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Dervishi A. A multimodal stacked ensemble model for cardiac output prediction utilizing cardiorespiratory interactions during general anesthesia. Sci Rep 2024; 14:7478. [PMID: 38553509 PMCID: PMC10980739 DOI: 10.1038/s41598-024-57971-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Accepted: 03/23/2024] [Indexed: 04/02/2024] Open
Abstract
This study examined the possibility of estimating cardiac output (CO) using a multimodal stacking model that utilizes cardiopulmonary interactions during general anesthesia and outlined a retrospective application of machine learning regression model to a pre-collected dataset. The data of 469 adult patients (obtained from VitalDB) with normal pulmonary function tests who underwent general anesthesia were analyzed. The hemodynamic data in this study included non-invasive blood pressure, plethysmographic heart rate, and SpO2. CO was recorded using Vigileo and EV1000 (pulse contour technique devices). Respiratory data included mechanical ventilation parameters and end-tidal CO2 levels. A generalized linear regression model was used as the metalearner for the multimodal stacking ensemble method. Random forest, generalized linear regression, gradient boosting machine, and XGBoost were used as base learners. A Bland-Altman plot revealed that the multimodal stacked ensemble model for CO prediction from 327 patients had a bias of - 0.001 L/min and - 0.271% when calculating the percentage of difference using the EV1000 device. Agreement of model CO prediction and measured Vigileo CO in 142 patients reported a bias of - 0.01 and - 0.333%. Overall, this model predicts CO compared to data obtained by the pulse contour technique CO monitors with good agreement.
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Affiliation(s)
- Albion Dervishi
- Anaesthesiology and Intensive Care Medicine, Medius CLINIC NÜRTINGEN-Academic Teaching Hospital of the University of Tübingen, Auf dem Säer 1, 72622, Nürtingen, Germany.
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Magnúsdóttir SO, Simonsen C, Rasmussen BS, Lund PE, Kjaergaard B. Continuous cardiac output measured with a Swan-Ganz catheter reacts too slowly in animal experiments with sudden circulatory failure. Animal Model Exp Med 2022; 5:258-265. [PMID: 35666028 PMCID: PMC9240745 DOI: 10.1002/ame2.12235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/18/2022] [Indexed: 11/15/2022] Open
Abstract
Background In many animal experiments, it is vital to detect sudden changes in cardiac output (CO). This porcine study compared CO that was measured with a Swan‐Ganz pulmonary catheter with the gold standard (which was a transit‐time flow probe around the pulmonary artery) during interventions that caused hemodynamic instability. Methods In one series, 7 pigs were exposed to sudden changes in CO. In another series, 9 pigs experienced more prolonged changes in CO. All the pigs had a Swan‐Ganz catheter placed into the pulmonary artery and a flow probe around the pulmonary artery. Adrenaline infusion and controlled hemorrhage were used to increase and decrease CO, respectively. The measurements of CO before and after each intervention were compared for correlation, agreement, and the time delay that it took each method to detect at least a 30% change in CO. A Bland–Altman test was used to identify correlations and agreements between the methods. Results In the first series, there was a delay of 5–7 min for the Swan Ganz catheter to register a 30% change in cardiac output, compared with the flow probe. However, during prolonged changes in CO in the second series, there was a good correlation between the 2 methods. Mixed venous oxygen saturation reacted faster to changes than did CO; both were measured via the Swan‐Ganz catheter. Conclusions In many animal studies, the use of Swan‐Ganz catheters is suitable; however, in experiments with sudden hemodynamic instability, the flow probe is the most advantageous method for measuring CO.
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Affiliation(s)
- Sigríður Olga Magnúsdóttir
- Biomedical Research Laboratory, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Carsten Simonsen
- Department of Cardiothoracic Surgery, Aalborg University Hospital, Aalborg, Denmark
| | - Bodil Steen Rasmussen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Department of Anesthesia and Intensive Care, Aalborg University Hospital, Aalborg, Denmark
| | - Peter Enemark Lund
- Unit of Clinical Biostatistics, Aalborg University Hospital, Aalborg, Denmark
| | - Benedict Kjaergaard
- Biomedical Research Laboratory, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Department of Cardiothoracic Surgery, Aalborg University Hospital, Aalborg, Denmark
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Estimation of Stroke Volume Variance from Arterial Blood Pressure: Using a 1-D Convolutional Neural Network. SENSORS 2021; 21:s21155130. [PMID: 34372366 PMCID: PMC8347322 DOI: 10.3390/s21155130] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/26/2021] [Accepted: 07/27/2021] [Indexed: 01/18/2023]
Abstract
BACKGROUND We aimed to create a novel model using a deep learning method to estimate stroke volume variation (SVV), a widely used predictor of fluid responsiveness, from arterial blood pressure waveform (ABPW). METHODS In total, 557 patients and 8,512,564 SVV datasets were collected and were divided into three groups: training, validation, and test. Data was composed of 10 s of ABPW and corresponding SVV data recorded every 2 s. We built a convolutional neural network (CNN) model to estimate SVV from the ABPW with pre-existing commercialized model (EV1000) as a reference. We applied pre-processing, multichannel, and dimension reduction to improve the CNN model with diversified inputs. RESULTS Our CNN model showed an acceptable performance with sample data (r = 0.91, MSE = 6.92). Diversification of inputs, such as normalization, frequency, and slope of ABPW significantly improved the model correlation (r = 0.95), lowered mean squared error (MSE = 2.13), and resulted in a high concordance rate (96.26%) with the SVV from the commercialized model. CONCLUSIONS We developed a new CNN deep-learning model to estimate SVV. Our CNN model seems to be a viable alternative when the necessary medical device is not available, thereby allowing a wider range of application and resulting in optimal patient management.
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Lopez CN, Sulaica EM, Donahue KR, Wanat MA. Updates in Hemodynamic Monitoring: A Review for Pharmacists. J Pharm Pract 2021; 35:762-768. [PMID: 33769132 DOI: 10.1177/08971900211003436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Vital signs are regularly monitored in hospitalized patients. In the intensive care unit (ICU), traditional non-invasive blood pressure monitoring and telemetry may not provide enough information to determine the etiology of hemodynamic instability or guide intervention. Arterial catheters remain the gold-standard for continuous blood pressure monitoring and are commonly used in ICU patients. Pulmonary artery catheters and central venous catheters are beneficial in select patient populations and provide more advanced and specific information about a patient's hemodynamics. However, neither are benign and can increase risk of complications such as infection, arrhythmias, pneumothorax and vascular or valvular damage. In the past 10 years, the development of reliable non-invasive (NICOM), or minimally-invasive (MICOM), cardiac output monitoring devices has accelerated. The MICOM devices require an arterial catheter to obtain hemodynamic values, whereas NICOM devices do not require any arterial or venous access. These devices have emerged to be particularly useful in evaluating and managing patients with suspected mixed shock. As these devices become more prevalent, it is imperative that clinical pharmacists become familiar with interpreting this data as it may have a substantial impact on medication selection and optimization. This review will discuss the basics of NICOM and MICOM devices, limitations with these methods of monitoring, and clinical application for pharmacists.
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Affiliation(s)
- Chelsea N Lopez
- Department of Pharmacy, Houston Methodist Hospital, Houston, TX, USA
| | - Elisabeth M Sulaica
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA
| | - Kevin R Donahue
- Department of Pharmacy, Houston Methodist Hospital, Houston, TX, USA
| | - Matthew A Wanat
- Department of Pharmacy, Houston Methodist Hospital, Houston, TX, USA.,Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, TX, USA
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Saugel B, Kouz K, Scheeren TWL, Greiwe G, Hoppe P, Romagnoli S, de Backer D. Cardiac output estimation using pulse wave analysis-physiology, algorithms, and technologies: a narrative review. Br J Anaesth 2020; 126:67-76. [PMID: 33246581 DOI: 10.1016/j.bja.2020.09.049] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/23/2020] [Accepted: 09/10/2020] [Indexed: 01/18/2023] Open
Abstract
Pulse wave analysis (PWA) allows estimation of cardiac output (CO) based on continuous analysis of the arterial blood pressure (AP) waveform. We describe the physiology of the AP waveform, basic principles of PWA algorithms for CO estimation, and PWA technologies available for clinical practice. The AP waveform is a complex physiological signal that is determined by interplay of left ventricular stroke volume, systemic vascular resistance, and vascular compliance. Numerous PWA algorithms are available to estimate CO, including Windkessel models, long time interval or multi-beat analysis, pulse power analysis, or the pressure recording analytical method. Invasive, minimally-invasive, and noninvasive PWA monitoring systems can be classified according to the method they use to calibrate estimated CO values in externally calibrated systems, internally calibrated systems, and uncalibrated systems.
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Affiliation(s)
- Bernd Saugel
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany; Outcomes Research Consortium, Cleveland, OH, USA.
| | - Karim Kouz
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Thomas W L Scheeren
- Department of Anesthesiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gillis Greiwe
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Phillip Hoppe
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stefano Romagnoli
- Department of Health Science, Section of Anesthesia and Critical Care, University of Florence, Florence, Italy; Department of Anesthesia and Critical Care, Careggi University Hospital, Florence, Italy
| | - Daniel de Backer
- Department of Intensive Care, CHIREC Hospitals, Université Libre de Bruxelles, Brussels, Belgium
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Moon YJ, Moon HS, Kim DS, Kim JM, Lee JK, Shim WH, Kim SH, Hwang GS, Choi JS. Deep Learning-Based Stroke Volume Estimation Outperforms Conventional Arterial Contour Method in Patients with Hemodynamic Instability. J Clin Med 2019; 8:jcm8091419. [PMID: 31505848 PMCID: PMC6780281 DOI: 10.3390/jcm8091419] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 08/27/2019] [Accepted: 09/05/2019] [Indexed: 12/15/2022] Open
Abstract
Although the stroke volume (SV) estimation by arterial blood pressure has been widely used in clinical practice, its accuracy is questionable, especially during periods of hemodynamic instability. We aimed to create novel SV estimating model based on deep-learning (DL) method. A convolutional neural network was applied to estimate SV from arterial blood pressure waveform data recorded from liver transplantation (LT) surgeries. The model was trained using a gold standard referential SV measured via pulmonary artery thermodilution method. Merging a gold standard SV and corresponding 10.24 seconds of arterial blood pressure waveform as an input/output data set with 2-senconds of sliding overlap, 484,384 data sets from 34 LT surgeries were used for training and validation of DL model. The performance of DL model was evaluated by correlation and concordance analyses in another 491,353 data sets from 31 LT surgeries. We also evaluated the performance of pre-existing commercialized model (EV1000), and the performance results of DL model and EV1000 were compared. The DL model provided an acceptable performance throughout the surgery (r = 0.813, concordance rate = 74.15%). During the reperfusion phase, where the most severe hemodynamic instability occurred, DL model showed superior correlation (0.861; 95% Confidence Interval, (CI), 0.855-0.866 vs. 0.570; 95% CI, 0.556-0.584, P < 0.001) and higher concordance rate (90.6% vs. 75.8%) over EV1000. In conclusion, the DL-based model was superior for estimating intraoperative SV and thus might guide physicians to precise intraoperative hemodynamic management. Moreover, the DL model seems to be particularly promising because it outperformed EV1000 in circumstance of rapid hemodynamic changes where physicians need most help.
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Affiliation(s)
- Young-Jin Moon
- Biosignal Analysis and Perioperative Outcome Research Laboratory, Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
| | - Hyun S Moon
- Health Innovation Bigdata Center, Asan Institute for Lifesciences, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
| | - Dong-Sub Kim
- Health Innovation Bigdata Center, Asan Institute for Lifesciences, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
| | - Jae-Man Kim
- Biosignal Analysis and Perioperative Outcome Research Laboratory, Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
| | - Joon-Kyu Lee
- Health Innovation Bigdata Center, Asan Institute for Lifesciences, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
| | - Woo-Hyun Shim
- Health Innovation Bigdata Center, Asan Institute for Lifesciences, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
| | - Sung-Hoon Kim
- Biosignal Analysis and Perioperative Outcome Research Laboratory, Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
| | - Gyu-Sam Hwang
- Biosignal Analysis and Perioperative Outcome Research Laboratory, Department of Anesthesiology and Pain Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
| | - Jae-Soon Choi
- Department of Biomedical Engineering, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul 05505, Korea.
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Abstract
PURPOSE OF REVIEW We will briefly review the classification of shock and the hallmark features of each subtype. Available modalities for monitoring shock patients will be discussed, along with evidence supporting the use, common pitfalls, and practical considerations of each method. RECENT FINDINGS As older, invasive monitoring methods such as the pulmonary artery catheter have fallen out of favor, newer technologies for cardiac output estimation, echocardiography, and noninvasive tests such as passive leg raising have gained popularity. Newer forms of minimally invasive or noninvasive monitoring (such as pulse contour analysis and chest bioreactance) show promise but will need further investigation before they are considered validated for practical use. There remains no 'ideal' test or standard of care for cardiopulmonary monitoring of shock patients. SUMMARY Shock has potentially reversible causes of morbidity and mortality if appropriately diagnosed and managed. Older methods of invasive monitoring have significant limitations but are still critical for managing shock in certain patients and settings. Newer methods are easier to employ, but further validation is needed. Multiple modalities along with careful clinical assessment are often useful in distinguishing shock subtypes. Best practice standards for monitoring should be based on institutional expertise.
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Vetrugno L, Bignami E, Barbariol F, Langiano N, De Lorenzo F, Matellon C, Menegoz G, Della Rocca G. Cardiac output measurement in liver transplantation patients using pulmonary and transpulmonary thermodilution: a comparative study. J Clin Monit Comput 2018; 33:223-231. [PMID: 29725794 DOI: 10.1007/s10877-018-0149-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 04/26/2018] [Indexed: 11/24/2022]
Abstract
During liver transplantation surgery, the pulmonary artery catheter-despite its invasiveness-remains the gold standard for measuring cardiac output. However, the new EV1000 transpulmonary thermodilution calibration technique was recently introduced into the market by Edwards LifeSciences. We designed a single-center prospective observational study to determine if these two techniques for measuring cardiac output are interchangeable in this group of patients. Patients were monitored with both pulmonary artery catheter and the EV1000 system. Simultaneous intermittent cardiac output measurements were collected at predefined steps: after induction of anesthesia (T1), during the anhepatic phase (T2), after liver reperfusion (T3), and at the end of the surgery (T4). The 4-quadrant and polar plot techniques were used to assess trending ability between the two methods. We enrolled 49 patients who underwent orthotopic liver transplantation surgery. We analyzed a total of 588 paired measurements. The mean bias between pulmonary artery catheter and the EV1000 system was 0.35 L/min with 95% limits of agreement of - 2.30 to 3.01 L/min, and an overall percentage error of 35%. The concordance rate between the two techniques in 4-quadrant plot analysis was 65% overall. The concordance rate of the polar plot showed an overall value of 83% for all pairs. In the present study, in liver transplantation patients we found that intermittent cardiac output monitoring with EV1000 system showed a percentage error compared with pulmonary artery catheter in the acceptable threshold of 45%. On the others hand, our results showed a questionable trending ability between the two techniques.
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Affiliation(s)
- Luigi Vetrugno
- Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy.
| | - Elena Bignami
- Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Viale Gramsci 14, 43126, Parma, Italy
| | - Federico Barbariol
- Anesthesiology and Intensive Care 1, University-Hospital of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy
| | - Nicola Langiano
- Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy
| | - Francesco De Lorenzo
- Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy
| | - Carola Matellon
- Anesthesiology and Intensive Care 1, University-Hospital of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy
| | - Giuseppe Menegoz
- Statistical Physics, SISSA, University of Trieste, via Bonomea 265, 34136, Trieste, Italy
| | - Giorgio Della Rocca
- Anesthesiology and Intensive Care Clinic, Department of Medicine, University of Udine, P.le S. Maria della Misericordia n.15, 33100, Udine, Italy
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Antal O, Mărginean M, Hagău N. Assessment of method agreement between two minimally invasive hemodynamic measurements in septic shock patients on high doses of vasopressor drugs. A preliminary study. Rom J Anaesth Intensive Care 2017; 24:89-100. [PMID: 29090260 DOI: 10.21454/rjaic.7518.242.min] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Minimally invasive hemodynamic monitoring is still controversial among the methods used to assess the hemodynamic profile of the septic shock patient. The aim of this study was to test the level of agreement between two different devices. METHODS We collected 385 data entries during 12-hour intervals from four critically ill patients with septic shock and high doses of vasoactive therapy using two minimally invasive methods at the same time: Vigileo™ device which uses the pulse contour principle, and EV1000™ monitoring platform which uses the transpulmonary thermodilution principle. The studied parameters were Stroke Volume (SV), Cardiac Output (CO) and Mean Arterial Pressure (MAP). We tested the agreement by performing the visual examination of data patterns using graphs and studying the bias, limits of agreement and creating Bland-Altman plots. For assessing the systematic, proportional and random differences, we computed a Passing-Bablock regression with the CUSUM test for linearity. RESULTS The one sample t-Test for the differences between the two methods against the null value was statistically significant for the studied parameters (p < 0.0001). The Bland-Altman analysis found no agreement between the data obtained using the two techniques, with calculated error percent as high as 88.28% for SV, 82.02% for CO and 42.06% for MAP. The Passing-Bablock regression analysis tested positive for systematic differences, but this could not be accounted for. CONCLUSION We found no agreement between data obtained from the studied devices; therefore, these cannot be used interchangeably for critically ill septic shock patients on high doses of vasoactive substances.
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Affiliation(s)
- Oana Antal
- University of Medicine and Pharmacy "Iuliu Haţieganu" Cluj-Napoca, Romania.,Emergency Clinical County Hospital Cluj-Napoca, Romania
| | - Mihai Mărginean
- University of Medicine and Pharmacy "Iuliu Haţieganu" Cluj-Napoca, Romania.,Emergency Military Hospital "Dr. Constantin Papilian" Cluj-Napoca, Romania
| | - Natalia Hagău
- University of Medicine and Pharmacy "Iuliu Haţieganu" Cluj-Napoca, Romania.,Emergency Clinical County Hospital Cluj-Napoca, Romania
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Al-Mashani AM, Waje ND, Salhotra N, Das S, Suri N, Al-Sheheimi RA, Chatterjee N. Use of a Minimally Invasive Cardiac Output Monitor to Optimise Haemodynamics in a Patient with Mitral Valve Disease Undergoing Cerebrovascular Surgery. Sultan Qaboos Univ Med J 2017; 17:e343-e347. [PMID: 29062560 DOI: 10.18295/squmj.2017.17.03.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2016] [Revised: 02/19/2017] [Accepted: 05/18/2017] [Indexed: 11/16/2022] Open
Abstract
Patients with mitral valve disease undergoing cerebrovascular surgery face increased inherent risks due to their associated cardiac comorbidities. As such, the anaesthetic management of such patients is distinctly challenging. Simultaneous consideration of both the cerebrovascular and underlying cardiac conditions determines key anaesthetic issues, as fluids and vasopressors or inotropes need to be titrated according to haemodynamic variables in order to optimise cerebral blood flow without compromising cardiac function. We report a 45-year-old female patient with mild mitral stenosis and moderate-to-severe mitral regurgitation who presented to the Khoula Hospital, Muscat, Oman, in 2016 following a ruptured anterior communicating artery aneurysm requiring urgent surgical intervention. As highlighted in this case, the VolumeView EV1000™ (Edwards Lifesciences, Irvine, California, USA) system is a minimially invasive haemodynamic monitor that can help immensely in the perioperative management of such patients.
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Affiliation(s)
- Ali M Al-Mashani
- Departments of Neurosurgery, Intensive Care Unit & Pain Management, Khoula Hospital, Muscat, Oman
| | - Niranjan D Waje
- Department of Cardiac Anaesthesia, Royal Hospital, Muscat, Oman
| | - Neeraj Salhotra
- Departments of Neurosurgery, Intensive Care Unit & Pain Management, Khoula Hospital, Muscat, Oman
| | - Samaresh Das
- Departments of Anaesthesia, Intensive Care Unit & Pain Management, Khoula Hospital, Muscat, Oman
| | - Neelam Suri
- Departments of Anaesthesia, Intensive Care Unit & Pain Management, Khoula Hospital, Muscat, Oman
| | | | - Nilay Chatterjee
- Departments of Anaesthesia, Intensive Care Unit & Pain Management, Khoula Hospital, Muscat, Oman
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Romagnoli S, Franchi F, Ricci Z, Scolletta S, Payen D. The Pressure Recording Analytical Method (PRAM): Technical Concepts and Literature Review. J Cardiothorac Vasc Anesth 2017; 31:1460-1470. [DOI: 10.1053/j.jvca.2016.09.004] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Indexed: 12/22/2022]
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Monnet X, Teboul JL. Transpulmonary thermodilution: advantages and limits. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2017. [PMID: 28625165 PMCID: PMC5474867 DOI: 10.1186/s13054-017-1739-5] [Citation(s) in RCA: 143] [Impact Index Per Article: 20.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background For complex patients in the intensive care unit or in the operating room, many questions regarding their haemodynamic management cannot be answered with simple clinical examination. In particular, arterial pressure allows only a rough estimation of cardiac output. Transpulmonary thermodilution is a technique that provides a full haemodynamic assessment through cardiac output and other indices. Main body Through the analysis of the thermodilution curve recorded at the tip of an arterial catheter after the injection of a cold bolus in the venous circulation, transpulmonary thermodilution intermittently measures cardiac output. This measure allows the calibration of pulse contour analysis. This provides continuous and real time monitoring of cardiac output, which is not possible with the pulmonary artery catheter. Transpulmonary thermodilution provides several variables beyond cardiac output. It estimates the end-diastolic volume of the four cardiac cavities, which is a marker of cardiac preload. It provides an estimation of the systolic function of the combined ventricles. It is more direct than the pulmonary artery catheter, but does not allow the distinct estimation of right and left cardiac function. It is easier and faster to perform than echocardiography, but does not provide a full evaluation of the cardiac structure and function. Transpulmonary thermodilution has the unique advantage of being able to estimate at the bedside extravascular lung water, which quantifies the volume of pulmonary oedema, and pulmonary vascular permeability, which quantifies the degree of a pulmonary capillary leak. Both indices are helpful for guiding fluid strategy, especially in case of acute respiratory distress syndrome. Conclusions Transpulmonary thermodilution provides a full cardiovascular evaluation that allows one to answer many questions regarding haemodynamic management. It belongs to the category of “advanced” devices that are indicated for the most critically ill and/or complex patients.
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Affiliation(s)
- Xavier Monnet
- Hôpitaux Universitaires Paris-Sud, Hôpital de Bicêtre, Medical Intensive Care Unit, Le Kremlin-Bicêtre, F-94270, France. .,Université Paris-Sud, Faculté de médecine Paris-Sud, Inserm UMR S_999, Le Kremlin-Bicêtre, F-94270, France. .,Service de réanimation médicale, Hôpital de Bicêtre, 78, rue du Général Leclerc, F-94270, Le Kremlin-Bicêtre, France.
| | - Jean-Louis Teboul
- Hôpitaux Universitaires Paris-Sud, Hôpital de Bicêtre, Medical Intensive Care Unit, Le Kremlin-Bicêtre, F-94270, France.,Université Paris-Sud, Faculté de médecine Paris-Sud, Inserm UMR S_999, Le Kremlin-Bicêtre, F-94270, France
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Huber W, Phillip V, Höllthaler J, Schultheiss C, Saugel B, Schmid RM. Femoral indicator injection for transpulmonary thermodilution using the EV1000/VolumeView(®): do the same criteria apply as for the PiCCO(®)? J Zhejiang Univ Sci B 2017; 17:561-7. [PMID: 27381733 DOI: 10.1631/jzus.b1500244] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
OBJECTIVE Comparison of global end-diastolic volume index (GEDVI) obtained by femoral and jugular transpulmonary thermodilution (TPTD) indicator injections using the EV1000/VolumnView(®) device (Edwards Lifesciences, Irvine, USA). METHODS In an 87-year-old woman with hypovolemic shock and equipped with both jugular and femoral vein access and monitored with the EV1000/VolumeView(®) device, we recorded 10 datasets, each comprising duplicate TPTD via femoral access and duplicate TPTD (20 ml cold saline) via jugular access. RESULTS Mean femoral GEDVI ((674.6±52.3) ml/m(2)) was significantly higher than jugular GEDVI ((552.3±69.7) ml/m(2)), with P=0.003. Bland-Altman analysis demonstrated a bias of (+122±61) ml/m(2), limits of agreement of -16 and +260 ml/m(2), and a percentage error of 22%. Use of the correction-formula recently suggested for the PiCCO(®) device significantly reduced bias and percentage error. Similarly, mean values of parameters derived from GEDVI such as pulmonary vascular permeability index (PVPI; 1.244±0.101 vs. 1.522±0.139; P<0.001) and global ejection fraction (GEF; (24.7±1.6)% vs. (28.1±1.8)%; P<0.001) were significantly different in the case of femoral compared to jugular indicator injection. Furthermore, the mean cardiac index derived from femoral indicator injection ((4.50±0.36) L/(min·m²)) was significantly higher (P=0.02) than that derived from jugular indicator injection ((4.12±0.44) L/(min·m²)), resulting in a bias of (+0.38±0.37) L/(min·m²) and a percentage error of 19.4%. CONCLUSIONS Femoral access for indicator injection results in markedly altered values provided by the EV1000/VolumeView(®), particularly for GEDVI, PVPI, and GEF.
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Affiliation(s)
- Wolfgang Huber
- Second Medical Department, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Veit Phillip
- Second Medical Department, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Josef Höllthaler
- Second Medical Department, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Caroline Schultheiss
- Second Medical Department, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Bernd Saugel
- Second Medical Department, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
| | - Roland M Schmid
- Second Medical Department, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany
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Saugel B, Bendjelid K, Critchley LA, Rex S, Scheeren TWL. Journal of Clinical Monitoring and Computing 2016 end of year summary: cardiovascular and hemodynamic monitoring. J Clin Monit Comput 2017; 31:5-17. [PMID: 28064413 DOI: 10.1007/s10877-017-9976-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2016] [Accepted: 01/02/2017] [Indexed: 12/29/2022]
Abstract
The assessment and optimization of cardiovascular and hemodynamic variables is a mainstay of patient management in the care for critically ill patients in the intensive care unit (ICU) or the operating room (OR). It is, therefore, of outstanding importance to meticulously validate technologies for hemodynamic monitoring and to study their applicability in clinical practice and, finally, their impact on treatment decisions and on patient outcome. In this regard, the Journal of Clinical Monitoring and Computing (JCMC) is an ideal platform for publishing research in the field of cardiovascular and hemodynamic monitoring. In this review, we highlight papers published last year in the JCMC in order to summarize and discuss recent developments in this research area.
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Affiliation(s)
- Bernd Saugel
- Department of Anesthesiology, Center of Anesthesiology and Intensive Care Medicine, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
| | - Karim Bendjelid
- Department of Anesthesiology and Intensive Care, Geneva University Hospitals, Geneva, Switzerland
| | - Lester A Critchley
- Department of Anesthesia and Intensive Care, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong
| | - Steffen Rex
- Department of Anesthesiology and Department of Cardiovascular Sciences, University Hospitals Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Thomas W L Scheeren
- Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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18
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Park M, Han S, Kim GS, Gwak MS. Evaluation of New Calibrated Pulse-Wave Analysis (VolumeViewTM/EV1000TM) for Cardiac Output Monitoring Undergoing Living Donor Liver Transplantation. PLoS One 2016; 11:e0164521. [PMID: 27736921 PMCID: PMC5063283 DOI: 10.1371/journal.pone.0164521] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2016] [Accepted: 09/27/2016] [Indexed: 12/12/2022] Open
Abstract
Background Intrapulmonary thermodilution technique using a pulmonary artery catheter is widely used for measuring cardiac output (CO) in patients undergoing liver transplantation. However, its invasiveness and associated complications have led to an interest in less invasive modalities. Thus, we aimed to evaluate whether the new calibrated pulse-wave analysis method monitoring (VolumeViewTM/EV1000TM) is interchangeable with intrapulmonary thermodilution technique. Methods Twenty-eight patients undergoing living donor liver transplantation were enrolled in this prospective observational study. COs were recorded automatically by the two devices and compared simultaneously at 10-minute intervals. The agreement of absolute CO values and the tracking ability of CO changes trends were compared. A Bland-Altman analysis with percentage errors and concordance rate for trend analysis using both a 4-quadrant plot and a polar plot were performed on the data. Results A total of 375 paired datasets from 25 patients were included in analysis. COs measured by intrapulmonary thermodilution ranged from 3.8–13.7 L/min. The mean CO difference between the two techniques was 0.57 L/min, and the 95% limits of agreement were -0.98 L/min to 2.12 L/min with a percentage error of 42.3%. The percentage errors in the dissection, anhepatic, and reperfusion phase were 30.5%, 31.7%, and 27.4%, respectively. The concordance rate between the two techniques was 78.4%. Conclusion The calibrated pulse-wave analysis and intrapulmonary thermodilution failed to show acceptable interchangeability in terms of both estimating CO and tracking CO changes during living donor liver transplantation.
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Affiliation(s)
- MiHye Park
- Department of Anesthesiology and Pain Medicine, Kyungpook National University school of Medicine, Daegu, Republic of Korea
| | - Sangbin Han
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Gaab Soo Kim
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Mi Sook Gwak
- Department of Anesthesiology and Pain Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- * E-mail:
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Hendy A, Bubenek-Turconi ŞI. The Diagnosis and Hemodynamic Monitoring of Circulatory Shock: Current and Future Trends. ACTA ACUST UNITED AC 2016; 2:115-123. [PMID: 29967849 DOI: 10.1515/jccm-2016-0018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Accepted: 07/15/2016] [Indexed: 01/08/2023]
Abstract
Circulatory shock is a complex clinical syndrome encompassing a group of conditions that can arise from different etiologies and presented by several different hemodynamic patterns. If not corrected, cell dysfunction, irreversible multiple organ insufficiency, and death may occur. The four basic types of shock, hypovolemic, cardiogenic, obstructive and distributive, have features similar to that of hemodynamic shock. It is therefore essential, when monitoring hemodynamic shock, to making accurate clinical assessments which will guide and dictate appropriate management therapy. The European Society of Intensive Care has recently made recommendations for monitoring hemodynamic shock. The present paper discusses the issues raised in the new statements, including individualization of blood pressure targets, prediction of fluid responsiveness, and the use of echocardiography as the first means during the initial evaluation of circulatory shock. Also, the place of more invasive hemodynamic monitoring techniques and future trends in hemodynamic and metabolic monitoring in circulatory shock, will be debated.
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Affiliation(s)
- Adham Hendy
- Ph.D Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.,1st Department of Cardiovascular Anesthesia and Intensive Care, "C.C.Iliescu" Emergency Institute for Cardiovascular Diseases, Bucharest, Romania
| | - Şerban-Ion Bubenek-Turconi
- Ph.D Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.,1st Department of Cardiovascular Anesthesia and Intensive Care, "C.C.Iliescu" Emergency Institute for Cardiovascular Diseases, Bucharest, Romania
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20
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Hemodynamic monitoring of the injured patient: From central venous pressure to focused echocardiography. J Trauma Acute Care Surg 2016; 80:499-510. [PMID: 26713977 DOI: 10.1097/ta.0000000000000938] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Hendy A, Bubenek Ş. Pulse waveform hemodynamic monitoring devices: recent advances and the place in goal-directed therapy in cardiac surgical patients. Rom J Anaesth Intensive Care 2016; 23:55-65. [PMID: 28913477 DOI: 10.21454/rjaic.7518.231.wvf] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Hemodynamic monitoring has evolved and improved greatly during the past decades as the medical approach has shifted from a static to a functional approach. The technological advances have led to innovating calibrated or not, but minimally invasive and noninvasive devices based on arterial pressure waveform (APW) analysis. This systematic clinical review outlines the physiologic rationale behind these recent technologies. We describe the strengths and the limitations of each method in terms of accuracy and precision of measuring the flow parameters (stroke volume, cardiac output) and dynamic parameters which predict the fluid responsiveness. We also analyzed the place of the APW monitoring devices in goal-directed therapy (GDT) protocols in cardiac surgical patients. According to the data from the three GDT-randomized control trials performed in cardiac surgery (using two types of APW techniques PiCCO and FloTrac/Vigileo), these devices did not demonstrate that they played a role in decreasing mortality, but only decreasing the ventilation time and the ICU and hospital length of stay.
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Affiliation(s)
- Adham Hendy
- Carol Davila University of Medicine and Pharmacy, Bucharest, 1 Department of Cardiovascular Anaesthesia and Intensive Care, C.C. Iliescu Emergency Institute for Cardiovascular Diseases, Bucharest, Romania
| | - Şerban Bubenek
- Carol Davila University of Medicine and Pharmacy, Bucharest, 1 Department of Cardiovascular Anaesthesia and Intensive Care, C.C. Iliescu Emergency Institute for Cardiovascular Diseases, Bucharest, Romania
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22
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Minimally invasive or noninvasive cardiac output measurement: an update. J Anesth 2016; 30:461-80. [DOI: 10.1007/s00540-016-2154-9] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Accepted: 02/17/2016] [Indexed: 12/15/2022]
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23
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Kjetså E, Skjaervold NK, Skogvoll E, Kirkeby-Garstad I. Synchronizing thermodilution cardiac output measurements with spontaneous breathing does not improve precision. Acta Anaesthesiol Scand 2016; 60:354-9. [PMID: 26497869 DOI: 10.1111/aas.12650] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Revised: 09/17/2015] [Accepted: 09/18/2015] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Measuring cardiac output (CO) with the pulmonary artery catheter intermittent bolus thermodilution technique (PAC-IBTD) is less precise with spontaneous breathing compared to controlled ventilation. We aimed to test if precision could be improved in spontaneous breathing by synchronizing the measurement with respiration or using instructed respiration in 18 post-operative cardiac surgery patients. METHODS We performed eight CO measurements with PAC-IBTD using cold saline in three different situations; in random order: 1) random compared to respiration, 2) timed to the start of expiration, and 3) synchronized with a slow exhalation through a PEP-flute. We calculated the standard deviation (SD), coefficient of variation (CV), and precision in the total material and in the three situations using a linear mixed effects model. RESULTS A total of 408 CO measurements were performed in 17 included patients. There were no differences between the three study situations regarding mean or precision. The overall CO was 6.0 ± 1.4 l/min (mean ± SD), CV 6.2% and precision 12.2% for single measurements. Averaging three measurements increased the precision to 7.0%. CONCLUSION We could not improve the precision of PAC-IBTD in spontaneously breathing patients by synchronizing the measurements with respiration.
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Affiliation(s)
- E. Kjetså
- Department of Circulation and Medical Imaging; Norwegian University of Science and Technology; Trondheim Norway
- Department of Anaesthesia and Intensive Care Medicine; Trondheim University Hospital; Trondheim Norway
| | - N. K. Skjaervold
- Department of Circulation and Medical Imaging; Norwegian University of Science and Technology; Trondheim Norway
- Department of Anaesthesia and Intensive Care Medicine; Trondheim University Hospital; Trondheim Norway
| | - E. Skogvoll
- Department of Circulation and Medical Imaging; Norwegian University of Science and Technology; Trondheim Norway
- Department of Anaesthesia and Intensive Care Medicine; Trondheim University Hospital; Trondheim Norway
| | - I. Kirkeby-Garstad
- Department of Circulation and Medical Imaging; Norwegian University of Science and Technology; Trondheim Norway
- Department of Anaesthesia and Intensive Care Medicine; Trondheim University Hospital; Trondheim Norway
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Giraud R, Siegenthaler N, Merlani P, Bendjelid K. Reproducibility of transpulmonary thermodilution cardiac output measurements in clinical practice: a systematic review. J Clin Monit Comput 2016; 31:43-51. [PMID: 26753534 DOI: 10.1007/s10877-016-9823-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2015] [Accepted: 01/03/2016] [Indexed: 01/31/2023]
Abstract
Measuring cardiac output (CO) is an integral part of the diagnostic and therapeutic strategy in critically ill patients. During the last decade, the single transpulmonary thermodilution (TPTD) technique was implemented in clinical practice. The purpose of this paper was to systematically review and critically assess the existing data concerning the reproducibility of CO measured using TPTD (COTPTD). A total of 16 studies were identified to potentially be included in our study because these studies had the required information that allowed for calculating the reproducibility of COTPTD measurements. 14 adult studies and 2 pediatric studies were analyzed. In total, 3432 averaged CO values in the adult population and 78 averaged CO values in the pediatric population were analyzed. The overall reproducibility of COTPTD measurements was 6.1 ± 2.0 % in the adult studies and 3.9 ± 2.9 % in the pediatric studies. An average of 3 boluses was necessary for obtaining a mean CO value. Achieving more than 3 boluses did not improve reproducibility; however, achieving less than 3 boluses significantly affects the reproducibility of this technique. The present results emphasize that TPTD is a highly reproducible technique for monitoring CO in critically ill patients, especially in the pediatric population. Our findings suggest that obtaining a mean of 3 measurements for determining CO values is recommended.
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Affiliation(s)
- Raphaël Giraud
- Intensive Care Service, Geneva University Hospitals, 4 Rue Gabrielle Perret-Gentil, 1211, Geneva 14, Switzerland. .,Faculty of Medicine, University of Geneva, Rue Michel-Servet 1, 1206, Geneva, Switzerland. .,Geneva Hemodynamic Research Group, University of Geneva, Rue Michel-Servet 1, 1206, Geneva, Switzerland.
| | - Nils Siegenthaler
- Intensive Care Service, Geneva University Hospitals, 4 Rue Gabrielle Perret-Gentil, 1211, Geneva 14, Switzerland.,Faculty of Medicine, University of Geneva, Rue Michel-Servet 1, 1206, Geneva, Switzerland.,Geneva Hemodynamic Research Group, University of Geneva, Rue Michel-Servet 1, 1206, Geneva, Switzerland
| | - Paolo Merlani
- Intensive Care Service, Geneva University Hospitals, 4 Rue Gabrielle Perret-Gentil, 1211, Geneva 14, Switzerland.,Intensive Care Unit, Ospedale Regionale di Lugano, Ente Ospedaliero Cantonale, Via Tesserete 46, 6900, Lugano, Switzerland
| | - Karim Bendjelid
- Intensive Care Service, Geneva University Hospitals, 4 Rue Gabrielle Perret-Gentil, 1211, Geneva 14, Switzerland.,Faculty of Medicine, University of Geneva, Rue Michel-Servet 1, 1206, Geneva, Switzerland.,Geneva Hemodynamic Research Group, University of Geneva, Rue Michel-Servet 1, 1206, Geneva, Switzerland
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Cho YJ, Koo CH, Kim TK, Hong DM, Jeon Y. Comparison of cardiac output measures by transpulmonary thermodilution, pulse contour analysis, and pulmonary artery thermodilution during off-pump coronary artery bypass surgery: a subgroup analysis of the cardiovascular anaesthesia registry at a single tertiary centre. J Clin Monit Comput 2015; 30:771-782. [DOI: 10.1007/s10877-015-9784-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2015] [Accepted: 09/23/2015] [Indexed: 01/24/2023]
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26
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Hemodynamic assessment in the contemporary intensive care unit: a review of circulatory monitoring devices. Crit Care Clin 2015; 30:413-45. [PMID: 24996604 DOI: 10.1016/j.ccc.2014.03.007] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
The assessment of the circulating volume and efficiency of tissue perfusion is necessary in the management of critically ill patients. The controversy surrounding pulmonary artery catheterization has led to a new wave of minimally invasive hemodynamic monitoring technologies, including echocardiographic and Doppler imaging, pulse wave analysis, and bioimpedance. This article reviews the principles, advantages, and limitations of these technologies and the clinical contexts in which they may be clinically useful.
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Abstract
Although use of the classic pulmonary artery catheter has declined, several techniques have emerged to estimate cardiac output. Arterial pressure waveform analysis computes cardiac output from the arterial pressure curve. The method of estimating cardiac output for these devices depends on whether they need to be calibrated by an independent measure of cardiac output. Some newer devices have been developed to estimate cardiac output from an arterial curve obtained noninvasively with photoplethysmography, allowing a noninvasive beat-by-beat estimation of cardiac output. This article describes the different devices that perform pressure waveform analysis.
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Affiliation(s)
- Xavier Monnet
- Medical Intensive Care Unit, Bicêtre Hospital, Paris-Sud University Hospitals, 78, rue du Général Leclerc, F-94270 Le Kremlin-Bicêtre, France; EA4533, Paris-Sud University, 63 rue Gabriel Péri, F-94270 Le Kremlin-Bicêtre, France.
| | - Jean-Louis Teboul
- Medical Intensive Care Unit, Bicêtre Hospital, Paris-Sud University Hospitals, 78, rue du Général Leclerc, F-94270 Le Kremlin-Bicêtre, France; EA4533, Paris-Sud University, 63 rue Gabriel Péri, F-94270 Le Kremlin-Bicêtre, France
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Vincent JL, Pelosi P, Pearse R, Payen D, Perel A, Hoeft A, Romagnoli S, Ranieri VM, Ichai C, Forget P, Della Rocca G, Rhodes A. Perioperative cardiovascular monitoring of high-risk patients: a consensus of 12. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2015; 19:224. [PMID: 25953531 PMCID: PMC4424585 DOI: 10.1186/s13054-015-0932-7] [Citation(s) in RCA: 132] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
A significant number of surgical patients are at risk of intra- or post-operative complications or both, which are associated with increased lengths of stay, costs, and mortality. Reducing these risks is important for the individual patient but also for health-care planners and managers. Insufficient tissue perfusion and cellular oxygenation due to hypovolemia, heart dysfunction or both is one of the leading causes of perioperative complications. Adequate perioperative management guided by effective and timely hemodynamic monitoring can help reduce the risk of complications and thus potentially improve outcomes. In this review, we describe the various available hemodynamic monitoring systems and how they can best be used to guide cardiovascular and fluid management in the perioperative period in high-risk surgical patients.
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Affiliation(s)
- Jean-Louis Vincent
- Department of Intensive Care, Erasme Hospital, Université Libre de Bruxelles, 808 route de Lennik, 1070, Brussels, Belgium.
| | - Paolo Pelosi
- AOU IRCCS San Martino-IST, Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Largo Rosanna Benzi 8, 16132, Genoa, Italy.
| | - Rupert Pearse
- Adult Critical Care Unit, Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.
| | - Didier Payen
- Department of Anesthesiology and Critical Care, Lariboisière Hospital, Assistance Publique-Hôpitaux de Paris, University of Paris 7 Denis Diderot, 75475, Paris, Cedex 10, France.
| | - Azriel Perel
- Department of Anesthesiology and Intensive Care, Sheba Medical Center, Tel Aviv University, Tel Aviv, 52621, Israel.
| | - Andreas Hoeft
- Department of Anesthesiology and Intensive Care Medicine, University of Bonn, Sigmund-Freud-Str. 25, 53105, Bonn, Germany.
| | - Stefano Romagnoli
- Department of Human Health Sciences, Section of Anesthesiology and Intensive Care, University of Florence, Azienda Ospedaliero-Universitaria Careggi, Largo Giovanni Alessandro Brambilla 3, 50139, Florence, Italy.
| | - V Marco Ranieri
- Department of Anesthesia and Intensive Care Medicine, University of Turin, S.Giovanni Battista Molinette Hospital, 10126, Turin, Italy.
| | - Carole Ichai
- Medico-Surgical Intensive Care Unit, Saint-Roch University Hospital, University of Nice, 5 Rue Pierre Dévoluy, 06006, Nice, France.
| | - Patrice Forget
- Service d'Anesthésiologie, Cliniques Universitaires Saint-Luc, Institute of Neuroscience (IoNS), Université catholique de Louvain, Avenue Hippocrate 10, 1200, Brussels, Belgium.
| | - Giorgio Della Rocca
- Department of Anesthesia and Intensive Care Medicine, University Hospital, Medical School, University of Udine, P. le S. Maria della Misericordia 15, 33100, Udine, Italy.
| | - Andrew Rhodes
- Department of Intensive Care Medicine, St George's Healthcare NHS Trust, Blackshaw Road, London, SW17 0QT, UK.
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Hamzaoui O, Monnet X, Teboul JL. Evolving concepts of hemodynamic monitoring for critically ill patients. Indian J Crit Care Med 2015; 19:220-6. [PMID: 25878430 PMCID: PMC4397629 DOI: 10.4103/0972-5229.154556] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
The last decades have been characterized by a continuous evolution of hemodynamic monitoring techniques from intermittent toward continuous and real-time measurements and from an invasive towards a less invasive approach. The latter approach uses ultrasounds and pulse contour analysis techniques that have been developed over the last 15 years. During the same period, the concept of prediction of fluid responsiveness has also been developed and dynamic indices such as pulse pressure variation, stroke volume variation, and the real-time response of cardiac output to passive leg raising or to end-expiration occlusion, can be easily obtained and displayed with the minimally invasive techniques. In this article, we review the main hemodynamic monitoring devices currently available with their respective advantages and drawbacks. We also present the current viewpoint on how to choose a hemodynamic monitoring device in the most severely ill patients and especially in patients with circulatory shock.
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Affiliation(s)
- Olfa Hamzaoui
- Intensive Care Unit, Antoine Beclere Hospital, Clamart, France
| | - Xavier Monnet
- Medical Intensive Care Unit, Bicetre Hospital, Le Kremlin-Bicetre, France ; Paris-South University, Inserm U999, Le Kremlin-Bicetre, France
| | - Jean-Louis Teboul
- Medical Intensive Care Unit, Bicetre Hospital, Le Kremlin-Bicetre, France ; Paris-South University, Inserm U999, Le Kremlin-Bicetre, France
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Laight NS, Levin AI. Transcardiopulmonary Thermodilution-Calibrated Arterial Waveform Analysis: A Primer for Anesthesiologists and Intensivists. J Cardiothorac Vasc Anesth 2015; 29:1051-64. [PMID: 26279223 DOI: 10.1053/j.jvca.2015.03.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2014] [Indexed: 02/07/2023]
Affiliation(s)
- Nicola S Laight
- Department of Anesthesiology and Critical Care, University of Stellenbosch, Tygerberg Hospital, Cape Town, South Africa
| | - Andrew I Levin
- Department of Anesthesiology and Critical Care, University of Stellenbosch, Tygerberg Hospital, Cape Town, South Africa.
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Calibrated versus uncalibrated arterial pressure waveform analysis in monitoring cardiac output with transpulmonary thermodilution in patients with severe sepsis and septic shock. Eur J Anaesthesiol 2015; 32:5-12. [DOI: 10.1097/eja.0000000000000173] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Mirea L, Ungureanu R, Pavelescu D, Grintescu I. Global end-diastolic volume: a better indicator of cardiac preload in patients with septic shock. Crit Care 2015. [PMCID: PMC4471075 DOI: 10.1186/cc14259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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Respiratory variation and cardiopulmonary interactions. Best Pract Res Clin Anaesthesiol 2014; 28:407-18. [DOI: 10.1016/j.bpa.2014.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 09/01/2014] [Accepted: 09/03/2014] [Indexed: 12/20/2022]
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Mehta Y, Arora D. Newer methods of cardiac output monitoring. World J Cardiol 2014; 6:1022-1029. [PMID: 25276302 PMCID: PMC4176793 DOI: 10.4330/wjc.v6.i9.1022] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2013] [Revised: 02/11/2014] [Accepted: 07/15/2014] [Indexed: 02/07/2023] Open
Abstract
Cardiac output (CO) is the volume of blood ejected by each ventricle per minute and is the product of stroke volume and heart rate. CO can thus be manipulated by alteration in heart rate or rhythm, preload, contractility and afterload. Moreover it gives important information about tissue perfusion and oxygen delivery. CO can be measured by various methods and thermodilution method using pulmonary artery catheter (PAC) is till date considered as gold standard method. Complications associated with PAC led to development of newer methods which are minimally or non-invasive. Newer methods fulfil other properties like continuous and reproducible reading, cost effective, reliable during various physiological states and have fast response time. These methods are validated against the gold standard with good level agreement. In this review we have discussed various newer methods of CO monitoring and their effectiveness in clinical use.
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Esper SA, Pinsky MR. Arterial waveform analysis. Best Pract Res Clin Anaesthesiol 2014; 28:363-80. [PMID: 25480767 DOI: 10.1016/j.bpa.2014.08.002] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2014] [Revised: 08/19/2014] [Accepted: 08/27/2014] [Indexed: 01/20/2023]
Abstract
The bedside measurement of continuous arterial pressure values from waveform analysis has been routinely available via indwelling arterial catheterization for >50 years. Invasive blood pressure monitoring has been utilized in critically ill patients, in both the operating room and critical care units, to facilitate rapid diagnoses of cardiovascular insufficiency and monitor response to treatments aimed at correcting abnormalities before the consequences of either hypo- or hypertension are seen. Minimally invasive techniques to estimate cardiac output (CO) have gained increased appeal. This has led to the increased interest in arterial waveform analysis to provide this important information, as it is measured continuously in many operating rooms and intensive care units. Arterial waveform analysis also allows for the calculation of many so-called derived parameters intrinsically created by this pulse pressure profile. These include estimates of left ventricular stroke volume (SV), CO, vascular resistance, and during positive-pressure breathing, SV variation, and pulse pressure variation. This article focuses on the principles of arterial waveform analysis and their determinants, components of the arterial system, and arterial pulse contour. It will also address the advantage of measuring real-time CO by the arterial waveform and the benefits to measuring SV variation. Arterial waveform analysis has gained a large interest in the overall assessment and management of the critically ill and those at a risk of hemodynamic deterioration.
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Affiliation(s)
- Stephen A Esper
- Department of Anesthesiology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Michael R Pinsky
- Department of Anesthesiology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
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Abstract
PURPOSE OF REVIEW Advanced hemodynamic monitoring is indispensable for adequate management of patients undergoing major surgery. This article will summarize minimally invasive hemodynamic monitoring technologies and their potential use in thoracic anesthesia. RECENT FINDINGS According to their inherent principle, currently available technologies can be classified into four groups: bioimpedance and bioreactance, applied Fick's principle, pulse wave analysis and Doppler. All devices measure stroke volume and cardiac output. Functional hemodynamic variables and volumetric parameters have been integrated in some devices. Two major indications can be identified: the 'hemodynamically unstable' patient and the patient 'at risk' for hemodynamic instability. Although there is evidence for the first indication, pre-emptive hemodynamic therapy or perioperative hemodynamic optimization for the patient 'at risk' is still an issue of ongoing debate. There is a growing body of evidence that this approach can positively influence patients' outcome with less postoperative complications in selected patient groups. SUMMARY Many different minimally invasive hemodynamic monitoring devices have been developed and clinically introduced in the last years. They offer the advantage of being less invasive and easier to use. However, these techniques have several limitations and data are scarce in patients undergoing thoracic anesthesia, preventing their widespread use so far.
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Critchley LAH, Huang L, Zhang J. Continuous Cardiac Output Monitoring: What Do Validation Studies Tell Us? CURRENT ANESTHESIOLOGY REPORTS 2014. [DOI: 10.1007/s40140-014-0062-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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Staelens A, Tomsin K, Grieten L, Oben J, Mesens T, Spaanderman M, Jacquemyn Y, Gyselaers W. Non-invasive assessment of gestational hemodynamics: benefits and limitations of impedance cardiography versus other techniques. Expert Rev Med Devices 2014; 10:765-79. [DOI: 10.1586/17434440.2013.853466] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Bubenek-Turconi SI, Perel A. In response. Anesth Analg 2013; 118:239. [PMID: 24356174 DOI: 10.1213/ane.0000000000000004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Serban-Ion Bubenek-Turconi
- University of Medicine and Pharmacy "Carol Davila", 1-st Department of Cardiovascular Anesthesiology and Intensive Care, "Prof. C. C. Iliescu" Institute for Cardiovascular Diseases, Bucharest, Romania, Department of Anesthesiology and Intensive Care, Sheba Medical Center, Tel Aviv University, Israel
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