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成年人急性髓细胞白血病患者的身体整体健康状况变化轨迹。

Trajectories of physical well-being among adults with acute myeloid leukemia.

机构信息

James P. Wilmot Cancer Institute, University of Rochester Medical Center, Rochester, NY.

Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY.

出版信息

Blood Adv. 2024 Jun 11;8(11):2612-2621. doi: 10.1182/bloodadvances.2023011804.

Abstract

Patients with acute myeloid leukemia (AML) often undergo physical decline leading to negative outcomes. Identification of distinct trajectories may help guide clinical decision-making and supportive care interventions. We built group-based trajectory models (GBTM) to find trajectories of change in the Functional Assessment of Cancer Therapy Physical Well-Being (FACT-PWB) subscale (up to 5 time points over 0 to 200 days of follow-up) using data from adults with newly diagnosed AML in 4 supportive care studies. We also estimated the association of baseline characteristics (age, marital status, education, AML risk, baseline FACT-PWB, depression, and anxiety) with group membership. Among 343 patients with ≥2 FACT-PWB scores, mean age was 69.6 years (standard deviation, 12.1); most had intermediate-risk AML (n = 178 [51.8%]), received intensive treatment (n = 244 [71.1%]), and died during follow-up (n = 199 [58.0%]). The GBTM with 4 distinct trajectories showed the best fit. The largest group (n = 153 [45.0%]) showed slight improvement, whereas the smallest (n = 8 [2.4%]) experienced early decline with later improvement. Baseline FACT-PWB was the only characteristic statistically significantly associated with group membership. Adults with AML show distinct trajectories of physical well-being, and many experience some decline. Exploring trajectories of self-reported and objective physical function may inform decision-making and interventions. These trials were registered at www.ClinicalTrials.gov as #NCT02975869, #NCT03310918, and #NCT03372291.

摘要

急性髓细胞白血病(AML)患者常出现身体机能下降,导致不良结局。识别不同的轨迹可能有助于指导临床决策和支持性护理干预。我们使用 4 项支持性护理研究中初诊 AML 成人的数据,构建基于群组的轨迹模型(GBTM),以确定功能评估癌症疗法身体状况(FACT-PWB)子量表(最多 5 个时间点,随访时间为 0 至 200 天)的变化轨迹。我们还估计了基线特征(年龄、婚姻状况、教育程度、AML 风险、基线 FACT-PWB、抑郁和焦虑)与群组归属的关系。在≥2 次 FACT-PWB 评分的 343 名患者中,平均年龄为 69.6 岁(标准差 12.1);大多数患者为中危 AML(n=178[51.8%]),接受强化治疗(n=244[71.1%]),随访期间死亡(n=199[58.0%])。具有 4 个不同轨迹的 GBTM 具有最佳拟合度。最大的群组(n=153[45.0%])表现出轻微改善,而最小的群组(n=8[2.4%])则表现出早期下降,随后逐渐改善。基线 FACT-PWB 是唯一与群组归属具有统计学显著关联的特征。AML 成人表现出不同的身体状况轨迹,许多人经历了一些下降。探索自我报告和客观身体功能的轨迹可能有助于决策和干预。这些试验在 www.ClinicalTrials.gov 上注册为 #NCT02975869、#NCT03310918 和 #NCT03372291。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe92/11157208/c9575b3d9223/BLOODA_ADV-2023-011804-ga1.jpg

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