Evidence map›Paper›PMID 40405511›Full record

ArticleAcute and critical care2025

Clinical decision guidance by an automated, brachial cuff-based cardiac output assessment in patients with shock under treatment: a pilot study in Athens, Greece.

Dimitrios Xanthis, Panagiotis Kanatas, Dimitrios Mouziouras, Antonios A Argyris, Pavlos Vernikos, Georgia Mastakoura, Elpida Athanasopoulou, Theodore G Papaioannou, Athanase D Protogerou

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Article in Acute and critical care, 2025. 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.

Dimitrios XanthisCardiovascular Prevention and Research Unit, Clinic and Laboratory of Pathophysiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Panagiotis KanatasCardiovascular Prevention and Research Unit, Clinic and Laboratory of Pathophysiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Dimitrios MouziourasCardiovascular Prevention and Research Unit, Clinic and Laboratory of Pathophysiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Antonios A ArgyrisCardiovascular Prevention and Research Unit, Clinic and Laboratory of Pathophysiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Pavlos VernikosIntensive Care Unit, Laiko General Hospital, Athens, Greece.
Georgia MastakouraIntensive Care Unit, Laiko General Hospital, Athens, Greece.
Elpida AthanasopoulouCardiovascular Prevention and Research Unit, Clinic and Laboratory of Pathophysiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Theodore G PapaioannouBiomedical Engineering Unit, First Department of Cardiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Athanase D ProtogerouCardiovascular Prevention and Research Unit, Clinic and Laboratory of Pathophysiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiac output (CO) estimation in patients in intensive care units (ICUs) by a non-invasive, automated, oscillometric, cuff-based apparatus (Mobil-O-Graph [MG]) is reproducible with acceptable accuracy versus thermodilution. In this pilot study, we tested the hypothesis that clinical decisions based on the MG device are in agreement with those based on invasive measurements using a Swan-Ganz catheter (SGC).

methodsHemodynamic monitoring using an SGC and an MG was performed on 20 consenting critically ill patients in shock and under treatment, hospitalized in ICU. Retrospectively, three ICU physicians were asked to determine the need for blood transfusion, inotropes, fluids, diuretics, oxygen, and vasoconstrictive agents. Decisions (defined as "need for action" or "no action") were based: (i) on SGC-acquired data and standard ICU monitoring (SIM); (ii) on MG-acquired data and SIM; (iii) SIM only. The decisions were compared using Cohen's kappa agreement coefficient and Wilcoxon's nonparametric test.

resultsThe overall number of decisions, as well as the subanalysis of "need for action" decisions, based either on information from an SGC or MG, were comparable. The significant positive kappa agreement coefficients indicated moderate to strong agreement. MG-derived decisions agreed with SGC-derived decisions to a significantly higher degree compared with SIM-based decisions.

conclusionsClinical decisions in the ICU setting based on MG data were in acceptable agreement with SGC-based decisions. Larger studies are required to confirm this finding. MG devices may provide a simple, operator-independent, low-cost, first-line bedside method for simultaneous continuous monitoring of blood pressure and CO levels in critically ill patients outside the ICU.

Indexed as

brachial cuffcritically illintensive care unitMobil-O-graphnon-invasive hemodynamic monitoringpulse wave analysisshock

Identifiers

PMID40405511
PMCPMC12151725

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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.