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1,548 results on '"Bailey, Steven"'

1. Perimacular Atrophy Following Voretigene Neparvovec-Rzyl Treatment in the Setting of Previous Contralateral Eye Treatment With a Different Viral Vector

Author

Ku, Cristy A, Igelman, Austin D, Huang, Samuel J, Bailey, Steven T, Lauer, Andreas K, Duncan, Jacque L, Weleber, Richard G, Yang, Paul, and Pennesi, Mark E

Subjects
Biomedical and Clinical Sciences, Ophthalmology and Optometry, Gene Therapy, Eye Disease and Disorders of Vision, Neurosciences, Clinical Research, Biotechnology, Rare Diseases, Genetics, Clinical Trials and Supportive Activities, Eye, Humans, Retrospective Studies, Genetic Vectors, Genetic Therapy, Male, Female, Child, Visual Acuity, Tomography, Optical Coherence, cis-trans-Isomerases, Dependovirus, Atrophy, Visual Fields, voretigene, chorioretinal atrophy, gene therapy, RPE65, inherited retinal disease, Biomedical Engineering, Opthalmology and Optometry, Ophthalmology and optometry
Abstract

PurposeTo report on cases of unilateral perimacular atrophy after treatment with voretigene neparvovec-rzyl, in the setting of previous contralateral eye treatment with a different viral vector.DesignSingle-center, retrospective chart review.MethodsIn this case series, four patients between the ages of six and 11 years old with RPE65-related retinopathy were treated unilaterally with rAAV2-CB-hRPE65 as part of a gene augmentation clinical trial (NCT00749957). Six to 10 years later the contralateral eyes were treated with the Food and Drug Administration-approved drug, voretigene neparvovec-rzyl. Best-corrected visual acuity (BCVA), fundus photos, ocular coherence tomography, two-color dark-adapted perimetry, full field stimulus threshold testing (FST), and location of subretinal bleb and chorioretinal atrophy were evaluated.ResultsThree out of four patients showed unilateral perimacular atrophy after treatment with voretigene, ranging from five to 22 months after treatment. Areas of robust visual field improvement were followed by areas of chorioretinal atrophy. Despite perimacular changes, BCVA, FST, and subjective improvements in vision and nyctalopia were maintained. Perimacular atrophy was not observed in the first eye treated with the previous viral vector.ConclusionsWe observed areas of robust visual field improvement followed by perimacular atrophy in voretigene treated eyes, as compared to the initially treated contralateral eyes.Translational relevanceCaution is advised when using two different viral vectors between eyes in gene therapy. This may become an important issue in the future with increasing gene therapy clinical trials for inherited retinal dystrophies.

Published
2024

3. Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map

Author

Zang, Pengxiao, Hormel, Tristan T., Wang, Jie, Guo, Yukun, Bailey, Steven T., Flaxel, Christina J., Huang, David, Hwang, Thomas S., and Jia, Yali

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, I.2.0, I.4.0, J.3
Abstract

Deep learning classifiers provide the most accurate means of automatically diagnosing diabetic retinopathy (DR) based on optical coherence tomography (OCT) and its angiography (OCTA). The power of these models is attributable in part to the inclusion of hidden layers that provide the complexity required to achieve a desired task. However, hidden layers also render algorithm outputs difficult to interpret. Here we introduce a novel biomarker activation map (BAM) framework based on generative adversarial learning that allows clinicians to verify and understand classifiers decision-making. A data set including 456 macular scans were graded as non-referable or referable DR based on current clinical standards. A DR classifier that was used to evaluate our BAM was first trained based on this data set. The BAM generation framework was designed by combing two U-shaped generators to provide meaningful interpretability to this classifier. The main generator was trained to take referable scans as input and produce an output that would be classified by the classifier as non-referable. The BAM is then constructed as the difference image between the output and input of the main generator. To ensure that the BAM only highlights classifier-utilized biomarkers an assistant generator was trained to do the opposite, producing scans that would be classified as referable by the classifier from non-referable scans. The generated BAMs highlighted known pathologic features including nonperfusion area and retinal fluid. A fully interpretable classifier based on these highlights could help clinicians better utilize and verify automated DR diagnosis., Comment: This paper has been accepted by IEEE TBME

Published
2022

5. Assessment of Visual Function with Cotoretigene Toliparvovec in X-Linked Retinitis Pigmentosa in the Randomized XIRIUS Phase 2/3 Study

Author

MacLaren, Robert, Aleman, Tomas, Birch, David, Jalil, Assad, Lotery, Andrew, Lam, Byron, Pennesi, Mark, Kay, Christine N., Yusuf, Imram H., Cehajic Kapetanovic, Jasmina, Jolly, Jasleen K., Josan, Amandeep S., Taylor, Laura J., Xue, Kanmin, Nanda, Anika, Buckley, Thomas, Salvetti, Anna Paola, Thulasidharan, Suresh, Kurc, Miguel, Khandhadia, Samir, Dias, Karla Orsine Murta, Baltmr, Abeir, Mandal, Nakul, Tsokolas, Georgios, Ivanova, Tsveta, EL-Faouri, Muhannd, Shaarawy, Sherif, Black, Graeme, Davis, Janet L., Gregori, Ninel Z., Mendoza-Santiesteban, Carlos E., Lauer, Andreas K., Yang, Paul, Bailey, Steven, Spencer, Rand, Fish, Gary E., Wang, Robert, Chong, Deborah, Abbey, Ashkan, Anand, Rajiv, MaGuire, Albert A., Roseman, Robert L., Hazariwala, Kaushik M., Parrott, Brandon, Lam, Byron L., Pennesi, Mark E., Panda, Sushil, Gow, James A., Zhao, Guolin, and MacLaren, Robert E.

Published
2024
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25. The global scene

Author

Pickens, David, Bailey, Steven, and Macalister, Craig

Published
2008

27. The labour market

Author

Pickens, David, Bailey, Steven, and Macalister, Craig

Published
2008

29. Monetary policy

Author

Pickens, David, Bailey, Steven, and Macalister, Craig

Published
2008

30. Government spending

Author

Pickens, David, Bailey, Steven, and Macalister, Craig

Published
2008

37. Atrial Fibrillation Burden and Atrial Shunt Therapy in Heart Failure With Preserved Ejection Fraction

Author

Patel, Ravi B., Reddy, Vivek Y., Komtebedde, Jan, Wegerich, Stephan W., Sekaric, Jadranka, Swarup, Vijay, Walton, Antony, Laurent, Gabriel, Chetcuti, Stanley, Rademann, Matthias, Bergmann, Martin, McKenzie, Scott, Bugger, Heiko, Bruno, Raphael Romano, Herrmann, Howard C., Nair, Ajith, Gupta, Deepak K., Lim, Scott, Kapadia, Samir, Gordon, Robert, Vanderheyden, Marc, Noel, Thomas, Bailey, Steven, Gertz, Zachary M., Trochu, Jean-Noël, Cutlip, Donald E., Leon, Martin B., Solomon, Scott D., van Veldhuisen, Dirk J., Auricchio, Angelo, and Shah, Sanjiv J.

Published
2023
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39. Abstract 16544: A Multicenter Validation of a Noninvasive Brachial Cuff-ECG System for Estimation of Elevated Left Ventricular End Diastolic Pressure

Author

Shavelle, David, Rinderknecht, Derek, Jin, Weiwei, Chiu, W. Brian, Krupa, Asia, Pahlevan, Niema M, Cook, Kendra, Mendelsohn, Farrell, Cawthon, Thomas, Reeves, Ryan, mcnamara, richard, Madder, Ryan D, Nguyen, Hoang, Elsayed, Sarah, Bahadorani, John, Lamont, Daniel, Yang, Tae Y, and Bailey, Steven R

Published
2023
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40. Prediction for 2-Year Vision Outcomes Using Early Morphologic and Functional Responses in the Comparison of Age-related Macular Degeneration Treatments Trials

Author

Williams, David F., Beardsley, Sara, Bennett, Steven, Cantrill, Herbert, Chan-Tram, Carmen, Cheshier, Holly, Damato, Kathyrn, Davies, John, Dev, Sundeep, Enloe, Julianne, Follano, Gennaro, Gilbert, Peggy, Johnson, Jill, Jones, Tori, Mayleben, Lisa, Mittra, Robert, Moos, Martha, Neist, Ryan, Oestreich, Neal, Quiram, Polly, Ramsay, Robert, Ryan, Edwin, Schindeldecker, Stephanie, Snater, John, Steele, Trenise, Selders, Dwight, Tonsfeldt, Jessica, Valardi, Shelly, Fish, Gary Edd, Aguado, Hank A., Arceneaux, Sally, Arnwine, Jean, Bell, Kim, Bell, Tina, Boleman, Bob, Bradley, Patricia, Callanan, David, Coors, Lori, Creighton, Jodi, Crew, Timothy, Cummings, Kimberly, Dock, Christopher, Duignan, Karen, Fuller, Dwain, Gray, Keith, Hendrix, Betsy, Hesse, Nicholas, Jaramillo, Diana, Jost, Bradley, Lash, Sandy, Lonsdale, Laura, Mackens, Michael, Mutz, Karin, Potts, Michael, Sanchez, Brenda, Snyder, William, Solley, Wayne, Tarter, Carrie, Wang, Robert, Williams, Patrick, Perkins, Stephen L., Anderson, Nicholas, Arnold, Ann, Blais, Paul, Googe, Joseph, Higdon, Tina T., Hunt, Cecile, Johnson, Mary, Miller, James, Moore, Misty, Morris, Charity K., Morris, Christopher, Oelrich, Sarah, Oliver, Kristina, Seitz, Vicky, Whetstone, Jerry, Doft, Bernard H., Bedel, Jay, Bergren, Robert, Borthwick, Ann, Conrad, Paul, Fec, Amanda, Fulwylie, Christina, Ingram, Willia, Latham, Shawnique, Lester, Gina, Liu, Judy, Lobes, Louis, Lucko, Nicole M., Mechling, Holly, Merlotti, Lori, McBroom, Keith, Olsen, Karl, Puskas, Danielle, Rath, Pamela, Schmucker, Maria, Schueckler, Lynn, Schultz, Christina, Shultz, Heather, Steinberg, David, Vyas, Avni, Whale, Kim, Yeckel, Kimberly, Orth, David H., Arredondo, Linda S., Brown, Susan, Ciscato, Barbara J., Civantos, Joseph M., Figliulo, Celeste, Hasan, Sohail, Kosinski, Belinda, Muir, Dan, Nelson, Kiersten, Packo, Kirk, Pollack, John S., Rezaei, Kourous, Shelton, Gina, Townsend-Patrick, Shannya, Walsh, Marian, McDonald, H. Richard, Ansari, Nina, Bye, Amanda, Fu, Arthur D., Grout, Sean, Indermill, Chad, Johnson, Robert N., Jumper, J. Michael, Linares, Silvia, Lujan, Brandon J., Munden, Ames, Persons, Meredith, Rodriguez, Rosa, Rose, Jennifer M., Teske, Brandi, Urias, Yesmin, Young, Stephen, Dreyer, Richard F., Daniel, Howard, Connaughton, Michele, Handelman, Irvin, Hobbs, Stephen, Hoerner, Christine, Hudson, Dawn, Kopfer, Marcia, Lee, Michael, Lemley, Craig, Logan, Joe, Ma, Colin, Mallet, Christophe, Milliron, Amanda, Peters, Mark, Wohlsein, Harry, Pearlman, Joel A., Andrews, Margo, Bartlett, Melissa, Carlson, Nanette, Cox, Emily, Equi, Robert, Gonzalez, Marta, Griffin, Sophia, Hogue, Fran, Kennedy, Lance, Kryuchkov, Lana, Lopez, Carmen, Lopez, Danny, Luevano, Bertha, McKenna, Erin, Patel, Arun, Reed, Brian, Secor, Nyla, Sison, Iris R., Tsai, Tony, Varghis, Nina, Waller, Brooke, Wendel, Robert, Yebra, Reina, Roth, Daniel B., Deinzer, Jane, Fine, Howard, Green, Flory, Green, Stuart, Keyser, Bruce, Leff, Steven, Leviton, Amy, Martir, Amy, Mosenthine, Kristin, Muscle, Starr, Okoren, Linda, Parker, Sandy, Prenner, Jonathan, Price, Nancy, Rogers, Deana, Rosas, Linda, Schlosser, Alex, Studenko, Loretta, Tantum, Thea, Wheatley, Harold, Trese, Michael T., Aaberg, Thomas, Bezaire, Denis, Bridges, Craig, Bryant, Doug, Capone, Antonio, Coleman, Michelle, Consolo, Christina, Cook, Cindy, DuLong, Candice, Garretson, Bruce, Grooten, Tracy, Hammersley, Julie, Hassan, Tarek, Jessick, Heather, Jones, Nanette, Kinsman, Crystal, Krumlauf, Jennifer, Lewis, Sandy, Locke, Heather, Margherio, Alan, Markus, Debra, Marsh, Tanya, Neal, Serena, Noffke, Amy, Oh, Kean, Pence, Clarence, Preston, Lisa, Raphaelian, Paul, Regan, Virginia R., Roberts, Peter, Ruby, Alan, Sarrafizadeh, Ramin, Scherf, Marissa, Scott, Sarita, Sneed, Scott, Staples, Lisa, Terry, Brad, Trese, Matthew T., Videtich, Joan, Williams, George, Zajechowski, Mary, Joseph, Daniel P., Blinder, Kevin, Boyd, Lynda, Buckley, Sarah, Crow, Meaghan, Dinatale, Amanda, Engelbrecht, Nicholas, Forke, Bridget, Gabel, Dana, Grand, Gilbert, Grillion-Cerone, Jennifer, Holekamp, Nancy, Kelly, Charlotte, Nobel, Ginny, Pepple, Kelly, Raeber, Matt, Rao, P. Kumar, Ressel, Tammy, Schremp, Steven, Sgorlon, Merrilee, Shears, Shantia, Thomas, Matthew, Timma, Cathy, Vaughn, Annette, Walters, Carolyn, Weeks, Rhonda, Wehmeier, Jarrod, Wright, Tim, Berinstein, Daniel M., Ayyad, Aida, Barazi, Mohammed K., Bickhart, Erica, Brady, Tracey, Byank, Lisa, Cronise, Alysia, Denny, Vanessa, Dunn, Courtney, Flory, Michael, Frantz, Robert, Garfinkel, Richard A., Gilbert, William, Lai, Michael M., Melamud, Alexander, Newgen, Janine, Newton, Shamekia, Oliver, Debbie, Osman, Michael, Sanders, Reginald, von Fricken, Manfred, Dugel, Pravin, Arenas, Sandra, Balea, Gabe, Bartoli, Dayna, Bucci, John, Cornelius, Jennifer A., Dickens, Scheleen, Doherty, Don, Dunlap, Heather, Goldenberg, David, Jamal, Karim, Jimenez, Norma, Kavanagh, Nicole, Kunimoto, Derek, Martin, John, Miner, Jessica, Mobley, Sarah, Park, Donald, Quinlan, Edward, Sipperley, Jack, Slagle, Carol, Smith, Danielle, Yafchak, Miguelina, Yager, Rohana, Flaxel, Christina J., Bailey, Steven, Francis, Peter, Howell, Chris, Hwang, Thomas, Ira, Shirley, Klein, Michael, Lauer, Andreas, Liesegang, Teresa, Lundquist, Ann, Nolte, Sarah, Nolte, Susan K., Pickell, Scott, Pope, Susan, Rossi, Joseph, Schain, Mitchell, Steinkamp, Peter, Toomey, Maureen D., Vahrenwald, Debora, West, Kelly, Hubbard, Baker, Andelman, Stacey, Bergstrom, Chris, Brower, Judy, Cribbs, Blaine, Curtis, Linda, Dobbs, Jannah, DuBois, Lindreth, Gaultney, Jessica, Gibbs, Deborah, Jordan, Debora, Leef, Donna, Martin, Daniel F., Myles, Robert, Olsen, Timothy, Schwent, Bryan, Srivastava, Sunil, Waldron, Rhonda, Antoszyk, Andrew N., Balasubramaniam, Uma, Brooks, Danielle, Brown, Justin, Browning, David, Clark, Loraine, Ennis, Sarah, Held, Susannah, Helms, Jennifer V., Herby, Jenna, Karow, Angie, Leotaud, Pearl, Massimino, Caterina, McClain, Donna, McOwen, Michael, Mindel, Jennifer, Pereira, Candace, Pierce, Rachel, Powers, Michele, Price, Angela, Rohrer, Jason, Sanders, Jason, Avery, Robert L., Avery, Kelly, Basefsky, Jessica, Beckner, Liz, Castellarin, Alessandro, Couvillion, Stephen, Giust, Jack, Giust, Matthew, Nasir, Maan, Pieramici, Dante, Rabena, Melvin, Risard, Sarah, See, Robert, Smith, Jerry, Wan, Lisha, Bakri, Sophie J., Abu-Yaghi, Nakhleh, Barkmeier, Andrew, Berg, Karin, Burrington, Jean, Edwards, Albert, Goddard, Shannon, Howard, Shannon, Iezzi, Raymond, Lewison, Denise, Link, Thomas, McCannel, Colin A., Overend, Joan, Pach, John, Ruszczyk, Margaret, Shultz, Ryan, Stephan, Cindy, Vogen, Diane, Bradford, Reagan H., Jr., Bergman, Vanessa, Burris, Russ, Butt, Amanda, Daniels, Beth, Dwiggins, Connie, Fransen, Stephen, Guerrero, Tiffany, Haivala, Darin, Harris, Amy, Icks, Sonny, Kingsley, Ronald, Redden, Lena, Richmond, Rob, Ross, Brittany, White, Kammerin, Youngberg, Misty, Topping, Trexler M., Bennett, Steve, Chong, Sandy, Ciotti, Mary, Cleary, Tina, Corey, Emily, Donovan, Dennis, Frederick, Albert, Freese, Lesley, Graham, Margaret, Gud, Natalya, Howard, Taneika, Jones, Mike, Morley, Michael, Moses, Katie, Stone, Jen, Ty, Robin, Wiegand, Torsten, Williams, Lindsey, Winder, Beth, Awh, Carl C., Amonette, Michelle, Arrindell, Everton, Beck, Dena, Busbee, Brandon, Dilback, Amy, Downs, Sara, Guidry, Allison, Gutow, Gary, Hardin, Jackey, Hines, Sarah, Hutchins, Emily, LaCivita, Kim, Lester, Ashley, Malott, Larry, McCain, MaryAnn, Miracle, Jayme, Moffat, Kenneth, Palazzotta, Lacy, Robinson, Kelly, Sonkin, Peter, Travis, Alecia, Wallace, Roy Trent, Winters, Kelly J., Wray, Julia, Harris, April E., Bunnell, Mari, Crooks, Katrina, Fitzgerald, Rebecca, Javid, Cameron, Kew, Corin, Kill, Erica, Kline, Patricia, Kreienkamp, Janet, Martinez, Maricruz, Moore, Roy Ann, Saavedra, Egbert, Taylor, LuAnne, Walsh, Mark, Wilson, Larry, Ciulla, Thomas A., Coyle, Ellen, Harrington, Tonya, Harris, Charlotte, Hood, Cindi, Kerr, Ingrid, Maturi, Raj, Moore, Dawn, Morrow, Stephanie, Savage, Jennifer, Sink, Bethany, Steele, Tom, Thukral, Neelam, Wilburn, Janet, Walker, Joseph P., Banks, Jennifer, Ciampaglia, Debbie, Dyshanowitz, Danielle, Frederick, Jennifer, Ghuman, A. Tom, Grodin, Richard, Kiesel, Cheryl, Knips, Eileen, McCue, Jonathan, Ortiz, Maria, Peters, Crystal, Raskauskas, Paul, Schoeman, Etienne, Sharma, Ashish, Wing, Glenn, Youngblood, Rebecca, Chandra, Suresh R., Altaweel, Michael, Blodi, Barbara, Burke, Kathryn, Dietzman, Kristine A., Gottlieb, Justin, Knutson, Gene, Krolnik, Denise, Nork, T. Michael, Olson, Shelly, Peterson, John, Reed, Sandra, Soderling, Barbara, Somers, Guy, Stevens, Thomas, Wealti, Angela, Bearelly, Srilaxmi, Branchaud, Brenda, Bryant, Joyce W., Crowell, Sara, Fekrat, Sharon, Gammage, Merritt, Harrison, Cheala, Jones, Sarah, McClain, Noreen, McCuen, Brooks, Mruthyunjaya, Prithvi, Queen, Jeanne, Sarin, Neeru, Skalak, Cindy, Skelly, Marriner, Suner, Ivan, Tomany, Ronnie, Welch, Lauren, Park, Susanna S., Cassidy, Allison, Chandra, Karishma, Good, Idalew, Imson, Katrina, Sashi, Kaur, Metzler, Helen, Morse, Lawrence, Redenbo, Ellen, Salvador, Marisa, Telander, David, Thomas, Mark, Wallace, Cindy, Barr, Charles C., Battcher, Amanda, Bottorff, Michelle, Chasteen, Mary, Clark, Kelly, Denning, Diane, Schoen, Debra, Schultz, Amy, Tempel, Evie, Wheeler, Lisa, Whittington, Greg K., Stone, Thomas W., Blevins, Todd, Buck, Michelle, Cruz, Lynn, Heath, Wanda, Holcomb, Diana, Isernhagen, Rick, Kidd, Terri, Kitchens, John, Sears, Cathy, Slade, Ed, Van Arsdall, Jeanne, VanHoose, Brenda, Wolfe, Jenny, Wood, William, Zilis, John, Crooks, Carol, Disney, Larry, Liu, Mimi, Petty, Stephen, Sall, Sandra, Folk, James C., Aly, Tracy, Brotherton, Abby, Critser, Douglas, Hinz, Connie J., Karakas, Stefani, Kirschner, Valerie, Lester, Cheyanne, Montague, Cindy, Russell, Stephen, Stockman, Heather, Taylor, Barbara, Verdick, Randy, Walshire, Jean, Thompson, John T., Connell, Barbara, Constantine, Maryanth, Davis, John L., Jr., Gwen Holsapple, Hunter, Lisa, Lenane, C. Nicki, Mitchell, Robin, Russel, Leslie, Sjaarda, Raymond, Brown, David M., Benz, Matthew, Burns, Llewellyn, Carranza, JoLene G., Fish, Richard, Goates, Debra, Hay, Shayla, Jeffers, Theresa, Kegley, Eric, Kubecka, Dallas, McGilvra, Stacy, Richter, Beau, Sneed, Veronica, Stoever, Cary, Tellez, Isabell, Wong, Tien, Kim, Ivana, Andreoli, Christopher, Barresi, Leslie, Brett, Sarah, Callahan, Charlene, Capaccioli, Karen, Carli, William, Coppola, Matthew, Emmanuel, Nicholas, Evans, Claudia, Fagan, Anna, Grillo, Marcia, Head, John, Kieser, Troy, Lee, Elaine, Lord, Ursula, Miretsky, Edward, Palitsch, Kate, Petrin, Todd, Reader, Liz, Reznichenko, Svetlana, Robertson, Mary, Smith, Justin, Vavvas, Demetrios, Wells, John, Cahill, Cassie, Clark, W. Lloyd, Henry, Kayla, Johnson, David, Miller, Peggy, Oliver, LaDetrick, Spivey, Robbin, Swinford, Tiffany, Taylor, Mallie, Lambert, Michael, Chase, Kris, Fredrickson, Debbie, Khawly, Joseph, Lazarte, Valerie, Lowd, Donald, Miller, Pam, Willis, Arthur, Ferrone, Philip J., Almonte, Miguel, Arnott, Rachel, Aviles, Ingrid, Carbon, Sheri, Chitjian, Michael, DAmore, Kristen, Elliott, Christin, Fastenberg, David, Golub, Barry, Graham, Kenneth, Lavorna, AnnMarie, Murphy, Laura, Palomo, Amanda, Puglisi, Christina, Rhee, David, Romero, Juan, Rosenblatt, Brett, Salcedo, Glenda, Schlameuss, Marianne, Shakin, Eric, Sookhai, Vasanti, Kaiser, Richard, Affel, Elizabeth, Brown, Gary, Centinaro, Christina, Fine, Deborah, Fineman, Mitchell, Formoso, Michele, Garg, Sunir, Grande, Lisa, Herbert, Carolyn, Ho, Allen, Hsu, Jason, Jay, Maryann, Lavetsky, Lisa, Liebenbaum, Elaine, Maguire, Joseph, Monsonego, Julia, O’Connor, Lucia, Pierce, Lisa, Regillo, Carl, Rosario, Maria, Spirn, Marc, Vander, James, Walsh, Jennifer, Davidorf, Frederick H., Barnett, Amanda, Chang, Susie, Christoforidis, John, Elliott, Joy, Justice, Heather, Letson, Alan, McKinney, Kathryne, Perry, Jeri, Salerno, Jill A., Savage, Scott, Shelley, Stephen, Singerman, Lawrence J., Coney, Joseph, DuBois, John, DuBois, Kimberly, Greanoff, Gregg, Himmelman, Dianne, Ilc, Mary, McNamara, Elizabeth, Novak, Michael, Pendergast, Scott, Rath, Susan, Smith-Brewer, Sheila, Tanner, Vivian, Weiss, Diane E., Zegarra, Hernando, Halperin, Lawrence, Aramayo, Patricia, Dhalla, Mandeep, Fernandez, Brian, Fernandez, Cindy, Lopez, Jaclyn, Lopez, Monica, Mariano, Jamie, Murphy, Kellie, Sherley, Clifford, Veksler, Rita, Rahhal, Firas, Babikian, Razmig, Boyer, David, Hami, Sepideh, Kessinger, Jeff, Kurokouchi, Janet, Mukarram, Saba, Pachman, Sarah, Protacio, Eric, Sierra, Julio, Tabandeh, Homayoun, Zamboni, Adam, Elman, Michael, Belz, Jennifer, Butcher, Tammy, Cain, Theresa, Coffey, Teresa, Firestone, Dena, Gore, Nancy, Singletary, Pamela, Sotirakos, Peter, Starr, JoAnn, Meredith, Travis A., Barnhart, Cassandra J., Cantrell, Debra, Esquejo-Leon, RonaLyn, Houghton, Odette, Kaur, Harpreet, NDure, Fatoumatta, Glatzer, Ronald, Joffe, Leonard, Schindler, Reid, Xue, Katie, Hua, Peiying, Maguire, Maureen G., Daniel, Ebenezer, Jaffe, Glenn J., Grunwald, Juan E., and Ying, Gui-shuang

Published
2023
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45. Autonomous tractor for delivery of biocementation agent

Author

Hays, Collin, primary, Neal, Patrick, additional, Craft, Scott, additional, Benton, Desmond, additional, Crane, Carl, additional, Robinson, Brian M., additional, Denault, James, additional, Hall, Kevin, additional, English, Woody W., additional, Martineau, Rhett, additional, Bailey, Steven, additional, and Diltz, Robert, additional

Published
2024
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47. Low macular pigment optical density is associated with manifest primary open-angle glaucoma in older women

Author

Liu, Yao, primary, Lawler, Thomas, additional, Liu, Zhe, additional, Thuruthumaly, Catherine, additional, Vajaranant, Thasarat, additional, Wallace, Robert, additional, Tinker, Lesley, additional, Nalbandyan, Marine, additional, Mares, Julie, additional, Anderson, Garnet, additional, Prentice, Ross, additional, LaCroix, Andrea, additional, Kooperberg, Charles, additional, Blodi, Barbara, additional, Liu, Yao, additional, Domalpally, Amitha, additional, Engelman, Corinne, additional, Gangnon, Ronald, additional, Sarto, Gloria, additional, Bailey, Steven, additional, LeBlanc (Kaiser-Permanente), Erin, additional, Gehrs, Karen, additional, Robinson, Jennifer, additional, Snodderly, D. Max, additional, Hammond, Randy, additional, Millen, Amy, additional, Wooten, Bill, additional, Johnson, Elizabeth, additional, Jennifer Maykoski, B.S., additional, Lundquist, Ann, additional, Chris Smith, B.S., additional, Wood, Kim, additional, Perry-Raymond, Jennie, additional, Heather Stockman, B.S., additional, Walshire, Jean, additional, Sinkey, Christine, additional, Manson, JoAnn E., additional, Howard, Barbara V., additional, Stefanick, Marcia L., additional, Jackson, Rebecca, additional, Thomson, Cynthia A., additional, Wactawski-Wende, Jean, additional, Limacher, Marian, additional, Kuller, Lewis, additional, Shumaker, Sally, additional, Brunner, Robert, additional, Courtney Blomme, M.S., additional, Hall, Kristen, additional, Pauk, Diane, additional, Mezhibovsky, Esther, additional, Christensen, Krista, additional, Espeland, Mark, additional, Rossouw, Jacques, additional, Ludlam, Shari, additional, McGowan, Joan, additional, Ford, Leslie, additional, and Geller, Nancy, additional

Published
2024
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48. Natural History of Drusenoid Pigment Epithelial Detachment Associated with Age-Related Macular Degeneration Age-Related Eye Disease Study 2 Report No. 17

Author

Yu, Jeannette J, Agrón, Elvira, Clemons, Traci E, Domalpally, Amitha, van Asten, Freekje, Keenan, Tiarnan D, Cukras, Catherine, Chew, Emily Y, Ferris, Frederick L, SanGiovanni, John Paul, Clemons, Traci, Lindblad, Anne, Lindblad, Robert, Shah, Nilay, Sperduto, Robert, McBee, Wendy, Gensler, Gary, Harrington, Molly, Henning, Alice, Jones, Katrina, Thotapally, Kumar, Tull, Diana, Watson, Valerie, Williams, Kayla, Gentry, Christina, Kaufman, Francine, Morrison, Chris, Saverino, Elizabeth, Schenning, Sherrie, Blodi, Barbara, Danis, Ronald P, Davis, Matthew, Glander, Kathy, Guilfoil, Gregory, Hubbard, Larry D, Johnson, Kristine, Klein, Ronald, Nardi, Barbara, Neider, Michael, Robinson, Nancy, Rosensteel, Eileen, Wabers, Hugh, Zhang, Grace, Ruby, Alan J, Capone, Antonio, Dass, Bawa, Drenser, Kimberly, Garretson, Bruce R, Hassan, Tarek S, Trese, Michael, Williams, George A, Wolfe, Jeremy, Bell, Tina, Zajechowski, Mary, Bezaire, Dennis, McIver, Fran, Medina, Anthony, Pagett, Jackie, Smith, Stephanie Hatch, Swartz, Lynn, Treuter, Tom, Antoszyk, Andrew, Brown, Justin, Browning, David J, Holland, Walter, Karow, Angella, Stalford, Kelly, Price, Angela, Ennis, Sarah, Fredenberg, Sherry, Herby, Jenna, Balasubramaniam, Uma, Clark, Loraine, McClain, Donna, McOwen, Michael, Watson, Lynn, Klein, Michael, Bailey, Steven T, Hwang, Thomas J, Lauer, Andreas, Stout, J Timothy, McCollum, Patty, Johnson, Milt, Rice, Patrick B, Kim, Ivana, Loewenstein, John, Miller, Joan, Sobrin, Lucia, Young, Lucy, Sullivan, Jacqueline, Houlihan, Patricia, Merry, Linda, Lane, Ann Marie, Bator, Ursula Lord, Evans, Claudia, Brett, Sarah, and Callahan, Charleen

Subjects
Prevention, Clinical Research, Neurodegenerative, Clinical Trials and Supportive Activities, Eye Disease and Disorders of Vision, Macular Degeneration, Aging, Genetics, Eye, Aged, Aged, 80 and over, Disease Progression, Female, Follow-Up Studies, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Prospective Studies, Proteins, Retinal Detachment, Retinal Drusen, Retinal Pigment Epithelium, Retrospective Studies, Time Factors, Visual Acuity, Age-Related Eye Disease Study 2 Research Group, Clinical Sciences, Opthalmology and Optometry, Public Health and Health Services, Ophthalmology & Optometry
Abstract

PurposeTo investigate the natural history and genetic associations of drusenoid pigment epithelial detachment (DPED) associated with age-related macular degeneration (AMD).DesignRetrospective analysis of a prospective cohort study.ParticipantsOf the 4203 Age-Related Eye Disease Study 2 (AREDS2) participants, 391 eyes (325 participants) had DPED without late AMD at the time of DPED detection. Genetic analyses included 120 white AREDS2 participants and 145 Age-Related Eye Disease Study (AREDS) participants with DPED.MethodsBaseline and annual stereoscopic fundus photographs were graded centrally to detect DPED, a well-defined yellow elevated mound of confluent drusen ≥433 μm in diameter, and to evaluate progression rates to late AMD: geographic atrophy (GA) and neovascular (NV)-AMD. Five single nucleotide polymorphisms (CFH [rs10611670], C3 [rs2230199], CFI [rs10033900], C2/CFB [rs114254831], ARMS2 [rs10490924]) and genetic risk score (GRS) group were investigated for association with DPED development. Kaplan-Meier analyses and multivariable proportional hazard regressions were performed.Main outcome measuresProgression rates to late AMD and decrease of ≥3 lines in visual acuity (VA) from the time of DPED detection; association of rate of DPED development with genotype.ResultsMean (standard deviation [SD]) follow-up time from DPED detection was 4.7 (0.9) years. DPED was associated with increased risk of progression to late AMD (hazard ratio [HR], 2.36; 95% confidence interval [CI], 1.98-2.82; P < 0.001); 67% of eyes progressed to late AMD 5 years after DPED detection. Drusenoid pigment epithelial detachment was associated with increased risk of ≥3 lines of VA loss (HR, 3.08; CI, 2.41-3.93; P < 0.001) with 46% of eyes experiencing vision loss at 5 years (with or without progression to late AMD). ARMS2 risk alleles (1 vs. 0: HR, 2.72, CI, 1.58-4.70; 2 vs. 0: HR, 3.16, CI, 1.60-6.21, P < 0.001) and increasing GRS group (4 vs. 1) (HR, 12.17, CI, 3.66-40.45, P < 0.001) were significantly associated with DPED development in AREDS. There were no significant genetic results in AREDS2.ConclusionsThis study replicates the results of previous natural history studies of eyes with DPED including the high rates of progression to late AMD and vision loss (regardless of progression to late AMD). The genetic associations are consistent with genes associated with AMD progression.

Published
2019

49. Progression of Geographic Atrophy in Age-related Macular Degeneration AREDS2 Report Number 16

Author

Keenan, Tiarnan D, Agrón, Elvira, Domalpally, Amitha, Clemons, Traci E, van Asten, Freekje, Wong, Wai T, Danis, Ronald G, Sadda, SriniVas, Rosenfeld, Philip J, Klein, Michael L, Ratnapriya, Rinki, Swaroop, Anand, Ferris, Frederick L, Chew, Emily Y, SanGiovanni, John Paul, Clemons, Traci, Lindblad, Anne, Lindblad, Robert, Shah, Nilay, Sperduto, Robert, McBee, Wendy, Gensler, Gary, Harrington, Molly, Henning, Alice, Jones, Katrina, Thotapally, Kumar, Tull, Diana, Watson, Valerie, Williams, Kayla, Gentry, Christina, Kaufman, Francine, Morrison, Chris, Saverino, Elizabeth, Schenning, Sherrie, Blodi, Barbara, Danis, Ronald P, Davis, Matthew, Glander, Kathy, Guilfoil, Gregory, Hubbard, Larry D, Johnson, Kristine, Klein, Ronald, Nardi, Barbara, Neider, Michael, Robinson, Nancy, Rosensteel, Eileen, Wabers, Hugh, Zhang, Grace, Ruby, Alan J, Capone, Antonio, Dass, Bawa, Drenser, Kimberly, Garretson, Bruce R, Hassan, Tarek S, Trese, Michael, Williams, George A, Wolfe, Jeremy, Bell, Tina, Zajechowski, Mary, Bezaire, Dennis, McIver, Fran, Medina, Anthony, Pagett, Jackie, Smith, Stephanie Hatch, Swartz, Lynn, Treuter, Tom, Antoszyk, Andrew, Brown, Justin, Browning, David J, Holland, Walter, Karow, Angella, Stalford, Kelly, Price, Angela, Ennis, Sarah, Fredenberg, Sherry, Herby, Jenna, Balasubramaniam, Uma, Clark, Loraine, McClain, Donna, McOwen, Michael, Watson, Lynn, Klein, Michael, Bailey, Steven T, Hwang, Thomas J, Lauer, Andreas, Stout, J Timothy, McCollum, Patty, Johnson, Milt, Rice, Patrick B, Kim, Ivana, Loewenstein, John, Miller, Joan, Sobrin, Lucia, Young, Lucy, Sullivan, Jacqueline, and Houlihan, Patricia

Subjects
Prevention, Genetics, Neurodegenerative, Aging, Eye Disease and Disorders of Vision, Macular Degeneration, Eye, Aged, Aged, 80 and over, Disease Progression, Docosahexaenoic Acids, Drug Therapy, Combination, Eicosapentaenoic Acid, Female, Geographic Atrophy, Humans, Lutein, Male, Middle Aged, Photography, Prospective Studies, Visual Acuity, Zeaxanthins, AREDS2 Research Group, Clinical Sciences, Opthalmology and Optometry, Public Health and Health Services, Ophthalmology & Optometry
Abstract

PurposeTo analyze the prevalence, incidence, and clinical characteristics of eyes with geographic atrophy (GA) in age-related macular degeneration (AMD), including clinical and genetic factors affecting enlargement.DesignProspective cohort study within a controlled clinical trial.ParticipantsAge-Related Eye Disease Study 2 (AREDS2) participants, aged 50-85 years.MethodsBaseline and annual stereoscopic color fundus photographs were evaluated for GA presence and area. Analyses included GA prevalence and incidence rates, Kaplan-Meier rates, mixed-model regression, and multivariable analysis of the square root of GA, area adjusted for covariates, including clinical/imaging characteristics and genotype.Main outcome measures(1) Presence or development of GA; (2) change in the square root of GA area over time.ResultsAt baseline, 517 eyes (6.2%) of 411 participants (9.8%) had pre-existing GA (without neovascular AMD), with the following characteristics: 33% central, 67% noncentral; and the following configurations: 36% small, 26% solid/unifocal, 24% multifocal, 9% horseshoe/ring, and 6% indeterminate. Of the remaining 6530 eyes at risk, 1099 eyes (17.3%) of 883 participants developed incident GA without prior neovascular disease during mean follow-up of 4.4 years. The Kaplan-Meier rate of incident GA was 19% of eyes at 5 years. In eyes with incident GA, 4-year risk of subsequent neovascular AMD was 29%. In eyes with incident noncentral GA, 4-year risk of central involvement was 57%. GA enlargement rate (following square root transformation) was similar in eyes with pre-existing GA (0.29 mm/year; 95% confidence interval 0.27-0.30) and incident GA (0.28 mm/year; 0.27-0.30). In the combined group, GA enlargement was significantly faster with noncentrality, multifocality, intermediate baseline size, and bilateral GA (P < 0.0001 for interaction in each case) but not with AREDS2 treatment assignment (P = 0.33) or smoking status (P = 0.05). Enlargement was significantly faster with ARMS2 risk (P < 0.0001), C3 non-risk (P = 0.0002), and APOE non-risk (P = 0.001) genotypes.ConclusionsAnalyses of AREDS2 data on natural history of GA provide representative data on GA evolution and enlargement. GA enlargement, which was influenced by lesion features, was relentless, resulting in rapid central vision loss. The genetic variants associated with faster enlargement were partially distinct from those associated with risk of incident GA. These findings are relevant to further investigations of GA pathogenesis and clinical trial planning.

Published
2018

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