Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Damien Keng Ming, John Daniels, Ho Quang Chanh, Stefan Karolcik, Bernard Hernandez, Vasileios Manginas, Van Hao Nguyen, Quang Huy Nguyen, Tu Qui Phan, Thi Hue Tai Luong, Huynh Trung Trieu, Alison Helen Holmes, Vinh Tho Phan, Pantelis Georgiou, Sophie Yacoub, On behalf of the VITAL consortium
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引用次数: 0

Abstract

Close vital signs monitoring is crucial for the clinical management of patients with dengue. We investigated performance of a non-invasive wearable utilising photoplethysmography (PPG), to provide real-time risk prediction in hospitalised individuals. We performed a prospective observational clinical study in Vietnam between January 2020 and October 2022: 153 patients were included in analyses, providing 1353 h of PPG data. Using a multi-modal transformer approach, 10-min PPG waveform segments and basic clinical data (age, sex, clinical features on admission) were used as features to continuously forecast clinical state 2 h ahead. Prediction of low-risk states (17,939/80,843; 22.1%), defined by NEWS2 and mSOFA < 6, was associated with an area under the precision-recall curve of 0.67 and an area under the receiver operator curve of 0.83. Implementation of such interventions could provide cost-effective triage and clinical care in dengue, offering opportunities for safe ambulatory patient management.

Abstract Image

Abstract Image

利用低成本可穿戴设备进行持续临床监测,预测登革热病情恶化情况
密切的生命体征监测对于登革热患者的临床管理至关重要。我们研究了利用光电血压计(PPG)的无创可穿戴设备的性能,以便为住院患者提供实时风险预测。我们于 2020 年 1 月至 2022 年 10 月在越南开展了一项前瞻性临床观察研究:153 名患者参与了分析,提供了 1353 小时的 PPG 数据。采用多模态变换器方法,将 10 分钟 PPG 波形片段和基本临床数据(年龄、性别、入院时的临床特征)作为特征,连续预测入院 2 小时前的临床状态。根据NEWS2和mSOFA <6定义的低风险状态(17,939/80,843; 22.1%)的预测与0.67的精确-召回曲线下面积和0.83的接收者操作曲线下面积相关。实施此类干预措施可为登革热患者提供具有成本效益的分诊和临床护理,为安全的非住院患者管理提供机会。
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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