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Helmer P, Glück J, Anastasiadis A, Rumpf F, Hottenrott S, Winkler BE, Meybohm P, Kranke P, Roch C, Sammeth M. The use of wearable sensor technology to enhance supportive care in hospitalized palliative patients (Support trial): a prospective preliminary pilot study. BMC Palliat Care 2025; 24:154. [PMID: 40450256 DOI: 10.1186/s12904-025-01794-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2025] [Accepted: 05/22/2025] [Indexed: 06/03/2025] Open
Abstract
BACKGROUND Continuous monitoring of vital parameters using wearable devices offers potential benefits in palliative care, such as early detection of clinical deterioration and improving symptom management. However, evidence supporting their feasibility and utility in hospitalized palliative care patients remains scarce. METHODS This prospective pilot study aimed to evaluate the feasibility of continuous vital sign monitoring in hospitalized palliative care patients using wrist-worn and chest-wall devices. The study was conducted from October 2023 to November 2024 and included hospitalized patients at a university hospital. Eligible participants were required to provide written informed consent. Patients were monitored for up to 30 days or until discharge or death. Data acquisition focused on the quantity and quality of recorded parameters, including heart rate, respiratory rate, and oxygen saturation, as well as advanced hemodynamic variables. Challenges in recruitment, device performance, and data reliability were assessed. RESULTS A total of 275 patients were screened, with 263 excluded for not meeting eligibility criteria. Of the nine patients who provided written informed consent, two withdrew consent before study interventions, leaving seven participants. Among these, one patient completed the maximum study duration, three were discharged to outpatient care, and three died during hospitalization. Wrist-worn devices yielded valid data for 61.5% of the monitored time (median: 57.6%; range: 20.1-78.3%), while chest-wall devices achieved 55.2% (median: 62.3%; range: 3.6-100%). Heart rate and respiratory rate showed excellent reliability (> 99% data availability), whereas oxygen saturation exhibited poor performance (45.1%). The interval between the last recorded device measurement and time of death ranged from 0 to 25 min. Recruitment challenges, including strict consent requirements, resulted in premature study termination, as achieving the target sample size of 25 patients was deemed unfeasible. CONCLUSION This pilot study demonstrates the potential of continuous monitoring technologies in palliative care, but inconsistent data availability limits the ability to recommend their routine use at this stage. Despite these challenges, the promising results highlight the need for further studies to improve device reliability and explore the broader applicability of this technology in palliative care settings.
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Affiliation(s)
- Philipp Helmer
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany.
| | - Jessica Glück
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | - Anastasios Anastasiadis
- Interdisciplinary Center for Palliative Medicine, University Hospital Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Florian Rumpf
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | - Sebastian Hottenrott
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | | | - Patrick Meybohm
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | - Peter Kranke
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
| | - Carmen Roch
- Interdisciplinary Center for Palliative Medicine, University Hospital Würzburg, Josef-Schneider-Str. 11, 97080, Würzburg, Germany
| | - Michael Sammeth
- Department of Anaesthesiology, Intensive Care, Emergency and Pain Medicine, University Hospital Würzburg, Oberdürrbacher Str. 6, 97080, Würzburg, Germany
- Department of Electrical Engineering and Computer Science, Coburg University of Applied Sciences and Art, Friedrich-Streib-Str. 2, 96450, Coburg, Germany
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Breteler MJM, Leigard E, Hartung LC, Welch JR, Brealey DA, Fritsch SJ, Konrad D, Hertzberg D, Bell M, Rienstra H, Rademakers FE, Kalkman CJ. Reliability of an all-in-one wearable sensor for continuous vital signs monitoring in high-risk patients: the NIGHTINGALE clinical validation study. J Clin Monit Comput 2025:10.1007/s10877-025-01279-x. [PMID: 40100556 DOI: 10.1007/s10877-025-01279-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: 11/06/2024] [Accepted: 02/19/2025] [Indexed: 03/20/2025]
Abstract
Continuous vital signs monitoring with wearable systems may improve early recognition of patient deterioration on hospital wards. The objective of this study was to determine whether the wearable Checkpoint Cardio's CPC12S, can accurately measure heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2), blood pressure (BP) and temperature continuously. In an observational multicenter method comparison study of 70 high-risk surgical patients admitted to high-dependency wards; HR, RR, SpO2, BP and temperature were simultaneously measured with the CPC12S system and with ICU-grade monitoring systems in four European hospitals. Outcome measures were bias and 95% limits of agreement (LoA). Clinical accuracy was assessed with Clarke Error Grid analyses for HR and RR. A total of 3,212 h of vital signs data (on average 26 h per patient) were analyzed. For HR, bias (95% LoA) of the pooled analysis was 0.0 (-3.5 to 3.4), for RR 1.5 (-3.7 to 7.5) and for SpO2 0.4 (-3.1 to 4.0). The CPC12S system overestimated BP, with a bias of 8.9 and wide LoA (-23.3 to 41.2). Temperature was underestimated with a bias of -0.6 and LoA of -1.7 to 0.6. Clarke Error Grid analyses showed that adequate treatment decisions regarding changes in HR and RR would have been made in 99.2% and 92.0% of cases respectively. The CPC12S system showed high accuracy for measurements of HR. The accuracy of RR, SpO2 were slightly overestimated and core temperature underestimated, with LoA outside the predefined clinical acceptable range. The accuracy of BP was unacceptably low.
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Affiliation(s)
- Martine J M Breteler
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
- University Medical Center Utrecht, Mailstop Q.04.2.313, P.O. Box 85500, Utrecht, 3508 GA, The Netherlands.
| | - Ellen Leigard
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Lisa C Hartung
- Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - John R Welch
- Division of Critical Care, University College London Hospitals NHS Foundation Trust, London, UK
- The NIHR University College London Hospitals Biomedical Research Centre, London, UK
- NIHR Central London Patient Safety Research Collaboration, London, UK
| | - David A Brealey
- Division of Critical Care, University College London Hospitals NHS Foundation Trust, London, UK
- The NIHR University College London Hospitals Biomedical Research Centre, London, UK
- NIHR Central London Patient Safety Research Collaboration, London, UK
| | - Sebastian J Fritsch
- Department of Intensive Care Medicine, University Hospital RWTH Aachen, Aachen, Germany
- Jülich Supercomputing Centre, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - David Konrad
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Hertzberg
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Max Bell
- Department of Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Heleen Rienstra
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | - Cor J Kalkman
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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