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      Reliability of transcardiopulmonary thermodilution cardiac output measurement in experimental aortic valve insufficiency

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          Abstract

          Background

          Monitoring cardiac output (CO) is important to optimize hemodynamic function in critically ill patients. The prevalence of aortic valve insufficiency (AI) is rising in the aging population. However, reliability of CO monitoring techniques in AI is unknown. The aim of this study was to investigate the impact of AI on accuracy, precision, and trending ability of transcardiopulmonary thermodilution-derived CO TCPTD in comparison with pulmonary artery catheter thermodilution CO PAC.

          Methods

          Sixteen anesthetized domestic pigs were subjected to serial simultaneous measurements of CO PAC and CO TCPTD. In a novel experimental model, AI was induced by retraction of an expanded Dormia basket in the aortic valve annulus. The Dormia basket was delivered via a Judkins catheter guided by substernal epicardial echocardiography. High (HPC), moderate (MPC) and low cardiac preload conditions (LPC) were induced by fluid unloading (20 ml kg -1 blood withdrawal) and loading (subsequent retransfusion of the shed blood and additional infusion of 20 ml kg -1 hydroxyethyl starch). Within each preload condition CO was measured before and after the onset of AI. For statistical analysis, we used a mixed model analysis of variance, Bland-Altman analysis, the percentage error and concordance analysis.

          Results

          Experimental AI had a mean regurgitant volume of 33.6 ± 12.0 ml and regurgitant fraction of 42.9 ± 12.6%. The percentage error between CO TCPTD and CO PAC during competent valve function and after induction of substantial AI was: HPC 17.7% vs. 20.0%, MPC 20.5% vs. 26.1%, LPC 26.5% vs. 28.1% (pooled data: 22.5% vs. 24.1%). The ability to trend CO-changes induced by fluid loading and unloading did not differ between baseline and AI (concordance rate 95.8% during both conditions).

          Conclusion

          Despite substantial AI, transcardiopulmonary thermodilution reliably measured CO under various cardiac preload conditions with a good ability to trend CO changes in a porcine model. CO TCPTD and CO PAC were interchangeable in substantial AI.

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          Most cited references24

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          Goal-directed therapy in cardiac surgery: a systematic review and meta-analysis.

          Perioperative mortality after cardiac surgery has decreased in recent years although postoperative morbidity is still significant. Although there is evidence that perioperative goal-directed haemodynamic therapy (GDT) may reduce surgical mortality and morbidity in non-cardiac surgical patients, the data are less clear after cardiac surgery. The objective of this review is to perform a meta-analysis on the effects of perioperative GDT on mortality, morbidity, and length of hospital stay in cardiac surgical patients. We conducted a systematic review using Medline, EMBASE, and the Cochrane Controlled Clinical Trials Register. Additional sources were sought from experts. The inclusion criteria were randomized controlled trials, mortality reported as an outcome, pre-emptive haemodynamic intervention, and cardiac surgical population. Included studies were examined in full and subjected to quantifiable analysis, subgroup analysis, and sensitivity analysis where possible. Data synthesis was obtained by using odds ratio (OR) and mean difference (MD) for continuous data with 95% confidence interval (CI) utilizing a random-effects model. From 4986 potential studies, 5 met all the inclusion criteria (699 patients). The quantitative analysis showed that the use of GDT reduced the postoperative complication rate (OR 0.33, 95% CI 0.15-0.73; P=0,006) and hospital length of stay (MD -2.44, 95% CI -4.03 to -0.84; P=0,003). There was no significant reduction in mortality. The use of pre-emptive GDT in cardiac surgery reduces morbidity and hospital length of stay.
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            Energy loss in the left ventricle obtained by vector flow mapping as a new quantitative measure of severity of aortic regurgitation: a combined experimental and clinical study.

            In aortic regurgitation (AR), energy loss (EL) produced by inefficient turbulent flow may be a burden to the heart predicting decompensation. We attempted to quantify EL in AR induced in an acute dog model and in patients with chronic AR using novel echocardiographic method vector flow mapping (VFM).
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              Measurement of cardiac output: a comparison between transpulmonary thermodilution and uncalibrated pulse contour analysis.

              Recently, continuous monitoring of cardiac output (CO) based on pulse contour analysis (Vigileo) has been introduced into practice. In this clinical study, we evaluated the accuracy of this system by comparing it with the transpulmonary thermodilution technique (TPID) in septic patients. We studied 24 mechanically ventilated patients with septic shock (16 male, 8 female, age 26-77 yr) receiving treatment with norepinephrine who for clinical indication underwent haemodynamic monitoring by the transpulmonary thermodilution technique using a PiCCO plus system (Pulsion Medical Systems, Munich, Germany). In parallel, arterial pulse contour was applied using the femoral arterial pressure curve (FloTrac pressure sensor, Vigileo monitor, Edwards Lifesciences, Irvine, USA). After baseline measurement, mean arterial pressure was elevated by increasing norepinephrine dosage, and CO was measured again before mean arterial pressure was reduced back to baseline levels. Fluid status and ventilator settings remained unchanged throughout. At each time point, CO by transpulmonary thermodilution was calculated from three central venous bolus injections of 15 ml of saline (<8 degrees C). Linear regression and the Bland-Altman method were used for statistical analysis. Overall, CO was 6.7 (sd 1.8) (3.2-10.1) litre min(-1) for CO(TPID) and 6.2 (2.4) (3.0-17.6) litre min(-1) for CO(Vigileo((R))). Linear regression revealed: CO(Vigileo) = 1.54 + 0.72 x CO(TPID) litre min(-1), r(2) = 0.26 (P < 0.0001). Mean bias between techniques [CO(TPID)-CO(Vigileo)] was 0.5 litre min(-1) (SD 2.3 litre min(-1)). Correlation coefficients at the three time points were not significantly different from each other. Pulse contour analysis-derived CO (Vigileo system) underestimates CO(TPID) and is not as reliable as transpulmonary thermodilution in septic patients.
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                Author and article information

                Contributors
                Role: Formal analysisRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: InvestigationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Resources
                Role: InvestigationRole: Resources
                Role: InvestigationRole: Resources
                Role: Formal analysisRole: ValidationRole: Visualization
                Role: InvestigationRole: Resources
                Role: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 October 2017
                2017
                : 12
                : 10
                : e0186481
                Affiliations
                [1 ] Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
                [2 ] Department of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
                Kurume University School of Medicine, JAPAN
                Author notes

                Competing Interests: I have read the journal's policy and the authors of this manuscript have the following competing interests: CJT and JCK received honoraria for lectures from Maquet (Rastatt, Germany). DAR is a member of the Medical Advisory Board of Pulsion Medical Systems (Feldkirchen, Germany). MSG received the “Intelligent Monitoring Award” from the European Society of Intensive Care Medicine in 2008 for the research concept. This does not alter our adherence to PLOS ONE policies on sharing data and materials. The remaining authors declare that they have no competing interests.

                Author information
                http://orcid.org/0000-0001-5295-2925
                Article
                PONE-D-17-23044
                10.1371/journal.pone.0186481
                5648193
                29049339
                98be22fe-7cc6-499f-a08f-f24d382bb16c
                © 2017 Petzoldt et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 16 June 2017
                : 2 October 2017
                Page count
                Figures: 3, Tables: 2, Pages: 13
                Funding
                The study was funded solely by institutional sources. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Anatomy
                Cardiovascular Anatomy
                Heart
                Aortic Valve
                Medicine and Health Sciences
                Anatomy
                Cardiovascular Anatomy
                Heart
                Aortic Valve
                Medicine and Health Sciences
                Hematology
                Hemodynamics
                Biology and Life Sciences
                Biotechnology
                Medical Devices and Equipment
                Catheters
                Medicine and Health Sciences
                Medical Devices and Equipment
                Catheters
                Research and Analysis Methods
                Experimental Organism Systems
                Animal Models
                Pig Models
                Biology and Life Sciences
                Anatomy
                Cardiovascular Anatomy
                Blood Vessels
                Arteries
                Pulmonary Arteries
                Medicine and Health Sciences
                Anatomy
                Cardiovascular Anatomy
                Blood Vessels
                Arteries
                Pulmonary Arteries
                Medicine and Health Sciences
                Cardiology
                Cardiac Output
                Medicine and Health Sciences
                Diagnostic Medicine
                Diagnostic Radiology
                Ultrasound Imaging
                Echocardiography
                Research and Analysis Methods
                Imaging Techniques
                Diagnostic Radiology
                Ultrasound Imaging
                Echocardiography
                Medicine and Health Sciences
                Radiology and Imaging
                Diagnostic Radiology
                Ultrasound Imaging
                Echocardiography
                Medicine and Health Sciences
                Vascular Medicine
                Blood Pressure
                Custom metadata
                All relevant data are within the paper.

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