A wireless, implantable bioelectronic system for monitoring urinary bladder function following surgical recovery

膀胱切除术 泌尿系统 泌尿科 膀胱 医学 尿路改道 外科 生物医学工程 膀胱癌 内科学 癌症
作者
Jihye Kim,Matthew I. Bury,Kyeongha Kwon,Jae‐Young Yoo,N. Valeska Halstead,Hee‐Sup Shin,Shupeng Li,Sang Min Won,Min‐Ho Seo,Yunyun Wu,Do Yun Park,Mitali Kini,Jean Won Kwak,Surabhi R. Madhvapathy,Joanna L. Ciatti,Jae Hee Lee,Suyeon Kim,Hanjun Ryu,Kento Yamagishi,Hong‐Joon Yoon,Sung Soo Kwak,Bosung Kim,Yonggang Huang,Lisa Halliday,Earl Y. Cheng,Guillermo A. Ameer,Arun K. Sharma,John A. Rogers
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:121 (14) 被引量:2
标识
DOI:10.1073/pnas.2400868121
摘要

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.

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