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Relationship Between Mobile Digital Sensor Monitoring and Perioperative Outcomes: Systematic Review

机译:移动数字传感器监测与围手术期结果之间的关系:系统评价

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Background Monitoring surgical recovery has traditionally been confined to metrics measurable within the hospital and clinic setting. However, commercially available mobile sensors are now capable of extending measurements into a patient’s home. As these sensors were developed for nonmedical applications, their clinical role has yet to be established. The aim of this systematic review is to evaluate the relationship between data generated by mobile sensors and postoperative outcomes. Objective The objective of this study is to describe the current use of mobile sensors in the perioperative setting and the correlation between their data and clinical outcomes. Methods A systematic search of EMBASE, MEDLINE, and Cochrane Library from inception until April 2019 was performed to identify studies of surgical patients monitored with mobile sensors. Sensors were considered if they collected patient metrics such as step count, temperature, or heart rate. Studies were included if patients underwent major surgery (≥1 inpatient postoperative day), patients were monitored using mobile sensors in the perioperative period, and the study reported postoperative outcomes (ie, complications and hospital readmission). For studies including step count, a pooled analysis of the step count per postoperative day was calculated for the complication and noncomplication cohorts using mean and a random-effects linear model. The Grading of Recommendations, Assessment, Development, and Evaluation tool was used to assess study quality. Results From 2209 abstracts, we identified 11 studies for review. Reviewed studies consisted of either prospective observational cohorts (n=10) or randomized controlled trials (n=1). Activity monitors were the most widely used sensors (n=10), with an additional study measuring temperature, respiratory rate, and heart rate (n=1). Low step count was associated with worse postoperative outcomes. A median step count of around 1000 steps per postoperative day was associated with adverse surgical outcomes. Within the studies, there was heterogeneity between the type of surgery and type of reported postoperative outcome. Conclusions Despite significant heterogeneity in the type of surgery and sensors, low step count was associated with worse postoperative outcomes across surgical specialties. Further studies and standardization are needed to assess the role of mobile sensors in postoperative care, but a threshold of approximately 1000 steps per postoperative day warrants further investigation.
机译:背景技术监测手术恢复传统上被限制在医院和诊所环境中可测量的度量。然而,商业上可获得的移动传感器现在能够将测量值延伸到患者的家中。随着这些传感器的开发用于非医疗应用,尚未建立其临床作用。该系统审查的目的是评估移动传感器产生的数据与术后结果之间的关系。目的本研究的目的是描述目前在围手术期环境中使用移动传感器以及其数据与临床结果之间的相关性。方法对嵌入,MEDLINE和Cochrane图书馆进行系统检索,从2009年到2019年4月进行,以确定用移动传感器监测的外科患者的研究。如果他们收集了患者度量,例如步长计数,温度或心率,则考虑传感器。如果患者接受了主要手术(≥1本体术后日),则使用围手术期的移动传感器监测患者,研究报告术后结果(即并发症和医院入院)。对于包括步数的研究,计算使用平均值和随机效应线性模型的并发症和非符合队伍计算每术后一天的步骤计数的汇总分析。建议,评估,开发和评估工具的评分用于评估研究质量。结果来自2209摘要,我们确定了11项审查研究。审查的研究由前瞻性观察队(N = 10)或随机对照试验组成(n = 1)。活动监测器是最广泛使用的传感器(n = 10),具有额外的研究测量温度,呼吸速率和心率(n = 1)。低步数与术后结果更差。每术后一天的中位数约为1000个步骤与不良外科结果有关。在研究中,在术后结果的手术类型与报告的类型之间存在异质性。结论尽管手术和传感器类型具有重要的异质性,但低步数与手术专业的术后结果较差。需要进一步的研究和标准化来评估移动传感器在术后护理中的作用,但每次术后日的阈值约为1000个步骤,认证进一步调查。

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