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2. Putting ICU triage guidelines into practice: A simulation study using observations and interviews.

Author

Abma, I.L., Olthuis, G.J., Maassen, I.T.H.M., Knippenberg, M.L., Moviat, M., Hasker, A.J., Buenen, A.G., Fikkers, B.G., Oerlemans, A.J.M., Abma, I.L., Olthuis, G.J., Maassen, I.T.H.M., Knippenberg, M.L., Moviat, M., Hasker, A.J., Buenen, A.G., Fikkers, B.G., and Oerlemans, A.J.M.

Abstract

Contains fulltext : 295908.pdf (Publisher’s version ) (Open Access), BACKGROUND: The COVID-19 pandemic has prompted many countries to formulate guidelines on how to deal with a worst-case scenario in which the number of patients needing intensive care unit (ICU) care exceeds the number of available beds. This study aims to explore the experiences of triage teams when triaging fictitious patients with the Dutch triage guidelines. It provides an overview of the factors that influence decision-making when performing ICU triage with triage guidelines. METHODS: Eight triage teams from four hospitals were given files of fictitious patients needing intensive care and instructed to triage these patients. Sessions were observed and audio-recorded. Four focus group interviews with triage team members were held to reflect on the sessions and the Dutch guidelines. The results were analyzed by inductive content analysis. RESULTS: The Dutch triage guidelines were the main basis for making triage decisions. However, some teams also allowed their own considerations (outside of the guidelines) to play a role when making triage decisions, for example to help avoid using non-medical criteria such as prioritization based on age group. Group processes also played a role in decision-making: triage choices can be influenced by the triagists' opinion on the guidelines and the carefulness with which they are applied. Intensivists, being most experienced in prognostication of critical illness, often had the most decisive role during triage sessions. CONCLUSIONS: Using the Dutch triage guidelines is feasible, but there were some inconsistencies in prioritization between teams that may be undesirable. ICU triage guideline writers should consider which aspects of their criteria might, when applied in practice, lead to inconsistencies or ethically questionable prioritization of patients. Practical training of triage team members in applying the guidelines, including explanation of the rationale underlying the triage criteria, might improve the willingness and abi

Published
2023

3. Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19:The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial

Author

Angus, Derek C, Derde, Lennie, Al-Beidh, Farah, Annane, Djillali, Arabi, Yaseen, Beane, Abigail, van Bentum-Puijk, Wilma, Berry, Lindsay, Bhimani, Zahra, Bonten, Marc, Bradbury, Charlotte, Brunkhorst, Frank, Buxton, Meredith, Buzgau, Adrian, Cheng, Allen C, de Jong, Menno, Detry, Michelle, Estcourt, Lise, Fitzgerald, Mark, Goossens, Herman, Green, Cameron, Haniffa, Rashan, Higgins, Alisa M, Horvat, Christopher, Hullegie, Sebastiaan J, Kruger, Peter, Lamontagne, Francois, Lawler, Patrick R, Linstrum, Kelsey, Litton, Edward, Lorenzi, Elizabeth, Marshall, John, McAuley, Daniel, McGlothin, Anna, McGuinness, Shay, McVerry, Bryan, Montgomery, Stephanie, Mouncey, Paul, Murthy, Srinivas, Nichol, Alistair, Parke, Rachael, Parker, Jane, Rowan, Kathryn, Sanil, Ashish, Santos, Marlene, Saunders, Christina, Seymour, Christopher, Turner, Anne, van de Veerdonk, Frank, Venkatesh, Balasubramanian, Zarychanski, Ryan, Berry, Scott, Lewis, Roger J, McArthur, Colin, Webb, Steven A, Gordon, Anthony C, Writing Committee for the REMAP-CAP Investigators, Angus, Derek, Cheng, Allen, De Jong, Menno, Gordon, Anthony, Lawler, Patrick, Webb, Steve, Campbell, Lewis, Forbes, Andrew, Gattas, David, Heritier, Stephane, Higgins, Lisa, Peake, Sandra, Presneill, Jeffrey, Seppelt, Ian, Trapani, Tony, Young, Paul, Bagshaw, Sean, Daneman, Nick, Ferguson, Niall, Misak, Cheryl, Hullegie, Sebastiaan, Pletz, Mathias, Rohde, Gernot, Rowan, Kathy, Alexander, Brian, Basile, Kim, Girard, Timothy, Huang, David, Vates, Jennifer, Beasley, Richard, Fowler, Robert, McGloughlin, Steve, Morpeth, Susan, Paterson, David, Venkatesh, Bala, Uyeki, Tim, Baillie, Kenneth, Duffy, Eamon, Fowler, Rob, Hills, Thomas, Orr, Katrina, Patanwala, Asad, Tong, Steve, Netea, Mihai, Bihari, Shilesh, Carrier, Marc, Fergusson, Dean, Goligher, Ewan, Haidar, Ghady, Hunt, Beverley, Kumar, Anand, Laffan, Mike, Lawless, Patrick, Lother, Sylvain, McCallum, Peter, Middeldopr, Saskia, McQuilten, Zoe, Neal, Matthew, Pasi, John, Schutgens, Roger, Stanworth, Simon, Turgeon, Alexis, Weissman, Alexandra, Adhikari, Neill, Anstey, Matthew, Brant, Emily, de Man, Angelique, Lamonagne, Francois, Masse, Marie-Helene, Udy, Andrew, Arnold, Donald, Begin, Phillipe, Charlewood, Richard, Chasse, Michael, Coyne, Mark, Cooper, Jamie, Daly, James, Gosbell, Iain, Harvala-Simmonds, Heli, Hills, Tom, MacLennan, Sheila, Menon, David, McDyer, John, Pridee, Nicole, Roberts, David, Shankar-Hari, Manu, Thomas, Helen, Tinmouth, Alan, Triulzi, Darrell, Walsh, Tim, Wood, Erica, Calfee, Carolyn, O’Kane, Cecilia, Shyamsundar, Murali, Sinha, Pratik, Thompson, Taylor, Young, Ian, Bihari, Shailesh, Hodgson, Carol, Laffey, John, McAuley, Danny, Orford, Neil, Neto, Ary, Lewis, Roger, McGlothlin, Anna, Miller, Eliza, Singh, Vanessa, Zammit, Claire, van Bentum Puijk, Wilma, Bouwman, Wietske, Mangindaan, Yara, Parker, Lorraine, Peters, Svenja, Rietveld, Ilse, Raymakers, Kik, Ganpat, Radhika, Brillinger, Nicole, Markgraf, Rene, Ainscough, Kate, Brickell, Kathy, Anjum, Aisha, Lane, Janis-Best, Richards-Belle, Alvin, Saull, Michelle, Wiley, Daisy, Bion, Julian, Connor, Jason, Gates, Simon, Manax, Victoria, van der Poll, Tom, Reynolds, John, van Beurden, Marloes, Effelaar, Evelien, Schotsman, Joost, Boyd, Craig, Harland, Cain, Shearer, Audrey, Wren, Jess, Clermont, Giles, Garrard, William, Kalchthaler, Kyle, King, Andrew, Ricketts, Daniel, Malakoutis, Salim, Marroquin, Oscar, Music, Edvin, Quinn, Kevin, Cate, Heidi, Pearson, Karen, Collins, Joanne, Hanson, Jane, Williams, Penny, Jackson, Shane, Asghar, Adeeba, Dyas, Sarah, Sutu, Mihaela, Murphy, Sheenagh, Williamson, Dawn, Mguni, Nhlanhla, Potter, Alison, Porter, David, Goodwin, Jayne, Rook, Clare, Harrison, Susie, Williams, Hannah, Campbell, Hilary, Lomme, Kaatje, Williamson, James, Sheffield, Jonathan, van’t Hoff, Willian, McCracken, Phobe, Young, Meredith, Board, Jasmin, Mart, Emma, Knott, Cameron, Smith, Julie, Boschert, Catherine, Affleck, Julia, Ramanan, Mahesh, D’Souza, Ramsy, Pateman, Kelsey, Shakih, Arif, Cheung, Winston, Kol, Mark, Wong, Helen, Shah, Asim, Wagh, Atul, Simpson, Joanne, Duke, Graeme, Chan, Peter, Cartner, Brittney, Hunter, Stephanie, Laver, Russell, Shrestha, Tapaswi, Regli, Adrian, Pellicano, Annamaria, McCullough, James, Tallott, Mandy, Kumar, Nikhil, Panwar, Rakshit, Brinkerhoff, Gail, Koppen, Cassandra, Cazzola, Federica, Brain, Matthew, Mineall, Sarah, Fischer, Roy, Biradar, Vishwanath, Soar, Natalie, White, Hayden, Estensen, Kristen, Morrison, Lynette, Smith, Joanne, Cooper, Melanie, Health, Monash, Shehabi, Yahya, Al-Bassam, Wisam, Hulley, Amanda, Whitehead, Christina, Lowrey, Julie, Gresha, Rebecca, Walsham, James, Meyer, Jason, Harward, Meg, Venz, Ellen, Williams, Patricia, Kurenda, Catherine, Smith, Kirsy, Smith, Margaret, Garcia, Rebecca, Barge, Deborah, Byrne, Deborah, Byrne, Kathleen, Driscoll, Alana, Fortune, Louise, Janin, Pierre, Yarad, Elizabeth, Hammond, Naomi, Bass, Frances, Ashelford, Angela, Waterson, Sharon, Wedd, Steve, McNamara, Robert, Buhr, Heidi, Coles, Jennifer, Schweikert, Sacha, Wibrow, Bradley, Rauniyar, Rashmi, Myers, Erina, Fysh, Ed, Dawda, Ashlish, Mevavala, Bhaumik, Litton, Ed, Ferrier, Janet, Nair, Priya, Buscher, Hergen, Reynolds, Claire, Santamaria, John, Barbazza, Leanne, Homes, Jennifer, Smith, Roger, Murray, Lauren, Brailsford, Jane, Forbes, Loretta, Maguire, Teena, Mariappa, Vasanth, Smith, Judith, Simpson, Scott, Maiden, Matthew, Bone, Allsion, Horton, Michelle, Salerno, Tania, Sterba, Martin, Geng, Wenli, Depuydt, Pieter, De Waele, Jan, De Bus, Liesbet, Fierens, Jan, Bracke, Stephanie, Reeve, Brenda, Dechert, William, Chassé, Michaël, Carrier, François Martin, Boumahni, Dounia, Benettaib, Fatna, Ghamraoui, Ali, Bellemare, David, Cloutier, Ève, Francoeur, Charles, Lamontagne, François, D’Aragon, Frédérick, Carbonneau, Elaine, Leblond, Julie, Vazquez-Grande, Gloria, Marten, Nicole, Wilson, Maggie, Albert, Martin, Serri, Karim, Cavayas, Alexandros, Duplaix, Mathilde, Williams, Virginie, Rochwerg, Bram, Karachi, Tim, Oczkowski, Simon, Centofanti, John, Millen, Tina, Duan, Erick, Tsang, Jennifer, Patterson, Lisa, English, Shane, Watpool, Irene, Porteous, Rebecca, Miezitis, Sydney, McIntyre, Lauralyn, Brochard, Laurent, Burns, Karen, Sandhu, Gyan, Khalid, Imrana, Binnie, Alexandra, Powell, Elizabeth, McMillan, Alexandra, Luk, Tracy, Aref, Noah, Andric, Zdravko, Cviljevic, Sabina, Đimoti, Renata, Zapalac, Marija, Mirković, Gordan, Baršić, Bruno, Kutleša, Marko, Kotarski, Viktor, Vujaklija Brajković, Ana, Babel, Jakša, Sever, Helena, Dragija, Lidija, Kušan, Ira, Vaara, Suvi, Pettilä, Leena, Heinonen, Jonna, Kuitunen, Anne, Karlsson, Sari, Vahtera, Annukka, Kiiski, Heikki, Ristimäki, Sanna, Azaiz, Amine, Charron, Cyril, Godement, Mathieu, Geri, Guillaume, Vieillard-Baron, Antoine, Pourcine, Franck, Monchi, Mehran, Luis, David, Mercier, Romain, Sagnier, Anne, Verrier, Nathalie, Caplin, Cecile, Siami, Shidasp, Aparicio, Christelle, Vautier, Sarah, Jeblaoui, Asma, Fartoukh, Muriel, Courtin, Laura, Labbe, Vincent, Leparco, Cécile, Muller, Grégoire, Nay, Mai-Anh, Kamel, Toufik, Benzekri, Dalila, Jacquier, Sophie, Mercier, Emmanuelle, Chartier, Delphine, Salmon, Charlotte, Dequin, PierreFrançois, Schneider, Francis, Morel, Guillaume, L’Hotellier, Sylvie, Badie, Julio, Berdaguer, Fernando Daniel, Malfroy, Sylvain, Mezher, Chaouki, Bourgoin, Charlotte, Megarbane, Bruno, Voicu, Sebastian, Deye, Nicolas, Malissin, Isabelle, Sutterlin, Laetitia, Guitton, Christophe, Darreau, Cédric, Landais, Mickaël, Chudeau, Nicolas, Robert, Alain, Moine, Pierre, Heming, Nicholas, Maxime, Virginie, Bossard, Isabelle, Nicholier, Tiphaine Barbarin, Colin, Gwenhael, Zinzoni, Vanessa, Maquigneau, Natacham, Finn, André, Kreß, Gabriele, Hoff, Uwe, Friedrich Hinrichs, Carl, Nee, Jens, Hagel, Stefan, Ankert, Juliane, Kolanos, Steffi, Bloos, Frank, Petros, Sirak, Pasieka, Bastian, Kunz, Kevin, Appelt, Peter, Schütze, Bianka, Kluge, Stefan, Nierhaus, Axel, Jarczak, Dominik, Roedl, Kevin, Weismann, Dirk, Frey, Anna, Klinikum Neukölln, Vivantes, Reill, Lorenz, Distler, Michael, Maselli, Astrid, Bélteczki, János, Magyar, István, Fazekas, Ágnes, Kovács, Sándor, Szőke, Viktória, Szigligeti, Gábor, Leszkoven, János, Collins, Daniel, Breen, Patrick, Frohlich, Stephen, Whelan, Ruth, McNicholas, Bairbre, Scully, Michael, Casey, Siobhan, Kernan, Maeve, Doran, Peter, O’Dywer, Michael, Smyth, Michelle, Hayes, Leanne, Hoiting, Oscar, Peters, Marco, Rengers, Els, Evers, Mirjam, Prinssen, Anton, Bosch Ziekenhuis, Jeroen, Simons, Koen, Rozendaal, Wim, Polderman, F, de Jager, P, Moviat, M, Paling, A, Salet, A, Rademaker, Emma, Peters, Anna Linda, de Jonge, E, Wigbers, J, Guilder, E, Butler, M, Cowdrey, Keri-Anne, Newby, Lynette, Chen, Yan, Simmonds, Catherine, McConnochie, Rachael, Ritzema Carter, Jay, Henderson, Seton, Van Der Heyden, Kym, Mehrtens, Jan, Williams, Tony, Kazemi, Alex, Song, Rima, Lai, Vivian, Girijadevi, Dinu, Everitt, Robert, Russell, Robert, Hacking, Danielle, Buehner, Ulrike, Williams, Erin, Browne, Troy, Grimwade, Kate, Goodson, Jennifer, Keet, Owen, Callender, Owen, Martynoga, Robert, Trask, Kara, Butler, Amelia, Schischka, Livia, Young, Chelsea, Lesona, Eden, Olatunji, Shaanti, Robertson, Yvonne, José, Nuno, Amaro dos Santos Catorze, Teodoro, de Lima Pereira, Tiago Nuno Alfaro, Neves Pessoa, Lucilia Maria, Castro Ferreira, Ricardo Manuel, Pereira Sousa Bastos, Joana Margarida, Aysel Florescu, Simin, Stanciu, Delia, Zaharia, Miahela Florentina, Kosa, Alma Gabriela, Codreanu, Daniel, Marabi, Yaseen, Al Qasim, Eman, Moneer Hagazy, Mohamned, Al Swaidan, Lolowa, Arishi, Hatim, Muñoz-Bermúdez, Rosana, Marin-Corral, Judith, Salazar Degracia, Anna, Parrilla Gómez, Francisco, Mateo López, Maria Isabel, Rodriguez Fernandez, Jorge, Cárcel Fernández, Sheila, Carmona Flores, Rosario, León López, Rafael, de la Fuente Martos, Carmen, Allan, Angela, Polgarova, Petra, Farahi, Neda, McWilliam, Stephen, Hawcutt, Daniel, Rad, Laura, O’Malley, Laura, Whitbread, Jennifer, Kelsall, Olivia, Wild, Laura, Thrush, Jessica, Wood, Hannah, Austin, Karen, Donnelly, Adrian, Kelly, Martin, O’Kane, Sinéad, McClintock, Declan, Warnock, Majella, Johnston, Paul, Gallagher, Linda Jude, Mc Goldrick, Clare, Mc Master, Moyra, Strzelecka, Anna, Jha, Rajeev, Kalogirou, Michael, Ellis, Christine, Krishnamurthy, Vinodh, Deelchand, Vashish, Silversides, Jon, McGuigan, Peter, Ward, Kathryn, O’Neill, Aisling, Finn, Stephanie, Phillips, Barbara, Mullan, Dee, Oritz-Ruiz de Gordoa, Laura, Thomas, Matthew, Sweet, Katie, Grimmer, Lisa, Johnson, Rebekah, Pinnell, Jez, Robinson, Matt, Gledhill, Lisa, Wood, Tracy, Morgan, Matt, Cole, Jade, Hill, Helen, Davies, Michelle, Antcliffe, David, Templeton, Maie, Rojo, Roceld, Coghlan, Phoebe, Smee, Joanna, Mackay, Euan, Cort, Jon, Whileman, Amanda, Spencer, Thomas, Spittle, Nick, Kasipandian, Vidya, Patel, Amit, Allibone, Suzanne, Genetu, Roman Mary, Ramali, Mohamed, Ghosh, Alison, Bamford, Peter, London, Emily, Cawley, Kathryn, Faulkner, Maria, Jeffrey, Helen, Smith, Tim, Brewer, Chris, Gregory, Jane, Limb, James, Cowton, Amanda, O’Brien, Julie, Nikitas, Nikitas, Wells, Colin, Lankester, Liana, Pulletz, Mark, Birch, Jenny, Wiseman, Sophie, Horton, Sarah, Alegria, Ana, Turki, Salah, Elsefi, Tarek, Crisp, Nikki, Allen, Louise, McCullagh, Iain, Robinson, Philip, Hays, Carole, Babio-Galan, Maite, Stevenson, Hannah, Khare, Divya, Pinder, Meredith, Selvamoni, Selvin, Gopinath, Amitha, Pugh, Richard, Menzies, Daniel, Mackay, Callum, Allan, Elizabeth, Davies, Gwyneth, Puxty, Kathryn, McCue, Claire, Cathcart, Susanne, Hickey, Naomi, Ireland, Jane, Yusuff, Hakeem, Isgro, Graziella, Brightling, Chris, Bourne, Michelle, Craner, Michelle, Watters, Malcolm, Prout, Rachel, Davies, Louisa, Pegler, Suzannah, Kyeremeh, Lynsey, Arbane, Gill, Wilson, Karen, Gomm, Linda, Francia, Federica, Brett, Stephen, Sousa Arias, Sonia, Elin Hall, Rebecca, Budd, Joanna, Small, Charlotte, Birch, Janine, Collins, Emma, Henning, Jeremy, Bonner, Stephen, Hugill, Keith, Cirstea, Emanuel, Wilkinson, Dean, Karlikowski, Michal, Sutherland, Helen, Wilhelmsen, Elva, Woods, Jane, North, Julie, Sundaran, Dhinesh, Hollos, Laszlo, Coburn, Susan, Walsh, Joanne, Turns, Margaret, Hopkins, Phil, Smith, John, Noble, Harriet, Depante, Maria Theresa, Clarey, Emma, Laha, Shondipon, Verlander, Mark, Williams, Alexandra, Huckle, Abby, Hall, Andrew, Cooke, Jill, Gardiner-Hill, Caroline, Maloney, Carolyn, Qureshi, Hafiz, Flint, Neil, Nicholson, Sarah, Southin, Sara, Nicholson, Andrew, Borgatta, Barbara, Turner-Bone, Ian, Reddy, Amie, Wilding, Laura, Chamara Warnapura, Loku, Agno Sathianathan, Ronan, Golden, David, Hart, Ciaran, Jones, Jo, Bannard-Smith, Jonathan, Henry, Joanne, Birchall, Katie, Pomeroy, Fiona, Quayle, Rachael, Makowski, Arystarch, Misztal, Beata, Ahmed, Iram, KyereDiabour, Thyra, Naiker, Kevin, Stewart, Richard, Mwaura, Esther, Mew, Louise, Wren, Lynn, Willams, Felicity, Innes, Richard, Doble, Patricia, Hutter, Joanne, Shovelton, Charmaine, Plumb, Benjamin, Szakmany, Tamas, Hamlyn, Vincent, Hawkins, Nancy, Lewis, Sarah, Dell, Amanda, Gopal, Shameer, Ganguly, Saibal, Smallwood, Andrew, Harris, Nichola, Metherell, Stella, Lazaro, Juan Martin, Newman, Tabitha, Fletcher, Simon, Nortje, Jurgens, Fottrell-Gould, Deirdre, Randell, Georgina, Zaman, Mohsin, Elmahi, Einas, Jones, Andrea, Hall, Kathryn, Mills, Gary, Ryalls, Kim, Bowler, Helen, Sall, Jas, Bourne, Richard, Borrill, Zoe, Duncan, Tracey, Lamb, Thomas, Shaw, Joanne, Fox, Claire, Moreno Cuesta, Jeronimo, Xavier, Kugan, Purohit, Dharam, Elhassan, Munzir, Bakthavatsalam, Dhanalakshmi, Rowland, Matthew, Hutton, Paula, Bashyal, Archana, Davidson, Neil, Hird, Clare, Chhablani, Manish, Phalod, Gunjan, Kirkby, Amy, Archer, Simon, Netherton, Kimberley, Reschreiter, Henrik, Camsooksai, Julie, Patch, Sarah, Jenkins, Sarah, Pogson, David, Rose, Steve, Daly, Zoe, Brimfield, Lutece, Claridge, Helen, Parekh, Dhruv, Bergin, Colin, Bates, Michelle, Dasgin, Joanne, McGhee, Christopher, Sim, Malcolm, Hay, Sophie Kennedy, Henderson, Steven, Phull, Mandeep-Kaur, Zaidi, Abbas, Pogreban, Tatiana, Rosaroso, Lace Paulyn, Harvey, Daniel, Lowe, Benjamin, Meredith, Megan, Ryan, Lucy, Hormis, Anil, Walker, Rachel, Collier, Dawn, Kimpton, Sarah, Oakley, Susan, Rooney, Kevin, Rodden, Natalie, Hughes, Emma, Thomson, Nicola, McGlynn, Deborah, Walden, Andrew, Jacques, Nicola, Coles, Holly, Tilney, Emma, Vowell, Emma, Schuster-Bruce, Martin, Pitts, Sally, Miln, Rebecca, Purandare, Laura, Vamplew, Luke, Spivey, Michael, Bean, Sarah, Burt, Karen, Moore, Lorraine, Day, Christopher, Gibson, Charly, Gordon, Elizabeth, Zitter, Letizia, Keenan, Samantha, Baker, Evelyn, Cherian, Shiney, Cutler, Sean, Roynon-Reed, Anna, Harrington, Kate, Raithatha, Ajay, Bauchmuller, Kris, Ahmad, Norfaizan, Grecu, Irina, Trodd, Dawn, Martin, Jane, Wrey Brown, Caroline, Arias, Ana-Marie, Craven, Thomas, Hope, David, Singleton, Jo, Clark, Sarah, Rae, Nicola, Welters, Ingeborg, Hamilton, David Oliver, Williams, Karen, Waugh, Victoria, Shaw, David, Puthucheary, Zudin, Martin, Timothy, Santos, Filipa, Uddin, Ruzena, Somerville, Alastair, Tatham, Kate Colette, Jhanji, Shaman, Black, Ethel, Dela Rosa, Arnold, Howle, Ryan, Tully, Redmond, Drummond, Andrew, Dearden, Joy, Philbin, Jennifer, Munt, Sheila, Vuylsteke, Alain, Chan, Charles, Victor, Saji, Matsa, Ramprasad, Gellamucho, Minerva, Creagh-Brown, Ben, Tooley, Joe, Montague, Laura, De Beaux, Fiona, Bullman, Laetitia, Kersiake, Ian, Demetriou, Carrie, Mitchard, Sarah, Ramos, Lidia, White, Katie, Donnison, Phil, Johns, Maggie, Casey, Ruth, Mattocks, Lehentha, Salisbury, Sarah, Dark, Paul, Claxton, Andrew, McLachlan, Danielle, Slevin, Kathryn, Lee, Stephanie, Hulme, Jonathan, Joseph, Sibet, Kinney, Fiona, Senya, Ho Jan, Oborska, Aneta, Kayani, Abdul, Hadebe, Bernard, Orath Prabakaran, Rajalakshmi, Nichols, Lesley, Thomas, Matt, Worner, Ruth, Faulkner, Beverley, Gendall, Emma, Hayes, Kati, Hamilton-Davies, Colin, Chan, Carmen, Mfuko, Celina, Abbass, Hakam, Mandadapu, Vineela, Leaver, Susannah, Forton, Daniel, Patel, Kamal, Paramasivam, Elankumaran, Powell, Matthew, Gould, Richard, Wilby, Elizabeth, Howcroft, Clare, Banach, Dorota, Fernández de Pinedo Artaraz, Ziortza, Cabreros, Leilani, White, Ian, Croft, Maria, Holland, Nicky, Pereira, Rita, Zaki, Ahmed, Johnson, David, Jackson, Matthew, Garrard, Hywel, Juhaz, Vera, Roy, Alistair, Rostron, Anthony, Woods, Lindsey, Cornell, Sarah, Pillai, Suresh, Harford, Rachel, Rees, Tabitha, Ivatt, Helen, Sundara Raman, Ajay, Davey, Miriam, Lee, Kelvin, Barber, Russell, Chablani, Manish, Brohi, Farooq, Jagannathan, Vijay, Clark, Michele, Purvis, Sarah, Wetherill, Bill, Dushianthan, Ahilanandan, Cusack, Rebecca, de Courcy-Golder, Kim, Smith, Simon, Jackson, Susan, Attwood, Ben, Parsons, Penny, Page, Valerie, Zhao, Xiao Bei, Oza, Deepali, Rhodes, Jonathan, Anderson, Tom, Morris, Sheila, Xia Le Tai, Charlotte, Thomas, Amy, Keen, Alexandra, Digby, Stephen, Cowley, Nicholas, Southern, David, Reddy, Harsha, Campbell, Andy, Watkins, Claire, Smuts, Sara, Touma, Omar, Barnes, Nicky, Alexander, Peter, Felton, Tim, Ferguson, Susan, Sellers, Katharine, Bradley-Potts, Joanne, Yates, David, Birkinshaw, Isobel, Kell, Kay, Marshall, Nicola, Carr-Knott, Lisa, Writing Committee for the REMAP-CAP Investigators, Menon, David [0000-0002-3228-9692], Apollo - University of Cambridge Repository, Medical Microbiology and Infection Prevention, and AII - Infectious diseases

Subjects
Male, Hydrocortisone, Anti-Inflammatory Agents, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], 01 natural sciences, law.invention, 0302 clinical medicine, Randomized controlled trial, law, Adrenal Cortex Hormones, Clinical endpoint, Medicine, 030212 general & internal medicine, Hydrocortisone/administration & dosage, Original Investigation, 2. Zero hunger, Mortality rate, Shock, Covid19, General Medicine, Middle Aged, Intensive care unit, 3. Good health, Intensive Care Units, Treatment Outcome, Early Termination of Clinical Trials, Corticosteroid, Female, Coronavirus Infections, medicine.drug, Adult, medicine.medical_specialty, Respiration, Artificial/statistics & numerical data, medicine.drug_class, Anti-Inflammatory Agents/administration & dosage, Pneumonia, Viral, UNCOVER, Adrenal Cortex Hormones/therapeutic use, 03 medical and health sciences, Betacoronavirus, All institutes and research themes of the Radboud University Medical Center, Internal medicine, Humans, 0101 mathematics, Adverse effect, Pandemics, business.industry, SARS-CoV-2, 010102 general mathematics, COVID-19, Odds ratio, Coronavirus Infections/drug therapy, Pneumonia, Viral/drug therapy, Respiration, Artificial, COVID-19 Drug Treatment, Shock/drug therapy, Human medicine, business
Abstract

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited.Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19.Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020.Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108).Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%).Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively.Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions.Trial Registration: ClinicalTrials.gov Identifier: NCT02735707.

Published
2020

5. Bilothorax: A Bitter Complication of Liver Surgery

Author

Hamers, L. A. C., Bosscha, K., van Leuken, M. H., Moviat, M. A. M., and de Jager, C. P. C.

Subjects
Article Subject
Abstract

Bilothorax is a rare condition, mostly associated with surgery involving the biliary system or trauma. In this article a case of bilothorax secondary to liver surgery is reported, which recovered by pleural and abdominal drainage. Bilothorax should be considered as a cause of respiratory detoriation in patients with recent biliary or hepatic surgery.

Published
2013
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6. Stewart approach of acid-base disorders in Intensive Care patients

Author

Moviat, M., Pickkers, P., Hoeven, J.G. van der, Voort, P.J.H. van der, and Radboud University Nijmegen

Subjects
Iron metabolism Pathogenesis and modulation of inflammation [IGMD 7], GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Abstract

Contains fulltext : 101054.pdf (Publisher’s version ) (Open Access) Radboud Universiteit Nijmegen, 18 januari 2013 Promotores : Pickkers, P., Hoeven, J.G. van der Co-promotor : Voort, P.J.H. van der

Published
2013

7. H1N1 vaccination: expect the unexpected

Author

Popa, C., Wever, P.C., and Moviat, M.

Subjects
Pathogenesis and modulation of inflammation [N4i 1], Invasive mycoses and compromised host [N4i 2]
Abstract

Item does not contain fulltext

Published
2011

8. Stewart approach of acid-base disorders in Intensive Care patients

Author

Pickkers, P., Hoeven, J.G. van der, Voort, P.J.H. van der, Moviat, M., Pickkers, P., Hoeven, J.G. van der, Voort, P.J.H. van der, and Moviat, M.

Abstract

Radboud Universiteit Nijmegen, 18 januari 2013, Promotores : Pickkers, P., Hoeven, J.G. van der Co-promotor : Voort, P.J.H. van der, Contains fulltext : 101054.pdf (publisher's version ) (Open Access)

Published
2013

9. Stewart analysis of apparently normal acid-base state in the critically ill

Author

Moviat, M., Boogaard, M. van den, Intven, F., Voort, P. van der, Hoeven, H. van der, Pickkers, P., Moviat, M., Boogaard, M. van den, Intven, F., Voort, P. van der, Hoeven, H. van der, and Pickkers, P.

Abstract

Item does not contain fulltext, PURPOSE: This study aimed to describe Stewart parameters in critically ill patients with an apparently normal acid-base state and to determine the incidence of mixed metabolic acid-base disorders in these patients. MATERIALS AND METHODS: We conducted a prospective, observational multicenter study of 312 consecutive Dutch intensive care unit patients with normal pH (7.35

Published
2013

10. Impaired renal function is associated with greater urinary strong ion differences in critically ill patients with metabolic acidosis.

Author

Moviat, M., Terpstra, A.M., Hoeven, J.G. van der, Pickkers, P., Moviat, M., Terpstra, A.M., Hoeven, J.G. van der, and Pickkers, P.

Abstract

1 juni 2012, Item does not contain fulltext, PURPOSE: Urinary excretion of chloride corrects metabolic acidosis, but this may be hampered in patients with impaired renal function. We explored the effects of renal function on acid-base characteristics and urinary strong ion excretion using the Stewart approach in critically ill patients with metabolic acidosis. MATERIALS AND METHODS: We examined the plasma and urine chemistry in 65 critically ill (mixed medical and surgical) patients with metabolic acidosis. The apparent strong ion difference, effective strong ion difference, strong ion gap, and urinary simplified strong ion difference (urinary SID) were calculated. Linear regression analyses were used (1) to assess whether plasma creatinine concentrations were related to urinary SIDs values, adjusted for blood pH levels, and (2) to determine whether urinary SID values were associated with blood pH levels. RESULTS: Creatinine concentrations were positively and significantly (P < .001) associated with urinary SIDs values, adjusted for pH levels. Urinary simplified strong ion difference values were inversely and significantly (P < .001) related to pH levels. CONCLUSIONS: In critically ill patients with metabolic acidosis, impaired renal function was associated with greater urinary SIDs. Subsequently, the higher urinary SIDs values were related to lower pH levels, illustrating the importance of renal chloride excretion to correct for acidosis.

Published
2012

11. Contribution of various metabolites to the 'unmeasured' anions in critically ill patients with metabolic acidosis.

Author

Moviat, M., Terpstra, A.M., Ruitenbeek, W., Kluijtmans, L.A.J., Pickkers, P., Hoeven, J.G. van der, Moviat, M., Terpstra, A.M., Ruitenbeek, W., Kluijtmans, L.A.J., Pickkers, P., and Hoeven, J.G. van der

Abstract

Contains fulltext : 71010.pdf (publisher's version ) (Closed access), OBJECTIVE: The physicochemical approach, described by Stewart to investigate the acid-base balance, includes the strong ion gap (SIG), a quantitative measure of "unmeasured" anions, which strongly correlates to the corrected anion gap. The chemical nature of these anions is for the most part unknown. We hypothesized that amino acids, uric acid, and organic acids could contribute to the SIG. DESIGN: Prospective observational study. SETTING: Intensive care department of an academic hospital. PATIENTS: Consecutive intensive care unit patients (n = 31) with metabolic acidosis, defined as a pH of < 7.35 and a base excess of < or = -5 mmol/L. INTERVENTIONS: A single arterial blood sample was collected. MEASUREMENTS: The SIG was calculated and two groups were compared: patients with SIG of < or = 2 mEq/L and patients with SIG of > or = 5 mEq/L. "Unmeasured" anions were examined by ion-exchange column chromatography, reverse-phase high-performance liquid chromatography, and gas chromatography/mass spectrometry measuring amino acids, uric acid, and organic acids, respectively. MAIN RESULTS: Comparison of patient characteristics of both SIG groups showed that age, sex, Acute Physiology and Chronic Health Evaluation II, pH, base excess, and lactate were not significantly different. Renal insufficiency and sepsis were more prevalent in the SIG > or = 5 mEq/L group (n = 12; median SIG, 8.3 mEq/L), associated with higher mortality. Concentrations of the anionic compounds aspartic acid, uric acid, succinic acid, pyroglutamic acid, p-hydroxyphenyllactic acid, and the semiquantified organic acid homovanillic acid were all statistically significantly elevated in the SIG > or = 5 mEq/L group compared with the SIG < or = 2 mEq/L group (n = 8; median SIG, 0.6 mEq/L). Overall, the averaged difference between both SIG groups in total anionic amino acids, uric acid, and organic acids concentrations contributed to the SIG for, respectively, 0.07% (5 microEq/L, p = not significant), 2.2% (16

Published
2008

13. Acetazolamide-mediated decrease in strong ion difference accounts for the correction of metabolic alkalosis in critically ill patients.

Author

Moviat, M., Pickkers, P., Voort, P.H. van der, Hoeven, J.G. van der, Moviat, M., Pickkers, P., Voort, P.H. van der, and Hoeven, J.G. van der

Abstract

Contains fulltext : 50014.pdf ( ) (Open Access), INTRODUCTION: Metabolic alkalosis is a commonly encountered acid-base derangement in the intensive care unit. Treatment with the carbonic anhydrase inhibitor acetazolamide is indicated in selected cases. According to the quantitative approach described by Stewart, correction of serum pH due to carbonic anhydrase inhibition in the proximal tubule cannot be explained by excretion of bicarbonate. Using the Stewart approach, we studied the mechanism of action of acetazolamide in critically ill patients with a metabolic alkalosis. METHODS: Fifteen consecutive intensive care unit patients with metabolic alkalosis (pH > or = 7.48 and HCO3- > or = 28 mmol/l) were treated with a single administration of 500 mg acetazolamide intravenously. Serum levels of strong ions, creatinine, lactate, weak acids, pH and partial carbon dioxide tension were measured at 0, 12, 24, 48 and 72 hours. The main strong ions in urine and pH were measured at 0, 3, 6, 12, 24, 48 and 72 hours. Strong ion difference (SID), strong ion gap, sodium-chloride effect, and the urinary SID were calculated. Data (mean +/- standard error were analyzed by comparing baseline variables and time dependent changes by one way analysis of variance for repeated measures. RESULTS: After a single administration of acetazolamide, correction of serum pH (from 7.49 +/- 0.01 to 7.46 +/- 0.01; P = 0.001) was maximal at 24 hours and sustained during the period of observation. The parallel decrease in partial carbon dioxide tension was not significant (from 5.7 +/- 0.2 to 5.3 +/- 0.2 kPa; P = 0.08) and there was no significant change in total concentration of weak acids. Serum SID decreased significantly (from 41.5 +/- 1.3 to 38.0 +/- 1.0 mEq/l; P = 0.03) due to an increase in serum chloride (from 105 +/- 1.2 to 110 +/- 1.2 mmol/l; P < 0.0001). The decrease in serum SID was explained by a significant increase in the urinary excretion of sodium without chloride during the first 24 hours (increase in urinary SID: from 48.4 +/- 15.

Published
2006

16. Contribution of various metabolites to the 'unmeasured' anions in critically ill patients with metabolic acidosis.

Author

Moviat M, Terpstra AM, Ruitenbeek W, Kluijtmans LA, Pickkers P, and van der Hoeven JG

Abstract

OBJECTIVE:: The physicochemical approach, described by Stewart to investigate the acid-base balance, includes the strong ion gap (SIG), a quantitative measure of 'unmeasured' anions, which strongly correlates to the corrected anion gap. The chemical nature of these anions is for the most part unknown. We hypothesized that amino acids, uric acid, and organic acids could contribute to the SIG. DESIGN:: Prospective observational study. SETTING:: Intensive care department of an academic hospital. PATIENTS:: Consecutive intensive care unit patients (n = 31) with metabolic acidosis, defined as a pH of <7.35 and a base excess of /=5 mEq/L. 'Unmeasured' anions were examined by ion-exchange column chromatography, reverse-phase high-performance liquid chromatography, and gas chromatography/mass spectrometry measuring amino acids, uric acid, and organic acids, respectively. MAIN RESULTS:: Comparison of patient characteristics of both SIG groups showed that age, sex, Acute Physiology and Chronic Health Evaluation II, pH, base excess, and lactate were not significantly different. Renal insufficiency and sepsis were more prevalent in the SIG >/=5 mEq/L group (n = 12; median SIG, 8.3 mEq/L), associated with higher mortality. Concentrations of the anionic compounds aspartic acid, uric acid, succinic acid, pyroglutamic acid, p-hydroxyphenyllactic acid, and the semiquantified organic acid homovanillic acid were all statistically significantly elevated in the SIG >/=5 mEq/L group compared with the SIG

Published
2008
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17. Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial

Author

Angus, Derek C, Derde, Lennie, Al-Beidh, Farah, Annane, Djillali, Arabi, Yaseen, Beane, Abigail, Van Bentum-Puijk, Wilma, Berry, Lindsay, Bhimani, Zahra, Bonten, Marc, Bradbury, Charlotte, Brunkhorst, Frank, Buxton, Meredith, Buzgau, Adrian, Cheng, Allen C, De Jong, Menno, Detry, Michelle, Estcourt, Lise, Fitzgerald, Mark, Goossens, Herman, Green, Cameron, Haniffa, Rashan, Higgins, Alisa M, Horvat, Christopher, Hullegie, Sebastiaan J, Kruger, Peter, Lamontagne, Francois, Lawler, Patrick R, Linstrum, Kelsey, Litton, Edward, Lorenzi, Elizabeth, Marshall, John, McAuley, Daniel, McGlothin, Anna, McGuinness, Shay, McVerry, Bryan, Montgomery, Stephanie, Mouncey, Paul, Murthy, Srinivas, Nichol, Alistair, Parke, Rachael, Parker, Jane, Rowan, Kathryn, Sanil, Ashish, Santos, Marlene, Saunders, Christina, Seymour, Christopher, Turner, Anne, Van De Veerdonk, Frank, Venkatesh, Balasubramanian, Zarychanski, Ryan, Berry, Scott, Lewis, Roger J, McArthur, Colin, Webb, Steven A, Gordon, Anthony C, Writing Committee For The REMAP-CAP Investigators, Angus, Derek, Cheng, Allen, Gordon, Anthony, Lawler, Patrick, Webb, Steve, Campbell, Lewis, Forbes, Andrew, Gattas, David, Heritier, Stephane, Higgins, Lisa, Peake, Sandra, Presneill, Jeffrey, Seppelt, Ian, Trapani, Tony, Young, Paul, Bagshaw, Sean, Daneman, Nick, Ferguson, Niall, Misak, Cheryl, Hullegie, Sebastiaan, Pletz, Mathias, Rohde, Gernot, Rowan, Kathy, Alexander, Brian, Basile, Kim, Girard, Timothy, Huang, David, Vates, Jennifer, Beasley, Richard, Fowler, Robert, McGloughlin, Steve, Morpeth, Susan, Paterson, David, Venkatesh, Bala, Uyeki, Tim, Baillie, Kenneth, Duffy, Eamon, Fowler, Rob, Hills, Thomas, Orr, Katrina, Patanwala, Asad, Tong, Steve, Netea, Mihai, Bihari, Shilesh, Carrier, Marc, Fergusson, Dean, Goligher, Ewan, Haidar, Ghady, Hunt, Beverley, Kumar, Anand, Laffan, Mike, Lawless, Patrick, Lother, Sylvain, McCallum, Peter, Middeldopr, Saskia, McQuilten, Zoe, Neal, Matthew, Pasi, John, Schutgens, Roger, Stanworth, Simon, Turgeon, Alexis, Weissman, Alexandra, Adhikari, Neill, Anstey, Matthew, Brant, Emily, De Man, Angelique, Lamonagne, Francois, Masse, Marie-Helene, Udy, Andrew, Arnold, Donald, Begin, Phillipe, Charlewood, Richard, Chasse, Michael, Coyne, Mark, Cooper, Jamie, Daly, James, Gosbell, Iain, Harvala-Simmonds, Heli, Hills, Tom, MacLennan, Sheila, Menon, David, McDyer, John, Pridee, Nicole, Roberts, David, Shankar-Hari, Manu, Thomas, Helen, Tinmouth, Alan, Triulzi, Darrell, Walsh, Tim, Wood, Erica, Calfee, Carolyn, O’Kane, Cecilia, Shyamsundar, Murali, Sinha, Pratik, Thompson, Taylor, Young, Ian, Bihari, Shailesh, Hodgson, Carol, Laffey, John, McAuley, Danny, Orford, Neil, Neto, Ary, Lewis, Roger, McGlothlin, Anna, Miller, Eliza, Singh, Vanessa, Zammit, Claire, Van Bentum Puijk, Wilma, Bouwman, Wietske, Mangindaan, Yara, Parker, Lorraine, Peters, Svenja, Rietveld, Ilse, Raymakers, Kik, Ganpat, Radhika, Brillinger, Nicole, Markgraf, Rene, Ainscough, Kate, Brickell, Kathy, Anjum, Aisha, Lane, Janis-Best, Richards-Belle, Alvin, Saull, Michelle, Wiley, Daisy, Bion, Julian, Connor, Jason, Gates, Simon, Manax, Victoria, Van Der Poll, Tom, Reynolds, John, Van Beurden, Marloes, Effelaar, Evelien, Schotsman, Joost, Boyd, Craig, Harland, Cain, Shearer, Audrey, Wren, Jess, Clermont, Giles, Garrard, William, Kalchthaler, Kyle, King, Andrew, Ricketts, Daniel, Malakoutis, Salim, Marroquin, Oscar, Music, Edvin, Quinn, Kevin, Cate, Heidi, Pearson, Karen, Collins, Joanne, Hanson, Jane, Williams, Penny, Jackson, Shane, Asghar, Adeeba, Dyas, Sarah, Sutu, Mihaela, Murphy, Sheenagh, Williamson, Dawn, Mguni, Nhlanhla, Potter, Alison, Porter, David, Goodwin, Jayne, Rook, Clare, Harrison, Susie, Williams, Hannah, Campbell, Hilary, Lomme, Kaatje, Williamson, James, Sheffield, Jonathan, Van’t Hoff, Willian, McCracken, Phobe, Young, Meredith, Board, Jasmin, Mart, Emma, Knott, Cameron, Smith, Julie, Boschert, Catherine, Affleck, Julia, Ramanan, Mahesh, D’Souza, Ramsy, Pateman, Kelsey, Shakih, Arif, Cheung, Winston, Kol, Mark, Wong, Helen, Shah, Asim, Wagh, Atul, Simpson, Joanne, Duke, Graeme, Chan, Peter, Cartner, Brittney, Hunter, Stephanie, Laver, Russell, Shrestha, Tapaswi, Regli, Adrian, Pellicano, Annamaria, McCullough, James, Tallott, Mandy, Kumar, Nikhil, Panwar, Rakshit, Brinkerhoff, Gail, Koppen, Cassandra, Cazzola, Federica, Brain, Matthew, Mineall, Sarah, Fischer, Roy, Biradar, Vishwanath, Soar, Natalie, White, Hayden, Estensen, Kristen, Morrison, Lynette, Smith, Joanne, Cooper, Melanie, Health, Monash, Shehabi, Yahya, Al-Bassam, Wisam, Hulley, Amanda, Whitehead, Christina, Lowrey, Julie, Gresha, Rebecca, Walsham, James, Meyer, Jason, Harward, Meg, Venz, Ellen, Williams, Patricia, Kurenda, Catherine, Smith, Kirsy, Smith, Margaret, Garcia, Rebecca, Barge, Deborah, Byrne, Deborah, Byrne, Kathleen, Driscoll, Alana, Fortune, Louise, Janin, Pierre, Yarad, Elizabeth, Hammond, Naomi, Bass, Frances, Ashelford, Angela, Waterson, Sharon, Wedd, Steve, McNamara, Robert, Buhr, Heidi, Coles, Jennifer, Schweikert, Sacha, Wibrow, Bradley, Rauniyar, Rashmi, Myers, Erina, Fysh, Ed, Dawda, Ashlish, Mevavala, Bhaumik, Litton, Ed, Ferrier, Janet, Nair, Priya, Buscher, Hergen, Reynolds, Claire, Santamaria, John, Barbazza, Leanne, Homes, Jennifer, Smith, Roger, Murray, Lauren, Brailsford, Jane, Forbes, Loretta, Maguire, Teena, Mariappa, Vasanth, Smith, Judith, Simpson, Scott, Maiden, Matthew, Bone, Allsion, Horton, Michelle, Salerno, Tania, Sterba, Martin, Geng, Wenli, Depuydt, Pieter, De Waele, Jan, De Bus, Liesbet, Fierens, Jan, Bracke, Stephanie, Reeve, Brenda, Dechert, William, Chassé, Michaël, Carrier, François Martin, Boumahni, Dounia, Benettaib, Fatna, Ghamraoui, Ali, Bellemare, David, Cloutier, Ève, Francoeur, Charles, Lamontagne, François, D’Aragon, Frédérick, Carbonneau, Elaine, Leblond, Julie, Vazquez-Grande, Gloria, Marten, Nicole, Wilson, Maggie, Albert, Martin, Serri, Karim, Cavayas, Alexandros, Duplaix, Mathilde, Williams, Virginie, Rochwerg, Bram, Karachi, Tim, Oczkowski, Simon, Centofanti, John, Millen, Tina, Duan, Erick, Tsang, Jennifer, Patterson, Lisa, English, Shane, Watpool, Irene, Porteous, Rebecca, Miezitis, Sydney, McIntyre, Lauralyn, Brochard, Laurent, Burns, Karen, Sandhu, Gyan, Khalid, Imrana, Binnie, Alexandra, Powell, Elizabeth, McMillan, Alexandra, Luk, Tracy, Aref, Noah, Andric, Zdravko, Cviljevic, Sabina, Đimoti, Renata, Zapalac, Marija, Mirković, Gordan, Baršić, Bruno, Kutleša, Marko, Kotarski, Viktor, Vujaklija Brajković, Ana, Babel, Jakša, Sever, Helena, Dragija, Lidija, Kušan, Ira, Vaara, Suvi, Pettilä, Leena, Heinonen, Jonna, Kuitunen, Anne, Karlsson, Sari, Vahtera, Annukka, Kiiski, Heikki, Ristimäki, Sanna, Azaiz, Amine, Charron, Cyril, Godement, Mathieu, Geri, Guillaume, Vieillard-Baron, Antoine, Pourcine, Franck, Monchi, Mehran, Luis, David, Mercier, Romain, Sagnier, Anne, Verrier, Nathalie, Caplin, Cecile, Siami, Shidasp, Aparicio, Christelle, Vautier, Sarah, Jeblaoui, Asma, Fartoukh, Muriel, Courtin, Laura, Labbe, Vincent, Leparco, Cécile, Muller, Grégoire, Nay, Mai-Anh, Kamel, Toufik, Benzekri, Dalila, Jacquier, Sophie, Mercier, Emmanuelle, Chartier, Delphine, Salmon, Charlotte, Dequin, PierreFrançois, Schneider, Francis, Morel, Guillaume, L’Hotellier, Sylvie, Badie, Julio, Berdaguer, Fernando Daniel, Malfroy, Sylvain, Mezher, Chaouki, Bourgoin, Charlotte, Megarbane, Bruno, Voicu, Sebastian, Deye, Nicolas, Malissin, Isabelle, Sutterlin, Laetitia, Guitton, Christophe, Darreau, Cédric, Landais, Mickaël, Chudeau, Nicolas, Robert, Alain, Moine, Pierre, Heming, Nicholas, Maxime, Virginie, Bossard, Isabelle, Nicholier, Tiphaine Barbarin, Colin, Gwenhael, Zinzoni, Vanessa, Maquigneau, Natacham, Finn, André, Kreß, Gabriele, Hoff, Uwe, Friedrich Hinrichs, Carl, Nee, Jens, Hagel, Stefan, Ankert, Juliane, Kolanos, Steffi, Bloos, Frank, Petros, Sirak, Pasieka, Bastian, Kunz, Kevin, Appelt, Peter, Schütze, Bianka, Kluge, Stefan, Nierhaus, Axel, Jarczak, Dominik, Roedl, Kevin, Weismann, Dirk, Frey, Anna, Klinikum Neukölln, Vivantes, Reill, Lorenz, Distler, Michael, Maselli, Astrid, Bélteczki, János, Magyar, István, Fazekas, Ágnes, Kovács, Sándor, Szőke, Viktória, Szigligeti, Gábor, Leszkoven, János, Collins, Daniel, Breen, Patrick, Frohlich, Stephen, Whelan, Ruth, McNicholas, Bairbre, Scully, Michael, Casey, Siobhan, Kernan, Maeve, Doran, Peter, O’Dywer, Michael, Smyth, Michelle, Hayes, Leanne, Hoiting, Oscar, Peters, Marco, Rengers, Els, Evers, Mirjam, Prinssen, Anton, Bosch Ziekenhuis, Jeroen, Simons, Koen, Rozendaal, Wim, Polderman, F, De Jager, P, Moviat, M, Paling, A, Salet, A, Rademaker, Emma, Peters, Anna Linda, De Jonge, E, Wigbers, J, Guilder, E, Butler, M, Cowdrey, Keri-Anne, Newby, Lynette, Chen, Yan, Simmonds, Catherine, McConnochie, Rachael, Ritzema Carter, Jay, Henderson, Seton, Van Der Heyden, Kym, Mehrtens, Jan, Williams, Tony, Kazemi, Alex, Song, Rima, Lai, Vivian, Girijadevi, Dinu, Everitt, Robert, Russell, Robert, Hacking, Danielle, Buehner, Ulrike, Williams, Erin, Browne, Troy, Grimwade, Kate, Goodson, Jennifer, Keet, Owen, Callender, Owen, Martynoga, Robert, Trask, Kara, Butler, Amelia, Schischka, Livia, Young, Chelsea, Lesona, Eden, Olatunji, Shaanti, Robertson, Yvonne, José, Nuno, Amaro Dos Santos Catorze, Teodoro, De Lima Pereira, Tiago Nuno Alfaro, Neves Pessoa, Lucilia Maria, Castro Ferreira, Ricardo Manuel, Pereira Sousa Bastos, Joana Margarida, Aysel Florescu, Simin, Stanciu, Delia, Zaharia, Miahela Florentina, Kosa, Alma Gabriela, Codreanu, Daniel, Marabi, Yaseen, Al Qasim, Eman, Moneer Hagazy, Mohamned, Al Swaidan, Lolowa, Arishi, Hatim, Muñoz-Bermúdez, Rosana, Marin-Corral, Judith, Salazar Degracia, Anna, Parrilla Gómez, Francisco, Mateo López, Maria Isabel, Rodriguez Fernandez, Jorge, Cárcel Fernández, Sheila, Carmona Flores, Rosario, León López, Rafael, De La Fuente Martos, Carmen, Allan, Angela, Polgarova, Petra, Farahi, Neda, McWilliam, Stephen, Hawcutt, Daniel, Rad, Laura, O’Malley, Laura, Whitbread, Jennifer, Kelsall, Olivia, Wild, Laura, Thrush, Jessica, Wood, Hannah, Austin, Karen, Donnelly, Adrian, Kelly, Martin, O’Kane, Sinéad, McClintock, Declan, Warnock, Majella, Johnston, Paul, Gallagher, Linda Jude, Mc Goldrick, Clare, Mc Master, Moyra, Strzelecka, Anna, Jha, Rajeev, Kalogirou, Michael, Ellis, Christine, Krishnamurthy, Vinodh, Deelchand, Vashish, Silversides, Jon, McGuigan, Peter, Ward, Kathryn, O’Neill, Aisling, Finn, Stephanie, Phillips, Barbara, Mullan, Dee, Oritz-Ruiz De Gordoa, Laura, Thomas, Matthew, Sweet, Katie, Grimmer, Lisa, Johnson, Rebekah, Pinnell, Jez, Robinson, Matt, Gledhill, Lisa, Wood, Tracy, Morgan, Matt, Cole, Jade, Hill, Helen, Davies, Michelle, Antcliffe, David, Templeton, Maie, Rojo, Roceld, Coghlan, Phoebe, Smee, Joanna, Mackay, Euan, Cort, Jon, Whileman, Amanda, Spencer, Thomas, Spittle, Nick, Kasipandian, Vidya, Patel, Amit, Allibone, Suzanne, Genetu, Roman Mary, Ramali, Mohamed, Ghosh, Alison, Bamford, Peter, London, Emily, Cawley, Kathryn, Faulkner, Maria, Jeffrey, Helen, Smith, Tim, Brewer, Chris, Gregory, Jane, Limb, James, Cowton, Amanda, O’Brien, Julie, Nikitas, Nikitas, Wells, Colin, Lankester, Liana, Pulletz, Mark, Birch, Jenny, Wiseman, Sophie, Horton, Sarah, Alegria, Ana, Turki, Salah, Elsefi, Tarek, Crisp, Nikki, Allen, Louise, McCullagh, Iain, Robinson, Philip, Hays, Carole, Babio-Galan, Maite, Stevenson, Hannah, Khare, Divya, Pinder, Meredith, Selvamoni, Selvin, Gopinath, Amitha, Pugh, Richard, Menzies, Daniel, Mackay, Callum, Allan, Elizabeth, Davies, Gwyneth, Puxty, Kathryn, McCue, Claire, Cathcart, Susanne, Hickey, Naomi, Ireland, Jane, Yusuff, Hakeem, Isgro, Graziella, Brightling, Chris, Bourne, Michelle, Craner, Michelle, Watters, Malcolm, Prout, Rachel, Davies, Louisa, Pegler, Suzannah, Kyeremeh, Lynsey, Arbane, Gill, Wilson, Karen, Gomm, Linda, Francia, Federica, Brett, Stephen, Sousa Arias, Sonia, Elin Hall, Rebecca, Budd, Joanna, Small, Charlotte, Birch, Janine, Collins, Emma, Henning, Jeremy, Bonner, Stephen, Hugill, Keith, Cirstea, Emanuel, Wilkinson, Dean, Karlikowski, Michal, Sutherland, Helen, Wilhelmsen, Elva, Woods, Jane, North, Julie, Sundaran, Dhinesh, Hollos, Laszlo, Coburn, Susan, Walsh, Joanne, Turns, Margaret, Hopkins, Phil, Smith, John, Noble, Harriet, Depante, Maria Theresa, Clarey, Emma, Laha, Shondipon, Verlander, Mark, Williams, Alexandra, Huckle, Abby, Hall, Andrew, Cooke, Jill, Gardiner-Hill, Caroline, Maloney, Carolyn, Qureshi, Hafiz, Flint, Neil, Nicholson, Sarah, Southin, Sara, Nicholson, Andrew, Borgatta, Barbara, Turner-Bone, Ian, Reddy, Amie, Wilding, Laura, Chamara Warnapura, Loku, Agno Sathianathan, Ronan, Golden, David, Hart, Ciaran, Jones, Jo, Bannard-Smith, Jonathan, Henry, Joanne, Birchall, Katie, Pomeroy, Fiona, Quayle, Rachael, Makowski, Arystarch, Misztal, Beata, Ahmed, Iram, KyereDiabour, Thyra, Naiker, Kevin, Stewart, Richard, Mwaura, Esther, Mew, Louise, Wren, Lynn, Willams, Felicity, Innes, Richard, Doble, Patricia, Hutter, Joanne, Shovelton, Charmaine, Plumb, Benjamin, Szakmany, Tamas, Hamlyn, Vincent, Hawkins, Nancy, Lewis, Sarah, Dell, Amanda, Gopal, Shameer, Ganguly, Saibal, Smallwood, Andrew, Harris, Nichola, Metherell, Stella, Lazaro, Juan Martin, Newman, Tabitha, Fletcher, Simon, Nortje, Jurgens, Fottrell-Gould, Deirdre, Randell, Georgina, Zaman, Mohsin, Elmahi, Einas, Jones, Andrea, Hall, Kathryn, Mills, Gary, Ryalls, Kim, Bowler, Helen, Sall, Jas, Bourne, Richard, Borrill, Zoe, Duncan, Tracey, Lamb, Thomas, Shaw, Joanne, Fox, Claire, Moreno Cuesta, Jeronimo, Xavier, Kugan, Purohit, Dharam, Elhassan, Munzir, Bakthavatsalam, Dhanalakshmi, Rowland, Matthew, Hutton, Paula, Bashyal, Archana, Davidson, Neil, Hird, Clare, Chhablani, Manish, Phalod, Gunjan, Kirkby, Amy, Archer, Simon, Netherton, Kimberley, Reschreiter, Henrik, Camsooksai, Julie, Patch, Sarah, Jenkins, Sarah, Pogson, David, Rose, Steve, Daly, Zoe, Brimfield, Lutece, Claridge, Helen, Parekh, Dhruv, Bergin, Colin, Bates, Michelle, Dasgin, Joanne, McGhee, Christopher, Sim, Malcolm, Hay, Sophie Kennedy, Henderson, Steven, Phull, Mandeep-Kaur, Zaidi, Abbas, Pogreban, Tatiana, Rosaroso, Lace Paulyn, Harvey, Daniel, Lowe, Benjamin, Meredith, Megan, Ryan, Lucy, Hormis, Anil, Walker, Rachel, Collier, Dawn, Kimpton, Sarah, Oakley, Susan, Rooney, Kevin, Rodden, Natalie, Hughes, Emma, Thomson, Nicola, McGlynn, Deborah, Walden, Andrew, Jacques, Nicola, Coles, Holly, Tilney, Emma, Vowell, Emma, Schuster-Bruce, Martin, Pitts, Sally, Miln, Rebecca, Purandare, Laura, Vamplew, Luke, Spivey, Michael, Bean, Sarah, Burt, Karen, Moore, Lorraine, Day, Christopher, Gibson, Charly, Gordon, Elizabeth, Zitter, Letizia, Keenan, Samantha, Baker, Evelyn, Cherian, Shiney, Cutler, Sean, Roynon-Reed, Anna, Harrington, Kate, Raithatha, Ajay, Bauchmuller, Kris, Ahmad, Norfaizan, Grecu, Irina, Trodd, Dawn, Martin, Jane, Wrey Brown, Caroline, Arias, Ana-Marie, Craven, Thomas, Hope, David, Singleton, Jo, Clark, Sarah, Rae, Nicola, Welters, Ingeborg, Hamilton, David Oliver, Williams, Karen, Waugh, Victoria, Shaw, David, Puthucheary, Zudin, Martin, Timothy, Santos, Filipa, Uddin, Ruzena, Somerville, Alastair, Tatham, Kate Colette, Jhanji, Shaman, Black, Ethel, Dela Rosa, Arnold, Howle, Ryan, Tully, Redmond, Drummond, Andrew, Dearden, Joy, Philbin, Jennifer, Munt, Sheila, Vuylsteke, Alain, Chan, Charles, Victor, Saji, Matsa, Ramprasad, Gellamucho, Minerva, Creagh-Brown, Ben, Tooley, Joe, Montague, Laura, De Beaux, Fiona, Bullman, Laetitia, Kersiake, Ian, Demetriou, Carrie, Mitchard, Sarah, Ramos, Lidia, White, Katie, Donnison, Phil, Johns, Maggie, Casey, Ruth, Mattocks, Lehentha, Salisbury, Sarah, Dark, Paul, Claxton, Andrew, McLachlan, Danielle, Slevin, Kathryn, Lee, Stephanie, Hulme, Jonathan, Joseph, Sibet, Kinney, Fiona, Senya, Ho Jan, Oborska, Aneta, Kayani, Abdul, Hadebe, Bernard, Orath Prabakaran, Rajalakshmi, Nichols, Lesley, Thomas, Matt, Worner, Ruth, Faulkner, Beverley, Gendall, Emma, Hayes, Kati, Hamilton-Davies, Colin, Chan, Carmen, Mfuko, Celina, Abbass, Hakam, Mandadapu, Vineela, Leaver, Susannah, Forton, Daniel, Patel, Kamal, Paramasivam, Elankumaran, Powell, Matthew, Gould, Richard, Wilby, Elizabeth, Howcroft, Clare, Banach, Dorota, Fernández De Pinedo Artaraz, Ziortza, Cabreros, Leilani, White, Ian, Croft, Maria, Holland, Nicky, Pereira, Rita, Zaki, Ahmed, Johnson, David, Jackson, Matthew, Garrard, Hywel, Juhaz, Vera, Roy, Alistair, Rostron, Anthony, Woods, Lindsey, Cornell, Sarah, Pillai, Suresh, Harford, Rachel, Rees, Tabitha, Ivatt, Helen, Sundara Raman, Ajay, Davey, Miriam, Lee, Kelvin, Barber, Russell, Chablani, Manish, Brohi, Farooq, Jagannathan, Vijay, Clark, Michele, Purvis, Sarah, Wetherill, Bill, Dushianthan, Ahilanandan, Cusack, Rebecca, De Courcy-Golder, Kim, Smith, Simon, Jackson, Susan, Attwood, Ben, Parsons, Penny, Page, Valerie, Zhao, Xiao Bei, Oza, Deepali, Rhodes, Jonathan, Anderson, Tom, Morris, Sheila, Xia Le Tai, Charlotte, Thomas, Amy, Keen, Alexandra, Digby, Stephen, Cowley, Nicholas, Southern, David, Reddy, Harsha, Campbell, Andy, Watkins, Claire, Smuts, Sara, Touma, Omar, Barnes, Nicky, Alexander, Peter, Felton, Tim, Ferguson, Susan, Sellers, Katharine, Bradley-Potts, Joanne, Yates, David, Birkinshaw, Isobel, Kell, Kay, Marshall, Nicola, and Carr-Knott, Lisa

Subjects
2. Zero hunger, Adult, Male, Hydrocortisone, SARS-CoV-2, Pneumonia, Viral, Anti-Inflammatory Agents, COVID-19, Shock, Middle Aged, Respiration, Artificial, 3. Good health, Betacoronavirus, Intensive Care Units, Treatment Outcome, Adrenal Cortex Hormones, Early Termination of Clinical Trials, Humans, Female, Coronavirus Infections, Pandemics
Abstract

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited. Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19. Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020. Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108). Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%). Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively. Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions. Trial Registration: ClinicalTrials.gov Identifier: NCT02735707.

18. Improving patient care transitions from the intensive care unit to the ward by learning from everyday practice. A multicenter qualitative study.

Author

Hesselink G, Bins S, Bonte I, Westerhof B, Hoek N, van Strien J, Moviat M, and Zegers M

Subjects
Humans, Male, Female, Netherlands, Middle Aged, Adult, Aged, Surveys and Questionnaires, Continuity of Patient Care standards, Patients' Rooms organization & administration, Patients' Rooms statistics & numerical data, Patients' Rooms standards, Qualitative Research, Intensive Care Units organization & administration, Patient Transfer methods, Patient Transfer standards, Patient Transfer statistics & numerical data
Abstract

Objective: To explore and describe the everyday practices (Work-As-Done) that hinder and facilitate patient care transitions from the intensive care unit (ICU) to the ward., Research Method/design: Multiple qualitative case studies in the ICU and various specialized wards of three Dutch hospitals. Adult patients planned to be transferred were purposively sampled on a variety of characteristics along with their relative (if present), and the ICU and ward nurses who were involved in the transition process. Data were collected by using multiple sources (i.e., observations, semi-structured interviews and a qualitative survey) and then systematically analyzed using the thematic analysis approach until saturation was reached., Findings: Twenty-six cases were studied. For each case, the actual transfer was observed. Sixteen patients, five relatives and 36 nurses were interviewed. Two patients completed the survey. Fifteen themes emerged from the data, showing that the quality of transitions is influenced by the extent to which nurses anticipate to patient-specific needs (e.g., providing timely and adequate information, orientation, mental support and aftercare) and to the needs of the counterpart to continue care (e.g., by preparing handovers) besides following standard procedures. Data also show that procedures sometimes interfere with what works best in practice (e.g., communication via a liaison service instead of direct communication between ICU and ward nurses)., Conclusions: Subtle, non-technical nursing skills play an important role in comforting patients and in the coordination of care when patients are transferred from the ICU to the ward., Implications for Clinical Practice: These Work-As-Done findings and their underlying narratives, that are often overlooked when focusing on quality improvement, can be used as material to reflect on own practice and raise awareness for its impact on patients. They may stimulate healthcare staff in crafting interventions for optimizing the transition process., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Published
2024
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19. Putting ICU triage guidelines into practice: A simulation study using observations and interviews.

Author

Abma IL, Olthuis GJ, Maassen ITHM, Knippenberg ML, Moviat M, Hasker AJ, Buenen AG, Fikkers BG, and Oerlemans AJM

Subjects
Humans, COVID-19 epidemiology, Critical Care, Pandemics, Triage, Intensive Care Units, Practice Guidelines as Topic
Abstract

Background: The COVID-19 pandemic has prompted many countries to formulate guidelines on how to deal with a worst-case scenario in which the number of patients needing intensive care unit (ICU) care exceeds the number of available beds. This study aims to explore the experiences of triage teams when triaging fictitious patients with the Dutch triage guidelines. It provides an overview of the factors that influence decision-making when performing ICU triage with triage guidelines., Methods: Eight triage teams from four hospitals were given files of fictitious patients needing intensive care and instructed to triage these patients. Sessions were observed and audio-recorded. Four focus group interviews with triage team members were held to reflect on the sessions and the Dutch guidelines. The results were analyzed by inductive content analysis., Results: The Dutch triage guidelines were the main basis for making triage decisions. However, some teams also allowed their own considerations (outside of the guidelines) to play a role when making triage decisions, for example to help avoid using non-medical criteria such as prioritization based on age group. Group processes also played a role in decision-making: triage choices can be influenced by the triagists' opinion on the guidelines and the carefulness with which they are applied. Intensivists, being most experienced in prognostication of critical illness, often had the most decisive role during triage sessions., Conclusions: Using the Dutch triage guidelines is feasible, but there were some inconsistencies in prioritization between teams that may be undesirable. ICU triage guideline writers should consider which aspects of their criteria might, when applied in practice, lead to inconsistencies or ethically questionable prioritization of patients. Practical training of triage team members in applying the guidelines, including explanation of the rationale underlying the triage criteria, might improve the willingness and ability of triage teams to follow the guidelines closely., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Abma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Published
2023
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20. Effect of Hydrocortisone on Mortality and Organ Support in Patients With Severe COVID-19: The REMAP-CAP COVID-19 Corticosteroid Domain Randomized Clinical Trial.

Author

Angus DC, Derde L, Al-Beidh F, Annane D, Arabi Y, Beane A, van Bentum-Puijk W, Berry L, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Buzgau A, Cheng AC, de Jong M, Detry M, Estcourt L, Fitzgerald M, Goossens H, Green C, Haniffa R, Higgins AM, Horvat C, Hullegie SJ, Kruger P, Lamontagne F, Lawler PR, Linstrum K, Litton E, Lorenzi E, Marshall J, McAuley D, McGlothin A, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Parker J, Rowan K, Sanil A, Santos M, Saunders C, Seymour C, Turner A, van de Veerdonk F, Venkatesh B, Zarychanski R, Berry S, Lewis RJ, McArthur C, Webb SA, Gordon AC, Al-Beidh F, Angus D, Annane D, Arabi Y, van Bentum-Puijk W, Berry S, Beane A, Bhimani Z, Bonten M, Bradbury C, Brunkhorst F, Buxton M, Cheng A, De Jong M, Derde L, Estcourt L, Goossens H, Gordon A, Green C, Haniffa R, Lamontagne F, Lawler P, Litton E, Marshall J, McArthur, McAuley D, McGuinness S, McVerry B, Montgomery S, Mouncey P, Murthy S, Nichol A, Parke R, Rowan K, Seymour C, Turner A, van de Veerdonk F, Webb S, Zarychanski R, Campbell L, Forbes A, Gattas D, Heritier S, Higgins L, Kruger P, Peake S, Presneill J, Seppelt I, Trapani T, Young P, Bagshaw S, Daneman N, Ferguson N, Misak C, Santos M, Hullegie S, Pletz M, Rohde G, Rowan K, Alexander B, Basile K, Girard T, Horvat C, Huang D, Linstrum K, Vates J, Beasley R, Fowler R, McGloughlin S, Morpeth S, Paterson D, Venkatesh B, Uyeki T, Baillie K, Duffy E, Fowler R, Hills T, Orr K, Patanwala A, Tong S, Netea M, Bihari S, Carrier M, Fergusson D, Goligher E, Haidar G, Hunt B, Kumar A, Laffan M, Lawless P, Lother S, McCallum P, Middeldopr S, McQuilten Z, Neal M, Pasi J, Schutgens R, Stanworth S, Turgeon A, Weissman A, Adhikari N, Anstey M, Brant E, de Man A, Lamonagne F, Masse MH, Udy A, Arnold D, Begin P, Charlewood R, Chasse M, Coyne M, Cooper J, Daly J, Gosbell I, Harvala-Simmonds H, Hills T, MacLennan S, Menon D, McDyer J, Pridee N, Roberts D, Shankar-Hari M, Thomas H, Tinmouth A, Triulzi D, Walsh T, Wood E, Calfee C, O’Kane C, Shyamsundar M, Sinha P, Thompson T, Young I, Bihari S, Hodgson C, Laffey J, McAuley D, Orford N, Neto A, Detry M, Fitzgerald M, Lewis R, McGlothlin A, Sanil A, Saunders C, Berry L, Lorenzi E, Miller E, Singh V, Zammit C, van Bentum Puijk W, Bouwman W, Mangindaan Y, Parker L, Peters S, Rietveld I, Raymakers K, Ganpat R, Brillinger N, Markgraf R, Ainscough K, Brickell K, Anjum A, Lane JB, Richards-Belle A, Saull M, Wiley D, Bion J, Connor J, Gates S, Manax V, van der Poll T, Reynolds J, van Beurden M, Effelaar E, Schotsman J, Boyd C, Harland C, Shearer A, Wren J, Clermont G, Garrard W, Kalchthaler K, King A, Ricketts D, Malakoutis S, Marroquin O, Music E, Quinn K, Cate H, Pearson K, Collins J, Hanson J, Williams P, Jackson S, Asghar A, Dyas S, Sutu M, Murphy S, Williamson D, Mguni N, Potter A, Porter D, Goodwin J, Rook C, Harrison S, Williams H, Campbell H, Lomme K, Williamson J, Sheffield J, van’t Hoff W, McCracken P, Young M, Board J, Mart E, Knott C, Smith J, Boschert C, Affleck J, Ramanan M, D’Souza R, Pateman K, Shakih A, Cheung W, Kol M, Wong H, Shah A, Wagh A, Simpson J, Duke G, Chan P, Cartner B, Hunter S, Laver R, Shrestha T, Regli A, Pellicano A, McCullough J, Tallott M, Kumar N, Panwar R, Brinkerhoff G, Koppen C, Cazzola F, Brain M, Mineall S, Fischer R, Biradar V, Soar N, White H, Estensen K, Morrison L, Smith J, Cooper M, Health M, Shehabi Y, Al-Bassam W, Hulley A, Whitehead C, Lowrey J, Gresha R, Walsham J, Meyer J, Harward M, Venz E, Williams P, Kurenda C, Smith K, Smith M, Garcia R, Barge D, Byrne D, Byrne K, Driscoll A, Fortune L, Janin P, Yarad E, Hammond N, Bass F, Ashelford A, Waterson S, Wedd S, McNamara R, Buhr H, Coles J, Schweikert S, Wibrow B, Rauniyar R, Myers E, Fysh E, Dawda A, Mevavala B, Litton E, Ferrier J, Nair P, Buscher H, Reynolds C, Santamaria J, Barbazza L, Homes J, Smith R, Murray L, Brailsford J, Forbes L, Maguire T, Mariappa V, Smith J, Simpson S, Maiden M, Bone A, Horton M, Salerno T, Sterba M, Geng W, Depuydt P, De Waele J, De Bus L, Fierens J, Bracke S, Reeve B, Dechert W, Chassé M, Carrier FM, Boumahni D, Benettaib F, Ghamraoui A, Bellemare D, Cloutier È, Francoeur C, Lamontagne F, D’Aragon F, Carbonneau E, Leblond J, Vazquez-Grande G, Marten N, Wilson, Albert M, Serri K, Cavayas A, Duplaix M, Williams V, Rochwerg B, Karachi T, Oczkowski S, Centofanti J, Millen T, Duan E, Tsang J, Patterson L, English S, Watpool I, Porteous R, Miezitis S, McIntyre L, Brochard L, Burns K, Sandhu G, Khalid I, Binnie A, Powell E, McMillan A, Luk T, Aref N, Andric Z, Cviljevic S, Đimoti R, Zapalac M, Mirković G, Baršić B, Kutleša M, Kotarski V, Vujaklija Brajković A, Babel J, Sever H, Dragija L, Kušan I, Vaara S, Pettilä L, Heinonen J, Kuitunen A, Karlsson S, Vahtera A, Kiiski H, Ristimäki S, Azaiz A, Charron C, Godement M, Geri G, Vieillard-Baron A, Pourcine F, Monchi M, Luis D, Mercier R, Sagnier A, Verrier N, Caplin C, Siami S, Aparicio C, Vautier S, Jeblaoui A, Fartoukh M, Courtin L, Labbe V, Leparco C, Muller G, Nay MA, Kamel T, Benzekri D, Jacquier S, Mercier E, Chartier D, Salmon C, Dequin P, Schneider F, Morel G, L’Hotellier S, Badie J, Berdaguer FD, Malfroy S, Mezher C, Bourgoin C, Megarbane B, Voicu, Deye N, Malissin I, Sutterlin L, Guitton C, Darreau C, Landais M, Chudeau N, Robert A, Moine P, Heming N, Maxime V, Bossard I, Nicholier TB, Colin G, Zinzoni V, Maquigneau N, Finn A, Kreß G, Hoff U, Friedrich Hinrichs C, Nee J, Pletz M, Hagel S, Ankert J, Kolanos S, Bloos F, Petros S, Pasieka B, Kunz K, Appelt P, Schütze B, Kluge S, Nierhaus A, Jarczak D, Roedl K, Weismann D, Frey A, Klinikum Neukölln V, Reill L, Distler M, Maselli A, Bélteczki J, Magyar I, Fazekas Á, Kovács S, Szőke V, Szigligeti G, Leszkoven J, Collins D, Breen P, Frohlich S, Whelan R, McNicholas B, Scully M, Casey S, Kernan M, Doran P, O’Dywer M, Smyth M, Hayes L, Hoiting O, Peters M, Rengers E, Evers M, Prinssen A, Bosch Ziekenhuis J, Simons K, Rozendaal W, Polderman F, de Jager P, Moviat M, Paling A, Salet A, Rademaker E, Peters AL, de Jonge E, Wigbers J, Guilder E, Butler M, Cowdrey KA, Newby L, Chen Y, Simmonds C, McConnochie R, Ritzema Carter J, Henderson S, Van Der Heyden K, Mehrtens J, Williams T, Kazemi A, Song R, Lai V, Girijadevi D, Everitt R, Russell R, Hacking D, Buehner U, Williams E, Browne T, Grimwade K, Goodson J, Keet O, Callender O, Martynoga R, Trask K, Butler A, Schischka L, Young C, Lesona E, Olatunji S, Robertson Y, José N, Amaro dos Santos Catorze T, de Lima Pereira TNA, Neves Pessoa LM, Castro Ferreira RM, Pereira Sousa Bastos JM, Aysel Florescu S, Stanciu D, Zaharia MF, Kosa AG, Codreanu D, Marabi Y, Al Qasim E, Moneer Hagazy M, Al Swaidan L, Arishi H, Muñoz-Bermúdez R, Marin-Corral J, Salazar Degracia A, Parrilla Gómez F, Mateo López MI, Rodriguez Fernandez J, Cárcel Fernández S, Carmona Flores R, León López R, de la Fuente Martos C, Allan A, Polgarova P, Farahi N, McWilliam S, Hawcutt D, Rad L, O’Malley L, Whitbread J, Kelsall O, Wild L, Thrush J, Wood H, Austin K, Donnelly A, Kelly M, O’Kane S, McClintock D, Warnock M, Johnston P, Gallagher LJ, Mc Goldrick C, Mc Master M, Strzelecka A, Jha R, Kalogirou M, Ellis C, Krishnamurthy V, Deelchand V, Silversides J, McGuigan P, Ward K, O’Neill A, Finn S, Phillips B, Mullan D, Oritz-Ruiz de Gordoa L, Thomas M, Sweet K, Grimmer L, Johnson R, Pinnell J, Robinson M, Gledhill L, Wood T, Morgan M, Cole J, Hill H, Davies M, Antcliffe D, Templeton M, Rojo R, Coghlan P, Smee J, Mackay E, Cort J, Whileman A, Spencer T, Spittle N, Kasipandian V, Patel A, Allibone S, Genetu RM, Ramali M, Ghosh A, Bamford P, London E, Cawley K, Faulkner M, Jeffrey H, Smith T, Brewer C, Gregory J, Limb J, Cowton A, O’Brien J, Nikitas N, Wells C, Lankester L, Pulletz M, Williams P, Birch J, Wiseman S, Horton S, Alegria A, Turki S, Elsefi T, Crisp N, Allen L, McCullagh I, Robinson P, Hays C, Babio-Galan M, Stevenson H, Khare D, Pinder M, Selvamoni S, Gopinath A, Pugh R, Menzies D, Mackay C, Allan E, Davies G, Puxty K, McCue C, Cathcart S, Hickey N, Ireland J, Yusuff H, Isgro G, Brightling C, Bourne M, Craner M, Watters M, Prout R, Davies L, Pegler S, Kyeremeh L, Arbane G, Wilson K, Gomm L, Francia F, Brett S, Sousa Arias S, Elin Hall R, Budd J, Small C, Birch J, Collins E, Henning J, Bonner S, Hugill K, Cirstea E, Wilkinson D, Karlikowski M, Sutherland H, Wilhelmsen E, Woods J, North J, Sundaran D, Hollos L, Coburn S, Walsh J, Turns M, Hopkins P, Smith J, Noble H, Depante MT, Clarey E, Laha S, Verlander M, Williams A, Huckle A, Hall A, Cooke J, Gardiner-Hill C, Maloney C, Qureshi H, Flint N, Nicholson S, Southin S, Nicholson A, Borgatta B, Turner-Bone I, Reddy A, Wilding L, Chamara Warnapura L, Agno Sathianathan R, Golden D, Hart C, Jones J, Bannard-Smith J, Henry J, Birchall K, Pomeroy F, Quayle R, Makowski A, Misztal B, Ahmed I, KyereDiabour T, Naiker K, Stewart R, Mwaura E, Mew L, Wren L, Willams F, Innes R, Doble P, Hutter J, Shovelton C, Plumb B, Szakmany T, Hamlyn V, Hawkins N, Lewis S, Dell A, Gopal S, Ganguly S, Smallwood A, Harris N, Metherell S, Lazaro JM, Newman T, Fletcher S, Nortje J, Fottrell-Gould D, Randell G, Zaman M, Elmahi E, Jones A, Hall K, Mills G, Ryalls K, Bowler H, Sall J, Bourne R, Borrill Z, Duncan T, Lamb T, Shaw J, Fox C, Moreno Cuesta J, Xavier K, Purohit D, Elhassan M, Bakthavatsalam D, Rowland M, Hutton P, Bashyal A, Davidson N, Hird C, Chhablani M, Phalod G, Kirkby A, Archer S, Netherton K, Reschreiter H, Camsooksai J, Patch S, Jenkins S, Pogson D, Rose S, Daly Z, Brimfield L, Claridge H, Parekh D, Bergin C, Bates M, Dasgin J, McGhee C, Sim M, Hay SK, Henderson S, Phull MK, Zaidi A, Pogreban T, Rosaroso LP, Harvey D, Lowe B, Meredith M, Ryan L, Hormis A, Walker R, Collier D, Kimpton S, Oakley S, Rooney K, Rodden N, Hughes E, Thomson N, McGlynn D, Walden A, Jacques N, Coles H, Tilney E, Vowell E, Schuster-Bruce M, Pitts S, Miln R, Purandare L, Vamplew L, Spivey M, Bean S, Burt K, Moore L, Day C, Gibson C, Gordon E, Zitter L, Keenan S, Baker E, Cherian S, Cutler S, Roynon-Reed A, Harrington K, Raithatha A, Bauchmuller K, Ahmad N, Grecu I, Trodd D, Martin J, Wrey Brown C, Arias AM, Craven T, Hope D, Singleton J, Clark S, Rae N, Welters I, Hamilton DO, Williams K, Waugh V, Shaw D, Puthucheary Z, Martin T, Santos F, Uddin R, Somerville A, Tatham KC, Jhanji S, Black E, Dela Rosa A, Howle R, Tully R, Drummond A, Dearden J, Philbin J, Munt S, Vuylsteke A, Chan C, Victor S, Matsa R, Gellamucho M, Creagh-Brown B, Tooley J, Montague L, De Beaux F, Bullman L, Kersiake I, Demetriou C, Mitchard S, Ramos L, White K, Donnison P, Johns M, Casey R, Mattocks L, Salisbury S, Dark P, Claxton A, McLachlan D, Slevin K, Lee S, Hulme J, Joseph S, Kinney F, Senya HJ, Oborska A, Kayani A, Hadebe B, Orath Prabakaran R, Nichols L, Thomas M, Worner R, Faulkner B, Gendall E, Hayes K, Hamilton-Davies C, Chan C, Mfuko C, Abbass H, Mandadapu V, Leaver S, Forton D, Patel K, Paramasivam E, Powell M, Gould R, Wilby E, Howcroft C, Banach D, Fernández de Pinedo Artaraz Z, Cabreros L, White I, Croft M, Holland N, Pereira R, Zaki A, Johnson D, Jackson M, Garrard H, Juhaz V, Roy A, Rostron A, Woods L, Cornell S, Pillai S, Harford R, Rees T, Ivatt H, Sundara Raman A, Davey M, Lee K, Barber R, Chablani M, Brohi F, Jagannathan V, Clark M, Purvis S, Wetherill B, Dushianthan A, Cusack R, de Courcy-Golder K, Smith S, Jackson S, Attwood B, Parsons P, Page V, Zhao XB, Oza D, Rhodes J, Anderson T, Morris S, Xia Le Tai C, Thomas A, Keen A, Digby S, Cowley N, Wild L, Southern D, Reddy H, Campbell A, Watkins C, Smuts S, Touma O, Barnes N, Alexander P, Felton T, Ferguson S, Sellers K, Bradley-Potts J, Yates D, Birkinshaw I, Kell K, Marshall N, Carr-Knott L, and Summers C

Subjects
Adrenal Cortex Hormones therapeutic use, Adult, Anti-Inflammatory Agents adverse effects, Betacoronavirus, COVID-19, Coronavirus Infections mortality, Coronavirus Infections therapy, Early Termination of Clinical Trials, Female, Humans, Hydrocortisone adverse effects, Intensive Care Units, Male, Middle Aged, Pandemics, Pneumonia, Viral mortality, Pneumonia, Viral therapy, SARS-CoV-2, Shock drug therapy, Shock etiology, Treatment Outcome, COVID-19 Drug Treatment, Anti-Inflammatory Agents administration & dosage, Coronavirus Infections drug therapy, Hydrocortisone administration & dosage, Pneumonia, Viral drug therapy, Respiration, Artificial statistics & numerical data
Abstract

Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited., Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19., Design, Setting, and Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin. Between March 9 and June 17, 2020, 614 adult patients with suspected or confirmed COVID-19 were enrolled and randomized within at least 1 domain following admission to an intensive care unit (ICU) for respiratory or cardiovascular organ support at 121 sites in 8 countries. Of these, 403 were randomized to open-label interventions within the corticosteroid domain. The domain was halted after results from another trial were released. Follow-up ended August 12, 2020., Interventions: The corticosteroid domain randomized participants to a fixed 7-day course of intravenous hydrocortisone (50 mg or 100 mg every 6 hours) (n = 143), a shock-dependent course (50 mg every 6 hours when shock was clinically evident) (n = 152), or no hydrocortisone (n = 108)., Main Outcomes and Measures: The primary end point was organ support-free days (days alive and free of ICU-based respiratory or cardiovascular support) within 21 days, where patients who died were assigned -1 day. The primary analysis was a bayesian cumulative logistic model that included all patients enrolled with severe COVID-19, adjusting for age, sex, site, region, time, assignment to interventions within other domains, and domain and intervention eligibility. Superiority was defined as the posterior probability of an odds ratio greater than 1 (threshold for trial conclusion of superiority >99%)., Results: After excluding 19 participants who withdrew consent, there were 384 patients (mean age, 60 years; 29% female) randomized to the fixed-dose (n = 137), shock-dependent (n = 146), and no (n = 101) hydrocortisone groups; 379 (99%) completed the study and were included in the analysis. The mean age for the 3 groups ranged between 59.5 and 60.4 years; most patients were male (range, 70.6%-71.5%); mean body mass index ranged between 29.7 and 30.9; and patients receiving mechanical ventilation ranged between 50.0% and 63.5%. For the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively, the median organ support-free days were 0 (IQR, -1 to 15), 0 (IQR, -1 to 13), and 0 (-1 to 11) days (composed of 30%, 26%, and 33% mortality rates and 11.5, 9.5, and 6 median organ support-free days among survivors). The median adjusted odds ratio and bayesian probability of superiority were 1.43 (95% credible interval, 0.91-2.27) and 93% for fixed-dose hydrocortisone, respectively, and were 1.22 (95% credible interval, 0.76-1.94) and 80% for shock-dependent hydrocortisone compared with no hydrocortisone. Serious adverse events were reported in 4 (3%), 5 (3%), and 1 (1%) patients in the fixed-dose, shock-dependent, and no hydrocortisone groups, respectively., Conclusions and Relevance: Among patients with severe COVID-19, treatment with a 7-day fixed-dose course of hydrocortisone or shock-dependent dosing of hydrocortisone, compared with no hydrocortisone, resulted in 93% and 80% probabilities of superiority with regard to the odds of improvement in organ support-free days within 21 days. However, the trial was stopped early and no treatment strategy met prespecified criteria for statistical superiority, precluding definitive conclusions., Trial Registration: ClinicalTrials.gov Identifier: NCT02735707.

Published
2020
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21. Purpura fulminans mimicking toxic epidermal necrolysis - additional value of 16S rRNA sequencing and skin biopsy.

Author

Dautzenberg KHW, Polderman FN, van Suylen RJ, and Moviat MAM

Subjects
Biopsy methods, Diagnosis, Differential, Female, Humans, Middle Aged, Purpura Fulminans genetics, Sequence Analysis, RNA methods, Purpura Fulminans diagnosis, RNA, Ribosomal, 16S genetics, Skin pathology, Stevens-Johnson Syndrome diagnosis
Abstract

Both purpura fulminans and toxic epidermal necrolysis (TEN) are rare and life-threatening disorders with a high mortality. We present a case of suspected rapidly progressive, severe pneumococcal sepsis-induced purpura fulminans complicated by multiple organ failure, severe epidermolysis and cutaneous necrosis. We show the diagnostic challenge to differentiate between purpura fulminans and TEN, as the extensive epidermolysis in purpura fulminans may mimic TEN and we highlight the additional value of repeated skin biopsies and 16S rRNA gene sequencing.

Published
2017

22. Stewart analysis of apparently normal acid-base state in the critically ill.

Author

Moviat M, van den Boogaard M, Intven F, van der Voort P, van der Hoeven H, and Pickkers P

Subjects
APACHE, Blood Chemical Analysis, Female, Humans, Hydrogen-Ion Concentration, Incidence, Intensive Care Units, Male, Middle Aged, Netherlands epidemiology, Prospective Studies, Acid-Base Imbalance epidemiology, Acid-Base Imbalance physiopathology, Critical Illness
Abstract

Purpose: This study aimed to describe Stewart parameters in critically ill patients with an apparently normal acid-base state and to determine the incidence of mixed metabolic acid-base disorders in these patients., Materials and Methods: We conducted a prospective, observational multicenter study of 312 consecutive Dutch intensive care unit patients with normal pH (7.35 ≤ pH ≤ 7.45) on days 3 to 5. Apparent (SIDa) and effective strong ion difference (SIDe) and strong ion gap (SIG) were calculated from 3 consecutive arterial blood samples. Multivariate linear regression analysis was performed to analyze factors potentially associated with levels of SIDa and SIG., Results: A total of 137 patients (44%) were identified with an apparently normal acid-base state (normal pH and -2 < base excess < 2 and 35 < PaCO2 < 45 mm Hg). In this group, SIDa values were 36.6 ± 3.6 mEq/L, resulting from hyperchloremia (109 ± 4.6 mEq/L, sodium-chloride difference 30.0 ± 3.6 mEq/L); SIDe values were 33.5 ± 2.3 mEq/L, resulting from hypoalbuminemia (24.0 ± 6.2 g/L); and SIG values were 3.1 ± 3.1 mEq/L. During admission, base excess increased secondary to a decrease in SIG levels and, subsequently, an increase in SIDa levels. Levels of SIDa were associated with positive cation load, chloride load, and admission SIDa (multivariate r(2) = 0.40, P < .001). Levels of SIG were associated with kidney function, sepsis, and SIG levels at intensive care unit admission (multivariate r(2) = 0.28, P < .001)., Conclusions: Intensive care unit patients with an apparently normal acid-base state have an underlying mixed metabolic acid-base disorder characterized by acidifying effects of a low SIDa (caused by hyperchloremia) and high SIG combined with the alkalinizing effect of hypoalbuminemia., (© 2013.)

Published
2013
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23. Impaired renal function is associated with greater urinary strong ion differences in critically ill patients with metabolic acidosis.

Author

Moviat M, Terpstra AM, van der Hoeven JG, and Pickkers P

Subjects
Acidosis blood, Acidosis complications, Acute Kidney Injury blood, Acute Kidney Injury complications, Aged, Chlorides blood, Creatinine blood, Female, Humans, Hydrogen-Ion Concentration, Linear Models, Male, Middle Aged, Multivariate Analysis, Prospective Studies, Acidosis urine, Acute Kidney Injury urine, Chlorides urine
Abstract

Purpose: Urinary excretion of chloride corrects metabolic acidosis, but this may be hampered in patients with impaired renal function. We explored the effects of renal function on acid-base characteristics and urinary strong ion excretion using the Stewart approach in critically ill patients with metabolic acidosis., Materials and Methods: We examined the plasma and urine chemistry in 65 critically ill (mixed medical and surgical) patients with metabolic acidosis. The apparent strong ion difference, effective strong ion difference, strong ion gap, and urinary simplified strong ion difference (urinary SID) were calculated. Linear regression analyses were used (1) to assess whether plasma creatinine concentrations were related to urinary SIDs values, adjusted for blood pH levels, and (2) to determine whether urinary SID values were associated with blood pH levels., Results: Creatinine concentrations were positively and significantly (P < .001) associated with urinary SIDs values, adjusted for pH levels. Urinary simplified strong ion difference values were inversely and significantly (P < .001) related to pH levels., Conclusions: In critically ill patients with metabolic acidosis, impaired renal function was associated with greater urinary SIDs. Subsequently, the higher urinary SIDs values were related to lower pH levels, illustrating the importance of renal chloride excretion to correct for acidosis., (Copyright © 2012 Elsevier Inc. All rights reserved.)

Published
2012
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24. H1N1 vaccination: expect the unexpected.

Author

Popa C, Wever PC, and Moviat M

Subjects
Aged, Anti-Bacterial Agents therapeutic use, Ciprofloxacin therapeutic use, Female, Floxacillin therapeutic use, Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human prevention & control, Shock, Septic drug therapy, Clostridium Infections diagnosis, Clostridium septicum isolation & purification, Influenza Vaccines adverse effects, Shock, Septic etiology
Published
2011

25. Acetazolamide-mediated decrease in strong ion difference accounts for the correction of metabolic alkalosis in critically ill patients.

Author

Moviat M, Pickkers P, van der Voort PH, and van der Hoeven JG

Subjects
Acetazolamide pharmacology, Acid-Base Imbalance blood, Acid-Base Imbalance drug therapy, Adult, Aged, Alkalosis epidemiology, Bicarbonates blood, Female, Humans, Hydrogen-Ion Concentration drug effects, Intensive Care Units, Male, Middle Aged, Acetazolamide therapeutic use, Alkalosis blood, Alkalosis drug therapy, Critical Illness epidemiology
Abstract

Introduction: Metabolic alkalosis is a commonly encountered acid-base derangement in the intensive care unit. Treatment with the carbonic anhydrase inhibitor acetazolamide is indicated in selected cases. According to the quantitative approach described by Stewart, correction of serum pH due to carbonic anhydrase inhibition in the proximal tubule cannot be explained by excretion of bicarbonate. Using the Stewart approach, we studied the mechanism of action of acetazolamide in critically ill patients with a metabolic alkalosis., Methods: Fifteen consecutive intensive care unit patients with metabolic alkalosis (pH > or = 7.48 and HCO3- > or = 28 mmol/l) were treated with a single administration of 500 mg acetazolamide intravenously. Serum levels of strong ions, creatinine, lactate, weak acids, pH and partial carbon dioxide tension were measured at 0, 12, 24, 48 and 72 hours. The main strong ions in urine and pH were measured at 0, 3, 6, 12, 24, 48 and 72 hours. Strong ion difference (SID), strong ion gap, sodium-chloride effect, and the urinary SID were calculated. Data (mean +/- standard error were analyzed by comparing baseline variables and time dependent changes by one way analysis of variance for repeated measures., Results: After a single administration of acetazolamide, correction of serum pH (from 7.49 +/- 0.01 to 7.46 +/- 0.01; P = 0.001) was maximal at 24 hours and sustained during the period of observation. The parallel decrease in partial carbon dioxide tension was not significant (from 5.7 +/- 0.2 to 5.3 +/- 0.2 kPa; P = 0.08) and there was no significant change in total concentration of weak acids. Serum SID decreased significantly (from 41.5 +/- 1.3 to 38.0 +/- 1.0 mEq/l; P = 0.03) due to an increase in serum chloride (from 105 +/- 1.2 to 110 +/- 1.2 mmol/l; P < 0.0001). The decrease in serum SID was explained by a significant increase in the urinary excretion of sodium without chloride during the first 24 hours (increase in urinary SID: from 48.4 +/- 15.1 to 85.3 +/- 7.7; P = 0.02)., Conclusion: A single dose of acetazolamide effectively corrects metabolic alkalosis in critically ill patients by decreasing the serum SID. This effect is completely explained by the increased renal excretion ratio of sodium to chloride, resulting in an increase in serum chloride.

Published
2006
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26. Conventional or physicochemical approach in intensive care unit patients with metabolic acidosis.

Author

Moviat M, van Haren F, and van der Hoeven H

Subjects
Acidosis diagnosis, Adult, Aged, Aged, 80 and over, Anions blood, Blood Chemical Analysis methods, Chlorides blood, Female, Humans, Lactic Acid blood, Male, Middle Aged, Process Assessment, Health Care, Acid-Base Equilibrium, Acidosis metabolism, Acidosis therapy, Intensive Care Units
Abstract

Introduction: Metabolic acidosis is the most frequent acid-base disorder in the intensive care unit. The optimal analysis of the underlying mechanisms is unknown., Aim: To compare the conventional approach with the physicochemical approach in quantifying complicated metabolic acidosis in patients in the intensive care unit., Patients and Methods: We included 50 consecutive patients with a metabolic acidosis (standard base excess < or = -5). We measured sodium, potassium, calcium, magnesium, chloride, lactate, creatinine, urea, phosphate, albumin, pH, and arterial carbon dioxide and oxygen tensions in every patient. We then calculated HCO3-, the base excess, the anion gap, the albumin-corrected anion gap, the apparent strong ion difference, the effective strong ion difference and the strong ion gap., Results: Most patients had multiple underlying mechanisms explaining the metabolic acidosis. Unmeasured strong anions were present in 98%, hyperchloremia was present in 80% and elevated lactate levels were present in 62% of patients. Calculation of the anion gap was not useful for the detection of hyperlactatemia. There was an excellent relation between the strong ion gap and the albumin-corrected and lactate-corrected anion gap (r2 = 0.934), with a bias of 1.86 and a precision of 0.96., Conclusion: Multiple underlying mechanisms are present in most intensive care unit patients with a metabolic acidosis. These mechanisms are reliably determined by measuring the lactate-corrected and albumin-corrected anion gap. Calculation of the more time-consuming strong ion gap according to Stewart is therefore unnecessary.

Published
2003
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