Evidence map›Paper›PMID 41779074›Full record

ArticleIntensive care medicine experimental2026

Simple and reliable method for predicting extracorporeal membrane oxygenation flow rates and circuit pressures.

Kazuhiro Takahashi, Seiga Takahashi, Yusuke Takei, Yu Kaiho, Takahiro Imaizumi, Kenji Kikuchi, Takuji Ishikawa, Yutaka Ejima, Masanori Yamauchi

Abstract read
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Article in Intensive care medicine experimental, 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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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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kazuhiro TakahashiDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan. kazuhiro.takahashi.c4@tohoku.ac.jp.ORCID http://orcid.org/0000-0003-0297-9809
Seiga TakahashiDivision of Clinical Engineering, Clinical Technology, Tohoku University Hospital, Sendai, Japan.
Yusuke TakeiDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.
Yu KaihoDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.
Takahiro ImaizumiDepartment of Clinical Research Education, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kenji KikuchiDepartment of Finemechanics, Graduate School of Engineering, Tohoku University, Sendai, Japan.
Takuji IshikawaGraduate School of Biomedical Engineering, Tohoku University, Sendai, Japan.
Yutaka EjimaDivision of Surgical Center and Supply, Sterilization, Tohoku University Hospital, Sendai, Japan.
Masanori YamauchiDepartment of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, 1-1 Seiryo-Machi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVenovenous extracorporeal membrane oxygenation (ECMO) is essential for patients with severe respiratory failure who do not respond to conventional mechanical ventilation. Adequate ECMO flow and safe circuit pressure are critical; however, cannula selection, which has a great impact on these factors, is often based on empirical judgment. This study aimed to develop a simple predictive method based on fluid dynamics for estimating ECMO flow rate and circuit pressures (P1: pre-pump, P2: pre-oxygenator, and P3: post-oxygenator). This experimental predictive model study compared the calculated and measured ECMO parameters across 36 combinations of cannula sizes, pump speeds, and bed heights. A laboratory-based ECMO circuit model was assembled with various drainage and return cannulas, an oxygenator, tubing, and a centrifugal pump. The circuit was primed with a 33% glycerin solution and tested across the 36 combinations. A four-step prediction method was applied: (1) modeling the pressure-flow relationships of ECMO components and the pump using manufacturer data; (2) identifying the expected flow rate by locating the intersection of the total circuit resistance and pump output curves; (3) sequentially calculating pressure drops across the circuit; and (4) adjusting pressures based on bed height.

resultsThe predicted flow rate and circuit pressure values were compared to experimental measurements across the 36 combinations. The calculated and measured values showed strong agreement (R

conclusionsOur newly developed method reliably predicts the ECMO flow rate and circuit pressure. Hence, it can be considered a valuable tool for preemptively selecting the optimal cannula size for ECMO, thus improving patient safety and circuit management. Furthermore, it may be a valuable educational tool, making complex hemodynamic concepts more intuitive for trainees.

Indexed as

CannulationExtracorporeal circulationExtracorporeal membrane oxygenationFluid dynamicsVenovenous ECMO

Identifiers

PMID41779074
PMCPMC12960856

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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.