Suppr超能文献

消费者可穿戴设备对步态节奏和活动碎片化的测量作为化疗患者生存的预测指标

Consumer Wearable Device Measures of Gait Cadence and Activity Fragmentation as Predictors of Survival Among Patients Undergoing Chemotherapy.

作者信息

Low Carissa A, Bartel Christianna, Durica Krina, Donovan Heidi S, Thomas Roby, Fedor Jennifer

机构信息

University of Pittsburgh, Pittsburgh, PA.

University of Pittsburgh Medical Center, Pittsburgh, PA.

出版信息

JCO Clin Cancer Inform. 2025 Jul;9:e2500111. doi: 10.1200/CCI-25-00111. Epub 2025 Jul 11.

Abstract

PURPOSE

Consumer wearable devices provide new opportunities for measuring patterns of objective daily physical activity throughout cancer treatment. In addition to capturing step counts, these devices can also measure gait cadence and activity fragmentation, two metrics that may reflect functional capacity. The goal of the current study was to examine whether step count, gait cadence, and activity fragmentation predicted overall survival in patients with solid tumors.

METHODS

We enrolled patients (N = 213) receiving outpatient chemotherapy for any solid tumor into an observational cohort study. Patients wore a consumer wearable device to measure continuous physical activity patterns for up to 90 days and were followed for a median of 2.53 years, during which 42% of the sample died. Univariable and multivariable Cox proportional hazards regression analyses were used to evaluate associations between wearable device physical function metrics and survival.

RESULTS

In univariable analyses, higher step count (hazard ratio (HR), 0.87; = .007), less activity fragmentation (HR, 1.03; < .001), and faster peak gait cadence (HR, 0.81; < .001) were significantly associated with lower mortality risk. Associations with activity fragmentation and gait cadence persisted after adjustment for age and cancer type and stage and after additional adjustment for clinician-rated performance status and patient-reported physical function.

CONCLUSION

Activity fragmentation and gait cadence metrics derived from consumer wearable devices were associated with overall survival in patients receiving chemotherapy for any solid tumor. These associations remained statistically significant after adjustment for covariates, including clinician-rated performance status and patient-reported physical function. These findings suggest that wearable devices may capture important prognostic information about physical function independent of what clinicians and patients perceive.

摘要

目的

消费级可穿戴设备为在整个癌症治疗过程中测量客观日常身体活动模式提供了新机会。除了记录步数外,这些设备还可以测量步态节奏和活动碎片化程度,这两个指标可能反映功能能力。本研究的目的是检验步数、步态节奏和活动碎片化程度是否能预测实体瘤患者的总生存期。

方法

我们将接受任何实体瘤门诊化疗的患者(N = 213)纳入一项观察性队列研究。患者佩戴消费级可穿戴设备,测量长达90天的持续身体活动模式,并随访中位时间为2.53年,在此期间42%的样本死亡。采用单变量和多变量Cox比例风险回归分析来评估可穿戴设备身体功能指标与生存之间的关联。

结果

在单变量分析中,步数较多(风险比(HR),0.87;P = .007)、活动碎片化程度较低(HR,1.03;P < .001)以及峰值步态节奏较快(HR,0.81;P < .001)与较低的死亡风险显著相关。在调整年龄、癌症类型和分期后,以及在进一步调整临床医生评定的表现状态和患者报告的身体功能后,与活动碎片化程度和步态节奏的关联仍然存在。

结论

来自消费级可穿戴设备的活动碎片化程度和步态节奏指标与接受任何实体瘤化疗患者的总生存期相关。在调整协变量(包括临床医生评定的表现状态和患者报告的身体功能)后,这些关联在统计学上仍然显著。这些发现表明,可穿戴设备可能捕捉到与临床医生和患者认知无关的有关身体功能的重要预后信息。

相似文献

1
消费者可穿戴设备对步态节奏和活动碎片化的测量作为化疗患者生存的预测指标
JCO Clin Cancer Inform. 2025 Jul;9:e2500111. doi: 10.1200/CCI-25-00111. Epub 2025 Jul 11.
2
两种现代生存预测工具 SORG-MLA 和 METSSS 在接受手术联合放疗和单纯放疗治疗有症状长骨转移患者中的比较。
Clin Orthop Relat Res. 2024 Dec 1;482(12):2193-2208. doi: 10.1097/CORR.0000000000003185. Epub 2024 Jul 23.
3
原发性手术后晚期上皮性卵巢癌患者残留病灶对生存预后的影响。
Cochrane Database Syst Rev. 2022 Sep 26;9(9):CD015048. doi: 10.1002/14651858.CD015048.pub2.
4
转移性皮肤黑色素瘤的全身治疗
Cochrane Database Syst Rev. 2018 Feb 6;2(2):CD011123. doi: 10.1002/14651858.CD011123.pub2.
5
老年新诊断胶质母细胞瘤的治疗:一项网状Meta分析
Cochrane Database Syst Rev. 2020 Mar 23;3(3):CD013261. doi: 10.1002/14651858.CD013261.pub2.
7
是否有可能开发一种天花板效应较低的患者报告体验测量方法?
Clin Orthop Relat Res. 2025 Apr 1;483(4):693-703. doi: 10.1097/CORR.0000000000003262. Epub 2024 Oct 25.
8
一款用于测量老年人大腹部手术前步行节奏的智能手机应用程序。
Digit Biomark. 2025 Jun 12;9(1):113-123. doi: 10.1159/000545982. eCollection 2025 Jan-Dec.
10
利用预后信息为乳腺癌患者选择辅助性全身治疗的成本效益
Health Technol Assess. 2006 Sep;10(34):iii-iv, ix-xi, 1-204. doi: 10.3310/hta10340.

本文引用的文献

2
挖掘局部晚期非小细胞肺癌患者生成健康数据的预后价值。
Clin Lung Cancer. 2024 Dec;25(8):e459-e465.e1. doi: 10.1016/j.cllc.2024.08.010. Epub 2024 Aug 23.
3
2020-2022 年美国可穿戴设备的拥有和使用模式:调查研究。
J Med Internet Res. 2024 Jul 26;26:e56504. doi: 10.2196/56504.
5
癌症诊断后身体机能下降与绝经后妇女更高的死亡率风险相关。
J Natl Cancer Inst. 2024 Jul 1;116(7):1035-1042. doi: 10.1093/jnci/djae055.
7
患有癌症和不患有癌症的女性身体功能衰退的长期轨迹。
JAMA Oncol. 2023 Mar 1;9(3):395-403. doi: 10.1001/jamaoncol.2022.6881.
8
用于数据流的可重复分析管道:处理通过移动设备收集的数据的开源软件。
Front Digit Health. 2021 Nov 18;3:769823. doi: 10.3389/fdgth.2021.769823. eCollection 2021.
9
每天走多少步可降低全因死亡率风险?一项剂量反应荟萃分析。
J Intern Med. 2022 Apr;291(4):519-521. doi: 10.1111/joim.13413. Epub 2021 Nov 22.
10
身体功能可预测癌症患者的死亡率:观察性研究的系统评价和荟萃分析。
Support Care Cancer. 2021 Oct;29(10):5623-5634. doi: 10.1007/s00520-021-06171-3. Epub 2021 Mar 26.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验