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Bhalla AK, Klein MJ, Hotz J, Kwok J, Bonilla-Cartagena JE, Baron DA, Kohler K, Bornstein D, Chang D, Vu K, Armenta-Quiroz A, Nelson LP, Newth CJL, Khemani RG. Noninvasive Surrogate for Physiologic Dead Space Using the Carbon Dioxide Ventilatory Equivalent: Testing in a Single-Center Cohort, 2017-2023. Pediatr Crit Care Med 2024; 25:784-794. [PMID: 38771137 PMCID: PMC11379541 DOI: 10.1097/pcc.0000000000003539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
OBJECTIVES We sought to evaluate the association between the carbon dioxide ( co2 ) ventilatory equivalent (VEq co2 = minute ventilation/volume of co2 produced per min), a marker of dead space that does not require a blood gas measurement, and mortality risk. We compared the strength of this association to that of physiologic dead space fraction (V D /V t = [Pa co2 -mixed-expired P co2 ]/Pa co2 ) as well as to other commonly used markers of dead space (i.e., the end-tidal alveolar dead space fraction [AVDSf = (Pa co2 -end-tidal P co2 )/Pa co2 ], and ventilatory ratio [VR = (minute ventilation × Pa co2 )/(age-adjusted predicted minute ventilation × 37.5)]). DESIGN Retrospective cohort data, 2017-2023. SETTING Quaternary PICU. PATIENTS One hundred thirty-one children with acute respiratory distress syndrome. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS All dead space markers were calculated at the same 1-minute timepoint for each patient within the first 72 hours of using invasive mechanical ventilation. The 131 children had a median (interquartile range, IQR) age of 5.8 (IQR 1.4, 12.6) years, oxygenation index (OI) of 7.5 (IQR 4.6, 14.3), V D /V t of 0.47 (IQR 0.38, 0.61), and mortality was 17.6% (23/131). Higher VEq co2 ( p = 0.003), V D /V t ( p = 0.002), and VR ( p = 0.013) were all associated with greater odds of mortality in multivariable models adjusting for OI, immunosuppressive comorbidity, and overall severity of illness. We failed to identify an association between AVDSf and mortality in the multivariable modeling. Similarly, we also failed to identify an association between OI and mortality after controlling for any dead space marker in the modeling. For the 28-day ventilator-free days outcome, we failed to identify an association between V D /V t and the dead space markers in multivariable modeling, although OI was significant. CONCLUSIONS VEq co2 performs similarly to V D /V t and other surrogate dead space markers, is independently associated with mortality risk, and may be a reasonable noninvasive surrogate for V D /V t .
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Affiliation(s)
- Anoopindar K Bhalla
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Margaret J Klein
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Justin Hotz
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Jeni Kwok
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | | | - David A Baron
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Kristen Kohler
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Dinnel Bornstein
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Daniel Chang
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Kennedy Vu
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Anabel Armenta-Quiroz
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
| | - Lara P Nelson
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Christopher J L Newth
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Robinder G Khemani
- Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, University of Southern California, Los Angeles, CA
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2
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Yue H, Yong T. Progress in the relationship between mechanical ventilation parameters and ventilator-related complications during perioperative anesthesia. Postgrad Med J 2024; 100:619-625. [PMID: 38507221 DOI: 10.1093/postmj/qgae035] [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: 10/12/2023] [Revised: 01/27/2024] [Accepted: 02/13/2024] [Indexed: 03/22/2024]
Abstract
BACKGROUND Mechanical ventilation, as an important respiratory support, plays an important role in general anesthesia and it is the cornerstone of intraoperative management of surgical patients. Different from spontaneous respiration, intraoperative mechanical ventilation can lead to postoperative lung injury, and its impact on surgical mortality cannot be ignored. Postoperative lung injury increases hospital stay and is related to preoperative conditions, anesthesia time, and intraoperative ventilation settings. METHOD Through reading literature and research reports, the relationship between perioperative input parameters and output parameters related to mechanical ventilation and ventilator-related complications was reviewed, providing reference for the subsequent setting of input parameters of mechanical ventilation and new ventilation strategies. RESULTS The parameters of inspiratory pressure rise time and inspiratory time can change the gas distribution, gas flow rate and airway pressure into the lungs, but there are few clinical studies on them. It can be used as a prospective intervention to study the effect of specific protective ventilation strategies on pulmonary complications after perioperative anesthesia. CONCLUSION There are many factors affecting lung function after perioperative mechanical ventilation. Due to the difference of human body, the ventilation parameters suitable for each patient are different, and the deviation of each ventilation parameter can lead to postoperative pulmonary complications. Inspiratory pressure rise time and inspiratory time will be used as the new ventilation strategy.
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Affiliation(s)
- Hu Yue
- Department of Anesthesia Operation, The First People's Hospital of Shuangliu District, Chengdu (West China Airport Hospital of Sichuan University), Chengdu 610200, China
| | - Tao Yong
- Department of Anesthesia Operation, The First People's Hospital of Shuangliu District, Chengdu (West China Airport Hospital of Sichuan University), Chengdu 610200, China
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Mounier R, Diop S, Kallel H, Constantin JM, Roujansky A. Tidal volume in mechanically ventilated patients: Searching for Cinderella's shoe rather than 6 mL/kg for all. Anaesth Crit Care Pain Med 2024; 43:101356. [PMID: 38365168 DOI: 10.1016/j.accpm.2024.101356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 01/25/2024] [Accepted: 01/30/2024] [Indexed: 02/18/2024]
Affiliation(s)
- R Mounier
- Department of Anaesthesiology and Critical Care, Georges Pompidou European Hospital, Paris, France; Université Paris, Paris, France; INSERM U955, Équipe 15, Institut Mondor de la Recherche Biomédicale, Université Paris-Est-Créteil, France.
| | - S Diop
- Department of Anesthesiology, Marie Lannelongue Hospital, Paris Saint Joseph Hospital, 133 Avenue de la Résistance, 92350 Le Plessis Robinson, France; Cardiothoracic Intensive Care Unit. Marie Lannelongue Hospital, Paris Saint Joseph Hospital, 133 Avenue de la Résistance, 92350 Le Plessis Robinson, France
| | - H Kallel
- Réanimation Polyvalente, Centre Hospitalier de Cayenne, Cayenne, French Guiana; Tropical Biome et Immunopathologie CNRS UMR-9017, Inserm U 1019, Université de Guyane, French Guiana
| | - J M Constantin
- Department of Anaesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France; Sorbonne University, GRC 29, AP-HP, DMU DREAM, Paris, France
| | - A Roujansky
- Réanimation Polyvalente, Centre Hospitalier de Cayenne, Cayenne, French Guiana; Tropical Biome et Immunopathologie CNRS UMR-9017, Inserm U 1019, Université de Guyane, French Guiana
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4
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Joseph A, Petit M, Vieillard-Baron A. Hemodynamic effects of positive end-expiratory pressure. Curr Opin Crit Care 2024; 30:10-19. [PMID: 38085886 DOI: 10.1097/mcc.0000000000001124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
PURPOSE OF REVIEW Positive end-expiratory pressure (PEEP) is required in the Berlin definition of acute respiratory distress syndrome and is a cornerstone of its treatment. Application of PEEP increases airway pressure and modifies pleural and transpulmonary pressures according to respiratory mechanics, resulting in blood volume alteration into the pulmonary circulation. This can in turn affect right ventricular preload, afterload and function. At the opposite, PEEP may improve left ventricular function, providing no deleterious effect occurs on the right ventricle. RECENT FINDINGS This review examines the impact of PEEP on cardiac function with regards to heart-lung interactions, and describes its consequences on organs perfusion and function, including the kidney, gut, liver and the brain. PEEP in itself is not beneficious nor detrimental on end-organ hemodynamics, but its hemodynamic effects vary according to both respiratory mechanics and association with other hemodynamic variables such as central venous or mean arterial pressure. There are parallels in the means of preventing deleterious impact of PEEP on the lungs, heart, kidney, liver and central nervous system. SUMMARY The quest for optimal PEEP settings has been a prominent goal in ARDS research for the last decades. Intensive care physician must maintain a high degree of vigilance towards hemodynamic effects of PEEP on cardiac function and end-organs circulation.
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Affiliation(s)
- Adrien Joseph
- Medical Intensive Care Unit, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris, Boulogne-Billancourt
| | - Matthieu Petit
- Medical Intensive Care Unit, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris, Boulogne-Billancourt
- Inserm, CESP, Paris-Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Villejuif, France
| | - Antoine Vieillard-Baron
- Medical Intensive Care Unit, Ambroise Paré Hospital, Assistance Publique-Hôpitaux de Paris, Boulogne-Billancourt
- Inserm, CESP, Paris-Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Villejuif, France
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Wong H, Chi Y, Zhang R, Yin C, Jia J, Wang B, Liu Y, Shang Y, Wang R, Long Y, Zhao Z, He H. Multicentre, parallel, open-label, two-arm, randomised controlled trial on the prognosis of electrical impedance tomography-guided versus low PEEP/FiO2 table-guided PEEP setting: a trial protocol. BMJ Open 2024; 14:e080828. [PMID: 38307528 PMCID: PMC10836340 DOI: 10.1136/bmjopen-2023-080828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 01/17/2024] [Indexed: 02/04/2024] Open
Abstract
INTRODUCTION Previous studies suggested that electrical impedance tomography (EIT) has the potential to guide positive end-expiratory pressure (PEEP) titration via quantifying the alveolar collapse and overdistension. The aim of this trial is to compare the effect of EIT-guided PEEP and acute respiratory distress syndrome (ARDS) network low PEEP/fraction of inspired oxygen (FiO2) table strategy on mortality and other clinical outcomes in patients with ARDS. METHODS This is a parallel, two-arm, multicentre, randomised, controlled trial, conducted in China. All patients with ARDS under mechanical ventilation admitted to the intensive care unit will be screened for eligibility. The enrolled patients are stratified by the aetiology (pulmonary/extrapulmonary) and partial pressure of arterial oxygen/FiO2 (≥150 mm Hg or <150 mm Hg) and randomised into the intervention group or the control group. The intervention group will receive recruitment manoeuvre and EIT-guided PEEP titration. The EIT-guided PEEP will be set for at least 12 hours after titration. The control group will not receive recruitment manoeuvre routinely and the PEEP will be set according to the lower PEEP/FiO2 table proposed by the ARDS Network. The primary outcome is 28-day survival. ANALYSIS Qualitative data will be analysed using the χ2 test or Fisher's exact test, quantitative data will be analysed using independent samples t-test or Mann-Whitney U test. Kaplan-Meier analysis with log-rank test will be used to evaluate the 28-day survival rate between two groups. All outcomes will be analysed based on the intention-to-treat principle. ETHICS AND DISSEMINATION The trial is approved by the Institutional Research and Ethics Committee of the Peking Union Medical College Hospital. Data will be published in peer-reviewed journals. TRIAL REGISTRATION NUMBER NCT05307913.
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Affiliation(s)
- HouPeng Wong
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Yi Chi
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Rui Zhang
- Department of Critical Care Medicine, Ruijin Hospital, Shanghai, China
| | | | - Jianwei Jia
- Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China
| | - Bo Wang
- Department of Critical Care Medicine, Sichuan University West China Hospital, Chengdu, Sichuan, China
| | - Yi Liu
- Department of Critical Care Medicine, Chongqing General Hospital, Chongqing, China
| | - You Shang
- Critical Care Medicine, Wuhan Union Hospital, Wuhan, China
| | - Rui Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chao-Yang Hospital Capital Medical University, Beijing, China
| | - Yun Long
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
| | - Zhanqi Zhao
- School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China
| | - Huaiwu He
- Department of Critical Care Medicine, Peking Union Medical College Hospital, Beijing, China
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Mojoli F, Pozzi M, Arisi E. Setting positive end-expiratory pressure: using the pressure-volume curve. Curr Opin Crit Care 2024; 30:35-42. [PMID: 38085871 DOI: 10.1097/mcc.0000000000001127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024]
Abstract
PURPOSE OF REVIEW To discuss the role of pressure-volume curve (PV curve) in exploring elastic properties of the respiratory system and setting mechanical ventilator to reduce ventilator-induced lung injury. RECENT FINDINGS Nowadays, quasi-static PV curves and loops can be easily obtained and analyzed at the bedside without disconnection of the patient from the ventilator. It is shown that this tool can provide useful information to optimize ventilator setting. For example, PV curves can assess for patient's individual potential for lung recruitability and also evaluate the risk for lung injury of the ongoing mechanical ventilation setting. SUMMARY In conclusion, PV curve is an easily available bedside tool: its correct interpretation can be extremely valuable to enlighten potential for lung recruitability and select a high or low positive end-expiratory pressure (PEEP) strategy. Furthermore, recent studies have shown that PV curve can play a significant role in PEEP and driving pressure fine tuning: clinical studies are needed to prove whether this technique will improve outcome.
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Affiliation(s)
- Francesco Mojoli
- Department of Clinical-Surgical, Diagnostic and Pediatric Sciences, Unit of Anesthesia and Intensive Care, University of Pavia, Pavia, Italy
- Anesthesia and Intensive Care, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy
| | - Marco Pozzi
- Anesthesia and Intensive Care, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy
| | - Eric Arisi
- Anesthesia and Intensive Care, Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy
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7
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Liu Y, Cai X, Fang R, Peng S, Luo W, Du X. Future directions in ventilator-induced lung injury associated cognitive impairment: a new sight. Front Physiol 2023; 14:1308252. [PMID: 38164198 PMCID: PMC10757930 DOI: 10.3389/fphys.2023.1308252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 12/08/2023] [Indexed: 01/03/2024] Open
Abstract
Mechanical ventilation is a widely used short-term life support technique, but an accompanying adverse consequence can be pulmonary damage which is called ventilator-induced lung injury (VILI). Mechanical ventilation can potentially affect the central nervous system and lead to long-term cognitive impairment. In recent years, many studies revealed that VILI, as a common lung injury, may be involved in the central pathogenesis of cognitive impairment by inducing hypoxia, inflammation, and changes in neural pathways. In addition, VILI has received attention in affecting the treatment of cognitive impairment and provides new insights into individualized therapy. The combination of lung protective ventilation and drug therapy can overcome the inevitable problems of poor prognosis from a new perspective. In this review, we summarized VILI and non-VILI factors as risk factors for cognitive impairment and concluded the latest mechanisms. Moreover, we retrospectively explored the role of improving VILI in cognitive impairment treatment. This work contributes to a better understanding of the pathogenesis of VILI-induced cognitive impairment and may provide future direction for the treatment and prognosis of cognitive impairment.
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Affiliation(s)
- Yinuo Liu
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- The Clinical Medical College of Nanchang University, Nanchang, China
| | - Xintong Cai
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- The Clinical Medical College of Nanchang University, Nanchang, China
| | - Ruiying Fang
- The Clinical Medical College of Nanchang University, Nanchang, China
| | - Shengliang Peng
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Wei Luo
- Department of Sports Medicine, Huashan Hospital, Fudan University, Shanghai, China
| | - Xiaohong Du
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China
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8
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Chen H, Chen ZZ, Gong SR, Yu RG. Visualizing the dynamic mechanical power and time burden of mechanical ventilation patients: an analysis of the MIMIC-IV database. J Intensive Care 2023; 11:58. [PMID: 38031184 PMCID: PMC10685677 DOI: 10.1186/s40560-023-00709-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Accepted: 11/23/2023] [Indexed: 12/01/2023] Open
Abstract
BACKGROUND Limiting driving pressure and mechanical power is associated with reduced mortality risk in both patients with and without acute respiratory distress syndrome. However, it is still poorly understood how the intensity of mechanical ventilation and its corresponding duration impact the risk of mortality. METHODS Critically ill patients who received mechanical ventilation were identified from the Medical Information Mart for Intensive Care (MIMIC)-IV database. A visualization method was developed by calculating the odds ratio of survival for all combinations of ventilation duration and intensity to assess the relationship between the intensity and duration of mechanical ventilation and the mortality risk. RESULTS A total of 6251 patients were included. The color-coded plot demonstrates the intuitive concept that episodes of higher dynamic mechanical power can only be tolerated for shorter durations. The three fitting contour lines represent 0%, 10%, and 20% increments in the mortality risk, respectively, and exhibit an exponential pattern: higher dynamic mechanical power is associated with an increased mortality risk with shorter exposure durations. CONCLUSIONS Cumulative exposure to higher intensities and/or longer duration of mechanical ventilation is associated with worse outcomes. Considering both the intensity and duration of mechanical ventilation may help evaluate patient outcomes and guide adjustments in mechanical ventilation to minimize harmful exposure.
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Affiliation(s)
- Han Chen
- The Third Department of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Dongjie 134, Gulou District, Fuzhou, Fujian, China
| | - Zhi-Zhong Chen
- General Product Center, Fujian Foxit Software Development, Joint Stock Co. Ltd., Building 5, Area G, Fuzhou Software Park, No. 89 Software Avenue, Gulou District, Fuzhou, Fujian, China
| | - Shu-Rong Gong
- The Third Department of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Dongjie 134, Gulou District, Fuzhou, Fujian, China
| | - Rong-Guo Yu
- The Third Department of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian Provincial Center for Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Dongjie 134, Gulou District, Fuzhou, Fujian, China.
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9
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Seto F, Kawamura G, Hosoki K, Ushio M, Jo T, Uchida K. Secondary analysis of preoperative predictors for acute postoperative exacerbation in interstitial lung disease. Sci Rep 2023; 13:13955. [PMID: 37626100 PMCID: PMC10457368 DOI: 10.1038/s41598-023-41152-y] [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: 02/01/2023] [Accepted: 08/22/2023] [Indexed: 08/27/2023] Open
Abstract
This study assessed whether perioperative management is associated with postoperative acute exacerbations (AEs) in interstitial lung disease (ILD) patients. Using secondary data from the study "Postoperative acute exacerbation of interstitial lung disease: a case-control study," we compared the perioperative clinical management of the AE and non-AE groups (1:4 case-control matching) selected by sex, year of surgery (2009-2011, 2012-2014, and 2015-2017), and multiple surgeries within 30 days. We compared 27 and 108 patients with and without AEs, respectively. Rates of one lung ventilation (OLV) cases (70 vs. 29%; OR, 5.9; 95%CI, 2.34-14.88; p < 0.001) and intraoperative steroid administration (48 vs. 26%; OR, 2.65; 95%CI, 1.11-6.33; p = 0.028), and average mean inspiratory pressure (9.2 [1.8] vs. 8.3 [1.7] cmH2O; OR, 1.36; 95%CI, 1.04-1.79; p = 0.026), were significantly higher in the AE group. There was a significant difference in OLV between the groups (OR, 4.99; 95%CI, 1.90-13.06; p = 0.001). However, the fraction of inspired oxygen > 0.8 lasting > 1 min (63 vs. 73%, p = 0.296) was not significantly different between the groups. OLV was significantly associated with postoperative AEs in patients with ILD undergoing both pulmonary and non-pulmonary surgeries. Thus, preoperative risk considerations are more important in patients who require OLV.
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Affiliation(s)
- Fumiko Seto
- Department of Anesthesiology, Faculty of Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Gaku Kawamura
- Department of Anesthesiology, Faculty of Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Keisuke Hosoki
- Department of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Michiko Ushio
- Department of Anesthesiology, Faculty of Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Taisuke Jo
- Department of Respiratory Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Health Services Research, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kanji Uchida
- Department of Anesthesiology, Faculty of Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan
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10
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Grotberg JC, Reynolds D, Kraft BD. Management of severe acute respiratory distress syndrome: a primer. Crit Care 2023; 27:289. [PMID: 37464381 DOI: 10.1186/s13054-023-04572-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 07/10/2023] [Indexed: 07/20/2023] Open
Abstract
This narrative review explores the physiology and evidence-based management of patients with severe acute respiratory distress syndrome (ARDS) and refractory hypoxemia, with a focus on mechanical ventilation, adjunctive therapies, and veno-venous extracorporeal membrane oxygenation (V-V ECMO). Severe ARDS cases increased dramatically worldwide during the Covid-19 pandemic and carry a high mortality. The mainstay of treatment to improve survival and ventilator-free days is proning, conservative fluid management, and lung protective ventilation. Ventilator settings should be individualized when possible to improve patient-ventilator synchrony and reduce ventilator-induced lung injury (VILI). Positive end-expiratory pressure can be individualized by titrating to best respiratory system compliance, or by using advanced methods, such as electrical impedance tomography or esophageal manometry. Adjustments to mitigate high driving pressure and mechanical power, two possible drivers of VILI, may be further beneficial. In patients with refractory hypoxemia, salvage modes of ventilation such as high frequency oscillatory ventilation and airway pressure release ventilation are additional options that may be appropriate in select patients. Adjunctive therapies also may be applied judiciously, such as recruitment maneuvers, inhaled pulmonary vasodilators, neuromuscular blockers, or glucocorticoids, and may improve oxygenation, but do not clearly reduce mortality. In select, refractory cases, the addition of V-V ECMO improves gas exchange and modestly improves survival by allowing for lung rest. In addition to VILI, patients with severe ARDS are at risk for complications including acute cor pulmonale, physical debility, and neurocognitive deficits. Even among the most severe cases, ARDS is a heterogeneous disease, and future studies are needed to identify ARDS subgroups to individualize therapies and advance care.
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Affiliation(s)
- John C Grotberg
- Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA.
| | - Daniel Reynolds
- Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA
| | - Bryan D Kraft
- Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine, 660 S. Euclid Ave, St. Louis, MO, 63110, USA
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11
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Grasselli G, Calfee CS, Camporota L, Poole D, Amato MBP, Antonelli M, Arabi YM, Baroncelli F, Beitler JR, Bellani G, Bellingan G, Blackwood B, Bos LDJ, Brochard L, Brodie D, Burns KEA, Combes A, D'Arrigo S, De Backer D, Demoule A, Einav S, Fan E, Ferguson ND, Frat JP, Gattinoni L, Guérin C, Herridge MS, Hodgson C, Hough CL, Jaber S, Juffermans NP, Karagiannidis C, Kesecioglu J, Kwizera A, Laffey JG, Mancebo J, Matthay MA, McAuley DF, Mercat A, Meyer NJ, Moss M, Munshi L, Myatra SN, Ng Gong M, Papazian L, Patel BK, Pellegrini M, Perner A, Pesenti A, Piquilloud L, Qiu H, Ranieri MV, Riviello E, Slutsky AS, Stapleton RD, Summers C, Thompson TB, Valente Barbas CS, Villar J, Ware LB, Weiss B, Zampieri FG, Azoulay E, Cecconi M. ESICM guidelines on acute respiratory distress syndrome: definition, phenotyping and respiratory support strategies. Intensive Care Med 2023; 49:727-759. [PMID: 37326646 PMCID: PMC10354163 DOI: 10.1007/s00134-023-07050-7] [Citation(s) in RCA: 229] [Impact Index Per Article: 229.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/24/2023] [Indexed: 06/17/2023]
Abstract
The aim of these guidelines is to update the 2017 clinical practice guideline (CPG) of the European Society of Intensive Care Medicine (ESICM). The scope of this CPG is limited to adult patients and to non-pharmacological respiratory support strategies across different aspects of acute respiratory distress syndrome (ARDS), including ARDS due to coronavirus disease 2019 (COVID-19). These guidelines were formulated by an international panel of clinical experts, one methodologist and patients' representatives on behalf of the ESICM. The review was conducted in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement recommendations. We followed the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach to assess the certainty of evidence and grade recommendations and the quality of reporting of each study based on the EQUATOR (Enhancing the QUAlity and Transparency Of health Research) network guidelines. The CPG addressed 21 questions and formulates 21 recommendations on the following domains: (1) definition; (2) phenotyping, and respiratory support strategies including (3) high-flow nasal cannula oxygen (HFNO); (4) non-invasive ventilation (NIV); (5) tidal volume setting; (6) positive end-expiratory pressure (PEEP) and recruitment maneuvers (RM); (7) prone positioning; (8) neuromuscular blockade, and (9) extracorporeal life support (ECLS). In addition, the CPG includes expert opinion on clinical practice and identifies the areas of future research.
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Affiliation(s)
- Giacomo Grasselli
- Department of Anesthesia, Critical Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
| | - Carolyn S Calfee
- Division of Pulmonary, Critical Care, Allergy and Sleep Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Luigi Camporota
- Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK
- Centre for Human and Applied Physiological Sciences, King's College London, London, UK
| | - Daniele Poole
- Operative Unit of Anesthesia and Intensive Care, S. Martino Hospital, Belluno, Italy
| | | | - Massimo Antonelli
- Department of Anesthesiology Intensive Care and Emergency Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Università Cattolica del Sacro Cuore, Rome, Italy
| | - Yaseen M Arabi
- Intensive Care Department, Ministry of the National Guard - Health Affairs, Riyadh, Kingdom of Saudi Arabia
- King Saud bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Kingdom of Saudi Arabia
| | - Francesca Baroncelli
- Department of Anesthesia and Intensive Care, San Giovanni Bosco Hospital, Torino, Italy
| | - Jeremy R Beitler
- Center for Acute Respiratory Failure and Division of Pulmonary, Allergy and Critical Care Medicine, Columbia University, New York, NY, USA
| | - Giacomo Bellani
- Centre for Medical Sciences - CISMed, University of Trento, Trento, Italy
- Department of Anesthesia and Intensive Care, Santa Chiara Hospital, APSS Trento, Trento, Italy
| | - Geoff Bellingan
- Intensive Care Medicine, University College London, NIHR University College London Hospitals Biomedical Research Centre, London, UK
| | - Bronagh Blackwood
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
| | - Lieuwe D J Bos
- Intensive Care, Amsterdam UMC, Location AMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Laurent Brochard
- Keenan Research Center, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Daniel Brodie
- Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Karen E A Burns
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
- Department of Medicine, Division of Critical Care, Unity Health Toronto - Saint Michael's Hospital, Toronto, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada
- Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Canada
| | - Alain Combes
- Sorbonne Université, INSERM, UMRS_1166-ICAN, Institute of Cardiometabolism and Nutrition, F-75013, Paris, France
- Service de Médecine Intensive-Réanimation, Institut de Cardiologie, APHP Sorbonne Université Hôpital Pitié-Salpêtrière, F-75013, Paris, France
| | - Sonia D'Arrigo
- Department of Anesthesiology Intensive Care and Emergency Medicine, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Daniel De Backer
- Department of Intensive Care, CHIREC Hospitals, Université Libre de Bruxelles, Brussels, Belgium
| | - Alexandre Demoule
- Sorbonne Université, INSERM, UMRS1158 Neurophysiologie Respiratoire Expérimentale et Clinique, Paris, France
- AP-HP, Groupe Hospitalier Universitaire APHP-Sorbonne Université, site Pitié-Salpêtrière, Service de Médecine Intensive - Réanimation (Département R3S), Paris, France
| | - Sharon Einav
- Shaare Zedek Medical Center and Hebrew University Faculty of Medicine, Jerusalem, Israel
| | - Eddy Fan
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Niall D Ferguson
- Department of Medicine, Division of Respirology and Critical Care, Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
- Departments of Medicine and Physiology, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Jean-Pierre Frat
- CHU De Poitiers, Médecine Intensive Réanimation, Poitiers, France
- INSERM, CIC-1402, IS-ALIVE, Université de Poitiers, Faculté de Médecine et de Pharmacie, Poitiers, France
| | - Luciano Gattinoni
- Department of Anesthesiology, University Medical Center Göttingen, Göttingen, Germany
| | - Claude Guérin
- University of Lyon, Lyon, France
- Institut Mondor de Recherches Biomédicales, INSERM 955 CNRS 7200, Créteil, France
| | - Margaret S Herridge
- Critical Care and Respiratory Medicine, University Health Network, Toronto General Research Institute, Institute of Medical Sciences, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
| | - Carol Hodgson
- The Australian and New Zealand Intensive Care Research Center, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Department of Intensive Care, Alfred Health, Melbourne, Australia
| | - Catherine L Hough
- Division of Pulmonary, Allergy and Critical Care Medicine, Oregon Health and Science University, Portland, OR, USA
| | - Samir Jaber
- Anesthesia and Critical Care Department (DAR-B), Saint Eloi Teaching Hospital, University of Montpellier, Research Unit: PhyMedExp, INSERM U-1046, CNRS, 34295, Montpellier, France
| | - Nicole P Juffermans
- Laboratory of Translational Intensive Care, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Christian Karagiannidis
- Department of Pneumology and Critical Care Medicine, Cologne-Merheim Hospital, ARDS and ECMO Centre, Kliniken Der Stadt Köln gGmbH, Witten/Herdecke University Hospital, Cologne, Germany
| | - Jozef Kesecioglu
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Arthur Kwizera
- Makerere University College of Health Sciences, School of Medicine, Department of Anesthesia and Intensive Care, Kampala, Uganda
| | - John G Laffey
- Anesthesia and Intensive Care Medicine, School of Medicine, College of Medicine Nursing and Health Sciences, University of Galway, Galway, Ireland
- Anesthesia and Intensive Care Medicine, Galway University Hospitals, Saolta University Hospitals Groups, Galway, Ireland
| | - Jordi Mancebo
- Intensive Care Department, Hospital Universitari de La Santa Creu I Sant Pau, Barcelona, Spain
| | - Michael A Matthay
- Departments of Medicine and Anesthesia, Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA
| | - Daniel F McAuley
- Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK
- Regional Intensive Care Unit, Royal Victoria Hospital, Belfast Health and Social Care Trust, Belfast, UK
| | - Alain Mercat
- Département de Médecine Intensive Réanimation, CHU d'Angers, Université d'Angers, Angers, France
| | - Nuala J Meyer
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA
| | - Marc Moss
- Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, School of Medicine, Aurora, CO, USA
| | - Laveena Munshi
- Interdepartmental Division of Critical Care Medicine, Sinai Health System, University of Toronto, Toronto, Canada
| | - Sheila N Myatra
- Department of Anesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Michelle Ng Gong
- Division of Pulmonary and Critical Care Medicine, Montefiore Medical Center, Bronx, New York, NY, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, USA
| | - Laurent Papazian
- Bastia General Hospital Intensive Care Unit, Bastia, France
- Aix-Marseille University, Faculté de Médecine, Marseille, France
| | - Bhakti K Patel
- Section of Pulmonary and Critical Care, Department of Medicine, University of Chicago, Chicago, IL, USA
| | - Mariangela Pellegrini
- Anesthesia and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Anders Perner
- Department of Intensive Care, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Antonio Pesenti
- Department of Anesthesia, Critical Care and Emergency, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Lise Piquilloud
- Adult Intensive Care Unit, University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Haibo Qiu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Marco V Ranieri
- Alma Mater Studiorum - Università di Bologna, Bologna, Italy
- Anesthesia and Intensive Care Medicine, IRCCS Policlinico di Sant'Orsola, Bologna, Italy
| | - Elisabeth Riviello
- Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Arthur S Slutsky
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada
| | - Renee D Stapleton
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - Charlotte Summers
- Department of Medicine, University of Cambridge Medical School, Cambridge, UK
| | - Taylor B Thompson
- Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Carmen S Valente Barbas
- University of São Paulo Medical School, São Paulo, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Jesús Villar
- Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Canada
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Research Unit, Hospital Universitario Dr. Negrin, Las Palmas de Gran Canaria, Spain
| | - Lorraine B Ware
- Departments of Medicine and Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Björn Weiss
- Department of Anesthesiology and Intensive Care Medicine (CCM CVK), Charitè - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Fernando G Zampieri
- Academic Research Organization, Albert Einstein Hospital, São Paulo, Brazil
- Department of Critical Care Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Elie Azoulay
- Médecine Intensive et Réanimation, APHP, Hôpital Saint-Louis, Paris Cité University, Paris, France
| | - Maurizio Cecconi
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Department of Anesthesia and Intensive Care Medicine, IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
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12
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Singh SJ, Fonseca AJ, Rajyaguru S. Evaluation of adherence with lung-protective ventilator strategies in moderate-to-severe acute respiratory distress syndrome in a tertiary care setup in India: A prospective observational study. Int J Crit Illn Inj Sci 2023; 13:60-65. [PMID: 37547188 PMCID: PMC10401554 DOI: 10.4103/ijciis.ijciis_66_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 01/30/2023] [Accepted: 02/10/2023] [Indexed: 08/08/2023] Open
Abstract
Background Evaluation of the efficacy and safety of mechanical ventilation settings is a cornerstone of the early phase of the management of acute respiratory distress syndrome (ARDS). This study aimed to evaluate the adherence to currently recommended lung-protective ventilator strategies (tidal volume, plateau pressure, driving pressure, prone positioning, and positive end-expiratory pressure [PEEP]) for adults with moderate-to-severe ARDS in a tertiary care setup, thereby evaluating if lung-protective ventilation is associated with improved outcomes. Methods This was an observational study over 1 year in ventilated moderate-to-severe ARDS participants. All participants were mechanically ventilated when required using the protocol followed by the ARDS Network low-tidal volume lung-protective ventilation strategy and monitored. Results The total number of participants in the study was 32. Septic shock was the most common cause of ARDS. The mean duration of intensive care unit (ICU) stay was 6.13 (±5.4) days, mean ventilator days were 3.66 (±3.75) days and mortality rate of 71.8%.Adherence to low-tidal volume was 78.12% with an improvement of 36% in the adherent group (P = 0.06). Adherence to high PEEP was 34.38% with a survival of 73% in the adherent group (P = 0.0004). Adherence to prone ventilation was 18.75% with a survival of 33% in the adherent group (P = 0.7). Conclusion Intensivists should take an extra effort to focus on evidence-based ventilator strategies and increase adherence to these recommendations in their ICUs to improve patient survival.
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Affiliation(s)
- Simran J. Singh
- Department of Critical Care, P. D. Hinduja Hospital and Medical Research Center, Mumbai, Maharashtra, India
| | - Alex Jude Fonseca
- Department of Critical Care, P. D. Hinduja Hospital and Medical Research Center, Mumbai, Maharashtra, India
| | - Spandan Rajyaguru
- Department of Critical Care, P. D. Hinduja Hospital and Medical Research Center, Mumbai, Maharashtra, India
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13
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Chen H, Sun Q, Chao Y, Liu Y, Yu Q, Xie J, Pan C, Liu L, Yang Y, Qiu H. Lung morphology impacts the association between ventilatory variables and mortality in patients with acute respiratory distress syndrome. Crit Care 2023; 27:59. [PMID: 36782256 PMCID: PMC9926837 DOI: 10.1186/s13054-023-04350-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/07/2023] [Indexed: 02/15/2023] Open
Abstract
BACKGROUND Acute respiratory distress syndrome (ARDS) patients with different lung morphology have distinct pulmonary mechanical dysfunction and outcomes. Whether lung morphology impacts the association between ventilatory variables and mortality remains unclear. Moreover, the impact of a novel combined ventilator variable [(4×DP) + RR] on morality in ARDS patients needs external validation. METHODS We obtained data from the Chinese Database in Intensive Care (CDIC), which included adult ARDS patients who received invasive mechanical ventilation for at least 24 h. Patients were further classified into two groups based on lung morphology (focal and non-focal). Ventilatory variables were collected longitudinally within the first four days of ventilation. The primary outcome was 28-day mortality. Extended Cox regression models were employed to explore the interaction between lung morphology and longitudinal ventilatory variables on mortality. FINDINGS We included 396 ARDS patients with different lung morphology (64.1% non-focal). The overall 28-day mortality was 34.4%. Patients with non-focal lung morphology have more severe and persistent pulmonary mechanical dysfunction and higher mortality than those with focal lung morphology. Time-varying driving pressure (DP) was more significantly associated with 28-day mortality in patients with non-focal lung morphology compared to focal lung morphology patients (P for interaction = 0.0039). The impact of DP on mortality was more significant than that of respiratory rate (RR) only in patients with non-focal lung morphology. The hazard ratio (HR) of mortality for [(4×DP) + RR] was significant in patients with non-focal lung morphology (HR 1.036, 95% CI 1.027-1.045), not in patients with focal lung morphology (HR 1.019, 95% CI 0.999-1.039). INTERPRETATION The association between ventilator variables and mortality varied among patients with different lung morphology. [(4×DP) + RR] was only associated with mortality in patients with non-focal lung morphology. Further validation is needed.
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Affiliation(s)
- Hui Chen
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China ,grid.429222.d0000 0004 1798 0228Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Soochow University, No. 899 Pinghai Road, Suzhou, 215000 People’s Republic of China
| | - Qin Sun
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Yali Chao
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China ,grid.413389.40000 0004 1758 1622Department of Intensive Care Unit, Affiliated Hospital of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, 221003 People’s Republic of China
| | - Yue Liu
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Qian Yu
- grid.263826.b0000 0004 1761 0489Department of Radiology, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Jianfeng Xie
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Chun Pan
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
| | - Ling Liu
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
| | - Yi Yang
- Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009, People's Republic of China.
| | - Haibo Qiu
- grid.263826.b0000 0004 1761 0489Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, No. 87, Dingjiaqiao Road, Gulou District, Nanjing, 210009 People’s Republic of China
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Friedrich JO, Harhay MO, Angus DC, Burns KEA, Cook DJ, Fergusson DA, Finfer S, Hébert P, Rowan K, Rubenfeld G, Marshall JC. Mortality As a Measure of Treatment Effect in Clinical Trials Recruiting Critically Ill Patients. Crit Care Med 2023; 51:222-230. [PMID: 36661450 DOI: 10.1097/ccm.0000000000005721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVES All-cause mortality is a common measure of treatment effect in ICU-based randomized clinical trials (RCTs). We sought to understand the performance characteristics of a mortality endpoint by evaluating its temporal course, responsiveness to differential treatment effects, and impact when used as an outcome measure in trials of acute illness. DATA SOURCES We searched OVID Medline for RCTs published from 1990 to 2018. STUDY SELECTION We reviewed RCTs that had randomized greater than or equal to 100 patients, were published in one of five high-impact general medical or eight critical care journals, and reported mortality at two or more distinct time points. We excluded trials recruiting pediatric or neonatal patients and cluster RCTs. DATA EXTRACTION Mortality by randomization group was recorded from the article or estimated from survival curves. Trial impact was assessed by inclusion of results in clinical practice guidelines. DATA SYNTHESIS From 2,592 potentially eligible trials, we included 343 RCTs (228,784 adult patients). While one third of all deaths by 180 days had occurred by day 7, the risk difference between study arms continued to increase until day 60 (p = 0.01) and possibly day 90 (p = 0.07) and remained stable thereafter. The number of deaths at ICU discharge approximated those at 28-30 days (95% [interquartile range [IQR], 86-106%]), and deaths at hospital discharge approximated those at 60 days (99% [IQR, 94-104%]). Only 13 of 43 interventions (30.2%) showing a mortality benefit have been adopted into widespread clinical practice. CONCLUSIONS Our findings provide a conceptual framework for choosing a time horizon and interpreting mortality outcome in trials of acute illness. Differential mortality effects persist for 60 to 90 days following recruitment. Location-based measures approximate time-based measures for trials conducted outside the United States. The documentation of a mortality reduction has had a modest impact on practice.
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Affiliation(s)
- Jan O Friedrich
- Department of Critical Care Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | - Michael O Harhay
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Derek C Angus
- CRISMA Centre, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Karen E A Burns
- Department of Critical Care Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
| | | | | | | | - Paul Hébert
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada
| | - Kathy Rowan
- The Intensive Care National Audit and Resource Centre (ICNARC), London, United Kingdom
| | - Gordon Rubenfeld
- Department of Critical Care Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - John C Marshall
- Department of Critical Care Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
- Department of Surgery, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada
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Blanchard F, James A, Assefi M, Kapandji N, Constantin JM. Personalized medicine targeting different ARDS phenotypes: The future of pharmacotherapy for ARDS? Expert Rev Respir Med 2023; 17:41-52. [PMID: 36724878 DOI: 10.1080/17476348.2023.2176302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Acute respiratory distress syndrome (ARDS) still represents a major challenge with high mortality rates and altered quality of life. Many well-designed studies have failed to improve ARDS outcomes. Heterogeneity of etiologies, mechanisms of lung damage, different lung mechanics, and different treatment approaches may explain these failures. At the era of personalized medicine, ARDS phenotyping is not only a field of research, but a bedside consideration when implementing therapy. ARDS has moved from being a simple syndrome to a more complex area of subgrouping. Intensivists must understand these phenotypes and therapies associated with a better outcome. AREAS COVERED After a brief sum-up of the different type of ARDS phenotypes, we will present some relevant therapy that may be impacted by phenotyping. A focus on pharmacotherapy will be realized before a section on non-pharmaceutical strategies. Eventually, we will highlight the limits of our knowledge of phenotyping and the pitfalls of personalized medicine. EXPERT OPINION Biological and morphological ARDS phenotypes are now well studied. The future of ARDS therapy will go through phenotyping that allows a personalized medication for each patient. However, a better assessment of these phenotypes is required, and clinical trials should be conducted with an ad-hoc phenotyping before randomization.
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Affiliation(s)
- Florian Blanchard
- Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France.,Antimicrobial Stewardship Team GH Paris Centre, Cochin Hospital, APHP, Paris, France
| | - Arthur James
- Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France
| | - Mona Assefi
- Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France
| | - Natacha Kapandji
- Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France
| | - Jean-Michel Constantin
- Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France
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Sadana D, Kaur S, Sankaramangalam K, Saini I, Banerjee K, Siuba M, Amaral V, Gadre S, Torbic H, Krishnan S, Duggal A. Mortality associated with acute respiratory distress syndrome, 2009-2019: a systematic review and meta-analysis. CRIT CARE RESUSC 2022; 24:341-351. [PMID: 38047005 PMCID: PMC10692616 DOI: 10.51893/2022.4.oa4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Background: Acute respiratory distress syndrome (ARDS) occurs commonly in intensive care units. The reported mortality rates in studies evaluating ARDS are highly variable. Objective: To investigate mortality rates due to ARDS from before the 2009 H1N1 influenza pandemic began until the start of coronavirus disease 2019 (COVID-19) pandemic. Design: We performed a systematic search and then ran a proportional meta-analysis for mortality. We ran our analysis in three ways: for randomised controlled trials only, for observational studies only, and for randomised controlled trials and observational studies combined. Data sources: MEDLINE and Embase, using a highly sensitive criterion and limiting the search to studies published from January 2009 to December 2019. Review methods: Two of us independently screened titles and abstracts to first identify studies and then complete full text reviews of selected studies. We assessed risk of bias using the Cochrane RoB-2 (a risk-of-bias tool for randomised trials) and the Cochrane ROBINS-1 (a risk-of-bias tool for non-randomised studies of interventions). Results: We screened 5844 citations, of which 102 fully met our inclusion criteria. These included 34 randomised controlled trials and 68 observational studies, with a total of 24 158 patients. The weighted pooled mortality rate for all 102 studies published from 2009 to 2019 was 39.4% (95% CI, 37.0-41.8%). Mortality was higher in observational studies compared with randomised controlled trials (41.8% [95% CI, 38.9-44.8%] v 34.5% [95% CI, 30.6-38.5%]; P = 0.005). Conclusions: Over the past decade, mortality rates due to ARDS were high. There is a clear distinction between mortality in observational studies and in randomised controlled trials. Future studies need to report mortality for different ARDS phenotypes and closely adhere to evidence-based medicine. PROSPERO registration: CRD42020149712 (April 2020).
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Affiliation(s)
- Divyajot Sadana
- Department of Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, (OH), USA
| | - Simrat Kaur
- Department of Internal Medicine, Medicine Institute, Cleveland Clinic, Cleveland, (OH), USA
| | - Kesavan Sankaramangalam
- Department of Internal Medicine, Saint Peter’s University Hospital/Rutgers Robert Wood Johnson Medical School, New Brunswick, (NJ), USA
| | - Ishan Saini
- Windsor University School of Medicine, Cayon, Saint Kitts and Nevis, West Indies
| | - Kinjal Banerjee
- Department of Internal Medicine, Geisinger Medical Center, Danville, (PA), USA
| | - Matthew Siuba
- Department of Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, (OH), USA
| | - Valentina Amaral
- Department of Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, (OH), USA
| | - Shruti Gadre
- Department of Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, (OH), USA
| | - Heather Torbic
- Department of Pharmacy, Cleveland Clinic, Cleveland, (OH), USA
| | - Sudhir Krishnan
- Department of Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, (OH), USA
| | - Abhijit Duggal
- Department of Critical Care Medicine, Respiratory Institute, Cleveland Clinic, Cleveland, (OH), USA
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17
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Morita Y, Williams B, Yamada Y, Kariya T. Effect of Anesthesia Machine Ventilator and ICU Ventilator on Intraoperative Oxygenation and Ventilation. J Cardiothorac Vasc Anesth 2022; 36:3175-3186. [PMID: 35624038 DOI: 10.1053/j.jvca.2022.03.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/21/2022] [Accepted: 03/17/2022] [Indexed: 11/11/2022]
Affiliation(s)
- Yoshihisa Morita
- Department of Anesthesiology, University of Maryland, Baltimore, MD.
| | | | - Yoshitsugu Yamada
- Department of Anesthesiology, International University of Health and Welfare, Mita Hospital, Tokyo, Japan
| | - Taro Kariya
- Department of Anesthesiology, University of Tokyo, Tokyo, Japan
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18
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Hu W, Zhang S, He Z, Zhou Y, Wang Z, Zhang Y, Zang B, Zhao W, Chao Y. Impact of Time-Varying Intensity of Mechanical Ventilation on 28-Day Mortality Depends on Fluid Balance in Patients With Acute Respiratory Distress Syndrome: A Retrospective Cohort Study. Front Med (Lausanne) 2022; 9:906903. [PMID: 35966840 PMCID: PMC9366012 DOI: 10.3389/fmed.2022.906903] [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: 03/29/2022] [Accepted: 05/26/2022] [Indexed: 11/30/2022] Open
Abstract
Background Recent studies have mainly focused on the association between baseline intensity of mechanical ventilation (driving pressure or mechanical power) and mortality in acute respiratory distress syndrome (ARDS). It is unclear whether the association between the time-varying intensity of mechanical ventilation and mortality is significant and varies according to the fluid balance trajectories. Methods We conducted a secondary analysis based on the NHLBI ARDS Network’s Fluid and Catheter Treatment Trial (FACTT). The primary outcome was 28-day mortality. The group-based trajectory modeling (GBTM) was employed to identify phenotypes based on fluid balance trajectories. Bayesian joint models were used to account for informative censoring due to death during follow-up. Results A total of 1,000 patients with ARDS were included in the analysis. Our study identified two phenotypes of ARDS, and compared patients with Early Negative Fluid Balance (Early NFB) and patients with Persistent-Positive Fluid Balance (Persistent-PFB) accompanied by higher tidal volume, higher static driving pressure, higher mechanical power, and lower PaO2/FiO2, over time during mechanical ventilation. The 28-day mortality was 14.8% in Early NFB and 49.6% in Persistent-PFB (p < 0.001). In the Bayesian joint models, the hazard ratio (HR) of 28-day death for time-varying static driving pressure [HR 1.03 (95% CI 1.01–1.05; p < 0.001)] and mechanical power [HR 1.01 (95% CI 1.002–1.02; p = 0.01)] was significant in patients with Early NFB, but not in patients with Persistent-PFB. Conclusion Time-varying intensity of mechanical ventilation was associated with a 28-day mortality of ARDS in a patient with Early NFB but not in patients with Persistent-PFB.
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Affiliation(s)
- Weiwei Hu
- Department of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Suming Zhang
- Department of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Zhengyu He
- Department of Critical Care Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yang Zhou
- Department of Critical Care Medicine, School of Medicine, Ren Ji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Ziwen Wang
- Department of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yang Zhang
- Department of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Baohe Zang
- Department of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Wenjing Zhao
- Department of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yali Chao
- Department of Critical Care Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
- *Correspondence: Yali Chao,
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19
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Yamamoto R, Sugimura S, Kikuyama K, Takayama C, Fujimoto J, Yamashita K, Norisue Y, Narita C. Efficacy of Higher Positive End-Expiratory Pressure Ventilation Strategy in Patients With Acute Respiratory Distress Syndrome: A Systematic Review and Meta-Analysis. Cureus 2022; 14:e26957. [PMID: 35989808 PMCID: PMC9382348 DOI: 10.7759/cureus.26957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2022] [Indexed: 12/16/2022] Open
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20
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Tasaka S, Ohshimo S, Takeuchi M, Yasuda H, Ichikado K, Tsushima K, Egi M, Hashimoto S, Shime N, Saito O, Matsumoto S, Nango E, Okada Y, Hayashi K, Sakuraya M, Nakajima M, Okamori S, Miura S, Fukuda T, Ishihara T, Kamo T, Yatabe T, Norisue Y, Aoki Y, Iizuka Y, Kondo Y, Narita C, Kawakami D, Okano H, Takeshita J, Anan K, Okazaki SR, Taito S, Hayashi T, Mayumi T, Terayama T, Kubota Y, Abe Y, Iwasaki Y, Kishihara Y, Kataoka J, Nishimura T, Yonekura H, Ando K, Yoshida T, Masuyama T, Sanui M. ARDS Clinical Practice Guideline 2021. J Intensive Care 2022; 10:32. [PMID: 35799288 PMCID: PMC9263056 DOI: 10.1186/s40560-022-00615-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 05/10/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The joint committee of the Japanese Society of Intensive Care Medicine/Japanese Respiratory Society/Japanese Society of Respiratory Care Medicine on ARDS Clinical Practice Guideline has created and released the ARDS Clinical Practice Guideline 2021. METHODS The 2016 edition of the Clinical Practice Guideline covered clinical questions (CQs) that targeted only adults, but the present guideline includes 15 CQs for children in addition to 46 CQs for adults. As with the previous edition, we used a systematic review method with the Grading of Recommendations Assessment Development and Evaluation (GRADE) system as well as a degree of recommendation determination method. We also conducted systematic reviews that used meta-analyses of diagnostic accuracy and network meta-analyses as a new method. RESULTS Recommendations for adult patients with ARDS are described: we suggest against using serum C-reactive protein and procalcitonin levels to identify bacterial pneumonia as the underlying disease (GRADE 2D); we recommend limiting tidal volume to 4-8 mL/kg for mechanical ventilation (GRADE 1D); we recommend against managements targeting an excessively low SpO2 (PaO2) (GRADE 2D); we suggest against using transpulmonary pressure as a routine basis in positive end-expiratory pressure settings (GRADE 2B); we suggest implementing extracorporeal membrane oxygenation for those with severe ARDS (GRADE 2B); we suggest against using high-dose steroids (GRADE 2C); and we recommend using low-dose steroids (GRADE 1B). The recommendations for pediatric patients with ARDS are as follows: we suggest against using non-invasive respiratory support (non-invasive positive pressure ventilation/high-flow nasal cannula oxygen therapy) (GRADE 2D), we suggest placing pediatric patients with moderate ARDS in the prone position (GRADE 2D), we suggest against routinely implementing NO inhalation therapy (GRADE 2C), and we suggest against implementing daily sedation interruption for pediatric patients with respiratory failure (GRADE 2D). CONCLUSIONS This article is a translated summary of the full version of the ARDS Clinical Practice Guideline 2021 published in Japanese (URL: https://www.jsicm.org/publication/guideline.html ). The original text, which was written for Japanese healthcare professionals, may include different perspectives from healthcare professionals of other countries.
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Affiliation(s)
- Sadatomo Tasaka
- Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine, 5 Zaifucho, Hirosaki, Aomori, 036-8562, Japan.
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Muneyuki Takeuchi
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Hideto Yasuda
- Department of Emergency and Critical Care Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan
| | - Kazuya Ichikado
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | - Kenji Tsushima
- International University of Health and Welfare, Tokyo, Japan
| | - Moritoki Egi
- Department of Anesthesiology, Kobe University Hospital, Hyogo, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Osamu Saito
- Department of Pediatric Emergency and Critical Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan
| | - Shotaro Matsumoto
- Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Eishu Nango
- Department of Family Medicine, Seibo International Catholic Hospital, Tokyo, Japan
| | - Yohei Okada
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenichiro Hayashi
- Department of Pediatrics, The University of Tokyo Hospital, Tokyo, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hiroshima, Japan
| | - Mikio Nakajima
- Emergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Tokyo, Japan
| | - Satoshi Okamori
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shinya Miura
- Paediatric Intensive Care Unit, The Royal Children's Hospital, Melbourne, Australia
| | - Tatsuma Fukuda
- Department of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tadashi Ishihara
- Department of Emergency and Critical Care Medicine, Urayasu Hospital, Juntendo University, Chiba, Japan
| | - Tetsuro Kamo
- Department of Critical Care Medicine, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan
| | - Tomoaki Yatabe
- Department of Anesthesiology, Nishichita General Hospital, Tokai, Japan
| | | | - Yoshitaka Aoki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yusuke Iizuka
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University Urayasu Hospital, Chiba, Japan
| | - Chihiro Narita
- Department of Emergency Medicine, Shizuoka General Hospital, Shizuoka, Japan
| | - Daisuke Kawakami
- Department of Anesthesia and Critical Care, Kobe City Medical Center General Hospital, Hyogo, Japan
| | - Hiromu Okano
- Department of Critical Care and Emergency Medicine, National Hospital Organization Yokohama Medical Center, Kanagawa, Japan
| | - Jun Takeshita
- Department of Anesthesiology, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Keisuke Anan
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kyoto, Japan
| | | | - Shunsuke Taito
- Division of Rehabilitation, Department of Clinical Practice and Support, Hiroshima University Hospital, Hiroshima, Japan
| | - Takuya Hayashi
- Pediatric Emergency and Critical Care Center, Saitama Children's Medical Center, Saitama, Japan
| | - Takuya Mayumi
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
| | - Takero Terayama
- Department of Psychiatry, School of Medicine, National Defense Medical College, Saitama, Japan
| | - Yoshifumi Kubota
- Kameda Medical Center Department of Infectious Diseases, Chiba, Japan
| | - Yoshinobu Abe
- Division of Emergency and Disaster Medicine Tohoku Medical and Pharmaceutical University, Miyagi, Japan
| | - Yudai Iwasaki
- Department of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Yuki Kishihara
- Department of Emergency Medicine, Japanese Red Cross Musashino Hospital, Tokyo, Japan
| | - Jun Kataoka
- Department of Critical Care Medicine, Nerima Hikarigaoka Hospital, Tokyo, Japan
| | - Tetsuro Nishimura
- Department of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Yonekura
- Department of Anesthesiology and Pain Medicine, Fujita Health University Bantane Hospital, Aichi, Japan
| | - Koichi Ando
- Division of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Takuo Yoshida
- Intensive Care Unit, Department of Anesthesiology, Jikei University School of Medicine, Tokyo, Japan
| | - Tomoyuki Masuyama
- Department of Emergency and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Masamitsu Sanui
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
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21
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Hohmann F, Wedekind L, Grundeis F, Dickel S, Frank J, Golinski M, Griesel M, Grimm C, Herchenhahn C, Kramer A, Metzendorf MI, Moerer O, Olbrich N, Thieme V, Vieler A, Fichtner F, Burns J, Laudi S. Early spontaneous breathing for acute respiratory distress syndrome in individuals with COVID-19. Cochrane Database Syst Rev 2022; 6:CD015077. [PMID: 35767435 PMCID: PMC9242537 DOI: 10.1002/14651858.cd015077] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Acute respiratory distress syndrome (ARDS) represents the most severe course of COVID-19 (caused by the SARS-CoV-2 virus), usually resulting in a prolonged stay in an intensive care unit (ICU) and high mortality rates. Despite the fact that most affected individuals need invasive mechanical ventilation (IMV), evidence on specific ventilation strategies for ARDS caused by COVID-19 is scarce. Spontaneous breathing during IMV is part of a therapeutic concept comprising light levels of sedation and the avoidance of neuromuscular blocking agents (NMBA). This approach is potentially associated with both advantages (e.g. a preserved diaphragmatic motility and an optimised ventilation-perfusion ratio of the ventilated lung), as well as risks (e.g. a higher rate of ventilator-induced lung injury or a worsening of pulmonary oedema due to increases in transpulmonary pressure). As a consequence, spontaneous breathing in people with COVID-19-ARDS who are receiving IMV is subject to an ongoing debate amongst intensivists. OBJECTIVES To assess the benefits and harms of early spontaneous breathing activity in invasively ventilated people with COVID-19 with ARDS compared to ventilation strategies that avoid spontaneous breathing. SEARCH METHODS We searched the Cochrane COVID-19 Study Register (which includes CENTRAL, PubMed, Embase, Clinical Trials.gov WHO ICTRP, and medRxiv) and the WHO COVID-19 Global literature on coronavirus disease to identify completed and ongoing studies from their inception to 2 March 2022. SELECTION CRITERIA Eligible study designs comprised randomised controlled trials (RCTs) that evaluated spontaneous breathing in participants with COVID-19-related ARDS compared to ventilation strategies that avoided spontaneous breathing (e.g. using NMBA or deep sedation levels). Additionally, we considered controlled before-after studies, interrupted time series with comparison group, prospective cohort studies and retrospective cohort studies. For these non-RCT studies, we considered a minimum total number of 50 participants to be compared as necessary for inclusion. Prioritised outcomes were all-cause mortality, clinical improvement or worsening, quality of life, rate of (serious) adverse events and rate of pneumothorax. Additional outcomes were need for tracheostomy, duration of ICU length of stay and duration of hospitalisation. DATA COLLECTION AND ANALYSIS We followed the methods outlined in the Cochrane Handbook for Systematic Reviews of Interventions. Two review authors independently screened all studies at the title/abstract and full-text screening stage. We also planned to conduct data extraction and risk of bias assessment in duplicate. We planned to conduct meta-analysis for each prioritised outcome, as well as subgroup analyses of mortality regarding severity of oxygenation impairment and duration of ARDS. In addition, we planned to perform sensitivity analyses for studies at high risk of bias, studies using NMBA in addition to deep sedation level to avoid spontaneous breathing and a comparison of preprints versus peer-reviewed articles. We planned to assess the certainty of evidence using the GRADE approach. MAIN RESULTS We identified no eligible studies for this review. AUTHORS' CONCLUSIONS We found no direct evidence on whether early spontaneous breathing in SARS-CoV-2-induced ARDS is beneficial or detrimental to this particular group of patients. RCTs comparing early spontaneous breathing with ventilatory strategies not allowing for spontaneous breathing in SARS-CoV-2-induced ARDS are necessary to determine its value within the treatment of severely ill people with COVID-19. Additionally, studies should aim to clarify whether treatment effects differ between people with SARS-CoV-2-induced ARDS and people with non-SARS-CoV-2-induced ARDS.
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Affiliation(s)
- Friedrich Hohmann
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Lisa Wedekind
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
- Institute of Medical Statistics, Computer and Data Sciences, University Hospital Jena, Jena, Germany
| | - Felicitas Grundeis
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Steffen Dickel
- Department of Anesthesiology and Intensive Care Medicine, University Medical Center Goettingen, Goettingen, Germany
| | - Johannes Frank
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Martin Golinski
- Department of Anesthesiology and Intensive Care Medicine, University Medical Center Goettingen, Goettingen, Germany
| | - Mirko Griesel
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Clemens Grimm
- Department of Anesthesiology and Intensive Care Medicine, University Medical Center Goettingen, Goettingen, Germany
| | - Cindy Herchenhahn
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Andre Kramer
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Maria-Inti Metzendorf
- Institute of General Practice, Medical Faculty of the Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Onnen Moerer
- Department of Anesthesiology and Intensive Care Medicine, University Medical Center Goettingen, Goettingen, Germany
| | - Nancy Olbrich
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Volker Thieme
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Astrid Vieler
- Medicine and Sciences Library, Leipzig University, Leipzig, Germany
| | - Falk Fichtner
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
| | - Jacob Burns
- Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Chair of Public Health and Health Services Research, LMU Munich, Munich, Germany
| | - Sven Laudi
- Department of Anaesthesiology and Intensive Care, University of Leipzig Medical Center, Leipzig, Germany
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22
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Tasaka S, Ohshimo S, Takeuchi M, Yasuda H, Ichikado K, Tsushima K, Egi M, Hashimoto S, Shime N, Saito O, Matsumoto S, Nango E, Okada Y, Hayashi K, Sakuraya M, Nakajima M, Okamori S, Miura S, Fukuda T, Ishihara T, Kamo T, Yatabe T, Norisue Y, Aoki Y, Iizuka Y, Kondo Y, Narita C, Kawakami D, Okano H, Takeshita J, Anan K, Okazaki SR, Taito S, Hayashi T, Mayumi T, Terayama T, Kubota Y, Abe Y, Iwasaki Y, Kishihara Y, Kataoka J, Nishimura T, Yonekura H, Ando K, Yoshida T, Masuyama T, Sanui M. ARDS clinical practice guideline 2021. Respir Investig 2022; 60:446-495. [PMID: 35753956 DOI: 10.1016/j.resinv.2022.05.003] [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: 04/19/2022] [Revised: 05/07/2022] [Accepted: 05/13/2022] [Indexed: 12/16/2022]
Abstract
BACKGROUND The joint committee of the Japanese Society of Intensive Care Medicine/Japanese Respiratory Society/Japanese Society of Respiratory Care Medicine on ARDS Clinical Practice Guideline has created and released the ARDS Clinical Practice Guideline 2021. METHODS The 2016 edition of the Clinical Practice Guideline covered clinical questions (CQs) that targeted only adults, but the present guideline includes 15 CQs for children in addition to 46 CQs for adults. As with the previous edition, we used a systematic review method with the Grading of Recommendations Assessment Development and Evaluation (GRADE) system as well as a degree of recommendation determination method. We also conducted systematic reviews that used meta-analyses of diagnostic accuracy and network meta-analyses as a new method. RESULTS Recommendations for adult patients with ARDS are described: we suggest against using serum C-reactive protein and procalcitonin levels to identify bacterial pneumonia as the underlying disease (GRADE 2D); we recommend limiting tidal volume to 4-8 mL/kg for mechanical ventilation (GRADE 1D); we recommend against managements targeting an excessively low SpO2 (PaO2) (GRADE 2D); we suggest against using transpulmonary pressure as a routine basis in positive end-expiratory pressure settings (GRADE 2B); we suggest implementing extracorporeal membrane oxygenation for those with severe ARDS (GRADE 2B); we suggest against using high-dose steroids (GRADE 2C); and we recommend using low-dose steroids (GRADE 1B). The recommendations for pediatric patients with ARDS are as follows: we suggest against using non-invasive respiratory support (non-invasive positive pressure ventilation/high-flow nasal cannula oxygen therapy) (GRADE 2D); we suggest placing pediatric patients with moderate ARDS in the prone position (GRADE 2D); we suggest against routinely implementing NO inhalation therapy (GRADE 2C); and we suggest against implementing daily sedation interruption for pediatric patients with respiratory failure (GRADE 2D). CONCLUSIONS This article is a translated summary of the full version of the ARDS Clinical Practice Guideline 2021 published in Japanese (URL: https://www.jrs.or.jp/publication/jrs_guidelines/). The original text, which was written for Japanese healthcare professionals, may include different perspectives from healthcare professionals of other countries.
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Affiliation(s)
- Sadatomo Tasaka
- Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Aomori, Japan.
| | - Shinichiro Ohshimo
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Muneyuki Takeuchi
- Department of Intensive Care Medicine, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Hideto Yasuda
- Department of Emergency and Critical Care Medicine, Jichi Medical University, Saitama Medical Center, Saitama, Japan
| | - Kazuya Ichikado
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | - Kenji Tsushima
- International University of Health and Welfare, Tokyo, Japan
| | - Moritoki Egi
- Department of Anesthesiology, Kobe University Hospital, Hyogo, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Nobuaki Shime
- Department of Emergency and Critical Care Medicine, Graduate School of Biomedical & Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Osamu Saito
- Department of Pediatric Emergency and Critical Care Medicine, Tokyo Metropolitan Children's Medical Center, Tokyo, Japan
| | - Shotaro Matsumoto
- Division of Critical Care Medicine, National Center for Child Health and Development, Tokyo, Japan
| | - Eishu Nango
- Department of Family Medicine, Seibo International Catholic Hospital, Tokyo, Japan
| | - Yohei Okada
- Department of Primary Care and Emergency Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenichiro Hayashi
- Department of Pediatrics, The University of Tokyo Hospital, Tokyo, Japan
| | - Masaaki Sakuraya
- Department of Emergency and Intensive Care Medicine, JA Hiroshima General Hospital, Hiroshima, Japan
| | - Mikio Nakajima
- Emergency and Critical Care Center, Tokyo Metropolitan Hiroo Hospital, Tokyo, Japan
| | - Satoshi Okamori
- Division of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan
| | - Shinya Miura
- Paediatric Intensive Care Unit, The Royal Children's Hospital Melbourne, Melbourne, Australia
| | - Tatsuma Fukuda
- Department of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Okinawa, Japan
| | - Tadashi Ishihara
- Department of Emergency and Critical Care Medicine, Juntendo University, Urayasu Hospital, Chiba, Japan
| | - Tetsuro Kamo
- Department of Critical Care Medicine, Tokyo Metropolitan Bokutoh Hospital, Tokyo, Japan
| | - Tomoaki Yatabe
- Department of Anesthesiology, Nishichita General Hospital, Aichi, Japan
| | | | - Yoshitaka Aoki
- Department of Anesthesiology and Intensive Care Medicine, Hamamatsu University School of Medicine, Shizuoka, Japan
| | - Yusuke Iizuka
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
| | - Yutaka Kondo
- Department of Emergency and Critical Care Medicine, Juntendo University, Urayasu Hospital, Chiba, Japan
| | - Chihiro Narita
- Department of Emergency Medicine, Shizuoka General Hospital, Shizuoka, Japan
| | - Daisuke Kawakami
- Department of Anesthesia and Critical Care, Kobe City Medical Center General Hospital, Hyogo, Japan
| | - Hiromu Okano
- Department of Critical Care and Emergency Medicine, National Hospital Organization Yokohama Medical Center, Kanagawa, Japan
| | - Jun Takeshita
- Department of Anesthesiology, Osaka Women's and Children's Hospital, Osaka, Japan
| | - Keisuke Anan
- Division of Respiratory Medicine, Saiseikai Kumamoto Hospital, Kumamoto, Japan
| | | | - Shunsuke Taito
- Division of Rehabilitation, Department of Clinical Practice and Support, Hiroshima University Hospital, Hiroshima, Japan
| | - Takuya Hayashi
- Pediatric Emergency and Critical Care Center, Saitama Children's Medical Center, Saitama, Japan
| | - Takuya Mayumi
- Department of Cardiovascular Medicine, Graduate School of Medical Science, Kanazawa University, Kanazawa, Japan
| | - Takero Terayama
- Department of Psychiatry, School of Medicine, National Defense Medical College, Saitama, Japan
| | - Yoshifumi Kubota
- Department of Infectious Diseases, Kameda Medical Center, Chiba, Japan
| | - Yoshinobu Abe
- Division of Emergency and Disaster Medicine, Tohoku Medical and Pharmaceutical University, Miyagi, Japan
| | - Yudai Iwasaki
- Department of Anesthesiology and Perioperative Medicine, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | - Yuki Kishihara
- Department of Emergency Medicine, Japanese Red Cross Musashino Hospital, Tokyo, Japan
| | - Jun Kataoka
- Department of Critical Care Medicine, Nerima Hikarigaoka Hospital, Tokyo, Japan
| | - Tetsuro Nishimura
- Department of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, Osaka, Japan
| | - Hiroshi Yonekura
- Department of Anesthesiology and Pain Medicine, Fujita Health University Bantane Hospital, Aichi, Japan
| | - Koichi Ando
- Division of Respiratory Medicine and Allergology, Department of Medicine, Showa University School of Medicine, Tokyo, Japan
| | - Takuo Yoshida
- Intensive Care Unit, Department of Anesthesiology, Jikei University School of Medicine, Tokyo, Japan
| | - Tomoyuki Masuyama
- Department of Emergency and Critical Care Medicine, Jichi Medical University, Saitama Medical Center, Saitama, Japan
| | - Masamitsu Sanui
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, Saitama, Japan
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Yamamoto R, Okazaki SR, Fujita Y, Seki N, Kokei Y, Sekine S, Wada S, Norisue Y, Narita C. Usefulness of low tidal volume ventilation strategy for patients with acute respiratory distress syndrome: a systematic review and meta-analysis. Sci Rep 2022; 12:9331. [PMID: 35660756 PMCID: PMC9167294 DOI: 10.1038/s41598-022-13224-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/23/2022] [Indexed: 11/24/2022] Open
Abstract
The effects of lower tidal volume ventilation (LTV) were controversial for patients with acute respiratory distress syndrome (ARDS). This systematic review and meta-analysis aimed to evaluate the use of LTV strategy in patients with ARDS. We performed a literature search on MEDLINE, CENTRAL, EMBASE, CINAHL, "Igaku-Chuo-Zasshi", clinical trial registration sites, and the reference of recent guidelines. We included randomized controlled trials (RCTs) to compare the LTV strategy with the higher tidal volume ventilation (HTV) strategy in patients with ARDS. Two authors independently evaluated the eligibility of studies and extracted the data. The primary outcomes were 28-day mortality. We used the GRADE methodology to assess the certainty of evidence. Among the 19,864 records screened, 13 RCTs that recruited 1874 patients were included in our meta-analysis. When comparing LTV (4-8 ml/kg) versus HTV (> 8 ml/kg), the pooled risk ratio for 28-day mortality was 0.79 (11 studies, 95% confidence interval [CI] 0.66-0.94, I2 = 43%, n = 1795, moderate certainty of evidence). Subgroup-analysis by combined high positive end-expiratory pressure with LTV showed interaction (P = 0.01). Our study indicated that ventilation with LTV was associated with reduced risk of mortality in patients with ARDS when compared with HTV. Trial registration: UMIN-CTR (UMIN000041071).
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Affiliation(s)
- Ryohei Yamamoto
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.
- Department of Intensive Care Medicine, Kameda Medical Center, 929 Higashi-cho, Kamogawa, Chiba, Japan.
| | - Satoru Robert Okazaki
- Department of Intensive Care Medicine, Kameda Medical Center, 929 Higashi-cho, Kamogawa, Chiba, Japan
| | - Yoshihito Fujita
- Department of Anesthesiology and Intensive Care Medicine, Aichi Medical University, 1-1 Karimata, Yazako, Nagakute, Japan
| | - Nozomu Seki
- Emergency Department, Toyama University Hospital, 2630, Sugitani, Toyama-shi, Toyama, Japan
| | - Yoshufumi Kokei
- Department of Emergency Medicine Trauma and Resuscitation Center, Tokyo Metropolitan Tama Medical Center, 2-8-29, Musashidai, Fuchu, Tokyo, Japan
| | - Shusuke Sekine
- Department of Anesthesiology, Tokyo Medical University, 6-7-1 Nishishinjyuku, Shinjuku-ku, Tokyo, 160-0023, Japan
| | - Soichiro Wada
- Department of Pediatrics, Teine Keijinkai Hospital, 1-40, Maeda, Teine-ku, Sapporo, Hokkaido, Japan
| | - Yasuhiro Norisue
- Department of Emergency and Critical Care Medicine, Tokyo Bay Urayasu Ichikawa Medical Center, 3-4-32, Todaijima, Urayasu, Chiba, Japan
| | - Chihiro Narita
- Departmenet of Emergency Medicine, Shizuoka General Hospital, 4-27-1, Kitaando, Aoiku, Shizuoka, Japan
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Saha R, Assouline B, Mason G, Douiri A, Summers C, Shankar-Har M. The Impact of Sample Size Misestimations on the Interpretation of ARDS Trials: Systematic Review and Meta-analysis. Chest 2022; 162:1048-1062. [PMID: 35643115 DOI: 10.1016/j.chest.2022.05.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 04/06/2022] [Accepted: 05/04/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Indeterminate randomized controlled trials (RCTs) in ARDS may arise from sample size misspecification, leading to abandonment of efficacious therapies. RESEARCH QUESTIONS If evidence exists for sample size misspecification in ARDS RCTs, has this led to rejection of potentially beneficial therapies? Does evidence exist for prognostic enrichment in RCTs using mortality as a primary outcome? STUDY DESIGN AND METHODS We identified 150 ARDS RCTs commencing recruitment after the 1994 American European Consensus Conference ARDS definition and published before October 31, 2020. We examined predicted-observed sample size, predicted-observed control event rate (CER), predicted-observed average treatment effect (ATE), and the relationship between observed CER and observed ATE for RCTs with mortality and nonmortality primary outcome measures. To quantify the strength of evidence, we used Bayesian-averaged meta-analysis, trial sequential analysis, and Bayes factors. RESULTS Only 84 of 150 RCTs (56.0%) reported sample size estimations. In RCTs with mortality as the primary outcome, CER was overestimated in 16 of 28 RCTs (57.1%). To achieve predicted ATE, interventions needed to prevent 40.8% of all deaths, compared with the original prediction of 29.3%. Absolute reduction in mortality ≥ 10% was observed in 5 of 28 RCTs (17.9%), but predicted in 21 of 28 RCTs (75%). For RCTs with mortality as the primary outcome, no association was found between observed CER and observed ATE (pooled OR: β = -0.04; 95% credible interval, -0.18 to 0.09). We identified three interventions that are not currently standard of care with a Bayesian-averaged effect size of > 0.20 and moderate strength of existing evidence: corticosteroids, airway pressure release ventilation, and noninvasive ventilation. INTERPRETATION Reporting of sample size estimations was inconsistent in ARDS RCTs, and misspecification of CER and ATE was common. Prognostic enrichment strategies in ARDS RCTs based on all-cause mortality are unlikely to be successful. Bayesian methods can be used to prioritize interventions for future effectiveness RCTs.
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Affiliation(s)
- Rohit Saha
- Critical Care Centre, King's College London, London, United Kingdom; School of Immunology & Microbial Sciences, King's College London, London, United Kingdom
| | - Benjamin Assouline
- Service de Médecine Intensive Réanimation, Faculté de Médecine Sorbonne Université, Hôpital Pitié Salpêtrière, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - Georgina Mason
- Critical Care Centre, King's College London, London, United Kingdom
| | - Abdel Douiri
- School of Population Health & Environmental Sciences, King's College London, London, United Kingdom; National Institute for Health Research Comprehensive Biomedical Research Centre, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom
| | - Charlotte Summers
- Department of Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Manu Shankar-Har
- Centre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom.
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Cai D, Gao W, Li Z, Zhang Y, Xiao L, Xiao Y. Current Development of Nano-Drug Delivery to Target Macrophages. Biomedicines 2022; 10:1203. [PMID: 35625939 PMCID: PMC9139084 DOI: 10.3390/biomedicines10051203] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/16/2022] [Accepted: 05/18/2022] [Indexed: 11/16/2022] Open
Abstract
Macrophages are the most important innate immune cells that participate in various inflammation-related diseases. Therefore, macrophage-related pathological processes are essential targets in the diagnosis and treatment of diseases. Since nanoparticles (NPs) can be preferentially taken up by macrophages, NPs have attracted most attention for specific macrophage-targeting. In this review, the interactions between NPs and the immune system are introduced to help understand the pharmacokinetics and biodistribution of NPs in immune cells. The current design and strategy of NPs modification for specific macrophage-targeting are investigated and summarized.
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Affiliation(s)
- Donglin Cai
- Centre for Biomedical Technologies, School of Mechanical, Medical & Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia; (D.C.); (W.G.); (Z.L.)
- State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei MOST) and Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China;
| | - Wendong Gao
- Centre for Biomedical Technologies, School of Mechanical, Medical & Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia; (D.C.); (W.G.); (Z.L.)
| | - Zhelun Li
- Centre for Biomedical Technologies, School of Mechanical, Medical & Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia; (D.C.); (W.G.); (Z.L.)
- State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei MOST) and Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China;
| | - Yufeng Zhang
- State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei MOST) and Key Laboratory of Oral Biomedicine Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079, China;
| | - Lan Xiao
- Centre for Biomedical Technologies, School of Mechanical, Medical & Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia; (D.C.); (W.G.); (Z.L.)
- Australia-China Centre for Tissue Engineering and Regenerative Medicine, Queensland University of Technology, 60 Musk Ave., Kelvin Grove, Brisbane, QLD 4059, Australia
| | - Yin Xiao
- Centre for Biomedical Technologies, School of Mechanical, Medical & Process Engineering, Queensland University of Technology (QUT), Brisbane, QLD 4000, Australia; (D.C.); (W.G.); (Z.L.)
- Australia-China Centre for Tissue Engineering and Regenerative Medicine, Queensland University of Technology, 60 Musk Ave., Kelvin Grove, Brisbane, QLD 4059, Australia
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26
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Liang M, Chen X. Differential Prognostic Analysis of Higher and Lower PEEP in ARDS Patients: Systematic Review and Meta-Analysis. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:5399416. [PMID: 35356616 PMCID: PMC8959975 DOI: 10.1155/2022/5399416] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 02/25/2022] [Accepted: 03/02/2022] [Indexed: 12/30/2022]
Abstract
Background Positive end-expiratory pressure (PEEP) refers to the positive pressure in the respiratory tract at the end of the exhalation when we use a ventilator. The differences of higher PEEP and lower PEEP on clinical outcomes in acute respiratory distress syndrome (ARDS) patients are less well known. Methods A comprehensive literature search of all randomized control trials (RCTs) was conducted using PubMed, Embase, World Health Organization (WHO) Global Index Medicus, WHO clinical trial registry, and Clinicaltrials.gov. Inclusion criteria included RCTs comparing the clinical outcomes of higher and lower PEEP in ARDS patients. Results Eleven studies were included in the final analysis. In the higher PEEP group, the hospital mortality, 28-day mortality, and ICU mortality showed no significantly lower risk compared to the lower PEEP group (RR = 0.92, 95% CI 0.80-1.05, p = 0.22; RR = 0.88, 95% CI 0.73-1.05, p = 0.15; RR = 0.84, 95% CI 0.67-1.05, p = 0.12; respectively). High certainty could be obtained that there is no significant difference between the clinical outcomes of higher PEEP and lower PEEP in ARDS patients. Conclusions There is no significant difference of the hospital mortality, 28-day mortality, and ICU mortality between higher and lower PEEP in ARDS patients.
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Affiliation(s)
- Min Liang
- Department of Intensive Care Unit, Sir Run Run Shaw Hospital, Affiliated to School of Medicine, Zhejiang University, Hangzhou, China
| | - Xin Chen
- Department of Intensive Care Unit, Hangzhou Tumor Hospital, Affiliated to School of Medicine, Zhejiang University, Hangzhou, China
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Lee JWW, Chiew YS, Wang X, Mat Nor MB, Chase JG, Desaive T. Stochastic integrated model-based protocol for volume-controlled ventilation setting. Biomed Eng Online 2022; 21:13. [PMID: 35148759 PMCID: PMC8832735 DOI: 10.1186/s12938-022-00981-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/21/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND AND OBJECTIVE Mechanical ventilation (MV) is the primary form of care for respiratory failure patients. MV settings are based on general clinical guidelines, intuition, and experience. This approach is not patient-specific and patients may thus experience suboptimal, potentially harmful MV care. This study presents the Stochastic integrated VENT (SiVENT) protocol which combines model-based approaches of the VENT protocol from previous works, with stochastic modelling to take the variation of patient respiratory elastance over time into consideration. METHODS A stochastic model of Ers is integrated into the VENT protocol from previous works to develop the SiVENT protocol, to account for both intra- and inter-patient variability. A cohort of 20 virtual MV patients based on retrospective patient data are used to validate the performance of this method for volume-controlled (VC) ventilation. A performance evaluation was conducted where the SiVENT and VENT protocols were implemented in 1080 instances each to compare the two protocols and evaluate the difference in reduction of possible MV settings achieved by each. RESULTS From an initial number of 189,000 possible MV setting combinations, the VENT protocol reduced this number to a median of 10,612, achieving a reduction of 94.4% across the cohort. With the integration of the stochastic model component, the SiVENT protocol reduced this number from 189,000 to a median of 9329, achieving a reduction of 95.1% across the cohort. The SiVENT protocol reduces the number of possible combinations provided to the user by more than 1000 combinations as compared to the VENT protocol. CONCLUSIONS Adding a stochastic model component into a model-based approach to selecting MV settings improves the ability of a decision support system to recommend patient-specific MV settings. It specifically considers inter- and intra-patient variability in respiratory elastance and eliminates potentially harmful settings based on clinically recommended pressure thresholds. Clinical input and local protocols can further reduce the number of safe setting combinations. The results for the SiVENT protocol justify further investigation of its prediction accuracy and clinical validation trials.
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Affiliation(s)
- Jay Wing Wai Lee
- School of Engineering, Monash University Malaysia, Subang Jaya, Selangor Malaysia
| | - Yeong Shiong Chiew
- School of Engineering, Monash University Malaysia, Subang Jaya, Selangor Malaysia
| | - Xin Wang
- School of Engineering, Monash University Malaysia, Subang Jaya, Selangor Malaysia
| | - Mohd Basri Mat Nor
- Kulliyah of Medicine, International Islamic University Malaysia, Kuantan, Malaysia
| | - J. Geoffrey Chase
- Center of Bioengineering, University of Canterbury, Christchurch, New Zealand
| | - Thomas Desaive
- GIGA In-Silico Medicine, University of Liege, Liege, Belgium
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Lee JWW, Chiew YS, Wang X, Tan CP, Mat Nor MB, Damanhuri NS, Chase JG. Stochastic Modelling of Respiratory System Elastance for Mechanically Ventilated Respiratory Failure Patients. Ann Biomed Eng 2021; 49:3280-3295. [PMID: 34435276 PMCID: PMC8386681 DOI: 10.1007/s10439-021-02854-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 08/13/2021] [Indexed: 02/07/2023]
Abstract
While lung protective mechanical ventilation (MV) guidelines have been developed to avoid ventilator-induced lung injury (VILI), a one-size-fits-all approach cannot benefit every individual patient. Hence, there is significant need for the ability to provide patient-specific MV settings to ensure safety, and optimise patient care. Model-based approaches enable patient-specific care by identifying time-varying patient-specific parameters, such as respiratory elastance, Ers, to capture inter- and intra-patient variability. However, patient-specific parameters evolve with time, as a function of disease progression and patient condition, making predicting their future values crucial for recommending patient-specific MV settings. This study employs stochastic modelling to predict future Ers values using retrospective patient data to develop and validate a model indicating future intra-patient variability of Ers. Cross validation results show stochastic modelling can predict future elastance ranges with 92.59 and 68.56% of predicted values within the 5-95% and the 25-75% range, respectively. This range can be used to ensure patients receive adequate minute ventilation should elastance rise and minimise the risk of VILI should elastance fall. The results show the potential for model-based protocols using stochastic model prediction of future Ers values to provide safe and patient-specific MV. These results warrant further investigation to validate its clinical utility.
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Affiliation(s)
- Jay Wing Wai Lee
- School of Engineering, Monash University Malaysia, 47500, Subang Jaya, Selangor, Malaysia.
| | - Yeong Shiong Chiew
- School of Engineering, Monash University Malaysia, 47500, Subang Jaya, Selangor, Malaysia.
| | - Xin Wang
- School of Engineering, Monash University Malaysia, 47500, Subang Jaya, Selangor, Malaysia
| | - Chee Pin Tan
- School of Engineering, Monash University Malaysia, 47500, Subang Jaya, Selangor, Malaysia
| | - Mohd Basri Mat Nor
- Kulliyah of Medicine, International Islamic University Malaysia, 25200, Kuantan, Pahang, Malaysia
| | - Nor Salwa Damanhuri
- Faculty of Electrical Engineering, Universiti Teknologi MARA, Cawangan Pulau Pinang, 13500, Bukit Bertajam, Pulau Pinang, Malaysia
| | - J Geoffrey Chase
- Center of Bioengineering, University of Canterbury, Christchurch, 8041, New Zealand
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Higny J, Feye F, Forêt F. COVID-19 pandemic: overview of protective-ventilation strategy in ARDS patients. Acta Clin Belg 2021; 76:509-511. [PMID: 32340583 DOI: 10.1080/17843286.2020.1761162] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Objectives: In the context of COVID-19 pandemic, the aim of this manuscript is to provide a standard of care of patients with ARDS for non-emergency medicine trained physicians who are not customary with mechanical ventilation.Methods: We conducted a systematic review of the literature to investigate the best practice recommendations regarding the mechanical ventilation of patients with ARDS.Conclusion: We summarized the principal strategies for lung-protective ventilation of patients with ARDS. This focus is particularly addressed to physicians who are not experienced in the invasive respiratory management of ARDS patients. Nevertheless, it remains fundamental to acknowledge that new insights concerning this quickly spreading illness become available on a regular base.
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Affiliation(s)
- Julien Higny
- Department of Cardiovascular Disease, CHU UCL Namur, Yvoir, Belgium
| | - Frédéric Feye
- Department of Emergency Medicine, Provincial Director of COVID-19 Health Services, CHU UCL Namur, Dinant, Belgium
| | - Frédéric Forêt
- Department of Intensive Care Medicine, CHU UCL Namur, Dinant, Belgium
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Modesto I Alapont V, Medina Villanueva A, Del Villar Guerra P, Camilo C, Fernández-Ureña S, Gordo-Vidal F, Khemani R. OLA strategy for ARDS: Its effect on mortality depends on achieved recruitment (PaO 2/FiO 2) and mechanical power. Systematic review and meta-analysis with meta-regression. Med Intensiva 2021; 45:516-531. [PMID: 34839883 DOI: 10.1016/j.medine.2021.03.001] [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: 12/13/2020] [Accepted: 03/26/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The "Open Lung Approach" (OLA), that includes high levels of positive end-expiratory pressure coupled with limited tidal volumes, is considered optimal for adult patients with ARDS. However, many previous meta-analyses have shown only marginal benefits of OLA on mortality but with statistical heterogeneity. It is crucial to identify the most likely moderators of this effect. To determine the effect of OLA strategy on mortality of ventilated ARDS patients. We hypothesized that the degree of recruitment achieved in the control group (PaO2/FiO2 ratio on day 3 of ventilation), and the difference in Mechanical Power (MP) or Driving Pressure (DP) between experimental and control groups will be the most likely sources of heterogeneity. DESIGN A Systematic Review and Meta-analysis was performed according to PRISMA statement and registered in PROSPERO database. We searched only for randomized controlled trials (RCTs). GRADE guidelines were used for rating the quality of evidence. Publication bias was assessed. For the Meta-analysis, we used a Random Effects Model. Sources of heterogeneity were explored with Meta-Regression, using a priori proposed set of possible moderators. For model comparison, Akaike's Information Criterion with the finite sample correction (AICc) was used. SETTING Not applicable. PATIENTS Fourteen RCTs were included in the study. INTERVENTIONS Not applicable. MAIN VARIABLES OF INTEREST Not applicable. RESULTS Evidence of publication bias was detected, and quality of evidence was downgraded. Pooled analysis did not show a significant difference in the 28-day mortality between OLA strategy and control groups. Overall risk of bias was low. The analysis detected statistical heterogeneity. The two "best" explicative meta-regression models were those that used control PaO2/FiO2 on day 3 and difference in MP between experimental and control groups. The DP and MP models were highly correlated. CONCLUSIONS There is no clear benefit of OLA strategy on mortality of ARDS patients, with significant heterogeneity among RCTs. Mortality effect of OLA is mediated by lung recruitment and mechanical power.
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Affiliation(s)
| | | | - P Del Villar Guerra
- Department of Pediatrics, Hospital Universitario Rio Hortega, Valladolid, Spain
| | - C Camilo
- PICU, Hospital de Santa Maria-Centro Hospitalar Lisboa Norte, Lisboa, Portugal
| | - S Fernández-Ureña
- Urgencias Pediátricas, Complejo Hospitalario Universitario Materno Insular Las Palmas, Universidad de Las Palmas, Las Palmas de Gran Canaria, Spain
| | - F Gordo-Vidal
- ICU, Hospital del Henares, Grupo de Investigación en Patología Crítica de la Universidad Francisco de Vitoria, Pozuelo de Alarcón, Madrid, Spain
| | - R Khemani
- PICU, Children's Hospital Los Angeles, California, USA
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Andellini M, Faggiano F, Picardo SG, Testa G, Perrotta D, Bianchi R, Nocchi F, Capussotto C, Bassanelli E, Derrico P, Pirozzi N, Pecchia L, Ritrovato M. Health Technology Assessment of Intensive Care Ventilators for Pediatric Patients. CHILDREN (BASEL, SWITZERLAND) 2021; 8:986. [PMID: 34828698 PMCID: PMC8621341 DOI: 10.3390/children8110986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/26/2021] [Accepted: 10/26/2021] [Indexed: 11/17/2022]
Abstract
This paper is aimed at addressing all the critical aspects linked to the implementation of intensive care ventilators in a pediatric setting, highlighting the most relevant technical features and describing the methodology to conduct health technology assessment (HTA) for supporting the decision-making process. Four ventilator models were included in the assessment process. A decision-making support tool (DoHTA method) was applied. Twenty-eight Key Performance Indicators (KPIs) were identified, defining the safety, clinical effectiveness, organizational, technical, and economic aspects. The Performance scores of each ventilator have been measured with respect to KPIs integrated with the total cost of ownership analysis, leading to a final rank of the four possible technological solutions. The final technologies' performance scores reflected a deliver valued, contextualized, and shared outputs, detecting the most performant technological solution for the specific hospital context. HTA results had informed and supported the pediatric hospital decision-making process. This study, critically identifying the pros and cons of innovative features of ventilators and the evaluation criteria and aspects to be taken into account during HTA, can be considered as a valuable proof of evidence as well as a reliable and transferable method for conducting decision-making processes in a hospital context.
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Affiliation(s)
- Martina Andellini
- HTA Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (F.F.); (M.R.)
| | - Francesco Faggiano
- HTA Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (F.F.); (M.R.)
| | - Sergio Giuseppe Picardo
- Department of Anesthesia and Critical Care, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (S.G.P.); (D.P.); (R.B.)
| | - Giuseppina Testa
- Paediatric Cardiac Anesthesia and Intensive Care Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy;
| | - Daniela Perrotta
- Department of Anesthesia and Critical Care, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (S.G.P.); (D.P.); (R.B.)
| | - Roberto Bianchi
- Department of Anesthesia and Critical Care, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (S.G.P.); (D.P.); (R.B.)
| | - Federico Nocchi
- Clinical Engineering Department, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (F.N.); (C.C.)
| | - Carlo Capussotto
- Clinical Engineering Department, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (F.N.); (C.C.)
| | - Elena Bassanelli
- HTA and Safety Research Unit, Scientific Directorate, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (E.B.); (P.D.)
| | - Pietro Derrico
- HTA and Safety Research Unit, Scientific Directorate, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (E.B.); (P.D.)
| | - Nicola Pirozzi
- Paediatric Emergency Department, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy;
| | - Leandro Pecchia
- School of Engineering, University of Warwick, Coventry CV4 7AL, UK;
| | - Matteo Ritrovato
- HTA Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (F.F.); (M.R.)
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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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Sud S, Friedrich JO, Adhikari NKJ, Fan E, Ferguson ND, Guyatt G, Meade MO. Comparative Effectiveness of Protective Ventilation Strategies for Moderate and Severe Acute Respiratory Distress Syndrome. A Network Meta-Analysis. Am J Respir Crit Care Med 2021; 203:1366-1377. [PMID: 33406009 DOI: 10.1164/rccm.202008-3039oc] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Rationale: Choosing the best ventilation strategy for acute respiratory distress syndrome (ARDS) is complex, yet it is highly relevant to clinicians during a respiratory pandemic. Objectives: To compare the effects of low Vt, high Vt, high positive end-expiratory pressure (PEEP), prone ventilation, high-frequency oscillation, and venovenous extracorporeal membrane oxygenation (VV ECMO) on mortality in ARDS. Methods: We performed a network meta-analysis of randomized trials. We applied the Grading of Recommendations Assessment, Development and Evaluation methodology to discern the relative effect of interventions on mortality. Measurements and Main Results: We analyzed 34 trials including 9,085 adults with primarily moderate-to-severe ARDS (median baseline PaO2/FiO2, 118; interquartile range, 110-143). Prone positioning combined with low Vt was the best strategy (risk ratio [RR], 0.74 [95% confidence interval (CI), 0.60-0.92] vs. low Vt; high certainty). VV ECMO was also rated among the best (RR, 0.78 [95% CI, 0.58-1.05] vs. low Vt; RR, 0.66; [95% CI, 0.49-0.88] vs. high Vt) but was rated with lower certainty because VV ECMO was restricted to very severe ARDS (mean baseline PaO2/FiO2<75). High PEEP combined with low Vt was rated intermediately (RR, 0.91 [95% CI, 0.81-1.03] vs. low Vt; low certainty; RR, 0.77 [95% CI, 0.65-0.91] vs. high Vt; moderate certainty). High Vt was rated worst (RR, 1.19 [95% CI, 1.02-1.37] vs. low Vt; moderate certainty), and we found no support for high-frequency oscillation or high Vt with prone ventilation. Conclusions: These findings suggest that combining low Vt with prone ventilation is associated with the greatest reduction in mortality for critically ill adults with moderate-to-severe ARDS.
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Affiliation(s)
- Sachin Sud
- Division of Critical Care, Department of Medicine, Trillium Health Partners-University of Toronto, Mississauga, Ontario, Canada.,Institute of Better Health, Trillium Health Partners, Mississauga, Ontario, Canada
| | | | - Neill K J Adhikari
- Interdepartmental Division of Critical Care Medicine.,Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.,Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Eddy Fan
- Interdepartmental Division of Critical Care Medicine.,Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Niall D Ferguson
- Interdepartmental Division of Critical Care Medicine.,Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Gordon Guyatt
- Department of Health Research Methods, Evidence and Impact
| | - Maureen O Meade
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
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Costa ELV, Slutsky AS, Brochard LJ, Brower R, Serpa-Neto A, Cavalcanti AB, Mercat A, Meade M, Morais CCA, Goligher E, Carvalho CRR, Amato MBP. Ventilatory Variables and Mechanical Power in Patients with Acute Respiratory Distress Syndrome. Am J Respir Crit Care Med 2021; 204:303-311. [PMID: 33784486 DOI: 10.1164/rccm.202009-3467oc] [Citation(s) in RCA: 150] [Impact Index Per Article: 50.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Rationale: Mortality in acute respiratory distress syndrome (ARDS) has decreased after the adoption of lung-protective strategies. Lower Vt, lower driving pressure (ΔP), lower respiratory rates (RR), and higher end-expiratory pressure have all been suggested as key components of lung protection strategies. A unifying theoretical explanation has been proposed that attributes lung injury to the energy transfer rate (mechanical power) from the ventilator to the patient, calculated from a combination of several ventilator variables.Objectives: To assess the impact of mechanical power on mortality in patients with ARDS as compared with that of primary ventilator variables such as the ΔP, Vt, and RR.Methods: We obtained data on ventilatory variables and mechanical power from a pooled database of patients with ARDS who had participated in six randomized clinical trials of protective mechanical ventilation and one large observational cohort of patients with ARDS. The primary outcome was mortality at 28 days or 60 days.Measurements and Main Results: We included 4,549 patients (38% women; mean age, 55 ± 23 yr). The average mechanical power was 0.32 ± 0.14 J · min-1 · kg-1 of predicted body weight, the ΔP was 15.0 ± 5.8 cm H2O, and the RR was 25.7 ± 7.4 breaths/min. The driving pressure, RR, and mechanical power were significant predictors of mortality in adjusted analyses. The impact of the ΔP on mortality was four times as large as that of the RR.Conclusions: Mechanical power was associated with mortality during controlled mechanical ventilation in ARDS, but a simpler model using only the ΔP and RR was equivalent.
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Affiliation(s)
- Eduardo L V Costa
- Laboratório de Pneumologia, Laboratório de Investigação Médica 09, Disciplina de Pneumologia, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil.,Instituto de Ensino e Pesquisa, Hospital Sírio-Libanes, São Paulo, São Paulo, Brazil
| | - Arthur S Slutsky
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Laurent J Brochard
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Roy Brower
- Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Ary Serpa-Neto
- Hospital Israelita Albert Einstein, São Paulo, São Paulo, Brazil
| | - Alexandre B Cavalcanti
- Instituto de Pesquisas Hospital do Coração-Hospital do Coração, São Paulo, São Paulo, Brazil
| | - Alain Mercat
- Département de Médecine Intensive-Réanimation, Centre Hospitalier Universitaire d'Angers, Université d'Angers, Angers, France
| | - Maureen Meade
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Caio C A Morais
- Laboratório de Pneumologia, Laboratório de Investigação Médica 09, Disciplina de Pneumologia, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Ewan Goligher
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada.,Division of Respirology, Department of Medicine, University Health Network and Sinai Health System, Toronto, Ontario, Canada; and.,Toronto General Hospital Research Institute, Toronto General Hospital, Toronto, Ontario, Canada
| | - Carlos R R Carvalho
- Laboratório de Pneumologia, Laboratório de Investigação Médica 09, Disciplina de Pneumologia, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil
| | - Marcelo B P Amato
- Laboratório de Pneumologia, Laboratório de Investigação Médica 09, Disciplina de Pneumologia, Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, São Paulo, Brazil
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Abstract
OBJECTIVE To describe the physiology of air leak in bronchopleural fistula in mechanically ventilated patients and how understanding of its physiology drives management of positive-pressure ventilation. To provide guidance of lung isolation, mechanical ventilator, pleural catheter, and endobronchial strategies for the management of bronchopleural fistula on mechanical ventilation. DATA SOURCES Online search of PubMed and manual review of articles (laboratory and patient studies) was performed. STUDY SELECTION Articles relevant to bronchopleural fistula, mechanical ventilation in patients with bronchopleural fistula, independent lung ventilation, high-flow ventilatory modes, physiology of persistent air leak, extracorporeal membrane oxygenation, fluid dynamics of bronchopleural fistula airflow, and intrapleural catheter management were selected. Randomized trials, observational studies, case reports, and physiologic studies were included. DATA EXTRACTION Data from selected studies were qualitatively evaluated for this review. We included data illustrating the physiology of driving pressure across a bronchopleural fistula as well as data, largely from case reports, demonstrating management and outcomes with various ventilator modes, intrapleural catheter techniques, endoscopic placement of occlusion and valve devices, and extracorporeal membrane oxygenation. Themes related to managing persistent air leak with mechanical ventilation were reviewed and extracted. DATA SYNTHESIS In case reports that demonstrate different approaches to managing patients with bronchopleural fistula requiring mechanical ventilation, common themes emerge. Strategies aimed at decreasing peak inspiratory pressure, using lower tidal volumes, lowering positive end-expiratory pressure, decreasing the inspiratory time, and decreasing the respiratory rate, while minimizing negative intrapleural pressure decreases airflow across the bronchopleural fistula. CONCLUSIONS Mechanical ventilation and intrapleural catheter management must be individualized and aimed at reducing air leak. Clinicians should emphasize reducing peak inspiratory pressures, reducing positive end-expiratory pressure, and limiting negative intrapleural pressure. In refractory cases, clinicians can consider lung isolation, independent lung ventilation, or extracorporeal membrane oxygenation in appropriate patients as well as definitive management with advanced bronchoscopic placement of valves or occlusion devices.
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Khan YA, Fan E, Ferguson ND. Precision Medicine and Heterogeneity of Treatment Effect in Therapies for Acute Respiratory Distress Syndrome. Chest 2021; 160:1729-1738. [PMID: 34270967 PMCID: PMC8277554 DOI: 10.1016/j.chest.2021.07.009] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 06/28/2021] [Accepted: 07/05/2021] [Indexed: 12/16/2022] Open
Abstract
Acute respiratory distress syndrome (ARDS) is a clinically heterogenous syndrome, rather than a distinct disease. This heterogeneity at least partially explains the difficulty in studying treatments for these patients and contributes to the numerous trials of therapies for the syndrome that have not shown benefit. Recent studies have identified different subphenotypes within the heterogenous patient population. These different subphenotypes likely have variable clinical responses to specific therapies, a concept known as heterogeneity of treatment effect (HTE). Recognizing different subphenotypes and HTE has important implications for the clinical management of patients with ARDS. In this review, we will present studies that have identified different subphenotypes and discuss how they can modify the effects of therapies evaluated in trials that are commonly considered to have demonstrated no overall benefit in patients with ARDS.
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Affiliation(s)
- Yasin A Khan
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Department of Medicine, University of Toronto, Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | - Eddy Fan
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Department of Medicine, University of Toronto, Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada; Toronto General Hospital Research Institute, Toronto, Canada; Division of Respirology, Department of Medicine, University Health Network, Toronto, Canada
| | - Niall D Ferguson
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Canada; Department of Medicine, University of Toronto, Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada; Toronto General Hospital Research Institute, Toronto, Canada; Department of Physiology, University of Toronto, Toronto, Canada; Division of Respirology, Department of Medicine, University Health Network, Toronto, Canada.
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Saha R, Assouline B, Mason G, Douiri A, Summers C, Shankar-Hari M. Impact of differences in acute respiratory distress syndrome randomised controlled trial inclusion and exclusion criteria: systematic review and meta-analysis. Br J Anaesth 2021; 127:85-101. [PMID: 33812666 PMCID: PMC9768208 DOI: 10.1016/j.bja.2021.02.027] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/31/2021] [Accepted: 02/21/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Control-arm mortality varies between acute respiratory distress syndrome (ARDS) RCTs. METHODS We systematically reviewed ARDS RCTs that commenced recruitment after publication of the American-European Consensus (AECC) definition (MEDLINE, Embase, and Cochrane central register of controlled trials; January 1994 to October 2020). We assessed concordance of RCT inclusion criteria to ARDS consensus definitions and whether exclusion criteria are strongly or poorly justified. We estimated the proportion of between-trial difference in control-arm 28-day mortality explained by the inclusion criteria and RCT design characteristics using meta-regression. RESULTS A literature search identified 43 709 records. One hundred and fifty ARDS RCTs were included; 146/150 (97.3%) RCTs defined ARDS inclusion criteria using AECC/Berlin definitions. Deviations from consensus definitions, primarily aimed at improving ARDS diagnostic certainty, frequently related to duration of hypoxaemia (117/146; 80.1%). Exclusion criteria could be grouped by rationale for selection into strongly or poorly justified criteria. Common poorly justified exclusions included pregnancy related, age, and comorbidities (infectious/immunosuppression, hepatic, renal, and human immunodeficiency virus/acquired immunodeficiency syndrome). Control-arm 28-day mortality varied between ARDS RCTs (mean: 29.8% [95% confidence interval: 27.0-32.7%; I2=88.8%; τ2=0.02; P<0.01]), and differed significantly between RCTs with different Pao2:FiO2 ratio inclusion thresholds (26.6-39.9 kPa vs <26.6 kPa; P<0.01). In a meta-regression model, inclusion criteria and RCT design characteristics accounted for 30.6% of between-trial difference (P<0.01). CONCLUSIONS In most ARDS RCTs, consensus definitions are modified to use as inclusion criteria. Between-RCT mortality differences are mostly explained by the Pao2:FiO2 ratio threshold within the consensus definitions. An exclusion criteria framework can be applied when designing and reporting exclusion criteria in future ARDS RCTs.
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Affiliation(s)
- Rohit Saha
- Critical Care, King's College Hospital NHS Foundation Trust, London, UK
| | | | - Georgina Mason
- Critical Care, King's College Hospital NHS Foundation Trust, London, UK
| | - Abdel Douiri
- School of Population Health & Environmental Sciences, King's College London, London, UK; National Institute for Health Research Comprehensive Biomedical Research Centre, Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Manu Shankar-Hari
- Critical Care, Guy's and St Thomas' NHS Foundation Trust, London, UK; School of Immunology & Microbial Sciences, King's College London, London, UK.
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Modesto I Alapont V, Medina Villanueva A, Del Villar Guerra P, Camilo C, Fernández-Ureña S, Gordo-Vidal F, Khemani R. OLA strategy for ARDS: Its effect on mortality depends on achieved recruitment (PaO 2/FiO 2) and mechanical power. Systematic review and meta-analysis with meta-regression. Med Intensiva 2021; 45:S0210-5691(21)00075-9. [PMID: 34103170 DOI: 10.1016/j.medin.2021.03.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 02/26/2021] [Accepted: 03/26/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The "Open Lung Approach" (OLA), that includes high levels of positive end-expiratory pressure coupled with limited tidal volumes, is considered optimal for adult patients with ARDS. However, many previous meta-analyses have shown only marginal benefits of OLA on mortality but with statistical heterogeneity. It is crucial to identify the most likely moderators of this effect. To determine the effect of OLA strategy on mortality of ventilated ARDS patients. We hypothesized that the degree of recruitment achieved in the control group (PaO2/FiO2 ratio on day 3 of ventilation), and the difference in Mechanical Power (MP) or Driving Pressure (DP) between experimental and control groups will be the most likely sources of heterogeneity. DESIGN A Systematic Review and Meta-analysis was performed according to PRISMA statement and registered in PROSPERO database. We searched only for randomized controlled trials (RCTs). GRADE guidelines were used for rating the quality of evidence. Publication bias was assessed. For the Meta-analysis, we used a Random Effects Model. Sources of heterogeneity were explored with Meta-Regression, using a priori proposed set of possible moderators. For model comparison, Akaike's Information Criterion with the finite sample correction (AICc) was used. SETTING Not applicable. PATIENTS Fourteen RCTs were included in the study. INTERVENTIONS Not applicable. MAIN VARIABLES OF INTEREST Not applicable. RESULTS Evidence of publication bias was detected, and quality of evidence was downgraded. Pooled analysis did not show a significant difference in the 28-day mortality between OLA strategy and control groups. Overall risk of bias was low. The analysis detected statistical heterogeneity. The two "best" explicative meta-regression models were those that used control PaO2/FiO2 on day 3 and difference in MP between experimental and control groups. The DP and MP models were highly correlated. CONCLUSIONS There is no clear benefit of OLA strategy on mortality of ARDS patients, with significant heterogeneity among RCTs. Mortality effect of OLA is mediated by lung recruitment and mechanical power.
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Affiliation(s)
| | | | - P Del Villar Guerra
- Department of Pediatrics, Hospital Universitario Rio Hortega, Valladolid, Spain
| | - C Camilo
- PICU, Hospital de Santa Maria-Centro Hospitalar Lisboa Norte, Lisboa, Portugal
| | - S Fernández-Ureña
- Urgencias Pediátricas, Complejo Hospitalario Universitario Materno Insular Las Palmas, Universidad de Las Palmas, Las Palmas de Gran Canaria, Spain
| | - F Gordo-Vidal
- ICU, Hospital del Henares, Grupo de Investigación en Patología Crítica de la Universidad Francisco de Vitoria, Pozuelo de Alarcón, Madrid, Spain
| | - R Khemani
- PICU, Children's Hospital Los Angeles, California, USA
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Santa Cruz R, Villarejo F, Irrazabal C, Ciapponi A. High versus low positive end-expiratory pressure (PEEP) levels for mechanically ventilated adult patients with acute lung injury and acute respiratory distress syndrome. Cochrane Database Syst Rev 2021; 3:CD009098. [PMID: 33784416 PMCID: PMC8094163 DOI: 10.1002/14651858.cd009098.pub3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND In patients with acute lung injury (ALI) and acute respiratory distress syndrome (ARDS), mortality remains high. These patients require mechanical ventilation, which has been associated with ventilator-induced lung injury. High levels of positive end-expiratory pressure (PEEP) could reduce this condition and improve patient survival. This is an updated version of the review first published in 2013. OBJECTIVES To assess the benefits and harms of high versus low levels of PEEP in adults with ALI and ARDS. SEARCH METHODS For our previous review, we searched databases from inception until 2013. For this updated review, we searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, LILACS, and the Web of Science from inception until May 2020. We also searched for ongoing trials (www.trialscentral.org; www.clinicaltrial.gov; www.controlled-trials.com), and we screened the reference lists of included studies. SELECTION CRITERIA We included randomised controlled trials that compared high versus low levels of PEEP in ALI and ARDS participants who were intubated and mechanically ventilated in intensive care for at least 24 hours. DATA COLLECTION AND ANALYSIS Two review authors assessed risk of bias and extracted data independently. We contacted investigators to identify additional published and unpublished studies. We used standard methodological procedures expected by Cochrane. MAIN RESULTS We included four new studies (1343 participants) in this review update. In total, we included 10 studies (3851 participants). We found evidence of risk of bias in six studies, and the remaining studies fulfilled all criteria for low risk of bias. In eight studies (3703 participants), a comparison was made between high and low levels of PEEP, with the same tidal volume in both groups. In the remaining two studies (148 participants), the tidal volume was different between high- and low-level groups. In the main analysis, we assessed mortality occurring before hospital discharge only in studies that compared high versus low PEEP, with the same tidal volume in both groups. Evidence suggests that high PEEP may result in little to no difference in mortality compared to low PEEP (risk ratio (RR) 0.97, 95% confidence interval (CI) 0.90 to 1.04; I² = 15%; 7 studies, 3640 participants; moderate-certainty evidence). In addition, high PEEP may result in little to no difference in barotrauma (RR 1.00, 95% CI 0.64 to 1.57; I² = 63%; 9 studies, 3791 participants; low-certainty evidence). High PEEP may improve oxygenation in patients up to the first and third days of mechanical ventilation (first day: mean difference (MD) 51.03, 95% CI 35.86 to 66.20; I² = 85%; 6 studies, 2594 participants; low-certainty evidence; third day: MD 50.32, 95% CI 34.92 to 65.72; I² = 83%; 6 studies, 2309 participants; low-certainty evidence) and probably improves oxygenation up to the seventh day (MD 28.52, 95% CI 20.82 to 36.21; I² = 0%; 5 studies, 1611 participants; moderate-certainty evidence). Evidence suggests that high PEEP results in little to no difference in the number of ventilator-free days (MD 0.45, 95% CI -2.02 to 2.92; I² = 81%; 3 studies, 1654 participants; low-certainty evidence). Available data were insufficient to pool the evidence for length of stay in the intensive care unit. AUTHORS' CONCLUSIONS Moderate-certainty evidence shows that high levels compared to low levels of PEEP do not reduce mortality before hospital discharge. Low-certainty evidence suggests that high levels of PEEP result in little to no difference in the risk of barotrauma. Low-certainty evidence also suggests that high levels of PEEP improve oxygenation up to the first and third days of mechanical ventilation, and moderate-certainty evidence indicates that high levels of PEEP improve oxygenation up to the seventh day of mechanical ventilation. As in our previous review, we found clinical heterogeneity - mainly within participant characteristics and methods of titrating PEEP - that does not allow us to draw definitive conclusions regarding the use of high levels of PEEP in patients with ALI and ARDS. Further studies should aim to determine the appropriate method of using high levels of PEEP and the advantages and disadvantages associated with high levels of PEEP in different ARDS and ALI patient populations.
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Affiliation(s)
- Roberto Santa Cruz
- Department of Intensive Care, Hospital Ramos Mejía, Ciudad Autónoma de Buenos Aires, Argentina
- School of Medicine, Universidad de Magallanes, Punta Arenas, Chile
| | - Fernando Villarejo
- Critical Care Unit, Hospital Nacional Posadas, El Palomar. Morón, Argentina
| | - Celica Irrazabal
- Hospital de Clínicas José de San Martín, Buenos Aires, Argentina
| | - Agustín Ciapponi
- Argentine Cochrane Centre, Institute for Clinical Effectiveness and Health Policy (IECS-CONICET), Buenos Aires, Argentina
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[S3 Guideline Sepsis-prevention, diagnosis, therapy, and aftercare : Long version]. Med Klin Intensivmed Notfmed 2021; 115:37-109. [PMID: 32356041 DOI: 10.1007/s00063-020-00685-0] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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41
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Zampieri FG, Casey JD, Shankar-Hari M, Harrell FE, Harhay MO. Using Bayesian Methods to Augment the Interpretation of Critical Care Trials. An Overview of Theory and Example Reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial. Am J Respir Crit Care Med 2021; 203:543-552. [PMID: 33270526 PMCID: PMC7924582 DOI: 10.1164/rccm.202006-2381cp] [Citation(s) in RCA: 85] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 12/03/2020] [Indexed: 12/27/2022] Open
Abstract
Most randomized trials are designed and analyzed using frequentist statistical approaches such as null hypothesis testing and P values. Conceptually, P values are cumbersome to understand, as they provide evidence of data incompatibility with a null hypothesis (e.g., no clinical benefit) and not direct evidence of the alternative hypothesis (e.g., clinical benefit). This counterintuitive framework may contribute to the misinterpretation that the absence of evidence is equal to evidence of absence and may cause the discounting of potentially informative data. Bayesian methods provide an alternative, probabilistic interpretation of data. The reanalysis of completed trials using Bayesian methods is becoming increasingly common, particularly for trials with effect estimates that appear clinically significant despite P values above the traditional threshold of 0.05. Statistical inference using Bayesian methods produces a distribution of effect sizes that would be compatible with observed trial data, interpreted in the context of prior assumptions about an intervention (called "priors"). These priors are chosen by investigators to reflect existing beliefs and past empirical evidence regarding the effect of an intervention. By calculating the likelihood of clinical benefit, a Bayesian reanalysis can augment the interpretation of a trial. However, if priors are not defined a priori, there is a legitimate concern that priors could be constructed in a manner that produces biased results. Therefore, some standardization of priors for Bayesian reanalysis of clinical trials may be desirable for the critical care community. In this Critical Care Perspective, we discuss both frequentist and Bayesian approaches to clinical trial analysis, introduce a framework that researchers can use to select priors for a Bayesian reanalysis, and demonstrate how to apply our proposal by conducting a novel Bayesian trial reanalysis.
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Affiliation(s)
- Fernando G. Zampieri
- Research Institute, HCor‐Hospital do Coração, São Paulo, Brazil
- Center for Epidemiological Research, Southern Denmark University, Odense, Denmark
| | | | - Manu Shankar-Hari
- Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
- Guy’s and St. Thomas’ NHS Foundation Trust, ICU Support Offices, St. Thomas’ Hospital, London, United Kingdom
| | - Frank E. Harrell
- School of Immunology & Microbial Sciences, King’s College London, London, United Kingdom; and
| | - Michael O. Harhay
- PAIR (Palliative and Advanced Illness Research) Center Clinical Trials Methods and Outcomes Lab
- Department of Biostatistics, Epidemiology, and Informatics, and
- Division of Pulmonary and Critical Care, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
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Peine A, Hallawa A, Bickenbach J, Dartmann G, Fazlic LB, Schmeink A, Ascheid G, Thiemermann C, Schuppert A, Kindle R, Celi L, Marx G, Martin L. Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care. NPJ Digit Med 2021; 4:32. [PMID: 33608661 PMCID: PMC7895944 DOI: 10.1038/s41746-021-00388-6] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 01/11/2021] [Indexed: 01/18/2023] Open
Abstract
The aim of this work was to develop and evaluate the reinforcement learning algorithm VentAI, which is able to suggest a dynamically optimized mechanical ventilation regime for critically-ill patients. We built, validated and tested its performance on 11,943 events of volume-controlled mechanical ventilation derived from 61,532 distinct ICU admissions and tested it on an independent, secondary dataset (200,859 ICU stays; 25,086 mechanical ventilation events). A patient “data fingerprint” of 44 features was extracted as multidimensional time series in 4-hour time steps. We used a Markov decision process, including a reward system and a Q-learning approach, to find the optimized settings for positive end-expiratory pressure (PEEP), fraction of inspired oxygen (FiO2) and ideal body weight-adjusted tidal volume (Vt). The observed outcome was in-hospital or 90-day mortality. VentAI reached a significantly increased estimated performance return of 83.3 (primary dataset) and 84.1 (secondary dataset) compared to physicians’ standard clinical care (51.1). The number of recommended action changes per mechanically ventilated patient constantly exceeded those of the clinicians. VentAI chose 202.9% more frequently ventilation regimes with lower Vt (5–7.5 mL/kg), but 50.8% less for regimes with higher Vt (7.5–10 mL/kg). VentAI recommended 29.3% more frequently PEEP levels of 5–7 cm H2O and 53.6% more frequently PEEP levels of 7–9 cmH2O. VentAI avoided high (>55%) FiO2 values (59.8% decrease), while preferring the range of 50–55% (140.3% increase). In conclusion, VentAI provides reproducible high performance by dynamically choosing an optimized, individualized ventilation strategy and thus might be of benefit for critically ill patients.
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Affiliation(s)
- Arne Peine
- Department of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Pauwelsstreet 30, Aachen, Germany
| | - Ahmed Hallawa
- Department of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Pauwelsstreet 30, Aachen, Germany.,Chair for Integrated Signal Processing Systems, RWTH Aachen University, Kopernikusstreet 16, Aachen, Germany
| | - Johannes Bickenbach
- Department of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Pauwelsstreet 30, Aachen, Germany
| | - Guido Dartmann
- Environmental Campus Birkenfeld, Trier University of Applied Sciences, Schneidershof, Trier, Germany
| | - Lejla Begic Fazlic
- Environmental Campus Birkenfeld, Trier University of Applied Sciences, Schneidershof, Trier, Germany
| | - Anke Schmeink
- Research Area Information Theory and Systematic Design of Communication Systems, RWTH Aachen University, Kopernikusstreet 16, Aachen, Germany
| | - Gerd Ascheid
- Chair for Integrated Signal Processing Systems, RWTH Aachen University, Kopernikusstreet 16, Aachen, Germany
| | - Christoph Thiemermann
- William Harvey Research Institute, Queen Mary University London, Charterhouse Square, London, United Kingdom
| | - Andreas Schuppert
- Joint Research Center for Computational Biomedicine, RWTH Aachen University, Pauwelsstreet 30, Aachen, Germany
| | - Ryan Kindle
- Laboratory for Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA.,Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Leo Celi
- Laboratory for Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA.,Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA.,Department of Biostatistics Harvard T.H, Chan School of Public Health, Boston, MA, USA
| | - Gernot Marx
- Department of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Pauwelsstreet 30, Aachen, Germany
| | - Lukas Martin
- Department of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Pauwelsstreet 30, Aachen, Germany.
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Longobardo A, Snow TA, Tam K, Singer M, Bellingan G, Arulkumaran N. Non-specialist therapeutic strategies in acute respiratory distress syndrome. Minerva Anestesiol 2021; 87:803-816. [PMID: 33594874 DOI: 10.23736/s0375-9393.21.15254-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
INTRODUCTION Acute respiratory distress syndrome (ARDS) is associated with significant morbidity and mortality. We undertook a meta-analysis of randomized controlled trials (RCTs) to determine the mortality benefit of non-specialist therapeutic interventions for ARDS available to general critical care units. EVIDENCE ACQUISITION A systematic search of MEDLINE, Embase, and the Cochrane Central Register for RCTs investigating therapeutic interventions in ARDS including corticosteroids, fluid management strategy, high PEEP, low tidal volume ventilation, neuromuscular blockade, prone position ventilation, or recruitment maneuvers. Data was collected on demographic information, treatment strategy, duration and dose of treatment, and primary (28 or 30-day mortality) and secondary (P<inf>a</inf>O<inf>2</inf>:FiO<inf>2</inf> ratio at 24-48 hours) outcomes. EVIDENCE SYNTHESIS No improvement in 28-day mortality could be demonstrated in three RCTs investigating high PEEP (28.0% vs. 30.2% control; risk ratio [confidence interval] 0.93 [0.82-1.06]; eight assessing prone position ventilation (39.3% vs. 44.5%; RR 0.83 [0.68-1.01]; seven investigating neuromuscular blockade (37.8% vs. 42.0%; RR 0.91 [0.81-1.03]); ten investigating recruitment maneuvers (42.4% vs. 42.1%; RR 1.01 [0.91-1.12]); eight investigating steroids (34.8% vs. 41.1%; RR 0.81 [0.59-1.12]); and one investigating conservative fluid strategies (25.4% vs. 28.4%; RR 0.90 [0.73-1.10]). Three studies assessing low tidal volume ventilation (33.1% vs. 41.9%; RR 0.79 (0.68-0.91); P=0.001), and subgroup analyses within studies investigating prone position ventilation greater than 12 hours (33.1% vs. 44.4%; RR 0.75 [0.59-0.95), P=0.02) did reveal outcome benefit. CONCLUSIONS Among non-specialist therapeutic strategies available to general critical care units, low tidal volumes and prone position ventilation for greater than 12 hours improve mortality in ARDS.
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Affiliation(s)
- Alessia Longobardo
- Bloomsbury Institute of Intensive Care Medicine, University College London, London, UK
| | - Timothy A Snow
- Bloomsbury Institute of Intensive Care Medicine, University College London, London, UK - .,Royal Free Perioperative Research Group, Royal Free Hospital, London, UK
| | - Karen Tam
- Bloomsbury Institute of Intensive Care Medicine, University College London, London, UK
| | - Mervyn Singer
- Bloomsbury Institute of Intensive Care Medicine, University College London, London, UK
| | - Geoff Bellingan
- Bloomsbury Institute of Intensive Care Medicine, University College London, London, UK
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Abstract
Acute Respiratory Distress Syndrome (ARDS) is defined as the rapid onset of non-cardiogenic pulmonary edema resulting in respiratory failure and hypoxemia. Efforts over the past 25 years, such as those of the ARDS and Prevention and Early Treatment of Acute Lung Injury (PETAL) Networks, have demonstrated a praiseworthy collaboration to further optimize the management of ARDS. However, improvements have been only moderate and ARDS remains a leading cause of mortality in the perioperative and critical care setting. Recently, the significant morbidity and mortality of ARDS have been emphasized by its high incidence in Coronavirus Disease 2019 (COVID-19) patients. A major hurdle to reducing ARDS mortality is that current treatment is limited to preventive measures – such as the use of lung-protective ventilation. Therapeutic approaches targeting the underlying inflammatory lung disease are areas of intensive research, but have not been clinically implemented. Nevertheless, basic science and clinical research efforts that are aimed at identifying novel treatment approaches and further improving outcomes for ARDS are ongoing. Here, we review evidence-based management approaches for ARDS, while highlighting those being investigated or heavily utilized in ARDS associated with COVID-19. Acute Respiratory Distress Syndrome remains a condition that carries a high mortality. Evidence-based clinical management and emerging concepts for new therapies for COVID-19 are reviewed.
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Affiliation(s)
- George W. Williams
- Department of Anesthesiology, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Nathaniel K. Berg
- Department of Anesthesiology, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Alexander Reskallah
- Department of Anesthesiology, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Xiaoyi Yuan
- Department of Anesthesiology, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
| | - Holger K. Eltzschig
- Department of Anesthesiology, University of Texas Health Science Center at Houston, McGovern Medical School, Houston, TX, USA
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Ding H, Li Y, Li X, Liu X, Chen S, Liu M, Zeng H. Treatment with 7% and 10% CO 2 enhanced expression of IL-1β, TNF-α, and IL-6 in hypoxic cultures of human whole blood. J Int Med Res 2021; 48:300060520912105. [PMID: 32264730 PMCID: PMC7144675 DOI: 10.1177/0300060520912105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Objective This study investigated whether hypercapnia influenced the inflammatory response of hypoxic blood. Methods Human whole blood was cultured with 0.2% oxygen (O2) and treated with 5%, 7%, or 10% carbon dioxide (CO2). Interleukin (IL)-1β, tumor necrosis factor (TNF)-α, and IL-6 were evaluated in whole blood cultures. Reactive oxygen species (ROS) production and expression levels of caspase-1 and IL-1β were evaluated in THP-1 monocytic cells. Results IL-1β, TNF-α, and IL-6 levels were higher in the hypoxia + 7% CO2 group than in the hypoxia + 5% CO2 group. The hypoxia + 10% CO2 group had the highest IL-1β, TNF-α, and IL-6 levels, compared with the hypoxia + 7% CO2 and hypoxia + 5% CO2 groups. Expression levels of IL-1β, TNF-α, and IL-6 were significantly negatively correlated with pH levels in the cell culture medium. Treatment with 7% and 10% CO2 increased the production of ROS and the expression of caspase-1 and IL-1β in hypoxia-activated THP-1 cells. Conclusions High levels of CO2 treatment increased expression levels of IL-1β, TNF-α, and IL-6 in hypoxic whole blood cultures. High levels of CO2-induced ROS overproduction and NLRP3 inflammasome activation in monocytes may comprise a target to mitigate the inflammatory response of hypoxic blood.
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Affiliation(s)
- Hongguang Ding
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Ya Li
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.,School of Medicine, South China University of Technology, Guangzhou, China
| | - Xusheng Li
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Xinqiang Liu
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Shenglong Chen
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Mengting Liu
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Hongke Zeng
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
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Yasuda H, Sanui M, Nishimura T, Kamo T, Nango E, Abe T, Roberts R, Takebayashi T, Hashimoto S, Lefor AK. Optimal Upper Limits of Plateau Pressure for Patients With Acute Respiratory Distress Syndrome During the First Seven Days: A Meta-Regression Analysis. J Clin Med Res 2021; 13:48-63. [PMID: 33613800 PMCID: PMC7869567 DOI: 10.14740/jocmr4390] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 12/08/2020] [Indexed: 12/18/2022] Open
Abstract
Background The effects of plateau pressure during the initial days of mechanical ventilation on outcomes for patients with acute respiratory distress syndrome have not been fully examined. We conducted meta-regression analysis of plateau pressure during the first 7 days using randomized control trials to investigate the optimal upper limits of plateau pressure on different days of mechanical ventilation. Methods Randomized controlled trials comparing two mechanical ventilation strategies with lower and higher plateau pressures in patients with acute respiratory distress syndrome were included. Meta-regression analysis was performed to determine the association of plateau pressure with mortality on days 1, 3, and 7 of mechanical ventilation. Results After evaluation of 2,975 citations from a comprehensive search across electronic databases, 14 studies were included in the final qualitative analysis. A total of 4,984 patients were included in the quantitative analysis. As a result of the pairwise comparison, overall short-term mortality was significantly higher for patients with plateau pressures over 32 cm H2O during the first 3 days after intensive care unit (ICU) admission (day 1: relative risk (RR), 0.77; 95% confidence interval (CI), 0.66 - 0.89; I2 = 0%; day 3: RR, 0.76; 95% CI, 0.64 - 0.90; I2 = 0%), but not on day 7 (RR, 0.82; 95% CI, 0.65 - 1.04; I2 = 16%). Plateau pressures below 27 cm H2O and 30 cm H2O were not associated with an absolute risk reduction of short-term mortality. According to univariable meta-regression analysis, mortality was significantly associated with plateau pressure on day 1 (β = 0.01 (95% CI, 0.002 - 0.024), P = 0.02). On days 3 and 7, however, no significant difference was detected. When the cutoffs were set at 27, 30 and 32 cm H2O on day 1, which showed a significant difference, plateau pressure tended to be associated with increased mortality at pressures above the cut-off values, and there were no significant differences at pressures below the cut-off values, regardless of the cutoff used. Conclusions This study suggests that the optimal cut-off value for plateau pressure may be 27 cm H2O especially during the initial period of mechanical ventilation, although this association may not continue during the latter period of mechanical ventilation.
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Affiliation(s)
- Hideto Yasuda
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, 1-847 Amanuma-cho, Omiya-ku, Saitama-shi, Saitama 330-8503, Japan.,Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Masamitsu Sanui
- Department of Anesthesiology and Critical Care Medicine, Jichi Medical University Saitama Medical Center, 1-847 Amanuma-cho, Omiya-ku, Saitama-shi, Saitama 330-8503, Japan
| | - Tetsuro Nishimura
- Department of Traumatology and Critical Care Medicine, Osaka City University Graduate School of Medicine, 1-4-3 Asahi-machi, Abeno-ku, Osaka-City, Osaka 545-8585, Japan
| | - Tetsuro Kamo
- Department of Respiratory Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Eishu Nango
- Department of Family Medicine, JCHO Tokyo Joto Hospital, 9-13-1, Kameido, Koutou-ku, Tokyo 136-0071, Japan
| | - Takayuki Abe
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan.,Biostatistics Unit at Clinical and Translational Research Center, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Rachel Roberts
- Biostatistics Unit at Clinical and Translational Research Center, Keio University Hospital, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Toru Takebayashi
- Department of Preventive Medicine and Public Health, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Satoru Hashimoto
- Department of Anesthesiology and Intensive Care, Kyoto Prefectural University of Medicine, 465 Kajii-cho, Kawaramachi-Hirokoji, Kamigyo-ku, Kyoto-shi, Kyoto 602-8566, Japan
| | - Alan Kawarai Lefor
- Department of Surgery, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke-shi, Tochigi-ken 329-0498, Japan
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Abstract
Purpose of Review Knowledge of ventilator waveforms is important for clinicians working with children requiring mechanical ventilation. This review covers the basics of how to interpret and use data from ventilator waveforms in the pediatric intensive care unit. Recent Findings Patient-ventilator asynchrony (PVA) is a common finding in pediatric patients and observed in approximately one-third of ventilator breaths. PVA is associated with worse outcomes including increased length of mechanical ventilation, increased length of stay, and increased mortality. Identification of PVA is possible with a thorough knowledge of ventilator waveforms. Summary Ventilator waveforms are graphical descriptions of how a breath is delivered to a patient. These include three scalars (flow versus time, volume versus time, and pressure versus time) and two loops (pressure-volume and flow-volume). Thorough understanding of both scalars and loops, and their characteristic appearances, is essential to being able to evaluate a patient’s respiratory mechanics and interaction with the ventilator.
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Affiliation(s)
- Elizabeth Emrath
- Department of Pediatrics, Division of Pediatric Critical Care Medicine, Medical University of South Carolina, 125 Doughty Street, MSC 917, Charleston, SC 29425 USA
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48
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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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Ball L, Serpa Neto A, Trifiletti V, Mandelli M, Firpo I, Robba C, Gama de Abreu M, Schultz MJ, Patroniti N, Rocco PRM, Pelosi P. Effects of higher PEEP and recruitment manoeuvres on mortality in patients with ARDS: a systematic review, meta-analysis, meta-regression and trial sequential analysis of randomized controlled trials. Intensive Care Med Exp 2020; 8:39. [PMID: 33336325 PMCID: PMC7746429 DOI: 10.1186/s40635-020-00322-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 07/08/2020] [Indexed: 12/17/2022] Open
Abstract
Purpose In patients with acute respiratory distress syndrome (ARDS), lung recruitment could be maximised with the use of recruitment manoeuvres (RM) or applying a positive end-expiratory pressure (PEEP) higher than what is necessary to maintain minimal adequate oxygenation. We aimed to determine whether ventilation strategies using higher PEEP and/or RMs could decrease mortality in patients with ARDS. Methods We searched MEDLINE, EMBASE and CENTRAL from 1996 to December 2019, included randomized controlled trials comparing ventilation with higher PEEP and/or RMs to strategies with lower PEEP and no RMs in patients with ARDS. We computed pooled estimates with a DerSimonian-Laird mixed-effects model, assessing mortality and incidence of barotrauma, population characteristics, physiologic variables and ventilator settings. We performed a trial sequential analysis (TSA) and a meta-regression. Results Excluding two studies that used tidal volume (VT) reduction as co-intervention, we included 3870 patients from 10 trials using higher PEEP alone (n = 3), combined with RMs (n = 6) or RMs alone (n = 1). We did not observe differences in mortality (relative risk, RR 0.96, 95% confidence interval, CI [0.84–1.09], p = 0.50) nor in incidence of barotrauma (RR 1.22, 95% CI [0.93–1.61], p = 0.16). In the meta-regression, the PEEP difference between intervention and control group at day 1 and the use of RMs were not associated with increased risk of barotrauma. The TSA reached the required information size for mortality (n = 2928), and the z-line surpassed the futility boundary. Conclusions At low VT, the routine use of higher PEEP and/or RMs did not reduce mortality in unselected patients with ARDS. Trial registration PROSPERO CRD42017082035.
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Affiliation(s)
- Lorenzo Ball
- Department of Surgical Sciences and Integrated Diagnostics, University of Genova, Largo Rosanna Benzi 8, 16131, Genova, Italy. .,Anesthesia and Intensive Care, Ospedale Policlinico San Martino IRCCS per l'Oncologia e le Neuroscienze, Genova, Italy. .,Department of Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.
| | - Ary Serpa Neto
- Department of Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.,Department of Critical Care Medicine, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Valeria Trifiletti
- Department of Surgical Sciences and Integrated Diagnostics, University of Genova, Largo Rosanna Benzi 8, 16131, Genova, Italy
| | - Maura Mandelli
- Department of Surgical Sciences and Integrated Diagnostics, University of Genova, Largo Rosanna Benzi 8, 16131, Genova, Italy
| | - Iacopo Firpo
- Department of Surgical Sciences and Integrated Diagnostics, University of Genova, Largo Rosanna Benzi 8, 16131, Genova, Italy
| | - Chiara Robba
- Anesthesia and Intensive Care, Ospedale Policlinico San Martino IRCCS per l'Oncologia e le Neuroscienze, Genova, Italy
| | - Marcelo Gama de Abreu
- Pulmonary Engineering Group, Department of Anaesthesiology and Intensive Care Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Marcus J Schultz
- Department of Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.,Mahidol Oxford Tropical Medicine Research Unit (MORU), Mahidol University, Bangkok, Thailand.,Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Nicolò Patroniti
- Department of Surgical Sciences and Integrated Diagnostics, University of Genova, Largo Rosanna Benzi 8, 16131, Genova, Italy.,Anesthesia and Intensive Care, Ospedale Policlinico San Martino IRCCS per l'Oncologia e le Neuroscienze, Genova, Italy
| | - Patricia R M Rocco
- Laboratory of Pulmonary Investigation, Carlos Chagas Filho Institute of Biophysics, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Paolo Pelosi
- Department of Surgical Sciences and Integrated Diagnostics, University of Genova, Largo Rosanna Benzi 8, 16131, Genova, Italy.,Anesthesia and Intensive Care, Ospedale Policlinico San Martino IRCCS per l'Oncologia e le Neuroscienze, Genova, Italy
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50
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Simonis FD, Schouten LRA, Cremer OL, Ong DSY, Amoruso G, Cinella G, Schultz MJ, Bos LD. Prognostic classification based on P/F and PEEP in invasively ventilated ICU patients with hypoxemia-insights from the MARS study. Intensive Care Med Exp 2020; 8:43. [PMID: 33336322 PMCID: PMC7746417 DOI: 10.1186/s40635-020-00334-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 07/23/2020] [Indexed: 12/15/2022] Open
Abstract
Background Outcome prediction in patients with acute respiratory distress syndrome (ARDS) greatly improves when patients are reclassified based on predefined arterial oxygen partial pressure to fractional inspired oxygen ratios (PaO2/FiO2) and positive end–expiratory pressure (PEEP) cutoffs 24 h after the initial ARDS diagnosis. The aim of this study was to test whether outcome prediction improves when patients are reclassified based on predefined PaO2/FiO2 and PEEP cutoffs 24 h after development of mild hypoxemia while not having ARDS. Methods Post hoc analysis of a large prospective, multicenter, observational study that ran in the ICUs of two academic hospitals in the Netherlands between January 2011 and December 2013. Patients were classified into four groups using predefined cutoffs for PaO2/FiO2 (250 mmHg) and PEEP (5 cm H2O), both at onset of hypoxemia and after 24 h: PaO2/FiO2 ≥ 250 mmHg and PEEP < 6 cm H2O (group I), PaO2/FiO2 ≥ 250 mmHg and PEEP ≥ 6 cm H2O (group II), PaO2/FiO2 < 250 mmHg and PEEP < 6 cm H2O (group III), and PaO2/FiO2 < 250 mmHg and PEEP ≥ 6 cm H2O (group IV), to look for trend association with all-cause in-hospital mortality, the primary outcome. Secondary outcome were ICU- and 90-day mortality, and the number of ventilator-free days or ICU-free days and alive at day 28. Results The analysis included 689 consecutive patients. All-cause in-hospital mortality was 35%. There was minimal variation in mortality between the four groups at onset of hypoxemia (33, 36, 38, and 34% in groups I to IV, respectively; P = 0.65). Reclassification after 24 h resulted in a strong trend with increasing mortality from group I to group IV (31, 31, 37, and 48% in groups I to IV, respectively; P < 0.01). Similar trends were found for the secondary endpoints. Conclusions Reclassification using PaO2/FiO2 and PEEP cutoffs after 24 h improved classification for outcome in invasively ventilated ICU patients with hypoxemia not explained by ARDS, compared to classification at onset of hypoxemia. Trial registration ClinicalTrials.gov identifier: NCT01905033. Registered on July 11, 2013. Retrospectively registered.
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Affiliation(s)
- Fabienne D Simonis
- Department of Intensive Care, Amsterdam University Medical Centers, location AMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands.
| | - Laura R A Schouten
- Department of Intensive Care, Amsterdam University Medical Centers, location AMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands
| | - Olaf L Cremer
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - David S Y Ong
- Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Medical Microbiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Gabriele Amoruso
- Department of Anesthesia and Intensive Care, University of Foggia, Foggia, Italy
| | - Gilda Cinella
- Department of Anesthesia and Intensive Care, University of Foggia, Foggia, Italy
| | - Marcus J Schultz
- Department of Intensive Care, Amsterdam University Medical Centers, location AMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands.,Laboratory of Experimental Intensive Care & Anesthesiology (L·E·I·C·A), Amsterdam University Medical Centers, 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
| | - Lieuwe D Bos
- Department of Intensive Care, Amsterdam University Medical Centers, location AMC, University of Amsterdam, Meibergdreef 9, 1105, AZ, Amsterdam, The Netherlands.,Department of Pulmonology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
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