1,010 results on '"McAuley, Daniel F"'
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2. TRPV2 modulates mechanically Induced ATP Release from Human bronchial epithelial cells
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Dunne, Orla M., Martin, S. Lorraine, Sergeant, Gerard P., McAuley, Daniel F., O’Kane, Cecilia M., Button, Brian, McGarvey, Lorcan P., and Lundy, Fionnuala T.
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- 2024
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3. Vascular leak in sepsis: physiological basis and potential therapeutic advances
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McMullan, Ross R., McAuley, Daniel F., O’Kane, Cecilia M., and Silversides, Jonathan A.
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- 2024
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4. Initiation of continuous renal replacement therapy versus intermittent hemodialysis in critically ill patients with severe acute kidney injury: a secondary analysis of STARRT-AKI trial
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Wald, Ron, Gaudry, Stephane, da Costa, Bruno R., Adhikari, Neill K. J., Bellomo, Rinaldo, Du, Bin, Gallagher, Martin P., Hoste, Eric A., Lamontagne, François, Joannidis, Michael, Liu, Kathleen D., McAuley, Daniel F., McGuinness, Shay P., Nichol, Alistair D., Ostermann, Marlies, Palevsky, Paul M., Qiu, Haibo, Pettilä, Ville, Schneider, Antoine G., Smith, Orla M., Vaara, Suvi T., Weir, Matthew, Dreyfuss, Didier, and Bagshaw, Sean M.
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- 2023
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5. Opioid, sedative, preadmission medication and iatrogenic withdrawal risk in UK adult critically ill patients: a point prevalence study
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Eadie, Rebekah, McKenzie, Cathrine A., Hadfield, Daniel, Kalk, Nicola J., Bolesta, Scott, Dempster, Martin, McAuley, Daniel F., and Blackwood, Bronagh
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- 2023
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6. ESICM guidelines on acute respiratory distress syndrome: definition, phenotyping and respiratory support strategies
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Grasselli, Giacomo, Calfee, Carolyn S., Camporota, Luigi, Poole, Daniele, Amato, Marcelo B. P., Antonelli, Massimo, Arabi, Yaseen M., Baroncelli, Francesca, Beitler, Jeremy R., Bellani, Giacomo, Bellingan, Geoff, Blackwood, Bronagh, Bos, Lieuwe D. J., Brochard, Laurent, Brodie, Daniel, Burns, Karen E. A., Combes, Alain, D’Arrigo, Sonia, De Backer, Daniel, Demoule, Alexandre, Einav, Sharon, Fan, Eddy, Ferguson, Niall D., Frat, Jean-Pierre, Gattinoni, Luciano, Guérin, Claude, Herridge, Margaret S., Hodgson, Carol, Hough, Catherine L., Jaber, Samir, Juffermans, Nicole P., Karagiannidis, Christian, Kesecioglu, Jozef, Kwizera, Arthur, Laffey, John G., Mancebo, Jordi, Matthay, Michael A., McAuley, Daniel F., Mercat, Alain, Meyer, Nuala J., Moss, Marc, Munshi, Laveena, Myatra, Sheila N., Ng Gong, Michelle, Papazian, Laurent, Patel, Bhakti K., Pellegrini, Mariangela, Perner, Anders, Pesenti, Antonio, Piquilloud, Lise, Qiu, Haibo, Ranieri, Marco V., Riviello, Elisabeth, Slutsky, Arthur S., Stapleton, Renee D., Summers, Charlotte, Thompson, Taylor B., Valente Barbas, Carmen S., Villar, Jesús, Ware, Lorraine B., Weiss, Björn, Zampieri, Fernando G., Azoulay, Elie, and Cecconi, Maurizio
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- 2023
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7. Physiologic Determinants of Near-Infrared Spectroscopy-Derived Cerebral and Tissue Oxygen Saturation Measurements in Critically Ill Patients
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Cody, Neil, Bradbury, Ian, McMullan, Ross R., Quinn, Gerard, O’Neill, Aisling, Ward, Kathryn, McCann, Justine, McAuley, Daniel F., and Silversides, Jonathan A.
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- 2024
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8. An International Survey of the Management of Atrial Fibrillation in Critically Unwell Patients
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Johnston, Brian W., Udy, Andrew A., McAuley, Daniel F., Mogk, Martin, Welters, Ingeborg D., and Sibley, Stephanie
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- 2024
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9. Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis
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Maddali, Manoj V, Churpek, Matthew, Pham, Tai, Rezoagli, Emanuele, Zhuo, Hanjing, Zhao, Wendi, He, June, Delucchi, Kevin L, Wang, Chunxue, Wickersham, Nancy, McNeil, J Brennan, Jauregui, Alejandra, Ke, Serena, Vessel, Kathryn, Gomez, Antonio, Hendrickson, Carolyn M, Kangelaris, Kirsten N, Sarma, Aartik, Leligdowicz, Aleksandra, Liu, Kathleen D, Matthay, Michael A, Ware, Lorraine B, Laffey, John G, Bellani, Giacomo, Calfee, Carolyn S, Sinha, Pratik, Rios, Fernando, Van Haren, Frank, Sottiaux, T, Lora, Fredy S, Azevedo, Luciano C, Depuydt, P, Fan, Eddy, Bugedo, Guillermo, Qiu, Haibo, Gonzalez, Marcos, Silesky, Juan, Cerny, Vladimir, Nielsen, Jonas, Jibaja, Manuel, Pham, Tài, Wrigge, Hermann, Matamis, Dimitrios, Ranero, Jorge Luis, Hashemian, SM, Amin, Pravin, Clarkson, Kevin, Kurahashi, Kiyoyasu, Villagomez, Asisclo, Zeggwagh, Amine Ali, Heunks, Leo M, Laake, Jon Henrik, Palo, Jose Emmanuel, do Vale Fernandes, Antero, Sandesc, Dorel, Arabi, Yaasen, Bumbasierevic, Vesna, Nin, Nicolas, Lorente, Jose A, Larsson, Anders, Piquilloud, Lise, Abroug, Fekri, McAuley, Daniel F, McNamee, Lia, Hurtado, Javier, Bajwa, Ed, Démpaire, Gabriel, Francois, Guy M, Sula, Hektor, Nunci, Lordian, Cani, Alma, Zazu, Alan, Dellera, Christian, Insaurralde, Carolina S, Alejandro, Risso V, Daldin, Julio, Vinzio, Mauricio, Fernandez, Ruben O, Cardonnet, Luis P, Bettini, Lisandro R, Bisso, Mariano Carboni, Osman, Emilio M, Setten, Mariano G, Lovazzano, Pablo, Alvarez, Javier, Villar, Veronica, Milstein, Cesar, Pozo, Norberto C, Grubissich, Nicolas, Plotnikow, Gustavo A, Vasquez, Daniela N, Ilutovich, Santiago, Tiribelli, Norberto, Chena, Ariel, Pellegrini, Carlos A, Saenz, María G, Estenssoro, Elisa, Brizuela, Matias, and Gianinetto, Hernan
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Lung ,Clinical Research ,Acute Respiratory Distress Syndrome ,Rare Diseases ,Respiratory ,Good Health and Well Being ,Acute Lung Injury ,Humans ,Machine Learning ,Positive-Pressure Respiration ,Respiratory Distress Syndrome ,Retrospective Studies ,LUNG SAFE Investigators and the ESICM Trials Group ,Clinical Sciences ,Public Health and Health Services ,Other Medical and Health Sciences - Abstract
BackgroundTwo acute respiratory distress syndrome (ARDS) subphenotypes (hyperinflammatory and hypoinflammatory) with distinct clinical and biological features and differential treatment responses have been identified using latent class analysis (LCA) in seven individual cohorts. To facilitate bedside identification of subphenotypes, clinical classifier models using readily available clinical variables have been described in four randomised controlled trials. We aimed to assess the performance of these models in observational cohorts of ARDS.MethodsIn this observational, multicohort, retrospective study, we validated two machine-learning clinical classifier models for assigning ARDS subphenotypes in two observational cohorts of patients with ARDS: Early Assessment of Renal and Lung Injury (EARLI; n=335) and Validating Acute Lung Injury Markers for Diagnosis (VALID; n=452), with LCA-derived subphenotypes as the gold standard. The primary model comprised only vital signs and laboratory variables, and the secondary model comprised all predictors in the primary model, with the addition of ventilatory variables and demographics. Model performance was assessed by calculating the area under the receiver operating characteristic curve (AUC) and calibration plots, and assigning subphenotypes using a probability cutoff value of 0·5 to determine sensitivity, specificity, and accuracy of the assignments. We also assessed the performance of the primary model in EARLI using data automatically extracted from an electronic health record (EHR; EHR-derived EARLI cohort). In Large Observational Study to Understand the Global Impact of Severe Acute Respiratory Failure (LUNG SAFE; n=2813), a multinational, observational ARDS cohort, we applied a custom classifier model (with fewer variables than the primary model) to determine the prognostic value of the subphenotypes and tested their interaction with the positive end-expiratory pressure (PEEP) strategy, with 90-day mortality as the dependent variable.FindingsThe primary clinical classifier model had an area under receiver operating characteristic curve (AUC) of 0·92 (95% CI 0·90-0·95) in EARLI and 0·88 (0·84-0·91) in VALID. Performance of the primary model was similar when using exclusively EHR-derived predictors compared with manually curated predictors (AUC=0·88 [95% CI 0·81-0·94] vs 0·92 [0·88-0·97]). In LUNG SAFE, 90-day mortality was higher in patients assigned the hyperinflammatory subphenotype than in those with the hypoinflammatory phenotype (414 [57%] of 725 vs 694 [33%] of 2088; p
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- 2022
10. A reply to analysis of static parameters in retrospective studies: limitations and interpretation
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McGuigan, Peter J., Giallongo, Elisa, Nichol, Alistair D., Skrifvars, Markus B., and McAuley, Daniel F.
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- 2023
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11. Effect of total cholesterol and statin therapy on mortality in ARDS patients: a secondary analysis of the SAILS and HARP-2 trials
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Pienkos, Shaun M., Moore, Andrew R., Guan, Jiazhen, Levitt, Joseph E., Matthay, Michael A., Baron, Rebecca M., Conlon, John, McAuley, Daniel F., O’Kane, Cecilia M., and Rogers, Angela J.
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- 2023
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12. Re-analysis of ventilator-free days (VFD) in acute respiratory distress syndrome (ARDS) studies
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Verghis, Rejina Mariam, McDowell, Cliona, Blackwood, Bronagh, Lee, Bohee, McAuley, Daniel F., and Clarke, Mike
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- 2023
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13. Advancing precision medicine for acute respiratory distress syndrome
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Beitler, Jeremy R, Thompson, B Taylor, Baron, Rebecca M, Bastarache, Julie A, Denlinger, Loren C, Esserman, Laura, Gong, Michelle N, LaVange, Lisa M, Lewis, Roger J, Marshall, John C, Martin, Thomas R, McAuley, Daniel F, Meyer, Nuala J, Moss, Marc, Reineck, Lora A, Rubin, Eileen, Schmidt, Eric P, Standiford, Theodore J, Ware, Lorraine B, Wong, Hector R, Aggarwal, Neil R, and Calfee, Carolyn S
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Biomedical and Clinical Sciences ,Clinical Sciences ,Rare Diseases ,Orphan Drug ,Lung ,Acute Respiratory Distress Syndrome ,Respiratory ,Good Health and Well Being ,COVID-19 ,Humans ,Precision Medicine ,Respiratory Distress Syndrome ,Public Health and Health Services ,Other Medical and Health Sciences ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome. Understanding of the complex pathways involved in lung injury pathogenesis, resolution, and repair has grown considerably in recent decades. Nevertheless, to date, only therapies targeting ventilation-induced lung injury have consistently proven beneficial, and despite these gains, ARDS morbidity and mortality remain high. Many candidate therapies with promise in preclinical studies have been ineffective in human trials, probably at least in part due to clinical and biological heterogeneity that modifies treatment responsiveness in human ARDS. A precision medicine approach to ARDS seeks to better account for this heterogeneity by matching therapies to subgroups of patients that are anticipated to be most likely to benefit, which initially might be identified in part by assessing for heterogeneity of treatment effect in clinical trials. In October 2019, the US National Heart, Lung, and Blood Institute convened a workshop of multidisciplinary experts to explore research opportunities and challenges for accelerating precision medicine in ARDS. Topics of discussion included the rationale and challenges for a precision medicine approach in ARDS, the roles of preclinical ARDS models in precision medicine, essential features of cohort studies to advance precision medicine, and novel approaches to clinical trials to support development and validation of a precision medicine strategy. In this Position Paper, we summarise workshop discussions, recommendations, and unresolved questions for advancing precision medicine in ARDS. Although the workshop took place before the COVID-19 pandemic began, the pandemic has highlighted the urgent need for precision therapies for ARDS as the global scientific community grapples with many of the key concepts, innovations, and challenges discussed at this workshop.
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- 2022
14. Promises and challenges of personalized medicine to guide ARDS therapy
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Wick, Katherine D, McAuley, Daniel F, Levitt, Joseph E, Beitler, Jeremy R, Annane, Djillali, Riviello, Elisabeth D, Calfee, Carolyn S, and Matthay, Michael A
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Rare Diseases ,Lung ,Acute Respiratory Distress Syndrome ,Good Health and Well Being ,COVID-19 ,Clinical Trials as Topic ,Humans ,Precision Medicine ,Respiratory Distress Syndrome ,Acute respiratory distress syndrome ,Acute lung injury ,Personalized medicine ,Clinical trials ,Medical and Health Sciences ,Emergency & Critical Care Medicine - Abstract
Identifying new effective treatments for the acute respiratory distress syndrome (ARDS), including COVID-19 ARDS, remains a challenge. The field of ARDS investigation is moving increasingly toward innovative approaches such as the personalization of therapy to biological and clinical sub-phenotypes. Additionally, there is growing recognition of the importance of the global context to identify effective ARDS treatments. This review highlights emerging opportunities and continued challenges for personalizing therapy for ARDS, from identifying treatable traits to innovative clinical trial design and recognition of patient-level factors as the field of critical care investigation moves forward into the twenty-first century.
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- 2021
15. Comparison of machine learning clustering algorithms for detecting heterogeneity of treatment effect in acute respiratory distress syndrome: A secondary analysis of three randomised controlled trials
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Sinha, Pratik, Spicer, Alexandra, Delucchi, Kevin L, McAuley, Daniel F, Calfee, Carolyn S, and Churpek, Matthew M
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Biomedical and Clinical Sciences ,Clinical Sciences ,Lung ,Clinical Research ,Rare Diseases ,Clinical Trials and Supportive Activities ,Good Health and Well Being ,Algorithms ,Bayes Theorem ,Cluster Analysis ,Humans ,Randomized Controlled Trials as Topic ,Respiratory Distress Syndrome ,Supervised Machine Learning ,Treatment Outcome ,Unsupervised Machine Learning ,ARDS ,RCTs ,Clustering ,machine learning ,LCA ,Heterogeneity of treatment effect ,Public Health and Health Services ,Clinical sciences ,Epidemiology - Abstract
BackgroundHeterogeneity in Acute Respiratory Distress Syndrome (ARDS), as a consequence of its non-specific definition, has led to a multitude of negative randomised controlled trials (RCTs). Investigators have sought to identify heterogeneity of treatment effect (HTE) in RCTs using clustering algorithms. We evaluated the proficiency of several commonly-used machine-learning algorithms to identify clusters where HTE may be detected.MethodsFive unsupervised: Latent class analysis (LCA), K-means, partition around medoids, hierarchical, and spectral clustering; and four supervised algorithms: model-based recursive partitioning, Causal Forest (CF), and X-learner with Random Forest (XL-RF) and Bayesian Additive Regression Trees were individually applied to three prior ARDS RCTs. Clinical data and research protein biomarkers were used as partitioning variables, with the latter excluded for secondary analyses. For a clustering schema, HTE was evaluated based on the interaction term of treatment group and cluster with day-90 mortality as the dependent variable.FindingsNo single algorithm identified clusters with significant HTE in all three trials. LCA, XL-RF, and CF identified HTE most frequently (2/3 RCTs). Important partitioning variables in the unsupervised approaches were consistent across algorithms and RCTs. In supervised models, important partitioning variables varied between algorithms and across RCTs. In algorithms where clusters demonstrated HTE in the same trial, patients frequently interchanged clusters from treatment-benefit to treatment-harm clusters across algorithms. LCA aside, results from all other algorithms were subject to significant alteration in cluster composition and HTE with random seed change. Removing research biomarkers as partitioning variables greatly reduced the chances of detecting HTE across all algorithms.InterpretationMachine-learning algorithms were inconsistent in their abilities to identify clusters with significant HTE. Protein biomarkers were essential in identifying clusters with HTE. Investigations using machine-learning approaches to identify clusters to seek HTE require cautious interpretation.FundingNIGMS R35 GM142992 (PS), NHLBI R35 HL140026 (CSC); NIGMS R01 GM123193, Department of Defense W81XWH-21-1-0009, NIA R21 AG068720, NIDA R01 DA051464 (MMC).
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- 2021
16. Regional Practice Variation and Outcomes in the Standard Versus Accelerated Initiation of Renal Replacement Therapy in Acute Kidney Injury (STARRT-AKI) Trial: A Post Hoc Secondary Analysis
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Vaara, Suvi T., Serpa Neto, Ary, Bellomo, Rinaldo, Adhikari, Neill K. J., Dreyfuss, Didier, Gallagher, Martin, Gaudry, Stephane, Hoste, Eric, Joannidis, Michael, Pettilä, Ville, Wang, Amanda Y., Kashani, Kianoush, Wald, Ron, Bagshaw, Sean M., Ostermann, Marlies, Bagshaw, Sean M, Wald, Ron, Adhikari, Neill K.J., Bellomo, Rinaldo, Dreyfuss, Didier, Du, Bin, Gallagher, Martin P., Gaudry, Stéphane, Hoste, Eric A., Lamontagne, François, Joannidis, Michael, Liu, Kathleen D., McAuley, Daniel F., McGuinness, Shay P., Nichol, Alistair D., Ostermann, Marlies, Palevsky, Paul M., Qiu, Haibo, Pettilä, Ville, Schneider, Antoine G., Smith, Orla M., Vaara, Suvi T., Weir, Matthew, Bellomo, Rinaldo, Eastwood, Glenn M., Peck, Leah, Young, Helen, Kruger, Peter, Laurie, Gordon, Saylor, Emma, Meyer, Jason, Venz, Ellen, Wetzig, Krista, French, Craig, McGain, Forbes, Mulder, John, Fennessy, Gerard, Koottayi, Sathyajith, Bates, Samantha, Towns, Miriam, Morgan, Rebecca, Tippett, Anna, Udy, Andrew, Mason, Chris, Licari, Elisa, Gantner, Dashiell, McClure, Jason, Nichol, Alistair, McCracken, Phoebe, Board, Jasmin, Martin, Emma, Vallance, Shirley, Young, Meredith, Vladic, Chelsey, McGloughlin, Steve, Gattas, David, Buhr, Heidi, Coles, Jennifer, Hutch, Debra, Wun, James, Cole, Louise, Whitehead, Christina, Lowrey, Julie, Masters, Kristy, Gresham, Rebecca, Campbell, Victoria, Gutierrez, David, Brailsford, Jane, Forbes, Loretta, Murray, Lauren, Maguire, Teena, NiChonghaile, Martina, Orford, Neil, Bone, Allison, Elderkin, Tania, Salerno, Tania, Chimunda, Tim, Fletcher, Jason, Broadfield, Emma, Porwal, Sanjay, Knott, Cameron, Boschert, Catherine, Smith, Julie, Richardson, Angus, Hill, Dianne, Duke, Graeme, Oziemski, Peter, Cegarra, Santiago, Chan, Peter, Welsh, Deborah, Hunter, Stephanie, Roodenburg, Owen, Dyett, John, Kokotsis, Nicos, Moser, Max, Yang, Yang, Padayachee, Laven, Vetro, Joseph, Gangopadhyay, Himangsu, Kaufman, Melissa, Ghosh, Angaj, Said, Simone, Patel, Alpesh, Bihari, Shailesh, Matheson, Elisha, Jin, Xia, Shrestha, Tapaswi, Schwartz, Kate, Gallagher, Martin P., Cross, Rosalba, Cheung, Winston, Wong, Helen, Kol, Mark, Shah, Asim, Wang, Amanda Y., Endre, Zoltan, Bradford, Celia, Janin, Pierre, Finfer, Simon, Diel, Naomi, Gatward, Jonathan, Hammond, Naomi, Delaney, Anthony, Bass, Frances, Yarad, Elizabeth, Buscher, Hergen, Reynolds, Claire, Baker, Nerilee, Joannidis, Michael, Bellmann, Romuald, Peer, Andreas, Hasslacher, Julia, Koglberger, Paul, Klein, Sebastian, Zotter, Klemens, Brandtner, Anna, Finkenstedt, Armin, Ditlbacher, Adelheid, Hartig, Frank, Fries, Dietmar, Bachler, Mirjam, Schenk, Bettina, Wagner, Martin, Staudinger, Thomas, Tiller, Esther, Schellongowski, Peter, Bojic, Andja, Hoste, Eric A., Bracke, Stephanie, De Crop, Luc, Vermeiren, Daisy, Thome, Fernando, Chiella, Bianca, Fendt, Lucia, Antunes, Veronica, Maisonneuve-Rosemont, Lafrance, Jean-Philippe, Lamontagne, François, D’Aragon, Frédérick, St-Arnaud, Charles, Mayette, Michael, Carbonnaeu, Élaine, Marchand, Joannie, Masse, Marie-Hélène, Ladouceur, Marilène, Turgeon, Alexis F., Lauzier, François, Bellemare, David, Langis Francoeur, Charles, LeBlanc, Guillaume, Guilbault, Gabrielle, Grenier, Stéphanie, Cloutier, Eve, Boivin, Annick, Delisle-Thibault, Charles, Giannakouros, Panagiota, Costerousse, Olivier, Cailhier, Jean-François, Carrier, François-Martin, Ghamraoui, Ali, Lebrasseur, Martine, Benettaib, Fatna, Salamé, Maya, Boumahni, Dounia, Tung Sia, Ying, Naud, Jean-François, Roy, Isabelle, Stelfox, Henry T., Ruddell, Stacey, Manns, Braden J., Duggan, Shelley, Carney, Dominic, Barchard, Jennifer, Whitlock, Richard P., Belley-Cote, Emilie, Savija, Nevena, Sabev, Alexandra, Campbell, Troy, Creary, Thais, Devereaux, Kelson, Brodutch, Shira, Rigatto, Claudio, Paunovic, Bojan, Mooney, Owen, Glybina, Anna, Harasemiw, Oksana, Di Nella, Michelle, Harmon, John, Mehta, Navdeep, Lakatos, Louis, Haslam, Nicole, Lellouche, Francois, Simon, Mathieu, Tung, Ying, Lizotte, Patricia, Bourchard, Pierre-Alexandre, Rochwerg, Bram, Karachi, Tim, Millen, Tina, Muscedere, John, Maslove, David, Gordon Boyd, J., Sibley, Stephanie, Drover, John, Hunt, Miranda, Georgescu, Ilinca, Wax, Randy, Lenga, Ilan, Sridhar, Kavita, Steele, Andrew, Fusco, Kelly, Ghate, Taneera, Tolibas, Michael, Robinson, Holly, Weir, Matthew A., Taneja, Ravi, Ball, Ian M., Garg, Amit, Campbell, Eileen, Ovsenek, Athena, Bagshaw, Sean M., van Diepen, Sean, Baig, Nadia, Magder, Sheldon, Yao, Han, Alam, Ahsan, Campisi, Josie, MacIntyre, Erika, Rokosh, Ella, Scherr, Kimberly, Lapinsky, Stephen, Mehta, Sangeeta, Shah, Sumesh, Niven, Daniel J., Stelfox, Henry T., Ruddell, Stacey, Russell, Michael, Jim, Kym, Brown, Gillian, Oxtoby, Kerry, Hall, Adam, Benoit, Luc, Sokolowski, Colleen, Prasad, Bhanu, Rao, Jag, Giebel, Shelley, Kutsogiannis, Demetrios J., Thompson, Patricia, Thompson, Tayne, Cirone, Robert, Kavikondala, Kanthi, Soth, Mark, Clarke, France, Takaoka, Alyson, Wald, Ron, Mazer, David, Burns, Karen, Friedrich, Jan, Klein, David, Sandhu, Gyan, Santos, Marlene, Khalid, Imrana, Hodder, Jennifer, Dodek, Peter, Ayas, Najib, Alcuaz, Victoria, Suen, Gabriel, Rewa, Oleksa, Singh, Gurmeet, Norris, Sean, Gibson, Neil, Arias, Castro, Shami, Aysha, Pelletier, Celine, Adhikari, Neill K.J., Zahirieh, Alireza, Amaral, Andre, Marinoff, Nicole, Kaur, Navjot, Perez, Adic, Wang, Jane, Haljan, Gregory, Condin, Christopher, McIntyre, Lauralyn, Gomes, Brigette, Porteous, Rebecca, Watpool, Irene, Hiremath, Swapnil, Clark, Edward, Herridge, Margaret S., Backhouse, Felicity, Elizabeth Wilcox, M., Walczak, Karolina, Ki, Vincent, Sharman, Asheer, Romano, Martin, Bagshaw, Sean M., Noel Gibney, R.T., Romanovsky, Adam S., Rewa, Oleksa, McCoshen, Lorena, Baig, Nadia, Wood, Gordon, Ovakim, Daniel, Auld, Fiona, Carney, Gayle, Duan, Meili, Ji, Xiaojun, Guo, Dongchen, Qi, Zhili, Lin, Jin, Zhang, Meng, Dong, Lei, Liu, Jingfeng, Liu, Pei, Zhi, Deyuan, Bai, Guoqiang, Qiu, Yu, Yang, Ziqi, Bai, Jing, Liu, Zhuang, Zhuang, Haizhou, Wang, Haiman, Li, Jian, Zhao, Mengya, Zhou, Xiao, Shi, Xianqing, Ye, Baning, Liu, Manli, Wu, Jing, Fu, Yongjian, Long, Dali, Pan, Yu, Wang, Jinlong, Mei, Huaxian, Zhang, Songsong, Wen, Mingxiang, Yang, Enyu, Mu, Sijie, Li, Jianquan, Hu, Tingting, Qin, Bingyu, Li, Min, Wang, Cunzhen, Dong, Xin, Wang, Kaiwu, Wang, Haibo, Yang, Jianxu, Du, Bin, Wang, Chuanyao, Wang, Dongxin, Li, Nan, Yu, Zhui, Xu, Song, Yao, Lan, Hou, Guo, Liu, Zhou, Lu, Liping, Lian, Yingtao, Wang, Chunting, Zhang, Jichen, Ding, Ruiqi, Qi, Guoqing, Wang, Qizhi, Wang, Peng, Meng, Zhaoli, Chen, Man, Hu, Xiaobo, He, Xiandi, Zhao, Shibing, Hang, Lele, Li, Rui, Qin, Suhui, Lu, Kun, Dun, Shijuan, Liu, Cheng, Zhou, Qi, Chen, Zhenzhen, Mei, Jing, Zhang, Minwei, Xu, Hao, Lin, Jincan, Shi, Qindong, Fu, Lijuan, Zeng, Qinjing, Ma, Hongye, Yan, Jinqi, Gao, Lan, Liu, Hongjuan, Zhang, Lei, Li, Hao, He, Xiaona, Fan, Jingqun, Guo, Litao, Liu, Yu, Wang, Xue, Sun, Jingjing, Liu, Zhongmin, Yang, Juan, Ding, Lili, Sheng, Lulu, Liu, Xingang, Yan, Jie, Wang, Quihui, Wang, Yifeng, Zhao, Dan, Zhao, Shuangping, Hu, Chenghuan, Li, Jing, Deng, Fuxing, Qiu, Haibo, Yang, Yi, Mo, Min, Pan, Chun, Wu, Changde, Huang, Yingzi, Huang, Lili, Liu, Airan, Pettilä, Ville, Vaara, Suvi T., Korhonen, Anna-Maija, Törnblom, Sanna, Sutinen, Sari, Pettilä, Leena, Heinonen, Jonna, Lappi, Eliria, Suhonen, Taria, Karlsson, Sari, Hoppu, Sanna, Jalkanen, Ville, Kuitunen, Anne, Levoranta, Markus, Långsjö, Jaakko, Ristimäki, Sanna, Malila, Kaisa, Wootten, Anna, Varila, Simo, Järvisalo, Mikko J, Inkinen, Outi, Kentala, Satu, Leivo, Keijo, Haltia, Paivi, Dreyfuss, Didier, Ricard, Jean-Damien, Messika, Jonathan, Tiagarajah, Abirami, Emery, Malo, Dechanet, Aline, Gernez, Coralie, Roux, Damien, Martin-Lefevre, Laurent, Fiancette, Maud, Vinatier, Isabelle, Claude Lacherade, Jean, Colin, Gwenhaël, Lebert, Christine, Azais, Marie-Ange, Yehia, Aihem, Pouplet, Caroline, Henry- Lagarrigue, Matthieu, Seguin, Amélie, Crosby, Laura, Maizel, Julien, Titeca-Beauport, Dimitri, Combes, Alain, Nieszkowska, Ania, Masi, Paul, Demoule, Alexandre, Mayaux, Julien, Dres, Martin, Morawiec, Elise, Decalvele, Maxens, Demiri, Suela, Faure, Morgane, Marios, Clémence, Mallet, Maxime, Amélie Ordon, Marie, Morizot, Laura, Cantien, Marie, Pousset, François, Gaudry, Stéphane, Poirson, Florent, Cohen, Yves, Argaud, Laurent, Cour, Martin, Bitker, Laurent, Simon, Marie, Hernu, Romain, Baudry, Thomas, De La Salle, Sylvie, Robine, Adrien, Sedillot, Nicholas, Tchenio, Xavier, Bouisse, Camille, Roux, Sylvie, Barbar, Davide, Trusson, Rémi, Tamion, Fabienne, Grangé, Steven, Carpentier, Dorothée, Chevrel, Guillaume, Ensenyat-Martin, Luis, Marque, Sophie, Quenot, Jean-Pierre, Andreu, Pascal, Dargent, Auguste, Large, Audrey, Chudeau, Nicolas, Landais, Mickael, Derrien, Benoit, Christophe Callahan, Jean, Guitton, Christophe, Le Moal, Charlène, Robert, Alain, Asehnoune, Karim, Cinotti, Raphaël, Grillot, Nicolas, Demeure, Dominique, Vinsonneau, Christophe, Rahmani, Imen, Marzouk, Mehdi, Dekeyser, Thibault, Sejourne, Caroline, Verlay, Mélanie, Thevenin, Fabienne, Delecolle, Lucie, Didier Thevenin, Lens, Souweine, Bertrand, Coupez, Elisabeth, Adda, Mireille, Eraldi, Jean-Pierre, Marchalot, Antoine, De Prost, Nicolas, Mekontso Dessap, Armand, Razazi, Keyvan, Meziani, Ferhat, Boisrame-Helms, Julie, Clere-Jehl, Raphael, Delabranche, Xavier, Kummerlen, Christine, Merdji, Hamid, Monnier, Alexandra, Rabouel, Yannick, Rahmani, Hassene, Allam, Hayat, Chenaf, Samir, Franja, Vincenta, Pons, Bertrand, Carles, Michel, Martino, Frédéric, Richard, Régine, Zuber, Benjamin, Lacave, Guillaume, Lakhal, Karim, Rozec, Bertrand, Dang Van, Hoa, Boulet, Éric, Dubos, René, Fadel, Fouad, Cleophax, Cedric, Dufour, Nicolas, Grant, Caroline, Thuong, Marie, Reignier, Jean, Canet, Emmanuel, Nicolet, Laurent, Boulain, Thierry, Nay, Mai-Anh, Benzekri, Dalila, Barbier, François, Bretagnol, Anne, Kamel, Toufik, Mathonnet, Armelle, Muller, Grégoire, Skarzynski, Marie, Rossi, Julie, Pradet, Amandine, Dos Santos, Sandra, Guery, Aurore, Muller, Lucie, Felix, Luis, Bohé, Julien, Thiéry, Guillaume, Aissaoui, Nadia, Vimpere, Damien, Commeureuc, Morgane, Diehl, Jean-Luc, Guerot, Emmanuel, Liangos, Orfeas, Wittig, Monika, Zarbock, Alexander, Küllmar, Mira, van Waegeningh, Thomas, Rosenow, Nadine, Nichol, Alistair D., Brickell, Kathy, Doran, Peter, Murray, Patrick T., Landoni, Giovanni, Lembo, Rosalba, Zangrillo, Alberto, Monti, Giacomo, Tozzi, Margherita, Marzaroli, Matteo, Lombardi, Gaetano, Paternoster, Gianluca, Vitiello, Michelangelo, McGuinness, Shay, Parke, Rachael, Butler, Magdalena, Gilder, Eileen, Cowdrey, Keri-Anne, Wallace, Samantha, Hallion, Jane, Woolett, Melissa, Neal, Philippa, Duffy, Karina, Long, Stephanie, McArthur, Colin, Simmonds, Catherine, Chen, Yan, McConnochie, Rachael, Newby, Lynette, Knight, David, Henderson, Seton, Mehrtens, Jan, Morgan, Stacey, Morris, Anna, Vander Hayden, Kymbalee, Burke, Tara, Bailey, Matthew, Freebairn, Ross, Chadwick, Lesley, Park, Penelope, Rolls, Christine, Thomas, Liz, Buehner, Ulrike, Williams, Erin, Albrett, Jonathan, Kirkham, Simon, Jackson, Carolyn, Browne, Troy, Goodson, Jennifer, Jackson, David, Houghton, James, Callender, Owen, Higson, Vicki, Keet, Owen, Dominy, Clive, Young, Paul, Hunt, Anna, Judd, Harriet, Lawrence, Cassie, Olatunji, Shaanti, Robertson, Yvonne, Latimer-Bell, Charlotte, Hendry, Deborah, Mckay-Vucago, Agnes, Beehre, Nina, Lesona, Eden, Navarra, Leanlove, Robinson, Chelsea, Jang, Ryan, Junge, Andrea, Lambert, Bridget, Schneider, Antoine G., Thibault, Michel, Eckert, Philippe, Kissling, Sébastien, Polychronopoulos, Erietta, Poli, Elettra, Altarelli, Marco, Schnorf, Madeleine, Abed Mallaird, Samia, Heidegger, Claudia, Perret, Aurelie, Montillier, Philippe, Sangla, Frederic, Neils, Seigenthaller, De Watteville, Aude, Phull, Mandeep-Kaur, George, Aparna, Hussain, Nauman, Pogreban, Tatiana, Lobaz, Steve, Daniels, Alison, Cunningham, Mishell, Kerr, Deborah, Nicholson, Alice, Shanmugasundaram, Pradeep, Abrams, Judith, Manso, Katarina, Hambrook, Geraldine, McKerrow, Elizabeth, Salva, Juvy, Foulkes, Stephen, Wise, Matthew, Morgan, Matt, Brooks, Jenny, Cole, Jade, Michelle Davies, Tracy, Hill, Helen, Thomas, Emma, Vizcaychipi, Marcela, Baharlo, Behrad, Carungcong, Jaime, Costa, Patricia, Martins, Laura, Kapoor, Ritoo, Hazelton, Tracy, Moon, Angela, Musselwhite, Janine, Shelley, Ben, McCall, Philip, Ostermann, Marlies, Arbane, Gill, Bociek, Aneta, Marotti, Martina, Lim, Rosario, Campos, Sara, Grau Novellas, Neus, Cennamo, Armando, Slack, Andrew, Wyncoll, Duncan, Camporota, Luigi, Sparkes, Simon, Tilley, Rosalinde, Rattray, Austin, Moreland, Gayle, Duffy, Jane, McGonigal, Elizabeth, Hopkins, Philip, Finney, Clare, Smith, John, Noble, Harriet, Watson, Hayley, Harris, Claire-Louise, Clarey, Emma, Corcoran, Eleanor, Beck, James, Howcroft, Clare, Youngs, Nora, Wilby, Elizabeth, Ogg, Bethan, Wolverson, Adam, Lee, Sandra, Butler, Susie, Okubanjo, Maryanne, Hindle, Julia, Welters, Ingeborg, Williams, Karen, Johnson, Emily, Patrick-Heselton, Julie, Shaw, David, Waugh, Victoria, Stewart, Richard, Mwaura, Esther, Wren, Lynn, Mew, Louise, Sutherland, Sara-Beth, Adderley, Jane, Ruddy, Jim, Harkins, Margaret, Kaye, Callum, Scott, Teresa, Mitchell, Wendy, Anderson, Felicity, Willox, Fiona, Jagannathan, Vijay, Clark, Michele, Purv, Sarah, Sharman, Andrew, Meredith, Megan, Ryan, Lucy, Conner, Louise, Peters, Cecilia, Harvey, Dan, Roshdy, Ashraf, Collins, Amy, Sim, Malcolm, Henderson, Steven, Chee, Nigel, Pitts, Sally, Bowman, Katie, Dilawershah, Maria, Vamplew, Luke, Howe, Elizabeth, Rogers, Paula, Hernandez, Clara, Prendergast, Clara, Benton, Jane, Rosenberg, Alex, Forni, Lui G., Grant, Alice, Carvelli, Paula, Raithatha, Ajay, Bird, Sarah, Richardson, Max, Needham, Matthew, Hirst, Claire, Ball, Jonathan, Leaver, Susannah, Howlett, Luisa, Castro Delgado, Carlos, Farnell-Ward, Sarah, Farrah, Helen, Gray, Geraldine, Joseph, Gipsy, Robinson, Francesca, Tridente, Ascanio, Harrop, Clare, Shuker, Karen, McLaughlan, Derek, Ramsey, Judith, Meehan, Sharon, Oliver Rose, Bernd, Reece-Anthony, Rosie, Gurung, Babita, Whitehouse, Tony, Snelson, Catherine, Veenith, Tonny, Johnston, Andy, Cooper, Lauren, Carrera, Ron, Ellis, Karen, Fellows, Emma, Harkett, Samanth, Bergin, Colin, Spruce, Elaine, Despy, Liesl, Goundry, Stephanie, Dooley, Natalie, Mason, Tracy, Clark, Amy, Dignam, Gemma, Ward, Geraldine, Attwood, Ben, Parsons, Penny, Mason, Sophie, Margarson, Michael, Lord, Jenny, McGlone, Philip, Hodgson, Luke E., Chadbourn, Indra, Gomez, Raquel, Margalef, Jordi, Pretorius, Rinus, Hamshere, Alexandra, Carter, Joseph, Cahill, Hazel, Grainger, Lia, Howard, Kate, Forshaw, Greg, Guy, Zoe, Kashani, Kianoush B., Albright, Robert C., Amsbaugh, Amy, Stoltenberg, Anita, Niven, Alexander S., Lynch, Matthew, O’Mara, AnnMarie, Naeem, Syed, Sharif, Sairah, McKenney Goulart, Joyce, Lynch, Matthew, O’Mara, AnnMarie, Naeem, Syed, Sharif, Sairah, McKenney Goulart, Joyce, Tolwani, Ashita, Lyas, Claretha, Latta, Laura, Bihorac, Azra, Hashemighouchani, Haleh, Efron, Philip, Ruppert, Matthew, Cupka, Julie, Kiley, Sean, Carson, Joshua, White, Peggy, Omalay, George, Brown, Sherry, Velez, Laura, Marceron, Alina, Neyra, Javier A., Carlos Aycinena, Juan, Elias, Madona, Ortiz-Soriano, Victor M., Hauschild, Caroline, and Dorfman, Robert
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- 2024
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17. The Effect of Lower Tidal Volume Ventilation Facilitated by Extracorporeal Carbon Dioxide Removal Compared With Conventional Lung Protective Ventilation on Cardiac Function
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McGuigan, Peter J., Bowcock, Emma M., Barrett, Nicholas A., Blackwood, Bronagh, Boyle, Andrew J., Cadamy, Andrew J., Camporota, Luigi, Conlon, John, Cove, Matthew E., Gillies, Michael A, McDowell, Clíona, McNamee, James J., O’Kane, Cecilia M., Puxty, Alex, Sim, Malcolm, Parsons-Simmonds, Rebecca, Szakmany, Tamas, Young, Neil, Orde, Sam, and McAuley, Daniel F.
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- 2024
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18. Lopinavir-ritonavir and hydroxychloroquine for critically ill patients with COVID-19: REMAP-CAP randomized controlled trial
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Arabi, Yaseen M, Gordon, Anthony C, Derde, Lennie PG, Nichol, Alistair D, Murthy, Srinivas, Beidh, Farah Al, Annane, Djillali, Swaidan, Lolowa Al, Beane, Abi, Beasley, Richard, Berry, Lindsay R, Bhimani, Zahra, Bonten, Marc JM, Bradbury, Charlotte A, Brunkhorst, Frank M, Buxton, Meredith, Buzgau, Adrian, Cheng, Allen, De Jong, Menno, Detry, Michelle A, Duffy, Eamon J, Estcourt, Lise J, Fitzgerald, Mark, Fowler, Rob, Girard, Timothy D, Goligher, Ewan C, Goossens, Herman, Haniffa, Rashan, Higgins, Alisa M, Hills, Thomas E, Horvat, Christopher M, Huang, David T, King, Andrew J, Lamontagne, Francois, Lawler, Patrick R, Lewis, Roger, Linstrum, Kelsey, Litton, Edward, Lorenzi, Elizabeth, Malakouti, Salim, McAuley, Daniel F, McGlothlin, Anna, Mcguinness, Shay, McVerry, Bryan J, Montgomery, Stephanie K, Morpeth, Susan C, Mouncey, Paul R, Orr, Katrina, Parke, Rachael, Parker, Jane C, Patanwala, Asad E, Rowan, Kathryn M, Santos, Marlene S, Saunders, Christina T, Seymour, Christopher W, Shankar-Hari, Manu, Tong, Steven YC, Turgeon, Alexis F, Turner, Anne M, Van de Veerdonk, Frank Leo, Zarychanski, Ryan, Green, Cameron, Berry, Scott, Marshall, John C, McArthur, Colin, Angus, Derek C, and Webb, Steven A
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Biomedical and Clinical Sciences ,Clinical Sciences ,Comparative Effectiveness Research ,Clinical Research ,Clinical Trials and Supportive Activities ,Good Health and Well Being ,Adult ,Antiviral Agents ,Bayes Theorem ,Critical Illness ,Drug Combinations ,Humans ,Hydroxychloroquine ,Lopinavir ,Ritonavir ,SARS-CoV-2 ,COVID-19 Drug Treatment ,Adaptive platform trial ,Intensive care ,Pneumonia ,Pandemic ,COVID-19 ,Lopinavir-ritonavir ,REMAP-CAP Investigators ,Public Health and Health Services ,Emergency & Critical Care Medicine ,Clinical sciences - Abstract
PurposeTo study the efficacy of lopinavir-ritonavir and hydroxychloroquine in critically ill patients with coronavirus disease 2019 (COVID-19).MethodsCritically ill adults with COVID-19 were randomized to receive lopinavir-ritonavir, hydroxychloroquine, combination therapy of lopinavir-ritonavir and hydroxychloroquine or no antiviral therapy (control). The primary endpoint was an ordinal scale of organ support-free days. Analyses used a Bayesian cumulative logistic model and expressed treatment effects as an adjusted odds ratio (OR) where an OR > 1 is favorable.ResultsWe randomized 694 patients to receive lopinavir-ritonavir (n = 255), hydroxychloroquine (n = 50), combination therapy (n = 27) or control (n = 362). The median organ support-free days among patients in lopinavir-ritonavir, hydroxychloroquine, and combination therapy groups was 4 (- 1 to 15), 0 (- 1 to 9) and-1 (- 1 to 7), respectively, compared to 6 (- 1 to 16) in the control group with in-hospital mortality of 88/249 (35%), 17/49 (35%), 13/26 (50%), respectively, compared to 106/353 (30%) in the control group. The three interventions decreased organ support-free days compared to control (OR [95% credible interval]: 0.73 [0.55, 0.99], 0.57 [0.35, 0.83] 0.41 [0.24, 0.72]), yielding posterior probabilities that reached the threshold futility (≥ 99.0%), and high probabilities of harm (98.0%, 99.9% and > 99.9%, respectively). The three interventions reduced hospital survival compared with control (OR [95% CrI]: 0.65 [0.45, 0.95], 0.56 [0.30, 0.89], and 0.36 [0.17, 0.73]), yielding high probabilities of harm (98.5% and 99.4% and 99.8%, respectively).ConclusionAmong critically ill patients with COVID-19, lopinavir-ritonavir, hydroxychloroquine, or combination therapy worsened outcomes compared to no antiviral therapy.
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- 2021
19. Valaciclovir for Epstein-Barr Virus Suppression in Moderate-to-Severe COPD: A Randomized Double-Blind Placebo-Controlled Trial
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Linden, Dermot A., Guo-Parke, Hong, McKelvey, Michael C., Einarsson, Gisli G., Lee, Andrew J., Fairley, Derek J., Brown, Vanessa, Lundy, Gavin, Campbell, Christina, Logan, Danielle, McFarland, Margaret, Singh, Dave, McAuley, Daniel F., Taggart, Clifford C., and Kidney, Joseph C.
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- 2023
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20. Elevated Plasma Interleukin-18 Identifies High-Risk Acute Respiratory Distress Syndrome Patients not Distinguished by Prior Latent Class Analyses Using Traditional Inflammatory Cytokines: A Retrospective Analysis of Two Randomized Clinical Trials
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Moore, Andrew R., Pienkos, Shaun M., Sinha, Pratik, Guan, Jiazhen, O’Kane, Cecilia M., Levitt, Joseph E., Wilson, Jennifer G., Shankar-Hari, Manu, Matthay, Michael A., Calfee, Carolyn S., Baron, Rebecca M., McAuley, Daniel F., and Rogers, Angela J.
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- 2023
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21. Correction: Feasibility of conservative fluid administration and deresuscitation compared with usual care in critical illness: the Role of Active Deresuscitation Correction: After Resuscitation-2 (RADAR-2) randomised clinical trial
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Silversides, Jonathan A., McMullan, Ross, Emerson, Lydia M., Bradbury, Ian, Bannard-Smith, Jonathan, Szakmany, Tamas, Trinder, John, Rostron, Anthony J., Johnston, Paul, Ferguson, Andrew J., Boyle, Andrew J., Blackwood, Bronagh, Marshall, John C., and McAuley, Daniel F.
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- 2023
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22. Prevalence of phenotypes of acute respiratory distress syndrome in critically ill patients with COVID-19: a prospective observational study
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Sinha, Pratik, Calfee, Carolyn S, Cherian, Shiney, Brealey, David, Cutler, Sean, King, Charles, Killick, Charlotte, Richards, Owen, Cheema, Yusuf, Bailey, Catherine, Reddy, Kiran, Delucchi, Kevin L, Shankar-Hari, Manu, Gordon, Anthony C, Shyamsundar, Murali, O'Kane, Cecilia M, McAuley, Daniel F, and Szakmany, Tamas
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Lung ,Rare Diseases ,Aetiology ,2.1 Biological and endogenous factors ,Respiratory ,Good Health and Well Being ,APACHE ,COVID-19 ,Case-Control Studies ,Cytokine Release Syndrome ,Female ,Humans ,Male ,Middle Aged ,Phenotype ,Prospective Studies ,Receptors ,Tumor Necrosis Factor ,Type I ,Respiratory Distress Syndrome ,Clinical Sciences ,Public Health and Health Services ,Other Medical and Health Sciences - Abstract
BackgroundIn acute respiratory distress syndrome (ARDS) unrelated to COVID-19, two phenotypes, based on the severity of systemic inflammation (hyperinflammatory and hypoinflammatory), have been described. The hyperinflammatory phenotype is known to be associated with increased multiorgan failure and mortality. In this study, we aimed to identify these phenotypes in COVID-19-related ARDS.MethodsIn this prospective observational study done at two UK intensive care units, we recruited patients with ARDS due to COVID-19. Demographic, clinical, and laboratory data were collected at baseline. Plasma samples were analysed for interleukin-6 (IL-6) and soluble tumour necrosis factor receptor superfamily member 1A (TNFR1) using a novel point-of-care assay. A parsimonious regression classifier model was used to calculate the probability for the hyperinflammatory phenotype in COVID-19 using IL-6, soluble TNFR1, and bicarbonate levels. Data from this cohort was compared with patients with ARDS due to causes other than COVID-19 recruited to a previous UK multicentre, randomised controlled trial of simvastatin (HARP-2).FindingsBetween March 17 and April 25, 2020, 39 patients were recruited to the study. Median ratio of partial pressure of arterial oxygen to fractional concentration of oxygen in inspired air (PaO2/FiO2) was 18 kpa (IQR 15-21) and acute physiology and chronic health evaluation II score was 12 (10-16). 17 (44%) of 39 patients had died by day 28 of the study. Compared with survivors, patients who died were older and had lower PaO2/FiO2. The median probability for the hyperinflammatory phenotype was 0·03 (IQR 0·01-0·2). Depending on the probability cutoff used to assign class, the prevalence of the hyperinflammatory phenotype was between four (10%) and eight (21%) of 39, which is lower than the proportion of patients with the hyperinflammatory phenotype in HARP-2 (186 [35%] of 539). Using the Youden index cutoff (0·274) to classify phenotype, five (63%) of eight patients with the hyperinflammatory phenotype and 12 (39%) of 31 with the hypoinflammatory phenotype died. Compared with matched patients recruited to HARP-2, levels of IL-6 were similar in our cohort, whereas soluble TNFR1 was significantly lower in patients with COVID-19-associated ARDS.InterpretationIn this exploratory analysis of 39 patients, ARDS due to COVID-19 was not associated with higher systemic inflammation and was associated with a lower prevalence of the hyperinflammatory phenotype than that observed in historical ARDS data. This finding suggests that the excess mortality observed in COVID-19-related ARDS is unlikely to be due to the upregulation of inflammatory pathways described by the parsimonious model.FundingUS National Institutes of Health, Innovate UK, and Randox.
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- 2020
23. Acute respiratory distress syndrome subphenotypes and therapy responsive traits among preclinical models: protocol for a systematic review and meta-analysis
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Carla, Adrien, Pereira, Bruno, Boukail, Hanifa, Audard, Jules, Pinol-Domenech, Nathalie, De Carvalho, Manuela, Blondonnet, Raiko, Zhai, Ruoyang, Morand, Dominique, Lambert, Céline, Sapin, Vincent, Ware, Lorraine B, Calfee, Carolyn S, Bastarache, Julie A, Laffey, John G, Juffermans, Nicole P, Bos, Lieuwe D, Artigas, Antonio, Rocco, Patricia RM, Matthay, Michael A, McAuley, Daniel F, Constantin, Jean-Michel, and Jabaudon, Matthieu
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Biomedical and Clinical Sciences ,Clinical Sciences ,Lung ,Rare Diseases ,Acute Respiratory Distress Syndrome ,Respiratory ,Adrenergic beta-Agonists ,Animals ,Disease Models ,Animal ,Humans ,Phenotype ,Positive-Pressure Respiration ,Randomized Controlled Trials as Topic ,Respiratory Distress Syndrome ,Treatment Outcome ,Systematic review protocol ,Acute respiratory distress syndrome ,Preclinical ,Subphenotypes ,ESICM Translational Biology Group of the Acute Respiratory Failure section ,Cardiorespiratory Medicine and Haematology ,Respiratory System ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
BackgroundSubphenotypes were recently reported within clinical acute respiratory distress syndrome (ARDS), with distinct outcomes and therapeutic responses. Experimental models have long been used to mimic features of ARDS pathophysiology, but the presence of distinct subphenotypes among preclinical ARDS remains unknown. This review will investigate whether: 1) subphenotypes can be identified among preclinical ARDS models; 2) such subphenotypes can identify some responsive traits.MethodsWe will include comparative preclinical (in vivo and ex vivo) ARDS studies published between 2009 and 2019 in which pre-specified therapies were assessed (interleukin (IL)-10, IL-2, stem cells, beta-agonists, corticosteroids, fibroblast growth factors, modulators of the receptor for advanced glycation end-products pathway, anticoagulants, and halogenated agents) and outcomes compared to a control condition. The primary outcome will be a composite of the four key features of preclinical ARDS as per the American Thoracic Society consensus conference (histologic evidence of lung injury, altered alveolar-capillary barrier, lung inflammatory response, and physiological dysfunction). Secondary outcomes will include the single components of the primary composite outcome, net alveolar fluid clearance, and death. MEDLINE, Embase, and Cochrane databases will be searched electronically and data from eligible studies will be extracted, pooled, and analyzed using random-effects models. Individual study reporting will be assessed according to the Animal Research: Reporting of In Vivo Experiments guidelines. Meta-regressions will be performed to identify subphenotypes prior to comparing outcomes across subphenotypes and treatment effects.DiscussionThis study will inform on the presence and underlying pathophysiological features of subphenotypes among preclinical models of ARDS and should help to determine whether sufficient evidence exists to perform preclinical trials of subphenotype-targeted therapies, prior to potential clinical translation.Systematic review registrationPROSPERO (ID: CRD42019157236).
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- 2020
24. Extracorporeal carbon dioxide removal for acute respiratory failure: a review of potential indications, clinical practice and open research questions
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Combes, Alain, Brodie, Daniel, Aissaoui, Nadia, Bein, Thomas, Capellier, Gilles, Dalton, Heidi J., Diehl, Jean-Luc, Kluge, Stefan, McAuley, Daniel F., Schmidt, Matthieu, Slutsky, Arthur S., and Jaber, Samir
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- 2022
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25. Development and validation of parsimonious algorithms to classify acute respiratory distress syndrome phenotypes: a secondary analysis of randomised controlled trials
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Sinha, Pratik, Delucchi, Kevin L, McAuley, Daniel F, O'Kane, Cecilia M, Matthay, Michael A, and Calfee, Carolyn S
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Biomedical and Clinical Sciences ,Cardiovascular Medicine and Haematology ,Clinical Sciences ,Rare Diseases ,Lung ,Good Health and Well Being ,Adult ,Aged ,Biomarkers ,Female ,Humans ,Inflammation Mediators ,Machine Learning ,Male ,Middle Aged ,Phenotype ,Predictive Value of Tests ,Randomized Controlled Trials as Topic ,Respiratory Distress Syndrome ,Retrospective Studies ,Public Health and Health Services ,Other Medical and Health Sciences ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
BackgroundUsing latent class analysis (LCA) in five randomised controlled trial (RCT) cohorts, two distinct phenotypes of acute respiratory distress syndrome (ARDS) have been identified: hypoinflammatory and hyperinflammatory. The phenotypes are associated with differential outcomes and treatment response. The objective of this study was to develop parsimonious models for phenotype identification that could be accurate and feasible to use in the clinical setting.MethodsIn this retrospective study, three RCT cohorts from the National Lung, Heart, and Blood Institute ARDS Network (ARMA, ALVEOLI, and FACTT) were used as the derivation dataset (n=2022), from which the machine learning and logistic regression classifer models were derived, and a fourth (SAILS; n=715) from the same network was used as the validation test set. LCA-derived phenotypes in all of these cohorts served as the reference standard. Machine-learning algorithms (random forest, bootstrapped aggregating, and least absolute shrinkage and selection operator) were used to select a maximum of six important classifier variables, which were then used to develop nested logistic regression models. Only cases with complete biomarker data in the derivation dataset were used for variable selection. The best logistic regression models based on parsimony and predictive accuracy were then evaluated in the validation test set. Finally, the models' prognostic validity was tested in two external ARDS clinical trial datasets (START and HARP-2) by assessing mortality at days 28, 60, and 90 and ventilator-free days to day 28.FindingsThe six most important classifier variables were interleukin (IL)-8, IL-6, protein C, soluble tumour necrosis factor receptor 1, bicarbonate, and vasopressor use. From the nested models, three-variable (IL-8, bicarbonate, and protein C) and four-variable (3-variable plus vasopressor use) models were adjudicated to be the best performing. In the validation test set, both models showed good accuracy (AUC 0·94 [95% CI 0·92-0·95] for the three-variable model and 0·95 [95% CI 0·93-0·96] for the four-variable model) against LCA classifications. As with LCA-derived phenotypes, the hyperinflammatory phenotype as identified by the classifier model was associated with higher mortality at day 90 (87 [39%] of 223 patients vs 112 [23%] of 492 patients; p
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- 2020
26. The relationship between plasma cystatin C, mortality and acute respiratory distress syndrome subphenotype in the HARP-2 trial
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McKelvey, Michael C, Bradbury, Ian, McDowell, Cliona, Calfee, Carolyn S, Weldon, Sinead, O'Kane, Cecilia M, McAuley, Daniel F, and Taggart, Clifford C
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- 2022
27. Driving Pressure: What Is the Harm?*
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Millar, Jonathan E., McAuley, Daniel F., and Marini, John J.
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- 2023
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28. Communication in critical care tracheostomy patients dependent upon cuff inflation: A scoping review
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McClintock, Carla, primary, McAuley, Daniel F., additional, McIlmurray, Lisa, additional, Alnajada, Asem Abdulaziz R., additional, Connolly, Bronwen, additional, and Blackwood, Bronagh, additional
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- 2024
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29. Cell-based Therapies for Acute Respiratory Distress Syndrome: Where Are We Now?
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Curley, Gerard F., primary, O’Kane, Cecilia M., additional, McAuley, Daniel F., additional, Matthay, Michael A., additional, and Laffey, John G., additional
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- 2024
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30. Redefining critical illness
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Maslove, David M., Tang, Benjamin, Shankar-Hari, Manu, Lawler, Patrick R., Angus, Derek C., Baillie, J. Kenneth, Baron, Rebecca M., Bauer, Michael, Buchman, Timothy G., Calfee, Carolyn S., dos Santos, Claudia C., Giamarellos-Bourboulis, Evangelos J., Gordon, Anthony C., Kellum, John A., Knight, Julian C., Leligdowicz, Aleksandra, McAuley, Daniel F., McLean, Anthony S., Menon, David K., Meyer, Nuala J., Moldawer, Lyle L., Reddy, Kiran, Reilly, John P., Russell, James A., Sevransky, Jonathan E., Seymour, Christopher W., Shapiro, Nathan I., Singer, Mervyn, Summers, Charlotte, Sweeney, Timothy E., Thompson, B. Taylor, van der Poll, Tom, Venkatesh, Balasubramanian, Walley, Keith R., Walsh, Timothy S., Ware, Lorraine B., Wong, Hector R., Zador, Zsolt E., and Marshall, John C.
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- 2022
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31. Acute respiratory distress syndrome in adults: diagnosis, outcomes, long-term sequelae, and management
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Gorman, Ellen A, O’Kane, Cecilia M, and McAuley, Daniel F
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- 2022
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32. Latent class analysis of ARDS subphenotypes: a secondary analysis of the statins for acutely injured lungs from sepsis (SAILS) study
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Sinha, Pratik, Delucchi, Kevin L, Thompson, B Taylor, McAuley, Daniel F, Matthay, Michael A, and Calfee, Carolyn S
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Biomedical and Clinical Sciences ,Clinical Sciences ,Rare Diseases ,Clinical Trials and Supportive Activities ,Clinical Research ,Infectious Diseases ,Good Health and Well Being ,Acute Lung Injury ,Adult ,Aged ,Cohort Studies ,Female ,Humans ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Latent Class Analysis ,Male ,Middle Aged ,Respiratory Distress Syndrome ,Rosuvastatin Calcium ,Sepsis ,Survival Rate ,ARDS ,Subphenotypes ,Latent class analysis ,Statins ,NHLBI ARDS Network ,Public Health and Health Services ,Emergency & Critical Care Medicine ,Clinical sciences - Abstract
PurposeUsing latent class analysis (LCA), we have consistently identified two distinct subphenotypes in four randomized controlled trial cohorts of ARDS. One subphenotype has hyper-inflammatory characteristics and is associated with worse clinical outcomes. Further, within three negative clinical trials, we observed differential treatment response by subphenotype to randomly assigned interventions. The main purpose of this study was to identify ARDS subphenotypes in a contemporary NHLBI Network trial of infection-associated ARDS (SAILS) using LCA and to test for differential treatment response to rosuvastatin therapy in the subphenotypes.MethodsLCA models were constructed using a combination of biomarker and clinical data at baseline in the SAILS study (n = 745). LCA modeling was then repeated using an expanded set of clinical class-defining variables. Subphenotypes were tested for differential treatment response to rosuvastatin.ResultsThe two-class LCA model best fit the population. Forty percent of the patients were classified as the "hyper-inflammatory" subphenotype. Including additional clinical variables in the LCA models did not identify new classes. Mortality at day 60 and day 90 was higher in the hyper-inflammatory subphenotype. No differences in outcome were observed between hyper-inflammatory patients randomized to rosuvastatin therapy versus placebo.ConclusionsLCA using a two-subphenotype model best described the SAILS population. The subphenotypes have features consistent with those previously reported in four other cohorts. Addition of new class-defining variables in the LCA model did not yield additional subphenotypes. No treatment effect was observed with rosuvastatin. These findings further validate the presence of two subphenotypes and demonstrate their utility for patient stratification in ARDS.
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- 2018
33. Aspirin as a Treatment for ARDS: A Randomized, Placebo-Controlled Clinical Trial
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Toner, Philip, Boyle, Andrew J., McNamee, James J., Callaghan, Kathryn, Nutt, Christopher, Johnston, Paul, Trinder, John, McFarland, Margaret, Verghis, Rejina, McAuley, Daniel F., and O’Kane, Cecilia M.
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- 2022
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34. Validation and utility of ARDS subphenotypes identified by machine-learning models using clinical data: an observational, multicohort, retrospective analysis
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35. Feasibility of conservative fluid administration and deresuscitation compared with usual care in critical illness: the Role of Active Deresuscitation After Resuscitation-2 (RADAR-2) randomised clinical trial
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Silversides, Jonathan A., McMullan, Ross, Emerson, Lydia M., Bradbury, Ian, Bannard-Smith, Jonathan, Szakmany, Tamas, Trinder, John, Rostron, Anthony J., Johnston, Paul, Ferguson, Andrew J., Boyle, Andrew J., Blackwood, Bronagh, Marshall, John C., and McAuley, Daniel F.
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36. Baseline plasma IL-18 may predict simvastatin treatment response in patients with ARDS: a secondary analysis of the HARP-2 randomised clinical trial
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Boyle, Andrew James, Ferris, Peter, Bradbury, Ian, Conlon, John, Shankar-Hari, Manu, Rogers, Angela J., O’Kane, Cecilia M., and McAuley, Daniel F.
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37. Repair of acute respiratory distress syndrome by stromal cell administration (REALIST): a structured study protocol for an open-label dose-escalation phase 1 trial followed by a randomised, triple-blind, allocation concealed, placebo-controlled phase 2 trial
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Gorman, Ellen, Shankar-Hari, Manu, Hopkins, Phil, Tunnicliffe, William S., Perkins, Gavin D., Silversides, Jonathan, McGuigan, Peter, Jackson, Colette, Boyle, Roisin, McFerran, Jamie, McDowell, Cliona, Campbell, Christina, McFarland, Margaret, Smythe, Jon, Thompson, Jacqui, Williams, Barry, Curley, Gerard, Laffey, John G., Clarke, Mike, McAuley, Daniel F., and O’Kane, Cecilia
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- 2022
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38. Towards a biological definition of ARDS: are treatable traits the solution?
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Bos, Lieuwe D. J., Laffey, John G., Ware, Lorraine B., Heijnen, Nanon F. L., Sinha, Pratik, Patel, Brijesh, Jabaudon, Matthieu, Bastarache, Julie A., McAuley, Daniel F., Summers, Charlotte, Calfee, Carolyn S., and Shankar-Hari, Manu
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39. Geoeconomic variations in epidemiology, ventilation management, and outcomes in invasively ventilated intensive care unit patients without acute respiratory distress syndrome: a pooled analysis of four observational studies
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Martinez, Amadeu, Leal, Livia, Jorge Pereira, Antonio, de Oliveira Maia, Marcelo, Neto, Josè Aires, Piras, Claudio, Caser, Eliana Bernadete, Moreira, Cora Lavigne, Braga Gusman, Pablo, Dalcomune, Dyanne Moysés, Ribeiro de Carvalho, Alexandre Guilherme, Gondim, Louise Aline Romão, Castelo Branco Reis, Lívia Mariane, da Cunha Ribeiro, Daniel, de Assis Simões, Leonardo, Campos, Rafaela Siqueira, Fernandez Versiani dos Anjos, José Carlos, Bruzzi Carvalho, Frederico, Alves, Rossine Ambrosio, Nunes, Lilian Batista, Réa-Neto, Álvaro, de Oliveira, Mirella Cristine, Tannous, Luana, Cardoso Gomes, Brenno, Rodriguez, Fernando Borges, Abelha, Priscila, Lugarinho, Marcelo E, Japiassu, Andre, de Melo, Hélder Konrad, Lopes, Elton Afonso, Varaschin, Pedro, de Souza Dantas, Vicente Cés, Freitas Knibel, Marcos, Ponte, Micheli, de Azambuja Rodrigues, Pedro Mendes, Costa Filho, Rubens Carmo, Saddy, Felipe, Wanderley Castellões, Théia Forny, Silva, Suzana Alves, Osorio, Luiz Antonio Gomes, Mannarino, Dora, Espinoza, Rodolfo, Righy, Cassia, Soares, Marcio, Salluh, Jorge, Tanaka, Lilian, Aragão, Daniel, Tavares, Maria Eduarda, Kehdi, Maura Goncalves Pereira, Rezende, Valéria Maria Campos, Carbonell, Roberto Carlos Cruz, Teixeira, Cassiano, de Oliveira, Roselaine Pinheiro, Maccari, Juçara Gasparetto, Castro, Priscylla Souza, Berto, Paula, Schwarz, Patricia, Torelly, André Peretti, Lisboa, Thiago, Moraes, Edison, Dal-Pizzol, Felipe, Tomasi Damiani, Cristiane, Ritter, Cristiane, Ferreira, Juliana Carvalho, Teixeira Costa, Ramon, Caruso, Pedro, Amendola, Cristina Prata, de Oliveira, Amanda Maria R R, Silva, Ulysses V A, Sanches, Luciana Coelho, Almeida, Rosana D S, Azevedo, Luciano Cesar, Park, Marcelo, Schettino, Guilherme, Assunção, Murillo Santucci, Silva, Eliezer, Barboza, Carlos Eduardo, Junior, Antonio Paulo Nassar, Marzocchi Tierno, Paulo Fernando G M, Malbouisson, Luis Marcelo, Oliveira, Lucas, Cristovao, Davi, Neto, Manoel Leitão, Rego, Ênio, Fernandes, Fernanda Eugênia, Romano, Marcelo Luz Pereira, Cavalcanti, Alexandre Biasi, de Souza Barros, Dalton, Suzumura, Érica Aranha, Meira, Karla Loureiro, de Oliveira, Gustavo Affonso, Luciano, Paula Menezes, Pacheco, Evelin Drociunas, Mazza, Bruno Franco, Machado, Flavia Ribeiro, Ferreira, Elaine, dos Santos, Ronaldo Batista, Colombo, Alexandra Siqueira, Nogueira, Antonio Carlos, Fernandes, Juliana Baroni, Nóbrega, Raquel Siqueira, do CS Martins, Barbara, Soriano, Francisco, Morsch, Rafaela Deczka, Nunes, Andre Luiz Baptiston, de Almeida, Juliano Pinheiro, Hajjar, Ludhmila, Moulin, Sílvia, Giannini, Fábio Poianas, Baptiston Nunes, Andre Luiz, Rios, Fernando, Van Haren, Frank, Sottiaux, T, Lora, Fredy S, Azevedo, Luciano C, Depuydt, P, Fan, Eddy, Bugedo, Guillermo, Qiu, Haibo, Gonzalez, Marcos, Silesky, Juan, Cerny, Vladimir, Nielsen, Jonas, Jibaja, Manuel, Pham, Tài, Wrigge, Hermann, Matamis, Dimitrios, Ranero, Jorge Luis, Hashemian, S M, Amin, Pravin, Clarkson, Kevin, Bellani, Giacomo, Kurahashi, Kiyoyasu, Villagomez, Asisclo, Zeggwagh, Amine Ali, Heunks, Leo M, Laake, Jon Henrik, Palo, Jose Emmanuel, do Vale Fernandes, Antero, Sandesc, Dorel, Arabi, Yaasen, Bumbasierevic, Vesna, Lorente, Jose A, Larsson, Anders, Piquilloud, Lise, Abroug, Fekri, McAuley, Daniel F, McNamee, Lia, Hurtado, Javier, Bajwa, Ed, Démpaire, Gabriel, Francois, Guy M, Sula, Hektor, Nunci, Lordian, Cani, Alma, Zazu, Alan, Dellera, Christian, Insaurralde, Carolina S, Alejandro, Risso V, Daldin, Julio, Vinzio, Mauricio, Fernandez, Ruben O, Cardonnet, Luis P, Bettini, Lisandro R, Bisso, Mariano Carboni, Osman, Emilio M, Setten, Mariano G, Lovazzano, Pablo, Alvarez, Javier, Villar, Veronica, Milstein, Cesar, Pozo, Norberto C, Grubissich, Nicolas, Plotnikow, Gustavo A, Vasquez, Daniela N, Ilutovich, Santiago, Tiribelli, Norberto, Chena, Ariel, Pellegrini, Carlos A, Saenz, María G, Estenssoro, Elisa, Brizuela, Matias, Gianinetto, Hernan, Gomez, Pablo E, Cerrato, Valeria I, Bezzi, Marco G, Borello, Silvina A, Loiacono, Flavia A, Fernandez, Adriana M, Knowles, Serena, Reynolds, Claire, Inskip, Deborah M, Miller, Jennene J, Kong, Jing, Whitehead, Christina, Bihari, Shailesh, Seven, Aylin, Krstevski, Amanda, Rodgers, Helen J, Millar, Rebecca T, Mckenna, Toni E, Bailey, Irene M, Hanlon, Gabrielle C, Aneman, Anders, Lynch, Joan M, Azad, Raman, Neal, John, Woods, Paul W, Roberts, Brigit L, Kol, Mark R, Wong, Helen S, Riss, Katharina C, Staudinger, Thomas, Wittebole, Xavier, Berghe, Caroline, Bulpa, Pierre A, Dive, Alain M, Verstraete, Rik, Lebbinck, Herve, Depuydt, Pieter, Vermassen, Joris, Meersseman, Philippe, Ceunen, Helga, Rosa, Jonas I, Beraldo, Daniel O, Ampinelli, Adenilton M R, Nassar Jr, Antonio P, Mataloun, Sergio, Moock, Marcelo, Thompson, Marlus M, Gonçalves, Claudio H, Antônio, Ana Carolina P, Ascoli, Aline, Biondi, Rodrigo S, Fontenele, Danielle C, Nobrega, Danielle, Sales, Vanessa M, Shindhe, Suresh, Ismail, Dk Maizatul Aiman B Pg Hj, Laffey, John, Beloncle, Francois, Davies, Kyle G, Cirone, Rob, Manoharan, Venika, Ismail, Mehvish, Goligher, Ewan C, Jassal, Mandeep, Nishikawa, Erin, Javeed, Areej, Curley, Gerard, Rittayamai, Nuttapol, Parotto, Matteo, Ferguson, Niall D, Mehta, Sangeeta, Knoll, Jenny, Pronovost, Antoine, Canestrini, Sergio, Bruhn, Alejandro R, Garcia, Patricio H, Aliaga, Felipe A, Farías, Pamela A, Yumha, Jacob S, Ortiz, Claudia A, Salas, Javier E, Saez, Alejandro A, Vega, Luis D, Labarca, Eduardo F, Martinez, Felipe T, Carreño, Nicolás G, Lora, Pilar, Liu, Haitao, Liu, Ling, Tang, Rui, Luo, Xiaoming, An, Youzhong, Zhao, Huiying, Gao, Yan, Zhai, Zhe, Ye, Zheng L, Wang, Wei, Li, Wenwen, Li, Qingdong, Zheng, Ruiqiang, Yu, Wenkui, Shen, Juanhong, Li, Xinyu, Yu, Tao, Lu, Weihua, Wu, Ya Q, Huang, Xiao B, He, Zhenyang, Lu, Yuanhua, Han, Hui, Zhang, Fan, Sun, Renhua, Wang, Hua X, Qin, Shu H, Zhu, Bao H, Zhao, Jun, Liu, Jian, Li, Bin, Liu, Jing L, Zhou, Fa C, Li, Qiong J, Zhang, Xing Y, Li-Xin, Zhou, Xin-Hua, Qiang, Jiang, Liangyan, Gao, Yuan N, Zhao, Xian Y, Li, Yuan Y, Li, Xiao L, Wang, Chunting, Yao, Qingchun, Yu, Rongguo, Chen, Kai, Shao, Huanzhang, Qin, Bingyu, Huang, Qing Q, Zhu, Wei H, Hang, Ai Y, Hua, Ma X, Li, Yimin, Xu, Yonghao, Di, Yu D, Ling, Long L, Qin, Tie H, Wang, Shou H, Qin, Junping, Han, Yi, Zhou, Suming, Vargas, Monica P, Silesky Jimenez, Juan I, González Rojas, Manuel A, Solis-Quesada, Jaime E, Ramirez-Alfaro, Christian M, Máca, Jan, Sklienka, Peter, Gjedsted, Jakob, Christiansen, Aage, Villamagua, Boris G, Llano, Miguel, Burtin, Philippe, Buzancais, Gautier, Beuret, Pascal, Pelletier, Nicolas, Mortaza, Satar, Mercat, Alain, Chelly, Jonathan, Jochmans, Sébastien, Terzi, Nicolas, Daubin, Cédric, Carteaux, Guillaume, de Prost, Nicolas, Chiche, Jean-Daniel, Daviaud, Fabrice, Pham, Tai, Fartoukh, Muriel, Barberet, Guillaume, Biehler, Jerome, Dellamonica, Jean, Doyen, Denis, Arnal, Jean-Michel, Briquet, Anais, Hraiech, Sami, Papazian, Laurent, Follin, Arnaud, Roux, Damien, Messika, Jonathan, Kalaitzis, Evangelos, Dangers, Laurence, Combes, Alain, Au, Siu-Ming, Béduneau, Gaetan, Carpentier, Dorothée, Zogheib, Elie H, Dupont, Herve, Ricome, Sylvie, Santoli, Francesco L, Besset, Sebastien L, Michel, Philippe, Gelée, Bruno, Danin, Pierre-Eric, Goubaux, Bernard, Crova, Philippe J, Phan, Nga T, Berkelmans, Frantz, Badie, Julio C, Tapponnier, Romain, Gally, Josette, Khebbeb, Samy, Herbrecht, Jean-Etienne, Schneider, Francis, Declercq, Pierre-Louis M, Rigaud, Jean-Philippe, Duranteau, Jacques, Harrois, Anatole, Chabanne, Russell, Marin, Julien, Bigot, Charlene, Thibault, Sandrine, Ghazi, Mohammed, Boukhazna, Messabi, Ould Zein, Salem, Richecoeur, Jack R, Combaux, Daniele M, Grelon, Fabien, Le Moal, Charlene, Sauvadet, Elise P, Robine, Adrien, Lemiale, Virginie, Reuter, Danielle, Dres, Martin, Demoule, Alexandre, Goldgran-Toledano, Dany, Baboi, Loredana, Guérin, Claude, Lohner, Ralph, Kraßler, Jens, Schäfer, Susanne, Zacharowski, Kai D, Meybohm, Patrick, Reske, Andreas W, Simon, Philipp, Hopf, Hans-Bernd F, Schuetz, Michael, Baltus, Thomas, Papanikolaou, Metaxia N, Papavasilopoulou, Theonymfi G, Zacharas, Giannis A, Ourailogloy, Vasilis, Mouloudi, Eleni K, Massa, Eleni V, Nagy, Eva O, Stamou, Electra E, Kiourtzieva, Ellada V, Oikonomou, Marina A, Avila, Luis E, Cortez, Cesar A, Citalán, Johanna E, Jog, Sameer A, Sable, Safal D, Shah, Bhagyesh, Gurjar, Mohan, Baronia, Arvind K, Memon, Mohammedfaruk, Muthuchellappan, Radhakrishnan, Ramesh, Venkatapura J, Shenoy, Anitha, Unnikrishnan, Ramesh, Dixit, Subhal B, Rhayakar, Rachana V, Ramakrishnan, Nagarajan, Bhardwaj, Vallish K, Mahto, Heera L, Sagar, Sudha V, Palaniswamy, Vijayanand, Ganesan, Deeban, Mohammadreza Hashemian, Seyed, Jamaati, Hamidreza, Heidari, Farshad, Meaney, Edel A, Nichol, Alistair, Knapman, Karl M, O'Croinin, Donall, Dunne, Eimhin S, Breen, Dorothy M, Clarkson, Kevin P, Jaafar, Rola F, Dwyer, Rory, Amir, Fahd, Ajetunmobi, Olaitan O, O'Muircheartaigh, Aogan C, Black, Colin S, Treanor, Nuala, Collins, Daniel V, Altaf, Wahid, Zani, Gianluca, Fusari, Maurizio, Spadaro, Savino, Volta, Carlo A, Graziani, Romano, Brunettini, Barbara, Palmese, Salvatore, Formenti, Paolo, Umbrello, Michele, Lombardo, Andrea, Pecci, Elisabetta, Botteri, Marco, Savioli, Monica, Protti, Alessandro, Mattei, Alessia, Schiavoni, Lorenzo, Tinnirello, Andrea, Todeschini, Manuel, Giarratano, Antonino, Cortegiani, Andrea, Sher, Sara, Rossi, Anna, Antonelli, Massimo M, Montini, Luca M, Casalena, Paolo, Scafetti, Sergio, Panarello, Giovanna, Occhipinti, Giovanna, Patroniti, Nicolò, Pozzi, Matteo, Biscione, Roberto R, Poli, Michela M, Raimondi, Ferdinando, Albiero, Daniela, Crapelli, Giulia, Beck, Eduardo, Pota, Vincenzo, Schiavone, Vincenzo, Molin, Alexandre, Tarantino, Fabio, Monti, Giacomo, Frati, Elena, Mirabella, Lucia, Cinnella, Gilda, Fossali, Tommaso, Colombo, Riccardo, Terragni, Pierpaolo, Pattarino, Ilaria, Mojoli, Francesco, Braschi, Antonio, Borotto, Erika E, Cracchiolo, Andrea N, Palma, Daniela M, Raponi, Francesco, Foti, Giuseppe, Vascotto, Ettore R, Coppadoro, Andrea, Brazzi, Luca, Floris, Leda, Iotti, Giorgio A, Venti, Aaron, Yamaguchi, Osamu, Takagi, Shunsuke, Maeyama, Hiroki N, Watanabe, Eizo, Yamaji, Yoshihiro, Shimizu, Kazuyoshi, Shiozaki, Kyoko, Futami, Satoru, Ryosuke, Sekine, Saito, Koji, Kameyama, Yoshinobu, Ueno, Keiko, Izawa, Masayo, Okuda, Nao, Suzuki, Hiroyuki, Harasawa, Tomofumi, Nasu, Michitaka, Takada, Tadaaki, Ito, Fumihito, Nunomiya, Shin, Koyama, Kansuke, Abe, Toshikazu, Andoh, Kohkichi, Kusumoto, Kohei, Hirata, Akira, Takaba, Akihiro, Kimura, Hiroyasu, Matsumoto, Shuhei, Higashijima, Ushio, Honda, Hiroyuki, Aoki, Nobumasa, Imai, Hiroshi, Ogino, Yasuaki, Mizuguchi, Ichiko, Ichikado, Kazuya, Nitta, Kenichi, Mochizuki, Katsunori, Hashida, Tomoaki, Tanaka, Hiroyuki, Nakamura, Tomoyuki, Niimi, Daisuke, Ueda, Takeshi, Kashiwa, Yozo, Uchiyama, Akinori, Sabelnikovs, Olegs, Oss, Peteris, Haddad, Youssef, Liew, Kong Y, Ñamendys-Silva, Silvio A, Jarquin-Badiola, Yves D, Sanchez-Hurtado, Luis A, Gomez-Flores, Saira S, Marin, Maria C, Villagomez, Asisclo J, Lemus, Jordana S, Fierro, Jonathan M, Cervantes, Mavy Ramirez, Mejia, Francisco Javier Flores, Gonzalez, Daniel R, Dector, Dulce M, Estrella, Claudia R, Sanchez-Medina, Jorge R, Ramirez-Gutierrez, Alvaro, George, Fernando G, Aguirre, Janet S, Buensuseso, Juan A, Poblano, Manuel, Dendane, Tarek, Balkhi, Hicham, Elkhayari, Mina, Samkaoui, Nacer, Ezzouine, Hanane, Benslama, Abdellatif, Amor, Mourad, Maazouzi, Wajdi, Cimic, Nedim, Beck, Oliver, Bruns, Monique M, Schouten, Jeroen A, Rinia, Myra, Raaijmakers, Monique, Van Wezel, Hellen M, Heines, Serge J, Buise, Marc P, Simonis, Fabienne D, Schultz, Marcus J, Goodson, Jennifer C, rowne, Troy S B, Navarra, Leanlove, Hunt, Anna, Hutchison, Robyn A, Bailey, Mathew B, Newby, Lynette, Mcarthur, Colin, Kalkoff, Michael, Mcleod, Alex, Casement, Jonathan, Hacking, Danielle J, Andersen, Finn H, Dolva, Merete S, Laake, Jon H, Barratt-Due, Andreas, Noremark, Kim Andre L, Søreide, Eldar, Sjøbø, Brit Å, Guttormsen, Anne B, Yoshido, Hector H Leon, Aguilar, Ronald Zumaran, Oscanoa, Fredy A Montes, Alisasis, Alain U, Robles, Joanne B, Pasanting-Lim, Rossini Abbie B, Tan, Beatriz C, Andruszkiewicz, Pawel, Jakubowska, Karina, Cox, Cristina M, Alvarez, António M, Oliveira, Bruno S, Montanha, Gustavo M, Barros, Nelson C, Pereira, Carlos S, Messias, António M, Monteiro, Jorge M, Araujo, Ana M, Catorze, Nuno T, Marum, Susan M, Bouw, Maria J, Gomes, Rui M, Brito, Vania A, Castro, Silvia, Estilita, Joana M, Barros, Filipa M, Serra, Isabel M, Martinho, Aurelia M, Tomescu, Dana R, Marcu, Alexandra, Bedreag, Ovidiu H, Papurica, Marius, Corneci, Dan E, Negoita, Silvius Ioan, Grigoriev, Evgeny, Gritsan, Alexey I, Gazenkampf, Andrey A, Almekhlafi, Ghaleb, Albarrak, Mohamad M, Mustafa, Ghanem M, Maghrabi, Khalid A, Salahuddin, Nawal, Aisa, Tharwat M, Al Jabbary, Ahmed S, Tabhan, Edgardo, Arabi, Yaseen M, Trinidad, Olivia A, Al Dorzi, Hasan M, Tabhan, Edgardo E, Bolon, Stefan, Smith, Oliver, Mancebo, Jordi, Aguirre-Bermeo, Hernan, Lopez-Delgado, Juan C, Esteve, Francisco, Rialp, Gemma, Forteza, Catalina, De Haro, Candelaria, Artigas, Antonio, Albaiceta, Guillermo M, De Cima-Iglesias, Sara, Seoane-Quiroga, Leticia, Ceniceros-Barros, Alexandra, Ruiz-Aguilar, Antonio L, Claraco-Vega, Luis M, Soler, Juan Alfonso, Lorente, Maria del Carmen, Hermosa, Cecilia, Gordo, Federico, Prieto-González, Miryam, López-Messa, Juan B, Perez, Manuel P, Pere, Cesar P, Allue, Raquel Montoiro, Roche-Campo, Ferran, Ibañez-Santacruz, Marcos, Temprano, Susana, Pintado, Maria C, De Pablo, Raul, Gómez, Pilar Ricart Aroa, Ruiz, Silvia Rodriguez, Moles, Silvia Iglesias, Jurado, Mª Teresa, Arizmendi, Alfons, Piacentini, Enrique A, Franco, Nieves, Honrubia, Teresa, Perez Cheng, Meisy, Perez Losada, Elena, Blanco, Javier, Yuste, Luis J, Carbayo-Gorriz, Cecilia, Cazorla-Barranquero, Francisca G, Alonso, Javier G, Alda, Rosa S, Algaba, Ángela, Navarro, Gonzalo, Cereijo, Enrique, Diaz-Rodriguez, Esther, Marcos, Diego Pastor, Montero, Laura Alvarez, Para, Luis Herrera, Sanchez, Roberto Jimenez, Blasco Navalpotro, Miguel Angel, Abad, Ricardo Diaz, Montiel González, Raquel, Toribio, Dácil Parrilla, Castro, Alejandro G, Artiga, Maria Jose D, Penuelas, Oscar, Roser, Tomas P, Olga, Moreno F, Curto, Elena Gallego, Sánchez, Rocío Manzano, Imma, Vallverdu P, Elisabet, Garcia M, Claverias, Laura, Magret, Monica, Pellicer, Ana M, Rodriguez, Lucia L, Sánchez-Ballesteros, Jesús, González-Salamanca, Ángela, Jimenez, Antonio G, Huerta, Francisco P, Diaz, Juan Carlos J Sotillo, Lopez, Esther Bermejo, Moya, David D Llinares, Alfonso, Alec A Tallet, Eugenio Luis, Palazon Sanchez, Cesar, Palazon Sanchez, Rafael, Sánchez I, Virgilio, Corcoles G, Recio, Noelia N, Adamsson, Richard O, Rylander, Christian C, Holzgraefe, Bernhard, Broman, Lars M, Wessbergh, Joanna, Persson, Linnea, Schiöler, Fredrik, Kedelv, Hans, Tibblin, Anna Oscarsson, Appelberg, Henrik, Hedlund, Lars, Helleberg, Johan, Eriksson, Karin E, Glietsch, Rita, Larsson, Niklas, Nygren, Ingela, Nunes, Silvia L, Morin, Anna-Karin, Kander, Thomas, Adolfsson, Anne, Zender, Hervé O, Leemann-Refondini, Corinne, Elatrous, Souheil, Bouchoucha, Slaheddine, Chouchene, Imed, Ouanes, Islem, Ben Souissi, Asma, Kamoun, Salma, Demirkiran, Oktay, Aker, Mustafa, Erbabacan, Emre, Ceylan, Ilkay, Girgin, Nermin Kelebek, Ozcelik, Menekse, Ünal, Necmettin, Meco, Basak Ceyda, Akyol, Onat O, Derman, Suleyman S, Kennedy, Barry, Parhar, Ken, Srinivasa, Latha, McAuley, Danny, Steinberg, Jack, Hopkins, Phil, Mellis, Clare, Stansil, Frank, Kakar, Vivek, Hadfield, Dan, Brown, Christine, Vercueil, Andre, Bhowmick, Kaushik, Humphreys, Sally K, Ferguson, Andrew, Mckee, Raymond, Raj, Ashok S, Fawkes, Danielle A, Watt, Philip, Twohey, Linda, Thomas, Rajeev R Jha Matthew, Morton, Alex, Kadaba, Varsha, Smith, Mark J, Hormis, Anil P, Kannan, Santhana G, Namih, Miriam, Reschreiter, Henrik, Camsooksai, Julie, Kumar, Alek, Rugonfalvi, Szabolcs, Nutt, Christopher, Oneill, Orla, Seasman, Colette, Dempsey, Ged, Scott, Christopher J, Ellis, Helen E, Mckechnie, Stuart, Hutton, Paula J, Di Tomasso, Nora N, Vitale, Michela N, Griffin, Ruth O, Dean, Michael N, Cranshaw, Julius H, Willett, Emma L, Ioannou, Nicholas, Gillis, Sarah, Csabi, Peter, Macfadyen, Rosaleen, Dawson, Heidi, Preez, Pieter D, Williams, Alexandra J, Boyd, Owen, De Gordoa, Laura Ortiz-Ruiz, Bramall, Jon, Symmonds, Sophie, Chau, Simon K, Wenham, Tim, Szakmany, Tamas, Toth-Tarsoly, Piroska, Mccalman, Katie H, Alexander, Peter, Stephenson, Lorraine, Collyer, Thomas, Chapman, Rhiannon, Cooper, Raphael, Allan, Russell M, Sim, Malcolm, Wrathall, David W, Irvine, Donald A, Zantua, Kim S, Adams, John C, Burtenshaw, Andrew J, Sellors, Gareth P, Welters, Ingeborg D, Williams, Karen E, Hessell, Robert J, Oldroyd, Matthew G, Battle, Ceri E, Pillai, Suresh, Kajtor, Istvan, Sivashanmugave, Mageswaran, Okane, Sinead C, Donnelly, Adrian, Frigyik, Aniko D, Careless, Jon P, May, Martin M, Stewart, Richard, Trinder, T John, Hagan, Samantha J, Wise, Matt P, Cole, Jade M, MacFie, Caroline C, Dowling, Anna T, Nin, Nicolás, Nuñez, Edgardo, Pittini, Gustavo, Rodriguez, Ruben, Imperio, María C, Santos, Cristina, França, Ana G, Ebeid, Alejandro, Deicas, Alberto, Serra, Carolina, Uppalapati, Aditya, Kamel, Ghassan, Banner-Goodspeed, Valerie M, Beitler, Jeremy R, Mukkera, Satyanarayana Reddy, Kulkarni, Shreedhar, Lee, Jarone, Mesar, Tomaz, Shinn Iii, John O, Gomaa, Dina, Tainter, Christopher, Cowley, R Adams, Yeatts, Dale J, Warren, Jessica, Lanspa, Michael J, Miller, Russel R, Grissom, Colin K, Brown, Samuel M, Bauer, Philippe R, Gosselin, Ryan J, Kitch, Barrett T, Cohen, Jason E, Beegle, Scott H, Gueret, Renaud M, Tulaimat, Aiman, Choudry, Shazia, Stigler, William, Batra, Hitesh, Huff, Nidhi G, Lamb, Keith D, Oetting, Trevor W, Mohr, Nicholas M, Judy, Claine, Saito, Shigeki, Kheir, Fayez M, Schlichting, Adam B, Delsing, Angela, Elmasri, Mary, Crouch, Daniel R, Ismail, Dina, Blakeman, Thomas C, Dreyer, Kyle R, Baron, Rebecca M, Grijalba, Carolina Quintana, Hou, Peter C, Seethala, Raghu, Aisiku, Imo, Henderson, Galen, Frendl, Gyorgy, Hou, Sen-Kuang, Owens, Robert L, Schomer, Ashley, Bumbasirevic, Vesna, Jovanovic, Bojan, Surbatovic, Maja, Veljovic, Milic, Rodgers, Helen, Dixon, Barry, Smith, Roger, Kol, Mark, Wong, Helen, Schmid, Werner, Hermans, Greet, Bourgeois, Marc, Anquez, Nathalie, Decruyenaere, Johan, DeCrop, Luc, Neto, Ary Serpa, Souza dos Santos, Rafaella, Beraldo, Daniel, dos Santos, Moreno Calcagnotto, Pellegrini, Jose Augusto Santos, Oliveira, Vanessa, Munhoz, Carlos, Peçanha, Ana Carolina, da Silva Ramos, Fernando José, Maia, Israel, Bahl, Marina, Biondi, Rodrigo, Prado, Daniel, Pinto, Sérgio Felix, Salgado, Jean, Falcão, Luis Fernando, Macruz, Tiago, Ruas, Kessia, Mecatti, Giovana Colozza, Caser, Eliane Bernadete, Gava, Isabela Ambrósio, Carreño, Nicolás, Morales, Mauricio, Avendaño, Rossana, Aguirre, Stefania, Sribar, Andrej, Klaric, Vlasta, Skilijic, Sonja, Dvorscak, Matea Bogdanovic, Krkusek, Marijana, Jurjevic, Matija, Karanovic, Nenad, Simurina, Tatjana, Stourac, Petr, Kratochvil, Milan, Schlegel, Christian, Treschan, Tanja A, Schaefer, Maximilian, Aytulun, Akut, Kienbaum, Peter, Jaafar, Rola, Collins, Daniel, Plant, Robert, Melchionda, Giuseppe, Di Lauro, Eduardo, Russotto, Vincenzo, Caione, Raffaele, Mestria, Donatella, Volta, Carlo Alberto, Seghelini, Elisa, Sales, Gabriele, D'Antini, Davide, Severgnini, Paolo, Bacuzzi, Alessandro, Peluso, Lorenzo, Verrastro, Pasquale, Raimondo, Pasquale, Gecaj-Gashi, Agreta, Tuinman, Pieter Roel, Alberts, Erna, van den Hul, Ingrid, Kuiper, Michael, de Wilde, Robert BP, Koopmans, Matty, Kose, Isil, Zincircioglu, Çiler, Dogan, Nazim, Aydin, Demet, Denker, Ahmet Sukru, Buyukkocak, Unase, Akgun, Nur, Turan, Güldem, Senturk, Evren, Demirtürk, Zerrin, Özcan, Perihan Ergin, Ekinci, Osman, Saylan, Sedat, Eren, Gulay, Ulger, Fatma, Dilek, Ahmet, Ulusoy, Hulya, Goktas, Ugur, Soyoral, Lokman, Toman, Huseyin, Orak, Yavuz, Kahveci, Feda, Mills, Gary H, Pinder, Angela, Walker, Rachel, Harrison, Jonathan, Snell, Jane, Pearson, Rachel, Sharman, Michael, Kaloo, Claire, Bynorth, Natalie, Matthews, Kelly, Hughes, Chloe, Rose, Alastair, Simeson, Karen, Niska, Lotta, Huneke, Nathan, Adderly, Jane, Padilla-Harris, Cheryl, Oliver, Rebecca, Brohi, Farooq, Wilson, Natalie, Talbot, Helen, Wilson, Deborah, Smith, Deborah, Dark, Paulo, Evans, Tracey, Fisher, Nicola, Montgomery, Jane, Fitzell, Pauline, Muench, Christoph, Hugill, Keith, Cirstea, Emanuel, Bentley, Andrew, Lynch, Katie, White, Ian, Cooper, Jonathan, Brazier, Melinda, Devile, Michael, Parris, Michael, Gill, Pardeep, Patel, Tasmin, Criswell, John, Trodd, Dawn, Griffin, Denise, Martin, Jane, Wreybrown, Caroline, Bewley, Jeremy, Sweet, Katie, Grimmer, Lisa, Kozlowski, Marta, James, Shanaz, Limb, James, Cowton, Amanda, Rogerson, David, Downes, Charlotte, Melbourne, Susan, Humphries, Ryan, Pulletz, Mark, Moreton, Sarah, Janes, Stephanie, Corner, Andrew, Linnett, Vanessa, Ritzema, Jenny, Watters, Malcolm, Windebank, Steve, Chenna, Shailaja, Howard-Griffin, Richard, Turner, Kate, Suresh, Sheeba, Blaylock, Heather, Bell, Stephanie, Blenk, Karl, Everett, Lynn, Hadfield, Daniel, Harris, Clair, Chan, Alexandre, Birch, Sian, Pegg, Claire, Plowright, Catherine, Cooper, Lucy, Hatton, Tom, McCullagh, Iain, Wright, Stephen, Scott, Carmen, Boyd, Christine, Holliday, Mark, Poultney, Una, Crowther, Hannah, Thornthwaite, Sarah, Hollister, Nigel, Hunt, Jane, Skinner, Amanda, Matsa, Ramprasad, Salt, Ruth, Matthews, Claire, Venner, Nicola, Barcraft-Barnes, Helena, Tbaily, Lee, Pogson, David, Mouland, Johanna, Rose, Steve, Lamb, Nicola, Tarmey, Nicholas, Knighton, John, Giles, Julian, Weller, Debbie, Reed, Isabelle, Hormis, Anil, Pearson, Sallyane, Harris, Meredith, Howe, Joanne, Paddle, Jonathan, Burt, Karen, Welters, Ingeborg, Walker, Anna, Youds, Laura, Hendry, Sam, Shaw, David, Williams, Karen, Hollands, Robin, Carnahan, Mandy, Stickley, Johanna, Miller, Claire, Donaldson, Denise, Tonks, Louise, Creagh-Brown, Ben, Hull, Daniel, Ortiz-Ruiz, Laura, Gopal, Shammer, Metherell, Stella, Spencer, Hazel, Frey, Christian, Brown, Carly, Clifford, Gayle, Leaver, Susannah, Ryan, Christine, Mellinghoff, Johannes Mellinghoff, Prudden, Sarah Prudden, Green, Helen Green, Roy, Alistair Roy, Furneval, Julie Furneval, Bell, Adam Bell, Lakhani, Sandeep Lakhani, Fasting, Lousie Fasting, Murray, Lorna Murray, Preller, Kobus, McInerney, Amy, Beavis, Sarah, Whileman, Amanda, Toms, Julie, Glenn, Sue, Ramali, Mohamed, Ghosh, Alison, Bullock, Clare, Barrell, Lisa, Young, Eoin, Robertson, Helen, Faulkner, Maria, MacNaughton, Peter, Tyson, Susan, Pulak, Paul, Sewell, Terri-Ann, Smalley, Christopher, Jacob, Reni, Alzugaray, Pedro, Vidal Melo, Marcos F, Joyce, Kristen, Needleman, Joseph, Ahsan, Areef, Faiz, Abul, Alam, AKM Shamsul, Khatoon, Syeda Nafisa, Nath, Ranjan Kumer, Rahman Chowdhury, Mohammed Abdur, Banik, Debabrata, Mondol, Montosh Kumar, Bhuiyan, Sakibur Rahman, Nazneed, Suraiya, Sultana, Rozina, Hamid, Tarikul, Hossain, Mozaffer, Reza, Syed Tariq, Asaduzzaman, Muhammad, Salim, Mohammad, Mostafa Kamal, Abu Hena, Taher, Sheikh Mohammed, Taohid, Taohidul Majid, Karmaker, Pranab, Roy, Sabyasachi, Das, Shantanu, Sarkar, Sohel Ahmed, Dutta, Monju Lal, Roy, Poulomi, Iyer, Shivakumar, Krishna, Bhuvana, Sampath, Sriram, Pattnaik, Rajyabardhan, Kasi, Chinni Krishna, Shah, Jignesh, Dongre, Anand, Reza Hashemian, Seyed Mohammad, Nooraei, Navid, Raessi Estabragh, Reza, Malekmohammad, Majid, Khoundabi, Batoul, Mobasher, Maziar, Mohd Yunos, Nor'azim, Kassim, Mahazir, Voon, Chern Min, Das, Stanis Sutharsa, Azauddin, Siti Nur Suhaila, Dorasamy, Dharshinie, Tai, Li Ling, Mat Nor, Mohd Basri, Zarudin, Nurhafizah, Hasan, Mohd Shahnaz, Jamaluddin, Mohamad Fadhil Hadi, Othman Jailani, Mohamad Irfan, Kayashta, Gyan, Adhikari, Aaradhana, Pangeni, Raju, Hashmi, Madiha, Joseph, Sonia, Akhtar, Aftab, Qadeer, Aayesha, Memon, Iqbal, Ali, Syed Muneeb, Idrees, Farah, Kamal, Saima, Hanif, Sadaf, Rehman, Atta Ur, Taqi, Arshad, Hussain, Tanveer, Farooq, Ahmed, Khaskheli, Saleh, Hayat, Muhammad, Indraratna, Kanishka, Beane, Abigail, Haniffa, Rashan, Samaranayake, Upeka, Mathanalagan, Sathiyamoorthy, Gunaratne, Asoka, Mithraratne, Nimangee, Thilakasiri, Kaushila, Pilimatalawwe, Chamila, Dilhani, Y A Hasitha, Fernando, Marie, Ranatunge, Kumudini, Samarasinghe, Loranthi, Vaas, Manori, Edirisooriya, Manoj, Sigera, Chathurani, Arumoli, Janaki, De Silva, Kesharie, Kudavidanage, Bimal, Pinto, Visanthi, Dissanayake, Lakshman, Chittawatanarat, Kaweesak, Kongpolprom, Napplika, Silachamroon, Udomsak, Pornsuriyasak, Prapaporn, Petnak, Tananchai, Singhatas, Pongsasit, Tangsujaritvijit, Viratch, Rungruanghiranya, Suthat, Piriyapatsom, Annop, Juntaping, Kanokkarn, Trongtrakul, Konlawij, Thungtitigul, Poungrat, Tajarernmuang, Pattraporn, Chatmongkolchart, Sunisa, Bhurayanontachai, Rungsun, Akaraborworn, Osaree, Navasakulpong, Asma, Surasit, Karjbundid, Thwaites, Louise, Nadjm, Behzad, Vu Quoc, Dat, Nguyen Thi Thanh, Ha, Nguyen Van, Kinh, Duong Bich, Thuy, Lam Minh, Yen, Pisani, Luigi, Algera, Anna Geke, Azevedo, Luciano, Paulus, Frederique, de Abreu, Marcelo Gama, Pelosi, Paolo, Dondorp, Arjen M, and Laffey, John G
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- 2022
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40. Safety, immunogenicity, and efficacy of a COVID-19 vaccine (NVX-CoV2373) co-administered with seasonal influenza vaccines: an exploratory substudy of a randomised, observer-blinded, placebo-controlled, phase 3 trial
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Soiza, Roy L., Brittain-Long, Robin, Scicluna, Chiara, Edwards, Carole, Mackay, Lynn, D'Allesandro, Mariella, Nicol, Amy, Norris, Karen, Mann, Sandra, Lawrence, Heather, Valentine, Ruth, Viljoen, Marianne Elizabeth, Pretswell, Carol H., Nicholls, Helen, Munsoor, Imrozia, Meyrick, Agnieszka, Kyriakidou, Christina, Iyengar, Shalini, Jamal, Arham, Richards, Nick, Price, Helen, Rowbotham, Bridie, Bird, Danielle, Smith, Karen, Littler, Olga, Fielding, Kirsty, Townsend-Rose, Anna, Miller, Karen, Davis, Jessica, Elliot-Garwood, Alison, Trottier, Lauren, Edwards, Paul, McFarland, Margaret, Osanlou, Orod, Longshaw, Laura, Stockport, Jane, Grundy, Lynne, Broad, Katharine Lucy, Regan, Karen, Storton, Kim, Ryan-Wakeling, Declan, Wilson, Brad, Munisamy, Malathy, Wright, John, Shenoy, Anil, English, Beverley, Brear, Lucy, Cicconi, Paola, Boffito, Marta, Milinkovic, Ana, Byrne, Ruth, Movahedi, Roya, Housman, Rosalie, Kara, Naveed, Brown, Ellen, Cipriani, Andrea, Attenburrow, Mary-Jane, Smith, Katharine A., Packham, Jonathan, Sparrow, Geoff, Smith, Richard, Rosier, Josephine M., Saja, Khalid, Nago, Nyasha, Camilleri, Brian, Immanuel, Anita, Hamblin, Mike, Osagie, Rawlings, Mohan, Mahalakshmi, Floyd, Hilary, Goddard, Suzanne, Mutgi, Sanjay, Evans, John, McKeon, Sean, Vilimiene, Neringa, Chicano, Rosavic, Hayre, Rachel, Pandaan, Alice, Henshall, Catherine, Serrano, Sonia, Mazzella, Andrea, Rajeswaran, Thurkka, Mathew, Moncy, Bisnauthsing, Karen, Bremner, Laura, Fok, Henry, Morselli, Franca, Cinardo, Paola, Merrick, Blair, Sowole, Lucy, Broadhead, Samantha, Palmer, Natalie, Cordle, Jessica, Goldsmith, Jaimie Wilson, Cooney, Enya, Jackson, Beth, Jayatilleke, Thilina, Cheng, Zelda, Helliwell, Toby, Chudyk, Adrian, Giemza, Rafaela, Villajin, John Lord, Yogo, Noah, Makanju, Esther, Dulawan, Pearl, Nagra, Deepak, Buazon, April, Russell, Alice, Bird, Georgie, Heer, Amardeep, Sarmiento, Rex, Sanghera, Balraj, Mullin, Melanie, Champion, Adam, Bevan, Aisling, Iqbal, Kinzah, Johnson, Alshia, Clark, Rebecca, Shaw, Sarah, Shaw, Steven, Chalk, Amanda, Lovatt, Martin, Lillicrap, Caroline, Parker, Angela, Hansel, Jan, Wong, Zhi, Gan, Galvin, Tuma, Eyad, Minton, Jane, Murira, Jennifer, Saman, Razan, Hall, Alistair, Holliday, Kyra, Khan, Zara, Calderwood, James, Twigg, George, Baker, Helena, Corrigan, Julie, Houseman, Katy, Raguvanshi, Subhra, Heining, Dominic, Weddell, Jake, Glaves, Liz, Thompson, Kim, Davies, Francis, Lambley Burke, Ruth, Thomson, Emma C., Saralaya, Dinesh, Berry, Lisa, Hopewell, Nancy, Gerdes, Leigh, Pacurar, Mihaela, Faust, Saul N., Turner, Jeremy, Jeanes, Christopher, Cooper, Adele, Keshet-Price, Jocelyn, Coke, Lou, Cambell-Kelly, Melissa, Dhatariya, Ketan, Williams, Claire, Marks, Georgina, Sudbury, James, Rodolico, Lisa, Bradley, Judy, Carr, Sharon, Martin, Roisin, Madden, Angelina, Biagioni, Paul, McKenna, Sonia, Clinton, Alison, O'Kane, Maurice, Carter, Justin, Dewhurst, Matthew, Wetherill, Bill, Hoggarth, Thandiwe, Collins, Katrina Lennon, Chowdhury, Marie, Nathoo, Adil, Heinen, Anna, MacDonald, Orla, Hurducas, Claudia, Cifuentes, Liliana, Gill, Harjeevan, Gibson, Andy, West, Raha, Ewing, Jane, Blacow, Rachel, Haughney, John, MacDonald, Jonathan, Seenan, John Paul, Webb, Stewart, O'Leary, Colin, Muir, Scott, White, Beth, Ritchie, Neil, McAuley, Daniel F., Stewart, Jonathan, D'Alessandro, Mariella, Lakeman, Nicki, Purandare, Laura, Browne, Duncan, Tucker, David, Luck, Peter, Everden, Angharad, Trembath, Lisa, Visick, Michael, Morley, Nick, Reid, Laura, Chenoweth, Helen, Maclean, Kirsty, Sheridan, Ray P., Burden, Tom, Lunt, Craig Francis, Todd, Shirley, Estcourt, Stephanie, Pearce, Jasmine Marie, Wilkins, Suzanne, Love-Rouse, Cathryn, Torok-Pollok, Eva, Youle, Mike, Madge, Sara, Solomon, Danielle, Nandani, Aarti, North, Janet M., Hemat, Nargis, Newport, Rachel, Kalra, Philip A., Chukwu, Chukwuma, Wickens, Olivia, O'Loughlin, Vikki, Mistry, Hema, Harrison, Louise, Oliver, Robert, Peers, Anne-Marie, Zadik, Jess, Doyle, Katie, Chadwick, David R., Colling, Kerry, Wroe, Caroline, Branch, Marie, Chilvers, Alison, Essex, Sarah, Stone, Mark, San Francisco Ramos, Alberto, Beales, Emily, Bird, Olivia, Danos, Zsofia, Fofie, Hazel, Hultin, Cecilia, Ikram, Sabina, Mabesa, Fran, Mescall, Aoife, Pereira, Josyanne, Pearce, Jennifer, Sutton, Natalina, Snashall, Emma, Baxter, David Neil, Bennett, Sara, Suggitt, Debbie, Hughes, Kerry, Woodyatt, Wiesia, Beacon, Lynsey, Kent, Alissa, Cooper, Chris, Rudic, Milan, Tunstall, Simon, Jackson, Matthew, Hombersley, Claire, Moore, Patrick, Cutts, Rebecca, Higham, Andrew, Bukhari, Marwan, Elnaggar, Mohamed, Glover, Michelle, Richardson, Fiona, Dent, Alexandra, Mirza, Shahzeb, Ark, Rajiv, Han, Jennie, Hope, Suzy V., Mitchelmore, Philip J., Osanlou, Rostam, Freedman, Andrew, Cooper, Alison, Burton, Katherine, Katechia, Kashyap, Barrett, Michael, Salkeld, Jo, Hill, Natalie, Lee, Nathaniel, Perkins, Jon, Fox, Polly, Toback, Seth, Galiza, Eva, Cosgrove, Catherine, Galloway, James, Goodman, Anna L, Swift, Pauline A, Rajaram, Sankarasubramanian, Graves-Jones, Alison, Edelman, Jonathan, Burns, Fiona, Minassian, Angela M, Cho, Iksung, Kumar, Lakshmi, Plested, Joyce S, Rivers, E Joy, Robertson, Andreana, Dubovsky, Filip, Glenn, Greg, and Heath, Paul T
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- 2022
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41. Delirium in COVID-19: can we make the unknowns knowns?
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Wilcox, M. Elizabeth, Shankar-Hari, Manu, and McAuley, Daniel F.
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Medical colleges ,Hospital patients ,Health care industry - Abstract
Author(s): M. Elizabeth Wilcox [sup.1] [sup.6], Manu Shankar-Hari [sup.2] [sup.3], Daniel F. McAuley [sup.4] [sup.5] Author Affiliations: (1) grid.417188.3, 0000 0001 0012 4167, Interdepartmental Division of Critical Care, University of [...]
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- 2021
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42. Acute respiratory distress syndrome subphenotypes and differential response to simvastatin: secondary analysis of a randomised controlled trial.
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Calfee, Carolyn S, Delucchi, Kevin L, Sinha, Pratik, Matthay, Michael A, Hackett, Jonathan, Shankar-Hari, Manu, McDowell, Cliona, Laffey, John G, O'Kane, Cecilia M, McAuley, Daniel F, and Irish Critical Care Trials Group
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Irish Critical Care Trials Group ,Humans ,Simvastatin ,Hydroxymethylglutaryl-CoA Reductase Inhibitors ,Positive-Pressure Respiration ,Double-Blind Method ,Time Factors ,Adult ,Aged ,Middle Aged ,Female ,Male ,Respiratory Distress Syndrome ,Rare Diseases ,Clinical Research ,Clinical Trials and Supportive Activities ,Lung ,6.1 Pharmaceuticals ,Evaluation of treatments and therapeutic interventions ,Respiratory ,Good Health and Well Being ,Clinical Sciences ,Public Health and Health Services ,Other Medical and Health Sciences - Abstract
BackgroundPrecision medicine approaches that target patients on the basis of disease subtype have transformed treatment approaches to cancer, asthma, and other heterogeneous syndromes. Two distinct subphenotypes of acute respiratory distress syndrome (ARDS) have been identified in three US-based clinical trials, and these subphenotypes respond differently to positive end-expiratory pressure and fluid management. We aimed to investigate whether these subphenotypes exist in non-US patient populations and respond differently to pharmacotherapies.MethodsHARP-2 was a multicentre, randomised controlled trial of simvastatin (80 mg) versus placebo done in general intensive care units (ICUs) at 40 hospitals in the UK and Ireland within 48 h of onset of ARDS. The primary outcome was ventilator-free days, and secondary outcomes included non-pulmonary organ failure-free days and mortality. In a secondary analysis of HARP-2, we applied latent class analysis to baseline data without consideration of outcomes to identify subphenotypes, and we compared clinical outcomes across subphenotypes and treatment groups.Findings540 patients were recruited to HARP-2. One patient withdrew consent for the use of their data, so data from 539 patients were analysed. In our secondary analysis, a two-class (two subphenotype) model was an improvement over a one-class model (p
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- 2018
43. Acute Respiratory Distress Syndrome
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Adams, Claire E., primary and McAuley, Daniel F., additional
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- 2022
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44. The genomic landscape of Acute Respiratory Distress Syndrome: a meta-analysis by information content of genome-wide studies of the host response.
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Millar, Jonathan E, primary, Clohisey-Hendry, Sara, additional, McManus, Megan, additional, Zechner, Marie, additional, Wang, Bo, additional, Parkinson, Nicholas, additional, Jungnickel, Melissa, additional, Mohamad Zaki, Nureen, additional, Pairo-Castineira, Erola E, additional, Rawlik, Konrad, additional, Rogers, Joshua, additional, Russell, Clark D, additional, Bos, Lieuwe DJ, additional, Meyer, Nuala J, additional, Calfee, Carolyn, additional, McAuley, Daniel F, additional, Shankar-Hari, Manu, additional, and Baillie, J Kenneth, additional
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- 2024
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45. Repair of acute respiratory distress syndrome by stromal cell administration (REALIST) trial: A phase 1 trial
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Gorman, Ellen, Shankar-Hari, Manu, Hopkins, Phil, Tunnicliffe, William S., Perkins, Gavin D., Silversides, Jonathan, McGuigan, Peter, Krasnodembskaya, Anna, Jackson, Colette, Boyle, Roisin, McFerran, Jamie, McDowell, Cliona, Campbell, Christina, McFarland, Margaret, Smythe, Jon, Thompson, Jacqui, Williams, Barry, Curley, Gerard, Laffey, John G., Clarke, Mike, McAuley, Daniel F., and O'Kane, Cecilia M.
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- 2021
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46. Moral distress in end-of-life decisions: A qualitative study of intensive care physicians
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St Ledger, Una, Reid, Joanne, Begley, Ann, Dodek, Peter, McAuley, Daniel F., Prior, Lindsay, and Blackwood, Bronagh
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- 2021
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47. Cigarette smokers have exaggerated alveolar barrier disruption in response to lipopolysaccharide inhalation
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Moazed, Farzad, Burnham, Ellen L, Vandivier, R William, O'Kane, Cecilia M, Shyamsundar, Murali, Hamid, Umar, Abbott, Jason, Thickett, David R, Matthay, Michael A, McAuley, Daniel F, and Calfee, Carolyn S
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Biomedical and Clinical Sciences ,Clinical Sciences ,Acute Respiratory Distress Syndrome ,Tobacco ,Lung ,Prevention ,Tobacco Smoke and Health ,Rare Diseases ,Clinical Research ,2.1 Biological and endogenous factors ,Aetiology ,Respiratory ,Good Health and Well Being ,Administration ,Inhalation ,Adult ,Biomarkers ,Bronchoalveolar Lavage ,Capillary Permeability ,Female ,Humans ,Inflammation ,Inflammation Mediators ,Lipopolysaccharides ,Male ,Pulmonary Alveoli ,Pulmonary Surfactant-Associated Protein D ,Respiratory Distress Syndrome ,Smoking ,Vascular Endothelial Growth Factor A ,ARDS ,Tobacco and the lung ,Respiratory System ,Cardiovascular medicine and haematology ,Clinical sciences - Abstract
RationaleCigarette smoke exposure is associated with an increased risk of the acute respiratory distress syndrome (ARDS); however, the mechanisms underlying this relationship remain largely unknown.ObjectiveTo assess pathways of lung injury and inflammation in smokers and non-smokers with and without lipopolysaccharide (LPS) inhalation using established biomarkers.MethodsWe measured plasma and bronchoalveolar lavage (BAL) biomarkers of inflammation and lung injury in smokers and non-smokers in two distinct cohorts of healthy volunteers, one unstimulated (n=20) and one undergoing 50 μg LPS inhalation (n=30).Measurements and main resultsAfter LPS inhalation, cigarette smokers had increased alveolar-capillary membrane permeability as measured by BAL total protein, compared with non-smokers (median 274 vs 208 μg/mL, p=0.04). Smokers had exaggerated inflammation compared with non-smokers, with increased BAL interleukin-1β (p=0.002), neutrophils (p=0.02), plasma interleukin-8 (p=0.003), and plasma matrix metalloproteinase-8 (p=0.006). Alveolar epithelial injury after LPS was more severe in smokers than non-smokers, with increased plasma (p=0.04) and decreased BAL (p=0.02) surfactant protein D. Finally, smokers had decreased BAL vascular endothelial growth factor (VEGF) (p
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- 2016
48. Neutrophil-Derived Proteases in Lung Inflammation: Old Players and New Prospects.
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Cheetham, Coby J., McKelvey, Michael C., McAuley, Daniel F., and Taggart, Clifford C.
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PNEUMONIA ,CALPAIN ,PROTEOLYTIC enzymes ,SERINE proteinases ,REACTIVE oxygen species ,CATHEPSINS ,LUNG diseases - Abstract
Neutrophil-derived proteases are critical to the pathology of many inflammatory lung diseases, both chronic and acute. These abundant enzymes play roles in key neutrophil functions, such as neutrophil extracellular trap formation and reactive oxygen species release. They may also be released, inducing tissue damage and loss of tissue function. Historically, the neutrophil serine proteases (NSPs) have been the main subject of neutrophil protease research. Despite highly promising cell-based and animal model work, clinical trials involving the inhibition of NSPs have shown mixed results in lung disease patients. As such, the cutting edge of neutrophil-derived protease research has shifted to proteases that have had little-to-no research in neutrophils to date. These include the cysteine and serine cathepsins, the metzincins and the calpains, among others. This review aims to outline the previous work carried out on NSPs, including the shortcomings of some of the inhibitor-orientated clinical trials. Our growing understanding of other proteases involved in neutrophil function and neutrophilic lung inflammation will then be discussed. Additionally, the potential of targeting these more obscure neutrophil proteases will be highlighted, as they may represent new targets for inhibitor-based treatments of neutrophil-mediated lung inflammation. [ABSTRACT FROM AUTHOR]
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- 2024
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49. Airway clearance techniques and use of mucoactive agents for adult critically ill patients with acute respiratory failure: a qualitative study exploring UK physiotherapy practice
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Connolly, Bronwen, Barclay, Matthew, Blackwood, Bronagh, Bradley, Judy, Anand, Rohan, Borthwick, Mark, Chikhani, Marc, Dark, Paul, Shyamsundar, Murali, Warburton, John, McAuley, Daniel F., and O’Neill, Brenda
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- 2020
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50. Relationship between norepinephrine dose, tachycardia and outcome in septic shock: A multicentre evaluation
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Domizi, Roberta, Calcinaro, Sara, Harris, Steve, Beilstein, Christian, Boerma, Christiaan, Chiche, Jean-Daniel, D'Egidio, Annalia, Damiani, Elisa, Donati, Abele, Koetsier, Peter M., Madden, Mary P., McAuley, Daniel F., Morelli, Andrea, Pelaia, Paolo, Royer, Patrick, Shankar-Hari, Manu, Wickboldt, Nadine, Zolfaghari, Parjam, and Singer, Mervyn
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- 2020
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