适用于可穿戴式监测的新型创伤严重程度评分系统:一项试点研究。

IF 2.6 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES PLoS ONE Pub Date : 2025-03-04 eCollection Date: 2025-01-01 DOI:10.1371/journal.pone.0318290
Alice Lemarquand, Pierre Jannot, Léo Kammerlocher, Gaëlle Lissorgues, Michel Behr, Pierre-Jean Arnoux, Salah Boussen
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引用次数: 0

摘要

可穿戴技术代表了各种医疗应用的强大发展轴,智能手表的普及说明了这些设备越来越多地用于日常生活。与新的数据处理方法相结合,它为远程监控、大规模伤亡情况的分诊或交通或体育事故后的早期诊断提供了很好的机会。处理生理数据的一种方法是开发严重性评分系统来量化个人健康状况的临界水平。然而,现有的严重性评分需要人工评估。本文提出了适用于连续和实时可穿戴监测的严重性评分系统的第一个版本。研究的重点是通过可穿戴腕带直接测量的三个生理参数:心率、呼吸频率和SpO2,这可能足以连续表征血液动力学和呼吸状态。利用s型模型建立了各生理参数对应的中间得分函数。边界条件是根据对54名保健专业人员进行的调查确定的。还开发了一个适应功能,将三个中间分数合并为一个全局分数。分数与三色分类代码相关联:绿色代表低优先级伤员,橙色代表延迟伤员,红色代表紧急伤员。新的严重程度评分系统与真实数据进行了初步的对抗,使用了84名入住重症监护室的受试者的数据库。将新评分系统的颜色分类与独立医生的直接评价进行比较,作为参考。整个数据库的预测成功率为74%。还给出了两个随时间持续监测的例子。新的评分被证明是一致的,并且可以很容易地升级,整合额外的生命体征监测或医疗信息。
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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A new trauma severity scoring system adapted to wearable monitoring: A pilot study.

Wearable technologies represent a strong development axis for various medical applications and these devices are increasingly used in daily life as illustrated by smart watches' popularisation. Combined with new data processing methods, it constitutes a promising opportunity for telemonitoring, triage in mass casualty situations, or early diagnosis after a traffic or sport accident. An approach to processing the physiological data is to develop severity scoring systems to quantify the critical level of an individual's health status. However, the existing severity scores require a human evaluation. A first version of a severity scoring system adapted to continuous and real-time wearable monitoring is proposed in this article. The focus is made on three physiological parameters straightforwardly measurable with wrist-wearables: heart rate, respiratory rate, and SpO2, which may be enough to characterise continuously hemodynamic and respiratory status. Intermediate score functions corresponding to each physiological parameter have been established using a sigmoid model. The boundary conditions have been defined based on a survey conducted among 54 health professionals. An adapted function has also been developed to merge the three intermediate scores into a global score. The scores are associated with a triage tricolour code: green for a low-priority casualty, orange for a delayable one, red for an urgent one. Preliminary confrontation of the new severity scoring system with real data has been carried out using a database of 84 subjects admitted to the intensive care unit. Colour classification by the new scoring system was compared with independent physicians' direct evaluation as a reference. The prediction success rate values 74% over the entire database. Two examples of continuous monitoring over time are also given. The new score has turned out to be consistent, and may be easily upgraded with the integration of additional vital signs monitoring or medical information.

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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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