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Ming DK, Daniels J, Chanh HQ, Karolcik S, Hernandez B, Manginas V, Nguyen VH, Nguyen QH, Phan TQ, Luong THT, Trieu HT, Holmes AH, Phan VT, Georgiou P, Yacoub S. Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring. NPJ Digit Med 2024; 7:306. [PMID: 39488652 PMCID: PMC11531560 DOI: 10.1038/s41746-024-01304-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2024] [Accepted: 10/15/2024] [Indexed: 11/04/2024] Open
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.
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Affiliation(s)
- Damien Keng Ming
- Centre for Antimicrobial Optimisation, Imperial College London, London, UK.
| | - John Daniels
- Centre for Bio-Inspired Technology, Imperial College London, London, UK
| | - Ho Quang Chanh
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Stefan Karolcik
- Centre for Bio-Inspired Technology, Imperial College London, London, UK
| | - Bernard Hernandez
- Centre for Antimicrobial Optimisation, Imperial College London, London, UK
| | | | - Van Hao Nguyen
- Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | - Quang Huy Nguyen
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - Tu Qui Phan
- Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | | | | | - Alison Helen Holmes
- Centre for Antimicrobial Optimisation, Imperial College London, London, UK
- Department of Global Health and Infectious Diseases, University of Liverpool, Liverpool, UK
| | - Vinh Tho Phan
- Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | - Pantelis Georgiou
- Centre for Antimicrobial Optimisation, Imperial College London, London, UK
- Centre for Bio-Inspired Technology, Imperial College London, London, UK
| | - Sophie Yacoub
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK
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Webb KL, Pruter WW, Poole RJ, Techentin RW, Johnson CP, Regimbal RJ, Berndt KJ, Holmes DR, Haider CR, Joyner MJ, Convertino VA, Wiggins CC, Curry TB. Comparing the compensatory reserve metric obtained from invasive arterial measurements and photoplethysmographic volume-clamp during simulated hemorrhage. J Clin Monit Comput 2024:10.1007/s10877-024-01166-x. [PMID: 38733507 DOI: 10.1007/s10877-024-01166-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/16/2024] [Indexed: 05/13/2024]
Abstract
PURPOSE The compensatory reserve metric (CRM) is a novel tool to predict cardiovascular decompensation during hemorrhage. The CRM is traditionally computed using waveforms obtained from photoplethysmographic volume-clamp (PPGVC), yet invasive arterial pressures may be uniquely available. We aimed to examine the level of agreement of CRM values computed from invasive arterial-derived waveforms and values computed from PPGVC-derived waveforms. METHODS Sixty-nine participants underwent graded lower body negative pressure to simulate hemorrhage. Waveform measurements from a brachial arterial catheter and PPGVC finger-cuff were collected. A PPGVC brachial waveform was reconstructed from the PPGVC finger waveform. Thereafter, CRM values were computed using a deep one-dimensional convolutional neural network for each of the following source waveforms; (1) invasive arterial, (2) PPGVC brachial, and (3) PPGVC finger. Bland-Altman analyses were used to determine the level of agreement between invasive arterial CRM values and PPGVC CRM values, with results presented as the Mean Bias [95% Limits of Agreement]. RESULTS The mean bias between invasive arterial- and PPGVC brachial CRM values at rest, an applied pressure of -45mmHg, and at tolerance was 6% [-17%, 29%], 1% [-28%, 30%], and 0% [-25%, 25%], respectively. Additionally, the mean bias between invasive arterial- and PPGVC finger CRM values at rest, applied pressure of -45mmHg, and tolerance was 2% [-22%, 26%], 8% [-19%, 35%], and 5% [-15%, 25%], respectively. CONCLUSION There is generally good agreement between CRM values obtained from invasive arterial waveforms and values obtained from PPGVC waveforms. Invasive arterial waveforms may serve as an alternative for computation of the CRM.
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Affiliation(s)
- Kevin L Webb
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, 200 First St. SW, 55905, Rochester, Minnesota, MN, USA
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Wyatt W Pruter
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, 200 First St. SW, 55905, Rochester, Minnesota, MN, USA
| | - Ruth J Poole
- Special Purpose Processor Development Group, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Robert W Techentin
- Special Purpose Processor Development Group, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Christopher P Johnson
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, 200 First St. SW, 55905, Rochester, Minnesota, MN, USA
| | - Riley J Regimbal
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, 200 First St. SW, 55905, Rochester, Minnesota, MN, USA
| | - Kaylah J Berndt
- Special Purpose Processor Development Group, Mayo Clinic, Rochester, Minnesota, United States of America
| | - David R Holmes
- Biomedical Analytics and Computational Engineering Laboratory, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Clifton R Haider
- Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, Minnesota, United States of America
| | - Michael J Joyner
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, 200 First St. SW, 55905, Rochester, Minnesota, MN, USA
| | - Victor A Convertino
- Battlefield Health & Trauma Center for Human Integrative Physiology, Army Institute of Surgical Research, JBSA Fort Sam Houston, San Antonio, TX, United States of America
| | - Chad C Wiggins
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, 200 First St. SW, 55905, Rochester, Minnesota, MN, USA
- Department of Kinesiology, Michigan State University, East Lansing, Michigan, United States of America
| | - Timothy B Curry
- Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, 200 First St. SW, 55905, Rochester, Minnesota, MN, USA.
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Paz-Bailey G, Adams LE, Deen J, Anderson KB, Katzelnick LC. Dengue. Lancet 2024; 403:667-682. [PMID: 38280388 DOI: 10.1016/s0140-6736(23)02576-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 11/01/2023] [Accepted: 11/15/2023] [Indexed: 01/29/2024]
Abstract
Dengue, caused by four closely related viruses, is a growing global public health concern, with outbreaks capable of overwhelming health-care systems and disrupting economies. Dengue is endemic in more than 100 countries across tropical and subtropical regions worldwide, and the expanding range of the mosquito vector, affected in part by climate change, increases risk in new areas such as Spain, Portugal, and the southern USA, while emerging evidence points to silent epidemics in Africa. Substantial advances in our understanding of the virus, immune responses, and disease progression have been made within the past decade. Novel interventions have emerged, including partially effective vaccines and innovative mosquito control strategies, although a reliable immune correlate of protection remains a challenge for the assessment of vaccines. These developments mark the beginning of a new era in dengue prevention and control, offering promise in addressing this pressing global health issue.
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Affiliation(s)
| | - Laura E Adams
- Centers for Disease Control and Prevention, San Juan, Puerto Rico
| | - Jacqueline Deen
- Institute of Child Health and Human Development, National Institutes of Health, University of the Philippines, Manila, Philippines
| | - Kathryn B Anderson
- Department of Microbiology and Immunology, SUNY Upstate Medical University, Syracuse, NY, USA
| | - Leah C Katzelnick
- Viral Epidemiology and Immunity Unit, Laboratory of Infectious Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
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