Memon Ali, Lec Patrick, Lenis Andrew, Sharma Vidit, Wood Erika, Schade George, Brisbane Wayne
Department of Urology, University of Washington, Seattle, WA, United States.
Department of Urology, University of California, Los Angeles, Los Angeles, CA, United States.
JMIR Perioper Med. 2021 Feb 25;4(1):e21571. doi: 10.2196/21571.
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.
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.
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.
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.
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.
传统上,手术恢复监测仅限于在医院和诊所环境中可测量的指标。然而,现在市面上的移动传感器能够将测量范围扩展到患者家中。由于这些传感器是为非医疗应用开发的,其临床作用尚未确立。本系统评价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。
本研究的目的是描述移动传感器在围手术期的当前使用情况及其数据与临床结果之间的相关性。
对EMBASE、MEDLINE和Cochrane图书馆从创刊至2019年4月进行系统检索,以确定使用移动传感器监测手术患者的研究。如果传感器收集患者步数、体温或心率等指标,则予以考虑。纳入标准为患者接受大手术(术后住院≥1天),围手术期使用移动传感器进行监测,且研究报告了术后结果(即并发症和再次入院)。对于包含步数的研究,使用均值和随机效应线性模型计算并发症组和非并发症组术后每天步数的汇总分析。使用推荐分级、评估、制定和评价工具评估研究质量。
从2209篇摘要中,我们确定了11项研究进行综述。综述的研究包括前瞻性观察队列(n = 10)或随机对照试验(n = 1)。活动监测器是使用最广泛的传感器(n = 10),另有一项研究测量了体温、呼吸频率和心率(n = 1)。步数少与术后结果较差相关。术后每天中位数步数约为1000步与不良手术结果相关。在这些研究中,手术类型和报告的术后结果类型之间存在异质性。
尽管手术类型和传感器类型存在显著异质性,但跨手术专科来看,步数少与术后结果较差相关。需要进一步研究和标准化来评估移动传感器在术后护理中的作用,但术后每天约1000步的阈值值得进一步研究。