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324 results on '"Whiteley, William N."'

1. Automated neuroradiological support systems for multiple cerebrovascular disease markers -- A systematic review and meta-analysis

Author

Phitidis, Jesse, O'Neil, Alison Q., Whiteley, William N., Alex, Beatrice, Wardlaw, Joanna M., Bernabeu, Miguel O., and Hernández, Maria Valdés

Subjects
Physics - Medical Physics, Computer Science - Artificial Intelligence, A.1, J.3
Abstract

Cerebrovascular diseases (CVD) can lead to stroke and dementia. Stroke is the second leading cause of death world wide and dementia incidence is increasing by the year. There are several markers of CVD that are visible on brain imaging, including: white matter hyperintensities (WMH), acute and chronic ischaemic stroke lesions (ISL), lacunes, enlarged perivascular spaces (PVS), acute and chronic haemorrhagic lesions, and cerebral microbleeds (CMB). Brain atrophy also occurs in CVD. These markers are important for patient management and intervention, since they indicate elevated risk of future stroke and dementia. We systematically reviewed automated systems designed to support radiologists reporting on these CVD imaging findings. We considered commercially available software and research publications which identify at least two CVD markers. In total, we included 29 commercial products and 13 research publications. Two distinct types of commercial support system were available: those which identify acute stroke lesions (haemorrhagic and ischaemic) from computed tomography (CT) scans, mainly for the purpose of patient triage; and those which measure WMH and atrophy regionally and longitudinally. In research, WMH and ISL were the markers most frequently analysed together, from magnetic resonance imaging (MRI) scans; lacunes and PVS were each targeted only twice and CMB only once. For stroke, commercially available systems largely support the emergency setting, whilst research systems consider also follow-up and routine scans. The systems to quantify WMH and atrophy are focused on neurodegenerative disease support, where these CVD markers are also of significance. There are currently no openly validated systems, commercially, or in research, performing a comprehensive joint analysis of all CVD markers (WMH, ISL, lacunes, PVS, haemorrhagic lesions, CMB, and atrophy)., Comment: 62 pages, 10 figures

Published
2024

4. Impact of vaccination on the association of COVID-19 with cardiovascular diseases: An OpenSAFELY cohort study

Author

Cezard, Genevieve I., Denholm, Rachel E., Knight, Rochelle, Wei, Yinghui, Teece, Lucy, Toms, Renin, Forbes, Harriet J., Walker, Alex J., Fisher, Louis, Massey, Jon, Hopcroft, Lisa E. M., Horne, Elsie M. F., Taylor, Kurt, Palmer, Tom, Arab, Marwa Al, Cuitun Coronado, Jose Ignacio, Ip, Samantha H. Y., Davy, Simon, Dillingham, Iain, Bacon, Sebastian, Mehrkar, Amir, Morton, Caroline E., Greaves, Felix, Hyams, Catherine, Davey Smith, George, Macleod, John, Chaturvedi, Nishi, Goldacre, Ben, Whiteley, William N., Wood, Angela M., Sterne, Jonathan A. C., and Walker, Venexia

Published
2024
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5. Confounder-Aware Image Synthesis for Pathology Segmentation in New Magnetic Resonance Imaging Sequences

Author

Phitidis, Jesse, Kascenas, Antanas, Hernández, Maria Valdés, Whiteley, William N., Wardlaw, Joanna M., O’Neil, Alison Q., Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Yap, Moi Hoon, editor, Kendrick, Connah, editor, Behera, Ardhendu, editor, Cootes, Timothy, editor, and Zwiggelaar, Reyer, editor

Published
2024
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9. COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

Author

Abbasizanjani, Hoda, Ahmed, Nida, Ahmed, Badar, Akbari, Ashley, Akinoso-Imran, Abdul Qadr, Allara, Elias, Allery, Freya, Angelantonio, Emanuele Di, Ashworth, Mark, Ayyar-Gupta, Vandana, Babu-Narayan, Sonya, Bacon, Seb, Ball, Steve, Banerjee, Ami, Barber, Mark, Barrett, Jessica, Bennie, Marion, Berry, Colin, Beveridge, Jennifer, Birney, Ewan, Bojanić, Lana, Bolton, Thomas, Bone, Anna, Boyle, Jon, Braithwaite, Tasanee, Bray, Ben, Briffa, Norman, Brind, David, Brown, Katherine, Buch, Maya, Canoy, Dexter, Caputo, Massimo, Carragher, Raymond, Carson, Alan, Cezard, Genevieve, Chang, Jen-Yu Amy, Cheema, Kate, Chin, Richard, Chudasama, Yogini, Cooper, Jennifer, Copland, Emma, Crallan, Rebecca, Cripps, Rachel, Cromwell, David, Curcin, Vasa, Curry, Gwenetta, Dale, Caroline, Danesh, John, Das-Munshi, Jayati, Dashtban, Ashkan, Davies, Alun, Davies, Joanna, Davies, Gareth, Davies, Neil, Day, Joshua, Delmestri, Antonella, Denaxas, Spiros, Denholm, Rachel, Dennis, John, Denniston, Alastair, Deo, Salil, Dhillon, Baljean, Docherty, Annemarie, Dong, Tim, Douiri, Abdel, Downs, Johnny, Dregan, Alexandru, Ellins, Elizabeth A, Elwenspoek, Martha, Falck, Fabian, Falter, Florian, Fan, Yat Yi, Firth, Joseph, Fraser, Lorna, Friebel, Rocco, Gavrieli, Amir, Gerstung, Moritz, Gilbert, Ruth, Gillies, Clare, Glickman, Myer, Goldacre, Ben, Goldacre, Raph, Greaves, Felix, Green, Mark, Grieco, Luca, Griffiths, Rowena, Gurdasani, Deepti, Halcox, Julian, Hall, Nick, Hama, Tuankasfee, Handy, Alex, Hansell, Anna, Hardelid, Pia, Hardy, Flavien, Harris, Daniel, Harrison, Camille, Harron, Katie, Hassaine, Abdelaali, Hassan, Lamiece, Healey, Russell, Hemingway, Harry, Henderson, Angela, Herz, Naomi, Heyl, Johannes, Hidajat, Mira, Higginson, Irene, Hinchliffe, Rosie, Hippisley-Cox, Julia, Ho, Frederick, Hocaoglu, Mevhibe, Hollings, Sam, Horne, Elsie, Hughes, David, Humberstone, Ben, Inouye, Mike, Ip, Samantha, Islam, Nazrul, Jackson, Caroline, Jenkins, David, Jiang, Xiyun, Johnson, Shane, Kadam, Umesh, Kallis, Costas, Karim, Zainab, Kasan, Jake, Katsoulis, Michalis, Kavanagh, Kim, Kee, Frank, Keene, Spencer, Kent, Seamus, Khalid, Sara, Khawaja, Anthony, Khunti, Kamlesh, Killick, Richard, Kinnear, Deborah, Knight, Rochelle, Kolamunnage-Dona, Ruwanthi, Kontopantelis, Evan, Kurdi, Amanj, Lacey, Ben, Lai, Alvina, Lambarth, Andrew, Larzjan, Milad Nazarzadeh, Lawler, Deborah, Lawrence, Thomas, Lawson, Claire, Li, Qiuju, Li, Ken, Llinares, Miguel Bernabeu, Lorgelly, Paula, Lowe, Deborah, Lyons, Jane, Lyons, Ronan, Machado, Pedro, Macleod, Mary Joan, Macleod, John, Malgapo, Evaleen, Mamas, Mamas, Mamouei, Mohammad, Manohar, Sinduja, Mapeta, Rutendo, Martelli, Javiera Leniz, Martos, David Moreno, Mateen, Bilal, McCarthy, Aoife, Melville, Craig, Milton, Rebecca, Mizani, Mehrdad, Moncusi, Marta Pineda, Morales, Daniel, Mordi, Ify, Morrice, Lynn, Morris, Carole, Morris, Eva, Mu, Yi, Mueller, Tanja, Murdock, Lars, Nafilyan, Vahé, Nicholson, George, Nikiphorou, Elena, Nolan, John, Norris, Tom, Norris, Ruth, North, Laura, North, Teri-Louise, O'Connell, Dan, Oliver, Dominic, Oluyase, Adejoke, Olvera-Barrios, Abraham, Omigie, Efosa, Onida, Sarah, Padmanabhan, Sandosh, Palmer, Tom, Pasea, Laura, Patel, Riyaz, Payne, Rupert, Pell, Jill, Petitjean, Carmen, Pherwani, Arun, Pickrell, Owen, Pierotti, Livia, Pirmohamed, Munir, Priedon, Rouven, Prieto-Alhambra, Dani, Proudfoot, Alastair, Quinn, Terry, Quint, Jennifer, Raffetti, Elena, Rahimi, Kazem, Rao, Shishir, Razieh, Cameron, Roberts, Brian, Rogers, Caroline, Rossdale, Jennifer, Salim, Safa, Samani, Nilesh, Sattar, Naveed, Schnier, Christian, Schwartz, Roy, Selby, David, Seminog, Olena, Shabnam, Sharmin, Shah, Ajay, Shelton, Jon, Sheppard, James, Sinha, Shubhra, Skrypak, Mirek, Slapkova, Martina, Sleeman, Katherine, Smith, Craig, Sofat, Reecha, Sosenko, Filip, Sperrin, Matthew, Steeg, Sarah, Sterne, Jonathan, Stoica, Serban, Sudell, Maria, Sudlow, Cathie, Sun, Luanluan, Suseeladevi, Arun Karthikeyan, Sweeting, Michael, Sydes, Matt, Takhar, Rohan, Tang, Howard, Thygesen, Johan, Tilston, George, Tochel, Claire, Toit, Clea du, Tomlinson, Christopher, Toms, Renin, Torabi, Fatemeh, Torralbo, Ana, Townson, Julia, Tufail, Adnan, Tungamirai, Tapiwa, Varma, Susheel, Vollmer, Sebastian, Walker, Venexia, Wang, Tianxiao, Wang, Huan, Warwick, Alasdair, Watkinson, Ruth, Watson, Harry, Whiteley, William, Whittaker, Hannah, Wilde, Harry, Wilkinson, Tim, Williams, Gareth, Williams, Michelle, Williams, Richard, Withnell, Eloise, Wolfe, Charles, Wood, Angela, Wright, Lucy, Wu, Honghan, Wu, Jinge, Wu, Jianhua, Yates, Tom, Zaccardi, Francesco, Zhang, Haoting, Zhang, Huayu, Zuccolo, Luisa, Thygesen, Johan H, Mizani, Mehrdad A, Banerjee, Amitava, Lai, Alvina G, Li, Kezhi, Mateen, Bilal A, Sterne, Jonathan A C, Pagel, Christina, and Whiteley, William N

Published
2022
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10. Thoracic Aortic 18F-Sodium Fluoride Activity and Ischemic Stroke in Patients With Established Cardiovascular Disease

Author

Fletcher, Alexander J., Tew, Yong Y., Tzolos, Evangelos, Joshi, Shruti S., Kaczynski, Jakub, Nash, Jennifer, Debono, Samuel, Lembo, Maria, Kwiecinski, Jacek, Bing, Rong, Syed, Maaz B.J., Doris, Mhairi K., van Beek, Edwin J.R., Moss, Alistair J., Jenkins, William S., Walker, Niki L., Joshi, Nikhil V., Pawade, Tania A., Adamson, Philip D., Whiteley, William N., Wardlaw, Joanna M., Slomka, Piotr J., Williams, Michelle C., Newby, David E., and Dweck, Marc R.

Published
2022
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13. Biomarkers to improve functional outcome prediction after ischemic stroke: Results from the SICFAIL, STRAWINSKI, and PREDICT studies

Author

Montellano, Felipe A, primary, Rücker, Viktoria, additional, Ungethüm, Kathrin, additional, Penalba, Anna, additional, Hotter, Benjamin, additional, Giralt, Marina, additional, Wiedmann, Silke, additional, Mackenrodt, Daniel, additional, Morbach, Caroline, additional, Frantz, Stefan, additional, Störk, Stefan, additional, Whiteley, William N, additional, Kleinschnitz, Christoph, additional, Meisel, Andreas, additional, Montaner, Joan, additional, Haeusler, Karl Georg, additional, and Heuschmann, Peter U, additional

Published
2024
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15. Cognitive performance following stroke, transient ischaemic attack, myocardial infarction, and hospitalisation: an individual participant data meta-analysis of six randomised controlled trials

Author

Sherlock, Laura, primary, Lee, Shun Fu, additional, Katsanos, Aristeidis H, additional, Cukierman-Yaffe, Tali, additional, Canavan, Michelle, additional, Joundi, Raed, additional, Sharma, Mukul, additional, Shoamanesh, Ashkan, additional, Brayne, Carol, additional, Gerstein, Hertzel C, additional, O’Donnell, Martin J, additional, Muniz-Terrera, Graciela, additional, Yusuf, Salim, additional, Bosch, Jackie, additional, and Whiteley, William N, additional

Published
2023
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16. Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Author

Baigent, Colin, Lasserson, Daniel, Sullivan, Frank, Carrie, Johanna, Rojas, Javier, Amoils, Shannon, Bamford, John, Armitage, Jane, Rinkel, Gabriel, Lowe, Gordon, Emberson, Jonathan, Innes, Karen, Dinsmore, Lynn, Drever, Jonathan, Williams, Carol, Perry, David, McGill, Connor, Buchanan, David, Walker, Allan, Hutchison, Aidan, Matthews, Christopher, Fraser, Ruth, McGrath, Aileen, Deary, Ann, Anderson, Rosemary, Walker, Pauli, Hansen, Christian, Parker, Richard, Rodriguez, Aryelly, Macleod, Malcolm, Gattringer, Thomas, Palmer, Jeb, Sakka, Eleni, Adil-Smith, Jennifer, Minks, David, Mitra, Dipayan, Bhatnagar, Priya, du Plessis, Johannes, Joshi, Yogish, Lerpiniere, Christine, O'Brien, Richard, Burgess, Seona, Mead, Gillian, Paulton, Ruth, Doubal, Fergus, McCormick, Katrina, Hunter, Neil, Taylor, Pat, Parakramawansha, Ruwan, Perry, Jack, Blair, Gordon, MacRaild, Allan, Parry-Jones, Adrian, Johnes, Mary, Lee, Stephanie, Shaw, Kelly Marie, Burger, Ilse, Punter, Martin, Ingham, Andrea, Perez, Jane, Naing, Zin, Morell, Jordi, Marsden, Tracy, Hall, Andrea, Marshall, Sally, Harrison, Louise, Jarapa, Rowilson, Wood, Edith, O'Loughlin, Victoria, Cohen, David, Davies, Silvie, Njoku, Kelechi, Mpelembue, Mushiya, Burgess, Laura, Licenik, Radim, Ngwako, Mmua, Nisar, Nabeela, Niranchanan, Rangah, Roganova, Tatjana, Bathula, Rajaram, Devine, Joseph, David, Anette, Oshodi, Anne, Guo, Fenglin, Owoyele, Emmanuelle, Sukdeo, Varthi, Ballantine, Robert, Abbdul-saheb, Mudhar, Chamberlain, Angela, Chandrakumar, Aberami, Poku, Philip, Harkness, Kirsty, Blank, Catrin, Richards, Emma, Ali, Ali, Kibutu, Faith, Balitska, Olesia, Birchall, Kathryn, Bayliss, Pauline, Doyle, Clare, Stocks, Kathy, Majis, Arshad, Howe, Jo, Kamara, Christine, Barron, Luke, Maatouk, Ahmad, Lindert, Ralf, Dakin, Katy, Redgrave, Jessica, Bhaskaran, Biju, Salih, Isam, Kelly, Debs, Szabo, Susan, Tomlin, Dawn, Bearne, Helen, Buxton, Jean, Fitzell, Pauline, Ayres, Georgina, Saulat, Afaq, Horan, Kathleen, Garfield-Smith, Joanne, Bhakri, Harbens, Guyler, Paul, Sinha, Devesh, Loganathan, Thayalini, Siddiqui, Amber, Siddiqui, Anwer, Coward, Lucy, Kunhunny, Swapna, Tysoe, Sharon, Orath Prabakaran, Rajalakshmi, Kelavkar, Shyam, Rashmi, Sindhu, Ngo, David, Ng, Kheng Xiong, Menon, Nisha, Shah, Sweni, Barber, Mark, Esson, Derek, Brodie, Fiona, Anjum, Talat, Wani, Mushtaq, Krishnan, Manju, Quinn, Leanne, Spencer, Jayne, Jones, Terry, Thompson-Jones, Helen, Dacey, Lynne, Chenna, Srikanth, Storton, Sharon, Thomas, Sarah, Beaty, Teresa, Treadwell, Shelley, Davies, Caroline, Tucker, Susan, Connor, Lynda, Slade, Peter, Gainard, Glyn, Muddegowda, Girish, Sanyal, Ranjan, Remegoso, Alda, Abano, Nenette, Causley, Chelsea, Carpio, Racquel, Stevens, Stephanie, Butler, Adrian, Varquez, Resti, Denic, Hayley, Alipio, Francis, Moores, Andrew, Barry, Adrian, Maguire, Holly, Grocott, Jeanette, Finney, Kay, Lyjko, Sue, Roffe, Christine, Hiden, Joanne, Ferdinand, Phillip, Cvoro, Vera, Ullah, Khalil, Chapman, Nicola, Couser, Mandy, Pound, Susan, Mcauley, Sean, Raghunathan, Senthil, Shelton, Faye, Hedstrom, Amanda, Godfrey, Margi, Havard, Diane, Buck, Amanda, Krishnan, Kailash, Gilzeane, Nicola, Roffe, Jack, Clarke, Judith, Whittamore, Katherine, Sheikh, Saima, Sprigg, Nikola, Keshvara, Rekha, Jordan, Carla, Jackson, Benjamin, Wilkes, Gwendoline, Appleton, Jason, Law, Zhe, Matias, Oliver, Vasileiadis, Evangelos, Mason, Cathy, Parry, Anthea, Landers, Geraldine, Holden, Melinda, Aweid, Basaam, Rashed, Khalid, Balian, Linda, Vickers, Carinna, Keeling, Elizabeth, Board, Sarah, Allison, Joanna, Buckley, Clare, Williams-Yesson, Barbara, Board, Joanne, Pitt-Kerby, Tressy, Tanate, Alfonso, Wood, Diane, Kini, Manohar, Chadha, Dinesh, Walstow, Deborah, Fong, Rosanna, Luder, Robert, Adesina, Tolu, Gallagher, Jill, Bridger, Hayley, Murali, Elodie, Bhargava, Maneesh, van Someren, Chloe, Harrington, Frances, Mate, Abhijit, James, Ali, Courtauld, Gillian, Schofield, Christine, Adie, Katja, Lucas, Linda, Bond, Kirsty, Maund, Bev, Ellis, Sam, Mudd, Paul, James, Martin, Keenan, Samantha, Bowring, Angela, Cageao, Julie, Kingwell, Hayley, Roughan, Caroline, Hemsley, Anthony, Sword, Jane, Strain, David, Miller, Keniesha, Goff, Anita, Gupwell, Karin, Thorpe, Kevin, Emsley, Hedley, Punekar, Shuja, McLoughlin, Alison, Sultan, Sulaiman, Gregory, Bindu, Raj, Sonia, Doyle, Donna, Muir, Keith, Smith, Wilma, Welch, Angela, Moreton, Fiona, Cheripelli, Bharath Kumar, El Tawil, Salwa, Kalladka, Dheeraj, Huang, Xuya, Day, Nicola, Ramachandran, Sankaranarayanan, Crosbie, Caroline, Elliot, Jennifer, Rudd, Tony, Marks, Katherine, Bhalla, Ajay, Birns, Jonathan, Kullane, Sagal, Weir, Nic, Allen, Christopher, Pressly, Vanessa, Crawford, Pam, Battersby-Wood, Emma, Blades, Alex, Egerton, Shuna, Walters, Ashleigh, Evans, Sue, Marigold, James Richard, Smith, Fiona, Howard, Gabriella, Gartrell, Imogen, Smith, Simon, Creeden, Robyn, Cox, Chloe, Boxall, Cherish, Hewitt, Jonathan, Nott, Claire, Sarah, Procter, Whiteman, Jessica, Buckle, Steve, Wallace, Rebecca, Mardania, Rina, Gray, Jane, Triscott, Claire, Nair, Anand, Greig, Jill, Rana, Pratap, Robinson, Matthew, Alam, Mohammad Irfan, Werring, David, Wilson, Duncan, Watchurst, Caroline, Brezitski, Maria, Crook, Luci, Jones, Ifan, Banaras, Azra, Patel, Krishna, Erande, Renuka, Hogan, Caroline, Hostettler, Isabel, Ashton, Amy, Feerick, Shez, Francia, Nina, Oji, Nnebuife, Elliott, Emma, Al-Mayhani, Talal, Dennis, Martin, Sudlow, Cathie, Whiteley, William, Al-Shahi Salman, Rustam, Dutta, Dipankar, Brown, Pauline, Ward, Deborah, Davis, Fiona, Turfrey, Jennifer, Hughes, Chloe, Collins, Kayleigh, Bakawala, Rehana, O'Connell, Susan, Glass, Jon, Broughton, David, Tryambake, Dinesh, Dixon, Lynn, Chapman, Kath, Young, Andrew, Bergin, Adrian, Sigsworth, Andrew, Manoj, Aravind, Fletcher, Glyn, Lopez, Paula, Cox, Penelope, Wilkinson, Mark, Fitzsimmons, Paul, Sharma, Nikhil, Choulerton, James, Button, Denise, Dow, Lindsey, Gbadamoshi, Lukuman, Avis, Joanne, Madigan, Barbara, McCann, Stephanie, Shaw, Louise, Howcroft, Deborah, Lucas, Suzanne, Stone, Andrew, Cluckie, Gillian, Lovelock, Caroline, Clarke, Brian, Chopra, Neha, Clarke, Natasha, Patel, Bhavini, Kennedy, Kate, Williams, Rebecca, Blight, Adrian, O'Reilly, Joanna, Orefo, Chukwuka, Dayal, Nilofer, Ghatala, Rita, Adedoyin, Temi, Watson, Fran, Trippier, Sarah, Choy, Lillian, Moynihan, Barry, Khan, Usman, Jones, Val, Jeyaraj, Naomi, Kerin, Lourda, Thavanesan, Kamy, Tiwari, Divya, Cox, Chantel, Ljubez, Anja, Tucker, Laura, Iqbal, Arshi, Bagnall, Caroline, Keltos, Marketa, Roberts, Josh, Jupp, Becky, Ovington, Catherine, Rogers, Emily, David, Owen, Bell, Jo, Longland, Barbara, Hann, Gail, Cooper, Martin, Nasar, Mohammad, Rajapakse, Anoja, Wynter, Inez, Anwar, Ijaz, Skinner, Helen, Nozedar, Tarn, McArdle, Damian, Kumar, Balakrishna, Crawford, Susan, Annamalai, Arunkumar, Ramshaw, Alex, Holmes, Clare, Caine, Sarah, Osborn, Mairead, Dodd, Emily, Murphy, Peter, Devitt, Nicola, Baker, Pauline, Steele, Amy, Guthrie, Lucy Belle, Clarke, Samantha, Hassan, Ahamad, Waugh, Dean, Veraque, Emelda, Makawa, Linetty, Kambafwile, Mary, Randall, Marc, Papavasileiou, Vasileios, Cullen, Claire, Peters, Jenny, Thant, Hlaing, Ingram, Tanya, Zoe, Mellor, Durairaj, Ramesh, Harrison, Melanie, Stevenson, Sarah, Shackcloth, Daniela, Ewing, Jordan, Sutton, Victoria, McCarron, Mark, McKee, Jacqueline, Doherty, Mandy, McVerry, Ferghal, Blair, Caroline, MacLeod, Mary, Irvine, Janice, Gow, Heather, Furnace, Jacqueline, Joyson, Anu, Jagpal, Baljit, Ross, Sarah, Klaasen, Katrina, Nelson, Sandra, Clarke, Rebecca, Crouch, Nichola, MacLennan, Beverly, Taylor, Vicky, Epstein, Daniel, Shukla, Avani, Krishnamurthy, Vinodh, Nicholas, Paul, Qureshi, Sammie, Webber, Adam, Penge, Justin, Ramadan, Hawraman, Maguire, Stuart, Patterson, Chris, Bellfield, Ruth, Hairsine, Brigid, Stewart, Kelvin, Hooley, Michaela, Quinn, Outi, Richard, Bella, Moseley, Sally, Edwards, Mandy, Lawson, Heidi, Tayler, Michelle, Pai, Yogish, Dhakal, Mahesh, Esisi, Bernard, Dima, Sofia, Smith, Gemma Marie, Garside, Mark, Naeem, Muhammad, Baliga, Vidya, Rogers, Gill, Brown, Ellen, Bruce, David, Hayman, Rachel, Clayton, Susan, Gamble, Ed, Grue, Rebecca, Charles, Bethan, Hague, Adam, Blane, Sujata, Lambert, Caroline, Chaudhry, Afnan, Harrison, Thomas, Saastamoinen, Kari, Hove, Dionne, Howaniec, Laura, Grimwood, Gemma, Redjep, Ozlem, Humphries, Fiona, Argandona, Lucia, Cuenoud, Larissa, Erumere, Esther, Amlani, Sageet, Auld, Grace, Salek-Haddadi, Afraim, Schulz, Ursula, Kennedy, James, Ford, Gary, Mathieson, Philip, Reckless, Ian, Teal, Rachel, Lenti, Giulia, Harston, George, O'Brien, Eoin, Mcgee, Joanne, Mitchell, Jennifer, Amis, Elaine, Handley, Dominic, Kelly, Siobhan, Zachariah, George, Francis, Jobbin, Crisp, Sarah, Sesay, Juliana, Finlay, Sarah, Hayhoe, Helen, Hannon, Niamh, Hughes, Tom, Morse, Bethan, De Berker, Henry, Tallantyre, Emma, Osman, Ahmed, White, Susan, Schwarz, Stefan, Jelley, Benjamin, Yadava, Rajendra, Azhar, Khalid, Reddan, Julie, Sangombe, Mirriam, Stafford, Samantha, Fotherby, Ken, Morgan, Debbie, Baig, Farrukh, Jennings-Preece, Karla, Butler, Donna, Ahmad, Nasar, Willberry, Angela, Stevens, Angela, Rai, Baljinder, Siddegowda, Prasad, Howard, Peter, Hyatt, Lisa, Dobson, Tracey, Jarrett, David, Ponnambath, Suheil, Tandy, Jane, Harrington-Davies, Yasmin, Butler, Rebecca, James, Claire, Valentine, Stacey, Suttling, Anne, Langhorne, Peter, Kerr, Gillian, Wright, Fiona, Graham, Ruth, McAlpine, Christine, Iqbal, Mohammad Shahzad, Humphreys, Louise, Pasco, Kath, Balazikova, Olga, Nasim, Ashraf, Peixoto, Cassilda, Gallagher, Louise, Shahmehri, Shahrzad, Ghosh, Sandip, Barrie, Elizabeth, Gilmour, Danielle, Henry, Margo, Webb, Tom, Cowie, Linda, Rudenko, Hannah, McDonald, Shanni, Schumacher, Natasha, Walker, Susannah, Cosier, Tracey, Verrion, Anna, Beranova, Eva, Thomson, Audrey, Venter, Marius, Kar, Arindam, Mashate, Sheila, Harvey, Kirsten, Gardener, Léjeune, Nguyen, Vinh, Halse, Omid, Geraghty, Olivia, Hazel, Beth, Wilding, Peter, Tilley, Victoria, Cassidy, Tim, McClelland, Beverley, Bokhari, Maria, England, Timothy, Maddula, Mohana, Donnelly, Richard, Findlay, Paul, Macaden, Ashish, Shread, Ian, Barr, Charlotte, Mohd Nor, Azlisham, Brown, Claire, Persad, Nicola, Eglinton, Charlotte, Weinling, Marie, Hyams, Benjamin, Shah, Alex, Baker, John, Byrne, Anthony, McGhee, Caroline, Smart, Amanda, Copeland, Claire, Carpenter, Michael, Walker, Marion, Davey, Richard, Needle, Ann, Fathima, Razik, Bateman, Gavin, Datta, Prabal, Stanners, Andrew, Jackson, Linda, Ball, Julie, Davis, Michelle, Atkinson, Natalie, Fawcett, Michelle, Thompson, Teresa, Guy, Helen, Hogg, Valerie, Hays, Carole, Woodward, Stephen, Haque, Mohammad, Hakim, Eluzai, Symonds, Stuart, Maanoosi, Mehran, Herman, Jane, Black, Toby, Miriam, Skelton, Clarke, Caroline, Anthony, Alpha, Tribbeck, Michele, Cronin, Julie, Mead, Denise, Fennelly, Ruth, McIlmoyle, James, Dickinson, Christina, Jeffs, Carol, Anwar, Sajjad, Howard, Joanne, Jones, Kirsty, Dhar, Saikat, Clay, Caroline, Siddiq, Muhammad, Ivatts, Simone, Baird, Yolanda, Sally, Moore, Amey, Isobel, Newton, Sophie, Clayton-Evans, Lisa, Chadbourn, Indra, Rayessa, Rayessa, Naylor, Charde, Rodgers, Alicia, Wilson, Lisa, Wilson, Sarah, Clarkson, Emma, Davies, Ruth, Owings, Paula, Sangster, Graeme, Gott, Valerie, Little, Victoria, Weir, Pauline, Cherian, Suja, Jose, Deepa, Moroney, Helen, Downham, Susan, Dodd, Angela, Vettimootal Johnson, Venetia, Codd, Laura, Robinson, Naomi, Ahmed, Ashraf, Albazzaz, Mo, Johnson, Sharon, Denniss, Carol, Cunningham, Mishell, Zahoor, Tajammal, Webster, Timothy, Leason, Sandra, Haider, Syed, Chatterjee, Kausic, Nallasivan, Arumugam, Perkins, Charlotte, Seagrave, Samantha, Jenkins, Colin, Price, Fiona, Hughes, Claire, Mercer, Lily, Hussain, Malik, Brown, Sarah, Harvey, Miriam, Homan, Jane, Khan, Mohammad, Whiting, Robert, Foote, Leanne, Hunt, Nicholas, Durman, Helen, Brotherton, Lucy, Foot, Jayne, Pawley, Corinne, Foster, Eliza, Whitcher, Alison, Metcalf, Kneale, Jagger, Jenny, McDonald, Susan, Waterfield, Kelly, Sutton, Patrick, Shinh, Naval, Anversha, Ajmal, Ravenhill, Garth, Greenwood, Richard, Saada, Janak, Wiltshire, Alison, Perfitt, Rebekah, Andole, Sreeman, Gadapa, Naveen, Dunne, Karen, Krommyda, Magdalini, Burssens, Evelyne, King, Sam, Plewa, Catherine, Smyth, Nigel, Wilson, Jenny, Giallombardo, Elio, Sykes, Lucy, Kumar, Pradeep, Barker, James, Huggett, Isabel, Dunn, Linda, Culmsee, Charlotte, Thomas, Philip, Myint, Min, Brew, Helen, Majmudar, Nikhil, OConnell, Janice, Bunea, George, Fox, Charlotte, Gulliver, Diane, Smith, Andrew, Mokoena, Betty, Sattar, Naweed, Krishnamurthy, Ramesh, Osborne, Emily, Wilson, David, Wroath, Belinda, Dynan, Kevin, Power, Michael, Thompson, Susan, Adell, Victoria, Orugun, Enoch, Poultney, Una, Glover, Rachel, Crowther, Hannah, Thornthwaite, Sarah, Wiggam, Ivan, Wallace, Aine, Kerr, Enda, Fulton, Ailsa, Hunter, Annemarie, Tauro, Suzanne, Cuddy, Sarah, Mangion, David, Hardwick, Anne, Markova, Skarlet, Lawrence, Tara, Constantin, Carmen, Fletcher, Jo, Thomas, Isobel, Pettitt, Kerry, Sekaran, Lakshmanan, Tate, Margaret, Bharaj, Kiranjit, Simon, Rohan, Justin, Frances, Sethuraman, Sakthivel, Phiri, Duke, Mohammed, Niaz, Chauhan, Meena, Elfandi, Khaled, Khan, Uzma, Eveson, David, Mistri, Amit, Manning, Lisa, Khan, Shagufta, Patel, Champa, Moqsith, Mohammed, Sattar, Saira, Lam, Man Yee, Musarrat, Kashif, Stephens, Claire, Kalathil, Latheef, Miller, Richard, Salehin, Maqsud, Gautam, Nikki, Bailey, Duncan, Amor, Kelly, Meir, Julie, Nicolson, Anne, Imam, Javed, Wood, Lisa, White, Julie, Sajid, Mahmud, Ghaly, George, Ball, Margaret, Gascoyne, Rachel, Proeschel, Harald, Sharpe, Simon, Horton, Sarah, Beaves, Emily, Jones, Stephanie, Yip, Brigitte, Bell, Murdina, MacLiver, Linda, MacInnes, Brian, Sims, Don, Hurley, Jennifer, Willmot, Mark, Sutton, Claire, Littleton, Edward, Maiden, Susan, Jones, Rachael, Cunningham, James, Green, Carole, Bates, Michelle, Shekhar, Raj, Gilham, Ellie, Ahmed, Iman, Crown, Rachel, Fuller, Tracy, Goorah, Neetish, Bell, Angela, Kelly, Christine, Singh, Arun, Walford, Jamie, Tomlinson, Benjamin, Patel, Farzana, Duberley, Stephen, Kane, Ingrid, Rajkumar, Chakravarthi, Gaylard, Jane, Breeds, Joanna, Gainsborough, Nicola, Pitt-Ford, Alexandra, Barbon, Emma, Latter, Laura, Thompson, Philip, Hervey, Simon, Krishnamoorthy, Shrivakumar, Vassallo, Joseph, Walter, Deborah, Cochrane, Helen, Srinivasan, Meena, Campbell, Robert, Donaldson, Denise, Motherwell, Nichola, Hurford, Frances, Mukherjee, Indranil, Kenton, Antony, Nyabadza, Sheila, Martin, Irene, Hunt, Benjamin, Hassan, Hardi, O'Toole, Sarah, Dallol, Bander, Putterill, Janet, Jha, Ratneshwari, Gallifent, Rachel, Kakar, Puneet, Pusalkar, Aparna, Chan, kelly, Dangri, Puneet, Beadle, Hannah, Cook, Angela, Crabtree, Karen, Subramonian, Santhosh, Owusu-Agyei, Peter, Temple, Natalie, Butterworth-Cowin, Nicola, Ragab, Suzanne, Knops, Kerstin, Jinks, Emma, Dickson, Christine, Gleave, Laura, Dube, Judith, Leggett, Jacqui, Garcia, Tatiana, Ispoglou, Sissy, Evans, Rachel, Ankolekar, Sandeep, Hayes, Anne, Ni, Hlaing, Rahman, Bithi, Milligan, Josette, Graham, Carol, Jose, Josin, Keegan, Breffni, Kelly, Jim, Dewar, Richard, White, James, Thomas, Kelly, Minks, David P, Rodrigues, Mark A, du Plessis, Johann C, Dennis, Martin S, Murray, Gordon D, Newby, David E, Sandercock, Peter A G, Stephen, Jacqueline, Sudlow, Cathie L M, Werring, David J, Whiteley, William N, Wardlaw, Joanna M, and White, Philip M

Published
2019
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17. Legacy benefits of blood pressure treatment on cardiovascular events are primarily mediated by improved blood pressure variability: the ASCOT trial.

Author

Gupta, Ajay, Whiteley, William N, Godec, Thomas, Rostamian, Somayeh, Ariti, Cono, Mackay, Judith, Whitehouse, Andrew, Janani, Leila, Poulter, Neil R, Sever, Peter S, and Investigators, the ASCOT-10

Subjects
BLOOD pressure, MYOCARDIAL infarction, SYSTOLIC blood pressure, HEART failure, PROPORTIONAL hazards models, CORONARY disease
Abstract

Background and Aims Visit-to-visit systolic blood pressure variability (BPV) is an important predictor of cardiovascular (CV) outcomes. The long-term effect of a period of blood pressure (BP) control, but with differential BPV, is uncertain. Morbidity and mortality follow-up of UK participants in the Anglo-Scandinavian Cardiac Outcomes Trial-Blood Pressure-Lowering Arm has been extended for up to 21 years to determine the CV impact of mean systolic blood pressure (SBP) control and BPV during the trial, and amongst those allocated to amlodipine- and atenolol-based treatment. Methods Eight thousand five hundred and eighty hypertensive participants (4305 assigned to amlodipine ± perindopril-based and 4275 to atenolol ± diuretic-based treatment during the in-trial period (median 5.5 years) were followed for up to 21 years (median 17.4 years), using linked hospital and mortality records. A subgroup of participants (n = 2156) was followed up 6 years after the trial closure with a self-administered questionnaire and a clinic visit. In-trial mean SBP and standard deviation of visit-to-visit SBP as a measure of BPV, were measured using >100 000 BP measurements. Cox proportional hazard models were used to estimate the risk [hazard ratios (HRs)], associated with (i) mean with SBP and BPV during the in-trial period, for the CV endpoints occurring after the end of the trial and (ii) randomly assigned treatment to events following randomization, for the first occurrence of pre-specified CV outcomes. Results Using BP data from the in-trial period, in the post-trial period, although mean SBP was a predictor of CV outcomes {HR per 10 mmHg, 1.14 [95% confidence interval (CI) 1.10–1.17], P <.001}, systolic BPV independent of mean SBP was a strong predictor of CV events [HR per 5 mmHg 1.22 (95% CI 1.18–1.26), P <.001] and predicted events even in participants with well-controlled BP. During 21-year follow-up, those on amlodipine-based compared with atenolol-based in-trial treatment had significantly reduced risk of stroke [HR 0.82 (95% CI 0.72–0.93), P =.003], total CV events [HR 0.93 (95% CI 0.88–0.98), P =.008], total coronary events [HR 0.92 (95% CI 0.86–0.99), P =.024], and atrial fibrillation [HR 0.91 (95% CI 0.83–0.99), P =.030], with weaker evidence of a difference in CV mortality [HR 0.91 (95% CI 0.82–1.01), P =.073]. There was no significant difference in the incidence of non-fatal myocardial infarction and fatal coronary heart disease, heart failure, and all-cause mortality. Conclusions Systolic BPV is a strong predictor of CV outcome, even in those with controlled SBP. The long-term benefits of amlodipine-based treatment compared with atenolol-based treatment in reducing CV events appear to be primarily mediated by an effect on systolic BPV during the trial period. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Genetic associations of adult height with risk of cardioembolic and other subtypes of ischemic stroke: A mendelian randomization study in multiple ancestries

Author

Linden, Andrew B., Clarke, Robert, Hammami, Imen, Hopewell, Jemma C., Guo, Yu, Whiteley, William N., Lin, Kuang, Turnbull, Iain, Chen, Yiping, Yu, Canqing, Lv, Jun, Offer, Alison, Bennett, Derrick, Walters, Robin G., Li, Liming, Chen, Zhengming, and Parish, Sarah

Subjects
Stature, Tall -- Health aspects, Stroke (Disease) -- Risk factors -- Genetic aspects -- Prevention, Genetic research, Atrial fibrillation -- Risk factors -- Genetic aspects, Genetic variation -- Health aspects, Biological sciences
Abstract

Background Taller adult height is associated with lower risks of ischemic heart disease in mendelian randomization (MR) studies, but little is known about the causal relevance of height for different subtypes of ischemic stroke. The present study examined the causal relevance of height for different subtypes of ischemic stroke. Methods and findings Height-associated genetic variants (up to 2,337) from previous genome-wide association studies (GWASs) were used to construct genetic instruments in different ancestral populations. Two-sample MR approaches were used to examine the associations of genetically determined height with ischemic stroke and its subtypes (cardioembolic stroke, large-artery stroke, and small-vessel stroke) in multiple ancestries (the MEGASTROKE consortium, which included genome-wide studies of stroke and stroke subtypes: 60,341 ischemic stroke cases) supported by additional cases in individuals of white British ancestry (UK Biobank [UKB]: 4,055 cases) and Chinese ancestry (China Kadoorie Biobank [CKB]: 10,297 cases). The associations of genetically determined height with established cardiovascular and other risk factors were examined in 336,750 participants from UKB and 58,277 participants from CKB. In MEGASTROKE, genetically determined height was associated with a 4% lower risk (odds ratio [OR] 0.96; 95% confidence interval [CI] 0.94, 0.99; p = 0.007) of ischemic stroke per 1 standard deviation (SD) taller height, but this masked a much stronger positive association of height with cardioembolic stroke (13% higher risk, OR 1.13 [95% CI 1.07, 1.19], p < 0.001) and stronger inverse associations with large-artery stroke (11% lower risk, OR 0.89 [0.84, 0.95], p < 0.001) and small-vessel stroke (13% lower risk, OR 0.87 [0.83, 0.92], p < 0.001). The findings in both UKB and CKB were directionally concordant with those observed in MEGASTROKE, but did not reach statistical significance: For presumed cardioembolic stroke, the ORs were 1.08 (95% CI 0.86, 1.35; p = 0.53) in UKB and 1.20 (0.77, 1.85; p = 0.43) in CKB; for other subtypes of ischemic stroke in UKB, the OR was 0.97 (95% CI 0.90, 1.05; p = 0.49); and for other nonlacunar stroke and lacunar stroke in CKB, the ORs were 0.89 (0.80, 1.00; p = 0.06) and 0.99 (0.88, 1.12; p = 0.85), respectively. In addition, genetically determined height was also positively associated with atrial fibrillation (available only in UKB), and with lean body mass and lung function, and inversely associated with low-density lipoprotein (LDL) cholesterol in both British and Chinese ancestries. Limitations of this study include potential bias from assortative mating or pleiotropic effects of genetic variants and incomplete generalizability of genetic instruments to different populations. Conclusions The findings provide support for a causal association of taller adult height with higher risk of cardioembolic stroke and lower risk of other ischemic stroke subtypes in diverse ancestries. Further research is needed to understand the shared biological and physical pathways underlying the associations between height and stroke risks, which could identify potential targets for treatments to prevent stroke., Author(s): Andrew B. Linden 1, Robert Clarke 1, Imen Hammami 1, Jemma C. Hopewell 1, Yu Guo 2, William N. Whiteley 1,3, Kuang Lin 1, Iain Turnbull 1, Yiping Chen [...]

Published
2022
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22. Association of COVID-19 vaccines ChAdOx1 and BNT162b2 with major venous, arterial, or thrombocytopenic events: A population-based cohort study of 46 million adults in England

Author

Whiteley, William N., Ip, Samantha, Cooper, Jennifer A., Bolton, Thomas, Keene, Spencer, Walker, Venexia, Denholm, Rachel, Akbari, Ashley, Omigie, Efosa, Hollings, Sam, Di Angelantonio, Emanuele, Denaxas, Spiros, Wood, Angela, Sterne, Jonathan A. C., and Sudlow, Cathie

Subjects
Blood clot -- Risk factors -- Demographic aspects, Thrombosis -- Risk factors -- Demographic aspects, Thrombocytopenia -- Risk factors -- Demographic aspects, Biological sciences, Comirnaty (Vaccine) -- Complications and side effects, AZD1222 (Vaccine) -- Complications and side effects
Abstract

Background Thromboses in unusual locations after the Coronavirus Disease 2019 (COVID-19) vaccine ChAdOx1-S have been reported, although their frequency with vaccines of different types is uncertain at a population level. The aim of this study was to estimate the population-level risks of hospitalised thrombocytopenia and major arterial and venous thromboses after COVID-19 vaccination. Methods and findings In this whole-population cohort study, we analysed linked electronic health records from adults living in England, from 8 December 2020 to 18 March 2021. We estimated incidence rates and hazard ratios (HRs) for major arterial, venous, and thrombocytopenic outcomes 1 to 28 and >28 days after first vaccination dose for ChAdOx1-S and BNT162b2 vaccines. Analyses were performed separately for ages Of 46 million adults, 23 million (51%) were women; 39 million (84%) were 28 days post-ChAdOx1-S, 359 (338 to 382), [less than or equal to]28 days post-BNT162b2-S, 241 (229 to 253); >28 days post-BNT162b2-S 277 (263 to 291). The crude incidence rates (per 100,000 person-years) of all arterial events were as follows: prevaccination, 546 (95% CI: 541 to 555); [less than or equal to]28 days post-ChAdOx1-S, 1,211 (1,185 to 1,237); >28 days post-ChAdOx1-S, 1678 (1,630 to 1,726), [less than or equal to]28 days post-BNT162b2-S, 1,242 (1,214 to 1,269); >28 days post-BNT162b2-S, 1,539 (1,507 to 1,572). Adjusted HRs (aHRs) 1 to 28 days after ChAdOx1-S, compared with unvaccinated rates, at ages Rates of intracranial venous thrombosis (ICVT) and of thrombocytopenia in adults aged The main limitations of the study are as follows: (i) it relies on the accuracy of coded healthcare data to identify exposures, covariates, and outcomes; (ii) the use of primary reason for hospital admission to measure outcome, which improves the positive predictive value but may lead to an underestimation of incidence; and (iii) potential unmeasured confounding. Conclusions In this study, we observed increases in rates of ICVT and thrombocytopenia after ChAdOx1-S vaccination in adults aged, Author(s): William N. Whiteley 1,2,*, Samantha Ip 3, Jennifer A. Cooper 4, Thomas Bolton 3,5, Spencer Keene 3, Venexia Walker 4, Rachel Denholm 4, Ashley Akbari 6, Efosa Omigie 7, [...]

Published
2022
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24. The circulating proteome and brain health: Mendelian randomisation and cross-sectional analyses

Author

Walker, Rosie M., primary, Chong, Michael, additional, Perrot, Nicolas, additional, Pigeyre, Marie, additional, Gadd, Danni A., additional, Stolicyn, Aleks, additional, Shi, Liu, additional, Campbell, Archie, additional, Shen, Xueyi, additional, Whalley, Heather C., additional, Nevado-Holgado, Alejo, additional, McIntosh, Andrew M., additional, Heitmeier, Stefan, additional, Rangarajan, Sumathy, additional, O’Donnell, Martin, additional, Smith, Eric E., additional, Yusuf, Salim, additional, Whiteley, William N., additional, and Paré, Guillaume, additional

Published
2023
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25. Association of COVID-19 With Major Arterial and Venous Thrombotic Diseases: A Population-Wide Cohort Study of 48 Million Adults in England and Wales

Author

Knight, Rochelle, Walker, Venexia, Ip, Samantha, Cooper, Jennifer A, Bolton, Thomas, Keene, Spencer, Denholm, Rachel, Akbari, Ashley, Abbasizanjani, Hoda, Torabi, Fatemeh, Omigie, Efosa, Hollings, Sam, North, Teri-Louise, Toms, Renin, Jiang, Xiyun, Angelantonio, Emanuele Di, Denaxas, Spiros, Thygesen, Johan H, Tomlinson, Christopher, Bray, Ben, Smith, Craig J, Barber, Mark, Khunti, Kamlesh, Davey Smith, George, Chaturvedi, Nishi, Sudlow, Cathie, Whiteley, William N, Wood, Angela M, Sterne, Jonathan AC, CVD-COVID-UK/COVID-IMPACT Consortium And The Longitudinal Health And Wellbeing COVID-19 National Core Study, Knight, Rochelle [0000-0002-4128-6821], Walker, Venexia [0000-0001-5064-446X], Keene, Spencer [0000-0003-0622-6476], Denholm, Rachel [0000-0002-8067-5440], Akbari, Ashley [0000-0003-0814-0801], Abbasizanjani, Hoda [0000-0002-9575-4758], Torabi, Fatemeh [0000-0002-5853-4625], Hollings, Sam [0000-0001-9022-7003], Toms, Renin [0000-0002-6922-1448], Jiang, Xiyun [0000-0003-0720-923X], Angelantonio, Emanuele Di [0000-0001-8776-6719], Thygesen, Johan H [0000-0002-7479-3459], Tomlinson, Christopher [0000-0002-0903-5395], Barber, Mark [0000-0002-2893-1566], Davey Smith, George [0000-0002-1407-8314], Chaturvedi, Nishi [0000-0002-6211-2775], Sudlow, Cathie [0000-0002-7725-7520], Whiteley, William N [0000-0002-4816-8991], Sterne, Jonathan AC [0000-0001-8496-6053], and Apollo - University of Cambridge Repository

Subjects
Adult, Venous Thrombosis, pulmonary embolism, COVID-19 Vaccines, Wales, SARS-CoV-2, COVID-19, Thrombosis, Venous Thromboembolism, stroke, Cohort Studies, electronic health records, myocardial infarction, Humans, Vascular Diseases
Abstract

BACKGROUND: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a prothrombotic state, but long-term effects of COVID-19 on incidence of vascular diseases are unclear. METHODS: We studied vascular diseases after COVID-19 diagnosis in population-wide anonymized linked English and Welsh electronic health records from January 1 to December 7, 2020. We estimated adjusted hazard ratios comparing the incidence of arterial thromboses and venous thromboembolic events (VTEs) after diagnosis of COVID-19 with the incidence in people without a COVID-19 diagnosis. We conducted subgroup analyses by COVID-19 severity, demographic characteristics, and previous history. RESULTS: Among 48 million adults, 125 985 were hospitalized and 1 319 789 were not hospitalized within 28 days of COVID-19 diagnosis. In England, there were 260 279 first arterial thromboses and 59 421 first VTEs during 41.6 million person-years of follow-up. Adjusted hazard ratios for first arterial thrombosis after COVID-19 diagnosis compared with no COVID-19 diagnosis declined from 21.7 (95% CI, 21.0-22.4) in week 1 after COVID-19 diagnosis to 1.34 (95% CI, 1.21-1.48) during weeks 27 to 49. Adjusted hazard ratios for first VTE after COVID-19 diagnosis declined from 33.2 (95% CI, 31.3-35.2) in week 1 to 1.80 (95% CI, 1.50-2.17) during weeks 27 to 49. Adjusted hazard ratios were higher, for longer after diagnosis, after hospitalized versus nonhospitalized COVID-19, among Black or Asian versus White people, and among people without versus with a previous event. The estimated whole-population increases in risk of arterial thromboses and VTEs 49 weeks after COVID-19 diagnosis were 0.5% and 0.25%, respectively, corresponding to 7200 and 3500 additional events, respectively, after 1.4 million COVID-19 diagnoses. CONCLUSIONS: High relative incidence of vascular events soon after COVID-19 diagnosis declines more rapidly for arterial thromboses than VTEs. However, incidence remains elevated up to 49 weeks after COVID-19 diagnosis. These results support policies to prevent severe COVID-19 by means of COVID-19 vaccines, early review after discharge, risk factor control, and use of secondary preventive agents in high-risk patients., This work was funded by the Longitudinal Health and Wellbeing COVID-19 National Core Study, which was established by the UK Chief Scientific Officer in October 2020 and funded by UK Research and Innovation (grant references MC_PC_20030 and MC_PC_20059), by the British Heart Foundation as part of the BHF Data Science Centre led by HDR UK (BHF grant number SP/19/3/34678), and by the Data and Connectivity National Core Study, led by Health Data Research UK in partnership with the Office for National Statistics and funded by UK Research and Innovation(grant reference MC_PC_20058). This work uses data provided by patients and collected by the NHS as part of their care and support. We would also like to acknowledge all data providers who make anonymised data available for research. This work was supported by the Con-COV team funded by the Medical Research Council (grant number: MR/V028367/1). This work was supported by Health Data Research UK, which receives its funding from HDR UK Ltd (HDR-9006) funded by the UK Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, Department of Health and Social Care (England), Chief Scientist Office of the Scottish Government Health and Social Care Directorates, Health and Social Care Research and Development Division (Welsh Government), Public Health Agency (Northern Ireland), British Heart Foundation (BHF) and the Wellcome Trust. This work was supported by core funding from the: British Heart Foundation (BHF; RG/13/13/30194; RG/18/13/33946), BHF Cambridge CRE (RE/13/6/30180) and NIHR Cambridge Biomedical Research Centre (BRC-1215-20014) [*]. This work was supported by the ADR Wales programme of work. The ADR Wales programme of work is aligned to the priority themes as identified in the Welsh Government’s national strategy: Prosperity for All. ADR Wales brings together data science experts at Swansea University Medical School, staff from the Wales Institute of Social and Economic Research, Data and Methods (WISERD) at Cardiff University and specialist teams within the Welsh Government to develop new evidence which supports Prosperity for All by using the SAIL Databank at Swansea University, to link and analyse anonymised data. ADR Wales is part of the Economic and Social Research Council (part of UK Research and Innovation) funded ADR UK (grant ES/S007393/1). This work was supported by the Wales COVID-19 Evidence Centre, funded by Health and Care Research Wales. SI was funded by a BHF-Turing Cardiovascular Data Science Award (BCDSA\100005) and is funded by a University College London FB Cancer Research UK Award (C18081/A31373). RK, JAC and JACS were supported by the NIHR Bristol Biomedical Research Centre. RK, VW GDS were supported by the MRC Integrative Epidemiology Unit at the University of Bristol. RK was supported by NIHR ARC West. RD and JACS were supported by Health Data Research UK. SK is funded by the NIHR Blood and Transplant Research Unit in Donor Health and Genomics (NIHR BTRU-2014-10024). TM was funded by the NIHR Blood and Transplant Research Unit in Donor Health and Genomics (NIHR BTRU-2014-10024). AMW is part of the BigData@Heart Consortium, funded by the Innovative Medicines Initiative-2 Joint Undertaking under grant agreement No 116074 and was supported by the BHF-Turing Cardiovascular Data Science Award (BCDSA\100005). WW is supported by the Chief Scientist’s Office (CAF/01/17). CS, CS, MB AW and WW are supported by Stroke Association (SA CV 20\100018).

Published
2022

28. Global variation in tests of cognitive and physical function: analysis of six international randomized controlled trials

Author

Katsanos, Aristeidis H., primary, Lee, Shun Fu, additional, Cukierman-Yaffe, Tali, additional, Sherlock, Laura, additional, Muniz-Terrera, Graciela, additional, Canavan, Michele, additional, Joundi, Raed, additional, Sharma, Mukul, additional, Shoamanesh, Ashkan, additional, Derix, Andrea, additional, Gerstein, Hertzel C., additional, Yusuf, Salim, additional, O’Donnell, Martin J., additional, Bosch, Jackie, additional, and Whiteley, William N., additional

Published
2023
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30. Association of COVID-19 vaccines ChAdOx1 and BNT162b2 with major venous, arterial, or thrombocytopenic events: A population-based cohort study of 46 million adults in England

Author

Whiteley, William N, Ip, Samantha, Cooper, Jennifer A, Bolton, Thomas, Keene, Spencer, Walker, Venexia, Denholm, Rachel, Akbari, Ashley, Omigie, Efosa, Hollings, Sam, Di Angelantonio, Emanuele, Denaxas, Spiros, Wood, Angela, Sterne, Jonathan AC, Sudlow, Cathie, CVD-COVID-UK Consortium, Whiteley, William N [0000-0002-4816-8991], Ip, Samantha [0000-0001-9162-6727], Cooper, Jennifer A [0000-0001-9364-7353], Bolton, Thomas [0000-0002-2998-7975], Keene, Spencer [0000-0003-0622-6476], Walker, Venexia [0000-0001-5064-446X], Denholm, Rachel [0000-0002-8067-5440], Akbari, Ashley [0000-0003-0814-0801], Di Angelantonio, Emanuele [0000-0001-8776-6719], Denaxas, Spiros [0000-0001-9612-7791], Wood, Angela [0000-0002-7937-304X], Sudlow, Cathie [0000-0002-7725-7520], and Apollo - University of Cambridge Repository

Subjects
Medicine and health sciences, Adult, Male, COVID-19 Vaccines, Biology and life sciences, SARS-CoV-2, Incidence, Vaccination, Middle Aged, Thrombocytopenia, Cohort Studies, England, ChAdOx1 nCoV-19, Humans, Female, BNT162 Vaccine, Research Article, Aged
Abstract

Funder: Wellcome Trust, BACKGROUND: Thromboses in unusual locations after the Coronavirus Disease 2019 (COVID-19) vaccine ChAdOx1-S have been reported, although their frequency with vaccines of different types is uncertain at a population level. The aim of this study was to estimate the population-level risks of hospitalised thrombocytopenia and major arterial and venous thromboses after COVID-19 vaccination. METHODS AND FINDINGS: In this whole-population cohort study, we analysed linked electronic health records from adults living in England, from 8 December 2020 to 18 March 2021. We estimated incidence rates and hazard ratios (HRs) for major arterial, venous, and thrombocytopenic outcomes 1 to 28 and >28 days after first vaccination dose for ChAdOx1-S and BNT162b2 vaccines. Analyses were performed separately for ages 28 days post-ChAdOx1-S, 359 (338 to 382), ≤28 days post-BNT162b2-S, 241 (229 to 253); >28 days post-BNT162b2-S 277 (263 to 291). The crude incidence rates (per 100,000 person-years) of all arterial events were as follows: prevaccination, 546 (95% CI: 541 to 555); ≤28 days post-ChAdOx1-S, 1,211 (1,185 to 1,237); >28 days post-ChAdOx1-S, 1678 (1,630 to 1,726), ≤28 days post-BNT162b2-S, 1,242 (1,214 to 1,269); >28 days post-BNT162b2-S, 1,539 (1,507 to 1,572). Adjusted HRs (aHRs) 1 to 28 days after ChAdOx1-S, compared with unvaccinated rates, at ages

Published
2022
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32. Prognostic value of blood interleukin-6 in the prediction of functional outcome after stroke: A systematic review and meta-analysis

Author

Bustamante, Alejandro, Sobrino, Tomás, Giralt, Dolors, García-Berrocoso, Teresa, Llombart, Victor, Ugarriza, Iratxe, Espadaler, Marc, Rodríguez, Noelia, Sudlow, Cathie, Castellanos, Mar, Smith, Craig J., Rodríguez-Yánez, Manuel, Waje-Andreassen, Ulrike, Tanne, David, Oto, Jun, Barber, Mark, Worthmann, Hans, Wartenberg, Katja E., Becker, Kyra J., Chakraborty, Baidarbhi, Oh, Seung-Hun, Whiteley, William N., Castillo, José, and Montaner, Joan

Published
2014
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37. The REstart or STop Antithrombotics Randomised Trial (RESTART) after stroke due to intracerebral haemorrhage: study protocol for a randomised controlled trial

Author

Al-Shahi Salman, Rustam, Dennis, Martin S., Murray, Gordon D., Innes, Karen, Drever, Jonathan, Dinsmore, Lynn, Williams, Carol, White, Philip M., Whiteley, William N., Sandercock, Peter A. G., Sudlow, Cathie L. M., Newby, David E., Sprigg, Nikola, Werring, David J., and the RESTART collaborators

Published
2018
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38. COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records

Author

Thygesen, Johan H, primary, Tomlinson, Christopher, additional, Hollings, Sam, additional, Mizani, Mehrdad A, additional, Handy, Alex, additional, Akbari, Ashley, additional, Banerjee, Amitava, additional, Cooper, Jennifer, additional, Lai, Alvina G, additional, Li, Kezhi, additional, Mateen, Bilal A, additional, Sattar, Naveed, additional, Sofat, Reecha, additional, Torralbo, Ana, additional, Wu, Honghan, additional, Wood, Angela, additional, Sterne, Jonathan A C, additional, Pagel, Christina, additional, Whiteley, William N, additional, Sudlow, Cathie, additional, Hemingway, Harry, additional, Denaxas, Spiros, additional, Abbasizanjani, Hoda, additional, Ahmed, Nida, additional, Ahmed, Badar, additional, Akinoso-Imran, Abdul Qadr, additional, Allara, Elias, additional, Allery, Freya, additional, Angelantonio, Emanuele Di, additional, Ashworth, Mark, additional, Ayyar-Gupta, Vandana, additional, Babu-Narayan, Sonya, additional, Bacon, Seb, additional, Ball, Steve, additional, Banerjee, Ami, additional, Barber, Mark, additional, Barrett, Jessica, additional, Bennie, Marion, additional, Berry, Colin, additional, Beveridge, Jennifer, additional, Birney, Ewan, additional, Bojanić, Lana, additional, Bolton, Thomas, additional, Bone, Anna, additional, Boyle, Jon, additional, Braithwaite, Tasanee, additional, Bray, Ben, additional, Briffa, Norman, additional, Brind, David, additional, Brown, Katherine, additional, Buch, Maya, additional, Canoy, Dexter, additional, Caputo, Massimo, additional, Carragher, Raymond, additional, Carson, Alan, additional, Cezard, Genevieve, additional, Chang, Jen-Yu Amy, additional, Cheema, Kate, additional, Chin, Richard, additional, Chudasama, Yogini, additional, Copland, Emma, additional, Crallan, Rebecca, additional, Cripps, Rachel, additional, Cromwell, David, additional, Curcin, Vasa, additional, Curry, Gwenetta, additional, Dale, Caroline, additional, Danesh, John, additional, Das-Munshi, Jayati, additional, Dashtban, Ashkan, additional, Davies, Alun, additional, Davies, Joanna, additional, Davies, Gareth, additional, Davies, Neil, additional, Day, Joshua, additional, Delmestri, Antonella, additional, Denholm, Rachel, additional, Dennis, John, additional, Denniston, Alastair, additional, Deo, Salil, additional, Dhillon, Baljean, additional, Docherty, Annemarie, additional, Dong, Tim, additional, Douiri, Abdel, additional, Downs, Johnny, additional, Dregan, Alexandru, additional, Ellins, Elizabeth A, additional, Elwenspoek, Martha, additional, Falck, Fabian, additional, Falter, Florian, additional, Fan, Yat Yi, additional, Firth, Joseph, additional, Fraser, Lorna, additional, Friebel, Rocco, additional, Gavrieli, Amir, additional, Gerstung, Moritz, additional, Gilbert, Ruth, additional, Gillies, Clare, additional, Glickman, Myer, additional, Goldacre, Ben, additional, Goldacre, Raph, additional, Greaves, Felix, additional, Green, Mark, additional, Grieco, Luca, additional, Griffiths, Rowena, additional, Gurdasani, Deepti, additional, Halcox, Julian, additional, Hall, Nick, additional, Hama, Tuankasfee, additional, Hansell, Anna, additional, Hardelid, Pia, additional, Hardy, Flavien, additional, Harris, Daniel, additional, Harrison, Camille, additional, Harron, Katie, additional, Hassaine, Abdelaali, additional, Hassan, Lamiece, additional, Healey, Russell, additional, Henderson, Angela, additional, Herz, Naomi, additional, Heyl, Johannes, additional, Hidajat, Mira, additional, Higginson, Irene, additional, Hinchliffe, Rosie, additional, Hippisley-Cox, Julia, additional, Ho, Frederick, additional, Hocaoglu, Mevhibe, additional, Horne, Elsie, additional, Hughes, David, additional, Humberstone, Ben, additional, Inouye, Mike, additional, Ip, Samantha, additional, Islam, Nazrul, additional, Jackson, Caroline, additional, Jenkins, David, additional, Jiang, Xiyun, additional, Johnson, Shane, additional, Kadam, Umesh, additional, Kallis, Costas, additional, Karim, Zainab, additional, Kasan, Jake, additional, Katsoulis, Michalis, additional, Kavanagh, Kim, additional, Kee, Frank, additional, Keene, Spencer, additional, Kent, Seamus, additional, Khalid, Sara, additional, Khawaja, Anthony, additional, Khunti, Kamlesh, additional, Killick, Richard, additional, Kinnear, Deborah, additional, Knight, Rochelle, additional, Kolamunnage-Dona, Ruwanthi, additional, Kontopantelis, Evan, additional, Kurdi, Amanj, additional, Lacey, Ben, additional, Lai, Alvina, additional, Lambarth, Andrew, additional, Larzjan, Milad Nazarzadeh, additional, Lawler, Deborah, additional, Lawrence, Thomas, additional, Lawson, Claire, additional, Li, Qiuju, additional, Li, Ken, additional, Llinares, Miguel Bernabeu, additional, Lorgelly, Paula, additional, Lowe, Deborah, additional, Lyons, Jane, additional, Lyons, Ronan, additional, Machado, Pedro, additional, Macleod, Mary Joan, additional, Macleod, John, additional, Malgapo, Evaleen, additional, Mamas, Mamas, additional, Mamouei, Mohammad, additional, Manohar, Sinduja, additional, Mapeta, Rutendo, additional, Martelli, Javiera Leniz, additional, Martos, David Moreno, additional, Mateen, Bilal, additional, McCarthy, Aoife, additional, Melville, Craig, additional, Milton, Rebecca, additional, Mizani, Mehrdad, additional, Moncusi, Marta Pineda, additional, Morales, Daniel, additional, Mordi, Ify, additional, Morrice, Lynn, additional, Morris, Carole, additional, Morris, Eva, additional, Mu, Yi, additional, Mueller, Tanja, additional, Murdock, Lars, additional, Nafilyan, Vahé, additional, Nicholson, George, additional, Nikiphorou, Elena, additional, Nolan, John, additional, Norris, Tom, additional, Norris, Ruth, additional, North, Laura, additional, North, Teri-Louise, additional, O'Connell, Dan, additional, Oliver, Dominic, additional, Oluyase, Adejoke, additional, Olvera-Barrios, Abraham, additional, Omigie, Efosa, additional, Onida, Sarah, additional, Padmanabhan, Sandosh, additional, Palmer, Tom, additional, Pasea, Laura, additional, Patel, Riyaz, additional, Payne, Rupert, additional, Pell, Jill, additional, Petitjean, Carmen, additional, Pherwani, Arun, additional, Pickrell, Owen, additional, Pierotti, Livia, additional, Pirmohamed, Munir, additional, Priedon, Rouven, additional, Prieto-Alhambra, Dani, additional, Proudfoot, Alastair, additional, Quinn, Terry, additional, Quint, Jennifer, additional, Raffetti, Elena, additional, Rahimi, Kazem, additional, Rao, Shishir, additional, Razieh, Cameron, additional, Roberts, Brian, additional, Rogers, Caroline, additional, Rossdale, Jennifer, additional, Salim, Safa, additional, Samani, Nilesh, additional, Schnier, Christian, additional, Schwartz, Roy, additional, Selby, David, additional, Seminog, Olena, additional, Shabnam, Sharmin, additional, Shah, Ajay, additional, Shelton, Jon, additional, Sheppard, James, additional, Sinha, Shubhra, additional, Skrypak, Mirek, additional, Slapkova, Martina, additional, Sleeman, Katherine, additional, Smith, Craig, additional, Sosenko, Filip, additional, Sperrin, Matthew, additional, Steeg, Sarah, additional, Sterne, Jonathan, additional, Stoica, Serban, additional, Sudell, Maria, additional, Sun, Luanluan, additional, Suseeladevi, Arun Karthikeyan, additional, Sweeting, Michael, additional, Sydes, Matt, additional, Takhar, Rohan, additional, Tang, Howard, additional, Thygesen, Johan, additional, Tilston, George, additional, Tochel, Claire, additional, Toit, Clea du, additional, Toms, Renin, additional, Torabi, Fatemeh, additional, Townson, Julia, additional, Tufail, Adnan, additional, Tungamirai, Tapiwa, additional, Varma, Susheel, additional, Vollmer, Sebastian, additional, Walker, Venexia, additional, Wang, Tianxiao, additional, Wang, Huan, additional, Warwick, Alasdair, additional, Watkinson, Ruth, additional, Watson, Harry, additional, Whiteley, William, additional, Whittaker, Hannah, additional, Wilde, Harry, additional, Wilkinson, Tim, additional, Williams, Gareth, additional, Williams, Michelle, additional, Williams, Richard, additional, Withnell, Eloise, additional, Wolfe, Charles, additional, Wright, Lucy, additional, Wu, Jinge, additional, Wu, Jianhua, additional, Yates, Tom, additional, Zaccardi, Francesco, additional, Zhang, Haoting, additional, Zhang, Huayu, additional, and Zuccolo, Luisa, additional

Published
2022
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40. 18F-Fluoride and 18F-Fluorodeoxyglucose Positron Emission Tomography After Transient Ischemic Attack or Minor Ischemic Stroke: Case–Control Study

Author

Vesey, Alex T., Jenkins, William S. A., Irkle, Agnese, Moss, Alastair, Sng, Greg, Forsythe, Rachael O., Clark, Tim, Roberts, Gemma, Fletcher, Alison, Lucatelli, Christophe, Rudd, James H. F., Davenport, Anthony P., Mills, Nicholas L., Al-Shahi Salman, Rustam, Dennis, Martin, Whiteley, William N., van Beek, Edwin J. R., Dweck, Marc R., and Newby, David E.

Published
2017
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43. Effects of Antiplatelet Therapy After Stroke Caused by Intracerebral Hemorrhage: Extended Follow-up of the RESTART Randomized Clinical Trial

Author

Al-Shahi Salman, Rustam, Dennis, Martin S, Sandercock, Peter A G, Sudlow, Cathie L M, Wardlaw, Joanna M, Whiteley, William N, Murray, Gordon D, Stephen, Jacqueline, Rodriguez, Aryelly, Lewis, Steff, Werring, David J, White, Phil M, RESTART Collaboration, and Rajkumar, Chakravarthi

Subjects
Male, medicine.medical_specialty, Randomization, law.invention, Randomized controlled trial, Fibrinolytic Agents, Interquartile range, law, Recurrence, Internal medicine, Antithrombotic, medicine, Online First, Humans, cardiovascular diseases, Stroke, Original Investigation, Aged, Cerebral Hemorrhage, Intracerebral hemorrhage, Aged, 80 and over, business.industry, Research, Hazard ratio, medicine.disease, Cerebrovascular Disorders, Female, Neurology (clinical), business, Comments, Fibrinolytic agent, Platelet Aggregation Inhibitors, Follow-Up Studies
Abstract

Key Points Question What are the long-term effects of antiplatelet therapy after stroke caused by intracerebral hemorrhage in patients who were in the pilot phase of the Restart or Stop Antithrombotics Randomized Trial? Findings In this randomized clinical trial of 537 participants with extended follow-up for a median total of 3.0 years (interquartile range, 2.0-5.0 years), the proportion of participants with intracerebral hemorrhage recurrence was 8.2% after allocation to start antiplatelet therapy and 9.3% without antiplatelet therapy, a nonsignificant difference. There were nonsignificantly fewer major vascular events among individuals in the group taking antiplatelet therapy vs the group avoiding antiplatelet therapy (26.8% vs 32.5%). Meaning After intracerebral hemorrhage associated with antithrombotic drug use, antiplatelet therapy appears to be safe., Importance The Restart or Stop Antithrombotics Randomized Trial (RESTART) found that antiplatelet therapy appeared to be safe up to 5 years after intracerebral hemorrhage (ICH) that had occurred during antithrombotic (antiplatelet or anticoagulant) therapy. Objectives To monitor adherence, increase duration of follow-up, and improve precision of estimates of the effects of antiplatelet therapy on recurrent ICH and major vascular events. Design, Setting and Participants From May 22, 2013, through May 31, 2018, this prospective, open, blinded end point, parallel-group randomized clinical trial studied 537 participants at 122 hospitals in the UK. Participants were individuals 18 years or older who had taken antithrombotic therapy for the prevention of occlusive vascular disease when they developed ICH, discontinued antithrombotic therapy, and survived for 24 hours. After initial follow-up ended on November 30, 2018, annual follow-up was extended until November 30, 2020, for a median of 3.0 years (interquartile range [IQR], 2.0-5.0 years) for the trial cohort. Interventions Computerized randomization that incorporated minimization allocated participants (1:1) to start or avoid antiplatelet therapy. Main Outcomes and Measures Participants were followed up for the primary outcome (recurrent symptomatic ICH) and secondary outcomes (all major vascular events) for up to 7 years. Data from all randomized participants were analyzed using Cox proportional hazards regression, adjusted for minimization covariates. Results A total of 537 patients (median age, 76.0 years; IQR, 69.0-82.0 years; 360 [67.0%] male; median time after ICH onset, 76.0 days; IQR, 29.0-146.0 days) were randomly allocated to start (n = 268) or avoid (n = 269 [1 withdrew]) antiplatelet therapy. The primary outcome of recurrent ICH affected 22 of 268 participants (8.2%) allocated to antiplatelet therapy compared with 25 of 268 participants (9.3%) allocated to avoid antiplatelet therapy (adjusted hazard ratio, 0.87; 95% CI, 0.49-1.55; P = .64). A major vascular event affected 72 participants (26.8%) allocated to antiplatelet therapy compared with 87 participants (32.5%) allocated to avoid antiplatelet therapy (hazard ratio, 0.79; 95% CI, 0.58-1.08; P = .14). Conclusions and Relevance Among patients with ICH who had previously taken antithrombotic therapy, this study found no statistically significant effect of antiplatelet therapy on recurrent ICH or all major vascular events. These findings provide physicians with some reassurance about the use of antiplatelet therapy after ICH if indicated for secondary prevention of major vascular events. Trial Registration isrctn.org Identifier: ISRCTN71907627, A follow-up of the Restart or Stop Antithrombotics Randomized Trial, this study further examines the long-term effects of antiplatelet therapy after stroke caused by intracerebral hemorrhage.

Published
2021

44. Effects of Alteplase for Acute Stroke on the Distribution of Functional Outcomes: A Pooled Analysis of 9 Trials

Author

Lees, Kennedy R., Emberson, Jonathan, Blackwell, Lisa, Bluhmki, Erich, Davis, Stephen M., Donnan, Geoffrey A., Grotta, James C., Kaste, Markku, von Kummer, Rüdiger, Lansberg, Maarten G., Lindley, Richard I., Lyden, Patrick, Murray, Gordon D., Sandercock, Peter A.G., Toni, Danilo, Toyoda, Kazunori, Wardlaw, Joanna M., Whiteley, William N., Baigent, Colin, Hacke, Werner, and Howard, George

Published
2016
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47. Alteplase for Acute Ischemic Stroke: Outcomes by Clinically Important Subgroups in the Third International Stroke Trial

Author

Lindley, Richard I., Wardlaw, Joanna M., Whiteley, William N., Cohen, Geoff, Blackwell, Lisa, Murray, Gordon D., Sandercock, Peter A.G., Baigent, Colin, Professor, Chadwick, David, Professor, Tyrrell, Pippa, Dr, Lowe, Gordon, Professor, Dennis, Martin, Professor, Innes, Karen, Ms, Goodare, Heather, Farrall, Andrew, von Kummer, Rüdiger, Cala, Lesley, von Heijne, Anders, Morris, Zoe, Adami, Alessandro, Peeters, Andre, Potter, Gillian, Brady, Nick, Collins, Rory, Professor, Bath, Philip, Professor, van Gijn, Jan, Professor, Gray, Richard, Professor, Hart, Robert, Professor, Yusuf, Salim, Professor, Muir, Keith, Hankey, Graeme J., Matz, Karl, Brainin, Michael, Peters, Andre, Gubitz, Gord, Phillips, Stephen, Ricci, Stefano, Arauz, Antonio, Berge, Eivind, Bruins Slot, Karsten, Czlonkowska, Anna, Kobayashi, Adam, Correia, Manuel, Lyrer, Phillippe, Engelter, Stefan, Murray, Veronica, Norrving, Bo, Terént, Andreas, Wester, Per, Venables, Graham, Innes, Karen, Clark, Alison, Perry, David, Soosay, Vera, Buchanan, David, Grant, Sheila, Sakka, Eleni, Drever, Jonathan, Walker, Pauli, Herath, Indee, Brown, Ann Leigh, Chmielnik, Paul, Armit, Christopher, Walton, Andrea, Hautvast, Mischa, Lewis, Steff, Heron, Graeme, Odusanya, Sylvia, Linksted, Pam, Kane, Ingrid, Sellar, Robin, White, Philip, Keston, Peter, Farrell, Andrew, Morris, Zoe, Miranda, Hector, Celani, Maria Grazia, Righetti, Enrico, Cenciarelli, Silvia, Mazzoli, Tatiana, Cantisani, Teresa Anna, Bembenek, Jan, and Isaakson, Eva

Published
2015
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