Effects of remote ischemic preconditioning on renal protection in patients undergoing robot-assisted laparoscopic partial nephrectomy.


Journal

Journal of robotic surgery
ISSN: 1863-2491
Titre abrégé: J Robot Surg
Pays: England
ID NLM: 101300401

Informations de publication

Date de publication:
Oct 2023
Historique:
received: 29 03 2023
accepted: 13 05 2023
medline: 11 9 2023
pubmed: 22 5 2023
entrez: 22 5 2023
Statut: ppublish

Résumé

We aimed to evaluate the renoprotective effects of remote ischemic preconditioning (RIPC) in patients undergoing robot-assisted laparoscopic partial nephrectomy (RAPN). Data from 59 patients with solitary renal tumors who underwent RAPN with RIPC comprising three cycles of 5-min inflation to 200 mmHg of a blood pressure cuff applied to one lower limb followed by 5-min reperfusion by cuff deflation, from 2018 to 2020 were analyzed. Patients who underwent RAPN for solitary renal tumors without RIPC between 2018 and 2020 were selected as controls. The postoperative estimated glomerular filtration rate (eGFR) at the nadir during hospitalization and the percentage change from baseline were compared using propensity score matching analysis. We performed a sensitivity analysis with imputations for missing postoperative renal function data weighted by the inverse probability of the data being observed. Of the 59 patients with RIPC and 482 patients without RIPC, 53 each were matched based on propensity scores. No significant differences in the postoperative eGFR in mL/min/1.73 m

Identifiants

pubmed: 37213027
doi: 10.1007/s11701-023-01616-9
pii: 10.1007/s11701-023-01616-9
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2081-2087

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

Références

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Auteurs

Kenji Omae (K)

Department of Innovative Research and Education for Clinicians and Trainees (DiRECT), Fukushima Medical University Hospital, 1 Hikarigaoka, Fukushima, 960-1295, Japan. omae416@fmu.ac.jp.
Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan. omae416@fmu.ac.jp.

Tsunenori Kondo (T)

Department of Urology, Tokyo Women's Medical University Adachi Medical Center, Tokyo, Japan.

Shingo Fukuma (S)

Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.

Tatsuyoshi Ikenoue (T)

Human Health Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Data Science and AI Innovation Research Promotion Center, Shiga University, Hikone, Japan.

Daisuke Toki (D)

Department of Urology, Tokyo Women's Medical University Adachi Medical Center, Tokyo, Japan.

Hidekazu Tachibana (H)

Department of Urology, Tokyo Women's Medical University, Tokyo, Japan.
Department of Urology, Saiseikai Kazo Hospital, Kazo, Japan.

Toshihide Horiuchi (T)

Department of Urology, Tokyo Women's Medical University Adachi Medical Center, Tokyo, Japan.

Ryo Ishiyama (R)

Department of Urology, Tokyo Women's Medical University, Tokyo, Japan.

Maki Yoshino (M)

Department of Urology, Tokyo Women's Medical University, Tokyo, Japan.

Yudai Ishiyama (Y)

Department of Urology, Tokyo Women's Medical University, Tokyo, Japan.
Department of Urology, Toda Chuo General Hospital, Toda, Japan.

Shunichi Fukuhara (S)

Section of Clinical Epidemiology, Department of Community Medicine, Kyoto University, Kyoto, Japan.
Department of Health Policy Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Kazunari Tanabe (K)

Robotic Surgery/Organ Transplant Center, Shonan Kamakura General Hospital, Kamakura, Japan.

Toshio Takagi (T)

Department of Urology, Tokyo Women's Medical University, Tokyo, Japan.

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