Search

Your search keyword '"Veenith, Tonny"' showing total 149 results
Start Over Author "Veenith, Tonny" Search Limiters Full Text
149 results on '"Veenith, Tonny"'

4. Accelerated immune ageing is associated with COVID-19 disease severity

Author

Lord, Janet M., Veenith, Tonny, Sullivan, Jack, Sharma-Oates, Archana, Richter, Alex G., Greening, Neil J., McAuley, Hamish J. C., Evans, Rachael A., Moss, Paul, Moore, Shona C., Turtle, Lance, Gautam, Nandan, Gilani, Ahmed, Bajaj, Manan, Wain, Louise V., Brightling, Christopher, Raman, Betty, Marks, Michael, Singapuri, Amisha, Elneima, Omer, Openshaw, Peter J. M., and Duggal, Niharika A.

Published
2024
Full Text
View/download PDF

5. 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

Author

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

Published
2024
Full Text
View/download PDF

6. Energy failure following traumatic brain injury : potential mechanisms and impact of normobaric hyperoxia

Author

Veenith, Tonny V., Coles, Jonathan, and Menon, David

Subjects
617.4, Traumatic Brain Injury, Neurotrauma, Proton Spectroscopy, DTI
Abstract

Cerebral ischaemia is a frequent finding in post mortem studies following traumatic brain injury (TBI), but clinical studies using 15oxygen positron emission tomography (15O PET) suggest that classical ischaemia is uncommon beyond the first 24 hours after injury. Evidence of metabolic failure in the absence of classical ischaemia may represent ongoing neuronal dysfunction and progressive neuronal loss. Any therapeutic intervention that mitigates such metabolic derangements before they result in irreversible neuronal injury may improve tissue fate and improve the functional outcome for patients. Energy failure was spatially defined, characterised, and mapped using 15O and 18Fluoromisinidazole ([18F] FMISO) positron emission tomography. This enabled differentiation of classical ischaemia, diffusion hypoxia, and established infarction, and provided data on the dominant local mechanism at any given time after TBI. My thesis also aimed to examine the utility of diffusion tensor imaging and whole-brain proton MR spectroscopy (WB 1H MRS) as imaging biomarkers to investigate normobaric hyperoxia as a therapeutic option following traumatic brain injury (TBI). Using ([18F] FMISO PET evidence of tissue hypoxia consistent with microvascular ischaemia was found across the injured brain. The impact of normobaric hyperoxia (NBH) was examined in a clinical TBI cohort using diffusion tensor imaging and WB 1H MRS. Some evidence of benefit was found within the perilesional brain, but further studies should examine the value of a longer period of exposure to NBH and whether this has implications for functional outcome.

Published
2020
Full Text
View/download PDF

9. Oculomic stratification of COVID-19 patients' intensive therapy unit admission status and mortality by retinal morphological findings.

Author

Courtie, Ella, Taylor, Matthew, Danks, Dominic, Acharjee, Animesh, Jackson, Thomas, Logan, Ann, Veenith, Tonny, and Blanch, Richard J.

Subjects
COVID-19, PEARSON correlation (Statistics), INTENSIVE care patients, MORTALITY, HOSPITAL mortality
Abstract

To investigate if retinal thickness has predictive utility in COVID-19 outcomes by evaluating the statistical association between retinal thickness using OCT and of COVID-19-related mortality. Secondary outcomes included associations between retinal thickness and length of stay (LoS) in hospital. In this retrospective cohort study, OCT scans from 230 COVID-19 patients admitted to the Intensive Care Unit (ITU) were compared with age and gender-matched patients with pneumonia from before March 2020. Total retinal, GCL + IPL, and RNFL thicknesses were recorded, and analysed with systemic measures collected at the time of admission and mortality outcomes, using linear regression models, Pearson's R correlation, and Principal Component Analysis. Retinal thickness was significantly associated with all-time mortality on follow up in the COVID-19 group (p = 0.015), but not 28-day mortality (p = 0.151). Retinal and GCL + IPL layer thicknesses were both significantly associated with LoS in hospital for COVID-19 patients (p = 0.006 for both), but not for patients with pneumonia (p = 0.706 and 0.989 respectively). RNFL thickness was not associated with LoS in either group (COVID-19 p = 0.097, pneumonia p = 0.692). Retinal thickness associated with LoS in hospital and long-term mortality in COVID-19 patients, suggesting that retinal structure could be a surrogate marker for frailty and predictor of disease severity in this group of patients, but not in patients with pneumonia from other causes. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

14. SARS-CoV-2 infection is associated with anti-desmoglein 2 autoantibody detection

Author

Ward, Kerensa E, primary, Steadman, Lora, additional, Karim, Abid R, additional, Reynolds, Gary M, additional, Pugh, Matthew, additional, Chua, Winnie, additional, Faustini, Sian E, additional, Veenith, Tonny, additional, Thwaites, Ryan S, additional, Openshaw, Peter J M, additional, Drayson, Mark T, additional, Shields, Adrian M, additional, Cunningham, Adam F, additional, Wraith, David C, additional, and Richter, Alex G, additional

Published
2023
Full Text
View/download PDF

18. SARS‐CoV‐2‐specific IgG1/IgG3 but not IgM in children with Pediatric Inflammatory Multi‐System Syndrome

Author

Perez‐toledo, Marisol, Faustini, Sian E., Jossi, Sian E., Shields, Adrian M., Marcial‐juarez, Edith, Kanthimathinathan, Hari Krishnan, Allen, Joel D., Watanabe, Yasunori, Goodall, Margaret, Willcox, Benjamin E., Willcox, Carrie R., Salim, Mahboob, Wraith, David C., Veenith, Tonny V., Syrimi, Eleni, Drayson, Mark T., Jyothish, Deepthi, Al‐abadi, Eslam, Chikermane, Ashish, Welch, Steven B., Masilamani, Kavitha, Hackett, Scott, Crispin, Max, Scholefield, Barnaby R., Cunningham, Adam F., Richter, Alex G., and Genuneit, Jon

Subjects
2019-20 coronavirus outbreak, biology, Coronavirus disease 2019 (COVID-19), business.industry, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Immunology, medicine.disease, Virology, Immunoglobulin G, Systemic inflammatory response syndrome, Immunoglobulin M, Pediatrics, Perinatology and Child Health, biology.protein, Immunology and Allergy, Medicine, business, Letters to the Editor, Letter to the Editor
Abstract

During the COVID-19 outbreak, reports have surfaced of children who present with features of a multisystem inflammatory syndrome with overlapping features of Kawasaki disease and toxic shock syndrome - Paediatric Inflammatory Multisystem Syndrome- temporally associated with SARS-CoV-2 pandemic (PIMS-TS). Initial reports find that many of the children are PCR-negative for SARS-CoV-2, so it is difficult to confirm whether this syndrome is a late complication of viral infection in an age group largely spared the worst consequences of this infection, or if this syndrome reflects enhanced surveillance.Children hospitalised for symptoms consistent with PIMS-TS between 28 April and 8 May 2020, and who were PCR-negative for SARS-CoV-2, were tested for antibodies to viral spike glycoprotein using an ELISA test.Eight patients (age range 7-14 years, 63% male) fulfilled case-definition for PIMS-TS during the study period. Six of the eight patients required admission to intensive care. All patients exhibited significant IgG and IgA responses to viral spike glycoprotein. Further assessment showed that the IgG isotypes detected in children with PIMS-TS were of the IgG1 and IgG3 subclasses, a distribution similar to that observed in samples from hospitalised adult COVID-19 patients. In contrast, IgG2 and IgG4 were not detected in children or adults. IgM was not detected in children, which contrasts with adult hospitalised adult COVID-19 patients of whom all had positive IgM responses.Strong IgG antibody responses can be detected in PCR-negative children with PIMS-TS. The low detection rate of IgM in these patients is consistent with infection having occurred weeks previously and that the syndrome onset occurs well after the control of SARS-CoV-2 viral load. This implies that the disease is largely immune-mediated. Lastly, this indicates that serology can be an appropriate diagnostic tool in select patient groups.

Published
2021

19. SARS-CoV-2 Spike- and Nucleoprotein-Specific Antibodies Induced After Vaccination or Infection Promote Classical Complement Activation

Author

Lamerton, Rachel E., primary, Marcial-Juarez, Edith, additional, Faustini, Sian E., additional, Perez-Toledo, Marisol, additional, Goodall, Margaret, additional, Jossi, Siân E., additional, Newby, Maddy L., additional, Chapple, Iain, additional, Dietrich, Thomas, additional, Veenith, Tonny, additional, Shields, Adrian M., additional, Harper, Lorraine, additional, Henderson, Ian R., additional, Rayes, Julie, additional, Wraith, David C., additional, Watson, Steve P., additional, Crispin, Max, additional, Drayson, Mark T., additional, Richter, Alex G., additional, and Cunningham, Adam F., additional

Published
2022
Full Text
View/download PDF

21. A Bayesian reanalysis of the standard versus accelerated initiation of renal-replacement therapy in acute kidney injury (STARRT-AKI) trial

Author

Zampieri, Fernando G., da Costa, Bruno R., Vaara, Suvi T., Lamontagne, François, Rochwerg, Bram, Nichol, Alistair D., McGuinness, Shay, McAuley, Danny F., Ostermann, Marlies, Wald, Ron, Bagshaw, Sean M., Adhikari, Neill K. J., Bellomo, Rinaldo, Dreyfuss, Didier, Du, Bin, Gallagher, Martin P., Gaudry, Stéphane, Joannidis, Michael, Liu, Kathleen D., McAuley, Daniel F., McGuinness, Shay P., Palevsky, Paul M., Qiu, Haibo, Pettilä, Ville, Schneider, Antoine G., Smith, Orla M., Vaara, Suvi, Weir, Matthew, 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, 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, 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, Eller, Philipp, Staudinger, Thomas, Tiller, Esther, Schellongowski, Peter, Bojic, Andja, Hoste, Eric, Bracke, Stephanie, De Crop, Luc, Vermeiren, Daisy, Thome, Fernando, Chiella, Bianca, Fendt, Lucia, Antunes, Veronica, Lafrance, Jean-Philippe, D’Aragon, Frédérick, St-Arnaud, Charles, Mayette, Michael, Carbonnaeu, Élaine, Marchand, Joannie, Masse, Marie-Hélène, Ladouceur, Marilène, Turgeon, Alexis F., Lauzier, François, Bellemare, David, Francoeur, Charles Langis, 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, Sia, Ying Tung, 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, 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, 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., 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, 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, 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, Noel Gibney, R. T., Romanovsky, Adam S., McCoshen, Lorena, 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, 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, Qui, Haibo, Yang, Yi, Mo, Min, Pan, Chun, Wu, Changde, Huang, Yingzi, Huang, Lili, Liu, Airan, 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, Ricard, Jean-Damien, Messika, Jonathan, Tiagarajah, Abirami, Emery, Malo, Dechanet, Aline, Gernez, Coralie, Roux, Damien, Martin-Lefevre, Laurent, Fiancette, Maud, Vinatier, Isabelle, Lacherade, Jean Claude, Colin, Gwenhaël, Lebert, Christine, Azais, Marie-Ange, Yehia, Aihem, Pouplet, Caroline, Lagarrigue, Matthieu Henry, 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, Ordon, Marie Amélie, Morizot, Laura, Cantien, Marie, Pousset, François, 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, Saber 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, Callahan, Jean Christophe, 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, Thevenin, Didier, Souweine, Bertrand, Coupez, Elisabeth, Adda, Mireille, Eraldi, Jean-Pierre, Marchalot, Antoine, De Prost, Nicolas, Dessap, Armand Mekontso, 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, Van, Hoa Dang, Boulet, Éric, 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, 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, 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, Thibault, Michel, Eckert, Philippe, Kissling, Sébastien, Polychronopoulos, Erietta, Poli, Elettra, Altarelli, Marco, Schnorf, Madeleine, Mallaird, Samia Abed, 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, Davies, Tracy Michelle, 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, Arbane, Gill, Bociek, Aneta, Marotti, Martina, Lim, Rosario, Campos, Sara, Novellas, Neus Grau, 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, Delgado, Carlos Castro, Farnell-Ward, Sarah, Farrah, Helen, Gray, Geraldine, Joseph, Gipsy, Robinson, Francesca, Tridente, Ascanio, Harrop, Clare, Shuker, Karen, McLaughlan, Derek, Ramsey, Judith, Meehan, Sharon, Rose, Bernd Oliver, 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, Goulart, Joyce McKenney, 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., Aycinena, Juan Carlos, Elias, Madona, Ortiz-Soriano, Victor M., Hauschild, Caroline, Dorfman, Robert, Investigators, STARRT-AKI, Investigators, STARRT-AKI, Zampieri Fernando, G, da Costa Bruno, R, Vaara Suvi, T, Lamontagne, Françoi, Rochwerg, Bram, Nichol Alistair, D, Mcguinness, Shay, McAuley Danny, F, Ostermann, Marlie, Wald, Ron, Bagshaw Sean, M, STARRT-AKI, Investigator, Landoni, G, and Zangrillo, A

Subjects
Kidney-replacement therapy, Critical Illness, Acute Kidney Injury/therapy, Randomized, Bayes Theorem, Acute Kidney Injury, Critical Care and Intensive Care Medicine, Bayesian, Trial, Acute kidney injury, Renal Replacement Therapy, Renal Replacement Therapy/methods, Critical Illness/therapy, Medicine and Health Sciences, Humans, Mortality, Dialysis, Probability
Abstract

Background Timing of initiation of kidney-replacement therapy (KRT) in critically ill patients remains controversial. The Standard versus Accelerated Initiation of Renal-Replacement Therapy in Acute Kidney Injury (STARRT-AKI) trial compared two strategies of KRT initiation (accelerated versus standard) in critically ill patients with acute kidney injury and found neutral results for 90-day all-cause mortality. Probabilistic exploration of the trial endpoints may enable greater understanding of the trial findings. We aimed to perform a reanalysis using a Bayesian framework. Methods We performed a secondary analysis of all 2927 patients randomized in multi-national STARRT-AKI trial, performed at 168 centers in 15 countries. The primary endpoint, 90-day all-cause mortality, was evaluated using hierarchical Bayesian logistic regression. A spectrum of priors includes optimistic, neutral, and pessimistic priors, along with priors informed from earlier clinical trials. Secondary endpoints (KRT-free days and hospital-free days) were assessed using zero–one inflated beta regression. Results The posterior probability of benefit comparing an accelerated versus a standard KRT initiation strategy for the primary endpoint suggested no important difference, regardless of the prior used (absolute difference of 0.13% [95% credible interval [CrI] − 3.30%; 3.40%], − 0.39% [95% CrI − 3.46%; 3.00%], and 0.64% [95% CrI − 2.53%; 3.88%] for neutral, optimistic, and pessimistic priors, respectively). There was a very low probability that the effect size was equal or larger than a consensus-defined minimal clinically important difference. Patients allocated to the accelerated strategy had a lower number of KRT-free days (median absolute difference of − 3.55 days [95% CrI − 6.38; − 0.48]), with a probability that the accelerated strategy was associated with more KRT-free days of 0.008. Hospital-free days were similar between strategies, with the accelerated strategy having a median absolute difference of 0.48 more hospital-free days (95% CrI − 1.87; 2.72) compared with the standard strategy and the probability that the accelerated strategy had more hospital-free days was 0.66. Conclusions In a Bayesian reanalysis of the STARRT-AKI trial, we found very low probability that an accelerated strategy has clinically important benefits compared with the standard strategy. Patients receiving the accelerated strategy probably have fewer days alive and KRT-free. These findings do not support the adoption of an accelerated strategy of KRT initiation.

Published
2022

22. CATALYST trial protocol: a multicentre, open-label, phase II, multiarm trial for an early and accelerated evaluation of the potential treatments for COVID-19 in hospitalised adults

Author

Veenith, Tonny, primary, Fisher, Benjamin A., additional, Slade, Daniel, additional, Rowe, Anna, additional, Sharpe, Rowena, additional, Thickett, David R., additional, Whitehouse, Tony, additional, Rowland, Matthew, additional, Scriven, James, additional, Parekh, Dhruv, additional, Bowden, Sarah J., additional, Savage, Joshua S., additional, Richards, Duncan, additional, Bion, Julian, additional, Kearns, Pamela, additional, and Gates, Simon, additional

Published
2021
Full Text
View/download PDF

23. “Sugar or Salt” (SOS) trial protocol summary

Author

Rowland, Matthew J, primary, Veenith, Tonny, additional, Scomparin, Charlotte, additional, Wilson, Mark H, additional, Hutchinson, Peter J, additional, Kolias, Angelos, additional, Lall, Ranjit, additional, Regan, Scott, additional, Mason, James, additional, Andrews, Peter J D, additional, Horner, Daniel, additional, Naisbitt, Jay, additional, Devrell, Anne, additional, Malins, Andrew, additional, Dark, Paul, additional, McAuley, Danny, additional, and Perkins, Gavin D, additional

Published
2021
Full Text
View/download PDF

24. Stability of OCT and OCTA in the Intensive Therapy Unit Setting

Author

Courtie, Ella F., primary, Kale, Aditya U., additional, Hui, Benjamin T. K., additional, Liu, Xiaoxuan, additional, Capewell, Nicholas I., additional, Bishop, Jonathan R. B., additional, Whitehouse, Tony, additional, Veenith, Tonny, additional, Logan, Ann, additional, Denniston, Alastair K., additional, and Blanch, Richard J., additional

Published
2021
Full Text
View/download PDF

25. Establishing the prevalence of common tissue-specific autoantibodies following severe acute respiratory syndrome coronavirus 2 infection

Author

Richter, Alex G, primary, Shields, Adrian M, additional, Karim, Abid, additional, Birch, David, additional, Faustini, Sian E, additional, Steadman, Lora, additional, Ward, Kerensa, additional, Plant, Timothy, additional, Reynolds, Gary, additional, Veenith, Tonny, additional, Cunningham, Adam F, additional, Drayson, Mark T, additional, and Wraith, David C, additional

Published
2021
Full Text
View/download PDF

26. Postoperative continuous positive airway pressure to prevent pneumonia, re-intubation, and death after major abdominal surgery (PRISM): a multicentre, open-label, randomised, phase 3 trial

Author

Pearse, Rupert, Ranieri, Marco, Abbott, Tom, Pakats, Mari-Lii, Piervincenzi, Edoardo, Patel, Akshaykumar, Kahan, Brennan, Rhodes, Andrew, Dias, Priyanthi, Hewson, Russell, Jammer, Ib, Chew, Michelle, Aldecoa, Cesar, Rodseth, Reitze, Biccard, Bruce, Stephens, Tim, Payne, Sara, Hepworth, David, Pischke, Soeren, Asvall, Joerund, Hausken, John, Jhanji, Shaman, Rooms, Martin, Flint, Neil, Hales, Dawn, Szakmany, Tama, Leitch, Andrew, Spadaro, Savino, Chiumello, Davide, Johnston, Paul, Yeung, Joyce, Tellan, Guglielmo, Veenith, Tonny, Macmillan, Josep, Terragni, Pierpaolo, Sander, Caroline, Kasipandian, Vidya, Ahmad, Tahania, Lee, Aaron, Tammaro, Marcello, Mcauley, Danny, Skene, Simon, Vohra, Ravinder, Wilson, Matt, Edwards, Mark, Griffiths, Ewen, Pritchard, Naomi, Filippini, Claudia, Aasmundstad, Tor, Aksnes, Einar, Alpers, Lise-Merete, Barratt-Due, Andrea, Dahl, Anita, Feldt, Linda, Figari, Elisa, Flåten, Eva, Granheim, Karen, Hagring, Minna, Haugaa, Håkon, Kjoesen, Gisle, Klaevahaugen, Inge, Lenz, Harald, Myhre, Marianne, Orrem, Hilde, Stitt, Emily, Inge Toennessen, Tor, Al-Kadhimi, Samuel, Anker, Robert, Balint, Mihaela, Barraclough, Lauren, Black, Ethel, Clayton, Matt, Conneely, Leonora, Edwards, Zara, Eeles, Alex, Evans, Matthew, Gerstman, Michelle, Greenshields, Nicole, Harvey, Eleanor, Hegarty, Aoife, Hester, Natalie, Hutchinson, Jenna, Kasivisvanathan, Ramanathan, Lawrence, Helen, Marsh, Veronica, Matthews, Laura, Mazzola, Francesca, Mccanny, Jamie, Morrison, Ben, O'Mahony, Michelle, Ling Pang, Ching, Parkinson, David, Pirie, Katrina, Rao Baikady, Ravishankar, Shovel, Louisa, Smith, Lorna, Tatham, Kate, Thomas, Peter, Uren, Sophie, Walker, Susanna, Wills, Alasdair, Andreou, Prematie, Howson, Alex, Kaur, Jasmin, Lewszuk, Adam, Molina, Esther, Ramsamy, Nirmalabaye, Roberts, Emma, Amaral, Vanessa, Begum, Salma, Bekele, Soliana, Cashmore, Richard, Correia, Carmen, Dunkley, Steven, Fernandez, Maria, Fowler, Alexander, Garcia, Amaia, Della Giovampaola, Maria, Greaves, Kathryn, Griffiths, Bethan, Haines, Ryan, Haslop, Richard, Hu, Ying, Hui, Sarah, Januszewska, Marta, Manon, Vasi, Martin, Tim, May, Shaun, Minicozzi, Annamaria, Niebrzegowska, Edyta, Oliveira, Monica, Pates, Katherine, Santos, Filipa, Shahid, Tasnin, Simili, Paolo, Somerville, Alastair, Subhedar, Emily, Uddin, Ruzena, Walker, Sophie, Wan, Yize, Whalley, Jan, Zolfaghari, Parjam, Gunter, Una, Hodkinson, Gemma, Howe, Gwenllian, Baratozzi, Valentina, Casotto, Giulia, Darai, Giulia, Ferrari, Erica, Mistraletti, Giovanni, Palmaverdi, Valentina, Furlani, Stefano, Priani, Paolo, Ragazzi, Riccardo, Salmaso, Marco, Verri, Marco, Volta, Carlo, Nutt, Chri, Mckay, Emma, O'Neill, Orla, Patel, Jaimin, Atterbury, Katie, Ballinger, Sarah, Carling, Natalie, Ellis, Kaytie, Gresty, Jo, Melody, Teresa, Monk, Jade, Norman, Chloe, Reeves, Eleanor, Sampson, Julia, Sutton, Peter, Thomas, Marie, Bamford, Amy, Bergin, Colin, Carrera, Ronald, Cooper, Lauren, Despy, Liesl, Ellis, Karen, Fellows, Emma, Goundry, Stephanie, Harkett, Samantha, Ip, Peter, Mason, Tracy, Mcghee, Christopher, Mclaughlin, Aisling, Neal, Aoife, Pope, Martin, Porter, Stephanie, Smith, Hazel, Snelson, Catherine, Spruce, Elaine, Vigo, Ylenia, Whitehouse, Arlo, Whitehouse, Tony, Donatiello, Maria, Gazzanelli, Sergio, Mezzapesa, Mario, Savino, Martina, Settesoldi, Giacomo, Kunst, Gudrun, Birch, Sian, Greig, Louise, Noble, Harriet, Pappa, Evita, Penhaligon, Bethany, Cossu, Andrea, Floris, Leda, Piredda, Davide, Racca, Alberto, Brattstrom, Olof, Heggelund, Bente, Flodberg, Magnu, Månsson, Sandra, Ahmed, Mamoona, Allen, Jonathan, Bell, Paula, Genetu, Roman, Glennon, Julia, Hanley, Janice, Jenner, Katy, Jogi, Summayyah, Mahjoob, Parisa, Mcgovern, Clare, Murphy, Anthony, Nazari, Roonak, Routledge, Jacki, Uttamlal, Trishna, Ward, Sinead, Iotti, Giorgio, Picchioni, Raffaella, Poma, Silvia, Navalesi, Paolo, Bruni, Andrea, De Leonardis, Brunella, Garofalo, Eugenio, Patel, Panna, Mcarthur, Carol, Burns, Karen, Peters, Steven, Foti, Giuseppe, Calcinati, Serena, Grassi, Alice, Villa, Silvia, Berridge, John, Kanakaraj, Muthuraj, Cahill, Hazel, Forshaw, Greg, Gibson, Andy, Grainger, Lia, Howard, Kate, James, Katherine, Murphy, Zoe, Sweeting, Helen, Tait, Rebecca, Wilcock, Danielle, Yates, David, Cope, Sean, Allan, Ashley, Betts, Rebecca, Cornell, Sarah, Sheriff, Julie, Woods, Lindsey, Grasselli, Giacomo, Brioni, Matteo, Castagna, Luigi, von Rahden, Richard, Farina, Zane, Green, Samantha, Gumede, Simphiwe, Rajah, Chantal, Ramkillawan, Arisha, Moug, Susan, Alcorn, David, Dalton, Carol, Dickinson, Natalie, Edwards, Jennifer, Henderson, Steven, Mcilveen, Erin, Ramsaran, Richard, Bell, Joanne, Fleming, Lorna, Monks, Kathleen, Parker, Jane, Stamper, Sean, Stokes-Denson, Jo, Elías, Elisa, Guerra, Yessica, Rico-Feijoo, Jesu, Kidel, Carlo, Filipe, Helder, Asis, Gretchelle, Gleeson, Yvonne, Harvey, Alice, Jackson, Christine, Mcneil, Margaret, Mingo, Sara, Pakou, Glykeria, Pinto, Manuel, Wright, Stephen, Babio-Galan, Maite, Buckley, David, Calder, Verity, Chishti, Ahmad, Cosgrove, Joseph, Cullen, Katherine, Dunn, Leigh, Faulds, Matthew, Fortune, Jonathan, Gardner, Matthew, Harrison, Abigail, Hays, Carole, Jones, Gerry, Macfie, Caroline, Mccullagh, Iain, Nesbitt, Ian, O'Neil, Suzanne, Phoenix, Catherine, Rangaswamy, Girish, Samson, Craig, Scott, Carmen, Shrestha, Tara, Singh, Rita, Soulsby, Graham, Walton, Jon, Zwiggelaar, Kimberley, Lynch, Ceri, Clarke, Heidi, Deacon, Bethan, Ivatt, Helen, Jones, Leanne, Latif, Ahmed, Oram, Shaun, Perman, Chri, Roche, Lisa, Duys, Rowan, Flint, Margot, Bhagwan, Kamal, Coetzee, Ettienne, Joubert, Ivan, Montoya-Pelaez, Felipe, Navsaria, Pradeep, Picken, Guy, Porrill, Owen, Strathie, Grant, Zungu, Thembinkosi, Aluri, Sireesha, Chau, Simon, Cooper, Deborah, Cunningham, Mishell, Daniels, Allison, Hope, Susan, Nicholson, Alice, Walker, Laura, Giarratano, Antonino, Accurso, Giuseppe, Raineri, Santi, Tricoli, Giuseppe, Innes, Richard, Doble, Patricia, Hutter, Joanne, Pawley, Corinne, Tait, Moira, Hamilton, Mark, Andrade, Edward, Barnes, Veronica, Dalton, Claire, Delgado, Carlo, Farnell-Ward, Sarah, Farrah, Helen, Gray, Geraldine, Howlett, Luisa, Joseph, Gipsy, Krupa, Monika, Leaver, Susannah, Macedo, Joao, Maher, Karen, Mellinghoff, Johanne, Oguntimehin, Rachel, Pereira, Joel, Robinson, France, Ryan, Christine, Shah, Nirav, Shirley, Paula, Torborg, Alexandra, Biyase, Thuli, Drummond, Leanne, Kusel, Belinda, Mbuyisa, Mbalenhle, Solala, Sivuyisiwe, Taylor, Jenna, Ezihe-Ejiofor, Adanma, Aduse-Poku, Maame, Colville, Gary, Davies, Louise, Kang, Soo, Phillips, Alex, Kirk-Bayley, Justin, Kelliher, Leigh, Carvelli, Paula, Daysal, Gokce, Dickinson, Matthew, Doyle, Nancileigh, Hughes, Christina, Montague, Laura, Potter, Elizabeth, Salberg, Armorel, Sibug, Sheena, Sivarajan, Sinduja, Thomson, Milo, Wakeford, Nichola, Rocco, Monica, Alampi, Daniela, Conway, Daniel, Clark, Richard, Maria, Jashmin, Pomeroy, Fiona, Quraishi, Tanviha, Williams, Abigail, Chukkambotla, Srikanth, Aherne, Caroline, Harrison-Briggs, Donna, Fitchett, Jill, Duberley, Stephen, Zanoni, Andrea, Cardinale, Daniela, Righi, Claudia, Blunt, Mark, Fuller, Tracy, Hodgson, Ruth, Rosbergen, Melissa, Brennan, Andrew, Akeroyd, Louise, Boardman, Victoria, Bull, Christopher, Carrick, Mike, Chadderton, Ian, Cooper, Sarah, Goellner, Sarah, Graham, Laura, Ilyas, Carl, King, Jame, Laklouk, Muhammad, Lawton, Tom, Macrow, Christopher, Munro, Michael, Neep, Adam, Northey, Martin, Peacock, Victoria, Pye, Kate, Radley, Lydia, Sira, Jame, Smithson, Beth, Syddall, Stuart, Tooth, David, White, Thoma, Hoel, Sindre, Aakre, Elin, Bakke, Monica, Hoivik, Tone, Makowski, Arystarch, Alcock, Harry, Cardoso, Sean, Coetzee, Samantha, Everett, Mary, Ibrahim, Mohamed, Kouridaki, Christina, Ogbeide, Vongayi, Bertellini, Elisabetta, Bertolotti, Valentina, Buono, Antonio, Fanigliulo, Maria, Kumar, Ram, Richards, Nicole, Allana, Alisha, Bacciarelli, Samantha, Barker, Helen, De Bois, Jessica, Bradley, Isabel, Crooks, Jennifer, Daum, Peter, Feben, Alex, Gannon, Lizzie, Kipling, Sarah, Peetamsingh, Andrew, Quamina, Charlotte, Sethi, Sahiba, Sivadhas, Harry, Sollesta, Kathryn, Swain, Andrew, Tan, Evalyn, Willis, Joan, Zou, Maggie, Cranshaw, Juliu, Barratt, Nina, Bowman, Katie, Branney, Debbie, Letts, Maria, Pitts, Sally, Day, Christopher, Benyon, Sarah, Eddy, Sara, Green, Adam, Grice, Anna, Kelly, Sinéad, Mackle, Daisy, Mariano, Victor, Park, Linda, Sibley, Pauline, Spencer, William, Bignami, Elena, Bellini, Valentina, Forfori, Francesco, Curci, Maria, Leo, Alessandra, Jackson, Matthew, Awolesi, Jennifer, Hodgkinson, Sheila, Kent, Alissa, Leonard, Dee, Stapleton, Claire, Tibke, Clare, Alexander-Sefre, Farhad, Campey, Lorraine, Hall, Kathryn, Spimpolo, Jennifer, Nilsson, Malin, Didriksson, Helen, Hamilton, Emma, Carnahan, Mandy, Mowatt, Chri, Stickley, Jo, Corcione, Antonio, Rossi, Giuseppe, Fladby, Hege, Andersen, Nina, Bjoernå, Gunhild, Reite, Mad, Roertveit, Linda, Seidel, Philipp, Arnold, Glenn, Benavente, Melissa, Chattersingh, Anjalee, Chironga, Nyasha, Hornzee, Gillian, Kibaru, Joyce, Malik, Ihtisham, Mcleavy, Laura, Pathmanathan, Byiravey, Prior, Florence, Strudwick, Rhea, Vezyrgiannis, Mario, Sinha, Aneeta, Babu, Sheeba, Batuwitage, Bisanth, Daly, Zoe, Ellinor, Katharine, Hawes, Elizabeth, Holmes, Ann, Hudson, Karen, Nightingale, Jeremy, Le Poidevin, Alison, Roberts, Lindsey, Kubisz-Pudelko, Agnieszka, Allison, Joanna, Pippard, Lucy, Hamlyn, Vincent, Organ, Angie, Prabhahar, Thaventhran, Bridger, Hayley, Dvorkin, Lee, Manhas, Vitul, Vincent, Rachel, Laha, Shondipon, Cromie, Terri-Louise, Doyle, Donna, Howarth, Rachel, Verlander, Mark, Watt, Ailsa, Williams, Alexandra, Antonelli, Massimo, Cutuli, Salvatore, Montini, Luca, Graterol, Juan, Adams, Benita, Bean, Sarah, Burt, Karen, Hammonds, Fiona, Jigajinni, Suyogi, Fulton, Laura, Kinghorn, Stephen, Mullenheim, Jost, Baillie, Kirsty, Cain, Martyn, Colling, Kerry, Hannaway, Carol, Corso, Ruggero, Calli, Morena, Ferrando, Carlo, Romero, Esther, Jorge-Monjas, Pablo, Soria-García, María, Gómez-Herreras, José, Rodríguez-Jiménez, Rita, De Prada-Martín, Blanca, Massimo Antonelli (ORCID:0000-0003-3007-1670), Luca Montini (ORCID:0000-0003-4602-5134), Pearse, Rupert, Ranieri, Marco, Abbott, Tom, Pakats, Mari-Lii, Piervincenzi, Edoardo, Patel, Akshaykumar, Kahan, Brennan, Rhodes, Andrew, Dias, Priyanthi, Hewson, Russell, Jammer, Ib, Chew, Michelle, Aldecoa, Cesar, Rodseth, Reitze, Biccard, Bruce, Stephens, Tim, Payne, Sara, Hepworth, David, Pischke, Soeren, Asvall, Joerund, Hausken, John, Jhanji, Shaman, Rooms, Martin, Flint, Neil, Hales, Dawn, Szakmany, Tama, Leitch, Andrew, Spadaro, Savino, Chiumello, Davide, Johnston, Paul, Yeung, Joyce, Tellan, Guglielmo, Veenith, Tonny, Macmillan, Josep, Terragni, Pierpaolo, Sander, Caroline, Kasipandian, Vidya, Ahmad, Tahania, Lee, Aaron, Tammaro, Marcello, Mcauley, Danny, Skene, Simon, Vohra, Ravinder, Wilson, Matt, Edwards, Mark, Griffiths, Ewen, Pritchard, Naomi, Filippini, Claudia, Aasmundstad, Tor, Aksnes, Einar, Alpers, Lise-Merete, Barratt-Due, Andrea, Dahl, Anita, Feldt, Linda, Figari, Elisa, Flåten, Eva, Granheim, Karen, Hagring, Minna, Haugaa, Håkon, Kjoesen, Gisle, Klaevahaugen, Inge, Lenz, Harald, Myhre, Marianne, Orrem, Hilde, Stitt, Emily, Inge Toennessen, Tor, Al-Kadhimi, Samuel, Anker, Robert, Balint, Mihaela, Barraclough, Lauren, Black, Ethel, Clayton, Matt, Conneely, Leonora, Edwards, Zara, Eeles, Alex, Evans, Matthew, Gerstman, Michelle, Greenshields, Nicole, Harvey, Eleanor, Hegarty, Aoife, Hester, Natalie, Hutchinson, Jenna, Kasivisvanathan, Ramanathan, Lawrence, Helen, Marsh, Veronica, Matthews, Laura, Mazzola, Francesca, Mccanny, Jamie, Morrison, Ben, O'Mahony, Michelle, Ling Pang, Ching, Parkinson, David, Pirie, Katrina, Rao Baikady, Ravishankar, Shovel, Louisa, Smith, Lorna, Tatham, Kate, Thomas, Peter, Uren, Sophie, Walker, Susanna, Wills, Alasdair, Andreou, Prematie, Howson, Alex, Kaur, Jasmin, Lewszuk, Adam, Molina, Esther, Ramsamy, Nirmalabaye, Roberts, Emma, Amaral, Vanessa, Begum, Salma, Bekele, Soliana, Cashmore, Richard, Correia, Carmen, Dunkley, Steven, Fernandez, Maria, Fowler, Alexander, Garcia, Amaia, Della Giovampaola, Maria, Greaves, Kathryn, Griffiths, Bethan, Haines, Ryan, Haslop, Richard, Hu, Ying, Hui, Sarah, Januszewska, Marta, Manon, Vasi, Martin, Tim, May, Shaun, Minicozzi, Annamaria, Niebrzegowska, Edyta, Oliveira, Monica, Pates, Katherine, Santos, Filipa, Shahid, Tasnin, Simili, Paolo, Somerville, Alastair, Subhedar, Emily, Uddin, Ruzena, Walker, Sophie, Wan, Yize, Whalley, Jan, Zolfaghari, Parjam, Gunter, Una, Hodkinson, Gemma, Howe, Gwenllian, Baratozzi, Valentina, Casotto, Giulia, Darai, Giulia, Ferrari, Erica, Mistraletti, Giovanni, Palmaverdi, Valentina, Furlani, Stefano, Priani, Paolo, Ragazzi, Riccardo, Salmaso, Marco, Verri, Marco, Volta, Carlo, Nutt, Chri, Mckay, Emma, O'Neill, Orla, Patel, Jaimin, Atterbury, Katie, Ballinger, Sarah, Carling, Natalie, Ellis, Kaytie, Gresty, Jo, Melody, Teresa, Monk, Jade, Norman, Chloe, Reeves, Eleanor, Sampson, Julia, Sutton, Peter, Thomas, Marie, Bamford, Amy, Bergin, Colin, Carrera, Ronald, Cooper, Lauren, Despy, Liesl, Ellis, Karen, Fellows, Emma, Goundry, Stephanie, Harkett, Samantha, Ip, Peter, Mason, Tracy, Mcghee, Christopher, Mclaughlin, Aisling, Neal, Aoife, Pope, Martin, Porter, Stephanie, Smith, Hazel, Snelson, Catherine, Spruce, Elaine, Vigo, Ylenia, Whitehouse, Arlo, Whitehouse, Tony, Donatiello, Maria, Gazzanelli, Sergio, Mezzapesa, Mario, Savino, Martina, Settesoldi, Giacomo, Kunst, Gudrun, Birch, Sian, Greig, Louise, Noble, Harriet, Pappa, Evita, Penhaligon, Bethany, Cossu, Andrea, Floris, Leda, Piredda, Davide, Racca, Alberto, Brattstrom, Olof, Heggelund, Bente, Flodberg, Magnu, Månsson, Sandra, Ahmed, Mamoona, Allen, Jonathan, Bell, Paula, Genetu, Roman, Glennon, Julia, Hanley, Janice, Jenner, Katy, Jogi, Summayyah, Mahjoob, Parisa, Mcgovern, Clare, Murphy, Anthony, Nazari, Roonak, Routledge, Jacki, Uttamlal, Trishna, Ward, Sinead, Iotti, Giorgio, Picchioni, Raffaella, Poma, Silvia, Navalesi, Paolo, Bruni, Andrea, De Leonardis, Brunella, Garofalo, Eugenio, Patel, Panna, Mcarthur, Carol, Burns, Karen, Peters, Steven, Foti, Giuseppe, Calcinati, Serena, Grassi, Alice, Villa, Silvia, Berridge, John, Kanakaraj, Muthuraj, Cahill, Hazel, Forshaw, Greg, Gibson, Andy, Grainger, Lia, Howard, Kate, James, Katherine, Murphy, Zoe, Sweeting, Helen, Tait, Rebecca, Wilcock, Danielle, Yates, David, Cope, Sean, Allan, Ashley, Betts, Rebecca, Cornell, Sarah, Sheriff, Julie, Woods, Lindsey, Grasselli, Giacomo, Brioni, Matteo, Castagna, Luigi, von Rahden, Richard, Farina, Zane, Green, Samantha, Gumede, Simphiwe, Rajah, Chantal, Ramkillawan, Arisha, Moug, Susan, Alcorn, David, Dalton, Carol, Dickinson, Natalie, Edwards, Jennifer, Henderson, Steven, Mcilveen, Erin, Ramsaran, Richard, Bell, Joanne, Fleming, Lorna, Monks, Kathleen, Parker, Jane, Stamper, Sean, Stokes-Denson, Jo, Elías, Elisa, Guerra, Yessica, Rico-Feijoo, Jesu, Kidel, Carlo, Filipe, Helder, Asis, Gretchelle, Gleeson, Yvonne, Harvey, Alice, Jackson, Christine, Mcneil, Margaret, Mingo, Sara, Pakou, Glykeria, Pinto, Manuel, Wright, Stephen, Babio-Galan, Maite, Buckley, David, Calder, Verity, Chishti, Ahmad, Cosgrove, Joseph, Cullen, Katherine, Dunn, Leigh, Faulds, Matthew, Fortune, Jonathan, Gardner, Matthew, Harrison, Abigail, Hays, Carole, Jones, Gerry, Macfie, Caroline, Mccullagh, Iain, Nesbitt, Ian, O'Neil, Suzanne, Phoenix, Catherine, Rangaswamy, Girish, Samson, Craig, Scott, Carmen, Shrestha, Tara, Singh, Rita, Soulsby, Graham, Walton, Jon, Zwiggelaar, Kimberley, Lynch, Ceri, Clarke, Heidi, Deacon, Bethan, Ivatt, Helen, Jones, Leanne, Latif, Ahmed, Oram, Shaun, Perman, Chri, Roche, Lisa, Duys, Rowan, Flint, Margot, Bhagwan, Kamal, Coetzee, Ettienne, Joubert, Ivan, Montoya-Pelaez, Felipe, Navsaria, Pradeep, Picken, Guy, Porrill, Owen, Strathie, Grant, Zungu, Thembinkosi, Aluri, Sireesha, Chau, Simon, Cooper, Deborah, Cunningham, Mishell, Daniels, Allison, Hope, Susan, Nicholson, Alice, Walker, Laura, Giarratano, Antonino, Accurso, Giuseppe, Raineri, Santi, Tricoli, Giuseppe, Innes, Richard, Doble, Patricia, Hutter, Joanne, Pawley, Corinne, Tait, Moira, Hamilton, Mark, Andrade, Edward, Barnes, Veronica, Dalton, Claire, Delgado, Carlo, Farnell-Ward, Sarah, Farrah, Helen, Gray, Geraldine, Howlett, Luisa, Joseph, Gipsy, Krupa, Monika, Leaver, Susannah, Macedo, Joao, Maher, Karen, Mellinghoff, Johanne, Oguntimehin, Rachel, Pereira, Joel, Robinson, France, Ryan, Christine, Shah, Nirav, Shirley, Paula, Torborg, Alexandra, Biyase, Thuli, Drummond, Leanne, Kusel, Belinda, Mbuyisa, Mbalenhle, Solala, Sivuyisiwe, Taylor, Jenna, Ezihe-Ejiofor, Adanma, Aduse-Poku, Maame, Colville, Gary, Davies, Louise, Kang, Soo, Phillips, Alex, Kirk-Bayley, Justin, Kelliher, Leigh, Carvelli, Paula, Daysal, Gokce, Dickinson, Matthew, Doyle, Nancileigh, Hughes, Christina, Montague, Laura, Potter, Elizabeth, Salberg, Armorel, Sibug, Sheena, Sivarajan, Sinduja, Thomson, Milo, Wakeford, Nichola, Rocco, Monica, Alampi, Daniela, Conway, Daniel, Clark, Richard, Maria, Jashmin, Pomeroy, Fiona, Quraishi, Tanviha, Williams, Abigail, Chukkambotla, Srikanth, Aherne, Caroline, Harrison-Briggs, Donna, Fitchett, Jill, Duberley, Stephen, Zanoni, Andrea, Cardinale, Daniela, Righi, Claudia, Blunt, Mark, Fuller, Tracy, Hodgson, Ruth, Rosbergen, Melissa, Brennan, Andrew, Akeroyd, Louise, Boardman, Victoria, Bull, Christopher, Carrick, Mike, Chadderton, Ian, Cooper, Sarah, Goellner, Sarah, Graham, Laura, Ilyas, Carl, King, Jame, Laklouk, Muhammad, Lawton, Tom, Macrow, Christopher, Munro, Michael, Neep, Adam, Northey, Martin, Peacock, Victoria, Pye, Kate, Radley, Lydia, Sira, Jame, Smithson, Beth, Syddall, Stuart, Tooth, David, White, Thoma, Hoel, Sindre, Aakre, Elin, Bakke, Monica, Hoivik, Tone, Makowski, Arystarch, Alcock, Harry, Cardoso, Sean, Coetzee, Samantha, Everett, Mary, Ibrahim, Mohamed, Kouridaki, Christina, Ogbeide, Vongayi, Bertellini, Elisabetta, Bertolotti, Valentina, Buono, Antonio, Fanigliulo, Maria, Kumar, Ram, Richards, Nicole, Allana, Alisha, Bacciarelli, Samantha, Barker, Helen, De Bois, Jessica, Bradley, Isabel, Crooks, Jennifer, Daum, Peter, Feben, Alex, Gannon, Lizzie, Kipling, Sarah, Peetamsingh, Andrew, Quamina, Charlotte, Sethi, Sahiba, Sivadhas, Harry, Sollesta, Kathryn, Swain, Andrew, Tan, Evalyn, Willis, Joan, Zou, Maggie, Cranshaw, Juliu, Barratt, Nina, Bowman, Katie, Branney, Debbie, Letts, Maria, Pitts, Sally, Day, Christopher, Benyon, Sarah, Eddy, Sara, Green, Adam, Grice, Anna, Kelly, Sinéad, Mackle, Daisy, Mariano, Victor, Park, Linda, Sibley, Pauline, Spencer, William, Bignami, Elena, Bellini, Valentina, Forfori, Francesco, Curci, Maria, Leo, Alessandra, Jackson, Matthew, Awolesi, Jennifer, Hodgkinson, Sheila, Kent, Alissa, Leonard, Dee, Stapleton, Claire, Tibke, Clare, Alexander-Sefre, Farhad, Campey, Lorraine, Hall, Kathryn, Spimpolo, Jennifer, Nilsson, Malin, Didriksson, Helen, Hamilton, Emma, Carnahan, Mandy, Mowatt, Chri, Stickley, Jo, Corcione, Antonio, Rossi, Giuseppe, Fladby, Hege, Andersen, Nina, Bjoernå, Gunhild, Reite, Mad, Roertveit, Linda, Seidel, Philipp, Arnold, Glenn, Benavente, Melissa, Chattersingh, Anjalee, Chironga, Nyasha, Hornzee, Gillian, Kibaru, Joyce, Malik, Ihtisham, Mcleavy, Laura, Pathmanathan, Byiravey, Prior, Florence, Strudwick, Rhea, Vezyrgiannis, Mario, Sinha, Aneeta, Babu, Sheeba, Batuwitage, Bisanth, Daly, Zoe, Ellinor, Katharine, Hawes, Elizabeth, Holmes, Ann, Hudson, Karen, Nightingale, Jeremy, Le Poidevin, Alison, Roberts, Lindsey, Kubisz-Pudelko, Agnieszka, Allison, Joanna, Pippard, Lucy, Hamlyn, Vincent, Organ, Angie, Prabhahar, Thaventhran, Bridger, Hayley, Dvorkin, Lee, Manhas, Vitul, Vincent, Rachel, Laha, Shondipon, Cromie, Terri-Louise, Doyle, Donna, Howarth, Rachel, Verlander, Mark, Watt, Ailsa, Williams, Alexandra, Antonelli, Massimo, Cutuli, Salvatore, Montini, Luca, Graterol, Juan, Adams, Benita, Bean, Sarah, Burt, Karen, Hammonds, Fiona, Jigajinni, Suyogi, Fulton, Laura, Kinghorn, Stephen, Mullenheim, Jost, Baillie, Kirsty, Cain, Martyn, Colling, Kerry, Hannaway, Carol, Corso, Ruggero, Calli, Morena, Ferrando, Carlo, Romero, Esther, Jorge-Monjas, Pablo, Soria-García, María, Gómez-Herreras, José, Rodríguez-Jiménez, Rita, De Prada-Martín, Blanca, Massimo Antonelli (ORCID:0000-0003-3007-1670), and Luca Montini (ORCID:0000-0003-4602-5134)

Abstract

Background Respiratory complications are an important cause of postoperative morbidity. We aimed to investigate whether continuous positive airway pressure (CPAP) administered immediately after major abdominal surgery could prevent postoperative morbidity.Methods PRISM was an open-label, randomised, phase 3 trial done at 70 hospitals across six countries. Patients aged 50 years or older who were undergoing elective major open abdominal surgery were randomly assigned (1:1) to receive CPAP within 4 h of the end of surgery or usual postoperative care. Patients were randomly assigned using a computer-generated minimisation algorithm with inbuilt concealment. The primary outcome was a composite of pneumonia, endotracheal re-intubation, or death within 30 days after randomisation, assessed in the intention-totreat population. Safety was assessed in all patients who received CPAP. The trial is registered with the ISRCTN registry, ISRCTN56012545.Findings Between Feb 8, 2016, and Nov 11, 2019, 4806 patients were randomly assigned (2405 to the CPAP group and 2401 to the usual care group), of whom 4793 were included in the primary analysis (2396 in the CPAP group and 2397 in the usual care group). 195 (8.1%) of 2396 patients in the CPAP group and 197 (8.2%) of 2397 patients in the usual care group met the composite primary outcome (adjusted odds ratio 1.01 [95% CI 0.81-1.24]; p=0.95). 200 (8.9%) of 2241 patients in the CPAP group had adverse events. The most common adverse events were claustrophobia (78 [3.5%] of 2241 patients), oronasal dryness (43 [1.9%]), excessive air leak (36 [1.6%]), vomiting (26 [1.2%]), and pain (24 [1.1%]). There were two serious adverse events: one patient had significant hearing loss and one patient had obstruction of their venous catheter caused by a CPAP hood, which resulted in transient haemodynamic instability.Interpretation In this large clinical effectiveness trial, CPAP did not reduce the incidence of pneumonia, endotracheal re-intubation, or

Published
2021

28. Development of a high‐sensitivity ELISA detecting IgG, IgA and IgM antibodies to the SARS‐CoV‐2 spike glycoprotein in serum and saliva

Author

Faustini, Sian E., primary, Jossi, Sian E., additional, Perez‐Toledo, Marisol, additional, Shields, Adrian M., additional, Allen, Joel D., additional, Watanabe, Yasunori, additional, Newby, Maddy L., additional, Cook, Alex, additional, Willcox, Carrie R., additional, Salim, Mahboob, additional, Goodall, Margaret, additional, Heaney, Jennifer L., additional, Marcial‐Juarez, Edith, additional, Morley, Gabriella L., additional, Torlinska, Barbara, additional, Wraith, David C., additional, Veenith, Tonny V., additional, Harding, Stephen, additional, Jolles, Stephen, additional, Ponsford, Mark J., additional, Plant, Tim, additional, Huissoon, Aarnoud, additional, O'Shea, Matthew K., additional, Willcox, Benjamin E., additional, Drayson, Mark T., additional, Crispin, Max, additional, Cunningham, Adam F., additional, and Richter, Alex G., additional

Published
2021
Full Text
View/download PDF

30. Assembly Line ICU: what the Long Shops taught us about managing surge capacity for COVID-19

Author

Oakley, Callum, primary, Pascoe, Craig, additional, Balthazor, Daivd, additional, Bennett, Davinia, additional, Gautam, Nandan, additional, Isaac, John, additional, Isherwood, Peter, additional, Matthews, Tracie, additional, Murphy, Nick, additional, Oelofse, Tessa, additional, Patel, Jaimin, additional, Snelson, Catherine, additional, Richardson, Carla, additional, Willson, Jeremy, additional, Wyton, Fiona, additional, Veenith, Tonny, additional, and Whitehouse, Tony, additional

Published
2020
Full Text
View/download PDF

31. Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2

Author

Wu, Honghan, primary, Zhang, Huayu, additional, Karwath, Andreas, additional, Ibrahim, Zina, additional, Shi, Ting, additional, Zhang, Xin, additional, Wang, Kun, additional, Sun, Jiaxing, additional, Dhaliwal, Kevin, additional, Bean, Daniel, additional, Cardoso, Victor Roth, additional, Li, Kezhi, additional, Teo, James T, additional, Banerjee, Amitava, additional, Gao-Smith, Fang, additional, Whitehouse, Tony, additional, Veenith, Tonny, additional, Gkoutos, Georgios V, additional, Wu, Xiaodong, additional, Dobson, Richard, additional, and Guthrie, Bruce, additional

Published
2020
Full Text
View/download PDF

32. Outcomes following acute poor-grade aneurysmal subarachnoid bleed – Is early definitive treatment better than delayed management?

Author

Gittins, Adam, primary, Talbott, Nick, additional, Gilani, Ahmed A, additional, Packer, Greg, additional, Browne, Richard, additional, Mullhi, Randeep, additional, Khan, Zaheed, additional, Whitehouse, T, additional, Belli, Antonio, additional, Mehta, Rajnikant L, additional, Gao-Smith, Fang, additional, and Veenith, Tonny, additional

Published
2020
Full Text
View/download PDF

33. Systematic review of statins in sepsis: There is no evidence of dose response

Author

Quinn, Morgan, Moody, Claire, Tunnicliffe, Bill, Khan, Zahid, Manji, Mav, Gudibande, Sandeep, Murphy, Nick, Whitehouse, Tony, Snelson, Catherine, and Veenith, Tonny

Subjects
Statins -- Analysis -- Dosage and administration, Sepsis -- Care and treatment -- Research, Health
Abstract

Byline: Morgan. Quinn, Claire. Moody, Bill. Tunnicliffe, Zahid. Khan, Mav. Manji, Sandeep. Gudibande, Nick. Murphy, Tony. Whitehouse, Catherine. Snelson, Tonny. Veenith Objectives: Sepsis is a common cause of morbidity and [...]

Published
2016

34. Tracheostomy in special groups of critically ill patients: Who, when, and where?

Author

Longworth, Aisling, Veitch, David, Gudibande, Sandeep, Whitehouse, Tony, Snelson, Catherine, and Veenith, Tonny

Subjects
Critically ill persons -- Care and treatment -- Research, Tracheostomy -- Health aspects, Pneumonia -- Care and treatment -- Research, Health
Abstract

Byline: Aisling. Longworth, David. Veitch, Sandeep. Gudibande, Tony. Whitehouse, Catherine. Snelson, Tonny. Veenith Tracheostomy is one of the most common procedures undertaken in critically ill patients. It offers many theoretical [...]

Published
2016

36. Optical coherence tomography (OCT) in unconscious and systemically unwell patients using a mobile OCT device: a pilot study

Author

Liu, Xiaoxuan, primary, Kale, Aditya Uday, additional, Capewell, Nicholas, additional, Talbot, Nicholas, additional, Ahmed, Sumiya, additional, Keane, Pearse A, additional, Mollan, Susan, additional, Belli, Antonio, additional, Blanch, Richard J, additional, Veenith, Tonny, additional, and Denniston, Alastair K, additional

Published
2019
Full Text
View/download PDF

37. Molecular mechanisms of traumatic brain injury: the missing link in management

Author

Burnstein Rowan M, Goon Serena SH, and Veenith Tonny

Subjects
Surgery, RD1-811, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

Abstract Head injury is common, sometimes requires intensive care unit admission, and is associated with significant mortality and morbidity. A gap still remains in the understanding of the molecular mechanism of this condition. This review is aimed at providing a general overview of the molecular mechanisms involved in traumatic brain injury to a busy clinician. It will encompass the pathophysiology in traumatic brain injury including apoptosis, the role of molecules and genes, and a brief mention of possible pharmacological therapies.

Published
2009
Full Text
View/download PDF

38. Ensemble learning for poor prognosis predictions: A case study on SARS-CoV-2.

Author

Wu, Honghan, Zhang, Huayu, Karwath, Andreas, Ibrahim, Zina, Shi, Ting, Zhang, Xin, Wang, Kun, Sun, Jiaxing, Dhaliwal, Kevin, Bean, Daniel, Cardoso, Victor Roth, Li, Kezhi, Teo, James T, Banerjee, Amitava, Gao-Smith, Fang, Whitehouse, Tony, Veenith, Tonny, Gkoutos, Georgios V, Wu, Xiaodong, and Dobson, Richard

Abstract

Objective: Risk prediction models are widely used to inform evidence-based clinical decision making. However, few models developed from single cohorts can perform consistently well at population level where diverse prognoses exist (such as the SARS-CoV-2 [severe acute respiratory syndrome coronavirus 2] pandemic). This study aims at tackling this challenge by synergizing prediction models from the literature using ensemble learning.Materials and Methods: In this study, we selected and reimplemented 7 prediction models for COVID-19 (coronavirus disease 2019) that were derived from diverse cohorts and used different implementation techniques. A novel ensemble learning framework was proposed to synergize them for realizing personalized predictions for individual patients. Four diverse international cohorts (2 from the United Kingdom and 2 from China; N = 5394) were used to validate all 8 models on discrimination, calibration, and clinical usefulness.Results: Results showed that individual prediction models could perform well on some cohorts while poorly on others. Conversely, the ensemble model achieved the best performances consistently on all metrics quantifying discrimination, calibration, and clinical usefulness. Performance disparities were observed in cohorts from the 2 countries: all models achieved better performances on the China cohorts.Discussion: When individual models were learned from complementary cohorts, the synergized model had the potential to achieve better performances than any individual model. Results indicate that blood parameters and physiological measurements might have better predictive powers when collected early, which remains to be confirmed by further studies.Conclusions: Combining a diverse set of individual prediction models, the ensemble method can synergize a robust and well-performing model by choosing the most competent ones for individual patients. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

39. Normobaric hyperoxia does not improve derangements in diffusion tensor imaging found distant from visible contusions following acute traumatic brain injury

Author

Veenith, Tonny V., Carter, Eleanor L., Grossac, Julia, Newcombe, Virginia F. J., Outtrim, Joanne G., Nallapareddy, Sri, Lupson, Victoria, Correia, Marta M., Mada, Marius M., Williams, Guy B., Menon, David K., Coles, Jonathan P., Newcombe, Virginia [0000-0001-6044-9035], Outtrim, Joanne [0000-0001-8118-6430], Morgado Correia, Marta [0000-0002-3231-7040], Mada, Marius [0000-0002-9903-3835], Williams, Guy [0000-0001-5223-6654], Menon, David [0000-0002-3228-9692], Coles, Jonathan [0000-0003-4013-679X], and Apollo - University of Cambridge Repository

Subjects
Adult, Male, lcsh:R, Oxygen Inhalation Therapy, lcsh:Medicine, Reproducibility of Results, Brain Contusion, Middle Aged, Article, Diffusion Tensor Imaging, nervous system, Brain Injuries, Humans, lcsh:Q, Female, lcsh:Science, Aged
Abstract

We have previously shown that normobaric hyperoxia may benefit peri-lesional brain and white matter following traumatic brain injury (TBI). This study examined the impact of brief exposure to hyperoxia using diffusion tensor imaging (DTI) to identify axonal injury distant from contusions. Fourteen patients with acute moderate/severe TBI underwent baseline DTI and following one hour of 80% oxygen. Thirty-two controls underwent DTI, with 6 undergoing imaging following graded exposure to oxygen. Visible lesions were excluded and data compared with controls. We used the 99% prediction interval (PI) for zero change from historical control reproducibility measurements to demonstrate significant change following hyperoxia. Following hyperoxia DTI was unchanged in controls. In patients following hyperoxia, mean diffusivity (MD) was unchanged despite baseline values lower than controls (p

Published
2017

40. Analgesia of Patients with Multiple Rib Fractures in Critical Care: A Survey of Healthcare Professionals in the UK.

Author

Beard, Laura, Holt, Billy, Snelson, Catherine, Parcha, Chetan, Fang Gao Smith, and Veenith, Tonny

Subjects
THERAPEUTIC use of narcotics, ANALGESIA, ANALGESICS, ATTITUDE (Psychology), CRITICAL care medicine, MEDICAL personnel, MEDICAL protocols, NERVE block, PATIENT-controlled analgesia, QUESTIONNAIRES, WOUNDS & injuries, PAIN management, DESCRIPTIVE statistics, EPIDURAL analgesia, RIB fractures
Abstract

Introduction: Good analgesia has been shown to reduce the risk of pneumonia, chronic pain, and mortality in patients with multiple rib fractures (MRFs). This survey explores the current analgesic practice in the UK, protocol use, barriers to provision, and physician preferences. Materials and methods: A web-based survey was distributed nationally to an enriched cohort of clinicians working in UK trauma units with an interest in MRF management. Results: Seventy-nine healthcare professionals responded. A third (31.4%) reported that their department had a rib fracture pain protocol, 52.9% did not, and 15.7% were unsure. Significantly more respondents reported adequate pain control when a hospital protocol was present compared to when not (χ², p < 0.01). Inadequate analgesia, a poor cough, and inability to breathe deeply were the commonest complications reported by 81.4, 78.6, and 65.7%, respectively. Patient-controlled analgesia (PCA) was the most commonly used form of analgesia (38.6%) followed by thoracic epidural (TEA) (30.0%) and continuous opioid infusion (18.6%). However, TEA was the preferred method of analgesia among respondents (37.1%) followed by serratus block (21.4%), paravertebral block (17.1%), and PCA (14.3%). Discussion: There is considerable variation among physicians in their current use of analgesic modalities, with opiate-based methods predominating despite a physician preference for regional techniques. Thoracic epidurals are preferred by physicians but of limited use as a result of contraindications, time pressures, and staff skill mix. Pain control is reported to be better handled when protocols are present. Further research focusing on currently utilized regional techniques is required in order to produce a validated standardized national protocol that is informed by the current practice, the evidence base, and limitations to service provision. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

41. A comparison of earlier and enhanced rehabilitation of mechanically ventilated patients in critical care compared to standard care (REHAB): study protocol for a single-site randomised controlled feasibility trial

Author

Snelson, Catherine, primary, Jones, Charlotte, additional, Atkins, Gemma, additional, Hodson, James, additional, Whitehouse, Tony, additional, Veenith, Tonny, additional, Thickett, David, additional, Reeves, Emma, additional, McLaughlin, Aisling, additional, Cooper, Lauren, additional, and McWilliams, David, additional

Published
2017
Full Text
View/download PDF

42. Optical coherence tomography (OCT) in unconscious and systemically unwell patients using a mobile OCT device: a pilot study.

Author

Xiaoxuan Liu, Kale, Aditya Uday, Capewell, Nicholas, Talbot, Nicholas, Ahmed, Sumiya, Keane, Pearse A., Mollan, Susan, Belli, Antonio, Blanch, Richard J., Veenith, Tonny, and Denniston, Alastair K.

Abstract

Objective This study aims to evaluate the feasibility of retinal imaging in critical care using a novel mobile optical coherence tomography (OCT) device. The Heidelberg SPECTRALIS FLEX module (Heidelberg Engineering, Heidelberg, Germany) is an OCT unit with a boom arm, enabling ocular OCT assessment in less mobile patients. Design We undertook an evaluation of the feasibility of using the SPECTRALIS FLEX for undertaking ocular OCT images in unconscious and critically ill patients. Setting This study was conducted in the critical care unit of a large tertiary referral unit in the United Kingdom. Participants 13 systemically unwell patients admitted to the critical care unit were purposively sampled to enable evaluation in patients with a range of clinical states. Outcome measures The primary outcome was the feasibility of acquiring clinically interpretable OCT scans on a consecutive series of patients. The standardised scanning protocol included macula-focused OCT, OCT optic nerve head (ONH), OCT angiography (OCTA) of the macula and ONH OCTA. Results OCT images from 13 patients were attempted. The success rates of each scan type are 84% for OCT macula, 76% for OCT ONH, 56% for OCTA macula and 36% for OCTA ONH. The overall mean success rate of scans per patient was 64% (95% CI 46% to 81%). Clinicians reported clinical value in 100% scans which were successfully obtained, including both ruling in and ruling out relevant ocular complications such as corneal thinning, macular oedema and optic disc swelling. The most common causes of failure to achieve clinically interpretable scans were inadequately sustained OCT alignment in delirious patients and a compromised ocular surface due to corneal exposure. Conclusions This prospective evaluation indicates the feasibility and potential clinical value of the SPECTRALIS FLEX OCT system on the critical care unit. Portable OCT systems have the potential to bring instrument-based ophthalmic assessment to critically ill patients, enabling detection and micron-level monitoring of ocular complications. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

43. Comparison of inter subject variability and reproducibility of whole brain proton spectroscopy

Author

Veenith, Tonny V, Mada, Marius, Carter, Eleanor, Grossac, Julia, Newcombe, Virginia, Outtrim, Joanne, Lupson, Victoria, Nallapareddy, Sridhar, Williams, Guy B, Sheriff, Sulaiman, Menon, David K, Maudsley, Andrew A, Coles, Jonathan P, Mada, Marius [0000-0002-9903-3835], Newcombe, Virginia [0000-0001-6044-9035], Outtrim, Joanne [0000-0001-8118-6430], Williams, Guy [0000-0001-5223-6654], Menon, David [0000-0002-3228-9692], Coles, Jonathan [0000-0003-4013-679X], and Apollo - University of Cambridge Repository

Subjects
Adult, Male, Critical Care and Emergency Medicine, Imaging Techniques, Proton Magnetic Resonance Spectroscopy, lcsh:Medicine, Neuroimaging, Research and Analysis Methods, Choline, Reference Values, Medicine and Health Sciences, Humans, Longitudinal Studies, lcsh:Science, Analysis of Variance, Aspartic Acid, Brain Mapping, Radiology and Imaging, lcsh:R, Brain, Reproducibility of Results, Middle Aged, Creatine, Healthy Volunteers, lcsh:Q, Female, Clinical Medicine, Follow-Up Studies, Research Article
Abstract

The aim of these studies was to provide reference data on intersubject variability and reproducibility of metabolite ratios for Choline/Creatine (Cho/Cr), N-acetyl aspartate/Choline (NAA/Cho) and N-acetyl aspartate/Creatine (NAA/Cr), and individual signal-intensity normalised metabolite concentrations of NAA, Cho and Cr. Healthy volunteers underwent imaging on two occasions using the same 3T Siemens Verio magnetic resonance scanner. At each session two identical Metabolic Imaging and Data Acquisition Software (MIDAS) sequences were obtained along with standard structural imaging. Metabolite maps were created and regions of interest applied in normalised space. The baseline data from all 32 volunteers were used to calculate the intersubject variability, while within session and between session reproducibility were calculated from all the available data. The reproducibility of measurements were used to calculate the overall and within session 95% prediction interval for zero change. The within and between session reproducibility data were lower than the values for intersubject variability, and were variable across the different brain regions. The within and between session reproducibility measurements were similar for Cho/Cr, NAA/Choline, Cho and Cr (11.8%, 11.4%, 14.3 and 10.6% vs. 11.9%, 11.4%, 13.5% and 10.5% respectively), but for NAA/Creatine and NAA between session reproducibility was lower (9.3% and 9.1% vs. 10.1% and 9.9%; p

Published
2014

Catalog

Books, media, physical & digital resources
See catalog results