10.1016/j.ejon.2021.102031. Epub 2021 Sep 4.
In a sample of oncology patients, identify subgroups of patients with distinct depressive symptom profiles and evaluate for differences in demographic and clinical characteristics, levels of stress and resilience, and the severity of common co-occurring symptoms.
Patients (n = 1327) had a diagnosis of breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding four weeks; and were scheduled to receive at least two additional cycles of chemotherapy. Demographic and clinical characteristics, stress, resilience, and co-occurring symptoms were evaluated at enrollment. Depressive symptoms were evaluated using the Center for Epidemiological Studies-Depression (CES-D) scale a total of six times over two cycles of chemotherapy. Latent profile analysis (LPA) was used to identify subgroups of patients (i.e., latent classes) with distinct depressive symptom profiles using the six CES-D scores.
Based on the findings from the LPA, 47.3% of the patients were classified as "None"; 33.6% as "Subsyndromal"; 13.8% as "Moderate"; and 5.3% as "High". Compared to None class, patients in the Subsyndromal, Moderate, and High classes had a lower functional status, a higher comorbidity burden, and a self-reported diagnosis of depression or back pain. Those patients with higher levels of depressive symptoms reported higher levels of stress, lower levels of resilience, and increased severity of co-occurring symptoms.
Inter-individual variability in depressive symptoms was associated with demographic and clinical characteristics, multiple types of stress and levels of resilience, as well as with the increased severity of multiple co-occurring symptoms. The risk factors associated with worse depressive symptom profiles can assist clinicians to identify high risk patients and initiate more timely supportive care interventions.
在一组肿瘤患者中,确定具有不同抑郁症状特征的亚组,并评估在人口统计学和临床特征、压力和适应力水平、常见共病症状的严重程度方面的差异。
患者(n=1327)患有乳腺癌、胃肠道癌、妇科癌或肺癌;在过去四周内接受过化疗;并计划接受至少两个周期的额外化疗。在入组时评估人口统计学和临床特征、压力、适应力和共病症状。使用中心流行病学研究抑郁量表(CES-D)共六次评估化疗两个周期内的抑郁症状。使用潜在剖面分析(LPA)根据六次 CES-D 评分确定具有不同抑郁症状特征的患者亚组(即潜在类别)。
根据 LPA 的结果,47.3%的患者被归类为“无”;33.6%为“亚综合征”;13.8%为“中度”;5.3%为“高”。与无类别相比,亚综合征、中度和高类别患者的功能状态较低,合并症负担较高,且自述患有抑郁症或背痛。那些具有较高抑郁症状水平的患者报告了更高水平的压力、更低水平的适应力,以及共病症状的严重程度增加。
抑郁症状的个体间差异与人口统计学和临床特征、多种类型的压力和适应力水平以及多种共病症状的严重程度有关。与更严重的抑郁症状特征相关的风险因素可以帮助临床医生识别高风险患者,并尽早启动更有针对性的支持性护理干预。