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首页> 外文期刊>The oncologist >Depressive Symptom Profiles and Survival in Older Patients with Cancer: Latent Class Analysis of the ELCAPA Cohort Study
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Depressive Symptom Profiles and Survival in Older Patients with Cancer: Latent Class Analysis of the ELCAPA Cohort Study

机译:老年癌症患者的抑郁症状谱和生存:ELCAPA队列研究的潜在阶级分析

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Abstract Background The expression of depressive symptoms in older people with cancer is heterogeneous because of specific features of age or cancer comorbidity. We aimed to identify depressive symptom profiles in this population and describe the associated features including survival. Materials and Methods Patients ≥70 years who were referred to geriatric oncology clinics were prospectively included in the ELCAPA study. In this subanalysis, depressive symptoms were used as indicators in a latent class analysis. Multinomial multivariable logistic regression and Cox models examined the association of each class with baseline characteristics and mortality. Results For the 847 complete‐case patients included (median age, 79 years; interquartile range, 76–84; women, 47.9%), we identified five depressive symptom classes: “no depression/somatic only” (38.8%), “no depression/pauci‐symptomatic” (26.4%), “severe depression” (20%), “mild depression” (11.8%), and “demoralization” (3%). Compared with the no depression/pauci‐symptomatic class, the no depression/somatic only and severe depression classes were characterized by more frequent comorbidities with poorer functional status and higher levels of inflammation. “Severe” and “mild” depression classes also featured poorer nutritional status, more medications, and more frequent falls. Severe depression was associated with poor social support, inpatient status, and increased risk of mortality at 1 year (adjusted hazard ratio, 1.62, 95% confidence interval, 1.06–2.48) and 3 years (adjusted hazard ratio, 1.49; 95% confidence interval, 1.06–2.10). Conclusion A data‐driven approach based on depressive symptoms identified five different depressive symptom profiles, including demoralization, in older patients with cancer. Severe depression was independently and substantially associated with poor survival. Implications for Practice Older patients with cancer present with distinct profiles of depressive symptomatology, including different severity levels of depression and the demoralization syndrome. Clinicians should use a systematic assessment of depressive symptoms to adequately highlight these distinct profiles. Geriatric and oncological features are differently associated with these profiles. For instance, severe depression was associated with more frequent comorbidities with poorer functional, poor nutritional status, polypharmacy, frequent falls, inpatient status and poor social support. Also, severe depression was independently and substantially associated with poor survival so that the identification and management of depression should be considered a high priority in this population.
机译:摘要背景,癌症抑郁症状的表达是异构的,因为年龄或癌症合并症的特定特征。我们的旨在识别该人群中的抑郁症状曲线,并描述包括生存的相关特征。材料和方法患者≥70岁,被审查了老年肿瘤诊所的患者均讨论ELCAP研究。在这种细分中,抑郁症状被用作潜在阶级分析中的指标。多项式多变量逻辑回归和COX模型检查了每个课程的关联,基线特征和死亡率。结果包括847名完整情况患者(中位年龄,79岁;四分位数范围,76-84;妇女,47.9%),我们确定了五种抑郁症课程:“没有抑郁/体细胞”(38.8%),“没有抑郁症/保利症状“(26.4%),”严重抑郁症“(20%),”温和抑郁“(11.8%)和”低级化“(3%)。与无抑郁/假症状的课程相比,没有抑郁症/体细胞抑郁和严重的抑郁症,其特征是具有较差的功能状态和更高水平的炎症的常见的合并症。 “严重”和“轻度”抑郁型课程也具有较差的营养状况,更多的药物,更频繁的瀑布。严重的抑郁症与社会支持差,住院病,病毒状况差,1年内增加死亡风险(调整危险比,1.62,95%置信区间,1.06-2.48)和3年(调整后危险比,1.49; 95%置信区间,1.06-2.10)。结论基于抑郁症状的数据驱动方法鉴定了五种不同的抑郁症状曲线,包括患有患者的患者的患者。严重的抑郁症独立且基本上与存活率不良相关。对实践老年患者存在的癌症患者的影响具有明显的抑郁症状曲线,包括不同的严重程度的抑郁症和渗透综合征。临床医生应该使用对抑郁症状的系统评估来充分突出这些明显的曲线。 GeriTric和肿瘤学特征与这些轮廓不同。例如,严重的抑郁与更频繁的合并性有较差的功能,营养状况不佳,多酚省,频繁下降,住院地位和社会支持差。此外,严重的抑郁症独立且基本上与差的生存率相关,以便抑郁症的鉴定和管理应被视为在这群人口中的高度优先事项。

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