Medicine and Health

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

D. K. Ming, J. Daniels, et al.

This groundbreaking study conducted by Damien Keng Ming, John Daniels, and their colleagues in Vietnam explores a low-cost wearable device that predicts dengue deterioration in hospitalized patients using photoplethysmography. With impressive forecasting capabilities, this research showcases a potential approach for cost-effective triage and care.

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Abstract

This prospective observational clinical study in Vietnam (Jan 2020-Oct 2022) investigated the performance of a low-cost wearable using photoplethysmography (PPG) to predict dengue deterioration in hospitalized patients (n=153). A multi-modal transformer approach, using 10-min PPG segments and clinical data, continuously forecast clinical state. Predicting low-risk states (NEWS2 and CRAMS <6) achieved an AUPRC of 0.67 and AUROC of 0.83. This suggests potential for cost-effective triage and care.

Publisher

Nature Digital Medicine

Published On

Nov 22, 2024

Authors

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

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