Evidence map›Paper›PMID 30687409›Full record

ArticleComputational and mathematical methods in medicine2018

A Dynamic Model of Rescuer Parameters for Optimizing Blood Gas Delivery during Cardiopulmonary Resuscitation.

Ali Jalali, Allan F Simpao, Jorge A Gálvez, Robert A Berg, Vinay M Nadkarni, Chandrasekhar Nataraj

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In one paragraph

Article in Computational and mathematical methods in medicine, 2018. 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

6 authors.

Ali JalaliHealth Informatics Core, Johns Hopkins All Children's Hospital, 501 6th Avenue South, St. Petersburg, FL 33701, USA.ORCID 0000-0001-9894-3071
Allan F SimpaoDepartment of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA.ORCID 0000-0001-8871-2579
Jorge A GálvezDepartment of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA.
Robert A BergDepartment of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA.
Vinay M NadkarniDepartment of Anesthesiology & Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine at the University of Pennsylvania, 3401 Civic Center Blvd., Philadelphia, PA 19104, USA.
Chandrasekhar NatarajVillanova Center for Analytics of Dynamic Systems, Department of Mechanical Engineering, Villanova University, Villanova, PA 19085, USA.ORCID 0000-0002-5816-3932

Funding

Augmented Physiologic Monitoring to Predict Brain Injury in Infants with CHDR01NS072338 · NINDS · CHILDREN'S HOSP OF PHILADELPHIA · PI LICHT, DANIEL JACQUES · 2011 to 2015
$1.7M
NINDS NIH HHS R01 NS072338
6 · The paper itself

Abstract

introductionThe quality of cardiopulmonary resuscitation (CPR) has been shown to impact patient outcomes. However, post-CPR morbidity and mortality remain high, and CPR optimization is an area of active research. One approach to optimizing CPR involves establishing reliable CPR performance measures and then modifying CPR parameters, such as compressions and ventilator breaths, to enhance these measures. We aimed to define a reliable CPR performance measure, optimize the CPR performance based on the defined measure and design a dynamically optimized scheme that varies CPR parameters to optimize CPR performance. MATERIALS AND

methodsWe selected total blood gas delivery (systemic oxygen delivery and carbon dioxide delivery to the lungs) as an objective function for maximization. CPR parameters were divided into three categories: rescuer dependent, patient dependent, and constant parameters. Two optimization schemes were developed using simulated annealing method: a global optimization scheme and a sequential optimization scheme. RESULTS AND DISCUSSION: Variations of CPR parameters over CPR sequences (cycles) were analyzed. Across all patient groups, the sequential optimization scheme resulted in significant enhancement in the effectiveness of the CPR procedure when compared to the global optimization scheme.

conclusionsOur study illustrates the potential benefit of considering dynamic changes in rescuer-dependent parameters during CPR in order to improve performance. The advantage of the sequential optimization technique stemmed from its dynamically adapting effect. Our CPR optimization findings suggest that as CPR progresses, the compression to ventilation ratio should decrease, and the sequential optimization technique can potentially improve CPR performance. Validation

Indexed as

Blood Gas AnalysisCarbon DioxideCardiopulmonary ResuscitationHumansLungModels, BiologicalModels, StatisticalOxygenRespirationRespiratory TransportTreatment OutcomeCarbon DioxideOxygen

Identifiers

PMID30687409
PMCPMC6305043

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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.