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Saner FH, Hoyer DP, Hartmann M, Nowak KM, Bezinover D. The Edge of Unknown: Postoperative Critical Care in Liver Transplantation. J Clin Med 2022; 11:jcm11144036. [PMID: 35887797 PMCID: PMC9322367 DOI: 10.3390/jcm11144036] [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: 06/10/2022] [Revised: 06/29/2022] [Accepted: 07/07/2022] [Indexed: 02/04/2023] Open
Abstract
Perioperative care of patients undergoing liver transplantation (LT) is very complex. Metabolic derangements, hypothermia, coagulopathy and thromboses, severe infections, and graft dysfunction can affect outcomes. In this manuscript, we discuss several perioperative problems that can be encountered in LT recipients. The authors present the most up-to-date information regarding predicting and treating hemodynamic instability, coagulation monitoring and management, postoperative ventilation strategies and early extubation, management of infections, and ESLD-related pulmonary complications. In addition, early post-transplant allograft dysfunction will be discussed.
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Affiliation(s)
- Fuat H. Saner
- Department of General-, Visceral- and Transplant Surgery, Medical Center University Duisburg-Essen, 45147 Essen, Germany; (D.P.H.); (K.M.N.)
- Correspondence: ; Fax: +49-201-723-1145
| | - Dieter P. Hoyer
- Department of General-, Visceral- and Transplant Surgery, Medical Center University Duisburg-Essen, 45147 Essen, Germany; (D.P.H.); (K.M.N.)
| | - Matthias Hartmann
- Department of Anaesthesia and Critical Care, Medical Center University Duisburg-Essen, 45147 Essen, Germany;
| | - Knut M. Nowak
- Department of General-, Visceral- and Transplant Surgery, Medical Center University Duisburg-Essen, 45147 Essen, Germany; (D.P.H.); (K.M.N.)
| | - Dmitri Bezinover
- Department of Anesthesiology and Perioperative Medicine, Penn State Hershey Medical Center, Penn State College of Medicine, Hershey, PA 17033, USA;
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Ranieri VM, Tonetti T, Navalesi P, Nava S, Antonelli M, Pesenti A, Grasselli G, Grieco DL, Menga LS, Pisani L, Boscolo A, Sella N, Pasin L, Mega C, Pizzilli G, Dell’Olio A, Dongilli R, Rucci P, Slutsky AS. High-Flow Nasal Oxygen for Severe Hypoxemia: Oxygenation Response and Outcome in Patients with COVID-19. Am J Respir Crit Care Med 2022; 205:431-439. [PMID: 34861135 PMCID: PMC8886947 DOI: 10.1164/rccm.202109-2163oc] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 12/03/2021] [Indexed: 11/16/2022] Open
Abstract
Rationale: The "Berlin definition" of acute respiratory distress syndrome (ARDS) does not allow inclusion of patients receiving high-flow nasal oxygen (HFNO). However, several articles have proposed that criteria for defining ARDS should be broadened to allow inclusion of patients receiving HFNO. Objectives: To compare the proportion of patients fulfilling ARDS criteria during HFNO and soon after intubation, and 28-day mortality between patients treated exclusively with HFNO and patients transitioned from HFNO to invasive mechanical ventilation (IMV). Methods: From previously published studies, we analyzed patients with coronavirus disease (COVID-19) who had PaO2/FiO2 of ⩽300 while treated with ⩾40 L/min HFNO, or noninvasive ventilation (NIV) with positive end-expiratory pressure of ⩾5 cm H2O (comparator). In patients transitioned from HFNO/NIV to invasive mechanical ventilation (IMV), we compared ARDS severity during HFNO/NIV and soon after IMV. We compared 28-day mortality in patients treated exclusively with HFNO/NIV versus patients transitioned to IMV. Measurements and Main Results: We analyzed 184 and 131 patients receiving HFNO or NIV, respectively. A total of 112 HFNO and 69 NIV patients transitioned to IMV. Of those, 104 (92.9%) patients on HFNO and 66 (95.7%) on NIV continued to have PaO2/FiO2 ⩽300 under IMV. Twenty-eight-day mortality in patients who remained on HFNO was 4.2% (3/72), whereas in patients transitioned from HFNO to IMV, it was 28.6% (32/112) (P < 0.001). Twenty-eight-day mortality in patients who remained on NIV was 1.6% (1/62), whereas in patients who transitioned from NIV to IMV, it was 44.9% (31/69) (P < 0.001). Overall mortality was 19.0% (35/184) and 24.4% (32/131) for HFNO and NIV, respectively (P = 0.2479). Conclusions: Broadening the ARDS definition to include patients on HFNO with PaO2/FiO2 ⩽300 may identify patients at earlier stages of disease but with lower mortality.
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Affiliation(s)
- V. Marco Ranieri
- Department of Medical and Surgical Sciences
- Anesthesia and Intensive Care Medicine and
| | - Tommaso Tonetti
- Department of Medical and Surgical Sciences
- Anesthesia and Intensive Care Medicine and
| | - Paolo Navalesi
- Department of Medicine, University of Padova
, Padua, Italy
- Institute of Anesthesia and Intensive Care, Padova University Hospital, Padua, Italy
| | - Stefano Nava
- Department of Experimental, Diagnostic and Specialty Medicine
, and
- Pneumology and Respiratory Critical Care, Sant’Orsola Research Hospital IRCCS, Bologna, Italy
| | - Massimo Antonelli
- Department of Anesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
- Anesthesia and Intensive Care, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Antonio Pesenti
- Department of Pathophysiology and Transplantation University of Milan
, Milan, Italy
- Anesthesia and Critical Care, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giacomo Grasselli
- Department of Pathophysiology and Transplantation University of Milan
, Milan, Italy
- Anesthesia and Critical Care, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Domenico Luca Grieco
- Department of Anesthesiology and Intensive Care Medicine, Università Cattolica del Sacro Cuore, Rome, Italy
- Anesthesia and Intensive Care, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Luca Salvatore Menga
- Anesthesia and Intensive Care, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Lara Pisani
- Department of Experimental, Diagnostic and Specialty Medicine
, and
- Pneumology and Respiratory Critical Care, Sant’Orsola Research Hospital IRCCS, Bologna, Italy
| | - Annalisa Boscolo
- Institute of Anesthesia and Intensive Care, Padova University Hospital, Padua, Italy
| | - Nicolò Sella
- Department of Medicine, University of Padova
, Padua, Italy
- Institute of Anesthesia and Intensive Care, Padova University Hospital, Padua, Italy
| | - Laura Pasin
- Institute of Anesthesia and Intensive Care, Padova University Hospital, Padua, Italy
| | - Chiara Mega
- Department of Medical and Surgical Sciences
- Anesthesia and Intensive Care Medicine and
| | | | | | - Roberto Dongilli
- Division of Respiratory Diseases with Intermediate Respiratory Intensive Care Units, Central Hospital of Bolzano, Bolzano, Italy; and
| | - Paola Rucci
- Statistics and Epidemiology, Department of Biomedical and Neuromotor Sciences, Alma Mater Studiorum–University of Bologna
, Bologna, Italy
| | - Arthur S. Slutsky
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, University of Toronto, Toronto, Canada
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Maley JH, Thompson BT. Embracing the Heterogeneity of ARDS. Chest 2019; 155:453-455. [PMID: 30846060 DOI: 10.1016/j.chest.2018.11.016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Revised: 11/15/2018] [Accepted: 11/19/2018] [Indexed: 12/12/2022] Open
Affiliation(s)
- Jason H Maley
- Division of Pulmonary, and Critical Care, Department of Medicine, Massachusetts General Hospital, Boston, MA
| | - B Taylor Thompson
- Division of Pulmonary, and Critical Care, Department of Medicine, Massachusetts General Hospital, Boston, MA.
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Villar J, Blanco J, del Campo R, Andaluz-Ojeda D, Díaz-Domínguez FJ, Muriel A, Córcoles V, Suárez-Sipmann F, Tarancón C, González-Higueras E, López J, Blanch L, Pérez-Méndez L, Fernández RL, Kacmarek RM. Assessment of PaO₂/FiO₂ for stratification of patients with moderate and severe acute respiratory distress syndrome. BMJ Open 2015; 5:e006812. [PMID: 25818272 PMCID: PMC4386240 DOI: 10.1136/bmjopen-2014-006812] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
OBJECTIVES A recent update of the definition of acute respiratory distress syndrome (ARDS) proposed an empirical classification based on ratio of arterial partial pressure of oxygen to fraction of inspired oxygen (PaO₂/FiO₂) at ARDS onset. Since the proposal did not mandate PaO₂/FiO₂ calculation under standardised ventilator settings (SVS), we hypothesised that a stratification based on baseline PaO₂/FiOv would not provide accurate assessment of lung injury severity. DESIGN A prospective, multicentre, observational study. SETTING A network of teaching hospitals. PARTICIPANTS 478 patients with eligible criteria for moderate (100<PaO₂/FiO₂≤200) and severe (PaO₂/FiO₂≤100) ARDS and followed until hospital discharge. INTERVENTIONS We examined physiological and ventilator parameters in association with the PaO₂/FiO₂ at ARDS onset, after 24 h of usual care and at 24 h under a SVS. At 24 h, patients were reclassified as severe, moderate, mild (200<PaO₂/FiO₂≤300) ARDS and non-ARDS (PaO₂/FiO₂>300). PRIMARY AND SECONDARY OUTCOMES Group severity and hospital mortality. RESULTS At ARDS onset, 173 patients had a PaO₂/FiO₂≤100 but only 38.7% met criteria for severe ARDS at 24 h under SVS. When assessed under SVS, 61.3% of patients with severe ARDS were reclassified as moderate, mild and non-ARDS, while lung severity and hospital mortality changed markedly with every PaO₂/FiO₂ category (p<0.000001). Our model of risk stratification outperformed the stratification using baseline PaO₂/FiO₂ and non-standardised PaO₂/FiO₂ at 24 h, when analysed by the predictive receiver operating characteristic (ROC) curve: area under the ROC curve for stratification at baseline was 0.583 (95% CI 0.525 to 0.636), 0.605 (95% CI 0.552 to 0.658) at 24 h without SVS and 0.693 (95% CI 0.645 to 0.742) at 24 h under SVS (p<0.000001). CONCLUSIONS Our findings support the need for patient assessment under SVS at 24 h after ARDS onset to assess disease severity, and have implications for the diagnosis and management of ARDS patients. TRIAL REGISTRATION NUMBERS NCT00435110 and NCT00736892.
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Affiliation(s)
- Jesús Villar
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Multidisciplinary Organ Dysfunction Evaluation Research Network, Research Unit, Hospital Universitario Dr Negrín, Las Palmas, Spain
| | - Jesús Blanco
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Intensive Care Unit, Hospital Universitario Río Hortega, Valladolid, Spain
| | - Rafael del Campo
- Intensive Care Unit, Hospital General de Ciudad Real, Ciudad Real, Spain
| | - David Andaluz-Ojeda
- Intensive Care Unit, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | | | - Arturo Muriel
- Intensive Care Unit, Hospital Universitario Río Hortega, Valladolid, Spain
| | - Virgilio Córcoles
- Intensive Care Unit, Complejo Hospitalario Universitario de Albacete, Albacete, Spain
| | - Fernando Suárez-Sipmann
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Department of Surgical Sciences, Anesthesiology & Critical Care, Hedenstierna Laboratory, Uppsala University Hospital, Uppsala, Sweden
| | | | | | - Julia López
- Intensive Care Unit, Hospital Universitario La Paz, Madrid, Spain
| | - Lluis Blanch
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Critical Care Center, Corporació Sanitaria Parc Taulí, Sabadell, Spain
| | - Lina Pérez-Méndez
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Research Unit, Hospital Universitario NS de Candelaria, Tenerife, Spain
| | - Rosa Lidia Fernández
- CIBER de Enfermedades Respiratorias, Instituto de Salud Carlos III, Madrid, Spain
- Multidisciplinary Organ Dysfunction Evaluation Research Network, Research Unit, Hospital Universitario Dr Negrín, Las Palmas, Spain
| | - Robert M Kacmarek
- Department of Respiratory Care, Massachusetts General Hospital, Boston, Massachusetts, USA
- Department of Anesthesiology, Harvard University, Boston, Massachusetts, USA
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