Evidence map›Paper›PMID 39050481›Full record

ArticleFrontiers in physiology2024

Validation of formulae predicting stroke volume from arterial pressure: with particular emphasis on upright individuals in hot ambient conditions.

Lydia Tsoutsoubi, Leonidas G Ioannou, Urša Ciuha, Jason T Fisher, Carmen Possnig, Lydia L Simpson, Andreas D Flouris, Justin Lawley, Igor B Mekjavic

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Article in Frontiers in physiology, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Lydia TsoutsoubiDepartment of Automatics, Biocybernetics and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia.
Leonidas G IoannouDepartment of Automatics, Biocybernetics and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia.
Urša CiuhaDepartment of Automatics, Biocybernetics and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia.
Jason T FisherDepartment of Automatics, Biocybernetics and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia.
Carmen PossnigDepartment Sport Science, University of Innsbruck, Innsbruck, Austria.
Lydia L SimpsonDepartment Sport Science, University of Innsbruck, Innsbruck, Austria.
Andreas D FlourisFAME Laboratory, Department of Physical Education and Sport Science, University of Thessaly, Trikala, Greece.
Justin LawleyDepartment Sport Science, University of Innsbruck, Innsbruck, Austria.
Igor B MekjavicDepartment of Automatics, Biocybernetics and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: During heatwaves, it is important to monitor workers' cardiovascular health since 35% of those working in hot environments experience symptoms of heat strain. Wearable technology has been popularized for monitoring heart rate (HR) during recreational activities, but it can also be used to monitor occupational heat strain based on core and skin temperatures and HR. To our knowledge, no devices estimate the cardiovascular strain directly based on stroke volume (SV) or cardiac output (CO). In addition to the hardware, there are limitations regarding the lack of suitable algorithms that would provide such an index based on relevant physiological responses. The validation of the formulae already existing in literature was the principle aim of the present study. Methods: We monitored the cardiovascular responses of our participants to a supine and 60° head-up tilt at the same time each day. During the test, we measured blood pressure derived by finger photoplethysmography, which also provided beat-by-beat measures of SV and CO. Afterwards, we compared the SV derived from the photoplethysmography with the one calculated with the different equations that already exist in literature. Results: The evaluation of the formulae was based on comparing the error of prediction. This residual analysis compared the sum of the squared residuals generated by each formula using the same data set. Conclusion: Our findings suggest that estimating SV with existing formulae is feasible, showing a good correlation and a relatively small bias. Thus, simply measuring workers' blood pressure during breaks could estimate their cardiac strain.

Indexed as

blood pressurecardiac indexcardiac outputheart rateheatheatwave

Identifiers

PMID39050481
PMCPMC11266312

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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.