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5. Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Author

Kaddurah-Daouk, Rima, Kueider-Paisley, Alexandra, Doraiswamy, P. Murali, Blach, Colette, Moseley, Arthur, Thompson, Will, St John-Williams, Lisa, Mahmoudiandehkhordi, Siamak, Tenenbaum, Jessica, Welsh-Balmer, Kathleen, Plassman, Brenda, Saykin, Andrew J., Nho, Kwangsik, Risacher, Shannon L., Kastenmüller, Gabi, Arnold, Matthias, Han, Xianlin, Baillie, Rebecca, Knight, Rob, Dorrestein, Pieter, Brewer, James, Mayer, Emeran, Labus, Jennifer, Baldi, Pierre, Gupta, Arpana, Fiehn, Oliver, Barupal, Dinesh, Meikle, Peter, Mazmanian, Sarkis, Rader, Dan, Kling, Mitchel, Shaw, Leslie, Trojanowski, John, van Duijin, Cornelia, Nevado-Holgado, Alejo, Bennett, David, Krishnan, Ranga, Keshavarzian, Ali, Vogt, Robin, Ikram, Arfan, Hankemeier, Thomas, Thiele, Ines, Price, Nathan, Funk, Cory, Baloni, Priyanka, Jia, Wei, Wishart, David, Brinton, Roberta, Chang, Rui, Farrer, Lindsay, Au, Rhoda, Qiu, Wendy, Würtz, Peter, Koal, Therese, Mangravite, Lara, Krumsiek, Jan, Suhre, Karsten, Newman, John, Moreno, Herman, Foroud, Tatania, Sacks, Frank, Jansson, Janet, Weiner, Michael W., Aisen, Paul, Petersen, Ronald, Jack, Clifford R., Jr., Jagust, William, Trojanowki, John Q., Toga, Arthur W., Beckett, Laurel, Green, Robert C., Morris, John C., Perrin, Richard J., Shaw, Leslie M., Khachaturian, Zaven, Carrillo, Maria, Potter, William, Barnes, Lisa, Bernard, Marie, Gonzalez, Hector, Ho, Carole, Hsiao, John K., Jackson, Jonathan, Masliah, Eliezer, Masterman, Donna, Okonkwo, Ozioma, Perrin, Richard, Ryan, Laurie, Silverberg, Nina, Fleisher, Adam, Sacrey, Diana Truran, Fockler, Juliet, Conti, Cat, Veitch, Dallas, Neuhaus, John, Jin, Chengshi, Nosheny, Rachel, Ashford, Miriam, Flenniken, Derek, Kormos, Adrienne, Montine, Tom, Rafii, Michael, Raman, Rema, Jimenez, Gustavo, Donohue, Michael, Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah, Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Smith, Stephanie, Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth, Sloan, Brittany, Harvey, Danielle, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Schwarz, Christopher, Jones, David, Gunter, Jeff, Kantarci, Kejal, Senjem, Matthew, Vemuri, Prashanthi, Reid, Robert, Fox, Nick C., Malone, Ian, Thompson, Paul, Thomopoulos, Sophia I., Nir, Talia M., Jahanshad, Neda, DeCarli, Charles, Knaack, Alexander, Fletcher, Evan, Tosun-Turgut, Duygu, Chen, Stephanie Rossi, Choe, Mark, Crawford, Karen, Yushkevich, Paul A., Das, Sandhitsu, Koeppe, Robert A., Reiman, Eric M., Chen, Kewei, Mathis, Chet, Landau, Susan, Cairns, Nigel J., Householder, Erin, Franklin, Erin, Bernhardt, Haley, Taylor-Reinwald, Lisa, Korecka, Magdalena, Figurski, Michal, Neu, Scott, Apostolova, Liana G., Shen, Li, Foroud, Tatiana M., Nudelman, Kelly, Faber, Kelley, Wilmes, Kristi, Thal, Leon, Silbert, Lisa C., Lind, Betty, Crissey, Rachel, Kaye, Jeffrey A., Carter, Raina, Dolen, Sara, Quinn, Joseph, Schneider, Lon S., Pawluczyk, Sonia, Becerra, Mauricio, Teodoro, Liberty, Dagerman, Karen, Spann, Bryan M., Vanderswag, Helen, Ziolkowski, Jaimie, Heidebrink, Judith L., Zbizek-Nulph, Lisa, Lord, Joanne L., Mason, Sara S., Albers, Colleen S., Knopman, David, Johnson, Kris, Villanueva-Meyer, Javier, Pavlik, Valory, Pacini, Nathaniel, Lamb, Ashley, Kass, Joseph S., Doody, Rachelle S., Shibley, Victoria, Chowdhury, Munir, Rountree, Susan, Dang, Mimi, Stern, Yaakov, Honig, Lawrence S., Mintz, Akiva, Ances, Beau, Winkfield, David, Carroll, Maria, Stobbs-Cucchi, Georgia, Oliver, Angela, Creech, Mary L., Mintun, Mark A., Schneider, Stacy, Geldmacher, David, Love, Marissa Natelson, Griffith, Randall, Clark, David, Brockington, John, Marson, Daniel, Grossman, Hillel, Goldstein, Martin A., Greenberg, Jonathan, Mitsis, Effie, Shah, Raj C., Lamar, Melissa, Samuels, Patricia, Duara, Ranjan, Greig-Custo, Maria T., Rodriguez, Rosemarie, Albert, Marilyn, Onyike, Chiadi, Farrington, Leonie, Rudow, Scott, Brichko, Rottislav, Kielb, Stephanie, Smith, Amanda, Raj, Balebail Ashok, Fargher, Kristin, Sadowski, Martin, Wisniewski, Thomas, Shulman, Melanie, Faustin, Arline, Rao, Julia, Castro, Karen M., Ulysse, Anaztasia, Chen, Shannon, Sheikh, Mohammed O., Singleton-Garvin, Jamika, Petrella, JeffreyR., James, Olga, Wong, Terence Z., Borges-Neto, Salvador, Karlawish, Jason H., Wolk, David A., Vaishnavi, Sanjeev, Clark, Christopher M., Arnold, Steven E., Smith, Charles D., Jicha, Gregory A., Raslau, Flavius D., Lopez, Oscar L., Oakley, MaryAnn, Simpson, Donna M., Porsteinsson, Anton P., Martin, Kim, Kowalski, Nancy, Keltz, Melanie, Goldstein, Bonnie S., Makino, Kelly M., Ismail, M. Saleem, Brand, Connie, Thai, Gaby, Pierce, Aimee, Yanez, Beatriz, Sosa, Elizabeth, Witbracht, Megan, Kelley, Brendan, Nguyen, Trung, Womack, Kyle, Mathews, Dana, Quiceno, Mary, Levey, Allan I., Lah, James J., Hajjar, Ihab, Cellar, Janet S., Burns, Jeffrey M., Swerdlow, Russell H., Brooks, William M., Silverman, Daniel H.S., Kremen, Sarah, Apostolova, Liana, Tingus, Kathleen, Lu, Po H., Bartzokis, George, Woo, Ellen, Teng, Edmond, Graff-Radford, Neill R., Parfitt, Francine, Poki-Walker, Kim, Farlow, Martin R., Hake, Ann Marie, Matthews, Brandy R., Brosch, Jared R., Herring, Scott, van, Christopher H., Mecca, Adam P., Good, Susan P., MacAvoy, Martha G., Carson, Richard E., Varma, Pradeep, Chertkow, Howard, Vaitekunis, Susan, Hosein, Chris, Black, Sandra, Stefanovic, Bojana, Heyn, Chris (Chinthaka), Robin Hsiung, Ging-Yuek, Kim, Ellen, Mudge, Benita, Sossi, Vesna, Feldman, Howard, Assaly, Michele, Finger, Elizabeth, Pasternak, Stephen, Rachinsky, Irina, Kertesz, Andrew, Drost, Dick, Rogers, John, Grant, Ian, Muse, Brittanie, Rogalski, Emily, Robson, Jordan, Mesulam, M.-Marsel, Kerwin, Diana, Wu, Chuang-Kuo, Johnson, Nancy, Lipowski, Kristine, Weintraub, Sandra, Bonakdarpour, Borna, Pomara, Nunzio, Hernando, Raymundo, Sarrael, Antero, Rosen, Howard J., Miller, Bruce L., Perry, David, Turner, Raymond Scott, Johnson, Kathleen, Reynolds, Brigid, MCCann, Kelly, Poe, Jessica, Sperling, Reisa A., Johnson, Keith A., Marshall, Gad A., Yesavage, Jerome, Taylor, Joy L., Chao, Steven, Coleman, Jaila, White, Jessica D., Lane, Barton, Rosen, Allyson, Tinklenberg, Jared, Belden, Christine M., Atri, Alireza, Clark, Kelly A., Zamrini, Edward, Sabbagh, Marwan, Killiany, Ronald, Stern, Robert, Mez, Jesse, Kowall, Neil, Budson, Andrew E., Obisesan, Thomas O., Ntekim, Oyonumo E., Wolday, Saba, Khan, Javed I., Nwulia, Evaristus, Nadarajah, Sheeba, Lerner, Alan, Ogrocki, Paula, Tatsuoka, Curtis, Fatica, Parianne, Maillard, Pauline, Olichney, John, Carmichael, Owen, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Borrie, Michael, Lee, T.-Y., Bartha, Dr Rob, Johnson, Sterling, Asthana, Sanjay, Carlsson, Cynthia M., Perrin, Allison, Burke, Anna, Scharre, Douglas W., Kataki, Maria, Tarawneh, Rawan, Hart, David, Zimmerman, Earl A., Celmins, Dzintra, Miller, Delwyn D., BolesPonto, Laura L., Smith, Karen Ekstam, Koleva, Hristina, Shim, Hyungsub, Nam, Ki Won, Schultz, Susan K., Williamson, Jeff D., Craft, Suzanne, Cleveland, Jo, Yang, Mia, Sink, Kaycee M., Ott, Brian R., Drake, Jonathan, Tremont, Geoffrey, Daiello, Lori A., Drake, Jonathan D., Ritter, Aaron, Bernick, Charles, Munic, Donna, O'Connelll, Abigail, Mintzer, Jacobo, Wiliams, Arthur, Masdeu, Joseph, Shi, Jiong, Garcia, Angelica, Newhouse, Paul, Potkin, Steven, Salloway, Stephen, Malloy, Paul, Correia, Stephen, Kittur, Smita, Pearlson, Godfrey D., Blank, Karen, Anderson, Karen, Flashman, Laura A., Seltzer, Marc, Hynes, Mary L., Santulli, Robert B., Relkin, Norman, Chiang, Gloria, Lee, Athena, Lin, Michael, Ravdin, Lisa, Petersen, Ron, Neylan, Thomas, Grafman, Jordan, Danowski, Sarah, Nguyen-Barrera, Catherine, Hayes, Jacqueline, Finley, Shannon, Bernstein, Matthew, Senjem, Matt, Foster, Norm, Kim, Sungeun, Sood, Ajay, Blanchard, Kimberly S., Fleischman, Debra, Arfanakis, Konstantinos, Varon, Daniel, Greig, Maria T., Petrella, Jeffrey R., Goldstein, Bonnie, Martin, Kimberly S., Reist, Christopher, Sadowsky, Carl, Martinez, Walter, Villena, Teresa, Rosen, Howard, Marshall, Gad, Peskind, Elaine R., Petrie, Eric C., Li, Gail, Mackin, Scott, Jimenez-Maggiora, Gustavo, Drake, Erin, Donohue, Mike, Nelson, Craig, Bickford, David, Butters, Meryl, Zmuda, Michelle, Reyes, Denise, Faber, Kelley M., Nudelman, Kelly N., Au, Yiu Ho, Scherer, Kelly, Catalinotto, Daniel, Stark, Samuel, Ong, Elise, Fernandez, Dariella, Jo, Taeho, Kim, Junpyo, Bice, Paula, Huynh, Kevin, Wang, Tingting, Meikle, Peter J., and Giles, Corey

Published
2023
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10. Sleep Capital: Linking Brain Health to Wellbeing and Economic Productivity Across the Lifespan.

Author

Golombek, Diego A., Eyre, Harris, Spiousas, Ignacio, Casiraghi, Leandro P., Hartikainen, Kaisa M., Partonen, Timo, Pyykkö, Mika, Reynolds, Charles F., Hynes, William M., Bassetti, Claudio L.A., Berk, Michael, Hu, Kun, and Ibañez, Agustín

Abstract

• What is the primary question addressed by this study? We propose the notion of "sleep capital" defined as the compound social, economic, and health gain derived from adequate sleep parameter, including sleep debt/sleep credit, sleep regularity/social jetlag and light exposure/time zones across the lifespan. • What is the main finding of this study? Sleep capital results in increased well-being productivity and economic outcomes for the individual and for societies. We also outline the multilevel impact of sleep on cognitive abilities, mental/brain health, and economic indicators, providing evidence for the substantial returns on investment in sleep health initiatives. • What is the meaning of the finding? We propose specific elements and main variables to develop specific indexes of sleep capital to address its impacts on health, wellbeing and productivity, together with policy recommendations, workplace interventions, and individual strategies to promote sleep health/sleep capital, especially in the aging population. Sleep capital contributes to individual and societal wellbeing, productivity, and economic outcomes and involves a novel aspect of brain capital. It encompasses the quality and quantity of sleep as integral components that influence cognitive abilities, mental and brain health, and physical health, affecting workplace productivity, learning, decision-making, and overall economic performance. Here, we bring a framework to understand the complex relationship between sleep quality, health, wellbeing, and economic productivity. Then we outline the multilevel impact of sleep on cognitive abilities, mental/brain health, and economic indicators, providing evidence for the substantial returns on investment in sleep health initiatives. Moreover, sleep capital is a key factor when considering brain health across the lifespan, especially for the aging population. We propose specific elements and main variables to develop specific indexes of sleep capital to address its impacts on health, wellbeing and productivity. Finally, we suggest policy recommendations, workplace interventions, and individual strategies to promote sleep health and brain capital. Investing in sleep capital is essential for fostering a healthier, happier, fairer and more productive society. [ABSTRACT FROM AUTHOR]

Published
2025
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15. Development of a simplified and inexpensive RNA depletion method for plasmid DNA purification using size selection magnetic beads (SSMBs)

Author

Wang, Xi, Zhao, Ling, Wu, Xiaoxing, Luo, Huaxiu, Wu, Di, Zhang, Meng, Zhang, Jing, Pakvasa, Mikhail, Wagstaff, William, He, Fang, Mao, Yukun, Zhang, Yongtao, Niu, Changchun, Wu, Meng, Zhao, Xia, Wang, Hao, Huang, Linjuan, Shi, Deyao, Liu, Qing, Ni, Na, Fu, Kai, Hynes, Kelly, Strelzow, Jason, El Dafrawy, Mostafa, He, Tong-Chuan, Qi, Hongbo, and Zeng, Zongyue

Published
2021
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18. Notch signaling: Its essential roles in bone and craniofacial development

Author

Pakvasa, Mikhail, Haravu, Pranav, Boachie-Mensah, Michael, Jones, Alonzo, Coalson, Elam, Liao, Junyi, Zeng, Zongyue, Wu, Di, Qin, Kevin, Wu, Xiaoxing, Luo, Huaxiu, Zhang, Jing, Zhang, Meng, He, Fang, Mao, Yukun, Zhang, Yongtao, Niu, Changchun, Wu, Meng, Zhao, Xia, Wang, Hao, Huang, Linjuan, Shi, Deyao, Liu, Qing, Ni, Na, Fu, Kai, Lee, Michael J., Wolf, Jennifer Moriatis, Athiviraham, Aravind, Ho, Sherwin S., He, Tong-Chuan, Hynes, Kelly, Strelzow, Jason, El Dafrawy, Mostafa, and Reid, Russell R.

Published
2021
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20. Ultrasound screening of paediatric non-alcoholic fatty liver disease (NAFLD): A critical literature review.

Author

Ezenwuba, B.N. and Hynes, C.M.

Abstract

Paediatric NAFLD is an increasing global health concern, which can be effectively managed with early detection. Screening, using accurate, affordable, and accessible tests is recommended, however, there is currently no consensus on the most appropriate tests. Although ultrasound techniques are widely used, their performance against reference tests have not been fully assessed. A literature search of related databases for peer-reviewed original articles published from January 2010–March 2024 was conducted. Appropriate tools were used to systematise and document the search results and selected studies were quality assessed and critically appraised. Extracted data was subjected to thematic analysis and narrative synthesis. Eighteen articles met the inclusion criteria. B-mode and Quantitative ultrasound techniques were compared against MR spectroscopy, MRI-PDFF and Liver biopsy. Liver echogenicity and Steato-scores were the B-mode methods used. The former was less effective, with a maximum reported sensitivity of 70%. The latter reached up to 100% sensitivity, and >80% specificity. Ultrasound performed better with moderate-severe steatosis. There was not enough evidence to support steatosis grading, possibly due to small sample sizes and lack of established cut-off values. QUS (Quantitative Ultrasound)) methods including Continuous Attenuation Parameter (CAP), Attenuation Coefficient (AC), Ultrasound derived fat fraction (UDFF), Tissue Scatter Imaging (TSI) Hepato-Renal Index (HRI), Heterogeneity Index (HIA), Computer Assisted Ultrasound (CAUS) and Picture Archiving and Communication System (PACS-based Image analysis performed better than B-mode methods. Although QUS demonstrated excellent performance, with sensitivity and specificity of up to 100%, this will require further verification before implementation in practice. Ultrasound techniques can effectively be used for paediatric NAFLD screening, especially in higher-risk subjects. The steato-scores method is currently recommendable for this, with excellent potential for the use of QUS, after cut-off values and validation requirements have been addressed. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Adapting the Zero Suicide framework to the adult emergency department setting: Strategies for nurse leaders.

Author

Roth, Brandon, Chen, Jason I., Nagarkatti-Gude, David R., Pfeiffer, Paul N., Newgard, Craig D., Hynes, Denise M., and Boudreaux, Edwin D.

Abstract

The ED has been increasingly recognized as a key setting for suicide prevention. Zero Suicide (ZS) is an aspirational goal to eliminate suicide for all patients within a health care system through utilization of best practices. However, there has been limited exploration of ZS implementation within the ED. As ED nurses play an important role in suicide prevention through their close contact with patients at risk for suicide, ZS implementation would benefit from tailored strategies for ED nurse leadership. We describe the ZS framework and provides strategies for nurse leaders to adapt each ZS component in the adult ED. • Research highlights the importance of emergency department-based suicide prevention. • Zero Suicide is a framework for continuous quality improvement in suicide prevention. • ED nursing staff can adapt evidence-based practices to support Zero Suicide efforts. [ABSTRACT FROM AUTHOR]

Published
2024
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31. The wonders of BMP9: From mesenchymal stem cell differentiation, angiogenesis, neurogenesis, tumorigenesis, and metabolism to regenerative medicine

Author

Mostafa, Sami, Pakvasa, Mikhail, Coalson, Elam, Zhu, Allen, Alverdy, Alex, Castillo, Hector, Fan, Jiaming, Li, Alex, Feng, Yixiao, Wu, Di, Bishop, Elliott, Du, Scott, Spezia, Mia, Li, Alissa, Hagag, Ofir, Deng, Alison, Liu, Winny, Li, Mingyang, Ho, Sherwin S., Athiviraham, Aravind, Lee, Michael J., Wolf, Jennifer Moriatis, Ameer, Guillermo A., Luu, Hue H., Haydon, Rex C., Strelzow, Jason, Hynes, Kelly, He, Tong-Chuan, and Reid, Russell R.

Published
2019
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38. Status of the ITER remote experimentation centre

Author

Farthing, J., Ozeki, T., Clement Lorenzo, S., Nakajima, N., Sartori, F., De Tommasi, G., Manduchi, G., Barbato, P., Rigoni, A., Vitale, V., Giruzzi, G., Mattei, M., Mele, A., Imbeaux, F., Artaud, J.-F., Robin, F., Noe, J., Joffrin, E., Hynes, A., Hemming, O., Wheatley, M., O’hira, S., Ide, S., Ishii, Y., Matsukawa, M., Kubo, H., Totsuka, T., Urano, H., Naito, O., Hayashi, N., Miyata, Y., Namekawa, M., Wakasa, A., Oshima, T., Nakanishi, H., and Yamanaka, K.

Published
2018
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43. Win-Paired Cues Modulate the Effect of Dopamine Neuron Sensitization on Decision Making and Cocaine Self-administration: Divergent Effects Across Sex.

Author

Hynes, Tristan J., Chernoff, Chloe S., Hrelja, Kelly M., Tse, Maric T.L., Avramidis, Dimitrios K., Lysenko-Martin, Melanie R., Calderhead, Lucas, Kaur, Sukhbir, Floresco, Stan B., and Winstanley, Catharine A.

Subjects
*DOPAMINERGIC neurons, *DOPAMINE receptors, *COMPULSIVE gambling, *DECISION making, *COCAINE, *GAMBLING, *RISK-taking behavior
Abstract

Both psychostimulant use and engagement with probabilistic schedules of reward sensitize the mesocorticolimbic dopamine (DA) system. Such behaviors may act synergistically to explain the high comorbidity between stimulant use and gambling disorder. The salient audiovisual stimuli of modern electronic gambling may exacerbate the situation. To probe these interactions, we sensitized ventral tegmental area DA neurons via chronic chemogenetic stimulation while rats (n = 134) learned a rat gambling task in the presence or absence of casino-like cues. The same rats then learned to self-administer cocaine. In a separate cohort (n = 25), we confirmed that our chemogenetic methods sensitized the locomotor response to cocaine and potentiated phasic excitability of ventral tegmental area DA neurons through in vivo electrophysiological recordings. In the absence of cues, sensitization promoted risk taking in both sexes. When rewards were cued, sensitization expedited the development of a risk-preferring phenotype in males while attenuating cue-induced risk taking in females. While these results provide further confirmation that ventral tegmental area DA neurons critically modulate risky decision making, they also reveal stark sex differences in the decisional impact that dopaminergic signals exert when winning outcomes are cued. As previously observed, risky decision making on the cued rat gambling task increased as both males and females learned to self-administer cocaine. The combination of DA sensitization and win-paired cues while gambling led to significantly greater cocaine taking, but these rats did not show any increase in risky choice as a result. Therefore, cocaine and heavily cued gambles may partially substitute for each other once the DA system has been rendered labile through sensitization, thereby compounding addiction risk across modalities. [ABSTRACT FROM AUTHOR]

Published
2024
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50. The strategic use of biopsy in the diagnosis of coeliac disease in adults.

Author

Deane, Charlene, O'Connor, Eoghan, O'Donovan, Helen, McHale, Ciaran, Alvain, Aoife, Shannon, Eileen, Tormey, Vincent, Hynes, Sean O., and Byrnes, Valerie

Abstract

The paediatric guidelines support the use of the 'No Biopsy Approach' in the diagnosis of coeliac disease (CD). We aimed to determine the correlation between anti tissue transglutaminase (anti-TTG serology) ≥10 times the upper limit of normal (ULN), using the Celikey ® ELiA assay and histological findings. Our secondary aim was to determine the safety of this approach in our centre. A retrospective analysis of adult patients referred to a tertiary referral centre with raised anti-TTG titres and/or histological changes of coeliac on D2 biopsies between 2014 – 2019. Excluded patients were those who did not have a biopsy performed, or whose biopsy was unavailable for review, selective IgA deficiency, and gluten elimination prior to biopsy. Biopsies were classified according to Marsh, by two independent pathologists, blinded to the anti-TTG titre. 164 patients had positive anti-TTG serology and duodenal biopsy in our centre prior to starting a gluten free diet (GFD) in the period 2014 - 2019. Of these 164 patients (median age 40yrs, 62% female), 68 (33%) had an anti-TTG titre ≥10 x ULN, 99% of which had a Marsh grading ≥ 3 and 1% had a Marsh of 2 on biopsy. 91% had either a normal index gastroscopy or findings of mild gastritis/oesophagitis. We found a 98.5% positive predictive value (PPV) of determining CD (i.e., Marsh ≥ 3) in those with an anti-TTG ≥10 x ULN. In those with moderate to high-risk clinical suspicion of CD we propose that duodenal biopsy is unnecessary for diagnosis. [ABSTRACT FROM AUTHOR]

Published
2023
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