» Articles » PMID: 37197615

Pilot Study of a Wearable Hydration Monitor in Haemodialysis Patients: Haemodialysis Outcomes & Patient Empowerment Study 02

Overview
Journal Digit Biomark
Date 2023 May 17
PMID 37197615
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: We aimed to assess the validity and reproducibility of a wearable hydration device in a cohort of maintenance dialysis patients.

Methods: We conducted a prospective, single-arm observational study on 20 haemodialysis patients between January and June 2021 in a single centre. A prototype wearable infrared spectroscopy device, termed the Sixty device, was worn on the forearm during dialysis sessions and nocturnally. Bioimpedance measurements were performed 4 times using the body composition monitor (BCM) over 3 weeks. Measurements from the Sixty device were compared with the BCM overhydration index (litres) pre- and post-dialysis and with standard haemodialysis parameters.

Results: 12 out of 20 patients had useable data. Mean age was 52 ± 12.4 years. The overall accuracy for predicting pre-dialysis categories of fluid status using Sixty device was 0.55 [K = 0.00; 95% CI: -0.39-0.42]. The accuracy for the prediction of post-dialysis categories of volume status was low [accuracy = 0.34, K = 0.08; 95% CI: -0.13-0.3]. Sixty outputs at the start and end of dialysis were weakly correlated with pre- and post-dialysis weights ( = 0.27 and = 0.27, respectively), as well as weight loss during dialysis ( = 0.31), but not ultrafiltration volume ( = 0.12). There was no difference between the change in Sixty readings overnight and the change in Sixty readings during dialysis (mean difference 0.09 ± 1.5 kg), [(39) = 0.38, = 0.71].

Conclusion: A prototype wearable infrared spectroscopy device was unable to accurately assess changes in fluid status during or between dialysis sessions. In the future, hardware development and advances in photonics may enable the tracking of interdialytic fluid status.

References
1.
Cozzolino M, Mangano M, Stucchi A, Ciceri P, Conte F, Galassi A . Cardiovascular disease in dialysis patients. Nephrol Dial Transplant. 2018; 33(suppl_3):iii28-iii34. PMC: 6168816. DOI: 10.1093/ndt/gfy174. View

2.
Stehlik J, Schmalfuss C, Bozkurt B, Nativi-Nicolau J, Wohlfahrt P, Wegerich S . Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study. Circ Heart Fail. 2020; 13(3):e006513. DOI: 10.1161/CIRCHEARTFAILURE.119.006513. View

3.
Liaqat S, Dashtipour K, Rizwan A, Usman M, Shah S, Arshad K . Personalized wearable electrodermal sensing-based human skin hydration level detection for sports, health and wellbeing. Sci Rep. 2022; 12(1):3715. PMC: 8904452. DOI: 10.1038/s41598-022-07754-8. View

4.
Schoutteten M, Vranken J, Lee S, Smeets C, De Canniere H, Van Hoof C . Towards personalized fluid monitoring in haemodialysis patients: thoracic bioimpedance signal shows strong correlation with fluid changes, a cohort study. BMC Nephrol. 2020; 21(1):264. PMC: 7353684. DOI: 10.1186/s12882-020-01922-6. View

5.
Mamouei M, Qassem M, Razban M, Kyriacou P . Measurement of dermal water content using a multi-wavelength optical sensor. Annu Int Conf IEEE Eng Med Biol Soc. 2020; 2020:4353-4356. DOI: 10.1109/EMBC44109.2020.9176619. View