Evidence map›Paper›PMID 40450616›Full record

ArticleIntensive care medicine experimental2025

Non-invasive monitoring of microcirculation dynamics in hypovolemic shock: a novel application of diffuse correlation spectroscopy.

Hiroki Matsushita, Koki Kurono, Mikie Nakabayashi, Kei Sato, Hidetaka Morita, Yuki Yoshida, Masafumi Fukumitsu, Kazunori Uemura, Toru Kawada, Masashi Ichinose and 2 more

Abstract read
In one paragraph

Article in Intensive care medicine experimental, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Hiroki MatsushitaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Koki KuronoGraduate School of Science and Technology, Meiji University, Kawasaki, Kanagawa, Japan.
Mikie NakabayashiGraduate School of Science and Technology, Meiji University, Kawasaki, Kanagawa, Japan.
Kei SatoDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Hidetaka MoritaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Yuki YoshidaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Masafumi FukumitsuDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Kazunori UemuraDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Toru KawadaDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan.
Masashi IchinoseHuman Integrative Physiology Laboratory, School of Business Administration, Meiji University, Tokyo, Japan.
Yumie OnoSchool of Science and Technology, Meiji University, Kawasaki, Kanagawa, Japan.
Keita SakuDepartment of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center Research Institute, 6-1 Kishibe-Shimmachi, Suita, Osaka, Japan. saku.keita@ncvc.go.jp.ORCID http://orcid.org/0000-0002-6856-9362

Funding

Japan Agency for Medical Research and Development 24ama121050j0003Japan Agency for Medical Research and Development 24hk0102085h0003Japan Science and Technology Agency JPMJPF2018Japan Society for the Promotion of Science 22K08222Japan Society for the Promotion of Science 23K27978Japan Society for the Promotion of Science 24K00885Japan Society for the Promotion of Science 24K19018Japan Society for the Promotion of Science 24K23449Ministry of Internal Affairs and Communications SCOPE: JP225006004National Cerebral and Cardiovascular Center 24-B-7
6 · The paper itself

Abstract

backgroundMicrocirculatory dysfunction is a poor prognostic indicator for the management of critically ill patients, highlighting the need for the development of appropriate assessment methods. Current microcirculatory parameters are often indirect, invasive, or lack immediacy and continuity, with no standardised markers for critical care. Diffuse correlation spectroscopy (DCS), a near-infrared optical technique, facilitates the non-invasive real-time monitoring of microvascular dynamics via the blood flow index (BFI). However, the relationship between BFI and conventional microcirculatory parameters in hypovolemic shock remains unclear. This study examined the utility of DCS in assessing the microcirculation during hypovolemic shock in a canine model.

methodsSix male beagle dogs underwent controlled blood withdrawal to induce hypovolemic shock, defined as a ≥ 30% decrease in cardiac output (CO) and mean arterial pressure (MAP) < 60 mmHg or systolic arterial pressure (SAP) < 90 mmHg. BFI was measured using a DCS device attached to the skin of the forelimb. From baseline to blood withdrawals followed by transfusions, changes in BFI were compared with microcirculatory parameters, mixed venous oxygen saturation (S

resultsBlood withdrawal resulted in significant reductions in BFI, CO, and radial artery blood flow, with the corresponding deteriorations in the ΔT, S

conclusionsBlood flow index measured by DCS reflects peripheral perfusion changes and is significantly correlated with clinical parameters during blood withdrawal and transfusion, highlighting its potential for non-invasive, continuous microcirculation monitoring in hypovolemic shock.

Indexed as

Blood flow indexDiffuse correlation spectroscopyHypovolemic shockMicrocirculation

Identifiers

PMID40450616
PMCPMC12127257

What Socratic holds

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LicenceCC BY
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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 Socratic graph.