1
|
Min JY, Jeon JP, Chung MY, Kim CJ. Use of the cardiac power index to predict fluid responsiveness in the prone position: A proof-of-concept study. BRAZILIAN JOURNAL OF ANESTHESIOLOGY (ELSEVIER) 2024:844545. [PMID: 39117065 DOI: 10.1016/j.bjane.2024.844545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 07/23/2024] [Accepted: 07/23/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND The primary aim of this proof-of-concept study was to investigate whether the Cardiac Power Index (CPI) could be a novel alternative method to assess fluid responsiveness in the prone position. METHODS Patients undergoing scheduled elective lumbar spine surgery in the prone position under general anesthesia were enrolled in the criteria of patients aged 19-75 years with American Society of Anesthesiologists (ASA) physical status I-II. The hemodynamic variables were evaluated before and after changes in posture after administering a colloid bolus (5 mL.kg-1) in the prone position. Fluid responsiveness was defined as an increase in the Stroke Volume Index (SVI) ≥10%. RESULTS A total of 28 patients were enrolled. In responders, the CPI (median [1/4Q-3/4Q]) decreased to 0.34 [0.28-0.39] W.m-2 (p = 0.035) after the prone position. After following fluid loading, CPI increased to 0.48 [0.37-0.52] W.m-2 (p < 0.008), and decreased SVI (median [1/4Q-3/4Q]) after prone increased from 26.0 [24.5-28.0] mL.m-2 to 33.0 [31.0-37.5] mL.m-2 (p = 0.014). Among non-responders, CPI decreased to 0.43 [0.28-0.53] W.m-2 (p = 0.011), and SVI decreased to 29.0 [23.5-34.8] mL.m-2 (p < 0.009). CPI exhibited predictive capabilities for fluid responsiveness as a receiver operating characteristic curve of 0.78 [95% Confidence Interval, 0.60-0.95; p = 0.025]. CONCLUSION This study suggests the potential of CPI as an alternative method to existing preload indices in assessing fluid responsiveness in clinical scenarios, offering potential benefits for responders and non-responders.
Collapse
Affiliation(s)
- Ji Young Min
- The Catholic University of Korea, College of Medicine, Eunpyeong St. Mary's Hospital, Department of Anesthesiology and Pain Medicine, Seoul, Republic of Korea
| | - Joon Pyo Jeon
- The Catholic University of Korea, College of Medicine, Eunpyeong St. Mary's Hospital, Department of Anesthesiology and Pain Medicine, Seoul, Republic of Korea
| | - Mee Young Chung
- The Catholic University of Korea, College of Medicine, Eunpyeong St. Mary's Hospital, Department of Anesthesiology and Pain Medicine, Seoul, Republic of Korea
| | - Chang Jae Kim
- The Catholic University of Korea, College of Medicine, Eunpyeong St. Mary's Hospital, Department of Anesthesiology and Pain Medicine, Seoul, Republic of Korea.
| |
Collapse
|
2
|
Moll V, Khanna AK, Kurz A, Huang J, Smit M, Swaminathan M, Minear S, Parr KG, Prabhakar A, Zhao M, Malbrain MLNG. Optimization of kidney function in cardiac surgery patients with intra-abdominal hypertension: expert opinion. Perioper Med (Lond) 2024; 13:72. [PMID: 38997752 PMCID: PMC11245849 DOI: 10.1186/s13741-024-00416-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Accepted: 06/09/2024] [Indexed: 07/14/2024] Open
Abstract
Cardiac surgery-associated acute kidney injury (CSA-AKI) affects up to 42% of cardiac surgery patients. CSA-AKI is multifactorial, with low abdominal perfusion pressure often overlooked. Abdominal perfusion pressure is calculated as mean arterial pressure minus intra-abdominal pressure (IAP). IAH decreases cardiac output and compresses the renal vasculature and renal parenchyma. Recent studies have highlighted the frequent occurrence of IAH in cardiac surgery patients and have linked the role of low perfusion pressure to the occurrence of AKI. This review and expert opinion illustrate current evidence on the pathophysiology, diagnosis, and therapy of IAH and ACS in the context of AKI.
Collapse
Affiliation(s)
- Vanessa Moll
- Department of Anesthesiology, Division of Critical Care Medicine, University of Minnesota, Minneapolis, MN, USA
- Department of Anesthesiology, Division of Critical Care Medicine, Emory School of Medicine, Atlanta, GA, USA
| | - Ashish K Khanna
- Wake Forest University School of Medicine, Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC, USA
- Perioperative Outcomes and Informatics Collaborative (POIC), Winston-Salem, NC, USA
- Outcomes Research Consortium, Cleveland, OH, USA
| | - Andrea Kurz
- Departments of General Anesthesiology and Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Anesthesiology, Emergency Medicine and Intensive Care Medicine, Medical University Graz, Graz, Austria
| | - Jiapeng Huang
- Department of Anesthesiology and Perioperative Medicine, University of Louisville, Louisville, KY, USA
| | - Marije Smit
- Department of Critical Care, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Madhav Swaminathan
- Department of Anesthesiology, Duke University Medical Center, Durham, NC, USA
| | - Steven Minear
- Department of Anesthesiology, Cleveland Clinic Florida, Weston Hospital, Weston, FL, USA
| | - K Gage Parr
- Department of Anesthesiology and Critical Care Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - Amit Prabhakar
- Department of Anesthesiology, Division of Critical Care Medicine, Emory School of Medicine, Atlanta, GA, USA
| | - Manxu Zhao
- Department of Anesthesiology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Manu L N G Malbrain
- First Department of Anaesthesiology and Intensive Therapy, Medical University Lublin, Lublin, Poland.
- Medical Data Management, Medaman, Geel, Belgium.
- International Fluid Academy, Lovenjoel, Belgium.
| |
Collapse
|
3
|
Chiumello D, Fioccola A. Recent advances in cardiorespiratory monitoring in acute respiratory distress syndrome patients. J Intensive Care 2024; 12:17. [PMID: 38706001 PMCID: PMC11070081 DOI: 10.1186/s40560-024-00727-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 04/04/2024] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND Recent advances on cardiorespiratory monitoring applied in ARDS patients undergoing invasive mechanical ventilation and noninvasive ventilatory support are available in the literature and may have potential prognostic implication in ARDS treatment. MAIN BODY The measurement of oxygen saturation by pulse oximetry is a valid, low-cost, noninvasive alternative for assessing arterial oxygenation. Caution must be taken in patients with darker skin pigmentation, who may experience a greater incidence of occult hypoxemia. Dead space surrogates, which are easy to calculate, have important prognostic implications. The mechanical power, which can be automatically computed by intensive care ventilators, is an important parameter correlated with ventilator-induced lung injury and outcome. In patients undergoing noninvasive ventilatory support, the use of esophageal pressure can measure inspiratory effort, avoiding possible delays in endotracheal intubation. Fluid responsiveness can also be evaluated using dynamic indices in patients ventilated at low tidal volumes (< 8 mL/kg). In patients ventilated at high levels of positive end expiratory pressure (PEEP), the PEEP test represents a valid alternative to passive leg raising. There is growing evidence on alternative parameters for evaluating fluid responsiveness, such as central venous oxygen saturation variations, inferior vena cava diameter variations and capillary refill time. CONCLUSION Careful cardiorespiratory monitoring in patients affected by ARDS is crucial to improve prognosis and to tailor treatment via mechanical ventilatory support.
Collapse
Affiliation(s)
- Davide Chiumello
- Department of Health Sciences, University of Milan, Milan, Italy.
- Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, Via Di Rudinì 9, Milan, Italy.
- Coordinated Research Center on Respiratory Failure, University of Milan, Milan, Italy.
| | - Antonio Fioccola
- Department of Health Sciences, University of Milan, Milan, Italy
- Department of Health Sciences, University of Florence, Florence, Italy
| |
Collapse
|
4
|
Wyffels PAH, De Hert S, Wouters PF. Measurement error of pulse pressure variation. J Clin Monit Comput 2024; 38:313-323. [PMID: 38064135 DOI: 10.1007/s10877-023-01099-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 10/21/2023] [Indexed: 04/06/2024]
Abstract
Dynamic preload parameters are used to guide perioperative fluid management. However, reported cut-off values vary and the presence of a gray zone complicates clinical decision making. Measurement error, intrinsic to the calculation of pulse pressure variation (PPV) has not been studied but could contribute to this level of uncertainty. The purpose of this study was to quantify and compare measurement errors associated with PPV calculations. Hemodynamic data of patients undergoing liver transplantation were extracted from the open-access VitalDatabase. Three algorithms were applied to calculate PPV based on 1 min observation periods. For each method, different durations of sampling periods were assessed. Best Linear Unbiased Prediction was determined as the reference PPV-value for each observation period. A Bayesian model was used to determine bias and precision of each method and to simulate the uncertainty of measured PPV-values. All methods were associated with measurement error. The range of differential and proportional bias were [- 0.04%, 1.64%] and [0.92%, 1.17%] respectively. Heteroscedasticity influenced by sampling period was detected in all methods. This resulted in a predicted range of reference PPV-values for a measured PPV of 12% of [10.2%, 13.9%] and [10.3%, 15.1%] for two selected methods. The predicted range in reference PPV-value changes for a measured absolute change of 1% was [- 1.3%, 3.3%] and [- 1.9%, 4%] for these two methods. We showed that all methods that calculate PPV come with varying degrees of uncertainty. Accounting for bias and precision may have important implications for the interpretation of measured PPV-values or PPV-changes.
Collapse
Affiliation(s)
- Piet A H Wyffels
- Department of Basic and Applied Sciences, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
- Department of Anaesthesiology and Perioperative Medicine, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
| | - Stefan De Hert
- Department of Basic and Applied Sciences, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Anaesthesiology and Perioperative Medicine, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Patrick F Wouters
- Department of Basic and Applied Sciences, Ghent University, Corneel Heymanslaan 10, 9000, Ghent, Belgium
- Department of Anaesthesiology and Perioperative Medicine, Ghent University Hospital, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| |
Collapse
|
5
|
Zhou K, Ran S, Guo Y, Ye H. CAROTID ARTERY ULTRASOUND FOR ASSESSING FLUID RESPONSIVENESS IN PATIENTS UNDERGOING MECHANICAL VENTILATION WITH LOW TIDAL VOLUME AND PRESERVED SPONTANEOUS BREATHING. Shock 2024; 61:360-366. [PMID: 38117132 DOI: 10.1097/shk.0000000000002288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
ABSTRACT Objective : This study aimed to investigate whether changes in carotid artery corrected flow time (ΔFTc bolus ) and carotid artery peak flow velocity respiratory variation (Δ V peak bolus ) induced by the fluid challenge could reliably predict fluid responsiveness in mechanically ventilated patients with a tidal volume < 8 mL/kg Predicted Body Weight while preserving spontaneous breathing. Methods : Carotid artery corrected flow time, Δ V peak, and hemodynamic data were measured before and after administration of 250 mL crystalloids. Fluid responsiveness was defined as a 10% or more increase in stroke volume index as assessed by noninvasive cardiac output monitoring after the fluid challenge. Results : A total of 43 patients with acute circulatory failure were enrolled in this study. Forty-three patients underwent a total of 60 fluid challenges. The ΔFTc bolus and Δ V peak bolus showed a significant difference between the fluid responsiveness positive group (n = 35) and the fluid responsiveness negative group (n = 25). Spearman correlation test showed that ΔFTc bolus and Δ V peak bolus with the relative increase in stroke volume index after fluid expansion ( r = 0.5296, P < 0.0001; r = 0.3175, P = 0.0135). Multiple logistic regression analysis demonstrated that ΔFTc bolus and Δ V peak bolus were significantly correlated with fluid responsiveness in patients with acute circulatory failure. The areas under the receiver operating characteristic curves of ΔFTc bolus and Δ V peak bolus for predicting fluid responsiveness were 0.935 and 0.750, respectively. The optimal cutoff values of ΔFTc bolus and Δ V peak bolus were 0.725 (sensitivity = 97.1%, specificity = 84%) and 4.21% (sensitivity = 65.7%, specificity = 80%), respectively. Conclusion : In mechanically ventilated patients with a tidal volume < 8 mL/kg while preserving spontaneous breathing, ΔFTc bolus and Δ V peak bolus could predict fluid responsiveness. The predictive performance of ΔFTc bolus was superior to Δ V peak bolus .
Collapse
Affiliation(s)
- Kefan Zhou
- Department of Intensive Care Medicine, Changshu Hospital Affiliated to Soochow University, Changshu No. 1 People's Hospital, Suzhou, China
| | | | | | | |
Collapse
|
6
|
De Backer D, Deutschman CS, Hellman J, Myatra SN, Ostermann M, Prescott HC, Talmor D, Antonelli M, Pontes Azevedo LC, Bauer SR, Kissoon N, Loeches IM, Nunnally M, Tissieres P, Vieillard-Baron A, Coopersmith CM. Surviving Sepsis Campaign Research Priorities 2023. Crit Care Med 2024; 52:268-296. [PMID: 38240508 DOI: 10.1097/ccm.0000000000006135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Abstract
OBJECTIVES To identify research priorities in the management, epidemiology, outcome, and pathophysiology of sepsis and septic shock. DESIGN Shortly after publication of the most recent Surviving Sepsis Campaign Guidelines, the Surviving Sepsis Research Committee, a multiprofessional group of 16 international experts representing the European Society of Intensive Care Medicine and the Society of Critical Care Medicine, convened virtually and iteratively developed the article and recommendations, which represents an update from the 2018 Surviving Sepsis Campaign Research Priorities. METHODS Each task force member submitted five research questions on any sepsis-related subject. Committee members then independently ranked their top three priorities from the list generated. The highest rated clinical and basic science questions were developed into the current article. RESULTS A total of 81 questions were submitted. After merging similar questions, there were 34 clinical and ten basic science research questions submitted for voting. The five top clinical priorities were as follows: 1) what is the best strategy for screening and identification of patients with sepsis, and can predictive modeling assist in real-time recognition of sepsis? 2) what causes organ injury and dysfunction in sepsis, how should it be defined, and how can it be detected? 3) how should fluid resuscitation be individualized initially and beyond? 4) what is the best vasopressor approach for treating the different phases of septic shock? and 5) can a personalized/precision medicine approach identify optimal therapies to improve patient outcomes? The five top basic science priorities were as follows: 1) How can we improve animal models so that they more closely resemble sepsis in humans? 2) What outcome variables maximize correlations between human sepsis and animal models and are therefore most appropriate to use in both? 3) How does sepsis affect the brain, and how do sepsis-induced brain alterations contribute to organ dysfunction? How does sepsis affect interactions between neural, endocrine, and immune systems? 4) How does the microbiome affect sepsis pathobiology? 5) How do genetics and epigenetics influence the development of sepsis, the course of sepsis and the response to treatments for sepsis? CONCLUSIONS Knowledge advances in multiple clinical domains have been incorporated in progressive iterations of the Surviving Sepsis Campaign guidelines, allowing for evidence-based recommendations for short- and long-term management of sepsis. However, the strength of existing evidence is modest with significant knowledge gaps and mortality from sepsis remains high. The priorities identified represent a roadmap for research in sepsis and septic shock.
Collapse
Affiliation(s)
- Daniel De Backer
- Department of Intensive Care, CHIREC Hospitals, Université Libre de Bruxelles, Brussels, Belgium
| | - Clifford S Deutschman
- Department of Pediatrics, Cohen Children's Medical Center, Northwell Health, New Hyde Park, NY
- Sepsis Research Lab, the Feinstein Institutes for Medical Research, Manhasset, NY
| | - Judith Hellman
- Department of Anesthesia and Perioperative Care, University of California, San Francisco, CA
| | - Sheila Nainan Myatra
- Department of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Marlies Ostermann
- Department of Critical Care, King's College London, Guy's & St Thomas' Hospital, London, United Kingdom
| | - Hallie C Prescott
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Daniel Talmor
- Department of Anesthesia, Critical Care and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Massimo Antonelli
- Department of Intensive Care, Emergency Medicine and Anesthesiology, Fondazione Policlinico Universitario A.Gemelli IRCCS, Rome, Italy
- Istituto di Anestesiologia e Rianimazione, Università Cattolica del Sacro Cuore, Rome, Italy
| | | | - Seth R Bauer
- Department of Pharmacy, Cleveland Clinic, Cleveland, OH
| | - Niranjan Kissoon
- Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada
| | - Ignacio-Martin Loeches
- Department of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organization (MICRO), St James's Hospital, Leinster, Dublin, Ireland
| | | | - Pierre Tissieres
- Pediatric Intensive Care, Neonatal Medicine and Pediatric Emergency, AP-HP Paris Saclay University, Bicêtre Hospital, Le Kremlin-Bicêtre, France
| | - Antoine Vieillard-Baron
- Service de Medecine Intensive Reanimation, Hopital Ambroise Pare, Universite Paris-Saclay, Le Kremlin-Bicêtre, France
| | | |
Collapse
|
7
|
Wu M, Dai Z, Liang Y, Liu X, Zheng X, Zhang W, Bo J. Respiratory variation in the internal jugular vein does not predict fluid responsiveness in the prone position during adolescent idiopathic scoliosis surgery: a prospective cohort study. BMC Anesthesiol 2023; 23:360. [PMID: 37932674 PMCID: PMC10626766 DOI: 10.1186/s12871-023-02313-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/19/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Respiratory variation in the internal jugular vein (IJVV) has not shown promising results in predicting volume responsiveness in ventilated patients with low tidal volume (Vt) in prone position. We aimed to determine whether the baseline respiratory variation in the IJVV value measured by ultrasound might predict fluid responsiveness in patients with adolescent idiopathic scoliosis (AIS) undergoing posterior spinal fusion (PSF) with low Vt. METHODS According to the fluid responsiveness results, the included patients were divided into two groups: those who responded to volume expansion, denoted the responder group, and those who did not respond, denoted the non-responder group. The primary outcome was determination of the value of baseline IJVV in predicting fluid responsiveness (≥15% increases in stroke volume index (SVI) after 7 ml·kg-1 colloid administration) in patients with AIS undergoing PSF during low Vt ventilation. Secondary outcomes were estimation of the diagnostic performance of pulse pressure variation (PPV), stroke volume variation (SVV), and the combination of IJVV and PPV in predicting fluid responsiveness in this surgical setting. The ability of each parameter to predict fluid responsiveness was assessed using a receiver operating characteristic curve. RESULTS Fifty-six patients were included, 36 (64.29%) of whom were deemed fluid responsive. No significant difference in baseline IJVV was found between responders and non-responders (25.89% vs. 23.66%, p = 0.73), and no correlation was detected between baseline IJVV and the increase in SVI after volume expansion (r = 0.14, p = 0.40). A baseline IJVV greater than 32.00%, SVV greater than 14.30%, PPV greater than 11.00%, and a combination of IJVV and PPV greater than 64.00% had utility in identifying fluid responsiveness, with a sensitivity of 33.33%, 77.78%, 55.56%, and 55.56%, respectively, and a specificity of 80.00%, 50.00%, 65.00%, and 65.00%, respectively. The area under the receiver operating characteristic curve for the baseline values of IJVV, SVV, PPV, and the combination of IJVV and PPV was 0.52 (95% CI, 0.38-0.65, p=0.83), 0.54 (95% CI, 0.40-0.67, p=0.67), 0.58 (95% CI, 0.45-0.71, p=0.31), and 0.57 (95% CI, 0.43-0.71, p=0.37), respectively. CONCLUSIONS Ultrasonic-derived IJVV lacked accuracy in predicting fluid responsiveness in patients with AIS undergoing PSF during low Vt ventilation. In addition, the baseline values of PPV, SVV, and the combination of IJVV and PPV did not predict fluid responsiveness in this surgical setting. TRAIL REGISTRATION This trial was registered at www.chictr.org (ChiCTR2200064947) on 24/10/2022. All data were collected through chart review.
Collapse
Affiliation(s)
- Mimi Wu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China
| | - Zhao Dai
- Department of Anesthesiology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, People's Republic of China
| | - Ying Liang
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China
| | - Xiaojie Liu
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China
| | - Xu Zheng
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China
| | - Wei Zhang
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.
| | - Jinhua Bo
- Department of Anesthesiology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, People's Republic of China.
| |
Collapse
|
8
|
Alvarado Sánchez JI, Caicedo Ruiz JD, Diaztagle Fernández JJ, Cruz Martínez LE, Carreño Hernández FL, Santacruz Herrera CA, Ospina-Tascón GA. Variables influencing the prediction of fluid responsiveness: a systematic review and meta-analysis. Crit Care 2023; 27:361. [PMID: 37730622 PMCID: PMC10510289 DOI: 10.1186/s13054-023-04629-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 08/27/2023] [Indexed: 09/22/2023] Open
Abstract
INTRODUCTION Prediction of fluid responsiveness in acutely ill patients might be influenced by a number of clinical and technical factors. We aim to identify variables potentially modifying the operative performance of fluid responsiveness predictors commonly used in clinical practice. METHODS A sensitive strategy was conducted in the Medline and Embase databases to search for prospective studies assessing the operative performance of pulse pressure variation, stroke volume variation, passive leg raising (PLR), end-expiratory occlusion test (EEOT), mini-fluid challenge, and tidal volume challenge to predict fluid responsiveness in critically ill and acutely ill surgical patients published between January 1999 and February 2023. Adjusted diagnostic odds ratios (DORs) were calculated by subgroup analyses (inverse variance method) and meta-regression (test of moderators). Variables potentially modifying the operative performance of such predictor tests were classified as technical and clinical. RESULTS A total of 149 studies were included in the analysis. The volume used during fluid loading, the method used to assess variations in macrovascular flow (cardiac output, stroke volume, aortic blood flow, volume‒time integral, etc.) in response to PLR/EEOT, and the apneic time selected during the EEOT were identified as technical variables modifying the operative performance of such fluid responsiveness predictor tests (p < 0.05 for all adjusted vs. unadjusted DORs). In addition, the operative performance of fluid responsiveness predictors was also influenced by clinical variables such as the positive end-expiratory pressure (in the case of EEOT) and the dose of norepinephrine used during the fluid responsiveness assessment for PLR and EEOT (for all adjusted vs. unadjusted DORs). CONCLUSION Prediction of fluid responsiveness in critically and acutely ill patients is strongly influenced by a number of technical and clinical aspects. Such factors should be considered for individual intervention decisions.
Collapse
Affiliation(s)
- Jorge Iván Alvarado Sánchez
- Fundación Santa Fe de Bogotá, Department of Intensive Care, Bogotá, Colombia.
- Department of Physiology Sciences, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia.
| | - Juan Daniel Caicedo Ruiz
- Department of Physiology Sciences, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia
| | - Juan José Diaztagle Fernández
- Department of Physiology Sciences, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia
- Department of Internal Medicine, Fundación Universitaria de Ciencias de La Salud. Hospital de San José, Bogotá, Colombia
| | - Luís Eduardo Cruz Martínez
- Department of Physiology Sciences, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia
| | | | | | - Gustavo Adolfo Ospina-Tascón
- Department of Intensive Care, Fundación Valle del Lili, Cali, Colombia
- Translational Research Laboratory in Critical Care Medicine (TransLab-CCM), Universidad Icesi, Cali, Colombia
| |
Collapse
|
9
|
Zitzmann A, Bandorf T, Merz J, Müller-Graf F, Prütz M, Frenkel P, Reuter S, Vollmar B, Fuentes NA, Böhm SH, Reuter DA. Pressure- vs. volume-controlled ventilation and their respective impact on dynamic parameters of fluid responsiveness: a cross-over animal study. BMC Anesthesiol 2023; 23:320. [PMID: 37726649 PMCID: PMC10507836 DOI: 10.1186/s12871-023-02273-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 09/08/2023] [Indexed: 09/21/2023] Open
Abstract
BACKGROUND AND GOAL OF STUDY Pulse pressure variation (PPV) and stroke volume variation (SVV), which are based on the forces caused by controlled mechanical ventilation, are commonly used to predict fluid responsiveness. When PPV and SVV were introduced into clinical practice, volume-controlled ventilation (VCV) with tidal volumes (VT) ≥ 10 ml kg- 1 was most commonly used. Nowadays, lower VT and the use of pressure-controlled ventilation (PCV) has widely become the preferred type of ventilation. Due to their specific flow characteristics, VCV and PCV result in different airway pressures at comparable tidal volumes. We hypothesised that higher inspiratory pressures would result in higher PPVs and aimed to determine the impact of VCV and PCV on PPV and SVV. METHODS In this self-controlled animal study, sixteen anaesthetised, paralysed, and mechanically ventilated (goal: VT 8 ml kg- 1) pigs were instrumented with catheters for continuous arterial blood pressure measurement and transpulmonary thermodilution. At four different intravascular fluid states (IVFS; baseline, hypovolaemia, resuscitation I and II), ventilatory and hemodynamic data including PPV and SVV were assessed during VCV and PCV. Statistical analysis was performed using U-test and RM ANOVA on ranks as well as descriptive LDA and GEE analysis. RESULTS Complete data sets were available of eight pigs. VT and respiratory rates were similar in both forms. Heart rate, central venous, systolic, diastolic, and mean arterial pressures were not different between VCV and PCV at any IVFS. Peak inspiratory pressure was significantly higher in VCV, while plateau, airway and transpulmonary driving pressures were significantly higher in PCV. However, these higher pressures did not result in different PPVs nor SVVs at any IVFS. CONCLUSION VCV and PCV at similar tidal volumes and respiratory rates produced PPVs and SVVs without clinically meaningful differences in this experimental setting. Further research is needed to transfer these results to humans.
Collapse
Affiliation(s)
- Amelie Zitzmann
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany.
| | - Tim Bandorf
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany
| | - Jonas Merz
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany
| | - Fabian Müller-Graf
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany
| | - Maria Prütz
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany
| | - Paul Frenkel
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany
| | - Susanne Reuter
- Rudolf-Zenker Institute for Experimental Surgery, University Medical Centre of Rostock, Rostock, Germany
| | - Brigitte Vollmar
- Rudolf-Zenker Institute for Experimental Surgery, University Medical Centre of Rostock, Rostock, Germany
| | - Nora A Fuentes
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany
- Department of Research, Hospital Privado de Comunidad, Mar del Plata, Argentina
| | - Stephan H Böhm
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany
| | - Daniel A Reuter
- Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Medical Centre of Rostock, Schillingallee 35, 18057, Rostock, Germany
| |
Collapse
|
10
|
Berger D, Werner Moller P, Bachmann KF. Cardiopulmonary interactions-which monitoring tools to use? Front Physiol 2023; 14:1234915. [PMID: 37621761 PMCID: PMC10445648 DOI: 10.3389/fphys.2023.1234915] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 07/18/2023] [Indexed: 08/26/2023] Open
Abstract
Heart-lung interactions occur due to the mechanical influence of intrathoracic pressure and lung volume changes on cardiac and circulatory function. These interactions manifest as respiratory fluctuations in venous, pulmonary, and arterial pressures, potentially affecting stroke volume. In the context of functional hemodynamic monitoring, pulse or stroke volume variation (pulse pressure variation or stroke volume variability) are commonly employed to assess volume or preload responsiveness. However, correct interpretation of these parameters requires a comprehensive understanding of the physiological factors that determine pulse pressure and stroke volume. These factors include pleural pressure, venous return, pulmonary vessel function, lung mechanics, gas exchange, and specific cardiac factors. A comprehensive knowledge of heart-lung physiology is vital to avoid clinical misjudgments, particularly in cases of right ventricular (RV) failure or diastolic dysfunction. Therefore, when selecting monitoring devices or technologies, these factors must be considered. Invasive arterial pressure measurements of variations in breath-to-breath pressure swings are commonly used to monitor heart-lung interactions. Echocardiography or pulmonary artery catheters are valuable tools for differentiating preload responsiveness from right ventricular failure, while changes in diastolic function should be assessed alongside alterations in airway or pleural pressure, which can be approximated by esophageal pressure. In complex clinical scenarios like ARDS, combined forms of shock or right heart failure, additional information on gas exchange and pulmonary mechanics aids in the interpretation of heart-lung interactions. This review aims to describe monitoring techniques that provide clinicians with an integrative understanding of a patient's condition, enabling accurate assessment and patient care.
Collapse
Affiliation(s)
- David Berger
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Per Werner Moller
- Department of Anaesthesia, SV Hospital Group, Institute of Clinical Sciences at the Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaspar F. Bachmann
- Department of Intensive Care Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Anaesthesiology and Intensive Care, University of Tartu, Tartu, Estonia
| |
Collapse
|
11
|
Benes J, Kasperek J, Smekalova O, Tegl V, Kletecka J, Zatloukal J. Individualizing Fluid Management in Patients with Acute Respiratory Distress Syndrome and with Reduced Lung Tissue Due to Surgery—A Narrative Review. J Pers Med 2023; 13:jpm13030486. [PMID: 36983668 PMCID: PMC10056120 DOI: 10.3390/jpm13030486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/28/2023] [Accepted: 03/03/2023] [Indexed: 03/11/2023] Open
Abstract
Fluids are the cornerstone of therapy in all critically ill patients. During the last decades, we have made many steps to get fluid therapy personalized and based on individual needs. In patients with lung involvement—acute respiratory distress syndrome—finding the right amount of fluids after lung surgery may be extremely important because lung tissue is one of the most vulnerable to fluid accumulation. In the current narrative review, we focus on the actual perspectives of fluid therapy with the aim of showing the possibilities to tailor the treatment to a patient’s individual needs using fluid responsiveness parameters and other therapeutic modalities.
Collapse
Affiliation(s)
- Jan Benes
- Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
- Department of Anesthesiology and Intensive Care Medicine, University Hospital in Plzen, 32300 Plzeň, Czech Republic
- Biomedical Centre, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
- Correspondence:
| | - Jiri Kasperek
- Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
- Fachkrankenhaus Coswig GmbH, Zentrum für Pneumologie, Allergologie, Beatmungsmedizin, Thoraxchirurgie, 01640 Coswig, Germany
| | - Olga Smekalova
- Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
- Department of Anesthesiology and Intensive Care Medicine, University Hospital in Plzen, 32300 Plzeň, Czech Republic
| | - Vaclav Tegl
- Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
- Department of Anesthesiology and Intensive Care Medicine, University Hospital in Plzen, 32300 Plzeň, Czech Republic
- Biomedical Centre, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
| | - Jakub Kletecka
- Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
- Department of Anesthesiology and Intensive Care Medicine, University Hospital in Plzen, 32300 Plzeň, Czech Republic
| | - Jan Zatloukal
- Department of Anesthesiology and Intensive Care Medicine, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
- Department of Anesthesiology and Intensive Care Medicine, University Hospital in Plzen, 32300 Plzeň, Czech Republic
- Biomedical Centre, Faculty of Medicine in Plzen, Charles University, 32300 Plzen, Czech Republic
| |
Collapse
|