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Chaves RCDF, Barbas CSV, Queiroz VNF, Serpa Neto A, Deliberato RO, Pereira AJ, Timenetsky KT, Silva Júnior JM, Takaoka F, de Backer D, Celi LA, Corrêa TD. Assessment of fluid responsiveness using pulse pressure variation, stroke volume variation, plethysmographic variability index, central venous pressure, and inferior vena cava variation in patients undergoing mechanical ventilation: a systematic review and meta-analysis. Crit Care 2024; 28:289. [PMID: 39217370 PMCID: PMC11366151 DOI: 10.1186/s13054-024-05078-9] [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: 06/19/2024] [Accepted: 08/24/2024] [Indexed: 09/04/2024] Open
Abstract
IMPORTANCE Maneuvers assessing fluid responsiveness before an intravascular volume expansion may limit useless fluid administration, which in turn may improve outcomes. OBJECTIVE To describe maneuvers for assessing fluid responsiveness in mechanically ventilated patients. REGISTRATION The protocol was registered at PROSPERO: CRD42019146781. INFORMATION SOURCES AND SEARCH PubMed, EMBASE, CINAHL, SCOPUS, and Web of Science were search from inception to 08/08/2023. STUDY SELECTION AND DATA COLLECTION Prospective and intervention studies were selected. STATISTICAL ANALYSIS Data for each maneuver were reported individually and data from the five most employed maneuvers were aggregated. A traditional and a Bayesian meta-analysis approach were performed. RESULTS A total of 69 studies, encompassing 3185 fluid challenges and 2711 patients were analyzed. The prevalence of fluid responsiveness was 49.9%. Pulse pressure variation (PPV) was studied in 40 studies, mean threshold with 95% confidence intervals (95% CI) = 11.5 (10.5-12.4)%, and area under the receiver operating characteristics curve (AUC) with 95% CI was 0.87 (0.84-0.90). Stroke volume variation (SVV) was studied in 24 studies, mean threshold with 95% CI = 12.1 (10.9-13.3)%, and AUC with 95% CI was 0.87 (0.84-0.91). The plethysmographic variability index (PVI) was studied in 17 studies, mean threshold = 13.8 (12.3-15.3)%, and AUC was 0.88 (0.82-0.94). Central venous pressure (CVP) was studied in 12 studies, mean threshold with 95% CI = 9.0 (7.7-10.1) mmHg, and AUC with 95% CI was 0.77 (0.69-0.87). Inferior vena cava variation (∆IVC) was studied in 8 studies, mean threshold = 15.4 (13.3-17.6)%, and AUC with 95% CI was 0.83 (0.78-0.89). CONCLUSIONS Fluid responsiveness can be reliably assessed in adult patients under mechanical ventilation. Among the five maneuvers compared in predicting fluid responsiveness, PPV, SVV, and PVI were superior to CVP and ∆IVC. However, there is no data supporting any of the above mentioned as being the best maneuver. Additionally, other well-established tests, such as the passive leg raising test, end-expiratory occlusion test, and tidal volume challenge, are also reliable.
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Affiliation(s)
- Renato Carneiro de Freitas Chaves
- Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
- Department of Anesthesiology, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.
- Department of Pneumology, Instituto do Coração (INCOR), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
- MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA.
- Department of Critical Care Medicine and Anesthesiology, Hospital Israelita Albert Einstein, Avenida Albert Einstein, 627/701, 5° Floor, São Paulo, SP, 05651-901, Brazil.
| | - Carmen Silvia Valente Barbas
- Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
- Department of Pneumology, Instituto do Coração (INCOR), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Veronica Neves Fialho Queiroz
- Department of Anesthesiology, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
- Department of Anesthesiology, Takaoka Anestesia, São Paulo, SP, Brazil
| | - Ary Serpa Neto
- Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
- Australian and New Zealand Intensive Care Research Centre (ANZIC-RC), Melbourne, VIC, Australia
- Department of Intensive Care, Melbourne Medical School, University of Melbourne, Austin Hospital, Melbourne, Australia
| | - Rodrigo Octavio Deliberato
- MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
- Translational Health Intelligence and Knowledge Lab, Department of Biostatistics, Health Informatics and Data Science, University of Cincinnati, Cincinnati, OH, USA
- Division of Biomedical Informatics, Cincinnati Children's Hospital, Cincinnati, OH, USA
| | - Adriano José Pereira
- Department of Intensive Care, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
| | | | | | - Flávio Takaoka
- Department of Anesthesiology, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil
- Department of Anesthesiology, Takaoka Anestesia, São Paulo, SP, Brazil
| | - Daniel de Backer
- Department of Intensive Care, CHIREC Hospitals, Université Libre de Bruxelles, Brussels, Belgium
| | - Leo Anthony Celi
- MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, USA
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Bitker L, Noirot I, Chauvelot L, Mezidi M, Dhelft F, Gaillet M, Yonis H, Deniel G, Richard JC. Bias, trending ability and diagnostic performance of a non-calibrated multi-beat analysis continuous cardiac output monitor to identify fluid responsiveness in critically ill patients. CRIT CARE RESUSC 2024; 26:108-115. [PMID: 39072233 PMCID: PMC11282375 DOI: 10.1016/j.ccrj.2024.04.003] [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: 02/23/2024] [Revised: 04/26/2024] [Accepted: 04/28/2024] [Indexed: 07/30/2024]
Abstract
Objective To evaluate the accuracy of non-calibrated multi-beat analysis continuous cardiac output (CCOMBA), against calibrated pulse-contour analysis continuous cardiac output (CCOPCA) during a passive leg raise (PLR) and/or a fluid challenge (FC). Design Observational, single-centre, prospective study. Setting Tertiary academic medical intensive care unit, Lyon, France. Participants Adult patients receiving norepinephrine, monitored by CCOPCA, and in which a PLR and/or a FC was indicated. Main outcome measures CCOMBA and CCOPCA were recorded prior to and during the PLR/FC to evaluate bias and evaluate changes in CCOMBA and CCOPCA (∆%CCOMBA and ∆%CCOPCA). Fluid responsiveness was identified by an increase >15% in calibrated cardiac output after FC, to identify the optimal ∆%CCOMBA threshold during PLR to predict fluid responsiveness. Results 29 patients (median age 68 [IQR: 57-74]) performed 28 PLR and 16 FC. The bias between methods increased with higher CCOPCA values, with a percentage error of 64% (95%confidence interval: 52%-77%). ∆%CCOMBA adequately tracked changes in ∆%CCOPCA with an angular bias of 2 ± 29°. ∆%CCOMBA during PLR had an AUROC of 0.92 (P < 0.05), with an optimal threshold >14% to predict fluid responsiveness (sensitivity: 0.99, specificity: 0.87). Conclusions CCOMBA showed a non-constant bias and a percentage error >30% against calibrated CCOPCA, but an adequate ability to track changes in CCOPCA and to predict fluid responsiveness.
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Affiliation(s)
- Laurent Bitker
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France
- Université de Lyon, Université Claude Bernard Lyon 1, Villeurbanne, France
| | - Inès Noirot
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - Louis Chauvelot
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - Mehdi Mezidi
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - François Dhelft
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - Maxime Gaillet
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
- Université de Lyon, Université Claude Bernard Lyon 1, Villeurbanne, France
| | - Hodane Yonis
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - Guillaume Deniel
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France
- Université de Lyon, Université Claude Bernard Lyon 1, Villeurbanne, France
| | - Jean-Christophe Richard
- Service de Médecine Intensive – Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
- Univ Lyon, Université Claude Bernard Lyon 1, INSA-Lyon, CNRS, INSERM, CREATIS UMR 5220, U1294, Villeurbanne, France
- Université de Lyon, Université Claude Bernard Lyon 1, Villeurbanne, France
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Zhao Z, Zhang Z, Liu J, Xia Z, Xing Q, Zhang Y, Zheng Y, Shen L, Lin Q, Gu D, Wang P, Zhang S, Li F, Zhu B. Supine transfer test-induced changes in cardiac index predict fluid responsiveness in patients without intra-abdominal hypertension. BMC Anesthesiol 2023; 23:318. [PMID: 37723480 PMCID: PMC10506238 DOI: 10.1186/s12871-023-02280-0] [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: 07/06/2023] [Accepted: 09/14/2023] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND The reversible maneuver that mimics the fluid challenge is a widely used test for evaluating volume responsiveness. However, passive leg raising (PLR) does have certain limitations. The aim of the study is to determine whether the supine transfer test could predict fluid responsiveness in adult patients with acute circulatory failure who do not have intra-abdominal hypertension, by measuring changes in cardiac index (CI). METHODS Single-center, prospective clinical study in a 25-bed surgery intensive care unit at the Fudan University Shanghai Cancer Center. Thirty-four patients who presented with acute circulatory failure and were scheduled for fluid therapy. Every patient underwent supine transfer test and fluid challenge with 500 mL saline for 15-30 min. There were four sequential steps in the protocol: (1) baseline-1: a semi-recumbent position with the head of the bed raised to 45°; (2) supine transfer test: patients were transferred from the 45° semi-recumbent position to the strict supine position; (3) baseline-2: return to baseline-1 position; and (4) fluid challenge: administration of 500 mL saline for 15-30 min. Hemodynamic parameters were recorded at each step with arterial pulse contour analysis (ProAQT/Pulsioflex). A fluid responder was defined as an increase in CI ≥ 15% after fluid challenge. The receiver operating characteristic curve and gray zone were defined for CI. RESULTS Seventeen patients were fluid challenge. The r value of the linear correlations was 0.73 between the supine transfer test- and fluid challenge-induced relative CI changes. The relative changes in CI induced by supine transfer in predicting fluid responsiveness had an area under the receiver operating characteristic curve of 0.88 (95% confidence interval 0.72-0.97) and predicted a fluid responder with 76.5% (95% confidence interval 50.1-93.2) sensitivity and 88.2% (95% confidence interval 63.6-98.5) specificity, at a best threshold of 5.5%. Nineteen (55%) patients were in the gray zone (CI ranging from -3 and 8 L/min/m2). CONCLUSION The supine transfer test can potentially assist in detecting fluid responsiveness in patients with acute circulatory failure without intra-abdominal hypertension. Nevertheless, the small threshold and the 55% gray zone were noteworthy limitation. TRIAL REGISTRATION Predicting fluid responsiveness with supine transition test (ChiCTR2200058264). Registered 2022-04-04 and last refreshed on 2023-03-26, https://www.chictr.org.cn/showproj.html?proj=166175 .
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Affiliation(s)
- Zhiyong Zhao
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Zhongwei Zhang
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Jing Liu
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Zhili Xia
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Qian Xing
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yaodong Zhang
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yijun Zheng
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Lihua Shen
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Qionghua Lin
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Danyan Gu
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Pengmei Wang
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Shan Zhang
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Fangfang Li
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Biao Zhu
- Department of Critical Care, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
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D'Arrigo S, Dell'Anna AM, Sandroni C, Messina A, Cacciola S, Pacini C, Antonelli M. Can carotid artery Doppler variations induced by the end-expiratory occlusion maneuver predict fluid responsiveness in septic shock patients? Crit Care 2023; 27:153. [PMID: 37076861 PMCID: PMC10116770 DOI: 10.1186/s13054-023-04422-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 03/30/2023] [Indexed: 04/21/2023] Open
Abstract
BACKGROUND An increase in cardiac index (CI) during an end-expiratory occlusion test (EEOt) predicts fluid responsiveness in ventilated patients. However, if CI monitoring is unavailable or the echocardiographic window is difficult, using the carotid Doppler (CD) could be a feasible alternative to track CI changes. This study investigates whether changes in CD peak velocity (CDPV) and corrected flow time (cFT) during an EEOt were correlated with CI changes and if CDPV and cFT changes predicted fluid responsiveness in patients with septic shock. METHODS Prospective, single-center study in adults with hemodynamic instability. The CDPV and cFT on carotid artery Doppler and hemodynamic variables from the pulse contour analysis EV1000™ were recorded at baseline, during a 20-s EEOt, and after fluid challenge (500 mL). We defined responders as those who increased CI ≥ 15% after a fluid challenge. RESULTS We performed 44 measurements in 18 mechanically ventilated patients with septic shock and without arrhythmias. The fluid responsiveness rate was 43.2%. The changes in CDPV were significantly correlated with changes in CI during EEOt (r = 0.51 [0.26-0.71]). A significant, albeit lower correlation, was found for cFT (r = 0.35 [0.1-0.58]). An increase in CI ≥ 5.35% during EEOt predicted fluid responsiveness with 78.9% sensitivity and 91.7% specificity, with an area under the ROC curve (AUROC) of 0.85. An increase in CDPV ≥ 10.5% during an EEOt predicted fluid responsiveness with 96.2% specificity and 53.0% sensitivity with an AUROC of 0.74. Sixty-one percent of CDPV measurements (from - 13.5 to 9.5 cm/s) fell within the gray zone. The cFT changes during EEOt did not accurately predict fluid responsiveness. CONCLUSIONS In septic shock patients without arrhythmias, an increase in CDPV greater than 10.5% during a 20-s EEOt predicted fluid responsiveness with > 95% specificity. Carotid Doppler combined with EEOt may help optimize preload when invasive hemodynamic monitoring is unavailable. However, the 61% gray zone is a major limitation (retrospectively registered on Clinicaltrials.gov NCT04470856 on July 14, 2020).
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Affiliation(s)
- Sonia D'Arrigo
- Department of Anesthesia and Intensive Care, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 8, 00168, Rome, Italy
| | - Antonio Maria Dell'Anna
- Department of Anesthesia and Intensive Care, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 8, 00168, Rome, Italy
| | - Claudio Sandroni
- Department of Anesthesia and Intensive Care, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 8, 00168, Rome, Italy.
| | - Antonio Messina
- Humanitas Clinical and Research Center - IRCCS, Rozzano, Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
| | - Sofia Cacciola
- Department of Anesthesia and Intensive Care, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 8, 00168, Rome, Italy
| | - Chiara Pacini
- Department of Anesthesia and Intensive Care, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 8, 00168, Rome, Italy
| | - Massimo Antonelli
- Department of Anesthesia and Intensive Care, Fondazione Policlinico Universitario 'A. Gemelli' IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 8, 00168, Rome, Italy
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Monnet X, Lai C, Teboul JL. How I personalize fluid therapy in septic shock? Crit Care 2023; 27:123. [PMID: 36964573 PMCID: PMC10039545 DOI: 10.1186/s13054-023-04363-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 02/17/2023] [Indexed: 03/26/2023] Open
Abstract
During septic shock, fluid therapy is aimed at increasing cardiac output and improving tissue oxygenation, but it poses two problems: it has inconsistent and transient efficacy, and it has many well-documented deleterious effects. We suggest that there is a place for its personalization according to the patient characteristics and the clinical situation, at all stages of circulatory failure. Regarding the choice of fluid for volume expansion, isotonic saline induces hyperchloremic acidosis, but only for very large volumes administered. We suggest that balanced solutions should be reserved for patients who have already received large volumes and in whom the chloremia is rising. The initial volume expansion, intended to compensate for the constant hypovolaemia in the initial phase of septic shock, cannot be adapted to the patient's weight only, as suggested by the Surviving Sepsis Campaign, but should also consider potential absolute hypovolemia induced by fluid losses. After the initial fluid infusion, preload responsiveness may rapidly disappear, and it should be assessed. The choice between tests used for this purpose depends on the presence or absence of mechanical ventilation, the monitoring in place and the risk of fluid accumulation. In non-intubated patients, the passive leg raising test and the mini-fluid challenge are suitable. In patients without cardiac output monitoring, tests like the tidal volume challenge, the passive leg raising test and the mini-fluid challenge can be used as they can be performed by measuring changes in pulse pressure variation, assessed through an arterial line. The mini-fluid challenge should not be repeated in patients who already received large volumes of fluids. The variables to assess fluid accumulation depend on the clinical condition. In acute respiratory distress syndrome, pulmonary arterial occlusion pressure, extravascular lung water and pulmonary vascular permeability index assess the risk of worsening alveolar oedema better than arterial oxygenation. In case of abdominal problems, the intra-abdominal pressure should be taken into account. Finally, fluid depletion in the de-escalation phase is considered in patients with significant fluid accumulation. Fluid removal can be guided by preload responsiveness testing, since haemodynamic deterioration is likely to occur in patients with a preload dependent state.
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Affiliation(s)
- Xavier Monnet
- AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU 4 CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, Université Paris-Saclay, 78 Rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France.
| | - Christopher Lai
- AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU 4 CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, Université Paris-Saclay, 78 Rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France
| | - Jean-Louis Teboul
- AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU 4 CORREVE, Inserm UMR S_999, FHU SEPSIS, CARMAS, Université Paris-Saclay, 78 Rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France
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Lai C, Monnet X, Teboul JL. Hemodynamic Implications of Prone Positioning in Patients with ARDS. Crit Care 2023; 27:98. [PMID: 36941694 PMCID: PMC10027593 DOI: 10.1186/s13054-023-04369-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023] Open
Abstract
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2023. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2023 . Further information about the Annual Update in Intensive Care and Emergency Medicine is available from https://link.springer.com/bookseries/8901 .
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Affiliation(s)
- Christopher Lai
- AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, Groupe de Recherche Clinique CARMAS, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
| | - Xavier Monnet
- AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, Groupe de Recherche Clinique CARMAS, Université Paris-Saclay, Le Kremlin-Bicêtre, France
| | - Jean-Louis Teboul
- AP-HP, Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, DMU CORREVE, Inserm UMR S_999, FHU SEPSIS, Groupe de Recherche Clinique CARMAS, Université Paris-Saclay, Le Kremlin-Bicêtre, France
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Does tidal volume challenge improve the feasibility of pulse pressure variation in patients mechanically ventilated at low tidal volumes? A systematic review and meta-analysis. Crit Care 2023; 27:45. [PMID: 36732851 PMCID: PMC9893685 DOI: 10.1186/s13054-023-04336-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 01/25/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Pulse pressure variation (PPV) has been widely used in hemodynamic assessment. Nevertheless, PPV is limited in low tidal volume ventilation. We conducted this systematic review and meta-analysis to evaluate whether the tidal volume challenge (TVC) could improve the feasibility of PPV in patients ventilated at low tidal volumes. METHODS PubMed, Embase and Cochrane Library inception to October 2022 were screened for diagnostic researches relevant to the predictability of PPV change after TVC in low tidal volume ventilatory patients. Summary receiving operating characteristic curve (SROC), pooled sensitivity and specificity were calculated. Subgroup analyses were conducted for possible influential factors of TVC. RESULTS Ten studies with a total of 429 patients and 457 measurements were included for analysis. The predictive performance of PPV was significantly lower than PPV change after TVC in low tidal volume, with mean area under the receiving operating characteristic curve (AUROC) of 0.69 ± 0.13 versus 0.89 ± 0.10. The SROC of PPV change yielded an area under the curve of 0.96 (95% CI 0.94, 0.97), with overall pooled sensitivity and specificity of 0.92 (95% CI 0.83, 0.96) and 0.88 (95% CI 0.76, 0.94). Mean and median cutoff value of the absolute change of PPV (△PPV) were 2.4% and 2%, and that of the percentage change of PPV (△PPV%) were 25% and 22.5%. SROC of PPV change in ICU group, supine or semi-recumbent position group, lung compliance less than 30 cm H2O group, moderate positive end-expiratory pressure (PEEP) group and measurements devices without transpulmonary thermodilution group yielded 0.95 (95%0.93, 0.97), 0.95 (95% CI 0.92, 0.96), 0.96 (95% CI 0.94, 0.97), 0.95 (95% CI 0.93, 0.97) and 0.94 (95% CI 0.92, 0.96) separately. The lowest AUROCs of PPV change were 0.59 (95% CI 0.31, 0.88) in prone position and 0.73 (95% CI 0.60, 0.84) in patients with spontaneous breathing activity. CONCLUSIONS TVC is capable to help PPV overcome limitations in low tidal volume ventilation, wherever in ICU or surgery. The accuracy of TVC is not influenced by reduced lung compliance, moderate PEEP and measurement tools, but TVC should be cautious applied in prone position and patients with spontaneous breathing activity. Trial registration PROSPERO (CRD42022368496). Registered on 30 October 2022.
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Jacquet-Lagrèze M, Ruste M, Fornier W, Jacquemet PL, Schweizer R, Fellahi JL. Refilling and preload dependence failed to predict cardiac index decrease during fluid removal with continuous renal replacement therapy. J Nephrol 2023; 36:187-197. [PMID: 36121642 DOI: 10.1007/s40620-022-01407-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 07/14/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Fluid removal can reduce the burden of fluid overload after initial resuscitation. According to the Frank-Starling model, iatrogenic hypovolemia should induce a decrease in cardiac index. We hypothesized that inadequate refilling detected by haemoconcentration during fluid removal or an increase in cardiac index (CI) during passive leg raising (PLR) could predict CI decrease during mechanical fluid removal with continuous renal replacement therapy (CRRT). METHODS We conducted a single-centre prospective diagnostic accuracy study. The primary objective was to investigate the diagnostic performance of plasma protein concentration variations in detecting a CI decrease ≥ 12% during mechanical fluid removal. Secondary objective was to assess other predictive factors of CI change. The attending physician prescribed a fluid removal challenge consisting of a mechanical fluid removal challenge of 500 mL for one hour. Plasma protein concentration, haemoglobin level, PLR and transpulmonary thermodilution were done before and after the fluid removal challenge. RESULTS We included 69 adult patients between December 2016 and April 2020. Sixteen patients had a significant CI decrease (23% [95% CI 14-35]). Haemoconcentration and PLR before fluid removal challenge or CI trending failed to predict CI decrease. CONCLUSION Haemoconcentration variables, preload dependence status and CI trending failed to predict CI decrease during fluid removal challenge.
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Affiliation(s)
- Matthias Jacquet-Lagrèze
- Department of Anesthesiology and Intensive Care, University Hospital Louis Pradel, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500, Lyon, France. .,Faculty of Medicine Lyon-Est, University Claude Bernard Lyon 1, 69373, Lyon, France. .,Laboratoire CarMeN, Inserm UMR 1060, University Claude Bernard Lyon 1, Lyon, France.
| | - Martin Ruste
- Department of Anesthesiology and Intensive Care, University Hospital Louis Pradel, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500, Lyon, France.,Faculty of Medicine Lyon-Est, University Claude Bernard Lyon 1, 69373, Lyon, France
| | - William Fornier
- Department of Anesthesiology and Intensive Care, University Hospital Louis Pradel, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500, Lyon, France
| | - Pierre-Louis Jacquemet
- Department of Anesthesiology and Intensive Care, University Hospital Louis Pradel, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500, Lyon, France
| | - Remi Schweizer
- Department of Anesthesiology and Intensive Care, University Hospital Louis Pradel, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500, Lyon, France
| | - Jean-Luc Fellahi
- Department of Anesthesiology and Intensive Care, University Hospital Louis Pradel, Hospices Civils de Lyon, 59 Boulevard Pinel, 69500, Lyon, France.,Faculty of Medicine Lyon-Est, University Claude Bernard Lyon 1, 69373, Lyon, France.,Laboratoire CarMeN, Inserm UMR 1060, University Claude Bernard Lyon 1, Lyon, France
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9
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Shi R, Ayed S, Moretto F, Azzolina D, De Vita N, Gavelli F, Carelli S, Pavot A, Lai C, Monnet X, Teboul JL. Tidal volume challenge to predict preload responsiveness in patients with acute respiratory distress syndrome under prone position. Crit Care 2022; 26:219. [PMID: 35850771 PMCID: PMC9294836 DOI: 10.1186/s13054-022-04087-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 06/29/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Prone position is frequently used in patients with acute respiratory distress syndrome (ARDS), especially during the Coronavirus disease 2019 pandemic. Our study investigated the ability of pulse pressure variation (PPV) and its changes during a tidal volume challenge (TVC) to assess preload responsiveness in ARDS patients under prone position.
Methods
This was a prospective study conducted in a 25-bed intensive care unit at a university hospital. We included patients with ARDS under prone position, ventilated with 6 mL/kg tidal volume and monitored by a transpulmonary thermodilution device. We measured PPV and its changes during a TVC (ΔPPV TVC6–8) after increasing the tidal volume from 6 to 8 mL/kg for one minute. Changes in cardiac index (CI) during a Trendelenburg maneuver (ΔCITREND) and during end-expiratory occlusion (EEO) at 8 mL/kg tidal volume (ΔCI EEO8) were recorded. Preload responsiveness was defined by both ΔCITREND ≥ 8% and ΔCI EEO8 ≥ 5%. Preload unresponsiveness was defined by both ΔCITREND < 8% and ΔCI EEO8 < 5%.
Results
Eighty-four sets of measurements were analyzed in 58 patients. Before prone positioning, the ratio of partial pressure of arterial oxygen to fraction of inspired oxygen was 104 ± 27 mmHg. At the inclusion time, patients were under prone position for 11 (2–14) hours. Norepinephrine was administered in 83% of cases with a dose of 0.25 (0.15–0.42) µg/kg/min. The positive end-expiratory pressure was 14 (11–16) cmH2O. The driving pressure was 12 (10–17) cmH2O, and the respiratory system compliance was 32 (22–40) mL/cmH2O. Preload responsiveness was detected in 42 cases. An absolute change in PPV ≥ 3.5% during a TVC assessed preload responsiveness with an area under the receiver operating characteristics (AUROC) curve of 0.94 ± 0.03 (sensitivity: 98%, specificity: 86%) better than that of baseline PPV (0.85 ± 0.05; p = 0.047). In the 56 cases where baseline PPV was inconclusive (≥ 4% and < 11%), ΔPPV TVC6–8 ≥ 3.5% still enabled to reliably assess preload responsiveness (AUROC: 0.91 ± 0.05, sensitivity: 97%, specificity: 81%; p < 0.01 vs. baseline PPV).
Conclusion
In patients with ARDS under low tidal volume ventilation during prone position, the changes in PPV during a TVC can reliably assess preload responsiveness without the need for cardiac output measurements.
Trial registration: ClinicalTrials.gov (NCT04457739). Registered 30 June 2020 —Retrospectively registered, https://clinicaltrials.gov/ct2/show/record/NCT04457739
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10
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Messina A, Calabrò L, Pugliese L, Lulja A, Sopuch A, Rosalba D, Morenghi E, Hernandez G, Monnet X, Cecconi M. Fluid challenge in critically ill patients receiving haemodynamic monitoring: a systematic review and comparison of two decades. Crit Care 2022; 26:186. [PMID: 35729632 PMCID: PMC9210670 DOI: 10.1186/s13054-022-04056-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/07/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Introduction
Fluid challenges are widely adopted in critically ill patients to reverse haemodynamic instability. We reviewed the literature to appraise fluid challenge characteristics in intensive care unit (ICU) patients receiving haemodynamic monitoring and considered two decades: 2000–2010 and 2011–2021.
Methods
We assessed research studies and collected data regarding study setting, patient population, fluid challenge characteristics, and monitoring. MEDLINE, Embase, and Cochrane search engines were used. A fluid challenge was defined as an infusion of a definite quantity of fluid (expressed as a volume in mL or ml/kg) in a fixed time (expressed in minutes), whose outcome was defined as a change in predefined haemodynamic variables above a predetermined threshold.
Results
We included 124 studies, 32 (25.8%) published in 2000–2010 and 92 (74.2%) in 2011–2021, overall enrolling 6,086 patients, who presented sepsis/septic shock in 50.6% of cases. The fluid challenge usually consisted of 500 mL (76.6%) of crystalloids (56.6%) infused with a rate of 25 mL/min. Fluid responsiveness was usually defined by a cardiac output/index (CO/CI) increase ≥ 15% (70.9%). The infusion time was quicker (15 min vs 30 min), and crystalloids were more frequent in the 2011–2021 compared to the 2000–2010 period.
Conclusions
In the literature, fluid challenges are usually performed by infusing 500 mL of crystalloids bolus in less than 20 min. A positive fluid challenge response, reported in 52% of ICU patients, is generally defined by a CO/CI increase ≥ 15%. Compared to the 2000–2010 decade, in 2011–2021 the infusion time of the fluid challenge was shorter, and crystalloids were more frequently used.
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11
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Bitker L, Pradat P, Dupuis C, Klouche K, Illinger J, Souweine B, Richard JC. Fluid balance neutralization secured by hemodynamic monitoring versus protocolized standard of care in critically ill patients requiring continuous renal replacement therapy: study protocol of the GO NEUTRAL randomized controlled trial. Trials 2022; 23:798. [PMID: 36138465 PMCID: PMC9494882 DOI: 10.1186/s13063-022-06735-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 09/12/2022] [Indexed: 11/17/2022] Open
Abstract
Background Fluid overload is associated with worse outcome in critically ill patients requiring continuous renal replacement therapy (CRRT). Net ultrafiltration (UFNET) allows precise control of the fluid removal but is frequently ceased due to hemodynamic instability episodes. However, approximately 50% of the hemodynamic instability episodes in ICU patients treated with CRRT are not associated with preload dependence (i.e., are not related to a decrease in cardiac preload), suggesting that volume removal is not responsible for these episodes of hemodynamic impairment. The use of advanced hemodynamic monitoring, comprising continuous cardiac output monitoring to repeatedly assess preload dependency, could allow securing UFNET to allow fluid balance control and prevent fluid overload. Methods The GO NEUTRAL trial is a multicenter, open-labeled, randomized, controlled, superiority trial with parallel groups and balanced randomization with a 1:1 ratio. The trial will enroll adult patients with acute circulatory failure treated with vasopressors and severe acute kidney injury requiring CRRT who already have been equipped with a continuous cardiac output monitoring device. After informed consent, patients will be randomized into two groups. The control group will receive protocolized fluid removal with an UFNET rate set to 0–25 ml h−1 between inclusion and H72 of inclusion. The intervention group will be treated with an UFNET rate set on the CRRT of at least 100 ml h−1 between inclusion and H72 of inclusion if hemodynamically tolerated based on a protocolized hemodynamic protocol aiming to adjust UFNET based on cardiac output, arterial lactate concentration, and preload dependence assessment by postural maneuvers, performed regularly during nursing rounds, and in case of a hemodynamic instability episode. The primary outcome of the study will be the cumulative fluid balance between inclusion and H72 of inclusion. Randomization will be generated using random block sizes and stratified based on fluid overload status at inclusion. The main outcome will be analyzed in the modified intention-to-treat population, defined as all alive patients at H72 of inclusion, based on their initial allocation group. Discussion We present in the present protocol all study procedures in regard to the achievement of the GO NEUTRAL trial, to prevent biased analysis of trial outcomes and improve the transparency of the trial result report. Enrollment of patients in the GO NEUTRAL trial has started on June 31, 2021, and is ongoing. Trial registration ClinicalTrials.gov NCT04801784. Registered on March 12, 2021, before the start of inclusion. Supplementary Information The online version contains supplementary material available at 10.1186/s13063-022-06735-6.
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Affiliation(s)
- Laurent Bitker
- Service de Médecine Intensive - Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France. .,Université Claude Bernard Lyon 1, Lyon, France. .,Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Villeurbanne, France.
| | - Pierre Pradat
- Centre de Recherche Clinique, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - Claire Dupuis
- Service de Médecine Intensive - Réanimation, hôpital Gabriel Montpied, Clermont Ferrand, France
| | - Kada Klouche
- Service de Médecine Intensive - Réanimation, Hôpital Lapeyronnie, Montpellier, France
| | - Julien Illinger
- Service de Médecine Intensive - Réanimation, hôpital Nord-Ouest, Villefranche sur Saône, France
| | - Bertrand Souweine
- Service de Médecine Intensive - Réanimation, hôpital Gabriel Montpied, Clermont Ferrand, France
| | - Jean-Christophe Richard
- Service de Médecine Intensive - Réanimation, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France.,Université Claude Bernard Lyon 1, Lyon, France.,Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, CNRS, Inserm, CREATIS UMR 5220, U1294, Villeurbanne, France
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12
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Strandby RB, Secher NH, Ambrus R, Gøtze JP, Henriksen A, Kitchen CC, Achiam MP, Svendsen LB. Mid‐regional plasma pro‐atrial natriuretic peptide and stroke volume responsiveness for detecting deviations in central blood volume following major abdominal surgery. Acta Anaesthesiol Scand 2022; 66:1061-1069. [PMID: 36069352 PMCID: PMC9543860 DOI: 10.1111/aas.14126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 07/10/2022] [Accepted: 07/27/2022] [Indexed: 11/30/2022]
Abstract
Background A reduced central blood volume is reflected by a decrease in mid‐regional plasma pro‐atrial natriuretic peptide (MR‐proANP), a stable precursor of ANP, and a volume deficit may also be assessed by the stroke volume (SV) response to head‐down tilt (HDT). We determined plasma MR‐proANP during major abdominal procedures and evaluated whether the patients were volume responsive by the end of the surgery, taking the fluid balance and the crystalloid/colloid ratio into account. Methods Patients undergoing pancreatic (n = 25), liver (n = 25), or gastroesophageal (n = 38) surgery were included prospectively. Plasma MR‐proANP was determined before and after surgery, and the fluid response was assessed by the SV response to 10° HDT after the procedure. The fluid strategy was based mainly on lactated Ringer's solution for gastroesophageal procedures, while for pancreas and liver surgery, more human albumin 5% was administered. Results Plasma MR‐proANP decreased for patients undergoing gastroesophageal surgery (−9% [95% CI −3.2 to −15.3], p = .004) and 10 patients were fluid responsive by the end of surgery (∆SV > 10% during HDT) with an administered crystalloid/colloid ratio of 3.3 (fluid balance +1389 ± 452 ml). Furthermore, plasma MR‐proANP and fluid balance were correlated (r = .352 [95% CI 0.031–0.674], p < .001). In contrast, plasma MR‐proANP did not change significantly during pancreatic and liver surgery during which the crystalloid/colloid ratio was 1.0 (fluid balance +385 ± 478 ml) and 1.9 (fluid balance +513 ± 381 ml), respectively. For these patients, there was no correlation between plasma MR‐proANP and fluid balance, and no patient was fluid responsive. Conclusion Plasma MR‐proANP was reduced in fluid responsive patients by the end of surgery for the patients for whom the fluid strategy was based on more lactated Ringer's solution than human albumin 5%.
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Affiliation(s)
- Rune B. Strandby
- Department of Surgery and Transplantation, Rigshospitalet Institute for Clinical Medicine, University of Copenhagen, Inge Lehmanns Vej 7 Copenhagen Denmark
| | - Niels H. Secher
- Department of Anesthesia, Rigshospitalet, Institute for Clinical Medicine University of Copenhagen Denmark
| | - Rikard Ambrus
- Department of Surgery and Transplantation, Rigshospitalet, Institute for Clinical Medicine University of Copenhagen Denmark
| | - Jens P. Gøtze
- Department of Clinical Biochemistry, Rigshospitalet, Institute for Clinical Medicine University of Copenhagen Denmark
| | - Amalie Henriksen
- Department of Surgery and Transplantation, Rigshospitalet, Institute for Clinical Medicine University of Copenhagen Denmark
| | - Carl C. Kitchen
- Department of Anesthesia, Rigshospitalet, Institute for Clinical Medicine University of Copenhagen Denmark
| | - Michael P. Achiam
- Department of Surgery and Transplantation, Rigshospitalet, Institute for Clinical Medicine University of Copenhagen Denmark
| | - Lars B. Svendsen
- Department of Surgery and Transplantation, Rigshospitalet, Institute for Clinical Medicine University of Copenhagen Denmark
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13
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Bhandari AP, Nnate DA, Vasanthan L, Konstantinidis M, Thompson J. Positioning for acute respiratory distress in hospitalised infants and children. Cochrane Database Syst Rev 2022; 6:CD003645. [PMID: 35661343 PMCID: PMC9169533 DOI: 10.1002/14651858.cd003645.pub4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Acute respiratory distress syndrome (ARDS) is a significant cause of hospitalisation and death in young children. Positioning and mechanical ventilation have been regularly used to reduce respiratory distress and improve oxygenation in hospitalised patients. Due to the association of prone positioning (lying on the abdomen) with sudden infant death syndrome (SIDS) within the first six months, it is recommended that young infants be placed on their back (supine). However, prone positioning may be a non-invasive way of increasing oxygenation in individuals with acute respiratory distress, and offers a more significant survival advantage in those who are mechanically ventilated. There are substantial differences in respiratory mechanics between adults and infants. While the respiratory tract undergoes significant development within the first two years of life, differences in airway physiology between adults and children become less prominent by six to eight years old. However, there is a reduced risk of SIDS during artificial ventilation in hospitalised infants. Thus, an updated review focusing on positioning for infants and young children with ARDS is warranted. This is an update of a review published in 2005, 2009, and 2012. OBJECTIVES To compare the effects of different body positions in hospitalised infants and children with acute respiratory distress syndrome aged between four weeks and 16 years. SEARCH METHODS We searched CENTRAL, which contains the Acute Respiratory Infections Group's Specialised Register, MEDLINE, Embase, and CINAHL from January 2004 to July 2021. SELECTION CRITERIA Randomised controlled trials (RCTs) or quasi-RCTs comparing two or more positions for the management of infants and children hospitalised with ARDS. DATA COLLECTION AND ANALYSIS Two review authors independently extracted data from each study. We resolved differences by consensus, or referred to a third contributor to arbitrate. We analysed bivariate outcomes using an odds ratio (OR) and 95% confidence interval (CI). We analysed continuous outcomes using a mean difference (MD) and 95% CI. We used a fixed-effect model, unless heterogeneity was significant (I2 statistic > 50%), when we used a random-effects model. MAIN RESULTS We included six trials: four cross-over trials, and two parallel randomised trials, with 198 participants aged between 4 weeks and 16 years, all but 15 of whom were mechanically ventilated. Four trials compared prone to supine positions. One trial compared the prone position to good-lung dependent (where the person lies on the side of the healthy lung, e.g. if the right lung was healthy, they were made to lie on the right side), and independent (or non-good-lung independent, where the person lies on the opposite side to the healthy lung, e.g. if the right lung was healthy, they were made to lie on the left side) position. One trial compared good-lung independent to good-lung dependent positions. When the prone (with ventilators) and supine positions were compared, there was no information on episodes of apnoea or mortality due to respiratory events. There was no conclusive result in oxygen saturation (SaO2; MD 0.40 mmHg, 95% CI -1.22 to 2.66; 1 trial, 30 participants; very low certainty evidence); blood gases, PCO2 (MD 3.0 mmHg, 95% CI -1.93 to 7.93; 1 trial, 99 participants; low certainty evidence), or PO2 (MD 2 mmHg, 95% CI -5.29 to 9.29; 1 trial, 99 participants; low certainty evidence); or lung function (PaO2/FiO2 ratio; MD 28.16 mmHg, 95% CI -9.92 to 66.24; 2 trials, 121 participants; very low certainty evidence). However, there was an improvement in oxygenation index (FiO2% X MPAW/ PaO2) with prone positioning in both the parallel trials (MD -2.42, 95% CI -3.60 to -1.25; 2 trials, 121 participants; very low certainty evidence), and the cross-over study (MD -8.13, 95% CI -15.01 to -1.25; 1 study, 20 participants). Derived indices of respiratory mechanics, such as tidal volume, respiratory rate, and positive end-expiratory pressure (PEEP) were reported. There was an apparent decrease in tidal volume between prone and supine groups in a parallel study (MD -0.60, 95% CI -1.05 to -0.15; 1 study, 84 participants; very low certainty evidence). When prone and supine positions were compared in a cross-over study, there were no conclusive results in respiratory compliance (MD 0.07, 95% CI -0.10 to 0.24; 1 study, 10 participants); changes in PEEP (MD -0.70 cm H2O, 95% CI -2.72 to 1.32; 1 study, 10 participants); or resistance (MD -0.00, 95% CI -0.05 to 0.04; 1 study, 10 participants). One study reported adverse events. There were no conclusive results for potential harm between groups in extubation (OR 0.57, 95% CI 0.13 to 2.54; 1 trial, 102 participants; very low certainty evidence); obstructions of the endotracheal tube (OR 5.20, 95% CI 0.24 to 111.09; 1 trial, 102 participants; very low certainty evidence); pressure ulcers (OR 1.00, 95% CI 0.41 to 2.44; 1 trial, 102 participants; very low certainty evidence); and hypercapnia (high levels of arterial carbon dioxide; OR 3.06, 95% CI 0.12 to 76.88; 1 trial, 102 participants; very low certainty evidence). One study (50 participants) compared supine positions to good-lung dependent and independent positions. There was no conclusive evidence that PaO2 was different between supine and good-lung dependent positioning (MD 3.44 mm Hg, 95% CI -23.12 to 30.00; 1 trial, 25 participants; very low certainty evidence). There was also no conclusive evidence for supine position and good-lung independent positioning (MD -2.78 mmHg, 95% CI -28.84, 23.28; 25 participants; very low certainty evidence); or between good-lung dependent and independent positioning (MD 6.22, 95% CI -21.25 to 33.69; 1 trial, 25 participants; very low certainty evidence). As most trials did not describe how possible biases were addressed, the potential for bias in these findings is unclear. AUTHORS' CONCLUSIONS Although included studies suggest that prone positioning may offer some advantage, there was little evidence to make definitive recommendations. There appears to be low certainty evidence that positioning improves oxygenation in mechanically ventilated children with ARDS. Due to the increased risk of SIDS with prone positioning and lung injury with artificial ventilation, it is recommended that hospitalised infants and children should only be placed in this position while under continuous cardiorespiratory monitoring.
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Affiliation(s)
- Abhishta P Bhandari
- Townsville University Hospital, Townsville, Australia
- School of Medicine and Dentistry, James Cook University, Townsville, Australia
| | - Daniel A Nnate
- Countess of Chester Hospital NHS Foundation Trust, Chester, UK
| | - Lenny Vasanthan
- Physiotherapy Unit, Department of Physical Medicine and Rehabilitation, Christian Medical College, Vellore, India
| | | | - Jacqueline Thompson
- Birmingham Acute Care Research Group, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK
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Monnet X, Shi R, Teboul JL. Prediction of fluid responsiveness. What’s new? Ann Intensive Care 2022; 12:46. [PMID: 35633423 PMCID: PMC9148319 DOI: 10.1186/s13613-022-01022-8] [Citation(s) in RCA: 71] [Impact Index Per Article: 35.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 05/09/2022] [Indexed: 02/07/2023] Open
Abstract
AbstractAlthough the administration of fluid is the first treatment considered in almost all cases of circulatory failure, this therapeutic option poses two essential problems: the increase in cardiac output induced by a bolus of fluid is inconstant, and the deleterious effects of fluid overload are now clearly demonstrated. This is why many tests and indices have been developed to detect preload dependence and predict fluid responsiveness. In this review, we take stock of the data published in the field over the past three years. Regarding the passive leg raising test, we detail the different stroke volume surrogates that have recently been described to measure its effects using minimally invasive and easily accessible methods. We review the limits of the test, especially in patients with intra-abdominal hypertension. Regarding the end-expiratory occlusion test, we also present recent investigations that have sought to measure its effects without an invasive measurement of cardiac output. Although the limits of interpretation of the respiratory variation of pulse pressure and of the diameter of the vena cava during mechanical ventilation are now well known, several recent studies have shown how changes in pulse pressure variation itself during other tests reflect simultaneous changes in cardiac output, allowing these tests to be carried out without its direct measurement. This is particularly the case during the tidal volume challenge, a relatively recent test whose reliability is increasingly well established. The mini-fluid challenge has the advantage of being easy to perform, but it requires direct measurement of cardiac output, like the classic fluid challenge. Initially described with echocardiography, recent studies have investigated other means of judging its effects. We highlight the problem of their precision, which is necessary to evidence small changes in cardiac output. Finally, we point out other tests that have appeared more recently, such as the Trendelenburg manoeuvre, a potentially interesting alternative for patients in the prone position.
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Xu Y, Guo J, Wu Q, Chen J. Efficacy of using tidal volume challenge to improve the reliability of pulse pressure variation reduced in low tidal volume ventilated critically ill patients with decreased respiratory system compliance. BMC Anesthesiol 2022; 22:137. [PMID: 35508962 PMCID: PMC9066736 DOI: 10.1186/s12871-022-01676-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 04/06/2022] [Indexed: 02/08/2023] Open
Abstract
Background The prediction accuracy of pulse pressure variation (PPV) for fluid responsiveness was proposed to be unreliable in low tidal volume (Vt) ventilation. It was suggested that changes in PPV obtained by transiently increasing Vt to 8 ml/kg accurately predicted fluid responsiveness even in subjects receiving low Vt. We assessed whether the changes in PPV induced by a Vt challenge predicted fluid responsiveness in our critically ill subjects ventilated with low Vt 6 ml/kg. Methods This study is a prospective single-center study. PPV and other parameters were measured at a Vt of 6 mL/kg, 8 mL/kg, and after volume expansion. The prediction accuracy of PPV and other parameters for fluid responsiveness before and after tidal volume challenge was also analyzed using receiver operating characteristic (ROC) curves. Results Thirty-one of the 76 subjects enrolled in the study were responders (41%). Respiratory system compliance of all subjects decreased significantly (26 ± 4.3). The PPV values were significantly higher in the responder group than the non-responder group before (8.8 ± 2.7 vs 6.8 ± 3.1) or after (13.0 ± 1.7 vs 8.5 ± 3.0) Vt challenge. In the receiver operating characteristic curve (ROC) analysis, PPV6 showed unsatisfactory predictive capability with an area under the curve (AUC) of 0.69 (95%CI, 0.57–0.79, p = 0.002) at a Vt of 6 mL/kg. PPV8 andΔPPV6–8 showed good predictive capability with an AUC of 0.90 (95% CI, 0.81–0.96, p < 0.001) and 0.90 (95% CI, 0.80–0.95, P < 0.001) respectively. The corresponding cutoff values were 11% for PPV8 and 2% for ΔPPV6–8. Conclusions PPV shows a poor operative performance as a predictor of fluid responsiveness in critically ill subjects ventilated with a tidal volume of 6 mL/ kg. Vt challenge could improve the predictive accuracy of PPV to a good but not excellent extent when respiratory system compliance decreased significantly. Supplementary Information The online version contains supplementary material available at 10.1186/s12871-022-01676-8.
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Affiliation(s)
- Yujun Xu
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Jun Guo
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
| | - Qin Wu
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Junjun Chen
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
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16
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Horejsek J, Kunstyr J, Michalek P, Porizka M. Novel Methods for Predicting Fluid Responsiveness in Critically Ill Patients—A Narrative Review. Diagnostics (Basel) 2022; 12:diagnostics12020513. [PMID: 35204603 PMCID: PMC8871108 DOI: 10.3390/diagnostics12020513] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/04/2022] [Accepted: 02/14/2022] [Indexed: 11/16/2022] Open
Abstract
In patients with acute circulatory failure, fluid administration represents a first-line therapeutic intervention for improving cardiac output. However, only approximately 50% of patients respond to fluid infusion with a significant increase in cardiac output, defined as fluid responsiveness. Additionally, excessive volume expansion and associated hyperhydration have been shown to increase morbidity and mortality in critically ill patients. Thus, except for cases of obvious hypovolaemia, fluid responsiveness should be routinely tested prior to fluid administration. Static markers of cardiac preload, such as central venous pressure or pulmonary artery wedge pressure, have been shown to be poor predictors of fluid responsiveness despite their widespread use to guide fluid therapy. Dynamic tests including parameters of aortic blood flow or respiratory variability of inferior vena cava diameter provide much higher diagnostic accuracy. Nevertheless, they are also burdened with several significant limitations, reducing the reliability, or even precluding their use in many clinical scenarios. This non-systematic narrative review aims to provide an update on the novel, less employed dynamic tests of fluid responsiveness evaluation in critically ill patients.
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Affiliation(s)
- Jan Horejsek
- Department of Anaesthesiology and Intensive Care Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, 12808 Prague, Czech Republic; (J.H.); (J.K.); (P.M.)
| | - Jan Kunstyr
- Department of Anaesthesiology and Intensive Care Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, 12808 Prague, Czech Republic; (J.H.); (J.K.); (P.M.)
| | - Pavel Michalek
- Department of Anaesthesiology and Intensive Care Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, 12808 Prague, Czech Republic; (J.H.); (J.K.); (P.M.)
- Department of Anaesthesia, Antrim Area Hospital, Antrim BT41 2RL, UK
| | - Michal Porizka
- Department of Anaesthesiology and Intensive Care Medicine, First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, 12808 Prague, Czech Republic; (J.H.); (J.K.); (P.M.)
- Correspondence: ; Tel.: +420-702-089-475
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Watanabe R, Suehiro K, Mukai A, Tanaka K, Yamada T, Mori T, Nishikawa K. Changes in stroke volume induced by lung recruitment maneuver can predict fluid responsiveness during intraoperative lung-protective ventilation in prone position. BMC Anesthesiol 2021; 21:303. [PMID: 34856928 PMCID: PMC8638171 DOI: 10.1186/s12871-021-01527-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Accepted: 11/18/2021] [Indexed: 12/16/2022] Open
Abstract
Background The present study aimed to evaluate the reliability of hemodynamic changes induced by lung recruitment maneuver (LRM) in predicting stroke volume (SV) increase after fluid loading (FL) in prone position. Methods Thirty patients undergoing spine surgery in prone position were enrolled. Lung-protective ventilation (tidal volume, 6–7 mL/kg; positive end-expiratory pressure, 5 cmH2O) was provided to all patients. LRM (30 cmH2O for 30 s) was performed. Hemodynamic variables including mean arterial pressure (MAP), heart rate, SV, SV variation (SVV), and pulse pressure variation (PPV) were simultaneously recorded before, during, and at 5 min after LRM and after FL (250 mL in 10 min). Receiver operating characteristic curves were generated to evaluate the predictability of SVV, PPV, and SV decrease by LRM (ΔSVLRM) for SV responders (SV increase after FL > 10%). The gray zone approach was applied for ΔSVLRM. Results Areas under the curve (AUCs) for ΔSVLRM, SVV, and PPV to predict SV responders were 0.778 (95% confidence interval: 0.590–0.909), 0.563 (0.371–0.743), and 0.502 (0.315–0.689), respectively. The optimal threshold for ΔSVLRM was 30% (sensitivity, 92.3%; specificity, 70.6%). With the gray zone approach, the inconclusive values ranged 25 to 75% for ΔSVLRM (including 50% of enrolled patients). Conclusion In prone position, LRM-induced SV decrease predicted SV increase after FL with higher reliability than traditional dynamic indices. On the other hand, considering the relatively large gray zone in this study, future research is needed to further improve the clinical significance. Trial registration UMIN Clinical Trial Registry UMIN000027966. Registered 28th June 2017.
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Affiliation(s)
- Ryota Watanabe
- Department of Anesthesiology, Osaka City University Graduate School of Medicine, 1-5-7 Asahimachi, Abeno-ku, Osaka, 545-8586, Japan
| | - Koichi Suehiro
- Department of Anesthesiology, Osaka City University Graduate School of Medicine, 1-5-7 Asahimachi, Abeno-ku, Osaka, 545-8586, Japan.
| | - Akira Mukai
- Department of Anesthesiology, Osaka City University Graduate School of Medicine, 1-5-7 Asahimachi, Abeno-ku, Osaka, 545-8586, Japan
| | - Katsuaki Tanaka
- Department of Anesthesiology, Osaka City University Graduate School of Medicine, 1-5-7 Asahimachi, Abeno-ku, Osaka, 545-8586, Japan
| | - Tokuhiro Yamada
- Department of Anesthesiology, Osaka City University Graduate School of Medicine, 1-5-7 Asahimachi, Abeno-ku, Osaka, 545-8586, Japan
| | - Takashi Mori
- Department of Anesthesiology, Osaka City University Graduate School of Medicine, 1-5-7 Asahimachi, Abeno-ku, Osaka, 545-8586, Japan
| | - Kiyonobu Nishikawa
- Department of Anesthesiology, Osaka City University Graduate School of Medicine, 1-5-7 Asahimachi, Abeno-ku, Osaka, 545-8586, Japan
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Egi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada TA, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, Yamada H, Yamamoto R, Yoshida T, Yoshida Y, Yoshimura J, Yotsumoto R, Yonekura H, Wada T, Watanabe E, Aoki M, Asai H, Abe T, Igarashi Y, Iguchi N, Ishikawa M, Ishimaru G, Isokawa S, Itakura R, Imahase H, Imura H, Irinoda T, Uehara K, Ushio N, Umegaki T, Egawa Y, Enomoto Y, Ota K, Ohchi Y, Ohno T, Ohbe H, Oka K, Okada N, Okada Y, Okano H, Okamoto J, Okuda H, Ogura T, Onodera Y, Oyama Y, Kainuma M, Kako E, Kashiura M, Kato H, Kanaya A, Kaneko T, Kanehata K, Kano KI, Kawano H, Kikutani K, Kikuchi H, Kido T, Kimura S, Koami H, Kobashi D, Saiki I, Sakai M, Sakamoto A, Sato T, Shiga Y, Shimoto M, Shimoyama S, Shoko T, Sugawara Y, Sugita A, Suzuki S, Suzuki Y, Suhara T, Sonota K, Takauji S, Takashima K, Takahashi S, Takahashi Y, Takeshita J, Tanaka Y, Tampo A, Tsunoyama T, Tetsuhara K, Tokunaga K, Tomioka Y, Tomita K, Tominaga N, Toyosaki M, Toyoda Y, Naito H, Nagata I, Nagato T, Nakamura Y, Nakamori Y, Nahara I, Naraba H, Narita C, Nishioka N, Nishimura T, Nishiyama K, Nomura T, Haga T, Hagiwara Y, Hashimoto K, Hatachi T, Hamasaki T, Hayashi T, Hayashi M, Hayamizu A, Haraguchi G, Hirano Y, Fujii R, Fujita M, Fujimura N, Funakoshi H, Horiguchi M, Maki J, Masunaga N, Matsumura Y, Mayumi T, Minami K, Miyazaki Y, Miyamoto K, Murata T, Yanai M, Yano T, Yamada K, Yamada N, Yamamoto T, Yoshihiro S, Tanaka H, Nishida O. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020). J Intensive Care 2021; 9:53. [PMID: 34433491 PMCID: PMC8384927 DOI: 10.1186/s40560-021-00555-7] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 05/10/2021] [Indexed: 02/08/2023] Open
Abstract
The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created as revised from J-SSCG 2016 jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in September 2020 and published in February 2021. An English-language version of these guidelines was created based on the contents of the original Japanese-language version. The purpose of this guideline is to assist medical staff in making appropriate decisions to improve the prognosis of patients undergoing treatment for sepsis and septic shock. We aimed to provide high-quality guidelines that are easy to use and understand for specialists, general clinicians, and multidisciplinary medical professionals. J-SSCG 2016 took up new subjects that were not present in SSCG 2016 (e.g., ICU-acquired weakness [ICU-AW], post-intensive care syndrome [PICS], and body temperature management). The J-SSCG 2020 covered a total of 22 areas with four additional new areas (patient- and family-centered care, sepsis treatment system, neuro-intensive treatment, and stress ulcers). A total of 118 important clinical issues (clinical questions, CQs) were extracted regardless of the presence or absence of evidence. These CQs also include those that have been given particular focus within Japan. This is a large-scale guideline covering multiple fields; thus, in addition to the 25 committee members, we had the participation and support of a total of 226 members who are professionals (physicians, nurses, physiotherapists, clinical engineers, and pharmacists) and medical workers with a history of sepsis or critical illness. The GRADE method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members.As a result, 79 GRADE-based recommendations, 5 Good Practice Statements (GPS), 18 expert consensuses, 27 answers to background questions (BQs), and summaries of definitions and diagnosis of sepsis were created as responses to 118 CQs. We also incorporated visual information for each CQ according to the time course of treatment, and we will also distribute this as an app. The J-SSCG 2020 is expected to be widely used as a useful bedside guideline in the field of sepsis treatment both in Japan and overseas involving multiple disciplines.
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Affiliation(s)
- Moritoki Egi
- Department of Surgery Related, Division of Anesthesiology, Kobe University Graduate School of Medicine, Kusunoki-cho 7-5-2, Chuo-ku, Kobe, Hyogo, Japan.
| | - Hiroshi Ogura
- Department of Traumatology and Acute Critical Medicine, Osaka University Medical School, Yamadaoka 2-15, Suita, Osaka, Japan.
| | - Tomoaki Yatabe
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Kazuaki Atagi
- Department of Intensive Care Unit, Nara Prefectural General Medical Center, Nara, Japan
| | - Shigeaki Inoue
- Department of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Toshiaki Iba
- Department of Emergency and Disaster Medicine, Juntendo University, Tokyo, Japan
| | - Yasuyuki Kakihana
- Department of Emergency and Intensive Care Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan
| | - Tatsuya Kawasaki
- Department of Pediatric Critical Care, Shizuoka Children's Hospital, Shizuoka, Japan
| | - Shigeki Kushimoto
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Yasuhiro Kuroda
- Department of Emergency, Disaster, and Critical Care Medicine, Faculty of Medicine, Kagawa University, Kagawa, Japan
| | - Joji Kotani
- Department of Surgery Related, Division of Disaster and Emergency Medicine, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Takumi Taniguchi
- Department of Anesthesiology and Intensive Care Medicine, Kanazawa University, Kanazawa, Japan
| | - Ryosuke Tsuruta
- Acute and General Medicine, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Kent Doi
- Department of Acute Medicine, The University of Tokyo, Tokyo, Japan
| | - Matsuyuki Doi
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Taka-Aki Nakada
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Masaki Nakane
- Department of Emergency and Critical Care Medicine, Yamagata University Hospital, Yamagata, Japan
| | - Seitaro Fujishima
- Center for General Medicine Education, Keio University School of Medicine, Tokyo, Japan
| | - Naoto Hosokawa
- Department of Infectious Diseases, Kameda Medical Center, Kamogawa, Japan
| | - Yoshiki Masuda
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Asako Matsushima
- Department of Advancing Acute Medicine, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan
| | - Naoyuki Matsuda
- Department of Emergency and Critical Care Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kazuma Yamakawa
- Department of Emergency Medicine, Osaka Medical College, Osaka, Japan
| | - Yoshitaka Hara
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hatsukaichi, Japan
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yoshitaka Aoki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Mai Inada
- Member of Japanese Association for Acute Medicine, Tokyo, Japan
| | - Yutaka Umemura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | - Yusuke Kawai
- Department of Nursing, Fujita Health University Hospital, Toyoake, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Hiroki Saito
- Department of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Yokohama City Seibu Hospital, Yokohama, Japan
| | - Shunsuke Taito
- Division of Rehabilitation, Department of Clinical Support and Practice, Hiroshima University Hospital, Hiroshima, Japan
| | - Chikashi Takeda
- Department of Anesthesia, Kyoto University Hospital, Kyoto, Japan
| | - Takero Terayama
- Department of Psychiatry, School of Medicine, National Defense Medical College, Tokorozawa, Japan
| | | | - Hideki Hashimoto
- Department of Emergency and Critical Care Medicine/Infectious Disease, Hitachi General Hospital, Hitachi, Japan
| | - Kei Hayashida
- The Feinstein Institute for Medical Research, Manhasset, NY, USA
| | - Toru Hifumi
- Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Tomoya Hirose
- Emergency and Critical Care Medical Center, Osaka Police Hospital, Osaka, Japan
| | - Tatsuma Fukuda
- Department of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tomoko Fujii
- Intensive Care Unit, Jikei University Hospital, Tokyo, Japan
| | - Shinya Miura
- The Royal Children's Hospital Melbourne, Melbourne, Australia
| | - Hideto Yasuda
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Toshikazu Abe
- Department of Emergency and Critical Care Medicine, Tsukuba Memorial Hospital, Tsukuba, Japan
| | - Kohkichi Andoh
- Division of Anesthesiology, Division of Intensive Care, Division of Emergency and Critical Care, Sendai City Hospital, Sendai, Japan
| | - Yuki Iida
- Department of Physical Therapy, School of Health Sciences, Toyohashi Sozo University, Toyohashi, Japan
| | - Tadashi Ishihara
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Kentaro Ide
- Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Kenta Ito
- Department of General Pediatrics, Aichi Children's Health and Medical Center, Obu, Japan
| | - Yusuke Ito
- Department of Infectious Disease, Hyogo Prefectural Amagasaki General Medical Center, Amagasaki, Japan
| | - Yu Inata
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Akemi Utsunomiya
- Human Health Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Takeshi Unoki
- Department of Acute and Critical Care Nursing, School of Nursing, Sapporo City University, Sapporo, Japan
| | - Koji Endo
- Department of Pharmacoepidemiology, Kyoto University Graduate School of Medicine and Public Health, Kyoto, Japan
| | - Akira Ouchi
- College of Nursing, Ibaraki Christian University, Hitachi, Japan
| | - Masayuki Ozaki
- Department of Emergency and Critical Care Medicine, Komaki City Hospital, Komaki, Japan
| | - Satoshi Ono
- Gastroenterological Center, Shinkuki General Hospital, Kuki, Japan
| | | | | | - Yusuke Kawamura
- Department of Rehabilitation, Showa General Hospital, Tokyo, Japan
| | - Daisuke Kudo
- Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Kenji Kubo
- Department of Emergency Medicine and Department of Infectious Diseases, Japanese Red Cross Wakayama Medical Center, Wakayama, Japan
| | - Kiyoyasu Kurahashi
- Department of Anesthesiology and Intensive Care Medicine, International University of Health and Welfare School of Medicine, Narita, Japan
| | | | - Akira Shimoyama
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Takeshi Suzuki
- Department of Anesthesiology, Tokai University School of Medicine, Isehara, Japan
| | - Shusuke Sekine
- Department of Anesthesiology, Tokyo Medical University, Tokyo, Japan
| | - Motohiro Sekino
- Division of Intensive Care, Nagasaki University Hospital, Nagasaki, Japan
| | - Nozomi Takahashi
- Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Sei Takahashi
- Center for Innovative Research for Communities and Clinical Excellence (CiRC2LE), Fukushima Medical University, Fukushima, Japan
| | - Hiroshi Takahashi
- Department of Cardiology, Steel Memorial Muroran Hospital, Muroran, Japan
| | - Takashi Tagami
- Department of Emergency and Critical Care Medicine, Nippon Medical School Musashi Kosugi Hospital, Kawasaki, Japan
| | - Goro Tajima
- Nagasaki University Hospital Acute and Critical Care Center, Nagasaki, Japan
| | - Hiroomi Tatsumi
- Department of Intensive Care Medicine, Sapporo Medical University School of Medicine, Sapporo, Japan
| | - Masanori Tani
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Asuka Tsuchiya
- Department of Emergency and Critical Care Medicine, National Hospital Organization Mito Medical Center, Ibaraki, Japan
| | - Yusuke Tsutsumi
- Department of Emergency and Critical Care Medicine, National Hospital Organization Mito Medical Center, Ibaraki, Japan
| | - Takaki Naito
- Department of Emergency and Critical Care Medicine, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Masaharu Nagae
- Department of Intensive Care Medicine, Kobe University Hospital, Kobe, Japan
| | | | - Kensuke Nakamura
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan
| | - Tetsuro Nishimura
- Department of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Shin Nunomiya
- Department of Anesthesiology and Intensive Care Medicine, Division of Intensive Care, Jichi Medical University School of Medicine, Shimotsuke, Japan
| | - Yasuhiro Norisue
- Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Urayasu, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Daisuke Hasegawa
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
| | - Junji Hatakeyama
- Department of Emergency and Critical Care Medicine, National Hospital Organization Tokyo Medical Center, Tokyo, Japan
| | - Naoki Hara
- Department of Pharmacy, Yokohama Rosai Hospital, Yokohama, Japan
| | - Naoki Higashibeppu
- Department of Anesthesiology and Nutrition Support Team, Kobe City Medical Center General Hospital, Kobe City Hospital Organization, Kobe, Japan
| | - Nana Furushima
- Department of Anesthesiology, Kobe University Hospital, Kobe, Japan
| | - Hirotaka Furusono
- Department of Rehabilitation, University of Tsukuba Hospital/Exult Co., Ltd., Tsukuba, Japan
| | - Yujiro Matsuishi
- Doctoral program in Clinical Sciences. Graduate School of Comprehensive Human Sciences, University of Tsukuba, Tsukuba, Japan
| | - Tasuku Matsuyama
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yusuke Minematsu
- Department of Clinical Engineering, Osaka University Hospital, Suita, Japan
| | - Ryoichi Miyashita
- Department of Intensive Care Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Yuji Miyatake
- Department of Clinical Engineering, Kakogawa Central City Hospital, Kakogawa, Japan
| | - Megumi Moriyasu
- Division of Respiratory Care and Rapid Response System, Intensive Care Center, Kitasato University Hospital, Sagamihara, Japan
| | - Toru Yamada
- Department of Nursing, Toho University Omori Medical Center, Tokyo, Japan
| | - Hiroyuki Yamada
- Department of Primary Care and Emergency Medicine, Kyoto University Hospital, Kyoto, Japan
| | - Ryo Yamamoto
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Takeshi Yoshida
- Department of Anesthesiology and Intensive Care Medicine, Osaka University Graduate School of Medicine, Suita, Japan
| | - Yuhei Yoshida
- Nursing Department, Osaka General Medical Center, Osaka, Japan
| | - Jumpei Yoshimura
- Division of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka, Japan
| | | | - Hiroshi Yonekura
- Department of Clinical Anesthesiology, Mie University Hospital, Tsu, Japan
| | - Takeshi Wada
- Department of Anesthesiology and Critical Care Medicine, Division of Acute and Critical Care Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Eizo Watanabe
- Department of Emergency and Critical Care Medicine, Eastern Chiba Medical Center, Togane, Japan
| | - Makoto Aoki
- Department of Emergency Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Hideki Asai
- Department of Emergency and Critical Care Medicine, Nara Medical University, Kashihara, Japan
| | - Takakuni Abe
- Department of Anesthesiology and Intensive Care, Oita University Hospital, Yufu, Japan
| | - Yutaka Igarashi
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, Tokyo, Japan
| | - Naoya Iguchi
- Department of Anesthesiology and Intensive Care Medicine, Graduate School of Medicine, Osaka University, Suita, Japan
| | - Masami Ishikawa
- Department of Anesthesiology, Emergency and Critical Care Medicine, Kure Kyosai Hospital, Kure, Japan
| | - Go Ishimaru
- Department of General Internal Medicine, Soka Municipal Hospital, Soka, Japan
| | - Shutaro Isokawa
- Department of Emergency and Critical Care Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Ryuta Itakura
- Department of Emergency and Critical Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan
| | - Hisashi Imahase
- Department of Biomedical Ethics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Haruki Imura
- Department of Infectious Diseases, Rakuwakai Otowa Hospital, Kyoto, Japan
- Department of Health Informatics, School of Public Health, Kyoto University, Kyoto, Japan
| | | | - Kenji Uehara
- Department of Anesthesiology, National Hospital Organization Iwakuni Clinical Center, Iwakuni, Japan
| | - Noritaka Ushio
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Takeshi Umegaki
- Department of Anesthesiology, Kansai Medical University, Hirakata, Japan
| | - Yuko Egawa
- Advanced Emergency and Critical Care Center, Saitama Red Cross Hospital, Saitama, Japan
| | - Yuki Enomoto
- Department of Emergency and Critical Care Medicine, University of Tsukuba, Tsukuba, Japan
| | - Kohei Ota
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Yoshifumi Ohchi
- Department of Anesthesiology and Intensive Care, Oita University Hospital, Yufu, Japan
| | - Takanori Ohno
- Department of Emergency and Critical Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan
| | - Hiroyuki Ohbe
- Department of Clinical Epidemiology and Health Economics, School of Public Health, The University of Tokyo, Tokyo, Japan
| | | | - Nobunaga Okada
- Department of Emergency Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Yohei Okada
- Department of Primary care and Emergency medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Hiromu Okano
- Department of Anesthesiology, Kyorin University School of Medicine, Tokyo, Japan
| | - Jun Okamoto
- Department of ER, Hashimoto Municipal Hospital, Hashimoto, Japan
| | - Hiroshi Okuda
- Department of Community Medical Supports, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan
| | - Takayuki Ogura
- Tochigi prefectural Emergency and Critical Care Center, Imperial Gift Foundation Saiseikai, Utsunomiya Hospital, Utsunomiya, Japan
| | - Yu Onodera
- Department of Anesthesiology, Faculty of Medicine, Yamagata University, Yamagata, Japan
| | - Yuhta Oyama
- Department of Internal Medicine, Dialysis Center, Kichijoji Asahi Hospital, Tokyo, Japan
| | - Motoshi Kainuma
- Anesthesiology, Emergency Medicine, and Intensive Care Division, Inazawa Municipal Hospital, Inazawa, Japan
| | - Eisuke Kako
- Department of Anesthesiology and Intensive Care Medicine, Nagoya-City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Masahiro Kashiura
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Hiromi Kato
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Akihiro Kanaya
- Department of Anesthesiology, Sendai Medical Center, Sendai, Japan
| | - Tadashi Kaneko
- Emergency and Critical Care Center, Mie University Hospital, Tsu, Japan
| | - Keita Kanehata
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Ken-Ichi Kano
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan
| | - Hiroyuki Kawano
- Department of Gastroenterological Surgery, Onga Hospital, Fukuoka, Japan
| | - Kazuya Kikutani
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Hitoshi Kikuchi
- Department of Emergency and Critical Care Medicine, Seirei Mikatahara General Hospital, Hamamatsu, Japan
| | - Takahiro Kido
- Department of Pediatrics, University of Tsukuba Hospital, Tsukuba, Japan
| | - Sho Kimura
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Hiroyuki Koami
- Center for Translational Injury Research, University of Texas Health Science Center at Houston, Houston, USA
| | - Daisuke Kobashi
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Iwao Saiki
- Department of Anesthesiology, Tokyo Medical University, Tokyo, Japan
| | - Masahito Sakai
- Department of General Medicine Shintakeo Hospital, Takeo, Japan
| | - Ayaka Sakamoto
- Department of Emergency and Critical Care Medicine, University of Tsukuba Hospital, Tsukuba, Japan
| | - Tetsuya Sato
- Tohoku University Hospital Emergency Center, Sendai, Japan
| | - Yasuhiro Shiga
- Department of Orthopaedic Surgery, Center for Advanced Joint Function and Reconstructive Spine Surgery, Graduate school of Medicine, Chiba University, Chiba, Japan
| | - Manabu Shimoto
- Department of Primary care and Emergency medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shinya Shimoyama
- Department of Pediatric Cardiology and Intensive Care, Gunma Children's Medical Center, Shibukawa, Japan
| | - Tomohisa Shoko
- Department of Emergency and Critical Care Medicine, Tokyo Women's Medical University Medical Center East, Tokyo, Japan
| | - Yoh Sugawara
- Department of Anesthesiology, Yokohama City University, Yokohama, Japan
| | - Atsunori Sugita
- Department of Acute Medicine, Division of Emergency and Critical Care Medicine, Nihon University School of Medicine, Tokyo, Japan
| | - Satoshi Suzuki
- Department of Intensive Care, Okayama University Hospital, Okayama, Japan
| | - Yuji Suzuki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Tomohiro Suhara
- Department of Anesthesiology, Keio University School of Medicine, Tokyo, Japan
| | - Kenji Sonota
- Department of Intensive Care Medicine, Miyagi Children's Hospital, Sendai, Japan
| | - Shuhei Takauji
- Department of Emergency Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Kohei Takashima
- Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Sho Takahashi
- Department of Cardiology, Fukuyama City Hospital, Fukuyama, Japan
| | - Yoko Takahashi
- Department of General Internal Medicine, Koga General Hospital, Koga, Japan
| | - Jun Takeshita
- Department of Anesthesiology, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Yuuki Tanaka
- Fukuoka Prefectural Psychiatric Center, Dazaifu Hospital, Dazaifu, Japan
| | - Akihito Tampo
- Department of Emergency Medicine, Asahikawa Medical University, Asahikawa, Japan
| | - Taichiro Tsunoyama
- Department of Emergency Medicine, Teikyo University School of Medicine, Tokyo, Japan
| | - Kenichi Tetsuhara
- Emergency and Critical Care Center, Kyushu University Hospital, Fukuoka, Japan
| | - Kentaro Tokunaga
- Department of Intensive Care Medicine, Kumamoto University Hospital, Kumamoto, Japan
| | - Yoshihiro Tomioka
- Department of Anesthesiology and Intensive Care Unit, Todachuo General Hospital, Toda, Japan
| | - Kentaro Tomita
- Department of Pediatrics, Keio University School of Medicine, Tokyo, Japan
| | - Naoki Tominaga
- Department of Emergency and Critical Care Medicine, Nippon Medical School Hospital, Tokyo, Japan
| | - Mitsunobu Toyosaki
- Department of Emergency and Critical Care Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Yukitoshi Toyoda
- Department of Emergency and Critical Care Medicine, Saiseikai Yokohamashi Tobu Hospital, Yokohama, Japan
| | - Hiromichi Naito
- Department of Emergency, Critical Care, and Disaster Medicine, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - Isao Nagata
- Intensive Care Unit, Yokohama City Minato Red Cross Hospital, Yokohama, Japan
| | - Tadashi Nagato
- Department of Respiratory Medicine, Tokyo Yamate Medical Center, Tokyo, Japan
| | - Yoshimi Nakamura
- Department of Emergency and Critical Care Medicine, Japanese Red Cross Kyoto Daini Hospital, Kyoto, Japan
| | - Yuki Nakamori
- Department of Clinical Anesthesiology, Mie University Hospital, Tsu, Japan
| | - Isao Nahara
- Department of Anesthesiology and Critical Care Medicine, Nagoya Daini Red Cross Hospital, Nagoya, Japan
| | - Hiromu Naraba
- Department of Emergency and Critical Care Medicine, Hitachi General Hospital, Hitachi, Japan
| | - Chihiro Narita
- Department of Emergency Medicine and Intensive Care Medicine, Shizuoka General Hospital, Shizuoka, Japan
| | - Norihiro Nishioka
- Department of Preventive Services, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomoya Nishimura
- Advanced Medical Emergency Department and Critical Care Center, Japan Red Cross Maebashi Hospital, Maebashi, Japan
| | - Kei Nishiyama
- Division of Emergency and Critical Care Medicine Niigata University Graduate School of Medical and Dental Science, Niigata, Japan
| | - Tomohisa Nomura
- Department of Emergency and Critical Care Medicine, Juntendo University Nerima Hospital, Tokyo, Japan
| | - Taiki Haga
- Department of Pediatric Critical Care Medicine, Osaka City General Hospital, Osaka, Japan
| | - Yoshihiro Hagiwara
- Department of Emergency and Critical Care Medicine, Saiseikai Utsunomiya Hospital, Utsunomiya, Japan
| | - Katsuhiko Hashimoto
- Research Associate of Minimally Invasive Surgical and Medical Oncology, Fukushima Medical University, Fukushima, Japan
| | - Takeshi Hatachi
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Izumi, Japan
| | - Toshiaki Hamasaki
- Department of Emergency Medicine, Japanese Red Cross Society Wakayama Medical Center, Wakayama, Japan
| | - Takuya Hayashi
- Division of Critical Care Medicine, Saitama Children's Medical Center, Saitama, Japan
| | - Minoru Hayashi
- Department of Emergency Medicine, Fukui Prefectural Hospital, Fukui, Japan
| | - Atsuki Hayamizu
- Department of Emergency Medicine, Saitama Saiseikai Kurihashi Hospital, Kuki, Japan
| | - Go Haraguchi
- Division of Intensive Care Unit, Sakakibara Heart Institute, Tokyo, Japan
| | - Yohei Hirano
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Ryo Fujii
- Department of Emergency Medicine and Critical Care Medicine, Tochigi Prefectural Emergency and Critical Care Center, Imperial Foundation Saiseikai Utsunomiya Hospital, Utsunomiya, Japan
| | - Motoki Fujita
- Acute and General Medicine, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Naoyuki Fujimura
- Department of Anesthesiology, St. Mary's Hospital, Our Lady of the Snow Social Medical Corporation, Kurume, Japan
| | - Hiraku Funakoshi
- Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, Urayasu, Japan
| | - Masahito Horiguchi
- Department of Emergency and Critical Care Medicine, Japanese Red Cross Kyoto Daiichi Hospital, Kyoto, Japan
| | - Jun Maki
- Department of Critical Care Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Naohisa Masunaga
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yosuke Matsumura
- Department of Intensive Care, Chiba Emergency Medical Center, Chiba, Japan
| | - Takuya Mayumi
- Department of Internal Medicine, Kanazawa Municipal Hospital, Kanazawa, Japan
| | - Keisuke Minami
- Ishikawa Prefectual Central Hospital Emergency and Critical Care Center, Kanazawa, Japan
| | - Yuya Miyazaki
- Department of Emergency and General Internal Medicine, Saiseikai Kawaguchi General Hospital, Kawaguchi, Japan
| | - Kazuyuki Miyamoto
- Department of Emergency and Disaster Medicine, Showa University, Tokyo, Japan
| | - Teppei Murata
- Department of Cardiology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Machi Yanai
- Department of Emergency Medicine, Kobe City Medical Center General Hospital, Kobe, Japan
| | - Takao Yano
- Department of Critical Care and Emergency Medicine, Miyazaki Prefectural Nobeoka Hospital, Nobeoka, Japan
| | - Kohei Yamada
- Department of Traumatology and Critical Care Medicine, National Defense Medical College, Tokorozawa, Japan
| | - Naoki Yamada
- Department of Emergency Medicine, University of Fukui Hospital, Fukui, Japan
| | - Tomonori Yamamoto
- Department of Intensive Care Unit, Nara Prefectural General Medical Center, Nara, Japan
| | - Shodai Yoshihiro
- Pharmaceutical Department, JA Hiroshima General Hospital, Hatsukaichi, Japan
| | - Hiroshi Tanaka
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Urayasu, Japan
| | - Osamu Nishida
- Department of Anesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake, Japan
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Changes in the Plethysmographic Perfusion Index During an End-Expiratory Occlusion Detect a Positive Passive Leg Raising Test. Crit Care Med 2021; 49:e151-e160. [PMID: 33332814 DOI: 10.1097/ccm.0000000000004768] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
OBJECTIVES The end-expiratory occlusion test for assessing preload responsiveness consists in interrupting mechanical ventilation for 15 seconds at end-expiration and measuring the cardiac index changes. The perfusion index is the ratio between the pulsatile and the nonpulsatile portions of the plethysmography signal and is, in part, determined by stroke volume. We tested whether the end-expiratory occlusion-induced changes in perfusion index could detect a positive passive leg raising test, suggesting preload responsiveness. DESIGN Observational study. SETTING Medical ICU. PATIENTS Thirty-one ventilated patients without atrial fibrillation. INTERVENTIONS We measured perfusion index (Radical-7 device; Masimo Corp., Irvine, CA) and cardiac index (PiCCO2; Pulsion Medical Systems, Feldkirchen, Germany) before and during a passive leg raising test and a 15-second end-expiratory occlusion. MEASUREMENTS AND MAIN RESULTS In 19 patients with a positive passive leg raising test (increase in cardiac index ≥ 10%), compared to the baseline value and expressed as a relative change, passive leg raising increased cardiac index and perfusion index by 17% ± 7% and 49% ± 23%, respectively, In these patients, end-expiratory occlusion increased cardiac index and perfusion index by 6% ± 2% and 11% ± 8%, respectively. In the 12 patients with a negative passive leg raising test, perfusion index did not significantly change during passive leg raising and end-expiratory occlusion. Relative changes in perfusion index and cardiac index observed during all interventions were significantly correlated (r = 0.83). An end-expiratory occlusion-induced relative increase in perfusion index greater than or equal to 2.5% ([perfusion index during end-expiratory occlusion-perfusion index at baseline]/perfusion index at baseline × 100) detected a positive passive leg raising test with an area under the receiver operating characteristic curve of 0.95 ± 0.03. This threshold is larger than the least significant change observed for perfusion index (1.62% ± 0.80%). CONCLUSIONS Perfusion index could be used as a reliable surrogate of cardiac index for performing the end-expiratory occlusion test. Confirming previous results, the relative changes in perfusion index also reliably detected a positive passive leg raising test.
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20
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Ma GG, Xu LY, Luo JC, Hou JY, Hao GW, Su Y, Liu K, Yu SJ, Tu GW, Luo Z. Change in left ventricular velocity time integral during Trendelenburg maneuver predicts fluid responsiveness in cardiac surgical patients in the operating room. Quant Imaging Med Surg 2021; 11:3133-3145. [PMID: 34249640 PMCID: PMC8250022 DOI: 10.21037/qims-20-700] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Accepted: 03/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Fluid responsiveness is an important topic for clinicians. We investigated whether changes in left ventricular outflow tract (LVOT) velocity time integral (VTI) during a Trendelenburg position (TP) maneuver can predict fluid responsiveness as a non-invasive marker in coronary artery bypass graft (CABG) surgery patients in the operating room. METHODS This prospective, single-center observational study, performed in the operating room, enrolled 65 elective CABG patients. Hemodynamic data coupled with transesophageal echocardiography monitoring of the LVOT VTI and the peak velocity were collected at each step [baseline 1, TP, baseline 2 and fluid challenge (FC)]. Patients whose VTI increased ≥15% after FC (500 mL of Gelofusine infusion within 30 min) were considered responders. RESULTS Twenty-eight (43.1%) patients were responders to fluid administration. VTI changes during the TP maneuver predicted fluid responsiveness with an area under the receiver operating characteristic curve (AUC) of 0.90 (95% CI, 0.79-0.96), with a sensitivity of 100%, and a specificity of 70% at a threshold of 10% (gray zone, 8-15%). The increase in VTI during the TP was correlated with the VTI changes induced by FC (r=0.61, P<0.0001). Changes in peak velocity and pulse pressure during the TP were poorly predictive of fluid responsiveness, with an AUC of 0.72 (95% CI: 0.60-0.82) and 0.66 (95% CI: 0.53-0.77), respectively. CONCLUSIONS An increase in VTI induced by the TP could predict fluid responsiveness in CABG patients in the operating room. However, changes in peak velocity and pulse pressure stimulated by the TP could not reliably predict fluid responsiveness.
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Affiliation(s)
- Guo-Guang Ma
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Center of Critical Care Medicine, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Li-Ying Xu
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jing-Chao Luo
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jun-Yi Hou
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guang-Wei Hao
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Su
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Kai Liu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Shen-Ji Yu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guo-Wei Tu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhe Luo
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Critical Care Medicine, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China
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21
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Chazot G, Bitker L, Mezidi M, Chebib N, Chabert P, Chauvelot L, Folliet L, David G, Provoost J, Yonis H, Richard JC. Prevalence and risk factors of hemodynamic instability associated with preload-dependence during continuous renal replacement therapy in a prospective observational cohort of critically ill patients. Ann Intensive Care 2021; 11:95. [PMID: 34125314 PMCID: PMC8200783 DOI: 10.1186/s13613-021-00883-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Accepted: 06/03/2021] [Indexed: 11/21/2022] Open
Abstract
Background Hemodynamic instability is a frequent complication of continuous renal replacement therapy (CRRT). Postural tests (i.e., passive leg raising in the supine position or Trendelenburg maneuver in the prone position) combined with measurement of cardiac output are highly reliable to identify preload-dependence and may provide new insights into the mechanisms involved in hemodynamic instability related to CRRT (HIRRT). We aimed to assess the prevalence and risk factors of HIRRT associated with preload-dependence in ICU patients. We conducted a single-center prospective observational cohort study in ICU patients with acute kidney injury KDIGO 3, started on CRRT in the last 24 h, and monitored with a PiCCO® device. The primary endpoint was the rate of HIRRT episodes associated with preload-dependence during the first 7 days after inclusion. HIRRT was defined as the occurrence of a mean arterial pressure below 65 mmHg requiring therapeutic intervention. Preload-dependence was assessed by postural tests every 4 h, and during each HIRRT episode. Data are expressed in median [1st quartile–3rd quartile], unless stated otherwise. Results 42 patients (62% male, age 69 [59–77] year, SAPS-2 65 [49–76]) were included 6 [1–16] h after CRRT initiation and studied continuously for 121 [60–147] h. A median of 5 [3–8] HIRRT episodes occurred per patient, for a pooled total of 243 episodes. 131 episodes (54% [CI95% 48–60%]) were associated with preload-dependence, 108 (44%, [CI95% 38–51%]) without preload-dependence, and 4 were unclassified. Multivariate analysis (using variables collected prior to HIRRT) identified the following variables as risk factors for the occurrence of HIRRT associated with preload-dependence: preload-dependence before HIRRT [odds ratio (OR) = 3.82, p < 0.001], delay since last HIRRT episode > 8 h (OR = 0.56, p < 0.05), lactate (OR = 1.21 per 1-mmol L−1 increase, p < 0.05), cardiac index (OR = 0.47 per 1-L min−1 m−2 increase, p < 0.001) and SOFA at ICU admission (OR = 0.91 per 1-point increase, p < 0.001). None of the CRRT settings was identified as risk factor for HIRRT. Conclusions In this single-center study, HIRRT associated with preload-dependence was slightly more frequent than HIRRT without preload-dependence in ICU patients undergoing CRRT. Testing for preload-dependence could help avoiding unnecessary decrease of fluid removal in preload-independent HIRRT during CRRT. Supplementary Information The online version contains supplementary material available at 10.1186/s13613-021-00883-9.
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Affiliation(s)
- Guillaume Chazot
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Laurent Bitker
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.,Université de Lyon, Université LYON I, Lyon, France.,CREATIS INSERM 1044 CNRS 5220, Villeurbanne, France
| | - Mehdi Mezidi
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.,Université de Lyon, Université LYON I, Lyon, France
| | - Nader Chebib
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.,Université de Lyon, Université LYON I, Lyon, France
| | - Paul Chabert
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Louis Chauvelot
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Laure Folliet
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Guillaume David
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Judith Provoost
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Hodane Yonis
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Jean-Christophe Richard
- Service de Médecine Intensive - Réanimation, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France. .,Université de Lyon, Université LYON I, Lyon, France. .,CREATIS INSERM 1044 CNRS 5220, Villeurbanne, France.
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22
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Severe Respiratory and Hemodynamic Failures following Successful Spontaneous Pneumothorax Drainage. Case Rep Emerg Med 2021; 2021:6677656. [PMID: 34055425 PMCID: PMC8133856 DOI: 10.1155/2021/6677656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 02/03/2021] [Accepted: 05/03/2021] [Indexed: 11/17/2022] Open
Abstract
Spontaneous pneumothorax is a frequent situation in respiratory medicine, and its treatment is based on conservative treatment or pleural drainage. Reexpansion pulmonary edema (REPE) is often a mild complication following pneumothorax drainage. We report here a severe case of unilateral REPE following spontaneous pneumothorax drainage associated with major pulmonary plasmatic leakage. The clinical presentation was severe and sudden with respiratory and circulatory failures. Initial resuscitation was mostly based on prone and head-down positioning in association to fluid expansion and mechanical ventilation. On the basis of this clinical case report, we strongly suggest to think about severe pulmonary reexpansion edema when respiratory and hemodynamic failures occur few hours after pneumothorax-related efficient pleural tube drainage.
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23
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Alvarado Sánchez JI, Caicedo Ruiz JD, Diaztagle Fernández JJ, Amaya Zuñiga WF, Ospina-Tascón GA, Cruz Martínez LE. Predictors of fluid responsiveness in critically ill patients mechanically ventilated at low tidal volumes: systematic review and meta-analysis. Ann Intensive Care 2021; 11:28. [PMID: 33555488 PMCID: PMC7870741 DOI: 10.1186/s13613-021-00817-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 01/27/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction Dynamic predictors of fluid responsiveness have shown good performance in mechanically ventilated patients at tidal volumes (Vt) > 8 mL kg−1. Nevertheless, most critically ill conditions demand lower Vt. We sought to evaluate the operative performance of several predictors of fluid responsiveness at Vt ≤ 8 mL kg−1 by using meta-regression and subgroup analyses. Methods A sensitive search was conducted in the Embase and MEDLINE databases. We searched for studies prospectively assessing the operative performance of pulse pressure variation (PPV), stroke volume variation (SVV), end-expiratory occlusion test (EEOT), passive leg raising (PLR), inferior vena cava respiratory variability (Δ-IVC), mini-fluid challenge (m-FC), and tidal volume challenge (VtC), to predict fluid responsiveness in adult patients mechanically ventilated at Vt ≤ 8 ml kg−1, without respiratory effort and arrhythmias, published between 1999 and 2020. Operative performance was assessed using hierarchical and bivariate analyses, while subgroup analysis was used to evaluate variations in their operative performance and sources of heterogeneity. A sensitivity analysis based on the methodological quality of the studies included (QUADAS-2) was also performed. Results A total of 33 studies involving 1,352 patients were included for analysis. Areas under the curve (AUC) values for predictors of fluid responsiveness were: for PPV = 0.82, Δ-IVC = 0.86, SVV = 0.90, m-FC = 0.84, PLR = 0.84, EEOT = 0.92, and VtC = 0.92. According to subgroup analyses, variations in methods to measure cardiac output and in turn, to classify patients as responders or non-responders significantly influence the performance of PPV and SVV (p < 0.05). Operative performance of PPV was also significantly affected by the compliance of the respiratory system (p = 0.05), while type of patient (p < 0.01) and thresholds used to determine responsiveness significantly affected the predictability of SVV (p = 0.05). Similarly, volume of fluids infused to determine variation in cardiac output, significantly affected the performance of SVV (p = 0.01) and PLR (p < 0.01). Sensitivity analysis showed no variations in operative performance of PPV (p = 0.39), SVV (p = 0.23) and EEOT (p = 0.15). Conclusion Most predictors of fluid responsiveness reliably predict the response of cardiac output to volume expansion in adult patients mechanically ventilated at tidal volumes ≤ 8 ml kg−1. Nevertheless, technical and clinical variables might clearly influence on their operative performance
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Affiliation(s)
- Jorge Iván Alvarado Sánchez
- Department of Anaesthesiology, Centro Policlínico del Olaya, 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.,Fundación Universitaria de Ciencias de La Salud, Bogotá, Colombia.,Department of Internal Medicine, Hospital de San José, Bogotá, Colombia
| | | | | | - Luis Eduardo Cruz Martínez
- Department of Physiology Sciences, Faculty of Medicine, Universidad Nacional de Colombia, Bogotá, Colombia
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24
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Alvarado Sánchez JI, Caicedo Ruiz JD, Diaztagle Fernández JJ, Amaya Zuñiga WF, Ospina-Tascón GA, Cruz Martínez LE. Predictors of fluid responsiveness in critically ill patients mechanically ventilated at low tidal volumes: systematic review and meta-analysis. Ann Intensive Care 2021. [DOI: https://doi.org/10.1186/s13613-021-00817-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Abstract
Introduction
Dynamic predictors of fluid responsiveness have shown good performance in mechanically ventilated patients at tidal volumes (Vt) > 8 mL kg−1. Nevertheless, most critically ill conditions demand lower Vt. We sought to evaluate the operative performance of several predictors of fluid responsiveness at Vt ≤ 8 mL kg−1 by using meta-regression and subgroup analyses.
Methods
A sensitive search was conducted in the Embase and MEDLINE databases. We searched for studies prospectively assessing the operative performance of pulse pressure variation (PPV), stroke volume variation (SVV), end-expiratory occlusion test (EEOT), passive leg raising (PLR), inferior vena cava respiratory variability (Δ-IVC), mini-fluid challenge (m-FC), and tidal volume challenge (VtC), to predict fluid responsiveness in adult patients mechanically ventilated at Vt ≤ 8 ml kg−1, without respiratory effort and arrhythmias, published between 1999 and 2020. Operative performance was assessed using hierarchical and bivariate analyses, while subgroup analysis was used to evaluate variations in their operative performance and sources of heterogeneity. A sensitivity analysis based on the methodological quality of the studies included (QUADAS-2) was also performed.
Results
A total of 33 studies involving 1,352 patients were included for analysis. Areas under the curve (AUC) values for predictors of fluid responsiveness were: for PPV = 0.82, Δ-IVC = 0.86, SVV = 0.90, m-FC = 0.84, PLR = 0.84, EEOT = 0.92, and VtC = 0.92. According to subgroup analyses, variations in methods to measure cardiac output and in turn, to classify patients as responders or non-responders significantly influence the performance of PPV and SVV (p < 0.05). Operative performance of PPV was also significantly affected by the compliance of the respiratory system (p = 0.05), while type of patient (p < 0.01) and thresholds used to determine responsiveness significantly affected the predictability of SVV (p = 0.05). Similarly, volume of fluids infused to determine variation in cardiac output, significantly affected the performance of SVV (p = 0.01) and PLR (p < 0.01). Sensitivity analysis showed no variations in operative performance of PPV (p = 0.39), SVV (p = 0.23) and EEOT (p = 0.15).
Conclusion
Most predictors of fluid responsiveness reliably predict the response of cardiac output to volume expansion in adult patients mechanically ventilated at tidal volumes ≤ 8 ml kg−1. Nevertheless, technical and clinical variables might clearly influence on their operative performance
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25
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Luo JC, Su Y, Dong LL, Hou JY, Li X, Zhang Y, Ma GG, Zheng JL, Hao GW, Wang H, Zhang YJ, Luo Z, Tu GW. Trendelenburg maneuver predicts fluid responsiveness in patients on veno-arterial extracorporeal membrane oxygenation. Ann Intensive Care 2021; 11:16. [PMID: 33496906 PMCID: PMC7838230 DOI: 10.1186/s13613-021-00811-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 01/18/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Evaluation of fluid responsiveness during veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support is crucial. The aim of this study was to investigate whether changes in left ventricular outflow tract velocity-time integral (ΔVTI), induced by a Trendelenburg maneuver, could predict fluid responsiveness during VA-ECMO. METHODS This prospective study was conducted in patients with VA-ECMO support. The protocol included four sequential steps: (1) baseline-1, a supine position with a 15° upward bed angulation; (2) Trendelenburg maneuver, 15° downward bed angulation; (3) baseline-2, the same position as baseline-1, and (4) fluid challenge, administration of 500 mL gelatin over 15 min without postural change. Hemodynamic parameters were recorded at each step. Fluid responsiveness was defined as ΔVTI of 15% or more, after volume expansion. RESULTS From June 2018 to December 2019, 22 patients with VA-ECMO were included, and a total of 39 measurements were performed. Of these, 22 measurements (56%) met fluid responsiveness. The R2 of the linear regression was 0.76, between ΔVTIs induced by Trendelenburg maneuver and the fluid challenge. The area under the receiver operating characteristic curve of ΔVTI induced by Trendelenburg maneuver to predict fluid responsiveness was 0.93 [95% confidence interval (CI) 0.81-0.98], with a sensitivity of 82% (95% CI 60-95%), and specificity of 88% (95% CI 64-99%), at a best threshold of 10% (95% CI 6-12%). CONCLUSIONS Changes in VTI induced by the Trendelenburg maneuver could effectively predict fluid responsiveness in VA-ECMO patients. Trial registration ClinicalTrials.gov, NCT03553459 (the TEMPLE study). Registered on May 30, 2018.
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Affiliation(s)
- Jing-Chao Luo
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Su
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Li-Li Dong
- Department of Echocardiography, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Institute of Medical Imaging, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jun-Yi Hou
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xin Li
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Zhang
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guo-Guang Ma
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ji-Li Zheng
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guang-Wei Hao
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Huan Wang
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yi-Jie Zhang
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhe Luo
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
- Department of Critical Care Medicine, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China.
| | - Guo-Wei Tu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
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Egi M, Ogura H, Yatabe T, Atagi K, Inoue S, Iba T, Kakihana Y, Kawasaki T, Kushimoto S, Kuroda Y, Kotani J, Shime N, Taniguchi T, Tsuruta R, Doi K, Doi M, Nakada T, Nakane M, Fujishima S, Hosokawa N, Masuda Y, Matsushima A, Matsuda N, Yamakawa K, Hara Y, Sakuraya M, Ohshimo S, Aoki Y, Inada M, Umemura Y, Kawai Y, Kondo Y, Saito H, Taito S, Takeda C, Terayama T, Tohira H, Hashimoto H, Hayashida K, Hifumi T, Hirose T, Fukuda T, Fujii T, Miura S, Yasuda H, Abe T, Andoh K, Iida Y, Ishihara T, Ide K, Ito K, Ito Y, Inata Y, Utsunomiya A, Unoki T, Endo K, Ouchi A, Ozaki M, Ono S, Katsura M, Kawaguchi A, Kawamura Y, Kudo D, Kubo K, Kurahashi K, Sakuramoto H, Shimoyama A, Suzuki T, Sekine S, Sekino M, Takahashi N, Takahashi S, Takahashi H, Tagami T, Tajima G, Tatsumi H, Tani M, Tsuchiya A, Tsutsumi Y, Naito T, Nagae M, Nagasawa I, Nakamura K, Nishimura T, Nunomiya S, Norisue Y, Hashimoto S, Hasegawa D, Hatakeyama J, Hara N, Higashibeppu N, Furushima N, Furusono H, Matsuishi Y, Matsuyama T, Minematsu Y, Miyashita R, Miyatake Y, Moriyasu M, Yamada T, Yamada H, Yamamoto R, Yoshida T, Yoshida Y, Yoshimura J, Yotsumoto R, Yonekura H, Wada T, Watanabe E, Aoki M, Asai H, Abe T, Igarashi Y, Iguchi N, Ishikawa M, Ishimaru G, Isokawa S, Itakura R, Imahase H, Imura H, Irinoda T, Uehara K, Ushio N, Umegaki T, Egawa Y, Enomoto Y, Ota K, Ohchi Y, Ohno T, Ohbe H, Oka K, Okada N, Okada Y, Okano H, Okamoto J, Okuda H, Ogura T, Onodera Y, Oyama Y, Kainuma M, Kako E, Kashiura M, Kato H, Kanaya A, Kaneko T, Kanehata K, Kano K, Kawano H, Kikutani K, Kikuchi H, Kido T, Kimura S, Koami H, Kobashi D, Saiki I, Sakai M, Sakamoto A, Sato T, Shiga Y, Shimoto M, Shimoyama S, Shoko T, Sugawara Y, Sugita A, Suzuki S, Suzuki Y, Suhara T, Sonota K, Takauji S, Takashima K, Takahashi S, Takahashi Y, Takeshita J, Tanaka Y, Tampo A, Tsunoyama T, Tetsuhara K, Tokunaga K, Tomioka Y, Tomita K, Tominaga N, Toyosaki M, Toyoda Y, Naito H, Nagata I, Nagato T, Nakamura Y, Nakamori Y, Nahara I, Naraba H, Narita C, Nishioka N, Nishimura T, Nishiyama K, Nomura T, Haga T, Hagiwara Y, Hashimoto K, Hatachi T, Hamasaki T, Hayashi T, Hayashi M, Hayamizu A, Haraguchi G, Hirano Y, Fujii R, Fujita M, Fujimura N, Funakoshi H, Horiguchi M, Maki J, Masunaga N, Matsumura Y, Mayumi T, Minami K, Miyazaki Y, Miyamoto K, Murata T, Yanai M, Yano T, Yamada K, Yamada N, Yamamoto T, Yoshihiro S, Tanaka H, Nishida O. The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020). Acute Med Surg 2021; 8:e659. [PMID: 34484801 PMCID: PMC8390911 DOI: 10.1002/ams2.659] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The Japanese Clinical Practice Guidelines for Management of Sepsis and Septic Shock 2020 (J-SSCG 2020), a Japanese-specific set of clinical practice guidelines for sepsis and septic shock created as revised from J-SSCG 2016 jointly by the Japanese Society of Intensive Care Medicine and the Japanese Association for Acute Medicine, was first released in September 2020 and published in February 2021. An English-language version of these guidelines was created based on the contents of the original Japanese-language version. The purpose of this guideline is to assist medical staff in making appropriate decisions to improve the prognosis of patients undergoing treatment for sepsis and septic shock. We aimed to provide high-quality guidelines that are easy to use and understand for specialists, general clinicians, and multidisciplinary medical professionals. J-SSCG 2016 took up new subjects that were not present in SSCG 2016 (e.g., ICU-acquired weakness [ICU-AW], post-intensive care syndrome [PICS], and body temperature management). The J-SSCG 2020 covered a total of 22 areas with four additional new areas (patient- and family-centered care, sepsis treatment system, neuro-intensive treatment, and stress ulcers). A total of 118 important clinical issues (clinical questions, CQs) were extracted regardless of the presence or absence of evidence. These CQs also include those that have been given particular focus within Japan. This is a large-scale guideline covering multiple fields; thus, in addition to the 25 committee members, we had the participation and support of a total of 226 members who are professionals (physicians, nurses, physiotherapists, clinical engineers, and pharmacists) and medical workers with a history of sepsis or critical illness. The GRADE method was adopted for making recommendations, and the modified Delphi method was used to determine recommendations by voting from all committee members. As a result, 79 GRADE-based recommendations, 5 Good Practice Statements (GPS), 18 expert consensuses, 27 answers to background questions (BQs), and summaries of definitions and diagnosis of sepsis were created as responses to 118 CQs. We also incorporated visual information for each CQ according to the time course of treatment, and we will also distribute this as an app. The J-SSCG 2020 is expected to be widely used as a useful bedside guideline in the field of sepsis treatment both in Japan and overseas involving multiple disciplines.
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Mendes RDS, Pelosi P, Schultz MJ, Rocco PRM, Silva PL. Fluids in ARDS: more pros than cons. Intensive Care Med Exp 2020; 8:32. [PMID: 33336259 PMCID: PMC7746428 DOI: 10.1186/s40635-020-00319-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 06/23/2020] [Indexed: 02/07/2023] Open
Abstract
In acute respiratory distress syndrome (ARDS), increased pulmonary vascular permeability makes the lung vulnerable to edema. The use of conservative as compared to liberal fluid strategies may increase the number of ventilator-free days and survival, as well as reduce organ dysfunction. Monitoring the effects of fluid administration is of the utmost importance; dynamic indexes, such as stroke volume and pulse pressure variations, outperform static ones, such as the central venous pressure. The passive leg raise and end-expiratory occlusion tests are recommended for guiding fluid management decisions. The type of intravenous fluids should also be taken into consideration: crystalloids, colloids, and human albumin have all been used for fluid resuscitation. Recent studies have also shown differences in outcome between balanced and non-balanced intravenous solutions. In preclinical studies, infusion of albumin promotes maintenance of the glycocalyx layer, reduces inflammation, and improves alveolar-capillary membrane permeability. Fluids in ARDS must be administered cautiously, considering hemodynamic and perfusion status, oncotic and hydrostatic pressures, ARDS severity, fluid type, volume and infusion rate, and cardiac and renal function. Of note, no guideline to date has recommended a specific fluid composition for use in ARDS; most physicians currently follow recommendations for sepsis.
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Affiliation(s)
- Renata de S Mendes
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Biophysics Institute, Federal University of Rio de Janeiro, Centro de Ciências da Saúde, Avenida Carlos Chagas Filho, s/n, Bloco G-014, Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil
| | - Paolo Pelosi
- Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.,San Martino Policlinico Hospital, IRCCS for Oncology and Neurosciences, Genoa, Italy
| | - Marcus J Schultz
- Department of Intensive Care, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands.,Mahidol Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand.,Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Patricia R M Rocco
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Biophysics Institute, Federal University of Rio de Janeiro, Centro de Ciências da Saúde, Avenida Carlos Chagas Filho, s/n, Bloco G-014, Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil
| | - Pedro L Silva
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Biophysics Institute, Federal University of Rio de Janeiro, Centro de Ciências da Saúde, Avenida Carlos Chagas Filho, s/n, Bloco G-014, Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil.
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Su Y, Liu K, Zheng JL, Li X, Zhu DM, Zhang Y, Zhang YJ, Wang CS, SHI TT, Luo Z, Tu GW. Hemodynamic monitoring in patients with venoarterial extracorporeal membrane oxygenation. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:792. [PMID: 32647717 PMCID: PMC7333156 DOI: 10.21037/atm.2020.03.186] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is an effective mechanical circulatory support modality that rapidly restores systemic perfusion for circulatory failure in patients. Given the huge increase in VA-ECMO use, its optimal management depends on continuous and discrete hemodynamic monitoring. This article provides an overview of VA-ECMO pathophysiology, and the current state of the art in hemodynamic monitoring in patients with VA-ECMO.
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Affiliation(s)
- Ying Su
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Kai Liu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ji-Li Zheng
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Xin Li
- Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Du-Ming Zhu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Ying Zhang
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Yi-Jie Zhang
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Chun-Sheng Wang
- Department of Cardiac Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Tian-Tian SHI
- Department of medicine, Yale New Haven Health/Bridgeport Hospital, Bridgeport, USA
| | - Zhe Luo
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Department of Critical Care Medicine, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen 361015, China
| | - Guo-Wei Tu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Monnet X, Teboul JL. Prediction of fluid responsiveness in spontaneously breathing patients. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:790. [PMID: 32647715 PMCID: PMC7333112 DOI: 10.21037/atm-2020-hdm-18] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 05/25/2020] [Indexed: 01/01/2023]
Abstract
In patients with acute circulatory failure, the primary goal of volume expansion is to increase cardiac output. However, this expected effect is inconstant, so that in many instances, fluid administration does not result in any haemodynamic benefit. In such cases, fluid could only exert some deleterious effects. It is now well demonstrated that excessive fluid administration is harmful, especially during acute respiratory distress syndrome and in sepsis or septic shock. This is the reason why some tests and indices have been developed in order to assess "fluid responsiveness" before deciding to perform volume expansion. While preload markers have been used for many years for this purpose, they have been repeatedly shown to be unreliable, which is mainly related to physiological issues. As alternatives, "dynamic" indices have been introduced. These indices are based upon the changes in cardiac output or stroke volume resulting from various changes in preload conditions, induced by heart-lung interactions, postural manoeuvres or by the infusion of small amounts of fluids. The haemodynamic effects and the reliability of these "dynamic" indices of fluid responsiveness are now well described. From their respective advantages and limitations, it is also possible to describe their clinical interest and the clinical setting in which they are applicable.
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Affiliation(s)
- Xavier Monnet
- Hôpitaux Universitaires Paris-Saclay, Assistance Publique - Hôpitaux de Paris, Hôpital de Bicêtre, Service de Médecine Intensive-Réanimation, Le Kremlin-Bicêtre, France
- Inserm UMR S_999, Univ Paris-Saclay, Le Kremlin-Bicêtre, France
| | - Jean-Louis Teboul
- Hôpitaux Universitaires Paris-Saclay, Assistance Publique - Hôpitaux de Paris, Hôpital de Bicêtre, Service de Médecine Intensive-Réanimation, Le Kremlin-Bicêtre, France
- Inserm UMR S_999, Univ Paris-Saclay, Le Kremlin-Bicêtre, France
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31
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Hou JY, Zheng JL, Ma GG, Lin XM, Hao GW, Su Y, Luo JC, Liu K, Luo Z, Tu GW. Evaluation of radial artery pulse pressure effects on detection of stroke volume changes after volume loading maneuvers in cardiac surgical patients. ANNALS OF TRANSLATIONAL MEDICINE 2020; 8:787. [PMID: 32647712 PMCID: PMC7333092 DOI: 10.21037/atm-20-847] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
BACKGROUND Fluid responsiveness is defined as an increase in cardiac output (CO) or stroke volume (SV) of >10-15% after fluid challenge (FC). However, CO or SV monitoring is often not available in clinical practice. The aim of this study was to evaluate whether changes in radial artery pulse pressure (rPP) induced by FC or passive leg raising (PLR) correlates with changes in SV in patients after cardiac surgery. METHODS This prospective observational study included 102 patients undergoing cardiac surgery, in which rPP and SV were recorded before and immediately after a PLR test and FC with 250 mL of Gelofusine for 10 min. SV was measured using pulse contour analysis. Patients were divided into responders (≥15% increase in SV after FC) and non-responders. The hemodynamic variables between responders and non-responders were analyzed to assess the ability of rPP to track SV changes. RESULTS A total of 52% patients were fluid responders in this study. An rPP increase induced by FC was significantly correlated with SV changes after a FC (ΔSV-FC, r=0.62, P<0.01). A fluid-induced increase in rPP (ΔrPP-FC) of >16% detected a fluid-induced increase in SV of >15%, with a sensitivity of 91% and a specificity of 73%. The area under the receiver operating characteristic curve (AUROC) for the fluid-induced changes in rPP identified fluid responsiveness was 0.881 (95% CI: 0.802-0.937). A grey zone of 16-34% included 30% of patients for ΔrPP-FC. The ΔrPP-PLR was weakly correlated with ΔSV-FC (r=0.30, P<0.01). An increase in rPP induced by PLR (ΔrPP-PLR) predicted fluid responsiveness with an AUROC of 0.734 (95% CI: 0.637-0.816). A grey zone of 10-23% included 52% of patients for ΔrPP-PLR. CONCLUSIONS Changes in rPP might be used to detect changes in SV via FC in mechanically ventilated patients after cardiac surgery. In contrast, changes in rPP induced by PLR are unreliable predictors of fluid responsiveness.
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Affiliation(s)
- Jun-Yi Hou
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ji-Li Zheng
- Department of Nursing, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Guo-Guang Ma
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiao-Ming Lin
- Department of Critical Care Medicine, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China
| | - Guang-Wei Hao
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Su
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jing-Chao Luo
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Kai Liu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhe Luo
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Critical Care Medicine, Xiamen Branch, Zhongshan Hospital, Fudan University, Xiamen, China
| | - Guo-Wei Tu
- Department of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
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32
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Evaluation of fluid responsiveness during COVID-19 pandemic: what are the remaining choices? J Anesth 2020; 34:758-764. [PMID: 32451626 PMCID: PMC7246295 DOI: 10.1007/s00540-020-02801-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2020] [Accepted: 05/16/2020] [Indexed: 12/14/2022]
Abstract
Non-protocolized fluid administration in critically ill patients, especially those with acute respiratory distress syndrome (ARDS), is associated with poor outcomes. Therefore, fluid administration in patients with Coronavirus disease (COVID-19) should be properly guided. Choice of an index to guide fluid management during a pandemic with mass patient admissions carries an additional challenge due to the relatively limited resources. An ideal test for assessment of fluid responsiveness during this pandemic should be accurate in ARDS patients, economic, easy to interpret by junior staff, valid in patients in the prone position and performed with minimal contact with the patient to avoid spread of infection. Patients with COVID-19 ARDS are divided into two phenotypes (L phenotype and H phenotype) according to their lung compliance. Selection of the proper index for fluid responsiveness varies according to the patient phenotype. Heart–lung interaction methods can be used only in patients with L phenotype ARDS. Real-time measures, such a pulse pressure variation, are more appropriate for use during this pandemic compared to ultrasound-derived measures, because contamination of the ultrasound machine can spread infection. Preload challenge tests are suitable for use in all COVID-19 patients. Passive leg raising test is relatively better than mini-fluid challenge test, because it can be repeated without overloading the patient with fluids. Trendelenburg maneuver is a suitable alternative to the passive leg raising test in patients with prone position. If a cardiac output monitor was not available, the response to the passive leg raising test could be traced by measurement of the pulse pressure or the perfusion index. Preload modifying maneuvers, such as tidal volume challenge, can also be used in COVID-19 patients, especially if the patient was in the gray zone of other dynamic tests. However, the preload modifying maneuvers were not extensively evaluated outside the operating room. Selection of the proper test would vary according to the level of healthcare in the country and the load of admissions which might be overwhelming. Evaluation of the volume status should be comprehensive; therefore, the presence of signs of volume overload such as lower limb edema, lung edema, and severe hypoxemia should be considered beside the usual indices for fluid responsiveness.
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Gavelli F, Shi R, Teboul JL, Azzolina D, Monnet X. The end-expiratory occlusion test for detecting preload responsiveness: a systematic review and meta-analysis. Ann Intensive Care 2020; 10:65. [PMID: 32449104 PMCID: PMC7246264 DOI: 10.1186/s13613-020-00682-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 05/16/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND We performed a systematic review and meta-analysis of studies assessing the end-expiratory occlusion test (EEXPO test)-induced changes in cardiac output (CO) measured by any haemodynamic monitoring device, as indicators of preload responsiveness. METHODS MEDLINE, EMBASE and Cochrane Database were screened for original articles. Bivariate random-effects meta-analysis determined the Area under the Summary Receiver Operating Characteristic (AUSROC) curve of EEXPO test-induced changes in CO to detect preload responsiveness, as well as pooled sensitivity and specificity and the best diagnostic threshold. RESULTS Thirteen studies (530 patients) were included. Nine studies were performed in the intensive care unit and four in the operating room. The pooled sensitivity and the pooled specificity for the EEXPO test-induced changes in CO were 0.85 [0.77-0.91] and 0.88 [0.83-0.91], respectively. The AUSROC curve was 0.91 [0.86-0.94] with the best threshold of CO increase at 5.1 ± 0.2%. The accuracy of the test was not different when changes in CO were monitored through pulse contour analysis compared to other methods (AUSROC: 0.93 [0.91-0.95] vs. 0.87 [0.82-0.96], respectively, p = 0.62). Also, it was not different in studies in which the tidal volume was ≤ 7 mL/kg compared to the remaining ones (AUSROC: 0.96 [0.92-0.97] vs. 0.89 [0.82-0.95] respectively, p = 0.44). Subgroup analyses identified one possible source of heterogeneity. CONCLUSIONS EEXPO test-induced changes in CO reliably detect preload responsiveness. The diagnostic performance is not influenced by the method used to track the EEXPO test-induced changes in CO. Trial registration The study protocol was prospectively registered on PROSPERO: CRD42019138265.
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Affiliation(s)
- Francesco Gavelli
- Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, 78, rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France. .,Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Inserm UMR S_999, 94270, Le Kremlin-Bicêtre, France. .,Emergency Medicine Unit, Department of Translational Medicine, Università degli Studi del Piemonte Orientale, 28100, Novara, Italy.
| | - Rui Shi
- Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, 78, rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France.,Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Inserm UMR S_999, 94270, Le Kremlin-Bicêtre, France
| | - Jean-Louis Teboul
- Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, 78, rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France.,Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Inserm UMR S_999, 94270, Le Kremlin-Bicêtre, France
| | - Danila Azzolina
- Department of Translational Medicine, Università degli Studi del Piemonte Orientale, 28100, Novara, Italy
| | - Xavier Monnet
- Service de Médecine Intensive-Réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Saclay, 78, rue du Général Leclerc, 94270, Le Kremlin-Bicêtre, France.,Université Paris-Saclay, Faculté de Médecine Paris-Saclay, Inserm UMR S_999, 94270, Le Kremlin-Bicêtre, France
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Does End-Expiratory Occlusion Test Predict Fluid Responsiveness in Mechanically Ventilated Patients? A Systematic Review and Meta-Analysis. Shock 2020; 54:751-760. [PMID: 32433213 DOI: 10.1097/shk.0000000000001545] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND We performed a systematic review and meta-analysis of studies investigating the end-expiratory occlusion (EEO) test induced changes in cardiac index (CI) and in arterial pressure as predictors of fluid responsiveness in adults receiving mechanical ventilation. METHODS MEDLINE, EMBASE, Cochrane Database, and Chinese database were screened for relevant original and review articles. The meta-analysis determined the pooled sensitivity, specificity, diagnostic odds ratio, area under the receiver operating characteristic curve (AUROC), and threshold for the EEO test assessed with CI and arterial pressure. In addition, heterogeneity and subgroup analyses were performed. RESULTS We included 13 studies involving 479 adult patients and 523 volume expansion. Statistically significant heterogeneity was identified, and meta-regression indicated that prone position was the major sources of heterogeneity. After removal of the study performed in prone position, heterogeneity became nonsignificant. EEO-induced changes in CI (or surrogate) are accurate for predicting fluid responsiveness in semirecumbent or supine patients, with excellent pooled sensitivity of 92% (95% CI, 0.88-0.95, I = 0.00%), specificity of 89% (95% CI, 0.83-0.93, I = 34.34%), and a summary AUROC of 0.95 (95% CI, 0.93-0.97). The mean threshold was an EEO-induced increase in CI (or surrogate) of more than 4.9 ± 1.5%. EEO test exhibited better diagnostic performance in semirecumbent or supine patients than prone patients, with higher AUROC (0.95 vs. 0.65; P < 0.001). In addition, EEO test exhibited higher specificity (0.93 vs. 0.83, P < 0.001) in patients ventilated with low tidal volume compared with normal or nearly normal tidal volume. However, EEO test was less accurate when its hemodynamic effects were detected on arterial pressure. EEO-induced changes in arterial pressure exhibited a lower sensitivity (0.88 vs. 0.92; P = 0.402), specificity (0.77 vs. 0.90; P = 0.019), and AUROC (0.87 vs. 0.96; P < 0.001) compared with EEO-induced changes in CI (or surrogate). CONCLUSIONS EEO test is accurate to predict fluid responsiveness in semirecumbent or supine patients but not in prone patients. EEO test exhibited higher specificity in patients ventilated with low tidal volume, and its accuracy is better when its hemodynamic effects are assessed by direct measurement of CI than by the arterial pressure.
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Sander M, Schneck E, Habicher M. Management of perioperative volume therapy - monitoring and pitfalls. Korean J Anesthesiol 2020; 73:103-113. [PMID: 32106641 PMCID: PMC7113166 DOI: 10.4097/kja.20022] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 02/26/2020] [Indexed: 12/14/2022] Open
Abstract
Over 300 million surgical procedures are performed every year worldwide. Anesthesiologists play an important role in the perioperative process by assessing the overall risk of surgery and aim to reduce the risk of complications. Perioperative hemodynamic and volume management can help to improve outcomes in perioperative patients. There has been ongoing discussion about goal-directed therapy. However, there is a consensus that fluid overload and severe fluid depletion in the perioperative period are harmful and can lead to adverse outcomes. This article provides an overview of how to evaluate the fluid responsiveness of patients, details which parameters could be used, and what limitations should be noted.
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Affiliation(s)
- Michael Sander
- Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Giessen, UKGM, Justus-Liebig University Giessen, Giessen, Germany
| | - Emmanuel Schneck
- Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Giessen, UKGM, Justus-Liebig University Giessen, Giessen, Germany
| | - Marit Habicher
- Department of Anesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Giessen, UKGM, Justus-Liebig University Giessen, Giessen, Germany
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36
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Alvarado Sánchez JI, Caicedo Ruiz JD, Diaztagle Fernández JJ, Ospina-Tascón GA, Cruz Martínez LE. Use of Pulse Pressure Variation as Predictor of Fluid Responsiveness in Patients Ventilated With Low Tidal Volume: A Systematic Review and Meta-Analysis. CLINICAL MEDICINE INSIGHTS: CIRCULATORY, RESPIRATORY AND PULMONARY MEDICINE 2020. [DOI: https://doi.org/10.1177/1179548420901518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Introduction: Pulse pressure variation (PPV) has been shown to be useful to predict fluid responsiveness in patients ventilated at tidal volume (Vt) >8 mL kg−1. Nevertheless, most conditions in critical care force to use lower Vt. Thus, we sought to evaluate the operative performance of PPV when a Vt ⩽8 mL kg−1 is used during mechanical ventilation support. Methods: We searched PubMed and Embase databases for articles evaluating the operative performance of PPV as a predictor of fluid responsiveness in critical care and perioperative adult patients ventilated with tidal volume ⩽8 mL kg−1 without respiratory effort and arrhythmias, between January 1990 and January 2019. We included cohort and cross-sectional studies. Two authors performed an Independently selection using predefined terms of search. The fitted data of sensitivity, specificity, and area under the curve (AUC) were assessed by bivariate and hierarchical analyses. Results: We retrieved 19 trials with a total of 777 patients and a total of 935 fluid challenges. The fitted sensitivity of PPV to predict fluid responsiveness during mechanical ventilation at Vt ⩽8 mL kg−1 was 0.65 (95% confidence interval [CI]: 0.57-0.73), the specificity was 0.79 (95% CI: 0.73-0.84), and the AUC was 0.75. The diagnostic odds ratio was 5.5 (95% CI: 3.08-10.01, P < .001) by the random-effects model. Conclusions: Pulse pressure variation shows a fair operative performance as a predictor of fluid responsiveness in critical care and perioperative patients ventilated with a tidal volume ⩽8 mL kg−1 without respiratory effort and arrhythmias.
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Affiliation(s)
- Jorge Iván Alvarado Sánchez
- Department of Anaesthesiology of Centro Policlínico del Olaya, Bogota, Colombia
- Department of Physiology Sciences, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia
| | - Juan Daniel Caicedo Ruiz
- Department of Physiology Sciences, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia
| | - Juan José Diaztagle Fernández
- Department of Physiology Sciences, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia
- Department of Internal Medicine of Hospital de San Jose, Fundación Universitaria de Ciencias de la Salud, Bogota, Colombia
| | | | - Luis Eduardo Cruz Martínez
- Department of Physiology Sciences, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia
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Alvarado Sánchez JI, Caicedo Ruiz JD, Diaztagle Fernández JJ, Ospina-Tascón GA, Cruz Martínez LE. Use of Pulse Pressure Variation as Predictor of Fluid Responsiveness in Patients Ventilated With Low Tidal Volume: A Systematic Review and Meta-Analysis. Clin Med Insights Circ Respir Pulm Med 2020; 14:1179548420901518. [PMID: 32047358 PMCID: PMC6984427 DOI: 10.1177/1179548420901518] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2019] [Accepted: 12/22/2019] [Indexed: 11/15/2022] Open
Abstract
INTRODUCTION Pulse pressure variation (PPV) has been shown to be useful to predict fluid responsiveness in patients ventilated at tidal volume (Vt) >8 mL kg-1. Nevertheless, most conditions in critical care force to use lower Vt. Thus, we sought to evaluate the operative performance of PPV when a Vt ⩽8 mL kg-1 is used during mechanical ventilation support. METHODS We searched PubMed and Embase databases for articles evaluating the operative performance of PPV as a predictor of fluid responsiveness in critical care and perioperative adult patients ventilated with tidal volume ⩽8 mL kg-1 without respiratory effort and arrhythmias, between January 1990 and January 2019. We included cohort and cross-sectional studies. Two authors performed an Independently selection using predefined terms of search. The fitted data of sensitivity, specificity, and area under the curve (AUC) were assessed by bivariate and hierarchical analyses. RESULTS We retrieved 19 trials with a total of 777 patients and a total of 935 fluid challenges. The fitted sensitivity of PPV to predict fluid responsiveness during mechanical ventilation at Vt ⩽8 mL kg-1 was 0.65 (95% confidence interval [CI]: 0.57-0.73), the specificity was 0.79 (95% CI: 0.73-0.84), and the AUC was 0.75. The diagnostic odds ratio was 5.5 (95% CI: 3.08-10.01, P < .001) by the random-effects model. CONCLUSIONS Pulse pressure variation shows a fair operative performance as a predictor of fluid responsiveness in critical care and perioperative patients ventilated with a tidal volume ⩽8 mL kg-1 without respiratory effort and arrhythmias.
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Affiliation(s)
- Jorge Iván Alvarado Sánchez
- Department of Anaesthesiology of Centro Policlínico del Olaya, Bogota, Colombia
- Department of Physiology Sciences, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia
| | - Juan Daniel Caicedo Ruiz
- Department of Physiology Sciences, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia
| | - Juan José Diaztagle Fernández
- Department of Physiology Sciences, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia
- Department of Internal Medicine of Hospital de San Jose, Fundación Universitaria de Ciencias de la Salud, Bogota, Colombia
| | | | - Luis Eduardo Cruz Martínez
- Department of Physiology Sciences, School of Medicine, Universidad Nacional de Colombia, Bogota, Colombia
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Teboul JL, Monnet X, Chemla D, Michard F. Arterial Pulse Pressure Variation with Mechanical Ventilation. Am J Respir Crit Care Med 2019; 199:22-31. [PMID: 30138573 DOI: 10.1164/rccm.201801-0088ci] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Fluid administration leads to a significant increase in cardiac output in only half of ICU patients. This has led to the concept of assessing fluid responsiveness before infusing fluid. Pulse pressure variation (PPV), which quantifies the changes in arterial pulse pressure during mechanical ventilation, is one of the dynamic variables that can predict fluid responsiveness. The underlying hypothesis is that large respiratory changes in left ventricular stroke volume, and thus pulse pressure, occur in cases of biventricular preload responsiveness. Several studies showed that PPV accurately predicts fluid responsiveness when patients are under controlled mechanical ventilation. Nevertheless, in many conditions encountered in the ICU, the interpretation of PPV is unreliable (spontaneous breathing, cardiac arrhythmias) or doubtful (low Vt). To overcome some of these limitations, researchers have proposed using simple tests such as the Vt challenge to evaluate the dynamic response of PPV. The applicability of PPV is higher in the operating room setting, where fluid strategies made on the basis of PPV improve postoperative outcomes. In medical critically ill patients, although no randomized controlled trial has compared PPV-based fluid management with standard care, the Surviving Sepsis Campaign guidelines recommend using fluid responsiveness indices, including PPV, whenever applicable. In conclusion, PPV is useful for managing fluid therapy under specific conditions where it is reliable. The kinetics of PPV during diagnostic or therapeutic tests is also helpful for fluid management.
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Affiliation(s)
| | - Xavier Monnet
- 1 Medical Intensive Care Unit, Bicetre Hospital, and
| | - Denis Chemla
- 2 Department of Physiology, Bicetre Hospital, Paris-South University Hospitals, Inserm UMR_S999, Paris-South University, Le Kremlin-Bicêtre, France; and
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de Courson H, Ferrer L, Cane G, Verchère E, Sesay M, Nouette-Gaulain K, Biais M. Evaluation of least significant changes of pulse contour analysis-derived parameters. Ann Intensive Care 2019; 9:116. [PMID: 31602550 PMCID: PMC6787117 DOI: 10.1186/s13613-019-0590-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 09/30/2019] [Indexed: 12/12/2022] Open
Abstract
Background Many maneuvers assessing fluid responsiveness (minifluid challenge, lung recruitment maneuver, end-expiratory occlusion test, passive leg raising) are considered as positive when small variations in cardiac index, stroke volume index, stroke volume variation or pulse pressure variation occur. Pulse contour analysis allows continuous and real-time cardiac index, stroke volume, stroke volume variation and pulse pressure variation estimations. To use these maneuvers with pulse contour analysis, the knowledge of the minimal change that needs to be measured by a device to recognize a real change (least significant change) has to be studied. The aim of this study was to evaluate the least significant change of cardiac index, stroke volume index, stroke volume variation and pulse pressure variation obtained using pulse contour analysis (ProAQT®, Pulsion Medical System, Germany). Methods In this observational study, we included 50 mechanically ventilated patients undergoing neurosurgery in the operating room. Cardiac index, stroke volume index, pulse pressure variation and stroke volume variation obtained using ProAQT® (Pulsion Medical System, Germany) were recorded every 12 s during 15-min steady-state periods. Least significant changes were calculated every minute. Results Least significant changes statistically differed over time for cardiac index, stroke volume index, pulse pressure variation and stroke volume variation (p < 0.001). Least significant changes ranged from 1.3 to 0.7% for cardiac index, from 1.3 to 0.8% for stroke volume index, from 10 to 4.9% for pulse pressure variation and from 10.8 to 4.3% for stroke volume variation. Conclusion To conclude, the present study suggests that pulse contour analysis is able to detect rapid and small changes in cardiac index and stroke volume index, but the interpretation of rapid and small changes of pulse pressure variation and stroke volume variation must be done with caution.
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Affiliation(s)
- Hugues de Courson
- Department of Anesthesiology and Critical Care, Pellegrin Bordeaux University Hospital, 33000, Bordeaux, France
| | - Loic Ferrer
- Biostatistics Unit, Institut Curie, U900, Hôpital René Huguenin Saint-Cloud, Saint-Cloud, France
| | - Grégoire Cane
- Department of Anesthesiology and Critical Care, Pellegrin Bordeaux University Hospital, 33000, Bordeaux, France
| | - Eric Verchère
- Department of Anesthesiology and Critical Care, Pellegrin Bordeaux University Hospital, 33000, Bordeaux, France
| | - Musa Sesay
- Department of Anesthesiology and Critical Care, Pellegrin Bordeaux University Hospital, 33000, Bordeaux, France
| | - Karine Nouette-Gaulain
- Department of Anesthesiology and Critical Care, Pellegrin Bordeaux University Hospital, 33000, Bordeaux, France.,INSERM, U12-11, Laboratoire de Maladies Rares: Génétique et Métabolisme (MRGM), Univ. Bordeaux, Bordeaux, France
| | - Matthieu Biais
- Department of Anesthesiology and Critical Care, Pellegrin Bordeaux University Hospital, 33000, Bordeaux, France. .,Adaptation cardiovasculaire à l'ischémie, U1034, Univ. Bordeaux, 33600, Pessac, France. .,Department of Anaesthesiology and Critical Care Pellegrin, Hôpital Pellegrin, CHU de Bordeaux, 33076, Bordeaux Cedex, France.
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Gavelli F, Teboul JL, Monnet X. The end-expiratory occlusion test: please, let me hold your breath! Crit Care 2019; 23:274. [PMID: 31391083 PMCID: PMC6686261 DOI: 10.1186/s13054-019-2554-y] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 07/24/2019] [Indexed: 01/10/2023] Open
Affiliation(s)
- Francesco Gavelli
- Service de médecine intensive-réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Sud, 78, rue du Général Leclerc, F-94270 Le Kremlin-Bicêtre, France
- Faculté de médecine Paris-Sud, Université Paris-Sud, Inserm UMR S_999, F-94270 Le Kremlin-Bicêtre, France
- Department of Translational Medicine, Emergency Medicine Unit, Università degli Studi del Piemonte Orientale, 28100 Novara, Italy
| | - Jean-Louis Teboul
- Service de médecine intensive-réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Sud, 78, rue du Général Leclerc, F-94270 Le Kremlin-Bicêtre, France
- Faculté de médecine Paris-Sud, Université Paris-Sud, Inserm UMR S_999, F-94270 Le Kremlin-Bicêtre, France
| | - Xavier Monnet
- Service de médecine intensive-réanimation, Hôpital de Bicêtre, Hôpitaux Universitaires Paris-Sud, 78, rue du Général Leclerc, F-94270 Le Kremlin-Bicêtre, France
- Faculté de médecine Paris-Sud, Université Paris-Sud, Inserm UMR S_999, F-94270 Le Kremlin-Bicêtre, France
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Messina A, Dell'Anna A, Baggiani M, Torrini F, Maresca GM, Bennett V, Saderi L, Sotgiu G, Antonelli M, Cecconi M. Functional hemodynamic tests: a systematic review and a metanalysis on the reliability of the end-expiratory occlusion test and of the mini-fluid challenge in predicting fluid responsiveness. CRITICAL CARE : THE OFFICIAL JOURNAL OF THE CRITICAL CARE FORUM 2019; 23:264. [PMID: 31358025 PMCID: PMC6664788 DOI: 10.1186/s13054-019-2545-z] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Accepted: 07/17/2019] [Indexed: 01/22/2023]
Abstract
Background Bedside functional hemodynamic assessment has gained in popularity in the last years to overcome the limitations of static or dynamic indexes in predicting fluid responsiveness. The aim of this systematic review and metanalysis of studies is to investigate the reliability of the functional hemodynamic tests (FHTs) used to assess fluid responsiveness in adult patients in the intensive care unit (ICU) and operating room (OR). Methods MEDLINE, EMBASE, and Cochrane databases were screened for relevant articles using a FHT, with the exception of the passive leg raising. The QUADAS-2 scale was used to assess the risk of bias of the included studies. In-between study heterogeneity was assessed through the I2 indicator. Bias assessment graphs were plotted, and Egger’s regression analysis was used to evaluate the publication bias. The metanalysis determined the pooled area under the receiving operating characteristic (ROC) curve, sensitivity, specificity, and threshold for two FHTs: the end-expiratory occlusion test (EEOT) and the mini-fluid challenge (FC). Results After text selection, 21 studies met the inclusion criteria, 7 performed in the OR, and 14 in the ICU between 2005 and 2018. The search included 805 patients and 870 FCs with a median (IQR) of 39 (25–50) patients and 41 (30–52) FCs per study. The median fluid responsiveness was 54% (45–59). Ten studies (47.6%) adopted a gray zone analysis of the ROC curve, and a median (IQR) of 20% (15–51) of the enrolled patients was included in the gray zone. The pooled area under the ROC curve for the end-expiratory occlusion test (EEOT) was 0.96 (95%CI 0.92–1.00). The pooled sensitivity and specificity were 0.86 (95%CI 0.74–0.94) and 0.91 (95%CI 0.85–0.95), respectively, with a best threshold of 5% (4.0–8.0%). The pooled area under the ROC curve for the mini-FC was 0.91 (95%CI 0.85–0.97). The pooled sensitivity and specificity were 0.82 (95%CI 0.76–0.88) and 0.83 (95%CI 0.77–0.89), respectively, with a best threshold of 5% (3.0–7.0%). Conclusions The EEOT and the mini-FC reliably predict fluid responsiveness in the ICU and OR. Other FHTs have been tested insofar in heterogeneous clinical settings and, despite promising results, warrant further investigations. Electronic supplementary material The online version of this article (10.1186/s13054-019-2545-z) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Antonio Messina
- Department of Anesthesia and Intensive Care Medicine, Humanitas Clinical and Research Center - IRCCS, Via Alessandro Manzoni, 56, 20089, Rozzano, MI, Italy.
| | - Antonio Dell'Anna
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of the Sacred Heart, Fondazione "Policlinico Universitario A. Gemelli", Rome, Italy.,Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Marta Baggiani
- Department of Anesthesiology and Intensive Care Medicine, A.O.U. Maggiore della Carità, Novara, Italy
| | - Flavia Torrini
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of the Sacred Heart, Fondazione "Policlinico Universitario A. Gemelli", Rome, Italy.,Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Gian Marco Maresca
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of the Sacred Heart, Fondazione "Policlinico Universitario A. Gemelli", Rome, Italy.,Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Victoria Bennett
- Department of Intensive Care Medicine, St George's University Hospital NHS Foundation Trust, London, UK
| | - Laura Saderi
- Clinical Epidemiology and Medical Statistics Unit, Department of Biomedical Sciences, University of Sassari, Research, Medical Education and Professional Development Unit, AOU Sassari, Sassari, Italy
| | - Giovanni Sotgiu
- Clinical Epidemiology and Medical Statistics Unit, Department of Biomedical Sciences, University of Sassari, Research, Medical Education and Professional Development Unit, AOU Sassari, Sassari, Italy
| | - Massimo Antonelli
- Department of Anesthesiology and Intensive Care Medicine, Catholic University of the Sacred Heart, Fondazione "Policlinico Universitario A. Gemelli", Rome, Italy.,Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Maurizio Cecconi
- Department of Anesthesia and Intensive Care Medicine, Humanitas Clinical and Research Center - IRCCS, Via Alessandro Manzoni, 56, 20089, Rozzano, MI, Italy.,Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, MI, Italy
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Ruste M, Bitker L, Yonis H, Riad Z, Louf-Durier A, Lissonde F, Perinel-Ragey S, Guerin C, Richard JC. Hemodynamic effects of extended prone position sessions in ARDS. Ann Intensive Care 2018; 8:120. [PMID: 30535921 PMCID: PMC6286298 DOI: 10.1186/s13613-018-0464-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 11/30/2018] [Indexed: 01/24/2023] Open
Abstract
Background Hemodynamic response to prone position (PP) has never been studied in a large series of patients with acute respiratory distress syndrome (ARDS). The primary aim of this study was to estimate the rate of PP sessions associated with cardiac index improvement. Secondary objective was to describe hemodynamic response to PP and during the shift from PP to supine position. Methods The study was a single-center retrospective observational study, performed on ARDS patients, undergoing at least one PP session under monitoring by transpulmonary thermodilution. PP sessions performed more than 10 days after ARDS onset, or with any missing cardiac index measurements before (T1), at the end (T3), and after the PP session (T4) were excluded. Changes in hemodynamic parameters during PP were tested after statistical adjustment for volume of fluid challenges, vasopressor and dobutamine dose at each time point to take into account therapeutic changes during PP sessions. Results In total, 107 patients fulfilled the inclusion criteria, totalizing 197 PP sessions. Changes in cardiac index between T1 and T2 (early response to PP) and between T1 and T3 (late response to PP) were significantly correlated (R2 = 0.42, p < 0.001) with a concordance rate amounting to 85%. Cardiac index increased significantly between T1 and T3 in 49 sessions (25% [95% confidence interval (CI95%) 18–32%]), decreased significantly in 46 (23% [CI95% 16–31%]), and remained stable in 102 (52% [CI95% 45–59%]). Global end-diastolic volume index (GEDVI) increased slightly but significantly from 719 ± 193 mL m−2 at T1 to 757 ± 209 mL m−2 at T3 and returned to baseline values at T4. Cardiac index and oxygen delivery decreased slightly but significantly from T3 to T4, without detectable increase in lactate level. Patients who increased their cardiac index during PP had significantly lower CI, GEDVI, global ejection fraction at T1, and received significantly more fluids than patients who did not. Conclusion PP is associated with an increase in cardiac index in 18% to 32% of all PP sessions and a sustained increase in GEDVI reversible after return to supine position. Return from prone to supine position is associated with a slight hemodynamic impairment. Electronic supplementary material The online version of this article (10.1186/s13613-018-0464-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Martin Ruste
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Laurent Bitker
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.,CREATIS INSERM 1044 CNRS 5220, Villeurbanne, France
| | - Hodane Yonis
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Zakaria Riad
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.,Université de Lyon, Université LYON I, Lyon, France
| | - Aurore Louf-Durier
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Floriane Lissonde
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France
| | - Sophie Perinel-Ragey
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.,Université de Lyon, Université LYON I, Lyon, France
| | - Claude Guerin
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France.,Université de Lyon, Université LYON I, Lyon, France.,IMRB, INSERM 955Eq13, Créteil, France
| | - Jean-Christophe Richard
- Service de Réanimation Médicale, Hôpital De La Croix Rousse, Hospices Civils de Lyon, 103 Grande Rue de la Croix Rousse, 69004, Lyon, France. .,Université de Lyon, Université LYON I, Lyon, France. .,CREATIS INSERM 1044 CNRS 5220, Villeurbanne, France.
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