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

IF 3.3 Q2 ONCOLOGY
JCO Clinical Cancer Informatics Pub Date : 2025-07-01 Epub Date: 2025-07-11 DOI:10.1200/CCI-25-00111
Carissa A Low, Christianna Bartel, Krina Durica, Heidi S Donovan, Roby Thomas, Jennifer Fedor
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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; P = .007), less activity fragmentation (HR, 1.03; P < .001), and faster peak gait cadence (HR, 0.81; P < .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.

消费者可穿戴设备测量的步态节奏和活动碎片作为化疗患者生存的预测因子。
目的:消费者可穿戴设备为测量整个癌症治疗过程中客观的日常身体活动模式提供了新的机会。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,这两个指标可能反映功能能力。当前研究的目的是检查步数、步态节奏和活动碎片是否能预测实体瘤患者的总生存期。方法:我们将213例因实体瘤接受门诊化疗的患者纳入观察性队列研究。患者佩戴消费者可穿戴设备,测量长达90天的连续身体活动模式,随访时间中位数为2.53年,在此期间,42%的样本死亡。使用单变量和多变量Cox比例风险回归分析来评估可穿戴设备物理功能指标与生存率之间的关系。结果:在单变量分析中,较高的步数(风险比(HR), 0.87;P = .007),活动碎片较少(HR, 1.03;P < 0.001)、更快的峰值步速(HR, 0.81;P < 0.001)与较低的死亡风险显著相关。在调整了年龄、癌症类型和分期,以及在进一步调整了临床评估的表现状态和患者报告的身体功能后,活动碎片化和步态节奏的关联仍然存在。结论:来自消费者可穿戴设备的活动碎片和步态节奏指标与接受任何实体瘤化疗的患者的总生存率相关。在调整协变量(包括临床医生评价的表现状态和患者报告的身体功能)后,这些关联仍然具有统计学意义。这些发现表明,可穿戴设备可以捕捉到重要的身体功能预后信息,而不依赖于临床医生和患者的感知。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
4.80%
发文量
190
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