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1. Effect of second booster vaccinations and prior infection against SARS-CoV-2 in the UK SIREN healthcare worker cohort

Author

Lewis, Tracy, Bain, Steve, Thomas, Rebeccah, Geen, John, Pothecary, Carla, Cutler, Sean, Northfield, John, Price, Cathy, Tomlinson, Johanne, Knight, Sarah, Macnaughton, Emily, Watson, Ekaterina, Lazarus, Rajeka, Sinclair, Aaran, Galliford, Joanne, Masunda, Bridgett, Mahungu, Tabitha, Rodger, Alison, Hanison, Esther, Warren, Simon, Jain, Swati, Mirfenderesky, Mariyam, Mahabir, Natasha, Pritchard-Jones, Rowan, Wycherley, Diane, Gabriel, Claire, Matovu, Elijah, Bakker, Philippa, Guha, Simantee, Gormley, S., Pethick, James, Butt, Georgina, Pepper, Stacey, Bedford, Luke, Ridley, Paul, Democratis, Jane, Meda, Manjula, Chawla, Anu, Westwell, Fran, Kalakonda, Nagesh, Khanduri, Sheena, Doel, Allison, Pai, Sumita, Hacon, Christian, Nwaka, Davis, Moro, Veronica Mendez, Moody, A., Auckland, Cressida, Prince, Stephanie, de Silva, Thushan, Shulver, Helen, Shah, A., Jones, C., Subhro-Osuji, Banerjee, Houston, Angela, Planche, Tim, Booth, Martin, Duff, Christopher, Aeron-Thomas, Jonnie, Chaudhuri, Ray, Hilton, David, Jory, Hannah, Al-Khafaji, Zehra'a, Kemsley, Philippa, Longfellow, Ruth, Boss, David, Brake, Simon, Coke, Louise, Elumogo, Ngozi, Latham, Scott, Subudhi, Chinari, Hoad, Ina, Thomas, Claire, Chitalia, Nihil, Edmunds, Tracy, Ashby, Helen, Elliott, John, Wilkinson, Beverley, Rand, Abby, Thompson, Catherine, Agwuh, K., Grice, Anna, Moran, Kelly, Waykar, Vijayendra, Lester, Yvonne, Sach, Lauren, Court, Kathryn, White, Nikki, Favager, Clair, Holliday, Kyra, Harwood, Jayne, Payne, Brendan, Burns, Karen, Fothergill, Lynda, Arenas-Pinto, Alejandro, Severn, Abigail, Brown, Kerryanne, Gray, Katherine, Dare, Jane, Zheng, Qi, Hollinshead, Kathryn, Shorten, Robert, Roebuck, Alun, Holmes, Christopher, Wiselka, Martin, Faris, Barzo, Marsh, Liane, McAdam, Clare, Ditchfield, Lisa, Qazzafi, Zaman, Boyd, G., Wong, N., Brand, Sarah, Squires, Jack, Ashcroft, John, Rosario, Ismaelette Del, Howard, Joanne, Ward, Emma, Harrison, Gemma, Morgan, Joely, Corless, Claire, Penn, Ruth, Wong, Nick, Bagary, Manny, Starkova, Nadezda, Beekes, Mandy, Carnahan, Mandy, Khan, Shivani, Mackay, Shekoo, Lewis, Keneisha, Pickard, Graham, Dawson, Joy, Finlayson, Lauren, Cameron, Euan, Todd, Anne, Fagegaltier, Sebastien, Mavin, Sally, Cochrane, Alexandra, Gibson, Andrew, Donaldson, Sam, Templeton, Kate, Malcolm, Martin, Smith, Beth, Dhasmana, Devesh, Fowler, Susan, Ho, Antonia, Murphy, Michael, Beith, Claire, Patel, Manish, Boyd, Elizabeth, Irvine, Val, Grant, Alison, Temple-Purcell, Rebecca, Loughrey, Clodagh, Hanna, Elinor, Johnston, Frances, Boulos, Angel, Thompson, Fiona, Protaschik, Yuri, Regan, Susan, Donaghy, Tracy, O'Kane, Maurice, Akinbami, Omolola, Barbero, Paola, Brooks, Tim, Chand, Meera, Insalata, Ferdinando, Joshi, Palak, O'Connell, Anne-Marie, Ramsay, Mary, Saei, Ayoub, Zambon, Maria, Linley, Ezra, Tonge, Simon, Adaji, Enemona, Adebiyi, Omoyeni, Andrews, Nick, Conneely, Joanna, Conneely, Paul, Dunne, Angela, Dyer, Simone, Emmett, Hannah, Hettiarachchi, Nipunadi, Kapirial, Nishanthan, Khawam, Jameel, Monk, Edward, Russell, Sophie, Taylor-Kerr, Andrew, Timeyin, Jean, D'Arcangelo, Silvia, Rowe, Cathy, Semper, Amanda, Gallagher, Eileen, Kyffin, Robert, Cromey, Lisa, Areghan, Desmond, Bishop, Jennifer, Dembinsky, Melanie, Dobbie, Laura, Evans, Josie, Goldberg, David, Haahr, Lynne, Jorgenson, Annelysse, Matuluko, Ayodeji, Naismith, Laura, Nuryunarsih, Desy, Olaoye, Alexander, Plank, Caitlin, Price, Lesley, Sergenson, Nicole, Stewart, Sally, Telfer, Andrew, Weir, Jennifer, De Lacy, Ellen, Ellis, Yvette, Froude, Susannah, Stevens, Guy, Tyson, Linda, Dunachie, Susanna, Klenerman, Paul, Duncan, Chris, Payne, Rebecca, Turtle, Lance, Richter, Alex, De Silva, Thushan, Barnes, Eleanor, Wootton, Daniel, Galgut, Oliver, Heeney, Jonathan, Baxendale, Helen, Castillo-Olivares, Javier, Beale, Rupert, Carr, Edward, Barclay, Wendy, Moshe, Maya, Palmarini, Massimo, Willett, Brian, Baillie, John Kenneth, Evans, Jennie, Aquino, Erika, Kirwan, Peter D., Hall, Victoria J., Foulkes, Sarah, Otter, Ashley D., Munro, Katie, Sparkes, Dominic, Howells, Anna, Platt, Naomi, Broad, Jonathan, Crossman, David, Norman, Chris, Corrigan, Diane, Jackson, Christopher H., Cole, Michelle, Brown, Colin S., Atti, Ana, Islam, Jasmin, Presanis, Anne M., Charlett, Andre, De Angelis, Daniela, and Hopkins, Susan

Published
2024
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2. Effect of second booster vaccinations and prior infection against SARS-CoV-2 in the UK SIREN healthcare worker cohort

Author

Kirwan, Peter D., primary, Hall, Victoria J., additional, Foulkes, Sarah, additional, Otter, Ashley D., additional, Munro, Katie, additional, Sparkes, Dominic, additional, Howells, Anna, additional, Platt, Naomi, additional, Broad, Jonathan, additional, Crossman, David, additional, Norman, Chris, additional, Corrigan, Diane, additional, Jackson, Christopher H., additional, Cole, Michelle, additional, Brown, Colin S., additional, Atti, Ana, additional, Islam, Jasmin, additional, Presanis, Anne M., additional, Charlett, Andre, additional, De Angelis, Daniela, additional, Hopkins, Susan, additional, Lewis, Tracy, additional, Bain, Steve, additional, Thomas, Rebeccah, additional, Geen, John, additional, Pothecary, Carla, additional, Cutler, Sean, additional, Northfield, John, additional, Price, Cathy, additional, Tomlinson, Johanne, additional, Knight, Sarah, additional, Macnaughton, Emily, additional, Watson, Ekaterina, additional, Lazarus, Rajeka, additional, Sinclair, Aaran, additional, Galliford, Joanne, additional, Masunda, Bridgett, additional, Mahungu, Tabitha, additional, Rodger, Alison, additional, Hanison, Esther, additional, Warren, Simon, additional, Jain, Swati, additional, Mirfenderesky, Mariyam, additional, Mahabir, Natasha, additional, Pritchard-Jones, Rowan, additional, Wycherley, Diane, additional, Gabriel, Claire, additional, Matovu, Elijah, additional, Bakker, Philippa, additional, Guha, Simantee, additional, Gormley, S., additional, Pethick, James, additional, Butt, Georgina, additional, Pepper, Stacey, additional, Bedford, Luke, additional, Ridley, Paul, additional, Democratis, Jane, additional, Meda, Manjula, additional, Chawla, Anu, additional, Westwell, Fran, additional, Kalakonda, Nagesh, additional, Khanduri, Sheena, additional, Doel, Allison, additional, Pai, Sumita, additional, Hacon, Christian, additional, Nwaka, Davis, additional, Moro, Veronica Mendez, additional, Moody, A., additional, Auckland, Cressida, additional, Prince, Stephanie, additional, de Silva, Thushan, additional, Shulver, Helen, additional, Shah, A., additional, Jones, C., additional, Subhro-Osuji, Banerjee, additional, Houston, Angela, additional, Planche, Tim, additional, Booth, Martin, additional, Duff, Christopher, additional, Aeron-Thomas, Jonnie, additional, Chaudhuri, Ray, additional, Hilton, David, additional, Jory, Hannah, additional, Al-Khafaji, Zehra'a, additional, Kemsley, Philippa, additional, Longfellow, Ruth, additional, Boss, David, additional, Brake, Simon, additional, Coke, Louise, additional, Elumogo, Ngozi, additional, Latham, Scott, additional, Subudhi, Chinari, additional, Hoad, Ina, additional, Thomas, Claire, additional, Chitalia, Nihil, additional, Edmunds, Tracy, additional, Ashby, Helen, additional, Elliott, John, additional, Wilkinson, Beverley, additional, Rand, Abby, additional, Thompson, Catherine, additional, Agwuh, K., additional, Grice, Anna, additional, Moran, Kelly, additional, Waykar, Vijayendra, additional, Lester, Yvonne, additional, Sach, Lauren, additional, Court, Kathryn, additional, White, Nikki, additional, Favager, Clair, additional, Holliday, Kyra, additional, Harwood, Jayne, additional, Payne, Brendan, additional, Burns, Karen, additional, Fothergill, Lynda, additional, Arenas-Pinto, Alejandro, additional, Severn, Abigail, additional, Brown, Kerryanne, additional, Gray, Katherine, additional, Dare, Jane, additional, Zheng, Qi, additional, Hollinshead, Kathryn, additional, Shorten, Robert, additional, Roebuck, Alun, additional, Holmes, Christopher, additional, Wiselka, Martin, additional, Faris, Barzo, additional, Marsh, Liane, additional, McAdam, Clare, additional, Ditchfield, Lisa, additional, Qazzafi, Zaman, additional, Boyd, G., additional, Wong, N., additional, Brand, Sarah, additional, Squires, Jack, additional, Ashcroft, John, additional, Rosario, Ismaelette Del, additional, Howard, Joanne, additional, Ward, Emma, additional, Harrison, Gemma, additional, Morgan, Joely, additional, Corless, Claire, additional, Penn, Ruth, additional, Wong, Nick, additional, Bagary, Manny, additional, Starkova, Nadezda, additional, Beekes, Mandy, additional, Carnahan, Mandy, additional, Khan, Shivani, additional, Mackay, Shekoo, additional, Lewis, Keneisha, additional, Pickard, Graham, additional, Dawson, Joy, additional, Finlayson, Lauren, additional, Cameron, Euan, additional, Todd, Anne, additional, Fagegaltier, Sebastien, additional, Mavin, Sally, additional, Cochrane, Alexandra, additional, Gibson, Andrew, additional, Donaldson, Sam, additional, Templeton, Kate, additional, Malcolm, Martin, additional, Smith, Beth, additional, Dhasmana, Devesh, additional, Fowler, Susan, additional, Ho, Antonia, additional, Murphy, Michael, additional, Beith, Claire, additional, Patel, Manish, additional, Boyd, Elizabeth, additional, Irvine, Val, additional, Grant, Alison, additional, Temple-Purcell, Rebecca, additional, Loughrey, Clodagh, additional, Hanna, Elinor, additional, Johnston, Frances, additional, Boulos, Angel, additional, Thompson, Fiona, additional, Protaschik, Yuri, additional, Regan, Susan, additional, Donaghy, Tracy, additional, O'Kane, Maurice, additional, Akinbami, Omolola, additional, Barbero, Paola, additional, Brooks, Tim, additional, Chand, Meera, additional, Insalata, Ferdinando, additional, Joshi, Palak, additional, O'Connell, Anne-Marie, additional, Ramsay, Mary, additional, Saei, Ayoub, additional, Zambon, Maria, additional, Linley, Ezra, additional, Tonge, Simon, additional, Adaji, Enemona, additional, Adebiyi, Omoyeni, additional, Andrews, Nick, additional, Conneely, Joanna, additional, Conneely, Paul, additional, Dunne, Angela, additional, Dyer, Simone, additional, Emmett, Hannah, additional, Hettiarachchi, Nipunadi, additional, Kapirial, Nishanthan, additional, Khawam, Jameel, additional, Monk, Edward, additional, Russell, Sophie, additional, Taylor-Kerr, Andrew, additional, Timeyin, Jean, additional, D'Arcangelo, Silvia, additional, Rowe, Cathy, additional, Semper, Amanda, additional, Gallagher, Eileen, additional, Kyffin, Robert, additional, Cromey, Lisa, additional, Areghan, Desmond, additional, Bishop, Jennifer, additional, Dembinsky, Melanie, additional, Dobbie, Laura, additional, Evans, Josie, additional, Goldberg, David, additional, Haahr, Lynne, additional, Jorgenson, Annelysse, additional, Matuluko, Ayodeji, additional, Naismith, Laura, additional, Nuryunarsih, Desy, additional, Olaoye, Alexander, additional, Plank, Caitlin, additional, Price, Lesley, additional, Sergenson, Nicole, additional, Stewart, Sally, additional, Telfer, Andrew, additional, Weir, Jennifer, additional, De Lacy, Ellen, additional, Ellis, Yvette, additional, Froude, Susannah, additional, Stevens, Guy, additional, Tyson, Linda, additional, Dunachie, Susanna, additional, Klenerman, Paul, additional, Duncan, Chris, additional, Payne, Rebecca, additional, Turtle, Lance, additional, Richter, Alex, additional, De Silva, Thushan, additional, Barnes, Eleanor, additional, Wootton, Daniel, additional, Galgut, Oliver, additional, Heeney, Jonathan, additional, Baxendale, Helen, additional, Castillo-Olivares, Javier, additional, Beale, Rupert, additional, Carr, Edward, additional, Barclay, Wendy, additional, Moshe, Maya, additional, Palmarini, Massimo, additional, Willett, Brian, additional, Baillie, John Kenneth, additional, Evans, Jennie, additional, and Aquino, Erika, additional

Published
2024
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4. Using trained dogs and organic semi-conducting sensors to identify asymptomatic and mild SARS-CoV-2 infections: an observational study

Author

Guest, Claire, Dewhirst, Sarah Y, Lindsay, Steve W, Allen, David J, Aziz, Sophie, Baerenbold, Oliver, Bradley, John, Chabildas, Unnati, Chen-Hussey, Vanessa, Clifford, Samuel, Cottis, Luke, Dennehy, Jessica, Foley, Erin, Gezan, Salvador A, Gibson, Tim, Greaves, Courtenay K, Kleinschmidt, Immo, Lambert, Sébastien, Last, Anna, Morant, Steve, Parker, Josephine E A, Pickett, John, Quilty, Billy J, Rooney, Ann, Shah, Manil, Somerville, Mark, Squires, Chelci, Walker, Martin, Logan, James G, Jones, Robert, Assis, Ana, Borthwick, Ewan, Caton, Laura, Edwards, Rachel, Heal, Janette, Hill, David, Jahan, Nazifa, Johnson, Cecelia, Kaye, Angela, Kirkpatrick, Emily, Kisha, Sarah, Ledeatte Williams, Zaena, Moar, Robert, Owonibi, Tolulope, Purcell, Benjamin, Rixson, Christopher, Spencer, Freya, Stefanidis, Anastasios, Stewart, Sophie, Tytheridge, Scott, Wakley, Sian, Wildman, Shanice, Aziz, Catherine, Care, Helen, Curtis, Emily, Dowse, Claire, Makepeace, Alan, Oultram, Sally-Anne, Smith, Jayde, Shenton, Fiona, Hutchins, Harry, Mart, Robert, Cartwright, Jo-anne, Forsey, Miranda, Goodsell, Kerry, Kittridge, Lauren, Nicholson, Anne, Ramos, Angelo, Ritches, Joanne, Setty, Niranjan, Vertue, Mark, Bergstrom, Malin, Chaudhary, Zain, De Wilton, Angus, Gaskell, Kate, Houlihan, Catherine, Jones, Imogen, Margaritis, Marios, Miralhes, Patricia, Owens, Leah, Rampling, Tommy, Rickman, Hannah, Boffito, Marta, Fernandez, Candida, Cotterell, Bryony, Guerdette, Anne-Marie, Tsaknis, George, Turns, Margaret, Walsh, Joanne, Frankland, Lisa, West, Raha, Holland, Maureen, Keenan, Natalie, Wassall, Helen, Young, Megan, Rangeley, Jade, Saalmink, Gwendolyn, Adlakha, Sanjay, Buckley, Philip, Allsop, Lynne, Smith, Susan, Sowter, Donna, Campbell, Alison, Jones, Julie, Laird, Steve, O’Toole, Sarah, Ryan, Courteney, Evans, Jessica, Rand, James, Schumacher, Natasha, Hazelton, Tracey, Dodgson, Andrew, Glasgow, Susannah, Kadiu, Denise, Lopuszansky, Orianne, Oommen, Anu, Prabhu, Joshi, Pursell, Molly, Turner, Jane, Walton, Hollie, Andrews, Robert, Cruickshank, Irena, Thompson, Catherine, Wainwright, Tania, Roebuck, Alun, Lawrence, Tara, Netherton, Kimberley, Hewitt, Claire, Shephardson, Sarah, Crasto, Winston Andrew, Lake, Judith, Musanhu, Rosemary, Walker, Rebecca, Burns, Karen, Higham, Andrew, Le Bas, Julie, Mackenzie, Nicola, Thatcher, Hilary, Beadle, Shannen, Buckley, Sarah, Castle, Gail, Fletcher, Aimee, Holbrook, Sara, Kane, Patricia, Lindley, Kate, Lowry, Tracey, Lupton, Stephanie, Oddy, Sharon, Slater, Lynda, Sylvester, Martin, Agwuh, Kenneth, Maxwell, Veronica, Ryder, Stephen, Topham, Kirsty, Egbuniwe, Obi, Matthews, Rebecca, Arenas-Pinto, Alejandro, Prymas, Paulina, Severn, Abigail, Shaw, Amber, Begum, Safia, Lenton, Daniel, Scriven, James, Leeman, Lucy, Rudge, Karen, Storr, Emma, Alvarez, Ana, Forster, Kate, Hind, Daniel, Cook, Natalie, Peeling, Rosanna, Carey, Peter, Wilson, Anne, and Davis, Jane

Subjects
Volatile Organic Compounds, Dogs, SARS-CoV-2, fungi, Animals, COVID-19, Humans, Mass Screening, General Medicine, Asymptomatic Infections, Sensitivity and Specificity
Abstract

Background A rapid, accurate, non-invasive diagnostic screen is needed to identify people with SARS-CoV-2 infection. We investigated whether organic semi-conducting (OSC) sensors and trained dogs could distinguish between people infected with asymptomatic or mild symptoms, and uninfected individuals, and the impact of screening at ports-of-entry. Methods Odour samples were collected from adults, and SARS-CoV-2 infection status confirmed using RT-PCR. OSC sensors captured the volatile organic compound (VOC) profile of odour samples. Trained dogs were tested in a double-blind trial to determine their ability to detect differences in VOCs between infected and uninfected individuals, with sensitivity and specificity as the primary outcome. Mathematical modelling was used to investigate the impact of bio-detection dogs for screening. Results About, 3921 adults were enrolled in the study and odour samples collected from 1097 SARS-CoV-2 infected and 2031 uninfected individuals. OSC sensors were able to distinguish between SARS-CoV-2 infected individuals and uninfected, with sensitivity from 98% (95% CI 95–100) to 100% and specificity from 99% (95% CI 97–100) to 100%. Six dogs were able to distinguish between samples with sensitivity ranging from 82% (95% CI 76–87) to 94% (95% CI 89–98) and specificity ranging from 76% (95% CI 70–82) to 92% (95% CI 88–96). Mathematical modelling suggests that dog screening plus a confirmatory PCR test could detect up to 89% of SARS-CoV-2 infections, averting up to 2.2 times as much transmission compared to isolation of symptomatic individuals only. Conclusions People infected with SARS-CoV-2, with asymptomatic or mild symptoms, have a distinct odour that can be identified by sensors and trained dogs with a high degree of accuracy. Odour-based diagnostics using sensors and/or dogs may prove a rapid and effective tool for screening large numbers of people. Trial Registration NCT04509713 (clinicaltrials.gov).

Published
2022

5. Follicle‐stimulating hormone in postmenopausal women living with HIV: a prevalence study

Author

Tariq, Shema, primary, Okhai, Hajra, additional, Severn, Abigail, additional, Sabin, Caroline A., additional, Burns, Fiona, additional, Gilson, Richard, additional, Fox, Julie, additional, Gilleece, Yvonne, additional, Mackie, Nicola E., additional, Post, Frank A., additional, Reeves, Iain, additional, Rosenvinge, Melanie, additional, Sullivan, Ann, additional, Ustianowski, Andrew, additional, and Miller, Robert F., additional

Published
2021
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6. Pandemic peak SARS-CoV-2 infection and seroconversion rates in London frontline health-care workers

Author

Houlihan, Catherine F, primary, Vora, Nina, additional, Byrne, Thomas, additional, Lewer, Dan, additional, Kelly, Gavin, additional, Heaney, Judith, additional, Gandhi, Sonia, additional, Spyer, Moira J, additional, Beale, Rupert, additional, Cherepanov, Peter, additional, Moore, David, additional, Gilson, Richard, additional, Gamblin, Steve, additional, Kassiotis, George, additional, McCoy, Laura E, additional, Swanton, Charles, additional, Hayward, Andrew, additional, Nastouli, Eleni, additional, Aitken, Jim, additional, Allen, Zoe, additional, Ambler, Rachel, additional, Ambrose, Karen, additional, Ashton, Emma, additional, Avola, Alida, additional, Balakrishnan, Samutheswari, additional, Barns-Jenkins, Caitlin, additional, Barr, Genevieve, additional, Barrell, Sam, additional, Basu, Souradeep, additional, Beesley, Clare, additional, Bhardwaj, Nisha, additional, Bibi, Shahnaz, additional, Bineva-Todd, Ganka, additional, Biswas, Dhruva, additional, Blackman, Michael J, additional, Bonnet, Dominique, additional, Bowker, Faye, additional, Broncel, Malgorzata, additional, Brooks, Claire, additional, Buck, Michael D, additional, Buckton, Andrew, additional, Budd, Timothy, additional, Burrell, Alana, additional, Busby, Louise, additional, Bussi, Claudio, additional, Butterworth, Simon, additional, Byrne, Fiona, additional, Byrne, Richard, additional, Caidan, Simon, additional, Campbell, Joanna, additional, Canton, Johnathan, additional, Cardoso, Ana, additional, Carter, Nick, additional, Carvalho, Luiz, additional, Carzaniga, Raffaella, additional, Chandler, Natalie, additional, Chen, Qu, additional, Churchward, Laura, additional, Clark, Graham, additional, Clayton, Bobbi, additional, Cobolli Gigli, Clementina, additional, Collins, Zena, additional, Cottrell, Sally, additional, Crawford, Margaret, additional, Cubitt, Laura, additional, Cullup, Tom, additional, Davies, Heledd, additional, Davis, Patrick, additional, Davison, Dara, additional, D'Avola, Annalisa, additional, Dearing, Vicky, additional, Debaisieux, Solene, additional, Diaz-Romero, Monica, additional, Dibbs, Alison, additional, Diring, Jessica, additional, Driscoll, Paul C, additional, Earl, Christopher, additional, Edwards, Amelia, additional, Ekin, Chris, additional, Evangelopoulos, Dimitrios, additional, Faraway, Rupert, additional, Fearns, Antony, additional, Ferron, Aaron, additional, Fidanis, Efthymios, additional, Fitz, Dan, additional, Fleming, James, additional, Frederico, Bruno, additional, Gaiba, Alessandra, additional, Gait, Anthony, additional, Gaul, Liam, additional, Golding, Helen M, additional, Goldman, Jacki, additional, Goldstone, Robert, additional, Gomez Dominguez, Belen, additional, Gong, Hui, additional, Grant, Paul R, additional, Greco, Maria, additional, Grobler, Mariana, additional, Guedan, Anabel, additional, Gutierrez, Maximiliano G, additional, Hackett, Fiona, additional, Hall, Ross, additional, Halldorsson, Steinar, additional, Harris, Suzanne, additional, Hashim, Sugera, additional, Healy, Lyn, additional, Herbst, Susanne, additional, Hewitt, Graeme, additional, Higgins, Theresa, additional, Hindmarsh, Steve, additional, Hirani, Rajnika, additional, Hope, Joshua, additional, Horton, Elizabeth, additional, Hoskins, Beth, additional, Houlihan, Catherine F, additional, Howell, Michael, additional, Howitt, Louise, additional, Hoyle, Jacqueline, additional, Htun, Mint R, additional, Hubank, Michael, additional, Huerga Encabo, Hector, additional, Hughes, Deborah, additional, Hughes, Jane, additional, Huseynova, Almaz, additional, Hwang, Ming-Shih, additional, Instrell, Rachael, additional, Jackson, Deborah, additional, Jamal-Hanjani, Mariam, additional, Jenkins, Lucy, additional, Jiang, Ming, additional, Johnson, Mark, additional, Jones, Leigh, additional, Kanu, Nnennaya, additional, Kiely, Louise, additional, King Spert Teixeira, Anastacio, additional, Kirk, Stuart, additional, Kjaer, Svend, additional, Knuepfer, Ellen, additional, Komarov, Nikita, additional, Kotzampaltiris, Paul, additional, Kousis, Konstantinos, additional, Krylova, Tammy, additional, Kucharska, Ania, additional, Labrum, Robyn, additional, Lambe, Catherine, additional, Lappin, Michelle, additional, Lee, Stacey-Ann, additional, Levett, Andrew, additional, Levett, Lisa, additional, Levi, Marcel, additional, Liu, Hon-Wing, additional, Loughlin, Sam, additional, Lu, Wei-Ting, additional, MacRae, James I, additional, Madoo, Akshay, additional, Marczak, Julie A, additional, Martensson, Mimmi, additional, Martinez, Thomas, additional, Marzook, Bishara, additional, Matthews, John, additional, Matz, Joachim M, additional, McCall, Samuel, additional, McKay, Fiona, additional, McNamara, Edel C, additional, Minutti, Carlos M, additional, Mistry, Gita, additional, Molina-Arcas, Miriam, additional, Montaner, Beatriz, additional, Montgomery, Kylie, additional, Moore, Catherine, additional, Moraiti, Anastasia, additional, Moreira-Teixeira, Lucia, additional, Mukherjee, Joyita, additional, Naceur-Lombardelli, Cristina, additional, Nelson, Aileen, additional, Nicod, Jerome, additional, Nightingale, Luke, additional, Nofal, Stephanie, additional, Nurse, Paul, additional, Nutan, Savita, additional, Oedekoven, Caroline, additional, O'Garra, Anne, additional, O'Leary, Jean D, additional, Olsen, Jessica, additional, O'Neill, Olga, additional, Ordonez Suarez, Paula, additional, O'Reilly, Nicola, additional, Osborne, Neil, additional, Pabari, Amar, additional, Pajak, Aleksandra, additional, Papayannopoulos, Venizelos, additional, Patel, Namita, additional, Patel, Yogen, additional, Paun, Oana, additional, Peat, Nigel, additional, Peces-Barba Castano, Laura, additional, Perez Caballero, Ana, additional, Perez-Lloret, Jimena, additional, Perrault, Magali S, additional, Perrin, Abigail, additional, Poh, Roy, additional, Poirier, Enzo Z, additional, Polke, James M, additional, Pollitt, Marc, additional, Prieto-Godino, Lucia, additional, Proust, Alize, additional, Shah Punatar, Rajvee, additional, Puvirajasinghe, Clinda, additional, Queval, Christophe, additional, Ramachandran, Vijaya, additional, Ramaprasad, Abhinay, additional, Ratcliffe, Peter, additional, Reed, Laura, additional, Reis e Sousa, Caetano, additional, Richardson, Kayleigh, additional, Ridewood, Sophie, additional, Roberts, Rowenna, additional, Rodgers, Angela, additional, Romero Clavijo, Pablo, additional, Rosa, Annachiara, additional, Rossi, Alice, additional, Roustan, Chloe, additional, Rowan, Andrew, additional, Sahai, Erik, additional, Sait, Aaron, additional, Sala, Katarzyna, additional, Sanderson, Theo, additional, Santucci, Pierre, additional, Sardar, Fatima, additional, Sateriale, Adam, additional, Saunders, Jill A, additional, Sawyer, Chelsea, additional, Schlott, Anja, additional, Schweighoffer, Edina, additional, Segura-Bayona, Sandra, additional, Shaw, Joe, additional, Shin, Gee Yen, additional, Silva Dos Santos, Mariana, additional, Silvestre, Margaux, additional, Singer, Matthew, additional, Snell, Daniel M, additional, Song, Ok-Ryul, additional, Steel, Louisa, additional, Strange, Amy, additional, Sullivan, Adrienne E, additional, Tan, Michele SY, additional, Tautz-Davis, Zoe H, additional, Taylor, Effie, additional, Taylor, Gunes, additional, Taylor, Harriet B, additional, Taylor-Beadling, Alison, additional, Teixeira Subtil, Fernanda, additional, Terré Torras, Berta, additional, Toolan-Kerr, Patrick, additional, Torelli, Francesca, additional, Toteva, Tea, additional, Treeck, Moritz, additional, Trojer, Hadija, additional, Tsai, Ming-Han C, additional, Turner, James MA, additional, Turner, Melanie, additional, Ule, Jernej, additional, Ulferts, Rachel, additional, Vanloo, Sharon P, additional, Veeriah, Selvaraju, additional, Venkatesan, Subramanian, additional, Vousden, Karen, additional, Wack, Andreas, additional, Walder, Claire, additional, Walker, Philip A, additional, Wang, Yiran, additional, Ward, Sophia, additional, Wenman, Catharina, additional, Wiliams, Luke, additional, Williams, Matthew J, additional, Wong, Wai Keong, additional, Wright, Joshua, additional, Wu, Mary, additional, Wynne, Lauren, additional, Xiang, Zheng, additional, Yap, Melvyn, additional, Zagalak, Julian A, additional, Zecchin, Davide, additional, Zillwood, Rachel, additional, Matthews, Rebecca, additional, Severn, Abigail, additional, Adam, Sajida, additional, Enfield, Louise, additional, McBride, Angela, additional, Gärtner, Kathleen, additional, Edwards, Sarah, additional, Lorencatto, Fabiana, additional, Michie, Susan, additional, Manley, Ed, additional, Shahmanesh, Maryam, additional, Lukha, Hinal, additional, Prymas, Paulina, additional, McBain, Hazel, additional, Shortman, Robert, additional, Wood, Leigh, additional, Davies, Claudia, additional, Williams, Bethany, additional, Ng, Kevin W, additional, Cornish, Georgina H, additional, Faulkner, Nikhil, additional, Riddell, Andrew, additional, Hobson, Philip, additional, Agua-Doce, Ana, additional, Bartolovic, Kerol, additional, Russell, Emma, additional, Carr, Lotte, additional, Sanchez, Emilie, additional, Frampton, Daniel, additional, Byott, Matthew, additional, Paraskevopoulou, Stavroula M, additional, Crayton, Elise, additional, Meyer, Carly, additional, Gkouleli, Triantafylia, additional, Stoltenberg, Andrea, additional, Ranieri, Veronica, additional, Byrne, Tom, additional, Roberts, Fiona, additional, and Hatipoglu, Emine, additional

Published
2020
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7. SARS-CoV-2 virus and antibodies in front-line Health Care Workers in an acute hospital in London: preliminary results from a longitudinal study

Author

Houlihan, Catherine F, primary, Vora, Nina, additional, Byrne, Thomas, additional, Lewer, Dan, additional, Heaney, Judith, additional, Moore, David A., additional, Matthews, Rebecca, additional, Adam, Sajida, additional, Enfield, Louise, additional, Severn, Abigail, additional, McBride, Angela, additional, Spyer, Moira, additional, Beale, Rupert, additional, Cherepanov, Peter, additional, Gaertner, Kathleen, additional, Edwards, Sarah, additional, Shahmanesh, Maryam, additional, Ng, Kevin, additional, Faulkner, Nikhil, additional, Cornish, Georgina, additional, Walker, Naomi, additional, Michie, Susan, additional, Manley, Ed, additional, Lorencatto, Fabiana, additional, Gilson, Richard, additional, Gandhi, Sonia, additional, Gamblin, Steve, additional, Kassiotis, George, additional, McCoy, Laura E, additional, Swanton, Charles, additional, Hayward, Andrew, additional, and Nastouli, Eleni, additional

Published
2020
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8. Follicle‐stimulating hormone in postmenopausal women living with HIV: a prevalence study.

Author

Tariq, Shema, Okhai, Hajra, Severn, Abigail, Sabin, Caroline A., Burns, Fiona, Gilson, Richard, Fox, Julie, Gilleece, Yvonne, Mackie, Nicola E., Post, Frank A., Reeves, Iain, Rosenvinge, Melanie, Sullivan, Ann, Ustianowski, Andrew, and Miller, Robert F.

Subjects
HIV-positive persons, FOLLICLE-stimulating hormone, CROSS-sectional method, WOMEN, POSTMENOPAUSE, DESCRIPTIVE statistics, DATA analysis software
Abstract

Objectives: We examined follicle‐stimulating hormone (FSH) levels in women living with HIV aged > 45 reporting ≥ 12 months' amenorrhoea, and investigated correlation with menopausal symptoms. Methods: A cross‐sectional substudy of 85 women from the Positive Transitions through the Menopause (PRIME) Study who reported irregular periods at entry into the PRIME Study and ≥ 12 months' amenorrhoea at recruitment into this substudy. Serum FSH was supplemented with clinical data and menopausal symptom assessment. Serum FSH > 30 mIU/mL was defined as consistent with postmenopausal status. Associations between FSH and menopausal symptom severity were assessed using Pearson's correlation and the Kruskal–Wallis test. Results: Median age was 53 years [interquartile range (IQR): 51–55]; all were on antiretroviral therapy, three‐quarters (n = 65) had a CD4 T‐cell count > 500 cells/μL and 91.8% (n = 78) had an HIV viral load (VL) < 50 copies/mL. Median FSH was 65.9 mIU/mL (IQR: 49.1–78.6). Only four women (4.7%) had FSH ≤ 30 mIU/mL; none reported smoking or drug use, all had CD4 T‐cell count ≥ 200 cells/μL, and one had viral load (VL) ≥ 50 copies/mL. Median body mass index (BMI) was elevated compared with women with FSH > 30 mIU/mL (40.8 vs. 30.5 kg/m2). Over a quarter (28.2%) reported severe menopausal symptoms, with no correlation between FSH and severity of menopausal symptoms (p = 0.21), or hot flushes (p = 0.37). Conclusions: Four women in this small substudy had low FSH despite being amenorrhoeic; all had BMI ≥ 35 kg/m2. We found that 95% of women with HIV aged > 45 years reporting ≥ 12 months' amenorrhoea had elevated FSH, suggesting that menopausal status can be ascertained from menstrual history alone in this group. [ABSTRACT FROM AUTHOR]

Published
2022
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9. Depression, lifestyle factors and cognitive function in people living with HIV and comparable HIV-negative controls

Author

De Francesco, D., Underwood, J., Bagkeris, E., Boffito, M., Post, F. A., Mallon, P. W. G., Vera, J. H., Williams, I., Anderson, J., Johnson, M., Sabin, C. A., Winston, A., Babalis, Daphne, Boffito, Marta, Burgess, Laura, Mallon, Paddy, Sabin, Caroline, Sachikonye, Memory, Winston, Alan, Asboe, David, Garvey, Lucy, Pozniak, Anton, Clarke, Amanda, Vera, Jaime, Bexley, Andrew, Richardson, Celia, Kirk, Sarah, Gleig, Rebecca, Bracchi, Margherita, Pagani, Nicole, Cerrone, Maddalena, Bradshaw, Daniel, Ferretti, Francesca, Higgs, Chris, Seah, Elisha, Fletcher, Stephen, Anthonipillai, Michelle, Moyes, Ashley, Deats, Katie, Syed, Irtiza, Matthews, Clive, Fernando, Peter, Chiwome, Chido, Hardwick, Shane, Anderson, Jane, Mguni, Sifiso, Clark, Rebecca, Nevin-Dolan, Rhiannon, Pelluri, Sambasivarao, Post, Frank, Campbell, Lucy, Yurdakul, Selin, Okumu, Sara, Pollard, Louise, Santana-Suarez, Beatriz, Macken, Alan, Ghavani-Kia, Bijan, Maher, Joanne, Byrne, Maria, Flaherty, Ailbhe, Babu, Sumesh, Otiko, Damilola, Phillips, Laura, Laverick, Rosanna, Beynon, Michelle, Salz, Anna-Lena, Severn, Abigail, Tembo, Lavender, Stott, Matthew, McDonald, Linda, Dransfield, Felix, Whitehouse, Andrew, Ngwu, Nnenna, Hemat, Nargis, Jones, Martin, Carroll, Anne, Kinloch, Sabine, Youle, Mike, and Madge, Sara

Subjects
0301 basic medicine, Adult, Male, Substance-Related Disorders, HIV Infections, Hashish, RC0109, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Cognition, cognitive disorder, medicine, Humans, Pharmacology (medical), 030212 general & internal medicine, Effects of sleep deprivation on cognitive performance, people living with HIV, Life Style, Depression (differential diagnoses), cognitive function, Aged, Original Research, Depressive Disorder, business.industry, Health Policy, Cognitive disorder, HIV, Middle Aged, medicine.disease, Recreational drug use, 030112 virology, Mental health, Patient Health Questionnaire, Infectious Diseases, Cross-Sectional Studies, HIV‐associated neurocognitive disorders, depression, Female, business, medicine.drug, Demography
Abstract

Objectives\ud We investigated whether differences in cognitive performance between people living with HIV (PLWH) and comparable HIV‐negative people were mediated or moderated by depressive symptoms and lifestyle factors.\ud \ud Methods\ud A cross‐sectional study of 637 ‘older’ PLWH aged ≥ 50 years, 340 ‘younger’ PLWH aged < 50 years and 276 demographically matched HIV‐negative controls aged ≥ 50 years enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study was performed. Cognitive function was assessed using a computerized battery (CogState). Scores were standardized into Z‐scores [mean = 0; standard deviation (SD) = 1] and averaged to obtain a global Z‐score. Depressive symptoms were evaluated via the Patient Health Questionnaire (PHQ‐9). Differences between the three groups and the effects of depression, sociodemographic factors and lifestyle factors on cognitive performance were evaluated using median regression. All analyses accounted for age, gender, ethnicity and level of education.\ud \ud Results\ud After adjustment for sociodemographic factors, older and younger PLWH had poorer overall cognitive scores than older HIV‐negative controls (P < 0.001 and P = 0.006, respectively). Moderate or severe depressive symptoms were more prevalent in both older (27%; P < 0.001) and younger (21%; P < 0.001) PLWH compared with controls (8%). Depressive symptoms (P < 0.001) and use of hashish (P = 0.01) were associated with lower cognitive function; alcohol consumption (P = 0.02) was associated with better cognitive scores. After further adjustment for these factors, the difference between older PLWH and HIV‐negative controls was no longer significant (P = 0.08), while that between younger PLWH and older HIV‐negative controls remained significant (P = 0.01).\ud \ud Conclusions\ud Poorer cognitive performances in PLWH compared with HIV‐negative individuals were, in part, mediated by the greater prevalence of depressive symptoms and recreational drug use reported by PLWH.

Published
2019

10. Level of agreement between frequently used cardiovascular risk calculators in people living with HIV

Author

Dhillon, S., Sabin, C. A., Alagaratnam, J., Bagkeris, E., Post, F. A., Boffito, M., Anderson, J., Vera, J., Williams, I., Johnson, M., Sachikonye, M., Babalis, D., Mallon, P. W., Winston, A., Ndoutoumou, Amalia, Post, Frank, Asboe, David, Garvey, Lucy, Pozniak, Anton, Clarke, Amanda, Bexley, Andrew, Richardson, Celia, Kirk, Sarah, Gleig, Rebecca, Bracchi, Margherita, Pagani, Nicole, Cerrone, Maddalena, Bradshaw, Daniel, Ferretti, Francesca, Higgs, Chris, Seah, Elisha, Fletcher, Stephen, Anthonipillai, Michelle, Moyes, Ashley, Deats, Katie, Syed, Irtiza, Matthews, Clive, Fernando, Peter, Chiwome, Chido, Hardwick, Shane, Anderson, Jane, Mguni, Sifiso, Clark, Rebecca, Nevin-Dolan, Rhiannon, Pelluri, Sambasivarao, Campbell, Lucy, Yurdakul, Selin, Okumu, Sara, Pollard, Louise, Santana-Suarez, Beatriz, Mallon, Paddy, Macken, Alan, Ghavani-Kia, Bijan, Maher, Joanne, Byrne, Maria, Flaherty, Ailbhe, Babu, Sumesh, Williams, Ian, Otiko, Damilola, Phillips, Laura, Laverick, Rosanna, Beynon, Michelle, Salz, Anna-Lena, Severn, Abigail, Winston, Alan, Underwood, Jonathan, Tembo, Lavender, Stott, Matthew, McDonald, Linda, Dransfield, Felix, Whitehouse, Andrew, Burgess, Laura, Babalis, Daphne, Johnson, Margaret, Ngwu, Nnenna, Hemat, Nargis, Jones, Martin, Carroll, Anne, Kinloch, Sabine, Youle, Mike, Madge, Sara, Sabin, Caroline, De Francesco, Davide, and Bagkeris, Emmanouil

Subjects
0301 basic medicine, Male, medicine.medical_specialty, Cvd risk, Human immunodeficiency virus (HIV), HIV Infections, medicine.disease_cause, Risk Assessment, Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) risk score, Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study, 03 medical and health sciences, 0302 clinical medicine, Interquartile range, Virology, Internal medicine, medicine, Clinical endpoint, Humans, Pharmacology (medical), 030212 general & internal medicine, Prospective Studies, Adverse effect, Framingham, Framingham Risk Score, business.industry, Health Policy, HIV, 1103 Clinical Sciences, Middle Aged, 030112 virology, QRISK2, United Kingdom, Infectious Diseases, Cardiovascular Diseases, cardiovascular risk prediction, Female, business, agreement, Kappa, Algorithms
Abstract

Objectives\ud\udThe aim of the study was to describe agreement between the QRISK2, Framingham and Data Collection on Adverse Events of Anti‐HIV Drugs (D:A:D) cardiovascular disease (CVD) risk calculators in a large UK study of people living with HIV (PLWH).\ud\ud\udMethods\ud\udPLWH enrolled in the Pharmacokinetic and Clinical Observations in People over Fifty (POPPY) study without a prior CVD event were included in this study. QRISK2, Framingham CVD and the full and reduced D:A:D CVD scores were calculated; participants were stratified into ‘low’ (< 10%), ‘intermediate’ (10–20%) and ‘high’ (> 20%) categories for each. Agreement between scores was assessed using weighted kappas and Bland–Altman plots.\ud\udResults\ud\udThe 730 included participants were predominantly male (636; 87.1%) and of white ethnicity (645; 88.5%), with a median age of 53 [interquartile range (IQR) 49–59] years. The median calculated 10‐year CVD risk was 11.9% (IQR 6.8–18.4%), 8.9% (IQR 4.6–15.0%), 8.5% (IQR 4.8–14.6%) and 6.9% (IQR 4.1–11.1%) when using the Framingham, QRISK2, and full and reduced D:A:D scores, respectively. Agreement between the different scores was generally moderate, with the highest level of agreement being between the Framingham and QRISK2 scores (weighted kappa = 0.65) but with most other kappa coefficients in the 0.50–0.60 range.\ud\ud\udConclusions\ud\udEstimates of predicted 10‐year CVD risk obtained with commonly used CVD risk prediction tools demonstrate, in general, only moderate agreement among PLWH in the UK. While further validation with clinical endpoints is required, our findings suggest that care should be taken when interpreting any score alone.

Published
2019

11. Estimating the effectiveness of routine asymptomatic PCR testing at different frequencies for the detection of SARS-CoV-2 infections.

Author

Hellewell, Joel, Russell, Timothy W., The SAFER Investigators and Field Study Team, Matthews, Rebecca, Severn, Abigail, Adam, Sajida, Enfield, Louise, McBride, Angela, Gärtner, Kathleen, Edwards, Sarah, Lorencatto, Fabiana, Michie, Susan, Manley, Ed, Shahmanesh, Maryam, Lukha, Hinal, Prymas, Paulina, McBain, Hazel, Shortman, Robert, Wood, Leigh, and Davies, Claudia

Subjects
HOSPITAL medical staff, SARS-CoV-2, INFECTION, HOME health aides, MEDICAL personnel
Abstract

Background: Routine asymptomatic testing using RT-PCR of people who interact with vulnerable populations, such as medical staff in hospitals or care workers in care homes, has been employed to help prevent outbreaks among vulnerable populations. Although the peak sensitivity of RT-PCR can be high, the probability of detecting an infection will vary throughout the course of an infection. The effectiveness of routine asymptomatic testing will therefore depend on testing frequency and how PCR detection varies over time. Methods: We fitted a Bayesian statistical model to a dataset of twice weekly PCR tests of UK healthcare workers performed by self-administered nasopharyngeal swab, regardless of symptoms. We jointly estimated times of infection and the probability of a positive PCR test over time following infection; we then compared asymptomatic testing strategies by calculating the probability that a symptomatic infection is detected before symptom onset and the probability that an asymptomatic infection is detected within 7 days of infection. Results: We estimated that the probability that the PCR test detected infection peaked at 77% (54–88%) 4 days after infection, decreasing to 50% (38–65%) by 10 days after infection. Our results suggest a substantially higher probability of detecting infections 1–3 days after infection than previously published estimates. We estimated that testing every other day would detect 57% (33–76%) of symptomatic cases prior to onset and 94% (75–99%) of asymptomatic cases within 7 days if test results were returned within a day. Conclusions: Our results suggest that routine asymptomatic testing can enable detection of a high proportion of infected individuals early in their infection, provided that the testing is frequent and the time from testing to notification of results is sufficiently fast. [ABSTRACT FROM AUTHOR]

Published
2021
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12. Pandemic peak SARS-CoV-2 infection and seroconversion rates in London frontline health-care workers

Author

Aitken, Jim, Allen, Zoe, Ambler, Rachel, Ambrose, Karen, Ashton, Emma, Avola, Alida, Balakrishnan, Samutheswari, Barns-Jenkins, Caitlin, Barr, Genevieve, Barrell, Sam, Basu, Souradeep, Beale, Rupert, Beesley, Clare, Bhardwaj, Nisha, Bibi, Shahnaz, Bineva-Todd, Ganka, Biswas, Dhruva, Blackman, Michael J, Bonnet, Dominique, Bowker, Faye, Broncel, Malgorzata, Brooks, Claire, Buck, Michael D, Buckton, Andrew, Budd, Timothy, Burrell, Alana, Busby, Louise, Bussi, Claudio, Butterworth, Simon, Byrne, Fiona, Byrne, Richard, Caidan, Simon, Campbell, Joanna, Canton, Johnathan, Cardoso, Ana, Carter, Nick, Carvalho, Luiz, Carzaniga, Raffaella, Chandler, Natalie, Chen, Qu, Cherepanov, Peter, Churchward, Laura, Clark, Graham, Clayton, Bobbi, Cobolli Gigli, Clementina, Collins, Zena, Cottrell, Sally, Crawford, Margaret, Cubitt, Laura, Cullup, Tom, Davies, Heledd, Davis, Patrick, Davison, Dara, D'Avola, Annalisa, Dearing, Vicky, Debaisieux, Solene, Diaz-Romero, Monica, Dibbs, Alison, Diring, Jessica, Driscoll, Paul C, Earl, Christopher, Edwards, Amelia, Ekin, Chris, Evangelopoulos, Dimitrios, Faraway, Rupert, Fearns, Antony, Ferron, Aaron, Fidanis, Efthymios, Fitz, Dan, Fleming, James, Frederico, Bruno, Gaiba, Alessandra, Gait, Anthony, Gamblin, Steve, Gandhi, Sonia, Gaul, Liam, Golding, Helen M, Goldman, Jacki, Goldstone, Robert, Gomez Dominguez, Belen, Gong, Hui, Grant, Paul R, Greco, Maria, Grobler, Mariana, Guedan, Anabel, Gutierrez, Maximiliano G, Hackett, Fiona, Hall, Ross, Halldorsson, Steinar, Harris, Suzanne, Hashim, Sugera, Healy, Lyn, Heaney, Judith, Herbst, Susanne, Hewitt, Graeme, Higgins, Theresa, Hindmarsh, Steve, Hirani, Rajnika, Hope, Joshua, Horton, Elizabeth, Hoskins, Beth, Houlihan, Catherine F, Howell, Michael, Howitt, Louise, Hoyle, Jacqueline, Htun, Mint R, Hubank, Michael, Huerga Encabo, Hector, Hughes, Deborah, Hughes, Jane, Huseynova, Almaz, Hwang, Ming-Shih, Instrell, Rachael, Jackson, Deborah, Jamal-Hanjani, Mariam, Jenkins, Lucy, Jiang, Ming, Johnson, Mark, Jones, Leigh, Kanu, Nnennaya, Kassiotis, George, Kiely, Louise, King Spert Teixeira, Anastacio, Kirk, Stuart, Kjaer, Svend, Knuepfer, Ellen, Komarov, Nikita, Kotzampaltiris, Paul, Kousis, Konstantinos, Krylova, Tammy, Kucharska, Ania, Labrum, Robyn, Lambe, Catherine, Lappin, Michelle, Lee, Stacey-Ann, Levett, Andrew, Levett, Lisa, Levi, Marcel, Liu, Hon-Wing, Loughlin, Sam, Lu, Wei-Ting, MacRae, James I, Madoo, Akshay, Marczak, Julie A, Martensson, Mimmi, Martinez, Thomas, Marzook, Bishara, Matthews, John, Matz, Joachim M, McCall, Samuel, McCoy, Laura E, McKay, Fiona, McNamara, Edel C, Minutti, Carlos M, Mistry, Gita, Molina-Arcas, Miriam, Montaner, Beatriz, Montgomery, Kylie, Moore, Catherine, Moore, David, Moraiti, Anastasia, Moreira-Teixeira, Lucia, Mukherjee, Joyita, Naceur-Lombardelli, Cristina, Nastouli, Eleni, Nelson, Aileen, Nicod, Jerome, Nightingale, Luke, Nofal, Stephanie, Nurse, Paul, Nutan, Savita, Oedekoven, Caroline, O'Garra, Anne, O'Leary, Jean D, Olsen, Jessica, O'Neill, Olga, Ordonez Suarez, Paula, O'Reilly, Nicola, Osborne, Neil, Pabari, Amar, Pajak, Aleksandra, Papayannopoulos, Venizelos, Patel, Namita, Patel, Yogen, Paun, Oana, Peat, Nigel, Peces-Barba Castano, Laura, Perez Caballero, Ana, Perez-Lloret, Jimena, Perrault, Magali S, Perrin, Abigail, Poh, Roy, Poirier, Enzo Z, Polke, James M, Pollitt, Marc, Prieto-Godino, Lucia, Proust, Alize, Shah Punatar, Rajvee, Puvirajasinghe, Clinda, Queval, Christophe, Ramachandran, Vijaya, Ramaprasad, Abhinay, Ratcliffe, Peter, Reed, Laura, Reis e Sousa, Caetano, Richardson, Kayleigh, Ridewood, Sophie, Roberts, Rowenna, Rodgers, Angela, Romero Clavijo, Pablo, Rosa, Annachiara, Rossi, Alice, Roustan, Chloe, Rowan, Andrew, Sahai, Erik, Sait, Aaron, Sala, Katarzyna, Sanderson, Theo, Santucci, Pierre, Sardar, Fatima, Sateriale, Adam, Saunders, Jill A, Sawyer, Chelsea, Schlott, Anja, Schweighoffer, Edina, Segura-Bayona, Sandra, Shaw, Joe, Shin, Gee Yen, Silva Dos Santos, Mariana, Silvestre, Margaux, Singer, Matthew, Snell, Daniel M, Song, Ok-Ryul, Spyer, Moira J, Steel, Louisa, Strange, Amy, Sullivan, Adrienne E, Swanton, Charles, Tan, Michele SY, Tautz-Davis, Zoe H, Taylor, Effie, Taylor, Gunes, Taylor, Harriet B, Taylor-Beadling, Alison, Teixeira Subtil, Fernanda, Terré Torras, Berta, Toolan-Kerr, Patrick, Torelli, Francesca, Toteva, Tea, Treeck, Moritz, Trojer, Hadija, Tsai, Ming-Han C, Turner, James MA, Turner, Melanie, Ule, Jernej, Ulferts, Rachel, Vanloo, Sharon P, Veeriah, Selvaraju, Venkatesan, Subramanian, Vousden, Karen, Wack, Andreas, Walder, Claire, Walker, Philip A, Wang, Yiran, Ward, Sophia, Wenman, Catharina, Wiliams, Luke, Williams, Matthew J, Wong, Wai Keong, Wright, Joshua, Wu, Mary, Wynne, Lauren, Xiang, Zheng, Yap, Melvyn, Zagalak, Julian A, Zecchin, Davide, Zillwood, Rachel, Matthews, Rebecca, Severn, Abigail, Adam, Sajida, Enfield, Louise, McBride, Angela, Gärtner, Kathleen, Edwards, Sarah, Lorencatto, Fabiana, Michie, Susan, Manley, Ed, Shahmanesh, Maryam, Lukha, Hinal, Prymas, Paulina, McBain, Hazel, Shortman, Robert, Wood, Leigh, Davies, Claudia, Williams, Bethany, Ng, Kevin W, Cornish, Georgina H, Faulkner, Nikhil, Riddell, Andrew, Hobson, Philip, Agua-Doce, Ana, Bartolovic, Kerol, Russell, Emma, Carr, Lotte, Sanchez, Emilie, Frampton, Daniel, Byott, Matthew, Paraskevopoulou, Stavroula M, Crayton, Elise, Meyer, Carly, Vora, Nina, Gkouleli, Triantafylia, Stoltenberg, Andrea, Ranieri, Veronica, Byrne, Tom, Lewer, Dan, Hayward, Andrew, Gilson, Richard, Kelly, Gavin, Roberts, Fiona, Hatipoglu, Emine, and Byrne, Thomas

Published
2020
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13. High‐risk behaviours, and their associations with mental health, adherence to antiretroviral therapy and HIV parameters, in HIV‐positive men who have sex with men.

Author

Babalis, Daphne, Garvey, Lucy, Campbell, Lucy, Yurdakul, Selin, Okumu, Sara, Pollard, Louise, Suárez, Beatriz Santana, Otiko, Damilola, Phillips, Laura, Laverick, Rosanna, Beynon, Michelle, Salz, Anna‐Lena, Severn, Abigail, Fisher, Martin, Clarke, Amanda, Richardson, Celia, Kirk, Sarah, Gleig, Rebecca, Macken, Alan, and Ghavani‐Kia, Bijan

Subjects
ANTIRETROVIRAL agents, AGE distribution, ALCOHOLISM, MENTAL depression, DRUGS, HIV infections, MENTAL health, MULTIVARIATE analysis, PATIENT compliance, RISK-taking behavior, SEXUALLY transmitted diseases, SMOKING, SUBSTANCE abuse, PHENOTYPES, LOGISTIC regression analysis, CROSS-sectional method, HIV seroconversion, MEN who have sex with men
Abstract

Objectives: To investigate the patterns and frequency of multiple risk behaviours (alcohol, drugs, smoking, higher risk sexual activity) among men who have sex with men (MSM) living with HIV. Methods: Cross sectional study. Results: 147 out of 819 HIV‐positive MSM exhibited a high‐risk phenotype (defined as >3 of smoking, excess alcohol, sexually transmitted infection and recent recreational drug use). This phenotype was associated with younger age, depressive symptoms and <90% adherence in multivariable logistic regression. Conclusion: In a cohort of MSM, a small, but significant proportion exhibited multiple concurrent risk behaviours. [ABSTRACT FROM AUTHOR]

Published
2019
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