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乳腺癌放疗后迟发性疲劳和疲劳轨迹的(术前)治疗危险因素。

(Pre)treatment risk factors for late fatigue and fatigue trajectories following radiotherapy for breast cancer.

机构信息

Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.

Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians University, Munich, Germany.

出版信息

Int J Cancer. 2023 Nov 1;153(9):1579-1591. doi: 10.1002/ijc.34640. Epub 2023 Jul 5.

Abstract

Fatigue is common in breast-cancer survivors. Our study assessed fatigue longitudinally in breast cancer patients receiving adjuvant radiotherapy (RT) and aimed to identify risk factors associated with long-term fatigue and underlying fatigue trajectories. Fatigue was measured in a prospective multicenter cohort (REQUITE) using the Multidimensional Fatigue Inventory (MFI-20) and analyzed using mixed models. Multivariable logistic models identified factors associated with fatigue dimensions at 2 years post-RT and latent class growth analysis identified individual fatigue trajectories. A total of 1443, 1302, 1203 and 1098 patients completed the MFI-20 at baseline, end of RT, after 1 and 2 years. Overall, levels of fatigue significantly increased from baseline to end of RT for all fatigue dimensions (P < .05) and returned to baseline levels after 2 years. A quarter of patients were assigned to latent trajectory high (23.7%) and moderate (24.8%) fatigue classes, while 46.3% and 5.2% to the low and decreasing fatigue classes, respectively. Factors associated with multiple fatigue dimensions at 2 years include age, BMI, global health status, insomnia, pain, dyspnea and depression. Fatigue present at baseline was consistently associated with all five MFI-20 fatigue dimensions (OR  = 3.81, P < .001). From latent trajectory analysis, patients with a combination of factors such as pain, insomnia, depression, younger age and endocrine therapy had a particularly high risk of developing early and persistent high fatigue years after treatment. Our results confirmed the multidimensional nature of fatigue and will help clinicians identify breast cancer patients at higher risk of having persistent/late fatigue so that tailored interventions can be delivered.

摘要

疲劳在乳腺癌幸存者中很常见。我们的研究在接受辅助放疗(RT)的乳腺癌患者中进行了纵向疲劳评估,并旨在确定与长期疲劳和潜在疲劳轨迹相关的风险因素。在一项前瞻性多中心队列研究(REQUITE)中,使用多维疲劳清单(MFI-20)测量疲劳,并使用混合模型进行分析。多变量逻辑模型确定了与 RT 后 2 年疲劳维度相关的因素,潜在类别增长分析确定了个体疲劳轨迹。共有 1443、1302、1203 和 1098 例患者分别在基线、RT 结束时、1 年和 2 年时完成 MFI-20。总体而言,所有疲劳维度的疲劳水平从基线到 RT 结束时均显著增加(P<.05),并在 2 年后恢复到基线水平。四分之一的患者被分配到潜在轨迹高(23.7%)和中度(24.8%)疲劳类别,而 46.3%和 5.2%分别为低和减少疲劳类别。与 2 年后多个疲劳维度相关的因素包括年龄、BMI、总体健康状况、失眠、疼痛、呼吸困难和抑郁。基线时存在的疲劳与 MFI-20 的所有 5 个疲劳维度均始终相关(OR=3.81,P<.001)。从潜在轨迹分析来看,疼痛、失眠、抑郁、年龄较小和内分泌治疗等因素相结合的患者在治疗后多年尤其容易出现早期和持续的高疲劳风险。我们的研究结果证实了疲劳的多维性质,并将帮助临床医生识别出患有持续性/迟发性疲劳风险较高的乳腺癌患者,以便提供有针对性的干预措施。

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