Evidence map›Paper›PMID 41801281›Full record

Observational studyJournal of clinical monitoring and computing2026

Exploratory clinical trial on the acoustic variability index for predicting fluid responsiveness during hepatectomy.

Woo-Young Seo, Hye-Mee Kwon, Baehun Moon, Hyun-Seok Kim, Kyu-Min Kang, Chang-Hoe Heo, Gil-Chun Park, Ji-Jung Park, Sung-Hoon Kim, In-Gu Jun and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Woo-Young Seo *Biomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea.
Hye-Mee Kwon *Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Brain Korea 21 Project, Seoul, Korea.
Baehun MoonBiomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea.
Hyun-Seok KimDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Brain Korea 21 Project, Seoul, Korea.
Kyu-Min KangDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Brain Korea 21 Project, Seoul, Korea.
Chang-Hoe HeoDepartment of AI research Team, Signal House Co., Ltd, Seoul, Korea.
Gil-Chun ParkDivision of Hepatobiliary Surgery and Liver Transplantation, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Ji-Jung ParkDepartment of Nursing, Asan Medical Center, Seoul, Korea.
Sung-Hoon KimDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Brain Korea 21 Project, Seoul, Korea. shkimans@amc.seoul.kr.
In-Gu JunDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Brain Korea 21 Project, Seoul, Korea.
Jun-Gol SongDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Brain Korea 21 Project, Seoul, Korea.
Gyu-Sam HwangDepartment of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, Brain Korea 21 Project, Seoul, Korea.

Funding

Korea Health Industry Development Institute HR20C0026Ministry of SMEs and Startups RS-2024-00511850National Research Foundation of Korea RS-2021-NR056489
6 · The paper itself

Abstract

The acoustic variability index (AVI), derived from continuous phonocardiographic analysis of heart sounds via an esophageal stethoscope, is a novel minimally invasive method for intraoperative hemodynamic monitoring. We evaluated the ability of AVI to predict fluid responsiveness in patients undergoing hepatectomy and compared its performance with that of the conventional indices. Forty adult patients who underwent hepatectomy were enrolled in this prospective, single-center observational study. After major surgical resection and stabilization, a 500 mL crystalloid fluid challenge was administered. Hemodynamic parameters including AVI, central venous pressure (CVP), stroke volume variation (SVV), and pulse pressure variation (PPV) were recorded before and after volume expansion. Patients with ≥ 10% increase in cardiac output (CO) were defined as responders. Thirty-seven patients were included in the final analysis, of which 12 (32.4%) were classified as responders. After fluid loading, responders showed a significant decrease in AVI (11.4% ± 2.5% to 7.8% ± 2.9%, p = 0.004), while non-responders showed no significant change (7.1% ± 3.2% to 6.3% ± 3.0%, p = 0.356). AVI demonstrated predictive performance comparable to SVV and PPV, with an optimal cutoff of > 9.8% and an area under the receiver operating characteristic curve of 0.873 (95% CI: 0.743–0.967). Real-time intraoperative monitoring of the AVI shows potential as a predictor for fluid responsiveness in patients undergoing hepatectomy. AVI offers a promising, minimally invasive approach for guiding fluid therapy. Further research is warranted to validate its utility in broader surgical populations.

Indexed as

Fluid TherapyHepatectomyMonitoring, IntraoperativeAcousticsAdultAgedBlood PressureCardiac OutputCentral Venous PressureCrystalloid SolutionsFemaleHeart SoundsHemodynamicsHumansMaleMiddle AgedCrystalloid SolutionsAcoustic variability indexCritical CareFluid responsivenessMinimally invasive monitoringPreload index

Identifiers

PMID41801281
PMCPMC13194251

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.