Evidence map›Paper›PMID 41452413›Full record

ArticleInternational urology and nephrology2026

Efficacy of controlling external pressure on the lower leg during surgical positioning on preventing rhabdomyolysis and well leg compartment syndrome after robot-assisted radical prostatectomy.

Hiroki Natsuya, Yusuke Hakozaki, Yusuke Kirihana, Tomoyuki Kumekawa, Kei Yaginuma, Syunta Makabe, Masao Kataoka, Yoshiyuki Kojima

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Article in International urology and nephrology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Hiroki NatsuyaDepartments of Urology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan. 728aizu@gmail.com.
Yusuke HakozakiDepartments of Urology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Yusuke KirihanaDepartments of Urology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Tomoyuki KumekawaDepartments of Urology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Kei YaginumaDepartments of Urology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Syunta MakabeDepartments of Urology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Masao KataokaDepartments of Urology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan.
Yoshiyuki KojimaDepartments of Urology, Fukushima Medical University School of Medicine, 1 Hikarigaoka, Fukushima, 960-1295, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePosition-related complications of robot-assisted radical prostatectomy (RARP) include rhabdomyolysis and well leg compartment syndrome (WLCS). This study aimed to explore a method for preventing rhabdomyolysis and WLCS, focusing on external pressure on the lower leg during surgery.

methodsThree hundred patients who underwent RARP performed in the steep Trendelenburg position with a 25-degree head-down tilt between June 2018 and June 2022 were examined. The patients were divided into pressure-controlled and non-pressure-controlled groups. In the pressure-controlled group, external pressure on the lower leg was measured using the Portable Interface Pressure Sensor (Palm Q®) while creating the surgical position. The patient was placed in the required surgical position ensuring that external pressure on the lower leg was maintained below 20 mmHg. In the non-pressure-controlled group, external pressure on the lower leg was not measured. Postoperative outcomes, including creatine kinase (CK) levels and incidence of rhabdomyolysis and WLCS were compared.

resultsCK levels on postoperative days (POD) 1 and 2 were significantly lower in the pressure-controlled group (median: 342 and 352 IU/L, respectively) than in the non-pressure-controlled group (837 and 708 IU/L, respectively) (P < 0.05 for both comparisons). The incidence of rhabdomyolysis was lower in the pressure-controlled group, and no cases of WLCS were observed, in contrast to two cases identified in the non-pressure-controlled group.

conclusionsMaintaining external pressure on the lower legs below 20 mmHg during RARP may contribute to preventing rhabdomyolysis and WLCS after RARP. This method can be applicable to other surgeries performed in the Trendelenburg position.

Indexed as

Compartment SyndromesPatient PositioningPostoperative ComplicationsProstatectomyRhabdomyolysisRobotic Surgical ProceduresAgedHead-Down TiltHumansLegMaleMiddle AgedPressureExternal pressure on the lower legProstate cancerRhabdomyolysisRobot-assisted radical prostatectomyWell leg compartment syndrome

Identifiers

PMID41452413

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.