Search

Your search keyword '"Cheung, Winston"' showing total 16 results
Start Over Author "Cheung, Winston" Publication Type Magazines
16 results on '"Cheung, Winston"'

1. People in intensive care with COVID‐19: demographic and clinical features during the first, second, and third pandemic waves in Australia

Author

Begum, Husna, Neto, Ary S, Alliegro, Patricia, Broadley, Tessa, Trapani, Tony, Campbell, Lewis T, Cheng, Allen C, Cheung, Winston, Cooper, D James, Erickson, Simon J, French, Craig J, Litton, Edward, McAllister, Richard, Nichol, Alistair, Palermo, Annamaria, Plummer, Mark P, Rotherham, Hannah, Ramanan, Mahesh, Reddi, Benjamin, Reynolds, Claire, Webb, Steven AR, Udy, Andrew A, and Burrell, Aidan

Abstract

To compare the demographic and clinical features, management, and outcomes for patients admitted with COVID‐19 to intensive care units (ICUs) during the first, second, and third waves of the pandemic in Australia. People aged 16 years or more admitted with polymerase chain reaction‐confirmed COVID‐19 to the 78 Australian ICUs participating in the Short Period Incidence Study of Severe Acute Respiratory Infection (SPRINT‐SARI) Australia project during the first (27 February – 30 June 2020), second (1 July 2020 – 25 June 2021), and third COVID‐19 waves (26 June – 1 November 2021). Primary outcome: in‐hospital mortality. Secondary outcomes: ICU mortality; ICU and hospital lengths of stay; supportive and disease‐specific therapies. 2493 people (1535 men, 62%) were admitted to 59 ICUs: 214 during the first (9%), 296 during the second (12%), and 1983 during the third wave (80%). The median age was 64 (IQR, 54–72) years during the first wave, 58 (IQR, 49–68) years during the second, and 54 (IQR, 41–65) years during the third. The proportion without co‐existing illnesses was largest during the third wave (41%; first wave, 32%; second wave, 29%). The proportion of ICU beds occupied by patients with COVID‐19 was 2.8% (95% CI, 2.7–2.9%) during the first, 4.6% (95% CI, 4.3–5.1%) during the second, and 19.1% (95% CI, 17.9–20.2%) during the third wave. Non‐invasive (42% v15%) and prone ventilation strategies (63% v15%) were used more frequently during the third wave than during the first two waves. Thirty patients (14%) died in hospital during the first wave, 35 (12%) during the second, and 281 (17%) during the third. After adjusting for age, illness severity, and other covariates, the risk of in‐hospital mortality was similar for the first and second waves, but 9.60 (95% CI, 3.52–16.7) percentage points higher during the third than the first wave. The demographic characteristics of patients in intensive care with COVID‐19 and the treatments they received during the third pandemic wave differed from those of the first two waves. Adjusted in‐hospital mortality was highest during the third wave.

Published
2022
Full Text
View/download PDF

2. Comparison of baseline characteristics, treatment and celinical outcomes of critically ill COVID-19 patients admitted in the first and second waves in Australia

Author

Burrell, Aidan J.C., Neto, Ary Serpa, Broadley, Tessa, Trapani, Tony, Begum, Husna, Campbell, Lewis T., Cheng, Allen C., Cheung, Winston, Cooper, D. James, Erickson, Simon J., French, Craig J., Kaldor, John M., Litton, Edward, Murthy, Srinivas, McAllister, Richard E., Nichol, Alistair D., Palermo, Annamaria, Plummer, Mark P., Ramanan, Mahesh, Reddi, Benjamin A.J., Reynolds, Claire, Webb, Steve A., and Udy, Andrew A.

Abstract

Objective:To report longitudinal differences in baseline characteristics, treatment, and outcomes in patients with coronavirus disease 2019 (COVID-19) admitted to intensive care units (ICUs) between the first and second waves of COVID-19 in Australia.

Published
2021
Full Text
View/download PDF

3. Outcomes for patients with COVID‐19 admitted to Australian intensive care units during the first four months of the pandemic

Author

Burrell, Aidan JC, Pellegrini, Breanna, Salimi, Farhad, Begum, Husna, Broadley, Tessa, Campbell, Lewis T, Cheng, Allen C, Cheung, Winston, Cooper, D James, Earnest, Arul, Erickson, Simon J, French, Craig J, Kaldor, John M, Litton, Edward, Murthy, Srinivas, McAllister, Richard E, Nichol, Alistair D, Palermo, Annamaria, Plummer, Mark P, Ramanan, Mahesh, Reddi, Benjamin AJ, Reynolds, Claire, Trapani, Tony, Webb, Steve A, and Udy, Andrew A

Abstract

To describe the characteristics and outcomes of patients with COVID‐19 admitted to intensive care units (ICUs) during the initial months of the pandemic in Australia. Prospective, observational cohort study in 77 ICUs across Australia. Patients admitted to participating ICUs with laboratory‐confirmed COVID‐19 during 27 February – 30 June 2020. ICU mortality and resource use (ICU length of stay, peak bed occupancy). The median age of the 204 patients with COVID‐19 admitted to intensive care was 63.5 years (IQR, 53–72 years); 140 were men (69%). The most frequent comorbid conditions were obesity (40% of patients), diabetes (28%), hypertension treated with angiotensin‐converting enzyme inhibitors or angiotensin II receptor blockers (24%), and chronic cardiac disease (20%); 73 patients (36%) reported no comorbidity. The most frequent source of infection was overseas travel (114 patients, 56%). Median peak ICU bed occupancy was 14% (IQR, 9–16%). Invasive ventilation was provided for 119 patients (58%). Median length of ICU stay was greater for invasively ventilated patients than for non‐ventilated patients (16 days; IQR, 9–28 days v3 days; IQR, 2–5 days), as was ICU mortality (26 deaths, 22%; 95% CI, 15–31% vfour deaths, 5%; 95% CI, 1–12%). Higher Acute Physiology and Chronic Health Evaluation II (APACHE‐II) scores on ICU day 1 (adjusted hazard ratio [aHR], 1.15; 95% CI, 1.09–1.21) and chronic cardiac disease (aHR, 3.38; 95% CI, 1.46–7.83) were each associated with higher ICU mortality. Until the end of June 2020, mortality among patients with COVID‐19 who required invasive ventilation in Australian ICUs was lower and their ICU stay longer than reported overseas. Our findings highlight the importance of ensuring adequate local ICU capacity, particularly as the pandemic has not yet ended.

Published
2021
Full Text
View/download PDF

4. ANZICS guiding principles for complex decision making during the COVID-19 pandemic

Author

Warrillow, Stephen, Austin, Danielle, Cheung, Winston, Close, Eliana, Holley, Anthony, Horgan, Ben, Jansen, Melanie, Joynt, Gavin, Lister, Paula, Moodie, Stewart, Nichol, Alistair, Nicholls, Mark, Peake, Sandra, Skowronski, George, Streat, Stephen, White, Ben, and Willmott, Lindy

Abstract

The global 2019 coronavirus disease (COVID-19) pandemic has led to major challenges in clinical decision making when the demand for intensive care exceeds local capacity. In order to promote consistent, transparent, objective and ethical decision making, the Australian and New Zealand Intensive Care Society (ANZICS) formed a committee to urgently develop guidelines outlining key principles that should be utilised during the pandemic. This guidance is intended to support the practice of intensive care specialists during the COVID-19 pandemic and to promote the development of local admission policies that should be endorsed by health care organisations and relevant local authorities.

Published
2020
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 Jr., 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. Direct laryngoscopy to predict extubation success following a failed cuff leak test in intensive care patients

Author

Stannus, Jack, Cheung, Winston, Kol, Mark, Cross, Rosalba, Shah, Asim, Wagh, Atul, Clayton, Nicola, and Wong, Helen

Abstract

•Performing direct laryngoscopy in the Intensive Care Unit for patients who failed an endotracheal cuff leak test may allow some of these patients to be extubated immediately and successfully.•This extubation process may mitigate many hours of unnecessary invasive ventilation.•Direct laryngoscopy in ICU patients who fail an endotracheal cuff leak test may allow immediate and successful extubation.•Current guideline recommendations for corticosteroid administration in patients who fail a cuff leak test may be inordinate.

Published
2019
Full Text
View/download PDF

7. A cross-sectional survey of Australian and New Zealand public opinion on methods to triage intensive care patients in an influenza pandemic

Author

Cheung, Winston, Myburgh, John, McGuinness, Shay, Chalmers, Debra, Parke, Rachael, Blyth, Fiona, Seppelt, Ian, Parr, Michael, Hooker, Claire, Blackwell, Nikki, DeMonte, Shannon, Gandhi, Kalpesh, Kol, Mark, Kerridge, Ian, Nair, Priya, Saunders, Nicholas M., Saxena, Manoj K., Thanakrishnan, Govindasamy, and Naganathan, Vasi

Abstract

Background and objective:An influenza pandemic has the potential to overwhelm intensive care resources, but the views of the general public on how resources should be allocated in such a scenario were unknown. We aimed to determine Australian and New Zealand public opinion on how intensive care unit beds should be allocated during an influenza pandemic.

Published
2017
Full Text
View/download PDF

8. CandidaColonization as a Risk Marker for Invasive Candidiasis in Mixed Medical-Surgical Intensive Care Units: Development and Evaluation of a Simple, Standard Protocol

Author

Lau, Anna F., Kabir, Masrura, Chen, Sharon C.-A., Playford, E. Geoffrey, Marriott, Deborah J., Jones, Michael, Lipman, Jeffrey, McBryde, Emma, Gottlieb, Thomas, Cheung, Winston, Seppelt, Ian, Iredell, Jonathan, and Sorrell, Tania C.

Abstract

ABSTRACTColonization with Candidaspecies is an independent risk factor for invasive candidiasis (IC), but the minimum and most practicable parameters for prediction of IC have not been optimized. We evaluated Candidacolonization in a prospective cohort of 6,015 nonneutropenic, critically ill patients. Throat, perineum, and urine were sampled 72 h post-intensive care unit (ICU) admission and twice weekly until discharge or death. Specimens were cultured onto chromogenic agar, and a subset underwent molecular characterization. Sixty-three (86%) patients who developed IC were colonized prior to infection; 61 (97%) tested positive within the first two time points. The median time from colonization to IC was 7 days (range, 0 to 35). Colonization at any site was predictive of IC, with the risk of infection highest for urine colonization (relative risk [RR] = 2.25) but with the sensitivity highest (98%) for throat and/or perineum colonization. Colonization of =2 sites and heavy colonization of =1 site were significant independent risk factors for IC (RR = 2.25 and RR = 3.7, respectively), increasing specificity to 71% to 74% but decreasing sensitivity to 48% to 58%. Molecular testing would have prompted a resistance-driven decision to switch from fluconazole treatment in only 11% of patients infected with C. glabrata, based upon species-level identification alone. Positive predictive values (PPVs) were low (2% to 4%) and negative predictive values (NPVs) high (99% to 100%) regardless of which parameters were applied. In the Australian ICU setting, culture of throat and perineum within the first two time points after ICU admission captures 84% (61/73 patients) of subsequent IC cases. These optimized parameters, in combination with clinical risk factors, should strengthen development of a setting-specific risk-predictive model for IC.

Published
2015
Full Text
View/download PDF

9. A comparison of survival following out-of-hospital cardiac arrest in Sydney, Australia, between 2004–2005 and 2009–2010

Author

Cheung, Winston, Middleton, Paul, Davies, Suzanne, Tummala, Srikanth, Thanakrishnan, Govindasamy, and Gullick, Janice

Abstract

Objective:To determine whether survival following outof- hospital cardiac arrest (OHCA) in Sydney, Australia, improved between 2004–2005 and 2009–2010, and whether there was a change in incidence of OHCA.

Published
2013
Full Text
View/download PDF

10. Development and evaluation of an influenza pandemic intensive care unit triage protocol

Author

Cheung, Winston, Myburgh, John, Seppelt, Ian M, Parr, Michael J, Blackwell, Nikki, DeMonte, Shannon, Gandhi, Kalpesh, Hoyling, Larissa, Nair, Priya, Reynolds, Claire, Passer, Melissa, Saunders, Nicholas M, Saxena, Manoj K, and Thanakrishnan, Govindasamy

Abstract

Objectives:To develop an influenza pandemic ICU triage (iPIT) protocol that excludes patients with the highest and lowest predicted mortality rates, and to determine the increase in ICU bed availability that would result.

Published
2012
Full Text
View/download PDF

11. Palliative care teams in the intensive care unit: a randomised, controlled, feasibility study

Author

Cheung, Winston, Aggarwal, Ghauri, Fugaccia, Elizabeth, Thanakrishnan, Govindasamy, Milliss, David, Anderson, Rachel, Stock, David, Bird, Helen, Tan, Jeff, and Fryc, Amelia C

Abstract

Objectives:To determine whether palliative care teams can improve patient, family and staff satisfaction for patients receiving end-of-life care in the intensive care unit and reduce surrogate markers of health care costs.

Published
2010
Full Text
View/download PDF

13. Operator anaesthesiology training and complications after endotracheal intubation in the intensive care unit: a 3-year, prospective, observational study

Author

Cheung, Winston, Fugaccia, Elizabeth, Milliss, David, and Thanakrishnan, Govindasamy

Abstract

Objective: To determine whether operators with less than 3 months’ formal anaesthesiology training have higher rates of complications when performing endotracheal intubation (ETI) in the intensive care unit than operators with longer formal anaesthesiology training.

Published
2009
Full Text
View/download PDF

14. Diabetes mellitus, glycaemic control and severe COVID-19 in the Australian Critical Care Setting – a nested cohort study

Author

Plummer, Mark P., Rait, Louise, Finnis, Mark E., French, Craig J., Bates CCRN, Samantha, Douglas, James, Bhurani, Mansi, Broadley, Tessa, Trapani, Tony, Deane, Adam M., Udy, Andrew A., Burrell, Aidan JC., Burrell, Aidan, Cheng, Allen, Udy, Andrew, Palermo, Annamaria, Reddi, Benjamin, Reynolds, Claire, French, Craig, Cooper, D James, Litton, Edward, Begum, Husna, Campbell, Lewis, Ramanan, Mahesh, Plummer, Mark, McAllister, Richard, Erickson, Simon, Broadley, Tessa, Trapani, Tony, Cheung, Winston, SPRINT-SARI Australia Investigators, The, Visser, Adam, Mattke, Adrian, Regli, Adrian, Rashid, Alan, Tabah, Alexis, Walker, Alison, Cheng, Allen, Corley, Amanda, Udy, Andrew, Ramnani, Anil, Eidan, Anthony, DeKeulenaer, Bart, Reddi, Benjamin, Richards, Brent, Knott, Cameron, Moore, Cara, Delzoppo, Carmel, Boschert, Catherine, Tacon, Catherine, French, Craig, Austin, Danielle, Brewster, David, Cooper, David, Crosbie, David, Hawkins, David, Jessen, Edda, Martinez, Eduardo, Fysh, Edward, Litton, Edward, Oberender, Felix, McGain, Forbes, Salt, Gavin, Eastwood, Glenn, Taori, Gopal, White, Hayden, Buscher, Hergen, Seppelt, Ian, Leditschke, Isabel Anne, Young, Janelle, Lavana, Jayshree, Cohen, Jeremy, Lugsdin, Jessica, Botha, John, Santamaria, John, Barrett, Jonathan, Singh, Kasha, Laupland, Kevin, El-Khawas, Khaled, Estensen, Kristine, Deshpande, Kush, White, Kyle, Fitzpatrick, Leigh, Campbell, Lewis, Ramanan, Mahesh, Saxena, Manoj, Kainer, Marion, Kol, Mark, Page, Mark, Plummer, Mark, Sterba, Martin, Anstey, Matthew, Brain, Matthew, Maiden, Matthew, Kilminster, Myrene, Hammond, Naomi, Bhadange, Neeraj, Humphreys, Nicole, Jain, Paras, Azzi, Paul, Secombe, Paul, Lister, Paula, Chan, Peter, McCanny, Peter, Britton, Phillip, Janin, Pierre, Krishnamurthy, Ravi, Sonawane, Ravikiran, Tiruvoipati, Ravindranath, Totaro, Richard, Bellomo, Rinaldo, Sanghavi, Ritesh, Bates, Samantha, Peake, Sandra, Bihari, Shailesh, George, Shane, Erickson, Simon, Webb, Steve, Arora, Subhash, Ganu, Subodh, Rozen, Thomas, McKenna, Toni, Kadam, Umesh, Nayyar, Vineet, Choy, Wei Han, Albassam, Wisam, sites, Data entry at the nested cohort, Morgan, Rebecca, Prasad, Lalita, Carstens, Laloma, Bates, Samantha, Rait, Louise, and Bhurani, Mansi

Abstract

Internationally, diabetes mellitus is recognized as a risk factor for severe COVID-19. The relationship between diabetes mellitus and severe COVID-19 has not been reported in the Australian population.

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results