biostudies-literatureKarolcik SWellcome Trust105164https://www.ebi.ac.uk/biostudies/studies/S-EPMC11167237biostudies-literatureUnknown104<h4>Background</h4>Dengue epidemics impose considerable strain on healthcare resources. Real-time continuous and non-invasive monitoring of patients admitted to the hospital could lead to improved care and outcomes. We evaluated the performance of a commercially available wearable (SmartCare) utilising photoplethysmography (PPG) to stratify clinical risk for a cohort of hospitalised patients with dengue in Vietnam.<h4>Methods</h4>We performed a prospective observational study for adult and paediatric patients with a clinical diagnosis of dengue at the Hospital for Tropical Disease, Ho Chi Minh City, Vietnam. Patients underwent PPG monitoring early during admission alongside standard clinical care. PPG waveforms were analysed using machine learning models. Adult patients were classified betEBioMedicineTowards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study.PMC11167237215010/Z/18/Z215688/Z/19/ZHuyen VNTKarolcik SPhan Nguyen Quoc KDaniels JNguyen Van HChanh HQManginas VGiang NTPhan TQTrieu HTHoang MTVThwaites LYacoub SHolmes AHMing DKVietnam ICU Translational Applications Laboratory (VITAL) InvestigatorsHernandez BLuong Thi Hue TPhan Vinh TGeorgiou PfalseTowards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study.<h4>Background</h4>Dengue epidemics impose considerable strain on healthcare resources. Real-time continuous and non-invasive monitoring of patients admitted to the hospital could lead to improved care and outcomes. We evaluated the performance of a commercially available wearable (SmartCare) utilising photoplethysmography (PPG) to stratify clinical risk for a cohort of hospitalised patients with dengue in Vietnam.<h4>Methods</h4>We performed a prospective observational study for adult and paediatric patients with a clinical diagnosis of dengue at the Hospital for Tropical Disease, Ho Chi Minh City, Vietnam. Patients underwent PPG monitoring early during admission alongside standard clinical care. PPG waveforms were analysed using machine learning models. Adult patients were classified bet2024-01-01T00:00:00Z2024 Jun2026-06-05T19:51:50.425Z2026-05-21T03:11:05.996ZS-EPMC111672373881536310.1016/j.ebiom.2024.105164