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

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Ming, Damien Keng ORCID: 0000-0003-3125-6378, Daniels, John ORCID: 0000-0002-4464-2625, Chanh, Ho Quang ORCID: 0000-0002-1840-0868, Karolcik, Stefan ORCID: 0000-0002-3638-0741, Hernandez, Bernard ORCID: 0000-0003-1010-3559, Manginas, Vasileios ORCID: 0009-0006-9145-9328, Nguyen, Van Hao, Nguyen, Quang Huy, Phan, Tu Qui, Luong, Thi Hue Tai et al (show 6 more authors) , Trieu, Huynh Trung ORCID: 0000-0003-4922-6548, Holmes, Alison Helen ORCID: 0000-0001-5554-5743, Phan, Vinh Tho, Georgiou, Pantelis ORCID: 0000-0003-2476-3857, Yacoub, Sophie ORCID: 0000-0002-2910-7819 and VITAL consortium (2024) Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring. NPJ digital medicine, 7 (1). 306-. ISSN 2398-6352, 2398-6352

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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.

Item Type:	Article
Uncontrolled Keywords:	VITAL consortium
Divisions:	Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology
Depositing User:	Symplectic Admin
Date Deposited:	03 Dec 2024 14:54
Last Modified:	03 Dec 2024 23:44
DOI:	10.1038/s41746-024-01304-4
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3189023