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13 results on '"Davis, Michelle"'

1. The population and conservation genetics of the Marsh Fritillary butterfly Euphydryas aurinia in the British Isles

Author

Davis, Michelle, Ashton, Paul, and Powell, Michael

Subjects
595.78, Euphydryas aurinia, Marsh Fritillary, Lepidoptera, ecological genetics, conservation, gene flow, dispersal, reintroduction
Abstract

This thesis investigates the ecological genetics of the Marsh Fritillary butterfly in the British Isles using microsatellite markers. This is broken down into four questions. The first question to be addressed is what is the population differentiation across a broad landscape? The second question asks what the population differentiation is on a similar geographical scale when populations are isolated by water? The third question asks what management units can be identified at local and regional scales? The final question addresses the genetic composition and diversity of a reintroduced population with reference to the source populations. This study suggests that movements of < 400m occur frequently and within that distance populations cannot be considered separate even when occupying discreet patches of habitat. Movements of >4km occur but infrequently enough for patches this distance apart to be considered separate populations, with significant pairwise Fst values detected at this range. Previous studies, mainly based on observation and recapture studies, have estimated the dispersal range to be between 300m-20km. The upper limit of dispersal was not determined but the 20km previous proposed is commensurate with this study. 5 Strong evidence for spacial structuring and population differentiation was found over relatively short distances (< 12km). Isolation by distance was observed only in the most geographically separated dataset (Ireland), suggesting that at shorter distances (< 100km) the landscape matrix may have more of an effect on dispersal than straight line distance. Water is not a barrier to dispersal and pairwise Fst for island populations is similar to equivalent mainland population pairs over the same distance. It is also theorised that multi-generational stepping-stone dispersal may occur in both terrestrial and mixed terrestrial-open water habitats. Levels of genetic diversity in reintroduced populations whose donor stock was an admixture bred from two separate areas was found to be similar or higher than that of natural populations. Populations reintroduced from the same captive stock began to show population differentiation nine generations after reintroduction. Most populations examined exhibited low observed heterozygosity and departures from Hardy-Weinberg equilibrium, implying that this is normal for the species. Genetic variation is unevenly distributed across the landscape although analysis showed that this was not easily explained by landscape features. The management implications of findings are discussed and suggest genetic evidence can inform management decisions. Specifically, genetic diversity is not equally distributed across the landscape and this needs to be taken into consideration if planning landscape level intervention. When designating management units, sites which are < 400m apart should be treated as a single population and managed together, while sites which are > 4km apart are separate populations and should be treated as separate management units.

Published
2019

2. DAVIS, MICHELLE

Author

DAVIS, MICHELLE, DAVIS, MICHELLE, DAVIS, MICHELLE, and DAVIS, MICHELLE

Published
2023

3. Prevalence of colistin heteroresistance in carbapenem-resistant Pseudomonas aeruginosa and association with clinical outcomes in patients : an observational study

Author

Howard-Anderson, Jessica, Davis, Michelle, Page, Alexander M., Bower, Chris W., Smith, Gillian, Jacob, Jesse T., Andersson, Dan I., Weiss, David S., Satola, Sarah W., Howard-Anderson, Jessica, Davis, Michelle, Page, Alexander M., Bower, Chris W., Smith, Gillian, Jacob, Jesse T., Andersson, Dan I., Weiss, David S., and Satola, Sarah W.

Abstract

Objectives: To describe the prevalence of colistin heteroresistance in carbapenem-resistant Pseudomonas aeruginosa (CRPA) and evaluate the association with clinical outcomes. Methods: Colistin heteroresistance was evaluated in CRPA isolates collected from patients without cystic fibrosis in Atlanta, Georgia, USA using two definitions: HR1, growth at 4 and 8 mg/L of colistin at a frequency >= 1 x 10(-6) the main population; and HR2, growth at a colistin concentration >= 8x the MIC of the main population at a frequency >= 1 x 10(-7). A modified population analysis profile (mPAP) technique was compared with reference PAP for detecting heteroresistance. For adults hospitalized at the time of or within 1 week of CRPA culture, multivariable logistic regression estimated the association between heteroresistance and 90 day mortality. Results: Of 143 colistin-susceptible CRPA isolates, 8 (6%) met the HR1 definition and 37 (26%) met the HR2 definition. Compared with the reference PAP, mPAP had a sensitivity and specificity of 50% and 100% for HR1 and 32% and 99% for HR2. Of 82 hospitalized patients, 45 (56%) were male and the median age was 63 years (IQR 49-73). Heteroresistance was not associated with 90 day mortality using HR1 (0% in heteroresistant versus 22% in non-heteroresistant group; P = 0.6) or HR2 (12% in heteroresistant versus 24% in non-heteroresistant group; P = 0.4; adjusted OR 0.8; 95% CI 0.2-3.4). Conclusions: Colistin heteroresistance was identified in up to 26% of patients with CRPA in our sample, although the prevalence varied depending on the definition. We did not observe an apparent association between colistin heteroresistance and 90 day mortality.

Published
2022
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4. Combining modelling, field data and genetic variation to understand the post‑reintroduction population genetics of the Marsh Fritillary butterfly (Euphydryas aurinia)

Author

DAVIS, MICHELLE, BARKER, CARL, Powell, Ian, Porter, Keith, ASHTON, PAUL, DAVIS, MICHELLE, BARKER, CARL, Powell, Ian, Porter, Keith, and ASHTON, PAUL

Abstract

The Marsh Fritillary butterfly (Euphydryas aurinia) is a Eurasian species which has suffered significant reductions in occurrence and abundance over the past century, particularly across the western side of its range, due to agricultural intensification and habitat loss. This loss has been particularly severe in the UK with extensive localised extinctions. Following sympathetic management, reintroduction was undertaken at four Cumbria (northern UK) sites in 2007 with stock from a captive admixture population descended from Cumbrian and Scottish founders. Annual population monitoring of the reintroductions was undertaken. Nine years post-reintroduction, the level of population genetic variation was assessed using microsatellites. Variation in historical Cumbrian samples was determined using museum samples and Scottish samples from current populations were assayed to characterise natural population variation. Half of the Scottish sites also served as indicators of the alleles present in the founder populations. The genetic contribution of the founder populations allied to population size data allowed patterns of genetic variation to be modelled. Alleles from Cumbrian and Scottish founders are present in the reintroduced populations. The four sites have levels of variation akin to natural populations and exhibit differentiation as predicted by statistical modelling and comparable with natural populations. This suggests that reintroduction following captive breeding can produce self-sustaining populations with natural levels of genetic diversity. These populations appear to be undergoing the same evolutionary dynamics with bottlenecks and drift as natural populations.

Published
2021

5. Baseline factors associated with early and late death in intracerebral haemorrhage survivors

Author

Banerjee, G., Ambler, G., Hostettler, I. C., Shakeshaft, C., Lunawat, S., Cohen, H., Yousry, T., Al-Shahi Salman, R., Lip, G. Y.H., Houlden, H., Muir, K. W., Jäger, H. R., Werring, D. J., Shaw, Louise, Harkness, Kirsty, Sword, Jane, Mohd Nor, Azlisham, Sharma, Pankaj, Kelly, Deborah, Harrington, Frances, Randall, Marc, Smith, Matthew, Mahawish, Karim, Elmarim, Abduelbaset, Esisi, Bernard, Cullen, Claire, Nallasivam, Arumug, Price, Christopher, Barry, Adrian, Roffe, Christine, Coyle, John, Hassan, Ahamad, Lovelock, Caroline, Birns, Jonathan, Cohen, David, Sekaran, L., Parry-Jones, Adrian, Parry, Anthea, Hargroves, David, Proschel, Harald, Datta, Prabel, Darawil, Khaled, Manoj, Aravindakshan, Burn, Mathew, Patterson, Chris, Giallombardo, Elio, Smyth, Nigel, Mansoor, Syed, Anwar, Ijaz, Marsh, Rachel, Ispoglou, Sissi, Chadha, Dinesh, Prabhakaran, Mathuri, Meenakishundaram, Sanjeevikumar, O'Connell, Janice, Scott, Jon, Krishnamurthy, Vinodh, Aghoram, Prasanna, McCormick, Michael, O’Mahony, Paul, Cooper, Martin, Choy, Lillian, Wilkinson, Peter, Leach, Simon, Caine, Sarah, Burger, Ilse, Gunathilagan, Gunaratam, Guyler, Paul, Emsley, Hedley, Davis, Michelle, Manawadu, Dulka, Pasco, Kath, Mamun, Maam, Luder, Robert, Sajid, Mahmud, Okwera, James, Staals, Julie, Warburton, Elizabeth, Saastamoinen, Kari, England, Timothy, Putterill, Janet, Flossman, Enrico, Power, Michael, Dani, Krishna, Mangion, David, Suman, Appu, Corrigan, John, Lawrence, Enas, Vahidassr, Djamil, Banerjee, G., Ambler, G., Hostettler, I. C., Shakeshaft, C., Lunawat, S., Cohen, H., Yousry, T., Al-Shahi Salman, R., Lip, G. Y.H., Houlden, H., Muir, K. W., Jäger, H. R., Werring, D. J., Shaw, Louise, Harkness, Kirsty, Sword, Jane, Mohd Nor, Azlisham, Sharma, Pankaj, Kelly, Deborah, Harrington, Frances, Randall, Marc, Smith, Matthew, Mahawish, Karim, Elmarim, Abduelbaset, Esisi, Bernard, Cullen, Claire, Nallasivam, Arumug, Price, Christopher, Barry, Adrian, Roffe, Christine, Coyle, John, Hassan, Ahamad, Lovelock, Caroline, Birns, Jonathan, Cohen, David, Sekaran, L., Parry-Jones, Adrian, Parry, Anthea, Hargroves, David, Proschel, Harald, Datta, Prabel, Darawil, Khaled, Manoj, Aravindakshan, Burn, Mathew, Patterson, Chris, Giallombardo, Elio, Smyth, Nigel, Mansoor, Syed, Anwar, Ijaz, Marsh, Rachel, Ispoglou, Sissi, Chadha, Dinesh, Prabhakaran, Mathuri, Meenakishundaram, Sanjeevikumar, O'Connell, Janice, Scott, Jon, Krishnamurthy, Vinodh, Aghoram, Prasanna, McCormick, Michael, O’Mahony, Paul, Cooper, Martin, Choy, Lillian, Wilkinson, Peter, Leach, Simon, Caine, Sarah, Burger, Ilse, Gunathilagan, Gunaratam, Guyler, Paul, Emsley, Hedley, Davis, Michelle, Manawadu, Dulka, Pasco, Kath, Mamun, Maam, Luder, Robert, Sajid, Mahmud, Okwera, James, Staals, Julie, Warburton, Elizabeth, Saastamoinen, Kari, England, Timothy, Putterill, Janet, Flossman, Enrico, Power, Michael, Dani, Krishna, Mangion, David, Suman, Appu, Corrigan, John, Lawrence, Enas, and Vahidassr, Djamil

Abstract

Background and purpose: The aim of this study was to determine whether early and late death are associated with different baseline factors in intracerebral haemorrhage (ICH) survivors. Methods: This was a secondary analysis of the multicentre prospective observational CROMIS-2 ICH study. Death was defined as ‘early’ if occurring within 6 months of study entry and ‘late’ if occurring after this time point. Results: In our cohort (n = 1094), there were 306 deaths (per 100 patient-years: absolute event rate, 11.7; 95% confidence intervals, 10.5–13.1); 156 were ‘early’ and 150 ‘late’. In multivariable analyses, early death was independently associated with age [per year increase; hazard ratio (HR), 1.05, P = 0.003], history of hypertension (HR, 1.89, P = 0.038), pre-event modified Rankin scale score (per point increase; HR, 1.41, P < 0.0001), admission National Institutes of Health Stroke Scale score (per point increase; HR, 1.11, P < 0.0001) and haemorrhage volume >60 mL (HR, 4.08, P < 0.0001). Late death showed independent associations with age (per year increase; HR, 1.04, P = 0.003), pre-event modified Rankin scale score (per point increase; HR, 1.42, P = 0.001), prior anticoagulant use (HR, 2.13, P = 0.028) and the presence of intraventricular extension (HR, 1.73, P = 0.033) in multivariable analyses. In further analyses where time was treated as continuous (rather than dichotomized), the HR of previous cerebral ischaemic events increased with time, whereas HRs for Glasgow Coma Scale score, National Institutes of Health Stroke Scale score and ICH volume decreased over time. Conclusions: We provide new evidence that not all baseline factors associated with early mortality after ICH are associated with mortality after 6 months and that the effects of baseline variables change over time. Our findings could help design better prognostic scores for later death after ICH.

Published
2020

6. Multiword Units Predict Non-inversion Errors in Children’s Wh-questions: “What Corpus Data Can Tell Us?”

Author

McCauley, Stewart M., McCauley, Stewart M., Bannard, Colin, Theakston, Anna, Davis, Michelle, Cameron-Faulkner, Thea, Ambridge, Ben, McCauley, Stewart M., McCauley, Stewart M., Bannard, Colin, Theakston, Anna, Davis, Michelle, Cameron-Faulkner, Thea, and Ambridge, Ben

Abstract

Subject-auxiliary inversion in interrogatives has been a topic of great interest in language acquisition research, and has often been held up as evidence for the structure-dependence of grammar. Usage-based and nativist approaches posit different representations and processes underlying children’s question formation and therefore predict different causes for these errors. Here, we explore the question of whether input statistics predict children’s spontaneous non-inversion errors with wh- questions. In contrast to previous studies, we look at properties of the non-inverted, errorful forms of questions. Through a series of corpus analyses, we show that the frequency of uninverted subsequences (e.g., “she is going” in “what she is going to do?*”) is a good predictor of children’s errors, consistent with recent evidence for multiword units in children’s comprehension and production. This finding has implications for the types of mental representations and cognitive processes researchers ascribe to children acquiring a first language.

Published
2019

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

Author

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

Published
2019

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

Author

Neurologie, Brain, Circulatory Health, Al-Shahi Salman, Rustam, Minks, David P., Mitra, Dipayan, Rodrigues, Mark A., Bhatnagar, Priya, du Plessis, Johann C., Joshi, Yogish, Dennis, Martin, Murray, Gordon D., Newby, David E., Sandercock, Peter A.G., Sprigg, Nikola, Stephen, Jacqueline, Sudlow, Cathie, Werring, David J., Whiteley, William, Wardlaw, Joanna M., White, Philip M., Baigent, Colin, Lasserson, Daniel, Sullivan, Frank, Carrie, Johanna, Rojas, Javier, Amoils, Shannon, Bamford, John, Armitage, Jane, Rinkel, Gabriel, Lowe, Gordon, Emberson, Jonathan, Innes, Karen, Dinsmore, Lynn, Drever, Jonathan, Williams, Carol, Perry, David, McGill, Connor, Buchanan, David, Walker, Allan, Hutchison, Aidan, Matthews, Christopher, Fraser, Ruth, McGrath, Aileen, Deary, Ann, Anderson, Rosemary, Walker, Pauli, Hansen, Christian, Parker, Richard, Rodriguez, Aryelly, Macleod, Malcolm, Gattringer, Thomas, Palmer, Jeb, Sakka, Eleni, Adil-Smith, Jennifer, Minks, David, du Plessis, Johannes, Lerpiniere, Christine, O'Brien, Richard, Burgess, Seona, Mead, Gillian, Paulton, Ruth, Doubal, Fergus, McCormick, Katrina, Hunter, Neil, Taylor, Pat, Parakramawansha, Ruwan, Perry, Jack, Blair, Gordon, MacRaild, Allan, Parry-Jones, Adrian, Johnes, Mary, Lee, Stephanie, Shaw, Kelly Marie, Burger, Ilse, Punter, Martin, Ingham, Andrea, Perez, Jane, Naing, Zin, Morell, Jordi, Marsden, Tracy, Hall, Andrea, Marshall, Sally, Harrison, Louise, Jarapa, Rowilson, Wood, Edith, O'Loughlin, Victoria, Cohen, David, Davies, Silvie, Njoku, Kelechi, Mpelembue, Mushiya, Burgess, Laura, Licenik, Radim, Ngwako, Mmua, Nisar, Nabeela, Niranchanan, Rangah, Roganova, Tatjana, Bathula, Rajaram, Devine, Joseph, David, Anette, Oshodi, Anne, Guo, Fenglin, Owoyele, Emmanuelle, Sukdeo, Varthi, Ballantine, Robert, Abbdul-saheb, Mudhar, Chamberlain, Angela, Chandrakumar, Aberami, Poku, Philip, Harkness, Kirsty, Blank, Catrin, Richards, Emma, Ali, Ali, Kibutu, Faith, Balitska, Olesia, Birchall, Kathryn, Bayliss, Pauline, Doyle, 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David, Wilson, Duncan, Watchurst, Caroline, Brezitski, Maria, Crook, Luci, Jones, Ifan, Banaras, Azra, Patel, Krishna, Erande, Renuka, Hogan, Caroline, Hostettler, Isabel, Ashton, Amy, Feerick, Shez, Francia, Nina, Oji, Nnebuife, Elliott, Emma, Al-Mayhani, Talal, Dutta, Dipankar, Brown, Pauline, Ward, Deborah, Davis, Fiona, Turfrey, Jennifer, Hughes, Chloe, Collins, Kayleigh, Bakawala, Rehana, O'Connell, Susan, Glass, Jon, Broughton, David, Tryambake, Dinesh, Dixon, Lynn, Chapman, Kath, Young, Andrew, Bergin, Adrian, Sigsworth, Andrew, Manoj, Aravind, Fletcher, Glyn, Lopez, Paula, Cox, Penelope, Wilkinson, Mark, Fitzsimmons, Paul, Sharma, Nikhil, Choulerton, James, Button, Denise, Dow, Lindsey, Gbadamoshi, Lukuman, Avis, Joanne, Madigan, Barbara, McCann, Stephanie, Shaw, Louise, Howcroft, Deborah, Lucas, Suzanne, Stone, Andrew, Cluckie, Gillian, Lovelock, Caroline, Clarke, Brian, Chopra, Neha, Clarke, Natasha, Patel, Bhavini, Kennedy, Kate, Williams, Rebecca, Blight, Adrian, O'Reilly, Joanna, Orefo, Chukwuka, Dayal, Nilofer, Ghatala, Rita, Adedoyin, Temi, Watson, Fran, Trippier, Sarah, Choy, Lillian, Moynihan, Barry, Khan, Usman, Jones, Val, Jeyaraj, Naomi, Kerin, Lourda, Thavanesan, Kamy, Tiwari, Divya, Cox, Chantel, Ljubez, Anja, Tucker, Laura, Iqbal, Arshi, Bagnall, Caroline, Keltos, Marketa, Roberts, Josh, Jupp, Becky, Ovington, Catherine, Rogers, Emily, David, Owen, Bell, Jo, Longland, Barbara, Hann, Gail, Cooper, Martin, Nasar, Mohammad, Rajapakse, Anoja, Wynter, Inez, Anwar, Ijaz, Skinner, Helen, Nozedar, Tarn, McArdle, Damian, Kumar, Balakrishna, Crawford, Susan, Annamalai, Arunkumar, Ramshaw, Alex, Holmes, Clare, Caine, Sarah, Osborn, Mairead, Dodd, Emily, Murphy, Peter, Devitt, Nicola, Baker, Pauline, Steele, Amy, Guthrie, Lucy Belle, Clarke, Samantha, Hassan, Ahamad, Waugh, Dean, Veraque, Emelda, Makawa, Linetty, Kambafwile, Mary, Randall, Marc, Papavasileiou, Vasileios, Cullen, Claire, Peters, Jenny, Thant, Hlaing, Ingram, Tanya, Zoe, Mellor, Durairaj, Ramesh, Harrison, Melanie, Stevenson, Sarah, Shackcloth, Daniela, Ewing, Jordan, Sutton, Victoria, McCarron, Mark, McKee, Jacqueline, Doherty, Mandy, McVerry, Ferghal, Blair, Caroline, MacLeod, Mary, Irvine, Janice, Gow, Heather, Furnace, Jacqueline, Joyson, Anu, Jagpal, Baljit, Ross, Sarah, Klaasen, Katrina, Nelson, Sandra, Clarke, Rebecca, Crouch, Nichola, MacLennan, Beverly, Taylor, Vicky, Epstein, Daniel, Shukla, Avani, Krishnamurthy, Vinodh, Nicholas, Paul, Qureshi, Sammie, Webber, Adam, Penge, Justin, Ramadan, Hawraman, Maguire, Stuart, Patterson, Chris, Bellfield, Ruth, Hairsine, Brigid, Stewart, Kelvin, Hooley, Michaela, Quinn, Outi, Richard, Bella, Moseley, Sally, Edwards, Mandy, Lawson, Heidi, Tayler, Michelle, Pai, Yogish, Dhakal, Mahesh, Esisi, Bernard, Dima, Sofia, Smith, Gemma Marie, Garside, Mark, Naeem, Muhammad, Baliga, Vidya, Rogers, Gill, Brown, Ellen, Bruce, David, Hayman, Rachel, Clayton, Susan, Gamble, Ed, Grue, Rebecca, Charles, Bethan, Hague, Adam, Blane, Sujata, Lambert, Caroline, Chaudhry, Afnan, Harrison, Thomas, Saastamoinen, Kari, Hove, Dionne, Howaniec, Laura, Grimwood, Gemma, Redjep, Ozlem, Humphries, Fiona, Argandona, Lucia, Cuenoud, Larissa, Erumere, Esther, Amlani, Sageet, Auld, Grace, Salek-Haddadi, Afraim, Schulz, Ursula, Kennedy, James, Ford, Gary, Mathieson, Philip, Reckless, Ian, Teal, Rachel, Lenti, Giulia, Harston, George, O'Brien, Eoin, Mcgee, Joanne, Mitchell, Jennifer, Amis, Elaine, Handley, Dominic, Kelly, Siobhan, Zachariah, George, Francis, Jobbin, Crisp, Sarah, Sesay, Juliana, Finlay, Sarah, Hayhoe, Helen, Hannon, Niamh, Hughes, Tom, Morse, Bethan, De Berker, Henry, Tallantyre, Emma, Osman, Ahmed, White, Susan, Schwarz, Stefan, Jelley, Benjamin, Yadava, Rajendra, Azhar, Khalid, Reddan, Julie, Sangombe, Mirriam, Stafford, Samantha, Fotherby, Ken, Morgan, Debbie, Baig, Farrukh, Jennings-Preece, Karla, Butler, Donna, Ahmad, Nasar, Willberry, Angela, Stevens, Angela, Rai, Baljinder, Siddegowda, Prasad, Howard, Peter, Hyatt, Lisa, Dobson, Tracey, Jarrett, David, Ponnambath, Suheil, Tandy, Jane, Harrington-Davies, Yasmin, Butler, Rebecca, James, Claire, Valentine, Stacey, Suttling, Anne, Langhorne, Peter, Kerr, Gillian, Wright, Fiona, Graham, Ruth, McAlpine, Christine, Iqbal, Mohammad Shahzad, Humphreys, Louise, Pasco, Kath, Balazikova, Olga, Nasim, Ashraf, Peixoto, Cassilda, Gallagher, Louise, Shahmehri, Shahrzad, Ghosh, Sandip, Barrie, Elizabeth, Gilmour, Danielle, Henry, Margo, Webb, Tom, Cowie, Linda, Rudenko, Hannah, McDonald, Shanni, Schumacher, Natasha, Walker, Susannah, Cosier, Tracey, Verrion, Anna, Beranova, Eva, Thomson, Audrey, Venter, Marius, Kar, Arindam, Mashate, Sheila, Harvey, Kirsten, Gardener, Léjeune, Nguyen, Vinh, Halse, Omid, Geraghty, Olivia, Hazel, Beth, Wilding, Peter, Tilley, Victoria, Cassidy, Tim, McClelland, Beverley, Bokhari, Maria, England, Timothy, Maddula, Mohana, Donnelly, Richard, Findlay, Paul, Macaden, Ashish, Shread, Ian, Barr, Charlotte, Mohd Nor, Azlisham, Brown, Claire, Persad, Nicola, Eglinton, Charlotte, Weinling, Marie, Hyams, Benjamin, Shah, Alex, Baker, John, Byrne, Anthony, McGhee, Caroline, Smart, Amanda, Copeland, Claire, Carpenter, Michael, Walker, Marion, Davey, Richard, Needle, Ann, Fathima, Razik, Bateman, Gavin, Datta, Prabal, Stanners, Andrew, Jackson, Linda, Ball, Julie, Davis, Michelle, Atkinson, Natalie, Fawcett, Michelle, Thompson, Teresa, Guy, Helen, Hogg, Valerie, Hays, Carole, Woodward, Stephen, Haque, Mohammad, Hakim, Eluzai, Symonds, Stuart, Maanoosi, Mehran, Herman, Jane, Black, Toby, Miriam, Skelton, Clarke, Caroline, Anthony, Alpha, Tribbeck, Michele, Cronin, Julie, Mead, Denise, Fennelly, Ruth, McIlmoyle, James, Dickinson, Christina, Jeffs, Carol, Anwar, Sajjad, Howard, Joanne, Jones, Kirsty, Dhar, Saikat, Clay, Caroline, Siddiq, Muhammad, Ivatts, Simone, Baird, Yolanda, Sally, Moore, Amey, Isobel, Newton, Sophie, Clayton-Evans, Lisa, Chadbourn, Indra, Rayessa, Rayessa, Naylor, Charde, Rodgers, Alicia, Wilson, Lisa, Wilson, Sarah, Clarkson, Emma, Davies, Ruth, Owings, Paula, Sangster, Graeme, Gott, Valerie, Little, Victoria, Weir, Pauline, Cherian, Suja, Jose, Deepa, Moroney, Helen, Downham, Susan, Dodd, Angela, Vettimootal Johnson, Venetia, Codd, Laura, Robinson, Naomi, Ahmed, Ashraf, Albazzaz, Mo, Johnson, Sharon, Denniss, Carol, Cunningham, Mishell, Zahoor, Tajammal, Webster, Timothy, Leason, Sandra, Haider, Syed, Chatterjee, Kausic, Nallasivan, Arumugam, Perkins, Charlotte, Seagrave, Samantha, Jenkins, Colin, Price, Fiona, Hughes, Claire, Mercer, Lily, Hussain, Malik, Brown, Sarah, Harvey, Miriam, Homan, Jane, Khan, Mohammad, Whiting, Robert, Foote, Leanne, Hunt, Nicholas, Durman, Helen, Brotherton, Lucy, Foot, Jayne, Pawley, Corinne, Foster, Eliza, Whitcher, Alison, Metcalf, Kneale, Jagger, Jenny, McDonald, Susan, Waterfield, Kelly, Sutton, Patrick, Shinh, Naval, Anversha, Ajmal, Ravenhill, Garth, Greenwood, Richard, Saada, Janak, Wiltshire, Alison, Perfitt, Rebekah, Andole, Sreeman, Gadapa, Naveen, Dunne, Karen, Krommyda, Magdalini, Burssens, Evelyne, King, Sam, Plewa, Catherine, Smyth, Nigel, Wilson, Jenny, Giallombardo, Elio, Sykes, Lucy, Kumar, Pradeep, Barker, James, Huggett, Isabel, Dunn, Linda, Culmsee, Charlotte, Thomas, Philip, Myint, Min, Brew, Helen, Majmudar, Nikhil, OConnell, Janice, Bunea, George, Fox, Charlotte, Gulliver, Diane, Smith, Andrew, Mokoena, Betty, Sattar, Naweed, Krishnamurthy, Ramesh, Osborne, Emily, Wilson, David, Wroath, Belinda, Dynan, Kevin, Power, Michael, Thompson, Susan, Adell, Victoria, Orugun, Enoch, Poultney, Una, Glover, Rachel, Crowther, Hannah, Thornthwaite, Sarah, Wiggam, Ivan, Wallace, Aine, Kerr, Enda, Fulton, Ailsa, Hunter, Annemarie, Tauro, Suzanne, Cuddy, Sarah, Mangion, David, Hardwick, Anne, Markova, Skarlet, Lawrence, Tara, Constantin, Carmen, Fletcher, Jo, Thomas, Isobel, Pettitt, Kerry, Sekaran, Lakshmanan, Tate, Margaret, Bharaj, Kiranjit, Simon, Rohan, Justin, Frances, Sethuraman, Sakthivel, Phiri, Duke, Mohammed, Niaz, Chauhan, Meena, Elfandi, Khaled, Khan, Uzma, Eveson, David, Mistri, Amit, Manning, Lisa, Khan, Shagufta, Patel, Champa, Moqsith, Mohammed, Sattar, Saira, Lam, Man Yee, Musarrat, Kashif, Stephens, Claire, Kalathil, Latheef, Miller, Richard, Salehin, Maqsud, Gautam, Nikki, Bailey, Duncan, Amor, Kelly, Meir, Julie, Nicolson, Anne, Imam, Javed, Wood, Lisa, White, Julie, Sajid, Mahmud, Ghaly, George, Ball, Margaret, Gascoyne, Rachel, Proeschel, Harald, Sharpe, Simon, Horton, Sarah, Beaves, Emily, Jones, Stephanie, Yip, Brigitte, Bell, Murdina, MacLiver, Linda, MacInnes, Brian, Sims, Don, Hurley, Jennifer, Willmot, Mark, Sutton, Claire, Littleton, Edward, Maiden, Susan, Jones, Rachael, Cunningham, James, Green, Carole, Bates, Michelle, Shekhar, Raj, Gilham, Ellie, Ahmed, Iman, Crown, Rachel, Fuller, Tracy, Goorah, Neetish, Bell, Angela, Kelly, Christine, Singh, Arun, Walford, Jamie, Tomlinson, Benjamin, Patel, Farzana, Duberley, Stephen, Kane, Ingrid, Rajkumar, Chakravarthi, Gaylard, Jane, Breeds, Joanna, Gainsborough, Nicola, Pitt-Ford, Alexandra, Barbon, Emma, Latter, Laura, Thompson, Philip, Hervey, Simon, Krishnamoorthy, Shrivakumar, Vassallo, Joseph, Walter, Deborah, Cochrane, Helen, Srinivasan, Meena, Campbell, Robert, Donaldson, Denise, Motherwell, Nichola, Hurford, Frances, Mukherjee, Indranil, Kenton, Antony, Nyabadza, Sheila, Martin, Irene, Hunt, Benjamin, Hassan, Hardi, O'Toole, Sarah, Dallol, Bander, Putterill, Janet, Jha, Ratneshwari, Gallifent, Rachel, Kakar, Puneet, Pusalkar, Aparna, Chan, kelly, Dangri, Puneet, Beadle, Hannah, Cook, Angela, Crabtree, Karen, Subramonian, Santhosh, Owusu-Agyei, Peter, Temple, Natalie, Butterworth-Cowin, Nicola, Ragab, Suzanne, Knops, Kerstin, Jinks, Emma, Dickson, Christine, Gleave, Laura, Dube, Judith, Leggett, Jacqui, Garcia, Tatiana, Ispoglou, Sissy, Evans, Rachel, Ankolekar, Sandeep, Hayes, Anne, Ni, Hlaing, Rahman, Bithi, Milligan, Josette, Graham, Carol, Jose, Josin, Keegan, Breffni, Kelly, Jim, Dewar, Richard, White, James, and Thomas, Kelly

Published
2019

9. A Comprehensive Review of the Diagnostic and Treatment Methods for Ovarian Cancer

Author

Davis, Michelle and Davis, Michelle

Abstract

Ovarian cancer is amongst the most life-threatening malignancy of the female reproductive system, whereas 90% of those ovarian cancers are epithelial with an overall poor five-year survival rate of 44% across all stages and all races [1]–[2], [31]. This paper aims to review the current treatment and diagnostic strategies for ovarian cancer [3]. Using grounded substantial research, multiple figures were developed to show the relations of ovarian cancer diagnostics and ovarian cancer therapeutics. It is a great start to look into what may be causing most patients to become resistant to the current standard of care, platinum-based chemotherapeutics, for ovarian cancer [4]. A comprehensive literature review will be used to understand the genetic basis of the disease and possible cancer growth patterns, so we could possibly introduce better diagnostics and therapeutics [5]. The findings show that there are a variety of treatments options other than the standard of care, platinum-based therapy [6]. Nanoparticle encapsulation therapy is one way that has been approved by the FDA to therapeutically treat ovarian cancer without the platinum resistant side effects [7]. Also, the discovery of different diagnostics for ovarian cancer can help with better individualized treatments for patients with different forms of ovarian cancer [8]. Currently, the only serous diagnostic test for the detection of ovarian cancer is high levels of Cancer Antigen 125 (CA-125), which is only shown in 50% of early staged ovarian cancers [16]. The main treatment option for ovarian cancer is platinum-based drugs, in which most cases of patients with ovarian cancer will become resistant. Detecting and treating ovarian cancer while the cells are small, contained, and still in the early stages in vivo still remains to be a challenge [9]. Here, we will demonstrate the bioelectrical interactions of the ovarian cancer cells fused with the magnetic iron oxide nanoparticles with the use of an MRI. The findi

Published
2018

10. The efficacy of vigorous-intensity exercise as an aid to smoking cessation in adults with elevated anxiety sensitivity: study protocol for a randomized controlled trial

Author

Smits, Jasper A J, Smits, Jasper A J, Zvolensky, Michael J, Rosenfield, David, Marcus, Bess H, Church, Timothy S, Frierson, Georita M, Powers, Mark B, Otto, Michael W, Davis, Michelle L, DeBoer, Lindsey B, Briceno, Nicole F, Smits, Jasper A J, Smits, Jasper A J, Zvolensky, Michael J, Rosenfield, David, Marcus, Bess H, Church, Timothy S, Frierson, Georita M, Powers, Mark B, Otto, Michael W, Davis, Michelle L, DeBoer, Lindsey B, and Briceno, Nicole F

Abstract

Background Although cigarette smoking is a leading cause of death and disability in the United States (US), over 40 million adults in the US currently smoke. Quitting smoking is particularly difficult for smokers with certain types of psychological vulnerability. Researchers have frequently called attention to the relation between smoking and anxiety-related states and disorders, and evidence suggests that panic and related anxiety vulnerability factors, specifically anxiety sensitivity (AS or fear of somatic arousal), negatively impact cessation. Accordingly, there is merit to targeting AS among smokers to improve cessation outcome. Aerobic exercise has emerged as a promising aid for smoking cessation for this high-risk (for relapse) group because exercise can effectively reduce AS and other factors predicting smoking relapse (for example, withdrawal, depressed mood, anxiety), and it has shown initial efficacy for smoking cessation. The current manuscript presents the rationale, study design and procedures, and design considerations of the Smoking Termination Enhancement Project (STEP). Methods STEP is a randomized clinical trial that compares a vigorous-intensity exercise intervention to a health and wellness education intervention as an aid for smoking cessation in adults with elevated AS. One hundred and fifty eligible participants will receive standard treatment (ST) for smoking cessation that includes cognitive behavioral therapy (CBT) and nicotine replacement therapy (NRT). In addition, participants will be randomly assigned to either an exercise intervention (ST+EX) or a health and wellness education intervention (ST+CTRL). Participants in both arms will meet 3 times a week for 15 weeks, receiving CBT once a week for the first 7 weeks, and 3 supervised exercise or health and wellness education sessions (depending on randomization) per week for the full 15-week intervention. Participants will be asked to set a quit date for 6 weeks after the baseline

Published
2012

11. Evaluation of Emergency Medicine Community Educational Program

Author

Garcia, Estevan Adan, Garcia, Estevan Adan, Likourezos, Antonios, Ramsay, Carl, Hoffman, Sherry, Niles, Christopher, Pearl-Davis, Michelle, Podolsky, Seth, Davidson, Steven J, Garcia, Estevan Adan, Garcia, Estevan Adan, Likourezos, Antonios, Ramsay, Carl, Hoffman, Sherry, Niles, Christopher, Pearl-Davis, Michelle, Podolsky, Seth, and Davidson, Steven J

Abstract

Out-of-hospital emergencies occur frequently, and laypersons are often the first to respond to these events. As an outreach to our local communities, we developed “Basic Emergency Interventions Everyone Should Know,” a three-hour program addressing cardiopulmonary resuscitation and automated external defibrillator use, heart attack and stroke recognition and intervention, choking and bleeding interventions and infant and child safety. Each session lasted 45 minutes and was facilitated by volunteers from the emergency department staff. A self-administered 13-item questionnaire was completed by each participant before and after the program. A total of 183 participants completed the training and questionnaires. Average score pre-training was nine while the average score post-training was 12 out of a possible 13 (P< .0001). At the conclusion of the program 97% of participants felt the training was very valuable and 100% would recommend the program to other members of their community. [West J Emerg Med. 2010;11(5):416-418.]

Published
2010

12. Estimated contribution of hemoglobin and myoglobin to near infrared spectroscopy

Author

Davis, Michelle L. and Davis, Michelle L.

Abstract

Near infrared spectroscopy is currently routinely used to assess tissue (muscle) oxygenation at rest and during exercise. While most investigators assume that hemoglobin ([Hb]) is the major contributor to the responses seen during exercise, the relative contribution of myoglobin ([Mb]) to the NIRS signals remains controversial. PURPOSE: a) To calculate the range of light absorbing potential (LAP) of hemoglobin and myoglobin in mammalian skeletal muscle at rest based on analysis of published chemical and morphometric data in humans and other mammals (Part 1), and b) use the information in a) to interpret changes in total [Hb+Mb] from NIRS during exercise (Part 2). METHODS: Part 1: Information was retrieved from five published studies with regard to capillary density (#caps/mm2) and [Mb] in skeletal muscle of human, horse and rat. Preference was given to studies in which both measurements were provided for the same muscles. [Hb] in skeletal muscle was estimated as a function of capillary density, [Hb] in systemic blood, and the ratio of capillary-to-systemic hematocrit at rest and during exercise. Part 2: Changes in total [Hb] + [Mb] (as t[Hb+Mb]) from published NIRS data obtained from human subjects performing cycling or knee extension exercise were interpreted in the context of the results of Part 1. RESULTS: Part 1: Individual group mean values for skeletal muscle [Mb] in the literature ranged from 0.25-0.67 mM in human samples, with a similar range for muscles of the rat hindlimb; horse limb muscles tended to be higher (up to 1.0 mM). Capillary densities ranged from ~200 to 600 caps/mm2 in human and rat muscles, and up to 800 caps/mm2 in horse muscle. Assuming a resting capillary hematocrit of 22% and 4 fold greater LAP for each mole [Hb] vs [Mb], the resulting estimation of capillary [Hb] ranged from ~0.03 to 0.09 mM in human and rat muscles, and up to ~0.13 mM in horse muscles. The results suggest that [Mb] could contribute ~50-70% of the total LAP at rest in human skeletal muscle. Part 2: With exercise, total heme by NIRS can increase ⁹́Æ 30% in individual human subjects. Assuming this increase reflects only increased [Hb], this fits well with the observed increase in capillary hematocrit with exercise. CONCLUSIONS: 1) In skeletal muscle at rest, [Mb] is likely to be at least as significant a light absorbing heme as is [Hb] in most mammalian muscles, including the human leg. 2) Observed increases in t[Hb+Mb] with NIRS during exercise can be explained by an increase in capillary hematocrit, even in the presence of significant [Mb].

Published
2009

13. Assessment of the South Atlantic Red Porgy (Pagrus pagrus) Population Under a Moratorium

Author

Davis, Michelle Leigh and Davis, Michelle Leigh

Abstract

Red porgy Pagrus pagrus is a reef fish important to both recreational and commercial fisheries off the coast of the southeastern United States. Stock assessments performed on this species since 1985 have shown a population in decline. As a result, a number of management actions were put in place, including a harvest moratorium in 1999. Stock assessments for many marine species, including red porgy, rely on a combination of fishery-dependent and fishery-independent data. When a moratorium is in place, the flow of fishery-dependent data is interrupted, making assessments more reliant on fishery-independent information. To investigate how loss of fishery-dependent data, as during a moratorium, would affect stock assessment results for red porgy, I conducted model simulations to represent moratoria of various durations. The most recent red porgy stock assessment model developed during a 2002 workshop was used as a tool in these simulations. I found that biological reference points, such as biomass and fishing mortality, and population projections were more variable for longer simulated moratoria. When fishery-dependent data were removed, minor fluctuations in length and age frequencies resulted in larger fluctuations in estimates of biological reference points. The simulated moratoria also resulted in a slight bias toward over-estimating stock productivity. Similar simulations and analyses were conducted to determine the effects of reducing fishery-independent data from the Marine Resources Monitoring, Assessment, and Prediction (MARMAP) program. Length and age data of reduced MARMAP sample sizes were bootstrapped from original data, and used as input for the stock assessment model. Biological reference points and population projections were more variable for small MARMAP sample sizes, due to the incomplete representation of the length and age frequencies of the population. Reduced sample sizes also showed a slight bias toward predicting a more productive populat

Published
2003

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