Abstract
Partial cystectomy procedures for urinary bladder-related dysfunction involve long recovery periods, during which urodynamic studies (UDS) intermittently assess lower urinary tract function. However, UDS are not patient-friendly, they exhibit user-to-user variability, and they amount to snapshots in time, limiting the ability to collect continuous, longitudinal data. These procedures also pose the risk of catheter-associated urinary tract infections, which can progress to ascending pyelonephritis due to prolonged lower tract manipulation in high-risk patients. Here, we introduce a fully bladder-implantable platform that allows for continuous, real-time measurements of changes in mechanical strain associated with bladder filling and emptying via wireless telemetry, including a wireless bioresorbable strain gauge validated in a benchtop partial cystectomy model. We demonstrate that this system can reproducibly measure real-time changes in a rodent model up to 30 d postimplantation with minimal foreign body response. Studies in a nonhuman primate partial cystectomy model demonstrate concordance of pressure measurements up to 8 wk compared with traditional UDS. These results suggest that our system can be used as a suitable alternative to UDS for long-term postoperative bladder recovery monitoring.
Original language | English (US) |
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Article number | e2400868121 |
Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 121 |
Issue number | 14 |
DOIs | |
State | Published - Apr 2 2024 |
Funding
Support of this work was provided in part by the NIH National Institute of Diabetes and Digestive and Kidney Diseases [NIDDK; R01DK109539 (A.K.S.)] and the National Institute of Biomedical Imaging and Bioengineering [NIBIB; R01EB026572 (G.A.A., A.K.S., and J.A.R.)]. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. A.K.S. would like to acknowledge the Michelon Family and Legacy Healthcare for their generosity. K.K. acknowledges support from the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science, ICT & Future Planning; No. 2021R1F1A106387111, No. 2022R1C1C1010555, No. 2020R1A5A8018367, and BK21). M.-H.S. acknowledges support by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (grant number: HR20C0026). ACKNOWLEDGMENTS. Support of this work was provided in part by the NIH National Institute of Diabetes and Digestive and Kidney Diseases [NIDDK; R01DK109539 (A.K.S.)] and the National Institute of Biomedical Imaging and Bioengineering [NIBIB; R01EB026572 (G.A.A., A.K.S., and J.A.R.)]. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. A.K.S. would like to acknowledge the Michelon Family and Legacy Healthcare for their generosity. K.K. acknowledges support from the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP; Ministry of Science,ICT& Future Planning; No.2021R1F1A106387111,No. 2022R1C1C1010555,No.2020R1A5A8018367,and BK21).M.-H.S.acknowledges support by a grant from the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health and Welfare, Republic of Korea (grant number: HR20C0026).
Keywords
- bioelectronics
- bladder
- regeneration
- sensing
- wireless
ASJC Scopus subject areas
- General