Evidence map›Paper›PMID 41910643›Full record

ArticleJournal of anesthesia2026

Automated hemodynamic management system for the prevention of hypotension and cardiac output reduction during general anesthesia: preclinical experimental validation.

Hiroki Matsushita, Takuya Nishikawa, Kazunori Uemura, Kazumasu Sasaki, Yuta Nakamura, Kei Sato, Hidetaka Morita, Kenta Ohba, Toru Kawada, Yasuyuki Kataoka and 2 more

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Article in Journal of anesthesia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Hiroki MatsushitaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan.
Takuya NishikawaDepartment of Research Promotion and Management, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan.
Kazunori UemuraDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan. kuemura@ncvc.go.jp.ORCID http://orcid.org/0000-0003-2900-4702
Kazumasu SasakiAkita Cerebrospinal and Cardiovascular Center, Research Institute for Brain and Blood Vessels, Akita, Japan.
Yuta NakamuraDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan.
Kei SatoDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan.
Hidetaka MoritaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan.
Kenta OhbaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan.
Toru KawadaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan.
Yasuyuki KataokaMedical and Health Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA.
Joe AlexanderMedical and Health Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA.
Keita SakuDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, Suita, Japan.

Funding

Fusion Oriented REsearch for disruptive Science and Technology JPMJPF2018Intramural Research Fund for Cardiovascular Diseases of National Cerebral and Cardiovascular Center 24-B-7Japan Society for the Promotion of Science KAKENHI 22K08222Japan Society for the Promotion of Science KAKENHI 22K12776Japan Society for the Promotion of Science KAKENHI 24K00885Japan Society for the Promotion of Science KAKENHI 24K23422Japan Society for the Promotion of Science KAKENHI 25K12304Japan Society for the Promotion of Science KAKENHI 25K22628
6 · The paper itself

Abstract

purposeIntraoperative hypotension and cardiac output (CO) reduction adversely affect outcomes and require cause-specific treatment against vasodilation and/or hemorrhage. However, tight hemodynamic management increases anesthesiologists' workloads. We aimed to develop an automated hemodynamic management system that maintains arterial pressure (AP) and CO according to the causes, and to experimentally validate the system in anesthetized dogs.

methodsThe system automatically titrates norepinephrine (NE) and fluid to control systemic vascular resistance and stressed blood volume, respectively, thereby maintaining AP and CO. Experiment 1 (n = 8) examined whether the system could maintain hemodynamics during 80 min of induced hemodynamic perturbations-high-dose sodium nitroprusside infusion (vasodilation) and 30 mL/kg blood withdrawal (hemorrhage)-while monitoring CO invasively but precisely. Experiment 2 (n = 12) compared the system's hemodynamic control with manual control by eight board-certified anesthesiologists during the 80-min perturbation. To improve clinical feasibility, a minimally invasive CO monitor utilizing machine learning technology was integrated into the system.

resultsIn Experiment 1, the system significantly improved AP and CO, and reduced hypotension duration (mean AP < 65 mmHg) compared to when the system was deactivated. In Experiment 2, between the system's control and anesthesiologists' control, there were no significant differences in AP, total NE and fluid doses, and hypotension duration. The thermodilution technique confirmed that the system prevented CO from falling below the baseline level during the perturbation. Each anesthesiologist titrated the drugs approximately 40 times, whereas the system required only supervision.

conclusionThe system is potentially an attractive clinical tool to support anesthesiologists in perioperative hemodynamic management.

Indexed as

Automated hemodynamic management systemCardiac output reductionCause-specific treatmentCirculatory equilibrium frameworkIntraoperative hypotension

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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.