2,468 results on '"Fonseca, Vivian"'
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2. Degree of joint risk factor control and hazard of mortality in diabetes patients: a matched cohort study in UK Biobank
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Zhou, Jian, Wang, Xuan, Tang, Rui, Kou, Minghao, Ma, Hao, Li, Xiang, Heianza, Yoriko, Fonseca, Vivian, and Qi, Lu
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- 2024
- Full Text
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3. Researching COVID to enhance recovery (RECOVER) adult study protocol: Rationale, objectives, and design
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Horwitz, Leora I, Thaweethai, Tanayott, Brosnahan, Shari B, Cicek, Mine S, Fitzgerald, Megan L, Goldman, Jason D, Hess, Rachel, Hodder, SL, Jacoby, Vanessa L, Jordan, Michael R, Krishnan, Jerry A, Laiyemo, Adeyinka O, Metz, Torri D, Nichols, Lauren, Patzer, Rachel E, Sekar, Anisha, Singer, Nora G, Stiles, Lauren E, Taylor, Barbara S, Ahmed, Shifa, Algren, Heather A, Anglin, Khamal, Aponte-Soto, Lisa, Ashktorab, Hassan, Bassett, Ingrid V, Bedi, Brahmchetna, Bhadelia, Nahid, Bime, Christian, Bind, Marie-Abele C, Black, Lora J, Blomkalns, Andra L, Brim, Hassan, Castro, Mario, Chan, James, Charney, Alexander W, Chen, Benjamin K, Chen, Li Qing, Chen, Peter, Chestek, David, Chibnik, Lori B, Chow, Dominic C, Chu, Helen Y, Clifton, Rebecca G, Collins, Shelby, Costantine, Maged M, Cribbs, Sushma K, Deeks, Steven G, Dickinson, John D, Donohue, Sarah E, Durstenfeld, Matthew S, Emery, Ivette F, Erlandson, Kristine M, Facelli, Julio C, Farah-Abraham, Rachael, Finn, Aloke V, Fischer, Melinda S, Flaherman, Valerie J, Fleurimont, Judes, Fonseca, Vivian, Gallagher, Emily J, Gander, Jennifer C, Gennaro, Maria Laura, Gibson, Kelly S, Go, Minjoung, Goodman, Steven N, Granger, Joey P, Greenway, Frank L, Hafner, John W, Han, Jenny E, Harkins, Michelle S, Hauser, Kristine SP, Heath, James R, Hernandez, Carla R, Ho, On, Hoffman, Matthew K, Hoover, Susan E, Horowitz, Carol R, Hsu, Harvey, Hsue, Priscilla Y, Hughes, Brenna L, Jagannathan, Prasanna, James, Judith A, John, Janice, Jolley, Sarah, Judd, SE, Juskowich, Joy J, Kanjilal, Diane G, Karlson, Elizabeth W, Katz, Stuart D, Kelly, J Daniel, Kelly, Sara W, Kim, Arthur Y, Kirwan, John P, Knox, Kenneth S, Kumar, Andre, Lamendola-Essel, Michelle F, Lanca, Margaret, Lee-lannotti, Joyce K, Lefebvre, R Craig, and Levy, Bruce D
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Biomedical and Clinical Sciences ,Clinical Sciences ,Prevention ,Clinical Research ,Emerging Infectious Diseases ,Infectious Diseases ,Infection ,Good Health and Well Being - Abstract
Abstract: Importance: SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. Methods: RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged ≥18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility– and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross– validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. Discussion: RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options.
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- 2023
4. DCRM 2.0: Multispecialty practice recommendations for the management of diabetes, cardiorenal, and metabolic diseases
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Handelsman, Yehuda, Anderson, John E., Bakris, George L., Ballantyne, Christie M., Bhatt, Deepak L., Bloomgarden, Zachary T., Bozkurt, Biykem, Budoff, Matthew J., Butler, Javed, Cherney, David Z.I., DeFronzo, Ralph A., Del Prato, Stefano, Eckel, Robert H., Filippatos, Gerasimos, Fonarow, Gregg C., Fonseca, Vivian A., Garvey, W. Timothy, Giorgino, Francesco, Grant, Peter J., Green, Jennifer B., Greene, Stephen J., Groop, Per-Henrik, Grunberger, George, Jastreboff, Ania M., Jellinger, Paul S., Khunti, Kamlesh, Klein, Samuel, Kosiborod, Mikhail N., Kushner, Pamela, Leiter, Lawrence A., Lepor, Norman E., Mantzoros, Christos S., Mathieu, Chantal, Mende, Christian W., Michos, Erin D., Morales, Javier, Plutzky, Jorge, Pratley, Richard E., Ray, Kausik K., Rossing, Peter, Sattar, Naveed, Schwarz, Peter E.H., Standl, Eberhard, Steg, P. Gabriel, Tokgözoğlu, Lale, Tuomilehto, Jaakko, Umpierrez, Guillermo E., Valensi, Paul, Weir, Matthew R., Wilding, John, and Wright, Eugene E., Jr.
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- 2024
- Full Text
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5. External Validation of the BRAVO Diabetes Model Using the EXSCEL Clinical Trial Data
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Shao, Yixue, Shao, Hui, Fonseca, Vivian, and Shi, Lizheng
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- 2023
- Full Text
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6. Measurement of circulating viral antigens post-SARS-CoV-2 infection in a multicohort study
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Abraham, Rachael, Ager, Arijan, Aguilar, Franchesca A., Ahmadi-Izad, Ghazal, Ahmed, Dilshad R., Alvarez, Alicarmen, Anderson, Blake, Asencios, Walter D., Atha, Mary, Beaty, Casey L., Bedi, Brahmchetna, Berry, Jasmine A., Boone, Donchel, Bower, Mary, Bremner, James D., Brent, Corbin, Brown-Smith, Ke'Ara, Bull, Rachel, Bush, Patricia A., Capo, Gustavo, Carl-Igwe, Kelechi, Chitadze, Calista, Chukwumerije, Nachi, Clyburn, Erna, Collins, Shelby, Costello, Julie, Couture, Grace, Craft, Angel, Cribbs, Sushma K., Cui, Xiangqin, Dandy, Annette, Rio, Carlos del, Jasarevic, Rijalda, Detelich, Joshua F., Dixon, Cartia, Dow, Jeanne, Doyle, D'Andrea, Elchommali, Jannah, Ibeawuchi, Carmel, Elsey, Imani, Fineman, Rebecca, Francis, Anyssa G., Franks, Nicole, Gallini, Julia, Gander, Jennifer C., Gray, Natalie, Grimes, Ash, Gutter, Evan, Han, Jenny E., Hang, Tina P., Harding, Jess, Hernandez, Liliana, Hewitt, Lauren N., Holloway, Carla, Hudgins, Alex F., Huerta, Christopher, Ifejika, Cynthia, Ingram, Ketteria D., Javia, Vidhi N., Jeter, Mykayla, Johnson, Brandi, Joseph, Yasha, Juarez, Monica, Kajan, Dana, Khalil, Lana, Kirkpatrick, Caitlin M., Kleinhenz, Dean, Kolailat, Imanii, Koumanelis, Athena, Koumanelis, Alexandra, Kozoman, Rebecca, Krishnan, Shilpa, Lainez, Jordi, Lawrence, Brianna, Lee, Matthew A., Leon, Jose D., Lew, Valerie, Lewis, Kennedy C., Litvack, Matthew, Maroney, Mara, Maier, Cheryl L., Makkaoui, Nour, Marconi, Vincent C., Martin, Christopher F., Martinez, Monica, Mbogo, Loice, McCaslin, Atuarra, McIntyre, Jerrod, Moanna, Abeer, Montoya, Miranda, Morales, Elena, Moran, Caitlin A., Morgan-Billingslea, Jan, Murray, Calista, Nelson, Roslin, Neuman, Robert B., Nguyen, Tran, Ofotokun, Ighovwerha, Ojemakinde, Elizabeth I., Ojoawo, Bukkie, Osinski, Eileen, Oviedo, Sofia, Panganiban, Bernadine, Paredes-Gaitan, Yolanda, Patzer, Rachel E., Pemu, Priscilla, Prude, Michael, Rahman, Kazi, Ramakrishnan, Grace, Rebolledo, Paulina A., Roberts, Marjorie, Robinson, Keysha, Rogers, Chantrice, Rouphael, Nadine G., Searles, Charles, Shah, Anand, Segall, Marni, Shaw, Renata M., Silva, Ruvina, Simpson, Cheryl, Simpson-Derrell, Krystal, Sirajud-Deen, Talib, Smith, Veronica E., Stringer, Andre, Stroud, Jacob, Suthar, Mehul S., Sylber, Cory, Sylvera, Ashley, Tanner, Tehquin, Teunis, Larissa J., Tolbert, Maliya, Thomas, Kodasha M., Thompson, Sierra G., Titanji, Kehmia, Toy, Christopher, Traenkner, Jessica, Truong, Alex, Unterberger, Kristen, Vaccarino, Viola, Varney, Kris, Vyas, Kartavya, Vyas, Kurt, Walker, Tiffany A., Walkow, Max, Wang, Dongli, Wesley, Tamara, Wiley, Zanthia, Wimberly, Erika, Winston, Juton R., Winter, Terra J., Wongtrakool, Cherry, Aikawa, Masanori, Alba, George A., Aung, Taing N., Baden, Lindsey, Baslet, Gaston, Bassett, Ingrid V., Bennett, Lindsey, Bhattacharyya, Shamik, Blazey-Martin, Deborah, Buring, Julie, Cagnina, Rebecca E., Chen, Li Qing, Clark, Cheryl R., Cohen, Pieter, Collier, Ai-Ris, Czeisler, Charles, Duffy, Elizabeth, Estill, Peter, Fong, Tamara, Gay, Elizabeth, Ghamloush, Maher, Ginns, Leo C., Haack, Monika, Haas, Jennifer, Hamburg, Naomi, Hauser, Kristine S., John, Janice, Jordan, Michael, Juelg, Boris D., Kanjilal, Diane G., Kim, Arthur Y., Klerman, Elizabeth B., Kobayashi, Misaki ., Kogelman, Laura, Lamas, Daniela, Levy, Bruce D., Levy-Carrick, Nomi, Lewis, Gregory, Maley, Jason H., Manson, JoAnn, Marathe, Jai G., Mullington, Janet M., O'Connor, George T., Ojikutu, Bisola, Perlis, Roy, Quintana, Yuri, Redline, Susan, Remis, Elijah J., Rosand, Jonathan, Sesso, Howard D., Shaughnessy, Lynn, Shepherd, Fitzgerald M., Solomon, Scott, Sparks, Jeffrey A., Spencer, Lia L., Stephenson, Kathryn, Systrom, David, Thomas, Robert J., Min Thu, Phyo Phyo, Ticotsky, Amberly, Torres, Robert, Wallace, Zachary S., Walt, David, Ward, Honorine D., Washko, George, Whittelsey, Maureen, Wiener, Rebecca, Williams, Charles T., Xerras, Dean, Zhang, Haihua, Zionts, Danielle, Armstrong, Donna, Binkley, Susan E., Blackwell, Kenneth, Brown, Todd, Carton, Thomas W., Causey, Annalia, Cook, Felice, Daniel, Casey L., Datri, Paula, Domingo, Julio, Donahue, Conner, Eady, Maitlyn, Edberg, Jeffrey, Erdmann, Nathaniel, Fuloria, Jyotsna, Garcia-McClaney, Noah, Garner, Melissa, Gillespie, Mark, Gray, Brandon, Hagensee, Michael, Hall, Wanda, Hansel, Jamie, Hart, Cady, Hebson, Camden L., Hidalgo, Bertha, Holtzapfel, Kaylen, Jinright, Alexis, Judd, Suzanne E., Kennedy, Teri, Kirkwood, Leigh, Leggio, Cathryn, Levitan, Emily B., Maier, Megan, McCormack, Patricia, Miele, Lucio, Mitchell, Kevin, Montgomery, Aoyjai, Peralta-Carcelen, Myriam, Perkins, Allen, Pilco, Juan P., Powell, Leigh, Shevin, Rachael, Skipworth, Sidney, Spurgeon, Leah, Sutherland, Erica, Tita, Alan T., Trauth, Amber, Trotter, Siobhan, Van Deerlin, Alexander, Ware, Gregory, Weiser, Sharon, Wilson, Rosanne, Woodruff, Dana, Wu, Jing, Young, Madeline, Alemu, Mhret, Anderson, Jordan, Ashktorab, Hassan, Brim, Hassan, Chang, Linda, Chauhan, Mahak, Cho, Sung, Durrani, Saima, Gentil, Monique P., Goodman, Karli, Laiyemo, Adeyinka O., Lanke, Gandi, Lebron, Ralph, Maheshwari, Anurag, Mehari, Alem, Nezamloo, Ali, Ngwa, Julius, Njoku, Noelle, Ok, Jina, Sherif, Zaki A., Solemani, Akbar, Thuluvath, Paul, To, Chau, Spikes, Leslie A., James, Judith A., Luciano Roman, Carlos A., Chow, Dominic C., Marshall, Gailen D., Dickinson, John D., Hoover, Susan E., Warren, David E., Emery, Ivette F., Sukhera, Fatima I., Rosen, Clifford J., Greenway, Frank L., Hodder, Sally L., Shikuma, Cecilia M., VanWagoner, Timothy M., Bardes, James M., Kirwan, John P., Wood, Jeremy P., Whiteheart, Sidney W., Shellito, Judd, Roelke, Theresa, Black, Lora, Tjarks, Brian, Fonseca, Vivian, Gupta, Shaveeta, Longo, Michele, Yang, Mei, MarGangcuangco, Louis, Bengtson, Charles, Castro, Mario, Howard, Theresa, Garvy, Beth, Simmons, Christopher, Garla, Vishnu, Kuebler, Joy, Nandi, Utsav, Vasey, Andrew, Bogie, Amanda, Scott, James, Frontera, Sigrid Perez, Bagur, Jorge Santana, Dominique-Villanueva, Daphne, Juskowich, Joy, Reece, Rebecca, Sarwari, Arif, Aponte-Soto, Lisa, Adams, Dara, Baker, Aileen, Barbera, Sunni, Basu, Sanjib, Bleasdale, Susan, Bolliger, Dawn, Boyd, Andrew D., Boyineni, Jerusha, Breiter, Taylor, Brown, Daniel, Buhimschi, Irina A., Carrithers, Michael D., Certa, Marta, Chalamalla, Rashmika, Chebrolu, Praneeth, Chestek, David, Chessier, Erica, Cook, Judith A., Cranford, Savannah, Curry, Hannah L., Darbar, Dawood, Dasgupta, Raktima, Blakley, Felicia Davis, DeLisa, Julie A., Del Rios, Marina, Diaz, Maya Z., Diviak, Kathleen R., Dixon, Jennifer, Donlon, Meghan F., Donohue, Sarah E., Dworkin, Mark S., Edmonds, Sherrie, Ellison, Angela, Everett, Emily, Flanigan, Clarie, Freedman, Michael B., Gale, Lisa, Gerald, Lynn B., Giles, Wayne H., Gordon, Howard S., Hafner, John, Hammad, Bayan, Hanson, Keith A., Harris, Pastor C., Hartwig, Kimberly, Hasek, Sharon, Hasse, Wendy, Hendrickson, Monica, Hobbs, Brianna, Hryniewicka, Martyna, Hammerl, Savannah, Hutton, Robert, Ibanez, Alejandra L., Illendula, Sai D., Ismail, Nahed, Jain, Akash, Jennette, Kyle J., Kadubek, Grace, Kent, Denise, Kotini-Shah, Pavitra, Kelly, Sara W., Kent, Denise A., Kim, Keri S., Kindred, Elijah, Klein, Jonathan D., Krishnan, Jerry A., Large, Lucia, Lash, James ., Lin, Janet Y., Lu, Jun, Mahamed, Abeer M., Maholovich, Phoebe, Malchenko, Sergey, Martinez, Miriam, Mauntel-Medici, Cammeo, Madineni, Abhigna, McCauley, Mark, Menchaca, Martha, Mermelstein, Robin, Moreno, David J., Morrissy, Liam, Muramatsu, Naoko, Musick, Hugh, Noland, Seth, Norwick, Lourdes, Novak, Richard M., Olds, Lela, Ortiz, Marilyn, Patel, Khushboo, Perez, Nicolas L., Pliskin, Neil H., Pope, Sam, Prabhakar, Bellur S., Prasad, Bharati, Predki, Barbara, Prendergast, Heather M., Quigley, John G., Ramchandran, Ramaswamy, Ramirez, Ana, Rappe, Sarah, Rehman, Jalees, Rolon, Cesar, Rowley, Matthew, Rudraraju, Gowrisree, Rutherfoord, Melissa, Sader, Samer B., Sculley, Jennifer A., Smith-Mack, Jerisha, Swearingen, Peyton, Stewart de Ramirez, Sarah A., Sudhindra, Praveen, Sun, Jun, Tartt, Nancy, Terlinde, Tracy, Thompson, Tiffany, Vanden Hoek, Terry L., Kelly, Sara Warfield, Villanueva, Laura, Welter, Hannah, Woolley, Brittany, Yazici, Cemal, Charney, Alexander W., Kovatch, Patricia, Merad, Miriam, Nadkarni, Girish N., Wisnivesky, Juan P., Aberg, Judith A., Ascolillo, Steven, Assenso, Esther, Bagiella, Emilia, Bartram, Logan, Becker, Jacqueline, Beckmann, Noam D., Bendl, Ashley, Chen, Benjamin K., Civil, Alyssa, Dhar, Kaberi, Evo-Ortega, Lorraine, Fierer, Daniel, Gallagher, Emily J., Garcia-Sastre, Adolfo, Gnjatic, Sacha, Guliyeva, Sabina, Harvey-Ingram, Lori, Herrera-Moreno, Julia, Hill, Matthew, Horowitz, Carol R., Jackson, Rachel, Kastrat, Din, Lala-Trindade, Anu, Lin, Jenny, Macaluso, Nick, Marcon, Kathryn, Meyer, Dara, Morinigo, Janice, Natelson, Benjamin H., Nussenzweig, Maya, Padua, Tiffani, Putrino, David, Quazi, Nawreen, Ramos, Michelle, Richardson, Lynne, Russo, Scott, Seifert, Alan C., Serri, Abdullah, Walker, Jordan, Yee, Michell, Adolphi, Natalie L., Alekhina, Natalya, Archuleta, David A., Barlocker, Jackson, Bateman, Lucinda, Bradfute, Steven B., Brito, Rebecca, Bryan, Tanner W., Buck, Kaitlin E., Davis, Debra, Deakyne Davies, Sara J., Decker, Lauren A., Elifritz, Jamie, Erlandson, Kristine M., Facelli, Julio C., Fudge, Harrison Z., Tran, Huong, Pitch, Chloe, Feuerriegel, Elen M., Ford, Isaac, Friedman, Naomi P., Garcia-Soberanez, Noella D., Gardner, Edward M., Stringham, Caitlyn, Ling, Leah, Gebremariam, Tewodros H., Gentry, Frederick D., Gouripeddi, Ramkiran, Graham, Paige, Gronert, Eve G., Harkins, Michelle S., Hawkins, Kellie L., Hess, Rachel, Johnny, Jace D., Johnson, Brandon M., Jolley, Sarah E., Lloyd, Jennifer, Ludwig, Katelyn R., Martinez, Noah I., McCandless, Sean A., Montoya, Lorenzo A., Oakes, Judy L., Parada, Alisha N., Quinn, Davin K., Raissy, Hengameh, Ramos, Alfredo, Reid, Kayleigh M., Reusch, Jane E., Sheehan, Elyce B., Sokol, Ron J., Treacher, Irena S., Trinity, Joel D., Truong, Dongngan T., West, Shelby C., Molden, Joie, Sharareh, Nasser, Weaver, Lisa J., Spivak, Adam M., Brown, Jeanette P., Shah, Kevin S., Pace, Laura A., Scholand, Mary Beth, Velinder, Matt, Cortez, Melissa, Morimoto, Sarah Shizuko, Vernon, Suzanne D., Lu, Yue, Owen, Megan, Hermansen, Jessica A., Lindsay, Ashton M., Donohue, Dagny K., Garg, Lohit, Wodushek, Thomas, Higgins, Janine, Lockie, Tim, Brightman, Marisa, Thurman, Brook, Powell, Jenny M., Freston, Dylan C., Medina, Juliemar C., Aguirre, Bailee, Anderson, Jeff, Bair, Tami, Bosh, Lindsay, Evans, Lorlie, Garrett, Chase, Harris, Dixie, Herrera, Katherine, Horne, Benjamin D., Juan, James, Knight, Stacey, Knowlton, Kirk, Leither, Lindsay, Maestas, Heather, May, Heidi T., Najarian, Gabriel, Woller, Scott C., Zubal, Shyanne, Jensen, McKenna M., Webb, Tiaura, Iverson, Leslie, Ayache, Mirna, Baloi, Alexis, Barnboym, Emma, Boldt, Nicholas, Bukulmez, Hulya, Chesnick, Hailey, Conrad, Ann, Consolo, Mary, Curtis, Lynette, D’anza, Brian, DiFrancesco, Kathryn, Edminston, Marissa, Eteshola, Ebenezer, Gallagher, Michelle, Gibson, Kelly S., Gordesky, Larraine, Greenwood, Carla, Haghiac, Maricela, Harris, Paul, Hernandez, Carla, Iqbal, Shirin, Kaelber, David C., Kaufman, Elizabeth S., Kennedy, Olivia, Labbato, Danielle, Lengu, Ketrin, Levert, Antonio, Levin, Jennifer, Lowenthal, Rebecca, Mackin, Bridget, Malakooti, Shahdi K., McComsey, Grace A., Minium, Judy, Mouchati, Christian, Oleson, Christine, Pearman, Ann, Hershey, Morgan, Rivera, Amanda, Rodgers, Michael, Rodgers, Theresa, Roy, Arnab, Russ, Kris, Scott, Sarah, Sheth, Niyati, Singer, Nora G., Smith, Beth, Smith, Cheryl, Stancin, Terry, Temple, Daniel, Tribout, Megan, Weinberger, Elisheva, Zhang, David, Zisis, Sokratis N., Atieh, Ornina, Yendewa, George, Baissary, Jhony, Pettinato, KImberly, Lim, Joaquin, Jacob, Joshua, Adams, Cara, Tejani, Viral, Algren, Heather A., Alicic, Radica, Baxter, Joni, Brennan, Conor, Caudill, Antonina, Chen, Peter, Chopra, Tananshi, Chu, Helen Y., Del Alcazar, James, Duven, Alexandria M., Edmark, Rick, Emerson, Sarah, Goldman, Jason D., Gutierrez, Vanessa, Hadlock, Jennifer, Harteloo, Alex, Heath, James R., Hood, Susan, Jackman, Susan, Kaneko, John, Kemp, Megan, Kim, Christina, Kuykendall, Kelli, Li, Sarah, Logue, Jennifer K., Magis, Andrew T., Manner, Paula, Mason, Carly, McCaffrey, Kathryn, McDonald, Connor, McDonald, Dylan, Murray, Kim M., Nackviseth, Callista, Nguyen, Helen, Parimon, Tanyalak, Poussier, Rachel, Rowen, Lee, Satira, Richard, Torbati, Sam, Tuttle, Katherine R., Wallick, Julie A., Yuan, Dan, Watanabe, Kino, Wilcox, Lauren E., Contreras, Fatima, Dahlke, Lea, Gudipudi, Lasya, Modes, Matthew, Muttera, Nicole, Salinas, Nancy, Tadeo, Josie, White, Shane, Alvarado, Stephanie, Anderson, Reed, Arellanes, Azaneth, Barajas, Rose A., Chauhan, Suneet P., Clarke, Geoffrey D., Farner, Cheryl E., Fischer, Melinda S., Goldberg, Mark P., Hasbani, Keren, Hastings, Gabrielyd, Heard, Patricia, Herrera, Italia, Infante, Edgar, Johnson, Hillary, Jones, Johnnie, Kellogg, Dean L., Kraig, Ellen, Longoria, Lisa, Nambiar, Anoop M., Okafor, Emeka, Paredes, Claudia C., Patterson, Thomas F., Patterson, Jan E., Pinones, Alexis, Potter, Jennifer S., Reeves, W.B., Saade, George R., Salehi, Marzieh, Scholler, Irma, Seshadri, Sudha, Shah, Dimpy P., Shah, Pankil, Sharma, Kumar, Sharma, Kavita, Soileau, Bridgette, Solis, Pamela, Stoebner, Carmen, Sullivan, Michael, Taylor, Barbara S., Tragus, Robin, Tsevat, Joel, Verduzco-Gutierrez, Monica, Ahuja, Neera, Blish, Catherine A., Blomkalns, Andra L., Bonilla, Hector, Brotherton, Richard, Clinton, Kimberly, Dingankar, Vaidehi, Geng, Linda N., Go, Minjoung, Haddad, Francois, Jagannathan, Prasanna, Jamero, Christopher, Jee, Kathryn, Jia, Xiaolin K., Khurana, Naresh, Kumar, Andre, Maldonado, Yvonne, Miglis, Mitchell G., O'Conor, Ellen, Olszewski, Kelly, Pathak, Divya, Quintero, Orlando, Scott, Jake, Singh, Upinder, Urdaneta, Alfredo E., Utz, Paul J., Varkey, Mary R., Saperia, Corey, Autry, Lynn, Bime, Christian, Borwege, Sabine, Copeland, Jacquelynn, DiLise-Russo, Marjorie, Ernst, Kacey C., Esquivel, Denise R., Fadden, Susan, Gomez, Isaias, Grischo, Garrett, Hansen, Lillian, Harris, David T., Harris, Stefanie, Hartley, William, Hernandez, Michael, Hillier, Leah, Hsu, Harvey, Hughes, Trina, Ismail, Hira, Iusim, Stephanie, James, Michelle, Kala, Mrinalini, Karnafel, Maria, Kim, Daniel, Knox, Kenneth S., Koleski, Alison, LaFleur, Bonnie, Lambert, Brenda, LaRue, Sicily, Lee-Iannotti, Joyce K., Lieberman, David, Lutrick, Karen, Merchant, Nirav, Morton, Christopher, Mosier, Jarrod M., Murthy, Ganesh, Nikolich, Janko Z., Olorunnisola, Toluwanimi, Parthasarathy, Sairam, Peralta, Jeanette, Pilling, William, Pogreba-Brown, Kristen, Reiman, Eric M., Rischard, Franz P., Ryan, Lee T., Smith, Terry, Snyder, Manuel, Soto, Francisco, Subbian, Vignesh, Suhr, Kyle, Unzek, Samuel, Vadovicky, Sheila, Velarde, Deanna, Veres, Sharry, Wilson, Cathleen, Anderson, Grace, Anglin, Khamal, Argueta, Urania, Asare, Kofi, Buitrago, Melissa, Chang Song, Celina, Clark, Alexus, Conway, Emily, Deeks, Steven G., Del Castillo, Nicole, Deswal, Monika, Durstenfeld, Matthew S., Eilkhani, Elnaz, Eun, Avery, Fehrman, Emily, Figueroa, Tony, Flores, Diana, Grebe, Halle, Henrich, Timothy J., Hoh, Rebecca, Hsue, Priscilla, Huang, Beatrice, Ibrahim, Rania, Kelly, John D., Kerbleski, Marian, Kirtikar, Raushun, Lew, Megan T., Lombardo, James, Lopez, Monica, Luna, Michael, Marquez, Carina, Martin, Jeffrey N., Munter, Sadie, Ngo, Lynn, Peluso, Michael J., Pineda-Ramirez, Jesus, Rhoads, Kim, Rodriguez, Antonio, Romero, Justin, Ryder, Dylan, So, Matthew, Somsouk, Ma, Tai, Viva, Tran, Brandon, Uy, Julian, Valdivieso, Daisy, Verma, Deepshika, Williams, Meghann, Zamora, Andhy, Newman, Lisa T., Abella, Julie, Barnette, Quinn, Bevc, Christine, Beverly, Jennifer, Ceger, Patricia, Croxford, Julie, Enger, Mike, Fain, Katie, Farris, Tonya, Hanlon, Sean, Hines, David, Johnson-Lawrence, Vicki, Jordan, Kevin, Lefebvre, Craig, Linas, Beth, Luukinen, Bryan, Mandal, Meisha, McKoy, Nikki J., Nance, Susan, Pasquarelli, Demian, Quiner, Claire, Sembajwe, Rita, Shaw, Gwendolyn, Thornburg, Vanessa, Tosco, Kendall, Wright, Hannah, Gross, Rachel S., Hochman, Judith S., Horwitz, Leora I., Katz, Stuart D., Troxel, Andrea B., Adler, Lenard, Akinbo, Precious, Almenana, Ramona, Aschalew, Malate, Balick, Lara, Bello, Ola, Bhuiyan, Sultana, Blachman, Nina, Branski, Ryan, Briscoe, Jasmine, Brosnahan, Shari, Bueler, Elliott, Burgos, Yvette, Caplin, Nina, Chaplin, Domonique, Chen, Yu, Cheng, Shen, Choe, Peter, Choi, Jess, Chung, Alicia, Church, Richard, Cobos, Stanley, Croft, Nakia, Irving, Angelique Cruz, Del Boccio, Phoebe, Díaz, Iván, Divers, Jasmin, Doshi, Vishal, Dreyer, Benard, Ebel, Samantha, Esquenazi-Karonika, Shari, Faustin, Arline, Febres, Elias, Fine, Jeffrey, Fink, Sandra, Freeland, Catherine, Frontera, Jennifer, Gallagher, Richard, Gonzalez-Duarte, Alejandra, Gross, Rachel, Hasson, Denise, Hill, Sophia, Hochman, Judith, Horwitz, Leora, Hossain, Jennifer, Islam, Shahidul, Jean, Christina Saint, Johnson, Stephen, Kansal, Neha, Katz, Stuart, Kenney, Rachel, Kershner, Tammy, Kewlani, Deepshikha, Kwak, Judy, Lamendola-Essel, Michelle F., Laury, Sarah, Laynor, Gregory, Lei, Lei, Leon, Terry, Linton, Janelle, Logan, Max, Malik, Nadia, Mamistvalova, Lia, Mandel, Hannah, Maranga, Gabrielle, Mattoo, Aprajita, Mei, Tony, Mendelsohn, Alan, Mercier, Emmanuelle, Vernetti, Patricio Millar, Miller, Marc, Mitchell, Maika, Moreira, Andre, Mudumbi, Praveen C., Nahin, Erica, Nair, Nandini, Nekulak, Joseph, Owens, Kellie, Parent, Brendan, Patibandla, Nandan, Petrov, Peter, Postelnicu, Radu, Pratt, Francesca, Randall, Isabelle, Rao, Priyatha, Rapkiewicz, Amy, Rizzo, JohnRoss, Rosas, Johana, Rose, Chelsea, Saint-Jean, Christina, Santacatterina, Michelle, Shah, Binita, Shaukat, Aasma, Simon, Naomi, Simsir, Aylin, Stinson, Miranda, Tang, Wenfei, Tatapudi, Vasishta, Thawani, Sujata, Thomas, Mary, Thorpe, Lorna, Tom, MeeLee, Treiha, Ethan, Troxel, Andrea, Truong, Jennifer, Udosen, Mmekom, Valencia, Carlos, Velazquez-Perez, Jessica, Vernetti, Patricio M., Vidal, Crystal, Viswanathan, Anand, Willerford, Amy, Williams, Natasha, Wong, Crystal, Wood, Marion J., Wuller, Shannon, Yin, Shonna H., Young, Chloe, Zaretsky, Jonah, Zavlunova, Susanna, Ahirwar, Shreya, Ahmed, Shifa, Ainsworth, Layne L., Atchley-Challenner, Rachel, Avilach, Paul, Balan, Trisha T., Benik, Nicholas, Benoit, Barbara, Bind, Marie-Abèle C., Bonaventura, William J., Boutin, Natalie, Brion, Beverly, Cagan, Andrew, Cai, Tianrun, Cao, Tingyi, Castro, Victor M., Cerretani, Xander R., Chan, James G., Cheng, David, Chibnik, Lori B., Ciriello, Mark, Costenbader, Karen, Dimitrov, Dimitar S., Estiri, Hossein, Fayad, Maria, Feldman, Candace H., Foulkes, Andrea, Gainer, Vivian, Ghosh, Bhaswati, Gollub, Randy, Guan, Zoe, Harris, Alan, Helmer, Karl, Hendrix, Andrew, Holzbach, Ana, Huang, Weixing, Karlson, Elizabeth W., Kaufman, Daniel, Keogh, Diane, Kerr, James D., Klann, Jeffrey G., Krishnamoorthy, Aparna, Lasky-Su, Jessica A., Liao, Katherine P., MacFadden, Doug, Maram, Anupama, Martel, Megan W., Mendis, Michael, Metta, Reeta, Monteiro, Jonathan, Morales, Eduardo, Morse, Richard E., Murphy, Shawn, Nazaire, Marc-Danie, Neils, Gregory, Nguyen, Amber N., Norman, James, Paik, Henry H., Pant, Deepti, Park, HeeKyong, Rabideau, Dustin J., Reeder, Harrison T., Rossi-Roh, Kathleen, Santacroce, Leah M., Schlepphorst, Katherine, Schulte, Carolin, Selvaggi, Caitlin A., Shinnick, Daniel J., Simons, William, Simpson, Lynn A., St. Jean Flanders, Mary L., Strasser, Zachary, Thakrar, Mansi R., Thaweethai, Tanayott, Thorn, Madeleine, Trewett, Philip, Van Fleet, Dustin, Wagholikar, Kavishwar B., Wang, Taowei D., Wattanasin, Nich, Weber, Griffin, Williams, Michael A., Zhang, Ren Zhe, Cicek, Mine, Chang, Nancy, Wirkus, Samantha, Zahnle, Nicole, Flotte, Thomas J., Frisch, Erika, Boysen, Erik M., Welch, Gary, Akintonwa, Teresa, Blancero, Frank, Brown, Heather-Elizabeth, Carmilani, Megan, Cerda, Marta, Clash, Victor H., Copeland, Debra, Hall, Yvonka, kevin kondo, Lerma, Lydia, Lindsay, Jacqui, Marti, Heather, Maughan, Christine, Minor, Tony, Taylor, Brittany, Vincent, Hyatt, Zissis, Mike, Anderson, Brett, Bardhan, Sujata, Castro-Baucom, Leah, Chisolm, Deena, Corchado, Claudia, Damian, April Joy, Daniel, Casey, DasGupta, Soham, Dehority, Walter, Feldman, Candace, Fessel, Josh, Rosas, Lisa Goldman, Horowitz, Carol, Khullar, Dhruv, Lopez, Keila, McDonald Pinkett, Shelly, Myaskovsky, Larissa, Regino, Lidia, St John Thomas, Gelise, Stewart de Ramirez, Sarah, Vangeepuram, Nita, Walden, Anita, Williams, Neely, Yin, Shonna, Burton, Phoebe, Catallozzi, Marina, Clark, Cheryl, Dworetzky, Beth, Edwards, Belinda, Ferrer, Robert L., Judd, Suzanne, Rothman, Russell, Wagner, Laura, Wallace, Ann, Adams, Sonseeahray (Ray), Aragon, Leyna, Bander, Bryan, Bishof, Karyn, Brooks, Gail, Carignan, Etienne, Coombs, Krista, Davis, Hannah, Blakley, Felicia D., Diggs, Marissa, Brown, Heather E., Favors, Umar, Fields, Whitney, Fisher, Liza, Fitzgerald, Megan, Gaffney, Alicia, Witvliet, Margot Gage, Garcia, Roberto, Gustafson, Tyler, Guthe, Nick, Holmes, Verna, Hornig, Mady, Hornig, Maxwell, Jefferson, Wendy, Kochis, Nancy, Kondo, Kevin, Lam, Julie, Lawrence, Fadwa, Letts, Rebecca, Lewis, Juan, Lopez, Silcia, Martinez, Thomas, McCorkell, Lisa, McGrath, Rebecca, Minor, Thomas T., Moore, Charita, Nguyen, Kian, Nichols, Lauren, O'Brien, Lisa, Olson, Holly, Peddie, Aimee, Perlowski, Alice, Lorenzo, Elizabeth P., Prentiss, Lisa, Raytselis, Nadia, Rochez, Nitza, Rockwell, Megan, Rutter, Jacqueline, Seibert, Elle, Sekar, Anisha, Smith, Chimere, Stiles, Lauren, Taylor, Emily, Thompson, Julie, Trapp, Stephen, Valdiva, Stephen, Wilensky, Rochelle, Williams, Melissa, Dawson, Kay W., Wylam, Andrew, Swank, Zoe, Borberg, Ella, Chen, Yulu, Senussi, Yasmeen, Chalise, Sujata, Manickas-Hill, Zachary, Yu, Xu G., Li, Jonathan Z., Alter, Galit, Kelly, J. Daniel, Goldberg, Sarah A., Talla, Aarthi, Li, Xiaojun, Skene, Peter, Bumol, Thomas F., Torgerson, Troy R., Czartoski, Julie L., McElrath, M. Juliana, and Walt, David R.
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- 2024
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7. Kidney and Cardiovascular Effectiveness of SGLT2 Inhibitors vs GLP-1 Receptor Agonists in Type 2 Diabetes
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Edmonston, Daniel, Mulder, Hillary, Lydon, Elizabeth, Chiswell, Karen, Lampron, Zachary, Shay, Christina, Marsolo, Keith, Shah, Raj C., Jones, W. Schuyler, Gordon, Howard, Hwang, Wenke, Ayoub, Isabella, Ford, Daniel, Chamberlain, Alanna, Rao, Ajaykumar, Fonseca, Vivian, Chang, Alexander, Ahmad, Faraz, Hung, Adriana, Hunt, Kelly, Butler, Javed, Bosworth, Hayden B., and Pagidipati, Neha
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- 2024
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8. Cluster of differentiation molecules in the metabolic syndrome
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Duc Nguyen, Hai, Ardeshir, Amir, Fonseca, Vivian A., and Kim, Woong-Ki
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- 2024
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9. Dietary intake during a pragmatic cluster-randomized weight loss trial in an underserved population in primary care
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Apolzan, John W., Martin, Corby K., Newton, Jr., Robert L., Myers, Candice A., Arnold, Connie L., Davis, Terry C., Johnson, William D., Zhang, Dachuan, Höchsmann, Christoph, Fonseca, Vivian A., Denstel, Kara D., Mire, Emily F., Springgate, Benjamin F., Lavie, Carl J., and Katzmarzyk, Peter T.
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- 2023
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10. DCRM Multispecialty Practice Recommendations for the management of diabetes, cardiorenal, and metabolic diseases.
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Handelsman, Yehuda, Anderson, John E, Bakris, George L, Ballantyne, Christie M, Beckman, Joshua A, Bhatt, Deepak L, Bloomgarden, Zachary T, Bozkurt, Biykem, Budoff, Matthew J, Butler, Javed, Dagogo-Jack, Samuel, de Boer, Ian H, DeFronzo, Ralph A, Eckel, Robert H, Einhorn, Daniel, Fonseca, Vivian A, Green, Jennifer B, Grunberger, George, Guerin, Chris, Inzucchi, Silvio E, Jellinger, Paul S, Kosiborod, Mikhail N, Kushner, Pamela, Lepor, Norman, Mende, Christian W, Michos, Erin D, Plutzky, Jorge, Taub, Pam R, Umpierrez, Guillermo E, Vaduganathan, Muthiah, and Weir, Matthew R
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Cardiovascular System ,Humans ,Cardiovascular Diseases ,Diabetes Mellitus ,Type 2 ,Hypoglycemic Agents ,Renal Insufficiency ,Chronic ,Atherosclerotic cardiovascular disease ,Chronic kidney disease ,Clinical practice ,Consensus recommendations ,Heart failure ,Type 2 diabetes ,Kidney Disease ,Diabetes ,Clinical Trials and Supportive Activities ,Clinical Research ,Hepatitis ,Heart Disease ,Chronic Liver Disease and Cirrhosis ,Liver Disease ,Cardiovascular ,Digestive Diseases ,Prevention ,Management of diseases and conditions ,7.1 Individual care needs ,7.3 Management and decision making ,Metabolic and endocrine ,Good Health and Well Being ,Clinical Sciences ,Endocrinology & Metabolism - Abstract
Type 2 diabetes (T2D), chronic kidney disease (CKD), atherosclerotic cardiovascular disease (ASCVD), and heart failure (HF)-along with their associated risk factors-have overlapping etiologies, and two or more of these conditions frequently occur in the same patient. Many recent cardiovascular outcome trials (CVOTs) have demonstrated the benefits of agents originally developed to control T2D, ASCVD, or CKD risk factors, and these agents have transcended their primary indications to confer benefits across a range of conditions. This evolution in CVOT evidence calls for practice recommendations that are not constrained by a single discipline to help clinicians manage patients with complex conditions involving diabetes, cardiorenal, and/or metabolic (DCRM) diseases. The ultimate goal for these recommendations is to be comprehensive yet succinct and easy to follow by the nonexpert-whether a specialist or a primary care clinician. To meet this need, we formed a volunteer task force comprising leading cardiologists, nephrologists, endocrinologists, and primary care physicians to develop the DCRM Practice Recommendations, a multispecialty consensus on the comprehensive management of the patient with complicated metabolic disease. The task force recommendations are based on strong evidence and incorporate practical guidance that is clinically relevant and simple to implement, with the aim of improving outcomes in patients with DCRM. The recommendations are presented as 18 separate graphics covering lifestyle therapy, patient self-management education, technology for DCRM management, prediabetes, cognitive dysfunction, vaccinations, clinical tests, lipids, hypertension, anticoagulation and antiplatelet therapy, antihyperglycemic therapy, hypoglycemia, nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH), ASCVD, HF, CKD, and comorbid HF and CKD, as well as a graphical summary of medications used for DCRM.
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- 2022
11. Acute severe hypoglycemia alters mouse brain microvascular proteome
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Sakamuri, Siva SVP, Sure, Venkata N, Oruganti, Lokanatha, Wisen, William, Chandra, Partha K, Liu, Ning, Fonseca, Vivian A, Wang, Xiaoying, Klein, Jennifer, and Katakam, Prasad VG
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- 2024
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12. Mourning, reconstruction, and the future after heritage catastrophes: A comparative social science perspective agenda
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Isnart, Cyril, Raulin, Anne, Menezes, Renata, Pereira, Edmundo, Pinto, Diana de Souza, Pinheiro, Thaís Mayumi, Loir-Mongazon, Elisabeth, Girard, Garance, Goacolou, Emma, and Fonseca, Vivian Luiz
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- 2024
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13. Sex Differences in Cardiovascular Risk Associated With Prediabetes and Undiagnosed Diabetes
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Yoshida, Yilin, Chen, Zhipeng, Fonseca, Vivian A., and Mauvais-Jarvis, Franck
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- 2023
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14. Amyloid β (1–42) peptide impairs mitochondrial respiration in primary human brain microvascular endothelial cells: impact of dysglycemia and pre-senescence
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Sakamuri, Siva S. V. P., Sure, Venkata N., Wang, Xiaoying, Bix, Gregory, Fonseca, Vivian A., Mostany, Ricardo, and Katakam, Prasad V. G.
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- 2022
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15. The Impact of Reimbursement for Non-Face-to-Face Chronic Care Management on Health Utilization Among Patients With Type 2 Diabetes in Louisiana
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Shao, Yixue, Stoecker, Charles, Hong, Dongzhe, Nauman, Elizabeth, Fonseca, Vivian, Hu, Gang, Bazzano, Alessandra N., Kabagambe, Edmond K., and Shi, Lizheng
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- 2023
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16. A prediction model on incident ESKD among individuals with T2D and CKD
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Lin, Yilu, Shao, Hui, Fonseca, Vivian, Anderson, Amanda H., Batuman, Vecihi, and Shi, Lizheng
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- 2023
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17. A prediction model of CKD progression among individuals with type 2 diabetes in the United States
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Lin, Yilu, Shao, Hui, Fonseca, Vivian, Anderson, Amanda H., Batuman, Vecihi, and Shi, Lizheng
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- 2023
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18. Cost-Effectiveness of iGlarLixi Versus Premix BIAsp 30 in People with Type 2 Diabetes Suboptimally Controlled by Basal Insulin in the US
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Shao, Hui, Alsaleh, Abdul Jabbar Omar, Dex, Terry, Lew, Elisheva, and Fonseca, Vivian
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- 2022
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19. Historical Background of Diabetic Kidney Disease
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Fonseca, Vivian, Bhatnagar, Arezu, Chamarthi, Govind Datta, Lerma, Edgar V., editor, and Batuman, Vecihi, editor
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- 2022
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20. Early intervention and intensive management of patients with diabetes, cardiorenal, and metabolic diseases
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Handelsman, Yehuda, Butler, Javed, Bakris, George L., DeFronzo, Ralph A., Fonarow, Gregg C., Green, Jennifer B., Grunberger, George, Januzzi, James L., Jr, Klein, Samuel, Kushner, Pamela R., McGuire, Darren K., Michos, Erin D., Morales, Javier, Pratley, Richard E., Weir, Matthew R., Wright, Eugene, and Fonseca, Vivian A.
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- 2023
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21. Cumulative effect of metabolic risk factors on left ventricular geometry in those with versus without early‐onset type 2 diabetes or prediabetes: The Coronary Artery Risk Development in Young Adults (CARDIA) study
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Yoshida, Yilin, primary, Zu, Yuanhao, additional, Fan, Bingbing, additional, Li, Shengxu, additional, Yoshida, Tadashi, additional, Harville, Emily, additional, Zhang, Tao, additional, Bae, Sejong, additional, Shikany, James, additional, and Fonseca, Vivian A., additional
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- 2024
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22. Using modern risk engines and machine learning/artificial intelligence to predict diabetes complications: A focus on the BRAVO model
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Shao, Hui, Shi, Lizheng, Lin, Yilu, and Fonseca, Vivian
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- 2022
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23. The trial to assess chelation therapy 2 (TACT2): Rationale and design
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Lamas, Gervasio A., Anstrom, Kevin J., Navas-Acien, Ana, Boineau, Robin, Kim, Hwasoon, Rosenberg, Yves, Stylianou, Mario, Jones, Teresa L.Z., Joubert, Bonnie R., Santella, Regina M., Escolar, Esteban, Aude, Y. Wady, Fonseca, Vivian, Elliott, Thomas, Lewis, Eldrin F., Farkouh, Michael E., Nathan, David M., Mon, Ana C., Gosnell, Leigh, Newman, Jonathan D., and Mark, Daniel B.
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- 2022
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24. A machine learning approach identifies modulators of heart failure hospitalization prevention among patients with type 2 diabetes: A revisit to the ACCORD trial
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Kianmehr, Hamed, Guo, Jingchuan, Lin, Yilu, Luo, Jing, Cushman, William, Shi, Lizheng, Fonseca, Vivian, and Shao, Hui
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- 2022
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25. Progression of retinopathy with glucagon-like peptide-1 receptor agonists with cardiovascular benefits in type 2 diabetes – A systematic review and meta-analysis
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Yoshida, Yilin, Joshi, Preeti, Barri, Saba, Wang, Jia, Corder, Amy L., O'Connell, Samantha S., and Fonseca, Vivian A.
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- 2022
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26. The Impact of Reimbursement for Non–Face-to-Face Chronic Care Management on Comprehensive Metabolic Biomarkers Among Multimorbid Patients With Type 2 Diabetes
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Shao, Yixue, Stoecker, Charles, Hong, Dongzhe, Nauman, Elizabeth, Fonseca, Vivian, Hu, Gang, Bazzano, Alessandra N., Fort, Daniel, Kabagambe, Edmond K., and Shi, Lizheng
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- 2023
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27. Changes in body size phenotypes from childhood to adulthood and the associated cardiometabolic outcomes
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Du, Tingting, Fonseca, Vivian, Chen, Wei, and Bazzano, Lydia A.
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- 2022
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28. Efficacy of iGlarLixi on 5-year risk of diabetes-related complications: A simulation study
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Shao, Hui, Kianmehr, Hamed, Guo, Jingchuan, Li, Piaopiao, Fonseca, Vivian, and Shi, Lizheng
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- 2022
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29. Menopausal hormone therapy and risk of cardiovascular events in women with prediabetes or type 2 diabetes: A pooled analysis of 2917 postmenopausal women
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Yoshida, Yilin, Chen, Zhipeng, Baudier, Robin L., Krousel-Wood, Marie, Anderson, Amanda H., Fonseca, Vivian A., and Mauvais-Jarvis, Franck
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- 2022
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30. A genome-wide association study identifies genetic determinants of hemoglobin glycation index with implications across sex and ethnicity.
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House, John S., Breeyear, Joseph H., Akhtari, Farida S., Evans, Violet, Buse, John B., Hempe, James, Doria, Alessandro, Mychaleckyi, Josyf C., Fonseca, Vivian, Shi, Mengyao, Li, Changwei, Liu, Shuqian, Kelly, Tanika N., Rotroff, Daniel, and Motsinger-Reif, Alison A.
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GENOME-wide association studies ,GENETIC variation ,GENE frequency ,DIABETES complications ,RACE - Abstract
Introduction: We investigated the genetic determinants of variation in the hemoglobin glycation index (HGI), an emerging biomarker for the risk of diabetes complications. Methods: We conducted a genome-wide association study (GWAS) for HGI in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial (N = 7,913) using linear regression and additive genotype encoding on variants with minor allele frequency greater than 3%. We conducted replication analyses of top findings in the Atherosclerosis Risk in Communities (ARIC) study with inverse variance-weighted meta-analysis. We followed up with stratified GWAS analyses by sex and self-reported race. Results: In ACCORD, we identified single nucleotide polymorphisms (SNPs) associated with HGI, including a peak with the strongest association at the intergenic SNP rs73407935 (7q11.22) (P = 5.8e−10) with a local replication in ARIC. In black individuals, the variant rs10739419 on chromosome 9 in the Whirlin (WHRN) gene formally replicated (meta- P = 2.2e−9). The SNP-based heritability of HGI was 0.39 (P < 1e−10). HGI had significant sex-specific associations with SNPs in or near GALNT11 in women and HECW2 in men. Finally, in Hispanic participants, we observed genome-wide significant associations with variants near USF1 and NXNL2/SPIN1. Discussion: Many HGI-associated SNPs were distinct from those associated with fasting plasma glucose or HbA1c, lending further support for HGI as a distinct biomarker of diabetes complications. The results of this first evaluation of the genetic etiology of HGI indicate that it is highly heritable and point to heterogeneity by sex and race. [ABSTRACT FROM AUTHOR]
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- 2024
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31. Edetate Disodium–Based Chelation for Patients With a Previous Myocardial Infarction and Diabetes: TACT2 Randomized Clinical Trial.
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Lamas, Gervasio A., Anstrom, Kevin J., Navas-Acien, Ana, Boineau, Robin, Nemeth, Hayley, Huang, Zhen, Wen, Jun, Rosenberg, Yves, Stylianou, Mario, Jones, Teresa L. Z., Joubert, Bonnie R., Yu, Qilu, Santella, Regina M., Mon, Ana C., Ujueta, Francisco, Escolar, Esteban, Nathan, David M., Fonseca, Vivian A., Aude, Y. Wady, and Ehrman, Jonathan K.
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MAJOR adverse cardiovascular events ,MYOCARDIAL infarction ,CORONARY artery disease ,MINERAL supplements ,CHELATION therapy - Abstract
Key Points: Question: Does therapy with edetate disodium (EDTA)–based chelation reduce major adverse cardiovascular events compared with placebo infusions among patients with diabetes and prior myocardial infarction (MI)? Findings: EDTA-based chelation did not reduce major adverse cardiovascular events compared with placebo infusion, with a hazard ratio of 0.93 (95% CI, 0.76-1.16; P =.53). Chelation infusions did reduce the median blood lead levels from 9.0 μg/L at baseline to 3.5 μg/L at infusion 40 (P <.001). Meaning: Among patients with diabetes and prior MI, EDTA-based chelation decreased median blood lead levels by 61% from baseline but did not reduce major adverse cardiovascular events. Importance: In 2013, the Trial to Assess Chelation Therapy (TACT) reported that edetate disodium (EDTA)–based chelation significantly reduced cardiovascular disease (CVD) events by 18% in 1708 patients with a prior myocardial infarction (MI). Objective: To replicate the finding of TACT in individuals with diabetes and previous MI. Design, Setting, and Participants: A 2 × 2 factorial, double-masked, placebo-controlled, multicenter trial at 88 sites in the US and Canada, involving participants who were 50 years or older, had diabetes, and had experienced an MI at least 6 weeks before recruitment compared the effect of EDTA-based chelation vs placebo infusions on CVD events and compared the effect of high doses of oral multivitamins and minerals with oral placebo. This article reports on the chelation vs placebo infusion comparisons. Interventions: Eligible participants were randomly assigned to 40 weekly infusions of an EDTA-based chelation solution or matching placebo and to twice daily oral, high-dose multivitamin and mineral supplements or matching placebo for 60 months. This article addresses the chelation study. Main Outcomes and Measures: The primary end point was the composite of all-cause mortality, MI, stroke, coronary revascularization, or hospitalization for unstable angina. Median follow-up was 48 months. Primary comparisons were made from patients who received at least 1 assigned infusion. Results: Of the 959 participants (median age, 67 years [IQR, 60-72 years]; 27% females; 78% White, 10% Black, and 20% Hispanic), 483 received at least 1 chelation infusion and 476 at least 1 placebo infusion. A primary end point event occurred in 172 participants (35.6%) in the chelation group and in 170 (35.7%) in the placebo group (adjusted hazard ratio [HR], 0.93; 95% CI, 0.76-1.16; P =.53). The 5-year primary event cumulative incidence rates were 45.8% for the chelation group and 46.5% for the placebo group. CV death, MI, or stroke events occurred in 89 participants (18.4%) in the chelation group and in 94 (19.7%) in the placebo group (adjusted HR, 0.89; 95% CI, 0.66-1.19). Death from any cause occurred in 84 participants (17.4%) in the chelation group and in 84 (17.6%) in the placebo group (adjusted HR, 0.96; 95% CI, 0.71-1.30). Chelation reduced median blood lead levels from 9.03 μg/L at baseline to 3.46 μg/L at infusion 40 (P <.001). Corresponding levels in the placebo group were 9.3 μg/L and 8.7 μg/L, respectively. Conclusions and Relevance: Despite effectively reducing blood lead levels, EDTA chelation was not effective in reducing cardiovascular events in stable patients with coronary artery disease who have diabetes and a history of MI. Trial Registration: ClinicalTrials.gov Identifier: NCT02733185 This randomized clinical trial assesses whether edetate disodium–based chelation infusions decrease cardiovascular disease events compared with placebo among patients with diabetes and prior myocardial infarction. [ABSTRACT FROM AUTHOR]
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- 2024
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32. Renal function as an effect modifier of intensive glucose control in delaying cognitive function decline among individuals with type 2 diabetes: A revisit to the ACCORD MIND trial.
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Li, Piaopiao, Kianmehr, Hamed, Guan, Dawei, Kulshreshtha, Ambar, Narayan, K. M. Venkat, Ali, Mohammed K., Umpierrez, Guillermo E., Hu, Xin, Fonseca, Vivian A., Shi, Lizheng, and Shao, Hui
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TYPE 2 diabetes ,GLOMERULAR filtration rate ,GLYCEMIC control ,VERBAL learning ,STROOP effect ,SODIUM-glucose cotransporters - Abstract
Aim: Dysglycaemia accelerates cognitive decline. Intensive glucose control may help delay or prevent cognitive function decline (CFD). We aimed to determine how patient characteristics influence the effect of intensive glucose control [glycated haemoglobin (HbA1c) <6.0%] on delaying CFD in people with type 2 diabetes. Research design and methods: In this post‐hoc analysis of 2977 type 2 diabetes participants from the ACCORD MIND trial, we applied the causal forest and causal tree algorithms to identify the effect modifier of intensive glucose control in delaying CFD from 68 variables (demographics, disease history, medications, vitals and baseline biomarkers). The exposure was intensive versus standard glucose control (HbA1c <6.0% vs. 7.0%‐7.9%). The main outcome was cognitive function changes from baseline to the 40th month follow‐up, which were evaluated using the digit symbol substitution test, Rey auditory verbal learning test, mini‐mental state examination and Stroop test. We used Cohen's d, a measure of standardized difference, to quantify the effect size of intensive glucose control on delaying CFD. Results: Among all the baseline characteristics, renal function was the most significant effect modifier. Participants with urinary albumin levels <0.4 mg/dl [absolute function change (AFC): 0.51 in mini‐mental state examination, 95% confidence interval (CI): 0.04, 0.98, Cohen's d: 0.25] had slower CFD with intensive glucose control. Patients with preserved renal function (estimated glomerular filtration rate between 60 and 90 ml/min/1.73 m2) were associated with small benefits (AFC: 1.28 in Stroop, 95% CI: 0.28, 2.27, Cohen's d: 0.12) when undergoing intensive glucose control. Conversely, participants with an estimated glomerular filtration rate <60 ml/min/1.73 m2 (AFC: −0.57 in the Rey auditory verbal learning test, 95% CI: −1.09, −0.05, Cohen's d: −0.30) exhibited faster CFD when undergoing intensive glucose control. Participants who were <60 years old showed a significant benefit from intensive glucose control in delaying CFD (AFC: 1.08 in the digit symbol substitution test, 95% CI: 0.06, 2.10, Cohen's d: 0.13). All p <.05. Conclusions: Our findings linked renal function with the benefits of intensive glucose control in delaying CFD, informing personalized HbA1c goals for those with diabetes and at risk of CFD. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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33. Outcomes with Finerenone in Participants with Stage 4 CKD and Type 2 Diabetes: A FIDELITY Subgroup Analysis
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Sarafidis, Pantelis, Agarwal, Rajiv, Pitt, Bertram, Wanner, Christoph, Filippatos, Gerasimos, Boletis, John, Tuttle, Katherine R., Ruilope, Luis M., Rossing, Peter, Toto, Robert, Anker, Stefan D., Liu, Zhi-Hong, Joseph, Amer, Ahlers, Christiane, Brinker, Meike, Lawatscheck, Robert, Bakris, George, Aizenberg, Diego, Bartolacci, Inés, Besada, Diego, Bittar, Julio, Chahin, Mariano, Elbert, Alicia, Gelersztein, Elizabeth, Liberman, Alberto, Maffei, Laura, Manghi, Federico Pérez, Sanabria, Hugo, Vallejos, Augusto, Viñes, Gloria, Wassermann, Alfredo, Abhayaratna, Walter, Acharya, Shamasunder, Ekinci, Elif, Lee, Darren, MacIsaac, Richard, Mah, Peak Mann, Nelson, Craig, Packham, David, Pape, Alexia, Roger, Simon, Stephenson, Hugo, Suranyi, Michael, Wittert, Gary, Vale, Elizabeth, Colman, Peter, Colquhoun, David, Ellis, Chris, Joshua, Kim, Pedagogos, Eugenia, Regal, Paul, Topliss, Duncan, Vandeleur, James, Verjans, Johan, Wittert, Gary, Wynne, Katie-Jane, Clodi, Martin, Ebenbichler, Christoph, 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Toursarkissian, Nicole, Tschöpe, Diethelm, Ulmer, Achim, van der Giet, Markus, Wanner, Christoph, Winkelmann, Bernhard R., Boletis, Ioannis, Dimitriadis, George, Hatziagelaki, Erifili, Iatrou, Christos, Ioannidis, Ioannis, Kounadi, Theodora, Makriniotou, Ioanna, Papadopoulou, Dorothea, Papagianni, Aikaterini, Passadakis, Ploumis, Piaditis, George, Stefanidis, Ioannis, Tai Pang Ip, Lee, Paul, Andrea Luk, On Yan, Ma, Ronald, Chow, Wing Sun, Wang, Angela, Yeung, Vincent, Bajcsi, Dora, Danos, Peter, Harcsa, Eleonora, Kalina, Akos, Kazup, Szilvia, Keltai, Katalin, Kirschner, Robert, Kiss, Julianna, Kovacs, Laszlo, Lamboy, Beata, Literati-Nagy, Botond, Mileder, Margit, Nagy, Laszlo, Noori, Ebrahim, Nyirati, Gabor, Petro, Gizella, Schneider, Karoly, Simon, Judit, Szocs, Albert, Vasas, Szilard, Wudi, Krisztina, Zilahi, Zsolt, Zsom, Marianna, Eustace, Joe, Holian, John, Reddan, Donal, Meara, Yvonne O′, Abramof Ness, Rosane, Adawi, Faiad, Armaly, Zaher, Atar, Shaul, Bashkin, Amir, Ben Chetrit, 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Dong-Jin, Park, Junbeom, Shin, Seok Joon, Sung, Su-Ah, Yu, Jae Myung, Chung, HyeSoo, Huh, Ji Hye, Kang, JunGoo, Kim, ChulSik, Kim, HyeSoon, Kim, NamHoon, Lim, Soo, Cho, Young Min, Park, Cheol Young, Agraz, Irene, Ampudia, Francisco Javier, Bouarich, Hanane, Calero, Francesca, Castro, Cristina, Guldris, Secundino Cigarrán, Garrit, Josep Cruzado, de Álvaro, Fernando, Galcerán, Josep, Albarrán, Olga González, Jaras, Julio Hernández, Ibernón, Meritxell, Deben, Francisco Martínez, Ma, Esteban, Dolores Martínez, Pascual Izuel, José María, Martins, Judith, Mediavilla, Juan, Michán, Alfredo, Santos, Julio Pascual, Poch, Esteban, Rusillo, Manuel Polaina, Juan, Carlos Sánchez, Olmo, Rafael Santamaría, Segura de la Morena, José Julián, Soto, Alfonso, Troya, Maribel, Castro, Fernando Cereto, Fernández, Pablo Gómez, Sánchez, Laura Fuentes, Moya, Mercedes González, Marrero, Domingo Hernández, Maroto, Gonzalo Piedrola, Redón, Josep, Seron, Daniel, Bruchfeld, Annette, Curiac, Dan, Eliasson, Ken, Frank, Malin, Guron, Gregor, Hellberg, Olof, Hellgren, Margareta, Larnefeldt, Hans, Lindholm, Carl-Johan, Löndahl, Magnus, Rein-Hedin, Erik, Soveri, Inga, Spaak, Jonas, Tengmark, Bengt-Olov, Lif-Tiberg, Cornelia, Månflod, Johan, Nguyen, Han, Ackermann, Daniel, Bilz, Stefan, Burnier, Michel, Forster, Christian, Kalbermatter, Stefan, Kistler, Andreas, Pechère-Bertschi, Antoinette, Schultes, Bernd, Laimer, Markus, Rudofsky, Gottfried, Strey, Christopher, Wuerzner, Gregoire, Chiz-Tzung Chang, Hung, Cheng-Chieh, Jiang, Ju-Ying, Lee, Chien-Te, Lin, Shuei-Liong, Tarng, Der-Cherng, Tu, Shih-Te, Wu, Mai-Szu, Wu, Ming-Ju, Chuang, Lee-Ming, Deerochanawong, Chaicharn, Kitiyakara, Chagriya, Ophascharoensuk, Vuddhidej, Pongchaiyakul, Chatlert, Satirapoj, Bancha, Kosachunhanan, Natapong, Sritara, Piyamitr, Eren, Necmi, Gul, Ibrahim, Gulel, Okan, Kocyigit, Ismail, Kumbasar, Abdulbaki, Sahin, Idris, Sari, Ramazan, Sayin, Burak, Tavli, Talat, Ustundag, Sedat, Yenicerioglu, Yavuz, Badak, Ozer, Cayli, Murat, Oguz, Aytekin, Ozdogan, Oner, Sari, Ibrahim, Temizhan, Ahmet, Tigen, Mustafa, Turk, Ugur, Yilmaz, Huseyin, Yilmaz, Mehmet, Bondarets, Iryna, Botsyurko, Volodymyr, Chernikova, Viktoriia, Donets, Oleksandra, Fushtey, Ivan, Grachova, Mariia, Isayeva, Anna, Kogut, Dmytro, Komisarenko, Julia, Kravchun, Nonna, Malyar, Kateryna, Mankovsky, Borys, Martynyuk, Liliya, Maslyanko, Vitaliy, Myshanych, Halyna, Pererva, Larysa, Pertseva, Nataliia, Serhiyenko, Oleksandr, Smirnov, Ivan, Sokolova, Liubov, Stryzhak, Vasyl, Vlasenko, Maryna, Isayeva, Ganna, Larin, Oleksandr, Ahmad AbouSaleh, Barratt, Jonathan, Dang, Cuong, Kahal, Hassan, Kirk, Adam, Kilvert, Anne, Kon, Sui Phi, McCafferty, Kieran, Patel, Dipesh, Rice, Sam, Vijayaraman, Arutchelvam, Wong, Yuk-ki, Gibson, Martin, Wahba, Mona, Zaidi, Reza, Bilous, Rudy, Johnson, Andrew, Kalathil, Dhanya, Kilvert, Anne, Kyriakidou, Christina, Mathew, Amit, Mukhtar, Rasha, Munsoor, Imrozia, Poterajlo, Anton, Swift, Pauline, Idalia Acosta, Adams, Atoya, Adler, Sharon, Ajani, Dilawar, Ali, Slamat, Alicic, Radica, Al-Karadsheh, Amer, Alla, Sreedhara, Allison, D., Andrawis, Nabil, Arif, Ahmed, Awad, Ahmed, Azizad, Masoud, Bahrami, Michael, Bansal, Shweta, Barag, Steven, Barakzoy, Ahmad, Barney, Mark, Barzilay, Joshua, Bashir, Khalid, Bautista, Jose, Beddhu, Srinivasan, Belo, Diogo, Benjamin, Sabrina, Berenji, Ramin, Bhargava, Anuj, Birriel, Jose, Brietzke, Stephen, Brosius, Frank, Brusco, Osvaldo, Burgner, Anna, Busch, Robert, Canadas, Rafael, Caramori, Maria, Cardona, Jose, Case, Christopher, Cruz, Humberto, Dandillaya, Ramprasad, Dawoud, Dalia, Din, Zia, Dixon, Bradley, Doshi, Ankur, Drakakis, James, El Shahawy, Mahfouz, El-Meanawy, Ashraf, El-Shahawy, Mohammed, Evans, John, Fadda, George, Farooq, Umar, Fernando, Roland, Fink, Raymond, First, Brian, Fitz-Patrick, David, Flack, John, Fluck, Patrick, Fogelfeld, Leon, Fonseca, Vivian, Frias, Juan, Galphin, Claude, Garcia-Mayol, Luis, Goldstein, Gary, Gonzalez, Edgar, Gonzalez-Abreu, Francisco, Gore, Ashwini, Grant, David, Habwe, Violet, Hamilton, Maxine, Hammoud, Jamal, Handelsman, Stuart, Hartman, Israel, Heigerick, Glenn, Henry, Andrew, Hernandez, German, Hernandez-Cassis, Carlos, Herrera, Carlos, Hertel, Joachim, Huang, Wenyu, Iglesias, Rogelio, Iranmanesh, Ali, Jackson, Timothy, Jain, Mahendra, Jamerson, Kenneth, Johnson, Karen, Judd, Eric, Kaplan, Joshua, Kayali, Zeid, Khan, Bobby, Khan, Muhammad, Kharait, Sourabh, Kirkman, M. Sue, Kopyt, Nelson, Kotzker, Wayne, Kovesdy, Csaba, Kreit, Camil, Krishna, Arvind, Kronfli, Saeed, Lee, Keung, LeJeune, Derek, Lemus, Brenda, Leon-Forero, Carlos, Linfert, Douglas, Lora, Henry, Lurie, Alexander, Maddukuri, Geetha, Magno, Alexander, Maletz, Louis, Mandayam, Sreedhar, Markell, Mariana, Mayfield, Ronald, Mbogua, Caroline, McMullen, Dierdre, Meisner, Carl, Minton, Stephen, Mocherla, Bharat, Mohandas, Rajesh, Montero, Manuel, Moustafa, Moustafa, Nadkarni, Salil, Nakhle, Samer, Navarro, Jesus, Neyra, Nilda, Nica, Romanita, Nicol, Philip, Norwood, Paul, Numrungroad, Visal, Donovan, Richard O′, Odugbesan, A., Paoli-Bruno, Jorge, Parikh, Samir, Patel, Rakesh, Peixoto, Aldo, Pergola, Pablo, Perlman, Alan, Pettis, Karlton, Pisoni, Roberto, Ponduchi, Mirela, Posada, Jorge, Prabhakar, Sharma, Radhakrishnan, Jai, Rahman, Mahboob, Raina, Rupesh, Rastogi, Anjay, Reisin, Efrain, Rendell, Marc, Robertson, David, Rocco, Michael, Romeu, Hugo, Rosas, Sylvia, Rosenfeld, Jack, Ross, Dennis, Rothman, Jeffrey, Rudolph, Lance, Ruhullah, Yusuf, Ruoff, Gary, Ryu, Jeffrey, Sahani, Mandeep, Sam, Ramin, Samuels, Garfield, Sanchez, William, Santos, Vladimir, Satko, Scott, Saxena, Sanjeev, Scott, David, Seco, Gilberto, Seek, Melvin, Serota, Harvey, Shafi, Tariq, Shahid, Nauman, Shanik, Michael, Sharma, Santosh, Sinha, Arjun, Smelser, James, Smith, Mark, Soe, Kyaw, Solomon, Richard, Soroka, Eugene, Soufer, Joseph, Spinowitz, Bruce, Spry, Leslie, Suarez, Rosa, Subramanian, Bala, Szerlip, Harold, Tamirisa, Aparna, Thomson, Stephen, Tran, Tuan-Huy, Treger, Richard, Trullenque, Gretel, Turk, Thomas, Umpierrez, Guillermo, Urbach, Daniel, Valdes, Martin, Valika, Shujauddin, Vega, Damaris, Weissman, Peter, Whaley-Connell, Adam, Winston, Jonathan, Wise, Jonathan, Wynne, Alan, Zeig, Steven, Abdel-Rahman, Emaad, Abreu, Edel, Awad, Alaa, Bahri, Nader, Bertsch, John, Bleich, David, Bornfreund, Jonathan, Brar, Harjeet, Brian, Susan, Brinson, Cynthia, Bruschetta, Humberto, Carpio, Jose, Cohen, Steven, Cosby, John, Dhanireddy, Soni, Diaz, Jorge, Dunn, Fredrick, Eppanapally, Sabitha, Fayad, Joseph, Goel, Archana, Govindaraju, Kanakadurga, Halpern, Stephen, Jones, Audrey, Kaye, William, Knight, Herbert, Koch, Stanley, Kohli, Nandini, Lastra, Guido, Lerman, Sam, Loredo, Jorge, Lovre, Dragana, Mandviwala, Mustafa, Martin, Earl, Meyer, Jill, Murray, John, Oliver, David, Oparil, Suzanne, Penabad, Jesus, Pereira, Isabel, Popeil, Larry, Quesada, Gonzalo, Ramanathan, Kodangudi, Ramos-Gonez, Luis, Rastegar, Mandana, Rastogi, Padmashri, Rondon, Juan, Roy-Chaudhury, Prabir, Smith, David, Williamson, Don, Womack, Catherine, Yamout, Hala, Yuryev, Michael, Chu, Phuong, Van Hoang, Lam, Khanh, Tran, Phi Nga, Nguyen Thi, Son, Pham Nguyen, Tran, Lan Phuong, Le, Thuy Khuong, Nguyen, Boi Ngoc, Nguyen, Thao, Nui, Nguyen Minh, Nam, Tran Quang, and Tran, Kim Chi
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- 2023
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34. An exploratory analysis of the cost‐effectiveness of insulin glargine 300 units/mL versus insulin glargine 100 units/mL over a lifetime horizon using the BRAVO diabetes model
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Shao, Hui, primary, Shi, Lizheng, additional, Fonseca, Vivian, additional, Alsaleh, Abdul Jabbar Omar, additional, Gill, Jasvinder, additional, and Nicholls, Charlie, additional
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- 2024
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35. Non-invasive diagnosis of nonalcoholic fatty liver disease in patients with type 2 diabetes
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Alhinai, Alshaima, Patel, Keyur, Fonseca, Vivian A., and Sebastiani, Giada
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- 2021
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36. Determinants of Hyperkalemia Progression Among Patients with Mild Hyperkalemia
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Israni, Rubeen, Betts, Keith A., Mu, Fan, Davis, Jill, Wang, Jessie, Anzalone, Deborah, Uwaifo, Gabriel I., Szerlip, Harold, Fonseca, Vivian, and Wu, Eric
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- 2021
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37. Prevalence of Metabolic Acidosis Among Patients with Chronic Kidney Disease and Hyperkalemia
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Cook, Erin E., Davis, Jill, Israni, Rubeen, Mu, Fan, Betts, Keith A., Anzalone, Deborah, Yin, Lei, Szerlip, Harold, Uwaifo, Gabriel I., Fonseca, Vivian, and Wu, Eric Q.
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- 2021
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38. Economic burden of diabetes-related hypoglycemia on patients, payors, and employers
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Shi, Lizheng, Fonseca, Vivian, and Childs, Belinda
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- 2021
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39. Is Extra Time Planning for Care Associated with Improved Health among Patients with Type 2 Diabetes?
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Shi, Lizheng, primary, Nauman, Elizabeth, additional, Stoecker, Charles, additional, Bazzano, Alessandra, additional, Hong, Dongzhe, additional, Fonseca, Vivian, additional, Hu, Gang, additional, kabagambe, Edmond, additional, and Shao, Yixue, additional
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- 2023
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40. Sodium‐glucose cotransporter 2 inhibitors and the risk of Parkinson disease in real‐world patients with type 2 diabetes.
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Guo, Jingchuan, Tang, Huilin, Shao, Hui, Lu, Ying, Shi, Lizheng, Fonseca, Vivian A., Cho, Hwayoung, Guo, Yi, and Bian, Jiang
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SODIUM-glucose cotransporters ,TYPE 2 diabetes ,SODIUM-glucose cotransporter 2 inhibitors ,PROPENSITY score matching ,PARKINSON'S disease ,BLACK people - Abstract
Importance: Diabetes increases the risk of Parkinson disease (PD). Sodium‐glucose cotransporter 2 (SGLT2) inhibitors, a new glucose‐lowering therapeutic class, have shown neuroprotective effects in mechanistic studies. However, the association between SGLT2 inhibitors and PD risk in real‐world populations with type 2 diabetes (T2D) remains unclear. Objective: The aim was to assess the association between SGLT2 inhibitors and the risk of PD in older populations with T2D. Design, Setting and Participants: This retrospective cohort analysis used Medicare claims data from 2016 to 2020 to identify fee‐for‐service beneficiaries ≥65 years diagnosed with T2D and without pre‐existing PD. Exposures: The initiation of an SGLT2 inhibitor was compared with that of a dipeptidyl peptidase‐4 (DPP4) inhibitor. Main Outcomes and Measures: The outcome was the first incident PD ever since the date initiating either an SGLT2 inhibitor or a DPP4 inhibitor. We employed a 1:1 propensity score matching to balance the baseline covariates between treatment groups, including sociodemographics, comorbidities and co‐medications. We applied Cox regression models to assess the effect of SGLT2 inhibitors versus DPP4 inhibitors on incident PD. Results: Of 89 330 eligible Medicare beneficiaries (mean age: 75 ± 7 years, 52% women), 0.6% (n = 537) had incident PD over the follow‐up. After 1:1 propensity matching, the PD incidence was 2.5 and 3.5 events per 1000 person‐years in the SGLT2 inhibitor group and DPP4 inhibitor group, respectively. The SGLT2 inhibitor group was associated with a significantly lower risk of incident PD than the DPP4 inhibitor group (hazard ratio: 0.70 [95% confidence interval: 0.55–0.89]). There is a potential trend that the risk reduction in incident PD was profound in non‐Hispanic Black individuals and insulin users. Conclusion and Relevance: Compared to DPP4 inhibitors, SGLT2 inhibitors were associated with a significantly lower risk of incident PD in older populations with T2D. [ABSTRACT FROM AUTHOR]
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- 2024
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41. Outcomes With Finerenone in Patients With Chronic Kidney Disease and Type 2 Diabetes by Baseline Insulin Resistance
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Ebert, Thomas, Anker, Stefan D, Ruilope, Luis M, Fioretto, Paola, Fonseca, Vivian, Umpierrez, Guillermo E, Birkenfeld, Andreas L, Lawatscheck, Robert, Scott, Charlie, Rohwedder, Katja, Rossing, Peter, Ebert, Thomas, Anker, Stefan D, Ruilope, Luis M, Fioretto, Paola, Fonseca, Vivian, Umpierrez, Guillermo E, Birkenfeld, Andreas L, Lawatscheck, Robert, Scott, Charlie, Rohwedder, Katja, and Rossing, Peter
- Abstract
OBJECTIVE: To explore whether insulin resistance, assessed by estimated glucose disposal rate (eGDR), is associated with cardiorenal risk and whether it modifies finerenone efficacy.RESEARCH DESIGN AND METHODS: In FIDELITY (N = 13,026), patients with type 2 diabetes, either 1) urine albumin-to-creatinine ratio (UACR) of ≥30 to <300 mg/g and estimated glomerular filtration rate (eGFR) of ≥25 to ≤90 mL/min/1.73 m2 or 2) UACR of ≥300 to ≤5,000 mg/g and eGFR of ≥25 mL/min/1.73 m2, who also received optimized renin-angiotensin system blockade, were randomized to finerenone or placebo. Outcomes included cardiovascular (cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure) and kidney (kidney failure, sustained decrease of ≥57% in eGFR from baseline, or renal death) composites. eGDR was calculated using waist circumference, hypertension status, and glycated hemoglobin for 12,964 patients.RESULTS: Median eGDR was 4.1 mg/kg/min. eGDR
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- 2024
42. Glucagon-Like Peptide-1 Receptor Agonists and Risk for Suicidal Ideation and Behaviors in U.S. Older Adults With Type 2 Diabetes: A Target Trial Emulation Study.
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Tang, Huilin, Lu, Ying, Donahoo, William T., Shao, Hui, Shi, Lizheng, Fonseca, Vivian A., Guo, Yi, Bian, Jiang, and Guo, Jingchuan
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GLUCAGON-like peptide-1 receptor ,DIGESTIVE system diseases ,GLUCAGON-like peptide-1 agonists ,SUICIDAL behavior ,SUICIDAL ideation - Abstract
Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) prescribed to treat type 2 diabetes (T2D) are believed to also reduce reward effects in the central nervous system, and there is concern about a higher risk for suicidal ideation and behaviors associated with these medications. This observational study examines Medicare data to assess the risk for diagnoses of suicidal behaviors among older adults with T2D after being newly prescribed GLP-1 RAs compared with those who were newly prescribed sodium–glucose cotransporter-2 inhibitors or dipeptidyl peptidase-4 inhibitors. Visual Abstract. Glucagon-Like Peptide-1 Receptor Agonists and Risk for Suicidal Ideation and Behaviors in U.S. Older Adults With Type 2 Diabetes: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) prescribed to treat type 2 diabetes (T2D) are believed to also reduce reward effects in the central nervous system, and there is concern about a higher risk for suicidal ideation and behaviors associated with these medications. This observational study examines Medicare data to assess the risk for diagnoses of suicidal behaviors among older adults with T2D after being newly prescribed GLP-1 RAs compared with those who were newly prescribed sodium–glucose cotransporter-2 inhibitors or dipeptidyl peptidase-4 inhibitors. Background: A major concern has recently emerged about a potential link between glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and increased risk for suicidal ideation and behaviors based on International Classification of Diseases codes. Objective: To investigate the association between GLP-1 RAs, compared with sodium–glucose cotransporter-2 inhibitors (SGLT2is) or dipeptidyl peptidase-4 inhibitors (DPP4is), and risk for suicidal ideation and behaviors in older adults with type 2 diabetes (T2D). Design: Two target trial emulation studies comparing propensity score (PS)–matched cohorts for GLP-1 RAs versus SGLT2is and GLP-1 RAs versus DPP4is. Setting: U.S. national Medicare administrative data from January 2017 to December 2020. Patients: Older adults (≥66 years) with T2D; no record of suicidal ideation or behaviors; and a first prescription for a GLP-1 RA, SGLT2i, or DPP4i. Measurements: The primary end point was a composite of suicidal ideation and behaviors. New GLP-1 RA users were matched 1:1 on PS to new users of an SGLT2i or DPP4i in each pairwise comparison. A Cox proportional hazards regression was used to estimate the hazard ratio (HR) and 95% CIs within matched groups. Results: This study included 21 807 pairs of patients treated with a GLP-1 RA versus an SGLT2i and 21 402 pairs of patients treated with a GLP-1 RA versus a DPP4i. The HR of suicidal ideation and behaviors associated with GLP-1 RAs relative to SGLT2is was 1.07 (95% CI, 0.80 to 1.45; rate difference, 0.16 [CI, −0.53 to 0.86] per 1000 person-years); the HR relative to DPP4is was 0.94 (CI, 0.71 to 1.24; rate difference, −0.18 [CI, −0.92 to 0.57] per 1000 person-years). Limitations: Low event rate; imprecise estimates; unmeasured confounders, such as body mass index; and potential misclassification of outcomes. Conclusion: Among Medicare beneficiaries with T2D, this study found no clear increased risk for suicidal ideation and behaviors with GLP-1 RAs, although estimates were imprecise and a modest adverse risk could not be ruled out. Primary Funding Source: American Foundation for Pharmaceutical Education, Pharmaceutical Research and Manufacturers of America Foundation, National Institute on Aging, and National Institute of Diabetes and Digestive and Kidney Diseases. [ABSTRACT FROM AUTHOR]
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- 2024
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43. Consensus Statement by the American Association of Clinical Endocrinologists and American College of Endocrinology on the Management of Dyslipidemia and Prevention of Cardiovascular Disease Algorithm – 2020 Executive Summary
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Handelsman, Yehuda, Jellinger, Paul S., Guerin, Chris K., Bloomgarden, Zachary T., Brinton, Eliot A., Budoff, Matthew J., Davidson, Michael H., Einhorn, Daniel, Fazio, Sergio, Fonseca, Vivian A., Garber, Alan J., Grunberger, George, Krauss, Ronald M., Mechanick, Jeffrey I., Rosenblit, Paul D., Smith, Donald A., and Wyne, Kathleen L.
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- 2020
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44. Some patients with type 2 diabetes may benefit from intensive glycaemic and blood pressure control: A post‐hoc machine learning analysis of ACCORD trial data
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Jiao, Tianze, primary, Kianmehr, Hamed, additional, Lin, Yilu, additional, Li, Piaopiao, additional, Singh Ospina, Naykky, additional, Ghayee, Hans K., additional, Ruzieh, Mohammed, additional, Fonseca, Vivian, additional, Shi, Lizheng, additional, Zhang, Ping, additional, and Shao, Hui, additional
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- 2024
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45. Risk factor control and incident cardiovascular disease in patients with diabetes: Sex‐specific relations
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Wang, Xuan, primary, Ma, Hao, additional, Li, Xiang, additional, Liang, Zhaoxia, additional, Fonseca, Vivian, additional, and Qi, Lu, additional
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- 2024
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46. CATALYST: A Phase 4 Study of Hypercortisolism in Patients with Difficult-to-Control Type 2 Diabetes Despite Receiving Standard-of-Care Therapies Assessing Prevalence and Treatment with Mifepristone
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Frias, Juan P., primary, Auchus, Richard J., additional, Bancos, Irina, additional, Blonde, Lawrence, additional, Busch, Robert S., additional, Buse, John B., additional, DeFronzo, Ralph A., additional, Fonseca, Vivian, additional, Hamidi, Oksana, additional, Handelsman, Yehuda, additional, Pratley, Richard E., additional, Rosenstock, Julio, additional, Tudor, Iulia Cristina, additional, Moraitis, Andreas G., additional, and Einhorn, Daniel, additional
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- 2024
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47. Outcomes With Finerenone in Patients With Chronic Kidney Disease and Type 2 Diabetes by Baseline Insulin Resistance
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Ebert, Thomas, primary, D. Anker, Stefan, primary, M. Ruilope, Luis, primary, Fioretto, Paola, primary, Fonseca, Vivian, primary, E. Umpierrez, Guillermo, primary, L. Birkenfeld, Andreas, primary, Lawatscheck, Robert, primary, Scott, Charlie, primary, Rohwedder, Katja, primary, and Rossing, Peter, primary
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- 2023
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48. Sex differences in soluble prorenin receptor in patients with type 2 diabetes
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Visniauskas, Bruna, Arita, Danielle Y., Rosales, Carla B., Feroz, Mohammed A., Luffman, Christina, Accavitti, Michael J., Dawkins, Gabrielle, Hong, Jennifer, Curnow, Andrew C., Thethi, Tina K., Lefante, John J., Jaimes, Edgar A., Mauvais-Jarvis, Franck, Fonseca, Vivian A., and Prieto, Minolfa C.
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- 2021
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49. Addressing Regional Differences in Diabetes Progression: Global Calibration for Diabetes Simulation Model
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Shao, Hui, Yang, Shuang, Stoecker, Charles, Fonseca, Vivian, Hong, Dongzhe, and Shi, Lizheng
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- 2019
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50. Impact of Simultaneous Versus Sequential Initiation of Basal Insulin and Glucagon-like Peptide-1 Receptor Agonists on HbA1c in Type 2 Diabetes: A Retrospective Observational Study
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Peng, Xuejun Victor, Ayyagari, Rajeev, Lubwama, Robert, Shi, Lizheng, Price-Haywood, Eboni G., Hollander, Priscilla, and Fonseca, Vivian
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- 2020
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