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2. Definition and measurement of post-COVID-19 conditions in real-world practice: a global systematic literature review

Author

Yang, Jingyan, primary, Markus, Kristen, additional, Andersen, Kathleen Michelle, additional, Rudolph, Abby E, additional, McGrath, Leah J, additional, Nguyen, Jennifer L, additional, Kyaw, Moe H, additional, Whittle, Isabelle, additional, Blazos, Vasileios, additional, Heron, Louise, additional, and Spinardi, Julia Regazzini, additional

Published
2024
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3. End-to-end listening agent for audiovisual emotional and naturalistic interactions

Author

Haddad, Kevin EI, Rizk, Yara, Heron, Louise, Hajj, Nadine, Zhao, Yong, Kim, Jaebok, Trong, Trung Ngo, Lee, Minha, Doumit, Marwan, Lin, Payton, Kim, Yelin, Çakmak, Hüseyin, Human Technology Interaction, Faculty of Engineering, and Electronics and Informatics

Subjects
Head movement, Multimodal synthesis, lcsh:Fine Arts, Computer science, 02 engineering and technology, Nonverbal Expression Detection, Smile, Nonverbal Expression Synthesis, Listening agent, Human–computer interaction, 0202 electrical engineering, electronic engineering, information engineering, media_common, Sequence-to-Sequence Prediction Systems, Eyebrow movement, Eyebrow Movement, 06 humanities and the arts, Non-verbal expression synthesis, Computer Science Applications, 0602 languages and literature, 020201 artificial intelligence & image processing, Visual Arts and Performing Arts, Nonverbal expression detection, Speech emotion recognition, media_common.quotation_subject, Emotion classification, Head Movement, Concatenation, Nonverbal expression synthesis, Conservation, Paralanguage, Laughter, Nonverbal communication, ComputerApplications_MISCELLANEOUS, Active listening, Conversation, Dyadic conversation database, 060201 languages & linguistics, Speech Emotion Recognition, Emotion database, lcsh:NX1-820, business.industry, Sequence-to-sequence prediction systems, Deep learning, Non-verbal communication, Dyadic Conversa, lcsh:Arts in general, Emotion Database, Listening Agent, Multimodal Synthesis, lcsh:N, Artificial intelligence, business, Music
Abstract

In this work, we established the foundations of a framework with the goal to build an end-to-end naturalistic expressive listening agent. The project was split into modules for recognition of the user’s paralinguistic and nonverbal expressions, prediction of the agent’s reactions, synthesis of the agent’s expressions and data recordings of nonverbal conversation expressions. First, a multimodal multitask deep learning-based emotion classification system was built along with a rule-based visual expression detection system. Then several sequence prediction systems for nonverbal expressions were implemented and compared. Also, an audiovisual concatenation-based synthesis system was implemented. Finally, a naturalistic, dyadic emotional conversation database was collected. We report here the work made for each of these modules and our planned future improvements., Journal of Science and Technology of the Arts, v. 10 n. 2 (2018): eNTERFACE 2017

Published
2018
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4. Perceptions of usability and design for prefilled insulin delivery devices for patients with type 2 diabetes

Author

Heron, Louise, Reaney, Matthew, Hermanns, Norbert, Abetz, Linda, and Gregg, Laura

Subjects
Diabetics -- Surveys -- Beliefs, opinions and attitudes -- Drug therapy, Health
Abstract

Abstract Although many patients with type 2 diabetes are initially managed through lifestyle modification, most eventually require insulin therapy. However, insulin initiation is often delayed because of factors such as [...]

Published
2013

5. Additional file 1: of Critical inhaler errors in asthma and COPD: a systematic review of impact on health outcomes

Author

Usmani, Omar, Lavorini, Federico, Marshall, Jonathan, Dunlop, William, Heron, Louise, Farrington, Emily, and Dekhuijzen, Richard

Abstract

One supplementary file is associated with this manuscript: “Online Resource – Critical handling errors in asthma and COPD: A systematic review of impact on health outcomes”. This contains: search strategies and details of the analysis conducted within this literature review (Table S1); a breakdown of grouped critical errors described in the literature for different inhaler device types (Table S2); summaries of pre-existing known publications that show associations between poor disease control, economic burden and poor QoL (Table S3); definitions of a ‘critical’ error provided by studies captured within the literature review (Table S4). This file is named: “Critical handling errors data supplement update v8_0”. (DOCX 588 kb)

Published
2018
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7. Basic science232. Certolizumab pegol prevents pro-inflammatory alterations in endothelial cell function

Author

Heathfield, Sarah, Parker, Ben, Zeef, Leo, Bruce, Ian, Alexander, Yvonne, Collins, Fraser, Stone, Michael, Wang, Edward, Williams, Anwen S., Wright, Helen L., Thomas, Huw B., Moots, Robert J., Edwards, Steven W., Bullock, Craig, Chapman, Victoria, Walsh, David A., Mobasheri, Ali, Kendall, David, Kelly, Sara, Bayley, Rachel, Buckley, Chris D., Young, Stephen P., Rump-Goodrich, Lisa, Middleton, Jim, Chen, Liye, Fisher, Roman, Kollnberger, Simon, Shastri, Nilabh, Kessler, Benedikt M., Bowness, Paul, Nazeer Moideen, Abdul, Evans, Laura, Osgood, Louise, Jones, Simon A., Nowell, Mari A., Mahadik, Younis, Young, Stephen, Morgan, Matthew, Gordon, Caroline, Harper, Lorraine, Giles, Joanna L., Paul Morgan, B., Harris, Claire L., Rysnik, Oliwia J., McHugh, Kirsty, Payeli, Sravan, Marroquin, Osiris, Shaw, Jacqueline, Renner, Christoph, Nayar, Saba, Cloake, Tom, Bombardieri, Michele, Pitzalis, Costantino, Buckley, Chris, Barone, Francesca, Lane, Peter, Coles, Mark, Williams, Emma L., Edwards, Christopher J., Cooper, Cyrus, Oreffo, Richard O., Dunn, Sara, Crawford, Aileen, Wilkinson, Mark, Le Maitre, Christine, Bunning, Rowena, Daniels, Jodie, Phillips, Kate L. E., Chiverton, Neil, Le Maitre, Christine L., Shaw, Jackie, Ridley, Anna, Wong-Baeza, Isabel, Keidel, Sarah, Chan, Antoni, Gullick, Nicola J., Abozaid, Hanan S., Jayaraj, David M., Evans, Hayley G., Scott, David L., Choy, Ernest H., Taams, Leonie S., Hickling, M., Golor, G., Jullion, A., Shaw, S., Kretsos, K., Bari, Syed F., Rhys-Dillon, Brian, Amos, Nicholson, Siebert, Stefan, Bunning, Rowena D., Haddock, Gail, Cross, Alison K., Kate, I., Phillips, E., Cross, Alison, Bunning, Rowena A. D., Ceeraz, Sabrina, Spencer, Jo, Choy, Ernest, Corrigall, Valerie, Crilly, Anne, Palmer, Helen, Lockhart, John, Plevin, Robin, Ferrell, William R., McInnes, Iain, Hutchinson, David, Perry, Liz, DiCicco, Maria, Humby, Frances, Kelly, Stephen, Hands, Rebecca, McInnes, Ian, Taylor, Peter, Mehta, Puja, Mitchell, Adam, Tysoe, Carolyn, Caswell, Richard, Owens, Martina, Vincent, Tonia, Hashmi, Tahir M., Price-Forbes, Alec, Sharp, Charlotte A., Murphy, Helen, Wood, Elizabeth F., Doherty, Teresa, Sheldon, Jo, Sofat, Nidhi, Goff, Iain, Platt, Philip N., Abdulkader, Rita, Clunie, Gavin, Ismajli, Mediola, Nikiphorou, Elena, Young, Adam, Tugnet, Nicola, Dixey, Josh, Banik, Snehashish, Alcorn, Desmond, Hunter, John, Win Maw, Win, Patil, Pravin, Hayes, Fiona, Main Wong, Way, Borg, Frances A., Dasgupta, Bhaskar, Malaviya, Anshuman P., Ostor, Andrew J., Chana, Jasroop K., Ahmed, Azeem A., Edmonds, Sally, Coward, Lucy, Borg, Frances, Heaney, Jonathan, Amft, Nicole, Simpson, John, Dhillon, Veena, Ayalew, Yezenash, Khattak, Fazlihakim, Gayed, Mary, Amarasena, Roshan I., McKenna, Frank, Mc Laughlin, Maeve, Baburaj, Krishnan, Fattah, Zozik, Ng, Nora, Wilson, Jo, Colaco, Bernard, Williams, Mark R., Adizie, Tochukwu, Casey, Matthew, Lip, Stefanie, Tan, Shaun, Anderson, David, Robertson, Calum, Devanny, Ian, Field, Max, Walker, David, Robinson, Sandra, Ryan, Sarah, Hassell, Andrew, Bateman, James, Allen, Maggie, Davies, David, Crouch, Carina, Walker-Bone, Karen, Gainsborough, Nicola, Lutalo, Pamela M., Davies, Ursula M., Mckew, Jennifer R., Millar, Auleen M., Wright, Stephen A., Bell, Aubrey L., Thapper, Muryum, Roussou, Thalia, Cumming, Jo, Hull, Richard G., McKeogh, John, O'Connor, Mortimer B., Hassan, Ahmed I., Bond, Ursula, Swan, Joan, Phelan, Mark J., Coady, David, Kumar, Namita, Farrow, Luke, Bukhari, Marwan, Oldroyd, Alexander G., Greenbank, Cathi, McBeth, John, Duncan, Rosie, Brown, Deborah, Horan, Michael, Pendleton, Neil, Littlewood, Alison, Cordingley, Lis, Mulvey, Matthew, Curtis, Elizabeth M., Cole, Zoe A., Crozier, Sarah R., Georgia, Ntani, Robinson, Siân M., Godfrey, Keith M., Sayer, Avan A., Inskip, Hazel M., Harvey, Nicholas C., Davies, Rebecca, Mercer, Louise, Galloway, James, Low, Audrey, Watson, Kath, Lunt, Mark, Symmons, Deborah, Hyrich, Kimme, Chitale, Sarang, Estrach, Cristina, Goodson, Nicola J., Rankin, Elizabeth, Jiang, C. Q., Cheng, K. K., Lam, T. H., Adab, Peymané, Ling, Stephanie, Humphreys, Jennifer, Ellis, Corrinne, Bunn, Diane, Verstappen, Suzanne M., Fluess, Elisa, Macfarlane, Gary J., Bond, Christine, Jones, Gareth T., Scott, Ian C., Steer, Sophia, Lewis, Cathryn M., Cope, Andrew, Mulvey, Matthew R., Lovell, Karina, Keeley, Philip, Woby, Steve, Beasley, Marcus, Viatte, Sebastien, Plant, Darren, Fu, Bo, Solymossy, Csilla, Worthington, Jane, Barton, Anne, Williams, Frances M., Osei-Bordom, Daniel-Clement, Popham, Maria, MacGregor, Alex, Spector, Tim, Little, Jayne, Herrick, Ariane, Pushpakom, S., Ennis, H., McBurney, H., Worthington, J., Newman, W., Ibrahim, Ibrahim, Morgan, Anne, Wilson, Anthony, Isaacs, John, Sanderson, Tessa, Hewlett, Sarah, Calnan, Michael, Morris, Marianne, Raza, Karim, Kumar, Kanta, Cardy, Caroline M., Pauling, John D., Jenkins, Jessica, Brown, Sue J., McHugh, Neil, Mugford, Miranda, Davies, Charlotte, Cooper, Nicola, Brooksby, Alan, Dures, Emma, Ambler, Nick, Fletcher, Debbie, Pope, Denise, Robinson, Frances, Rooke, Royston, Gorman, Claire L., Reynolds, Piero, Hakim, Alan J., Bosworth, Ailsa, Weaver, Dan, Kiely, Patrick D., Skeoch, Sarah, Jani, Meghna, Amarasena, Roshan, Rao, Chandini, Macphie, Elizabeth, McLoughlin, Yokemei, Shah, Preeti, Else, Sara, Semenova, Olga, Thompson, Helen, Ogunbambi, Olabambo, Kallankara, Sathish, Patel, Yusuf, Baguley, Elaine, Halsey, John, Severn, Andrew, Selvan, Shilpa, Price, Elizabeth, Husain, Muhammad J., Brophy, Sinead, Phillips, Ceri J., Cooksey, Roxanne, Irvine, Elizabeth, Lendrem, Dennis, Mitchell, Sheryl, Bowman, Simon, Pease, Colin T., Emery, Paul, Andrews, Jacqueline, Sutcliffe, Nurhan, Lanyon, Peter, Gupta, Monica, McLaren, John, Regan, Marian, Cooper, Annie, Giles, Ian, Isenberg, David, Griffiths, Bridget, Foggo, Heather, Edgar, Suzanne, Vadivelu, Saravanan, Ng, Wan-Fai, Iqbal, Itrat, Heron, Louise, Pilling, Claire, Marks, Jonathan, Hull, Richard, Ledingham, Jo, Han, Chenglong, Gathany, Tim, Tandon, Neeta, Hsia, Elizabeth, Taylor, P., Strand, V., Sensky, T., Harta, N., Fleming, S., Kay, Lesley, Rutherford, Michelle, Nicholl, Karl, Eyre, Tracey, Wilson, Gillian, Johnson, Phil, Russell, M., Timoshanko, J., Duncan, G., Spandley, A., Roskell, S., West, Louise, Adshead, Rebecca, Donnelly, Simon P., Ashton, Simon, Tahir, Hasan, Patel, Dipti, Darroch, James, Boulton, John, Ellis, Benjamin, Finlay, Ron, Murray-Brown, William, Priori, R., Tappuni, T., Vartoukian, S., Seoudi, N., Picarelli, G., Fortune, F., Valesini, G., Pitzalis, C., Bombardieri, M., Ball, Elisabeth, Rooney, Madeleine, Bell, Aubrey, Mérida, Angeles Acosta, Tarelli, Edward, Axford, John, Pericleous, Charis, Pierangeli, Silvia S., Ioannou, John, Rahman, Anisur, Alavi, Azita, Hughes, Michael, Evans, Bronwen, Zaki, Awal, Hui, Michelle, Garner, Rozeena, Rees, Frances, Bavakunji, Riaz, Daniel, Priya, Varughese, Sneha, Srikanth, Asha, Andres, Mariano, Pearce, Fiona, Leung, Jansen, Lim, Ken, Oomatia, Amin, Petri, Michelle, Fang, Hong, Birnbaum, Julius, Amissah-Arthur, Maame, Stewart, Kirsty, Jennens, Hannah, Braude, Simon, Sutton, Emily J., Watson, Kath D., Yee, Chee-Seng, Jayne, David, Akil, Mohammed, Ahmad, Yasmeen, D'Cruz, David, Khamashta, Munther, Teh, Lee-Suan, Zoma, Asad, Dey, Ida D., Kenu, Ernest, Garza-Garcia, Acely, Murfitt, Lucy, Driscoll, Paul C., Pierangeli, Silvia, Ioannou, Yiannis, Reynolds, John A., Ray, David W., O'Neill, Terence, Segeda, Iuliia, Shevchuk, Sergii, Kuvikova, Inna, Brown, Nina, Venning, Michael, Dhanjal, Mandish, Mason, Justin, Nelson-Piercy, Catherine, Basu, Neil, Paudyal, Priya, Stockton, Marie, Lawton, Sally, Dent, Caroline, Kindness, Kathy, Meldrum, Gillian, John, Elizabeth, Arthur, Catherine, West, Lucy, Macfarlane, Matthew V., Reid, David M., Yates, Max, Loke, Yoon, Watts, Richard, Christidis, Dimitrios, Williams, Mark, Sivakumar, Rajappa, Misra, Ramnath, Danda, Debashish, Mahendranath, K. M., Bacon, Paul A., and Mackie, Sarah L.

Abstract

Background: Cardiovascular disease is a major comorbidity of rheumatoid arthritis (RA) and a leading cause of death. Chronic systemic inflammation involving tumour necrosis factor alpha (TNF) could contribute to endothelial activation and atherogenesis. A number of anti-TNF therapies are in current use for the treatment of RA, including certolizumab pegol (CZP), (Cimzia ®; UCB, Belgium). Anti-TNF therapy has been associated with reduced clinical cardiovascular disease risk and ameliorated vascular function in RA patients. However, the specific effects of TNF inhibitors on endothelial cell function are largely unknown. Our aim was to investigate the mechanisms underpinning CZP effects on TNF-activated human endothelial cells. Methods: Human aortic endothelial cells (HAoECs) were cultured in vitro and exposed to a) TNF alone, b) TNF plus CZP, or c) neither agent. Microarray analysis was used to examine the transcriptional profile of cells treated for 6 hrs and quantitative polymerase chain reaction (qPCR) analysed gene expression at 1, 3, 6 and 24 hrs. NF-κB localization and IκB degradation were investigated using immunocytochemistry, high content analysis and western blotting. Flow cytometry was conducted to detect microparticle release from HAoECs. Results: Transcriptional profiling revealed that while TNF alone had strong effects on endothelial gene expression, TNF and CZP in combination produced a global gene expression pattern similar to untreated control. The two most highly up-regulated genes in response to TNF treatment were adhesion molecules E-selectin and VCAM-1 (q < 0.00005). This was supported by qPCR analysis at 6 hrs (E-selectin and VCAM-1; 208.5 fold and 40.5, respectively above control) and also at 1, 3 and 24 hrs (E-selectin; 25.6, 93.5, 12.7 fold, respectively) (VCAM-1; 4.7, 47.2, 17.6 fold) (n = 3; p < 0.05). In contrast, HAoECs treated with TNF in combination with CZP exhibited control levels of E-selectin and VCAM-1 transcript (p > 0.2 compared to control; p > 0.05 compared to TNF alone). The NF-κB pathway was confirmed as a downstream target of TNF-induced HAoEC activation, via nuclear translocation of NF-κB and degradation of IκB, effects which were abolished by treatment with CZP. In addition, flow cytometry detected an increased production of endothelial microparticles in TNF-activated HAoECs, which was prevented by treatment with CZP. Conclusions: We have found at a cellular level that a clinically available TNF inhibitor, CZP reduces the expression of adhesion molecule expression, and prevents TNF-induced activation of the NF-κB pathway. Furthermore, CZP prevents the production of microparticles by activated endothelial cells. This could be central to the prevention of inflammatory environments underlying these conditions and measurement of microparticles has potential as a novel prognostic marker for future cardiovascular events in this patient group. Disclosure statement: Y.A. received a research grant from UCB. I.B. received a research grant from UCB. S.H. received a research grant from UCB. All other authors have declared no conflicts of interest

Published
2017

10. Cost-effectiveness of modified-release prednisone in the treatment of moderate to severe rheumatoid arthritis with morning stiffness based on directly elicited public preference values.

Author

Dunlop W, Iqbal I, Khan I, Ouwens M, and Heron L

Abstract

Background: Assessing the cost-effectiveness of treatments in rheumatoid arthritis (RA) is of growing importance due to the chronic nature of the disease, rising treatment costs, and budget-constrained health care systems. This analysis assesses the cost-effectiveness of modified-release (MR) prednisone compared with immediate-release (IR) prednisone for the treatment of morning stiffness due to RA., Methods: A health state transition model was used to categorize RA patients into four health states, defined by duration of morning stiffness. The model applied a 1-year time horizon and adopted a UK National Health Service (NHS) perspective. Health benefits were measured in quality-adjusted life years (QALYs) and the final output was the incremental cost-effectiveness ratio (ICER). Efficacy data were derived from the CAPRA-1 (Circadian Administration of Prednisone in Rheumatoid Arthritis) study, drug costs from the British National Formulary (BNF), and utility data from a direct elicitation time-trade-off (TTO) study in the general population. Sensitivity analyses were conducted., Results: Mean treatment costs per patient were higher for MR-prednisone (£649.70) than for IR-prednisone (£46.54) for the duration of the model. However, the model generated an incremental QALY of 0.044 in favor of MR-prednisone which resulted in an ICER of £13,577. Deterministic sensitivity analyses did not lead to significant changes in the ICER. Probabilistic sensitivity analysis reported that MR-prednisone had an 84% probability of being cost-effective at a willingness-to-pay threshold of £30,000 per QALY. The model only considers drug costs and there was a lack of comparative long-term data for IR-prednisone. Furthermore, utility benefits were not captured in the clinical setting., Conclusion: This analysis demonstrates that, based on the CAPRA-1 trial and directly elicited public preference values, MR-prednisone is a cost-effective treatment option when compared with IR-prednisone for RA patients with morning stiffness over one year, according to commonly applied UK thresholds (£20,000-£30,000 per QALY). Further research into the costs of morning stiffness in RA is required.

Published
2013
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