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1. Description and Cross-Sectional Analyses of 25,880 Adults and Children in the UK National Registry of Rare Kidney Diseases Cohort

Author

Abat, Sharirose, Adalat, Shazia, Agbonmwandolor, Joy, Ahmad, Zubaidah, Alejmi, Abdulfattah, Almasarwah, Rashid, Annear, Nicholas, Asgari, Ellie, Ayers, Amanda, Baharani, Jyoti, Balasubramaniam, Gowrie, Kpodo, Felix Jo-Bamba, Bansal, Tarun, Barratt, Alison, Barratt, Jonathan, Bates, Megan, Bayne, Natalie, Bendle, Janet, Benyon, Sarah, Bergmann, Carsten, Bhandari, Sunil, Bingham, Coralie, Boddana, Preetham, Bond, Sally, Braddon, Fiona, Bramham, Kate, Branson, Angela, Brearey, Stephen, Brocklebank, Vicky, Budwal, Sharanjit, Byrne, Conor, Cairns, Hugh, Camilleri, Brian, Campbell, Gary, Capell, Alys, Carmody, Margaret, Carson, Marion, Cathcart, Tracy, Catley, Christine, Cesar, Karine, Chan, Melanie, Chea, Houda, Chess, James, Cheung, Chee Kay, Chick, Katy-Jane, Chitalia, Nihil, Christian, Martin, Chrysochou, Tina, Clark, Katherine, Clayton, Christopher, Clissold, Rhian, Cockerill, Helen, Coelho, Joshua, Colby, Elizabeth, Colclough, Viv, Conway, Eileen, Cook, H. Terence, Cook, Wendy, Cooper, Theresa, Coward, Richard J., Crosbie, Sarah, Cserep, Gabor, Date, Anjali, Davidson, Katherine, Davies, Amanda, Dhaun, Neeraj, Dhaygude, Ajay, Diskin, Lynn, Dixit, Abhijit, Doctolero, Eunice Ann, Dorey, Suzannah, Downard, Lewis, Drayson, Mark, Dreyer, Gavin, Dutt, Tina, Etuk, Kufreabasi, Evans, Dawn, Finch, Jenny, Flinter, Frances, Fotheringham, James, Francis, Lucy, Gale, Daniel P., Gallagher, Hugh, Game, David, Garcia, Eva Lozano, Gavrila, Madita, Gear, Susie, Geddes, Colin, Gilchrist, Mark, Gittus, Matt, Goggolidou, Paraskevi, Goldsmith, Christopher, Gooden, Patricia, Goodlife, Andrea, Goodwin, Priyanka, Grammatikopoulos, Tassos, Gray, Barry, Griffith, Megan, Gumus, Steph, Gupta, Sanjana, Hamilton, Patrick, Harper, Lorraine, Harris, Tess, Haskell, Louise, Hayward, Samantha, Hegde, Shivaram, Hendry, Bruce, Hewins, Sue, Hewitson, Nicola, Hillman, Kate, Hiremath, Mrityunjay, Howson, Alexandra, Htet, Zay, Huish, Sharon, Hull, Richard, Humphries, Alister, Hunt, David P.J., Hunter, Karl, Hunter, Samantha, Ijeomah-Orji, Marilyn, Inston, Nick, Jayne, David, Jenfa, Gbemisola, Jenkins, Alison, Johnson, Sally, Jones, Caroline A., Jones, Colin, Jones, Amanda, Jones, Rachel, Kamesh, Lavanya, Kanigicherla, Durga, Frankl, Fiona Karet, Karim, Mahzuz, Kaur, Amrit, Kavanagh, David, Kearley, Kelly, Kerecuk, Larissa, Khwaja, Arif, King, Garry, King, Grant, Kislowska, Ewa, Klata, Edyta, Kokocinska, Maria, Lambie, Mark, Lawless, Laura, Ledson, Thomas, Lennon, Rachel, Levine, Adam P., Maggie Lai, Ling Wai, Lipkin, Graham, Lovitt, Graham, Lyons, Paul, Mabillard, Holly, Mackintosh, Katherine, Mahdi, Khalid, Maher, Eamonn, Marchbank, Kevin J., Mark, Patrick B., Masoud, Sherry, Masunda, Bridgett, Mavani, Zainab, Mayfair, Jake, McAdoo, Stephen, Mckinnell, Joanna, Melhem, Nabil, Meyrick, Simon, Moochhala, Shabbir, Morgan, Putnam, Morgan, Ann, Muhammad, Fawad, Murray, Shona, Novobritskaya, Kristina, Ong, Albert CM., Oni, Louise, Osmaston, Kate, Padmanabhan, Neal, Parkes, Sharon, Patrick, Jean, Pattison, James, Paul, Riny, Percival, Rachel, Perkins, Stephen J., Persu, Alexandre, Petchey, William G., Pickering, Matthew C., Pinney, Jennifer, Pitcher, David, Plumb, Lucy, Plummer, Zoe, Popoola, Joyce, Post, Frank, Power, Albert, Pratt, Guy, Pusey, Charles, Rabara, Ria, Rabuya, May, Raju, Tina, Javier, Chadd, Roberts, Ian SD., Roufosse, Candice, Rumjon, Adam, Salama, Alan, Saleem, Moin, Sandford, R.N., Sandu, Kanwaljit S., Sarween, Nadia, Sayer, John A., Sebire, Neil, Selvaskandan, Haresh, Shah, Sapna, Sharma, Asheesh, Sharples, Edward J., Sheerin, Neil, Shetty, Harish, Shroff, Rukshana, Simms, Roslyn, Sinha, Manish, Sinha, Smeeta, Smith, Kerry, Smith, Lara, Srivastava, Shalabh, Steenkamp, Retha, Stott, Ian, Stroud, Katerina, Swift, Pauline, Szklarzewicz, Justyna, Tam, Fred, Tan, Kay, Taylor, Robert, Tischkowitz, Marc, Thomas, Kay, Tse, Yincent, Turnbull, Alison, Turner, A. Neil, Tyerman, Kay, Usher, Miranda, Venkat-Raman, Gopalakrishnan, Walker, Alycon, Walsh, Stephen B., Waters, Aoife, Watt, Angela, Webster, Phil, Wechalekar, Ashutosh, Welsh, Gavin Iain, West, Nicol, Wheeler, David, Wiles, Kate, Willcocks, Lisa, Williams, Angharad, Williams, Emma, Williams, Karen, Wilson, Deborah H., Wilson, Patricia D., Winyard, Paul, Wong, Edwin, Wong, Katie, Wood, Grahame, Woodward, Emma, Woodward, Len, Woolf, Adrian, Wright, David, Downward, Lewis, Griffin, Sian, Hall, Matt, Karet Frankl, Fiona, Maher, Eamonn R., Pinney, Jenny, Tam, Frederick W.K., Wilson, Patricia, Sy, Karla Therese L., Huang, Kui, Ye, Jamie, Nitsch, Dorothea, and Bockenhauer, Detlef

Published
2024
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2. Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort

Author

Abat, Sharirose, Adalat, Shazia, Agbonmwandolor, Joy, Ahmad, Zubaidah, Alejmi, Abdulfattah, Almasarwah, Rashid, Annear, Nicholas, Asgari, Ellie, Ayers, Amanda, Baharani, Jyoti, Balasubramaniam, Gowrie, Kpodo, Felix, Bansal, Tarun, Barratt, Alison, Barratt, Jonathan, Bates, Megan, Bayne, Natalie, Bendle, Janet, Benyon, Sarah, Bergmann, Carsten, Bhandari, Sunil, Bingham, Coralie, Boddana, Preetham, Bond, Sally, Braddon, Fiona, Bramham, Kate, Branson, Angela, Brearey, Stephen, Brocklebank, Vicky, Budwal, Sharanjit, Byrne, Conor, Cairns, Hugh, Camilleri, Brian, Campbell, Gary, Capell, Alys, Carmody, Margaret, Carson, Marion, Cathcart, Tracy, Catley, Christine, Cesar, Karine, Chan, Melanie, Chea, Houda, Chess, James, Cheung, Chee Kay, Chick, Katy-Jane, Chitalia, Nihil, Christian, Martin, Chrysochou, Tina, Clark, Katherine, Clayton, Christopher, Clissold, Rhian, Cockerill, Helen, Coelho, Joshua, Colby, Elizabeth, Colclough, Viv, Conway, Eileen, Cook, H Terence, Cook, Wendy, Cooper, Theresa, Coward, Richard J, Crosbie, Sarah, Cserep, Gabor, Date, Anjali, Davidson, Katherine, Davies, Amanda, Dhaun, Neeraj, Dhaygude, Ajay, Diskin, Lynn, Dixit, Abhijit, Doctolero, Eunice, Dorey, Suzannah, Downard, Lewis, Drayson, Mark, Dreyer, Gavin, Dutt, Tina, Etuk, Kufreabasi, Evans, Dawn, Finch, Jenny, Flinter, Frances, Fotheringham, James, Francis, Lucy, Gale, Daniel P, Gallagher, Hugh, Game, David, Garcia, Eva, Gavrila, Madita, Gear, Susie, Geddes, Colin, Gilchrist, Mark, Gittus, Matt, Goggolidou, Paraskevi, Goldsmith, Christopher, Gooden, Patricia, Goodlife, Andrea, Goodwin, Priyanka, Grammatikopoulos, Tassos, Gray, Barry, Griffith, Megan, Gumus, Steph, Gupta, Sanjana, Hamilton, Patrick, Harper, Lorraine, Harris, Tess, Haskell, Louise, Hayward, Samantha, Hegde, Shivaram, Hendry, Bruce, Hewins, Sue, Hewitson, Nicola, Hillman, Kate, Hiremath, Mrityunjay, Howson, Alexandra, Htet, Zay, Huish, Sharon, Hull, Richard, Humphries, Alister, Hunt, David P J, Hunter, Karl, Hunter, Samantha, Ijeomah-Orji, Marilyn, Inston, Nick, Jayne, David, Jenfa, Gbemisola, Jenkins, Alison, Johnson, Sally, Jones, Caroline A, Jones, Colin, Jones, Amanda, Jones, Rachel, Kamesh, Lavanya, Kanigicherla, Durga, Karet Frankl, Fiona, Karim, Mahzuz, Kaur, Amrit, Kavanagh, David, Kearley, Kelly, Kerecuk, Larissa, Khwaja, Arif, King, Garry, King, Grant, Kislowska, Ewa, Klata, Edyta, Kokocinska, Maria, Lambie, Mark, Lawless, Laura, Ledson, Thomas, Lennon, Rachel, Levine, Adam P, Lai, Ling Wai Maggie, Lipkin, Graham, Lovitt, Graham, Lyons, Paul, Mabillard, Holly, Mackintosh, Katherine, Mahdi, Khalid, Maher, Eamonn, Marchbank, Kevin J, Mark, Patrick B, Masoud, Sherry, Masunda, Bridgett, Mavani, Zainab, Mayfair, Jake, McAdoo, Stephen, Mckinnell, Joanna, Melhem, Nabil, Meyrick, Simon, Moochhala, Shabbir, Morgan, Putnam, Morgan, Ann, Muhammad, Fawad, Murray, Shona, Novobritskaya, Kristina, Ong, Albert CM, Oni, Louise, Osmaston, Kate, Padmanabhan, Neal, Parkes, Sharon, Patrick, Jean, Pattison, James, Paul, Riny, Percival, Rachel, Perkins, Stephen J, Persu, Alexandre, Petchey, William G, Pickering, Matthew C, Pinney, Jennifer, Pitcher, David, Plumb, Lucy, Plummer, Zoe, Popoola, Joyce, Post, Frank, Power, Albert, Pratt, Guy, Pusey, Charles, Rabara, Ria, Rabuya, May, Raju, Tina, Javier, Chadd, Roberts, Ian S D, Roufosse, Candice, Rumjon, Adam, Salama, Alan, Saleem, Moin, Sandford, Richard, Sandu, Kanwaljit S, Sarween, Nadia, Sayer, John A, Sebire, Neil, Selvaskandan, Haresh, Sharma, Asheesh, Sharples, Edward J, Sheerin, Neil, Shetty, Harish, Shroff, Rukshana, Simms, Roslyn, Sinha, Manish, Sinha, Smeeta, Smith, Kerry, Smith, Lara, Srivastava, Shalabh, Steenkamp, Retha, Stott, Ian, Stroud, Katerina, Swift, Pauline, Szklarzewicz, Justyna, Tam, Fred, Tan, Kay, Taylor, Robert, Tischkowitz, Marc, Thomas, Kay, Tse, Yincent, Turnbull, Alison, Turner, A Neil, Tyerman, Kay, Usher, Miranda, Venkat-Raman, Gopalakrishnan, Walker, Alycon, Walsh, Stephen B, Waters, Aoife, Watt, Angela, Webster, Phil, Wechalekar, Ashutosh, Welsh, Gavin I, West, Nicol, Wheeler, David, Wiles, Kate, Willcocks, Lisa, Williams, Angharad, Williams, Emma, Williams, Karen, Wilson, Deborah H, Wilson, Patricia D, Winyard, Paul, Wong, Edwin, Wong, Katie, Wood, Grahame, Woodward, Emma, Woodward, Len, Woolf, Adrian, Wright, David, Downward, Lewis, Chrysochou, Constantina, Griffin, Sian, Hall, Matt, Maher, Eamonn R, Pinney, Jenny, Tam, Frederick W K, Turner, Andrew Neil, Wilson, Patricia, Taylor, Christopher Mark, Nitsch, Dorothea, and Bockenhauer, Detlef

Published
2024
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4. Exploring real-world vancomycin target attainment in neonatal intensive care in the context of Staphylococcal infections: a retrospective observational cohort study

Author

Blank, Michael, primary, Wilson, Richard C, additional, Wan, Yu, additional, Peters, Joanna, additional, Davies, Frances, additional, Tyszczuk, Lidia, additional, Pichon, Bruno, additional, Riezk, Alaa, additional, Demirjian, Alicia, additional, Brown, Colin Stewart, additional, Gilchrist, Mark, additional, Holmes, Alison, additional, and Rawson, Timothy Miles, additional

Published
2024
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7. Description and cross-sectional analyses of 25,880 adults and children in the UK National Registry of Rare Kidney Diseases cohort

Author

Wong, Katie, primary, Pitcher, David, additional, Braddon, Fiona, additional, Downward, Lewis, additional, Steenkamp, Retha, additional, Masoud, Sherry, additional, Annear, Nicholas, additional, Barratt, Jonathan, additional, Bingham, Coralie, additional, Coward, Richard J., additional, Chrysochou, Tina, additional, Game, David, additional, Griffin, Sian, additional, Hall, Matt, additional, Johnson, Sally, additional, Kanigicherla, Durga, additional, Karet Frankl, Fiona, additional, Kavanagh, David, additional, Kerecuk, Larissa, additional, Maher, Eamonn R., additional, Moochhala, Shabbir, additional, Pinney, Jenny, additional, Sayer, John A., additional, Simms, Roslyn, additional, Sinha, Smeeta, additional, Srivastava, Shalabh, additional, Tam, Frederick W.K., additional, Thomas, Kay, additional, Turner, A. Neil, additional, Walsh, Stephen B., additional, Waters, Aoife, additional, Wilson, Patricia, additional, Wong, Edwin, additional, Abat, Sharirose, additional, Adalat, Shazia, additional, Agbonmwandolor, Joy, additional, Ahmad, Zubaidah, additional, Alejmi, Abdulfattah, additional, Almasarwah, Rashid, additional, Asgari, Ellie, additional, Ayers, Amanda, additional, Baharani, Jyoti, additional, Balasubramaniam, Gowrie, additional, Jo-Bamba Kpodo, Felix, additional, Bansal, Tarun, additional, Barratt, Alison, additional, Bates, Megan, additional, Bayne, Natalie, additional, Bendle, Janet, additional, Benyon, Sarah, additional, Bergmann, Carsten, additional, Bhandari, Sunil, additional, Boddana, Preetham, additional, Bond, Sally, additional, Bramham, Kate, additional, Branson, Angela, additional, Brearey, Stephen, additional, Brocklebank, Vicky, additional, Budwal, Sharanjit, additional, Byrne, Conor, additional, Cairns, Hugh, additional, Camilleri, Brian, additional, Campbell, Gary, additional, Capell, Alys, additional, Carmody, Margaret, additional, Carson, Marion, additional, Cathcart, Tracy, additional, Catley, Christine, additional, Cesar, Karine, additional, Chan, Melanie, additional, Chea, Houda, additional, Chess, James, additional, Cheung, Chee Kay, additional, Chick, Katy-Jane, additional, Chitalia, Nihil, additional, Christian, Martin, additional, Clark, Katherine, additional, Clayton, Christopher, additional, Clissold, Rhian, additional, Cockerill, Helen, additional, Coelho, Joshua, additional, Colby, Elizabeth, additional, Colclough, Viv, additional, Conway, Eileen, additional, Cook, H. Terence, additional, Cook, Wendy, additional, Cooper, Theresa, additional, Crosbie, Sarah, additional, Cserep, Gabor, additional, Date, Anjali, additional, Davidson, Katherine, additional, Davies, Amanda, additional, Dhaun, Neeraj, additional, Dhaygude, Ajay, additional, Diskin, Lynn, additional, Dixit, Abhijit, additional, Doctolero, Eunice Ann, additional, Dorey, Suzannah, additional, Downard, Lewis, additional, Drayson, Mark, additional, Dreyer, Gavin, additional, Dutt, Tina, additional, Etuk, Kufreabasi, additional, Evans, Dawn, additional, Finch, Jenny, additional, Flinter, Frances, additional, Fotheringham, James, additional, Francis, Lucy, additional, Gale, Daniel P., additional, Gallagher, Hugh, additional, Garcia, Eva Lozano, additional, Gavrila, Madita, additional, Gear, Susie, additional, Geddes, Colin, additional, Gilchrist, Mark, additional, Gittus, Matt, additional, Goggolidou, Paraskevi, additional, Goldsmith, Christopher, additional, Gooden, Patricia, additional, Goodlife, Andrea, additional, Goodwin, Priyanka, additional, Grammatikopoulos, Tassos, additional, Gray, Barry, additional, Griffith, Megan, additional, Gumus, Steph, additional, Gupta, Sanjana, additional, Hamilton, Patrick, additional, Harper, Lorraine, additional, Harris, Tess, additional, Haskell, Louise, additional, Hayward, Samantha, additional, Hegde, Shivaram, additional, Hendry, Bruce, additional, Hewins, Sue, additional, Hewitson, Nicola, additional, Hillman, Kate, additional, Hiremath, Mrityunjay, additional, Howson, Alexandra, additional, Htet, Zay, additional, Huish, Sharon, additional, Hull, Richard, additional, Humphries, Alister, additional, Hunt, David P.J., additional, Hunter, Karl, additional, Hunter, Samantha, additional, Ijeomah-Orji, Marilyn, additional, Inston, Nick, additional, Jayne, David, additional, Jenfa, Gbemisola, additional, Jenkins, Alison, additional, Jones, Caroline A., additional, Jones, Colin, additional, Jones, Amanda, additional, Jones, Rachel, additional, Kamesh, Lavanya, additional, Frankl, Fiona Karet, additional, Karim, Mahzuz, additional, Kaur, Amrit, additional, Kearley, Kelly, additional, Khwaja, Arif, additional, King, Garry, additional, King, Grant, additional, Kislowska, Ewa, additional, Klata, Edyta, additional, Kokocinska, Maria, additional, Lambie, Mark, additional, Lawless, Laura, additional, Ledson, Thomas, additional, Lennon, Rachel, additional, Levine, Adam P., additional, Maggie Lai, Ling Wai, additional, Lipkin, Graham, additional, Lovitt, Graham, additional, Lyons, Paul, additional, Mabillard, Holly, additional, Mackintosh, Katherine, additional, Mahdi, Khalid, additional, Maher, Eamonn, additional, Marchbank, Kevin J., additional, Mark, Patrick B., additional, Masunda, Bridgett, additional, Mavani, Zainab, additional, Mayfair, Jake, additional, McAdoo, Stephen, additional, Mckinnell, Joanna, additional, Melhem, Nabil, additional, Meyrick, Simon, additional, Morgan, Putnam, additional, Morgan, Ann, additional, Muhammad, Fawad, additional, Murray, Shona, additional, Novobritskaya, Kristina, additional, Ong, Albert CM., additional, Oni, Louise, additional, Osmaston, Kate, additional, Padmanabhan, Neal, additional, Parkes, Sharon, additional, Patrick, Jean, additional, Pattison, James, additional, Paul, Riny, additional, Percival, Rachel, additional, Perkins, Stephen J., additional, Persu, Alexandre, additional, Petchey, William G., additional, Pickering, Matthew C., additional, Pinney, Jennifer, additional, Plumb, Lucy, additional, Plummer, Zoe, additional, Popoola, Joyce, additional, Post, Frank, additional, Power, Albert, additional, Pratt, Guy, additional, Pusey, Charles, additional, Rabara, Ria, additional, Rabuya, May, additional, Raju, Tina, additional, Javier, Chadd, additional, Roberts, Ian SD., additional, Roufosse, Candice, additional, Rumjon, Adam, additional, Salama, Alan, additional, Saleem, Moin, additional, Sandford, R.N., additional, Sandu, Kanwaljit S., additional, Sarween, Nadia, additional, Sebire, Neil, additional, Selvaskandan, Haresh, additional, Shah, Sapna, additional, Sharma, Asheesh, additional, Sharples, Edward J., additional, Sheerin, Neil, additional, Shetty, Harish, additional, Shroff, Rukshana, additional, Sinha, Manish, additional, Smith, Kerry, additional, Smith, Lara, additional, Stott, Ian, additional, Stroud, Katerina, additional, Swift, Pauline, additional, Szklarzewicz, Justyna, additional, Tam, Fred, additional, Tan, Kay, additional, Taylor, Robert, additional, Tischkowitz, Marc, additional, Tse, Yincent, additional, Turnbull, Alison, additional, Turner, A Neil, additional, Tyerman, Kay, additional, Usher, Miranda, additional, Venkat-Raman, Gopalakrishnan, additional, Walker, Alycon, additional, Watt, Angela, additional, Webster, Phil, additional, Wechalekar, Ashutosh, additional, Welsh, Gavin Iain, additional, West, Nicol, additional, Wheeler, David, additional, Wiles, Kate, additional, Willcocks, Lisa, additional, Williams, Angharad, additional, Williams, Emma, additional, Williams, Karen, additional, Wilson, Deborah H., additional, Wilson, Patricia D., additional, Winyard, Paul, additional, Wong, Katie, additional, Wood, Grahame, additional, Woodward, Emma, additional, Woodward, Len, additional, Woolf, Adrian, additional, Wright, David, additional, Sy, Karla Therese L., additional, Huang, Kui, additional, Ye, Jamie, additional, Nitsch, Dorothea, additional, and Bockenhauer, Detlef, additional

Published
2024
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8. Effects of rare kidney diseases on kidney failure: a longitudinal analysis of the UK National Registry of Rare Kidney Diseases (RaDaR) cohort

Author

Wong, Katie, primary, Pitcher, David, additional, Braddon, Fiona, additional, Downward, Lewis, additional, Steenkamp, Retha, additional, Annear, Nicholas, additional, Barratt, Jonathan, additional, Bingham, Coralie, additional, Chrysochou, Constantina, additional, Coward, Richard J, additional, Game, David, additional, Griffin, Sian, additional, Hall, Matt, additional, Johnson, Sally, additional, Kanigicherla, Durga, additional, Karet Frankl, Fiona, additional, Kavanagh, David, additional, Kerecuk, Larissa, additional, Maher, Eamonn R, additional, Moochhala, Shabbir, additional, Pinney, Jenny, additional, Sayer, John A, additional, Simms, Roslyn, additional, Sinha, Smeeta, additional, Srivastava, Shalabh, additional, Tam, Frederick W K, additional, Turner, Andrew Neil, additional, Walsh, Stephen B, additional, Waters, Aoife, additional, Wilson, Patricia, additional, Wong, Edwin, additional, Taylor, Christopher Mark, additional, Nitsch, Dorothea, additional, Saleem, Moin, additional, Bockenhauer, Detlef, additional, Bramham, Kate, additional, Gale, Daniel P, additional, Abat, Sharirose, additional, Adalat, Shazia, additional, Agbonmwandolor, Joy, additional, Ahmad, Zubaidah, additional, Alejmi, Abdulfattah, additional, Almasarwah, Rashid, additional, Asgari, Ellie, additional, Ayers, Amanda, additional, Baharani, Jyoti, additional, Balasubramaniam, Gowrie, additional, Kpodo, Felix, additional, Bansal, Tarun, additional, Barratt, Alison, additional, Bates, Megan, additional, Bayne, Natalie, additional, Bendle, Janet, additional, Benyon, Sarah, additional, Bergmann, Carsten, additional, Bhandari, Sunil, additional, Boddana, Preetham, additional, Bond, Sally, additional, Branson, Angela, additional, Brearey, Stephen, additional, Brocklebank, Vicky, additional, Budwal, Sharanjit, additional, Byrne, Conor, additional, Cairns, Hugh, additional, Camilleri, Brian, additional, Campbell, Gary, additional, Capell, Alys, additional, Carmody, Margaret, additional, Carson, Marion, additional, Cathcart, Tracy, additional, Catley, Christine, additional, Cesar, Karine, additional, Chan, Melanie, additional, Chea, Houda, additional, Chess, James, additional, Cheung, Chee Kay, additional, Chick, Katy-Jane, additional, Chitalia, Nihil, additional, Christian, Martin, additional, Chrysochou, Tina, additional, Clark, Katherine, additional, Clayton, Christopher, additional, Clissold, Rhian, additional, Cockerill, Helen, additional, Coelho, Joshua, additional, Colby, Elizabeth, additional, Colclough, Viv, additional, Conway, Eileen, additional, Cook, H Terence, additional, Cook, Wendy, additional, Cooper, Theresa, additional, Crosbie, Sarah, additional, Cserep, Gabor, additional, Date, Anjali, additional, Davidson, Katherine, additional, Davies, Amanda, additional, Dhaun, Neeraj, additional, Dhaygude, Ajay, additional, Diskin, Lynn, additional, Dixit, Abhijit, additional, Doctolero, Eunice, additional, Dorey, Suzannah, additional, Downard, Lewis, additional, Drayson, Mark, additional, Dreyer, Gavin, additional, Dutt, Tina, additional, Etuk, Kufreabasi, additional, Evans, Dawn, additional, Finch, Jenny, additional, Flinter, Frances, additional, Fotheringham, James, additional, Francis, Lucy, additional, Gallagher, Hugh, additional, Garcia, Eva, additional, Gavrila, Madita, additional, Gear, Susie, additional, Geddes, Colin, additional, Gilchrist, Mark, additional, Gittus, Matt, additional, Goggolidou, Paraskevi, additional, Goldsmith, Christopher, additional, Gooden, Patricia, additional, Goodlife, Andrea, additional, Goodwin, Priyanka, additional, Grammatikopoulos, Tassos, additional, Gray, Barry, additional, Griffith, Megan, additional, Gumus, Steph, additional, Gupta, Sanjana, additional, Hamilton, Patrick, additional, Harper, Lorraine, additional, Harris, Tess, additional, Haskell, Louise, additional, Hayward, Samantha, additional, Hegde, Shivaram, additional, Hendry, Bruce, additional, Hewins, Sue, additional, Hewitson, Nicola, additional, Hillman, Kate, additional, Hiremath, Mrityunjay, additional, Howson, Alexandra, additional, Htet, Zay, additional, Huish, Sharon, additional, Hull, Richard, additional, Humphries, Alister, additional, Hunt, David P J, additional, Hunter, Karl, additional, Hunter, Samantha, additional, Ijeomah-Orji, Marilyn, additional, Inston, Nick, additional, Jayne, David, additional, Jenfa, Gbemisola, additional, Jenkins, Alison, additional, Jones, Caroline A, additional, Jones, Colin, additional, Jones, Amanda, additional, Jones, Rachel, additional, Kamesh, Lavanya, additional, Karim, Mahzuz, additional, Kaur, Amrit, additional, Kearley, Kelly, additional, Khwaja, Arif, additional, King, Garry, additional, King, Grant, additional, Kislowska, Ewa, additional, Klata, Edyta, additional, Kokocinska, Maria, additional, Lambie, Mark, additional, Lawless, Laura, additional, Ledson, Thomas, additional, Lennon, Rachel, additional, Levine, Adam P, additional, Lai, Ling Wai Maggie, additional, Lipkin, Graham, additional, Lovitt, Graham, additional, Lyons, Paul, additional, Mabillard, Holly, additional, Mackintosh, Katherine, additional, Mahdi, Khalid, additional, Maher, Eamonn, additional, Marchbank, Kevin J, additional, Mark, Patrick B, additional, Masoud, Sherry, additional, Masunda, Bridgett, additional, Mavani, Zainab, additional, Mayfair, Jake, additional, McAdoo, Stephen, additional, Mckinnell, Joanna, additional, Melhem, Nabil, additional, Meyrick, Simon, additional, Morgan, Putnam, additional, Morgan, Ann, additional, Muhammad, Fawad, additional, Murray, Shona, additional, Novobritskaya, Kristina, additional, Ong, Albert CM, additional, Oni, Louise, additional, Osmaston, Kate, additional, Padmanabhan, Neal, additional, Parkes, Sharon, additional, Patrick, Jean, additional, Pattison, James, additional, Paul, Riny, additional, Percival, Rachel, additional, Perkins, Stephen J, additional, Persu, Alexandre, additional, Petchey, William G, additional, Pickering, Matthew C, additional, Pinney, Jennifer, additional, Plumb, Lucy, additional, Plummer, Zoe, additional, Popoola, Joyce, additional, Post, Frank, additional, Power, Albert, additional, Pratt, Guy, additional, Pusey, Charles, additional, Rabara, Ria, additional, Rabuya, May, additional, Raju, Tina, additional, Javier, Chadd, additional, Roberts, Ian S D, additional, Roufosse, Candice, additional, Rumjon, Adam, additional, Salama, Alan, additional, Sandford, Richard, additional, Sandu, Kanwaljit S, additional, Sarween, Nadia, additional, Sebire, Neil, additional, Selvaskandan, Haresh, additional, Sharma, Asheesh, additional, Sharples, Edward J, additional, Sheerin, Neil, additional, Shetty, Harish, additional, Shroff, Rukshana, additional, Sinha, Manish, additional, Smith, Kerry, additional, Smith, Lara, additional, Stott, Ian, additional, Stroud, Katerina, additional, Swift, Pauline, additional, Szklarzewicz, Justyna, additional, Tam, Fred, additional, Tan, Kay, additional, Taylor, Robert, additional, Tischkowitz, Marc, additional, Thomas, Kay, additional, Tse, Yincent, additional, Turnbull, Alison, additional, Turner, A Neil, additional, Tyerman, Kay, additional, Usher, Miranda, additional, Venkat-Raman, Gopalakrishnan, additional, Walker, Alycon, additional, Watt, Angela, additional, Webster, Phil, additional, Wechalekar, Ashutosh, additional, Welsh, Gavin I, additional, West, Nicol, additional, Wheeler, David, additional, Wiles, Kate, additional, Willcocks, Lisa, additional, Williams, Angharad, additional, Williams, Emma, additional, Williams, Karen, additional, Wilson, Deborah H, additional, Wilson, Patricia D, additional, Winyard, Paul, additional, Wong, Katie, additional, Wood, Grahame, additional, Woodward, Emma, additional, Woodward, Len, additional, Woolf, Adrian, additional, and Wright, David, additional

Published
2024
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9. Response to comment on “International consensus recommendations for the use of prolonged‐infusion β‐lactams endorsed by the American College of Clinical Pharmacy (ACCP), the British Society for Antimicrobial Chemotherapy (BSAC), the Cystic Fibrosis Foundation (CFF), the European Society of Clinical Microbiology and Infectious Diseases (ESCMID), the Infectious Diseases Society of American (IDSA), the Society of Critical Care Medicine (SCCM), and the Society of Infectious Diseases Pharmacists”

Author

Hong, Lisa T., primary, Downes, Kevin J., additional, FakhriRavari, Alireza, additional, Abdul‐Mutakabbir, Jacinda C., additional, Kuti, Joseph L., additional, Jorgensen, Sarah, additional, Young, David C., additional, Alshaer, Mohammad H., additional, Bassetti, Matteo, additional, Bonomo, Robert A., additional, Gilchrist, Mark, additional, Jang, Soo Min, additional, Lodise, Thomas, additional, Roberts, Jason A., additional, Tängdén, Thomas, additional, Zuppa, Athena, additional, and Scheetz, Marc H., additional

Published
2024
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10. The Effect of Ciprofloxacin Prophylaxis during Haematopoietic Cell Transplantation on Infection Episodes, Exposure to Treatment Antimicrobials and Antimicrobial Resistance: A Single-Centre Retrospective Cohort Study.

Author

Baltas, Ioannis, primary, Kavallieros, Konstantinos, additional, Konstantinou, Giannis, additional, Koutoumanou, Eirini, additional, Gibani, Malick M, additional, Gilchrist, Mark, additional, Davies, Frances, additional, and Pavlu, Jiri, additional

Published
2024
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11. Towards pharmacokinetic boosting of phenoxymethylpenicillin (penicillin-V) using probenecid for the treatment of bacterial infections.

Author

Wilson, Richard C., Riezk, Alaa, Arkell, Paul, Ming, Damien, Armiger, Ryan, Latham, Victoria, Gilchrist, Mark J., Märtson, Anne-Grete, Hope, William W., Holmes, Alison H., and Rawson, Timothy M.

Subjects
BACTERIAL diseases, PHARMACOKINETICS, STREPTOCOCCUS pneumoniae, BETA lactam antibiotics, PHARMACODYNAMICS
Abstract

In the face of increasing antimicrobial tolerance and resistance there is a global obligation to optimise oral antimicrobial dosing strategies including narrow spectrum penicillins, such as penicillin-V. We conducted a randomised, crossover study in healthy volunteers to characterise the influence of probenecid on penicillin-V pharmacokinetics and estimate the pharmacodynamics against Streptococcus pneumoniae. Twenty participants took six doses of penicillin-V (250 mg, 500 mg or 750 mg four times daily) with and without probenecid. Total and free concentrations of penicillin-V and probenecid were measured at two timepoints. A pharmacokinetic model was developed, and the probability of target attainment (PTA) calculated. The mean difference (95% CI) between penicillin-V alone and in combination with probenecid for serum total and free penicillin-V concentrations was significantly different at both timepoints (total: 45 min 4.32 (3.20–5.32) mg/L p < 0.001, 180 min 2.2 (1.58–3.25) mg/L p < 0.001; free: 45 min 1.15 (0.88–1.42) mg/L p < 0.001, 180 min 0.5 (0.35–0.76) mg/L p < 0.001). There was no difference between the timepoints in probenecid concentrations. PTA analysis shows probenecid allows a fourfold increase in MIC cover. Addition of probenecid was safe and well tolerated. The data support further research into improved dosing structures for complex outpatient therapy and might also be used to address penicillin supply shortages. [ABSTRACT FROM AUTHOR]

Published
2024
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12. Integrated Analysis of Patient Networks and Plasmid Genomes to Investigate a Regional, Multispecies Outbreak of Carbapenemase-Producing Enterobacterales Carrying Both blaIMP and mcr-9 Genes.

Author

Wan, Yu, Myall, Ashleigh C, Boonyasiri, Adhiratha, Bolt, Frances, Ledda, Alice, Mookerjee, Siddharth, Weiße, Andrea Y, Getino, Maria, Turton, Jane F, Abbas, Hala, Prakapaite, Ruta, Sabnis, Akshay, Abdolrasouli, Alireza, Malpartida-Cardenas, Kenny, Miglietta, Luca, Donaldson, Hugo, Gilchrist, Mark, Hopkins, Katie L, Ellington, Matthew J, and Otter, Jonathan A

Subjects
HORIZONTAL gene transfer, ELECTRONIC health records, GENOMICS, DNA sequencing, ESCHERICHIA coli, KLEBSIELLA pneumoniae
Abstract

Background Carbapenemase-producing Enterobacterales (CPE) are challenging in healthcare, with resistance to multiple classes of antibiotics. This study describes the emergence of imipenemase (IMP)–encoding CPE among diverse Enterobacterales species between 2016 and 2019 across a London regional network. Methods We performed a network analysis of patient pathways, using electronic health records, to identify contacts between IMP-encoding CPE–positive patients. Genomes of IMP-encoding CPE isolates were overlaid with patient contacts to imply potential transmission events. Results Genomic analysis of 84 Enterobacterales isolates revealed diverse species (predominantly Klebsiella spp, Enterobacter spp, and Escherichia coli); 86% (72 of 84) harbored an IncHI2 plasmid carrying bla IMP and colistin resistance gene mcr-9 (68 of 72). Phylogenetic analysis of IncHI2 plasmids identified 3 lineages showing significant association with patient contacts and movements between 4 hospital sites and across medical specialties, which was missed in initial investigations. Conclusions Combined, our patient network and plasmid analyses demonstrate an interspecies, plasmid-mediated outbreak of bla IMPCPE, which remained unidentified during standard investigations. With DNA sequencing and multimodal data incorporation, the outbreak investigation approach proposed here provides a framework for real-time identification of key factors causing pathogen spread. Plasmid-level outbreak analysis reveals that resistance spread may be wider than suspected, allowing more interventions to stop transmission within hospital networks. Summary This was an investigation, using integrated pathway networks and genomics methods, of the emergence of imipenemase-encoding carbapenemase-producing Enterobacterales among diverse Enterobacterales species between 2016 and 2019 in patients across a London regional hospital network, which was missed on routine investigations. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Integrated Analysis of Patient Networks and Plasmid Genomes to Investigate a Regional, Multispecies Outbreak of Carbapenemase-Producing Enterobacterales Carrying Both blaIMP and mcr-9 Genes

Author

Wan, Yu, primary, Myall, Ashleigh C, additional, Boonyasiri, Adhiratha, additional, Bolt, Frances, additional, Ledda, Alice, additional, Mookerjee, Siddharth, additional, Weiße, Andrea Y, additional, Getino, Maria, additional, Turton, Jane F, additional, Abbas, Hala, additional, Prakapaite, Ruta, additional, Sabnis, Akshay, additional, Abdolrasouli, Alireza, additional, Malpartida-Cardenas, Kenny, additional, Miglietta, Luca, additional, Donaldson, Hugo, additional, Gilchrist, Mark, additional, Hopkins, Katie L, additional, Ellington, Matthew J, additional, Otter, Jonathan A, additional, Larrouy-Maumus, Gerald, additional, Edwards, Andrew M, additional, Rodriguez-Manzano, Jesus, additional, Didelot, Xavier, additional, Barahona, Mauricio, additional, Holmes, Alison H, additional, Jauneikaite, Elita, additional, and Davies, Frances, additional

Published
2024
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14. P06 The effect of ciprofloxacin prophylaxis during haematopoietic cell transplantation on infection episodes, exposure to treatment antimicrobials and antimicrobial resistance: a single-centre retrospective cohort study

Author

Baltas, Ioannis, primary, Kavallieros, Konstantinos, additional, Konstantinou, Giannis, additional, Koutoumanou, Eirini, additional, Gibani, Malick M, additional, Gilchrist, Mark, additional, Davies, Frances, additional, and Pavlu, Jiri, additional

Published
2024
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17. Personalising intravenous to oral antibiotic switch decision making through fair interpretable machine learning.

Author

Bolton, William J., Wilson, Richard, Gilchrist, Mark, Georgiou, Pantelis, Holmes, Alison, and Rawson, Timothy M.

Subjects
MACHINE learning, DECISION making, INTENSIVE care units, ANTIMICROBIAL stewardship, ANTIBIOTICS
Abstract

Antimicrobial resistance (AMR) and healthcare associated infections pose a significant threat globally. One key prevention strategy is to follow antimicrobial stewardship practices, in particular, to maximise targeted oral therapy and reduce the use of indwelling vascular devices for intravenous (IV) administration. Appreciating when an individual patient can switch from IV to oral antibiotic treatment is often non-trivial and not standardised. To tackle this problem we created a machine learning model to predict when a patient could switch based on routinely collected clinical parameters. 10,362 unique intensive care unit stays were extracted and two informative feature sets identified. Our best model achieved a mean AUROC of 0.80 (SD 0.01) on the hold-out set while not being biased to individuals protected characteristics. Interpretability methodologies were employed to create clinically useful visual explanations. In summary, our model provides individualised, fair, and interpretable predictions for when a patient could switch from IV-to-oral antibiotic treatment. Prospectively evaluation of safety and efficacy is needed before such technology can be applied clinically. The decision to switch patients from intravenous to oral antibiotic therapy is important for the individual and wider society. Here, authors show a machine learning model using routine clinical data can predict when a patient could switch. [ABSTRACT FROM AUTHOR]

Published
2024
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19. Proposed protocol for selection of living kidney donors with diabetes excludes >99% of people with diabetes.

Author

Gilchrist, Mark and Patel, Kashyap

Subjects
*PEOPLE with diabetes, *KIDNEY transplantation, *DIABETES, *KIDNEYS
Abstract

A proposed protocol for selecting living kidney donors with diabetes has been criticized for excluding over 99% of people with diabetes. While people with diabetes are generally not considered suitable candidates for kidney donation due to the risk of chronic kidney disease (CKD), there is variation in CKD risk among individuals with diabetes. The proposed guidelines suggest excluding individuals with evidence of end organ damage or an unacceptable lifetime risk of complications. However, the criteria are seen as too restrictive and would effectively remove almost all individuals with diabetes. Further research is needed to identify appropriate criteria for selecting potential donors with diabetes. [Extracted from the article]

Published
2024
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20. Aortic reservoir-excess pressure parameters are associated with worse cognitive function in people with untreated stage II/III hypertension.

Author

Aizawa K, Jordan AN, Gooding KM, Llewellyn DJ, Mawson DM, Casanova F, Gates PE, Adingupu DD, Elyas S, Hope SV, Gilchrist M, Strain WD, Clark CE, Bellenger NG, Sharp ASP, Parker KH, Hughes AD, and Shore AC

Abstract

Objective: Hypertension is a recognized risk factor for the development of cognitive impairment and dementia in older adults. Aortic stiffness and altered haemodynamics could promote the transmission of detrimental high pressure pulsatility into the cerebral circulation, potentially damaging brain microvasculature and leading to cognitive impairment. We determined whether reservoir-excess pressure parameters were associated with cognitive function in people with hypertension (HT) and normotension (NT)., Methods: We studied 35 middle-aged and older treatment-naïve stage II/III HT (office systolic BP 176 ± 17 mmHg) and 35 age-, sex- and body mass index-matched NT (office systolic BP 127 ± 8 mmHg). Parameters derived from reservoir-excess pressure analysis including reservoir pressure integral (INTPR), excess pressure integral (INTXSP), systolic rate constant (SRC), diastolic rate constant (DRC) and pulse wave velocity (PWV) were calculated from an ensemble-averaged aortic pressure waveform derived from radial artery tonometry. Cognitive function was assessed using the Addenbrooke's Cognitive Examination Revised (ACE-R), Trail Making Test Part A (TMT-A) and Part B (TMT-B)., Results: All reservoir-excess pressure parameters were greater in HT than NT (all P < 0.05). Greater INTXSP was associated with lower ACE-R score (rs = -0.31), longer TMT-A (r = 0.31) and TMT-B (r = 0.38). Likewise, greater DRC and PWV were also associated with lower ACE-R score (rs = -0.27 and rs = -0.33), longer TMT-A (r = 0.51 and r = 0.40) and TMT-B (r = 0.38 and r = 0.32). Greater INTXSP, DRC and PWV are consistently associated with worse cognitive function in this study., Conclusions: These observations support a potential mechanistic link between adverse haemodynamics and a heightened risk of cognitive impairment in older adults with hypertension., (Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.)

Published
2024
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21. Ciprofloxacin prophylaxis during haematopoietic cell transplantation: a role for use in patients with germ cell tumours?

Author

Kavallieros K, Baltas I, Konstantinou G, Koutoumanou E, Gibani MM, Gilchrist M, Davies F, and Pavlu J

Subjects
Humans, Male, Retrospective Studies, Middle Aged, Female, Adult, Aged, Young Adult, Neutropenia complications, Antimicrobial Stewardship, Adolescent, Ciprofloxacin therapeutic use, Hematopoietic Stem Cell Transplantation adverse effects, Neoplasms, Germ Cell and Embryonal drug therapy, Antibiotic Prophylaxis methods, Anti-Bacterial Agents therapeutic use, Bacteremia prevention & control, Bacteremia microbiology
Abstract

Introduction. Fluoroquinolone prophylaxis during haematopoietic cell transplantation (HCT) can lead to antimicrobial resistance (AMR). Identifying the groups of patients that have the highest likelihood of benefiting from prophylactic antimicrobials is important for antimicrobial stewardship (AMS). Hypothesis. We aimed to identify groups of HCT recipients that have the highest likelihood of benefiting from prophylactic fluroquinolones. Methods. All admissions for HCT in a tertiary centre between January 2020 and December 2022 ( N = 400) were retrospectively studied. Allogeneic HCT (allo-HCT) recipients had prophylaxis with ciprofloxacin during the chemotherapy-induced neutropenia, while autologous HCT (auto-HCT) recipients did not. Bacteraemias were recorded when non-contaminant bacterial pathogens were isolated in blood cultures. Results. Allo-HCT was performed for 43.3 % (173/400) of patients and auto-HCT was performed for 56.7 % (227/400). A bacteraemia was documented in 28.3 % (113/400) of cases. Allo-HCT recipients were more likely to have a Gram-positive bacteraemia (20.8%, 36/173, vs 10.1%, 23/227, P = 0.03), while a difference was not observed for Gram-negative bacteraemias (18.5%, 32/173 vs 18.1%, 41/227, P = 0.91). Among auto-HCT recipients not receiving ciprofloxacin prophylaxis, patients with germ cell tumours had the highest probability ( P for trend 0.09) of recording any bacteraemia (43.5%, 10/23) followed by patients with lymphomas (32.5%, 13/40), other auto-HCT indications (22.2%, 2/9), multiple myeloma (22.1%, 29/131) and multiple sclerosis (12.5%, 3/24). The higher number of bacteraemias in patients with germ cell tumours was primarily driven by Gram-negative pathogens. Conclusions. Ciprofloxacin prophylaxis was associated with a reduced incidence of Gram-negative bacteraemias in allo-HCT recipients. Auto-HCT recipients due to germ cell tumours, not receiving ciprofloxacin prophylaxis, recorded the highest incidence of bacteraemias and represent a possible target group for this intervention.

Published
2024
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22. Evaluation of the stability of aciclovir in elastomeric infusion devices used for outpatient parenteral antimicrobial therapy.

Author

Sime FB, Wallis S, Jamieson C, Hills T, Gilchrist M, Santillo M, Seaton RA, Drummond F, and Roberts J

Abstract

Objectives: To investigate the stability of aciclovir solutions in elastomeric devices used for outpatient parenteral antimicrobial therapy (OPAT)., Methods: Triplicates of two elastomeric devices, Accufuser and Easypump II, were filled with a solution of 200 mg, 2400 mg, and 4500 mg aciclovir in 240 mL 0.9% w/v saline. Devices were stored at room temperature for 14 days, followed by 24 hours storage at 32°C. Assessment using a stability indicating assay, pH and subvisible particle analysis was undertaken at 11 time points throughout the study., Results: Aciclovir solution at 200 mg and 2400 mg in 240 mL was stable for 14 days at room temperature (<20°C) and 24 hours of 32°C 'in-use' temperature exposure, remaining above the 95% limit for NHS stability protocols. The high dose was also stable for 14 days at room temperature, but when stored at 32°C there was precipitation of aciclovir within 4 hours in both devices. The precipitate was confirmed as aciclovir and precipitation was not a sign of chemical degradation., Conclusions: Aciclovir concentrations above 2400 mg/240 mL are liable to precipitation and cannot be recommended for OPAT services because of heightened risks of nephrotoxicity. Aciclovir solution can be given as a continuous 24-hour infusion for OPAT services at a concentration range of 200-2400 mg in 240 mL in Accufuser and Easypump II elastomeric devices following 14 days storage at room temperature, protected from light., Competing Interests: Competing interests: None declared., (© European Association of Hospital Pharmacists 2023. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ.)

Published
2024
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