Evidence map›Paper›PMID 41864954›Full record

ArticleWorld journal of emergency surgery : WJES2026

Continuous monitoring of intra-abdominal pressure: cumulative pressure exposure predicts early acute kidney injury in animal model.

Chien-Hung Liao, Chih-Chi Chen, Yu-Hao Wang, Marcelo A F Ribeiro, Wei-Cheng Lin, Dong-Ru Ho, David A Spain, Chi-Tung Cheng

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In one paragraph

Article in World journal of emergency surgery : WJES, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Chien-Hung Liao *Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Xin Street, Kweishan District, Taoyuan, 33328, Taiwan. surgymet@gmail.com.ORCID http://orcid.org/0000-0003-2812-9773
Chih-Chi Chen *Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital, Chang Gung University, Taoyuan, Taiwan.
Yu-Hao WangDepartment of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Xin Street, Kweishan District, Taoyuan, 33328, Taiwan.
Marcelo A F RibeiroR Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Wei-Cheng LinDepartment of Electrical Engineering, Chang Gung University, Taoyuan, Taiwan.
Dong-Ru HoDepartment of Urology, Chang Gung Memorial Hospital, National Tsing Hua University, JiaYi, Taiwan. redoxdrh@gmail.com.ORCID http://orcid.org/0000-0002-1805-0538
David A SpainDepartment of Surgery, Stanford University, Stanford, CA, USA.
Chi-Tung ChengDepartment of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Chang Gung University, 5, Fu-Xin Street, Kweishan District, Taoyuan, 33328, Taiwan.

Funding

Chiayi Chang Gung Memorial Hospital CMRPG6N0221National Science and Technology Council NSTC 113-2314-B-182A-070 -MY3
6 · The paper itself

Abstract

backgroundElevated intra-abdominal pressure (IAP) causes organ dysfunction, particularly acute kidney injury (AKI). Current intermittent IAP monitoring methods are inadequate for capturing the dynamic fluctuations. We hypothesize that the cumulative exposure to elevated IAP over time is a predictor of organ injury.

methodsWe evaluated the feasibility of a novel capsular sensor (PressureDOT, PDT) for continuous IAP measurement in six anesthetized porcine subjects. Controlled intra-abdominal hypertension (IAH) was induced using progressive CO

resultsContinuous and high-resolution IAP monitoring was achieved in all subjects. Exposure to IAH significantly increased mean serum Cr (1.69 ± 0.19 to 2.16 ± 0.31 mg/dL; p = 0.01) and reduced eGFR (41.33 to 25.00 mL/min; p < 0.001). A linear correlation was demonstrated between increasing cIAPe and rising Cr ratio (R

conclusionThe use of continuous IAP monitoring by PDT is feasible in this controlled porcine model. Our findings suggest that cIAPe may be a quantifiable marker associated with early renal impairment. Although early detection of physiological renal impairment consistent with early AKI criteria is promising, validation in larger animal studies and future human trials is necessary to determine clinical relevance.

Indexed as

Acute Kidney InjuryIntra-Abdominal HypertensionPressureAnimalsArea Under CurveCreatinineDisease Models, AnimalFemaleGlomerular Filtration RateMonitoring, PhysiologicSwineCreatinineAbdominal compartment syndromeAcute kidney injuryCapsular sensorDigital healthIntraabdominal pressure

Identifiers

PMID41864954
PMCPMC13126953

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Registered trials

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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.