探讨持续足底温度监测对糖尿病足健康管理的价值:观察性、前瞻性队列研究。

IF 6.2 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Maryam Hajizadeh, Emily Matijevich, Emily Bray, Evan Minty, Brock Liden
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引用次数: 0

摘要

背景:糖尿病足溃疡(DFUs)是一种改变生活的糖尿病并发症。越来越多的证据表明,远程足底温度监测可以减少dfu的复发。每天监测一次足部温度是目前识别足部炎症早期迹象的指导方针。然而,当生理信号在一天中波动时,单一的读数会增加误诊的风险。目的:本研究的目的是评估有DFUs风险的个体的日间温度不对称信号是稳定的还是随时间变化的。方法:总共64名糖尿病患者(平均年龄68岁,SD 13.8 y)在90天的研究窗口中使用多模式感觉鞋垫(Orpyx感觉鞋垫)以每分钟一次的频率监测足底5个位置的连续温度数据。采用增广Dickey-Fuller检验来确定温度不对称信号是平稳的(即表明随时间的平均值和方差恒定)还是非平稳的(即表明信号中随时间变化的行为或趋势)。结果:该研究纳入43名参与者,1080个数据日,5400个对侧温度不对称信号。大多数(4428/5400,82%)温度不对称信号是非平稳的,日内波动可能受到生理和环境因素的影响。在非平稳信号中,近一半(1948/ 4428,44%)在2.2°C的不对称阈值上下波动。日内变异性强调了每日一次测量的假阳性和假阴性热点检测的可能性。在参与者内部和参与者之间的平稳性模式中观察到大量的变异性。值得注意的是,非平稳信号的不对称发生在参与者、测量窗口和天数的不同时间点。结论:我们的研究结果强调了连续足底温度监测对糖尿病足健康管理的价值,相对于每天一次的测量。全天多次重复测量增加了对观察到的足底生理学趋势的准确性的信心。持续监测可以提高足底温度测量的准确性,解锁新的诊断功能,并支持个性化护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study.

Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study.

Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study.

Exploring the Value of Continuous Plantar Temperature Monitoring for Diabetic Foot Health Management: Observational, Prospective Cohort Study.

Background: Diabetic foot ulcers (DFUs) are a life-changing complication of diabetes. There is increasing evidence that remote plantar temperature monitoring can reduce the recurrence of DFUs. Monitoring of foot temperature once a day is the current guideline for identifying early signs of foot inflammation. However, single readings of physiological signals can increase the risk of misdiagnosis when the signals fluctuate throughout the day.

Objective: The aim of this study was to evaluate whether intraday temperature asymmetry signals were stable or varied as a function of time in individuals at risk of DFUs.

Methods: In total, 64 participants with diabetes (mean age 68, SD 13.8 y) were provided with multimodal sensory insoles (Orpyx Sensory Insoles) to monitor continuous temperature data at a frequency of once per minute at 5 plantar locations in a 90-day study window. The augmented Dickey-Fuller test was used to determine whether the temperature asymmetry signals were stationary (ie, indicating constant mean and variance over time) or nonstationary (ie, indicating time-varying behaviors or trends in the signal).

Results: The study included 43 participants, 1080 data days, and 5400 contralateral temperature asymmetry signals. Most (4428/5400, 82%) of the temperature asymmetry signals were nonstationary, with intraday fluctuations likely influenced by physiological and environmental factors. Of the nonstationary signals, nearly half (1948/4428, 44%) fluctuated above and below the concerning asymmetry threshold of 2.2 °C. The intraday variability underscores the potential for false-positive and false-negative hot spot detection with once-daily measurements. Substantial variability was observed in stationarity patterns both within and across participants. Notably, concerning asymmetries in nonstationary signals occurred at different time points across participants, measurement windows, and days.

Conclusions: Our findings highlight the value of continuous plantar temperature monitoring for diabetic foot health management, relative to once-daily measurements. Several repeated measurements throughout the day increase confidence with regard to the accuracy of observed plantar physiology trends. Continuous monitoring may improve the accuracy of plantar temperature measurement, unlock new diagnostic capabilities, and support personalized care.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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