739 results on '"A. Wallia"'
Search Results
52. Development and rationale for a multifactorial, randomized controlled trial to test strategies to promote adherence to complex drug regimens among older adults
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Bailey, Stacy Cooper, Wismer, Guisselle A., Parker, Ruth M., Walton, Surrey M., Wood, Alastair J.J., Wallia, Amisha, Brokenshire, Samantha A., Infanzon, Alexandra C., Curtis, Laura M., Kwasny, Mary J., and Wolf, Michael S.
- Published
- 2017
- Full Text
- View/download PDF
53. Evaluation of Outcomes and Complications in Patients Who Experience Hypoglycemia After Cardiac Surgery
- Author
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Lowden, Elizabeth, Schmidt, Kathleen, Mulla, Irena, Andrei, Adin-Cristian, Cashy, John, Oakes, Diana Johnson, Aleppo, Grazia, Grady, Kathleen L., Wallia, Amisha, and Molitch, Mark E.
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- 2017
- Full Text
- View/download PDF
54. Caring for Hospitalized Patients with Diabetes Mellitus, Hyperglycemia, and COVID-19: Bridging the Remaining Knowledge Gaps
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Wallia, Amisha, Prince, Grace, Touma, Emilie, El Muayed, Malek, and Seley, Jane Jeffrie
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- 2020
- Full Text
- View/download PDF
55. Hospital Diabetes Meeting 2022
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Jingtong Huang, Andrea M. Yeung, Kevin T. Nguyen, Nicole Y. Xu, Jean-Charles Preiser, Robert J. Rushakoff, Jane Jeffrie Seley, Guillermo E. Umpierrez, Amisha Wallia, Andjela T. Drincic, Roma Gianchandani, M. Cecilia Lansang, Umesh Masharani, Nestoras Mathioudakis, Francisco J. Pasquel, Signe Schmidt, Viral N. Shah, Elias K. Spanakis, Andreas Stuhr, Gerlies M. Treiber, and David C. Klonoff
- Subjects
Blood Glucose ,Diabetes Mellitus, Type 1 ,Endocrinology, Diabetes and Metabolism ,Blood Glucose Self-Monitoring ,Biomedical Engineering ,Internal Medicine ,Diabetes Mellitus ,Humans ,Bioengineering ,Coronavirus Infections ,Hospitals - Abstract
The annual Virtual Hospital Diabetes Meeting was hosted by Diabetes Technology Society on April 1 and April 2, 2022. This meeting brought together experts in diabetes technology to discuss various new developments in the field of managing diabetes in hospitalized patients. Meeting topics included (1) digital health and the hospital, (2) blood glucose targets, (3) software for inpatient diabetes, (4) surgery, (5) transitions, (6) coronavirus disease and diabetes in the hospital, (7) drugs for diabetes, (8) continuous glucose monitoring, (9) quality improvement, (10) diabetes care and educatinon, and (11) uniting people, process, and technology to achieve optimal glycemic management. This meeting covered new technology that will enable better care of people with diabetes if they are hospitalized.
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- 2023
56. Longitudinal trajectories of branched chain amino acids through young adulthood and diabetes in later life
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Sawicki, Konrad T., primary, Ning, Hongyan, additional, Allen, Norrina B., additional, Carnethon, Mercedes R., additional, Wallia, Amisha, additional, Otvos, James D., additional, Ben-Sahra, Issam, additional, McNally, Elizabeth M., additional, Snell-Bergeon, Janet K., additional, and Wilkins, John T., additional
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- 2023
- Full Text
- View/download PDF
57. A Qualitative Exploration of Perceived Medication Adherence Determinants Conducted Among Older Adults with HIV and Type 2 Diabetes Mellitus
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Pack,Allison, Masters,Mary Clare, O'Conor,Rachel, Alcantara,Kenya, Svoboda,Sophia, Smith,Reneaki, Yeh,Fangyu, Wismer,Guisselle, Wallia,Amisha, Bailey,Stacy, Pack,Allison, Masters,Mary Clare, O'Conor,Rachel, Alcantara,Kenya, Svoboda,Sophia, Smith,Reneaki, Yeh,Fangyu, Wismer,Guisselle, Wallia,Amisha, and Bailey,Stacy
- Abstract
Allison P Pack,1 Mary Clare Masters,2 Rachel OâConor,1 Kenya Alcantara,1 Sophia Svoboda,1 Reneaki Smith,1 Fangyu Yeh,1 Guisselle Wismer,1 Amisha Wallia,2,3 Stacy C Bailey1 1Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; 2Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA; 3Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USACorrespondence: Allison P Pack, Division of General Internal Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA, Email allison.pack@northwestern.eduBackground: People living with HIV (PLWH) are at higher risk of developing type 2 diabetes (T2DM). Both chronic conditions require individuals to adhere to medication regimens, yet few studies have sought to explore medication-taking behaviors among individuals with comorbid HIV and T2DM (HIV+T2DM).Objective: This qualitative study sought to: 1) identify and compare perceived determinants of medication adherence for HIV and, separately, for T2DM, and 2) explore how participants prioritize conditions.Methods: Between October 2022 and January 2023, we conducted in-depth interviews with individuals aged 50 or older, living with comorbid HIV+T2DM. Participants were prescribed oral medications to treat their conditions and had recent clinical measures indicating probable challenges with medication adherence. Interviews with consented participants from a large academic health center in the Midwest were conducted remotely. Questions largely drew from the Theoretical Domains Framework (TDF), a widely used implementation science framework. Additional questions explored the prioritization of conditions. Analysis employed the Framework Method and a side-by-side comparison of key determinants of medication adherence by condition.Results: A total of 19 interviews were audio recorded, transcribed, and analyzed. Partici
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- 2023
58. A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings.
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Li, Chengdong, Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne, Umpierrez, Guillermo, Seley, Jane, Xu, Nicole, Nguyen, Kevin, Simonson, Gregg, Agus, Michael, Al-Sofiani, Mohammed, Armaiz-Pena, Gustavo, Bailey, Timothy, Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn, Benhamou, Pierre-Yves, Bequette, B, Blevins, Thomas, Breton, Marc, Castle, Jessica, Chase, James, Chen, Kong, Choudhary, Pratik, Clements, Mark, Close, Kelly, Cook, Curtiss, Danne, Thomas, Doyle, Francis, Drincic, Angela, Dungan, Kathleen, Edelman, Steven, Ejskjaer, Niels, Espinoza, Juan, Fleming, G, Forlenza, Gregory, Freckmann, Guido, Galindo, Rodolfo, Gomez, Ana, Gutow, Hanna, Heinemann, Lutz, Hirsch, Irl, Hoang, Thanh, Hovorka, Roman, Jendle, Johan, Ji, Linong, Joshi, Shashank, Joubert, Michael, Koliwad, Suneil, Lal, Rayhan, Lansang, M, Lee, Wei-An, Leelarathna, Lalantha, Leiter, Lawrence, Lind, Marcus, Litchman, Michelle, Mader, Julia, Mahoney, Katherine, Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras, Mayorov, Alexander, Messler, Jordan, Miller, Joshua, Mohan, Viswanathan, Nichols, James, Nørgaard, Kirsten, ONeal, David, Pasquel, Francisco, Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William, Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun-Jung, Russell, Steven, Shah, Viral, Sherr, Jennifer, Sode, Koji, Spanakis, Elias, Wake, Deborah, Waki, Kayo, Wallia, Amisha, Weinberg, Melissa, Wolpert, Howard, Wright, Eugene, Zilbermint, Mihail, Kovatchev, Boris, Klonoff, David, Wang, Jing, Rodbard, David, Kohn, Michael, Li, Chengdong, Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne, Umpierrez, Guillermo, Seley, Jane, Xu, Nicole, Nguyen, Kevin, Simonson, Gregg, Agus, Michael, Al-Sofiani, Mohammed, Armaiz-Pena, Gustavo, Bailey, Timothy, Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn, Benhamou, Pierre-Yves, Bequette, B, Blevins, Thomas, Breton, Marc, Castle, Jessica, Chase, James, Chen, Kong, Choudhary, Pratik, Clements, Mark, Close, Kelly, Cook, Curtiss, Danne, Thomas, Doyle, Francis, Drincic, Angela, Dungan, Kathleen, Edelman, Steven, Ejskjaer, Niels, Espinoza, Juan, Fleming, G, Forlenza, Gregory, Freckmann, Guido, Galindo, Rodolfo, Gomez, Ana, Gutow, Hanna, Heinemann, Lutz, Hirsch, Irl, Hoang, Thanh, Hovorka, Roman, Jendle, Johan, Ji, Linong, Joshi, Shashank, Joubert, Michael, Koliwad, Suneil, Lal, Rayhan, Lansang, M, Lee, Wei-An, Leelarathna, Lalantha, Leiter, Lawrence, Lind, Marcus, Litchman, Michelle, Mader, Julia, Mahoney, Katherine, Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras, Mayorov, Alexander, Messler, Jordan, Miller, Joshua, Mohan, Viswanathan, Nichols, James, Nørgaard, Kirsten, ONeal, David, Pasquel, Francisco, Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William, Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun-Jung, Russell, Steven, Shah, Viral, Sherr, Jennifer, Sode, Koji, Spanakis, Elias, Wake, Deborah, Waki, Kayo, Wallia, Amisha, Weinberg, Melissa, Wolpert, Howard, Wright, Eugene, Zilbermint, Mihail, Kovatchev, Boris, Klonoff, David, Wang, Jing, Rodbard, David, and Kohn, Michael
- Abstract
BACKGROUND: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. METHODS: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low-glucose and low-glucose hypoglycemia; very high-glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. RESULTS: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. CONCLUSION: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by clini
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- 2023
59. A Glycemia Risk Index (GRI) of Hypoglycemia and Hyperglycemia for Continuous Glucose Monitoring Validated by Clinician Ratings
- Author
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Klonoff, David C., Wang, Jing, Rodbard, David, Kohn, Michael A., Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne L., Umpierrez, Guillermo E., Seley, Jane Jeffrie, Xu, Nicole Y., Nguyen, Kevin T., Simonson, Gregg, Agus, Michael S.D., Al-Sofiani, Mohammed E., Armaiz-Pena, Gustavo, Bailey, Timothy S., Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn Yeshiwas, Benhamou, Pierre Yves, Bequette, B. Wayne, Blevins, Thomas, Breton, Marc D., Castle, Jessica R., Chase, James Geoffrey, Chen, Kong Y., Choudhary, Pratik, Clements, Mark A., Close, Kelly L., Cook, Curtiss B., Danne, Thomas, Doyle, Francis J., Drincic, Angela, Dungan, Kathleen M., Edelman, Steven V., Ejskjaer, Niels, Espinoza, Juan C., Fleming, G. Alexander, Forlenza, Gregory P., Freckmann, Guido, Galindo, Rodolfo J., Gomez, Ana Maria, Gutow, Hanna A., Heinemann, Lutz, Hirsch, Irl B., Hoang, Thanh D., Hovorka, Roman, Jendle, Johan H., Ji, Linong, Joshi, Shashank R., Joubert, Michael, Koliwad, Suneil K., Lal, Rayhan A., Lansang, M. Cecilia, Lee, Wei An, Leelarathna, Lalantha, Leiter, Lawrence A., Lind, Marcus, Litchman, Michelle L., Mader, Julia K., Mahoney, Katherine M., Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras N., Mayorov, Alexander, Messler, Jordan, Miller, Joshua D., Mohan, Viswanathan, Nichols, James H., Nørgaard, Kirsten, O’Neal, David N., Pasquel, Francisco J., Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William H., Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun Jung, Russell, Steven J., Shah, Viral N., Sherr, Jennifer L., Sode, Koji, Spanakis, Elias K., Wake, Deborah J., Waki, Kayo, Wallia, Amisha, Weinberg, Melissa E., Wolpert, Howard, Wright, Eugene E., Zilbermint, Mihail, Kovatchev, Boris, Klonoff, David C., Wang, Jing, Rodbard, David, Kohn, Michael A., Li, Chengdong, Liepmann, Dorian, Kerr, David, Ahn, David, Peters, Anne L., Umpierrez, Guillermo E., Seley, Jane Jeffrie, Xu, Nicole Y., Nguyen, Kevin T., Simonson, Gregg, Agus, Michael S.D., Al-Sofiani, Mohammed E., Armaiz-Pena, Gustavo, Bailey, Timothy S., Basu, Ananda, Battelino, Tadej, Bekele, Sewagegn Yeshiwas, Benhamou, Pierre Yves, Bequette, B. Wayne, Blevins, Thomas, Breton, Marc D., Castle, Jessica R., Chase, James Geoffrey, Chen, Kong Y., Choudhary, Pratik, Clements, Mark A., Close, Kelly L., Cook, Curtiss B., Danne, Thomas, Doyle, Francis J., Drincic, Angela, Dungan, Kathleen M., Edelman, Steven V., Ejskjaer, Niels, Espinoza, Juan C., Fleming, G. Alexander, Forlenza, Gregory P., Freckmann, Guido, Galindo, Rodolfo J., Gomez, Ana Maria, Gutow, Hanna A., Heinemann, Lutz, Hirsch, Irl B., Hoang, Thanh D., Hovorka, Roman, Jendle, Johan H., Ji, Linong, Joshi, Shashank R., Joubert, Michael, Koliwad, Suneil K., Lal, Rayhan A., Lansang, M. Cecilia, Lee, Wei An, Leelarathna, Lalantha, Leiter, Lawrence A., Lind, Marcus, Litchman, Michelle L., Mader, Julia K., Mahoney, Katherine M., Mankovsky, Boris, Masharani, Umesh, Mathioudakis, Nestoras N., Mayorov, Alexander, Messler, Jordan, Miller, Joshua D., Mohan, Viswanathan, Nichols, James H., Nørgaard, Kirsten, O’Neal, David N., Pasquel, Francisco J., Philis-Tsimikas, Athena, Pieber, Thomas, Phillip, Moshe, Polonsky, William H., Pop-Busui, Rodica, Rayman, Gerry, Rhee, Eun Jung, Russell, Steven J., Shah, Viral N., Sherr, Jennifer L., Sode, Koji, Spanakis, Elias K., Wake, Deborah J., Waki, Kayo, Wallia, Amisha, Weinberg, Melissa E., Wolpert, Howard, Wright, Eugene E., Zilbermint, Mihail, and Kovatchev, Boris
- Abstract
Background: A composite metric for the quality of glycemia from continuous glucose monitor (CGM) tracings could be useful for assisting with basic clinical interpretation of CGM data. Methods: We assembled a data set of 14-day CGM tracings from 225 insulin-treated adults with diabetes. Using a balanced incomplete block design, 330 clinicians who were highly experienced with CGM analysis and interpretation ranked the CGM tracings from best to worst quality of glycemia. We used principal component analysis and multiple regressions to develop a model to predict the clinician ranking based on seven standard metrics in an Ambulatory Glucose Profile: very low–glucose and low-glucose hypoglycemia; very high–glucose and high-glucose hyperglycemia; time in range; mean glucose; and coefficient of variation. Results: The analysis showed that clinician rankings depend on two components, one related to hypoglycemia that gives more weight to very low-glucose than to low-glucose and the other related to hyperglycemia that likewise gives greater weight to very high-glucose than to high-glucose. These two components should be calculated and displayed separately, but they can also be combined into a single Glycemia Risk Index (GRI) that corresponds closely to the clinician rankings of the overall quality of glycemia (r = 0.95). The GRI can be displayed graphically on a GRI Grid with the hypoglycemia component on the horizontal axis and the hyperglycemia component on the vertical axis. Diagonal lines divide the graph into five zones (quintiles) corresponding to the best (0th to 20th percentile) to worst (81st to 100th percentile) overall quality of glycemia. The GRI Grid enables users to track sequential changes within an individual over time and compare groups of individuals. Conclusion: The GRI is a single-number summary of the quality of glycemia. Its hypoglycemia and hyperglycemia components provide actionable scores and a graphical display (the GRI Grid) that can be used by cl
- Published
- 2023
60. Glycemic Control and Urinary Tract Infections in Women with Type 1 Diabetes: Results from the DCCT/EDIC
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Nathan, D.M., Zinman, B., Crofford, O., Genuth, S., Brown-Friday, J., Crandall, J., Engel, H., Engel, S., Martinez, H., Phillips, M., Reid, M., Shamoon, H., Sheindlin, J., Gubitosi-Klug, R., Mayer, L., Pendegast, S., Zegarra, H., Miller, D., Singerman, L., Smith-Brewer, S., Novak, M., Quin, J., Genuth, Saul, Palmert, M., Brown, E., McConnell, J., Pugsley, P., Crawford, P., Dahms, W., Brillon, D., Lackaye, M.E., Kiss, S., Chan, R., Orlin, A., Rubin, M., Reppucci, V., Lee, T., Heinemann, M., Chang, S., Levy, B., Jovanovic, L., Richardson, M., Bosco, B., Dwoskin, A., Hanna, R., Barron, S., Campbell, R., Bhan, A., Kruger, D., Jones, J.K., Edwards, P.A., Carey, J.D., Angus, E., Thomas, A., Galprin, A., McLellan, M., Whitehouse, F., Bergenstal, R., Johnson, M., Gunyou, K., Thomas, L., Laechelt, J., Hollander, P., Spencer, M., Kendall, D., Cuddihy, R., Callahan, P., List, S., Gott, J., Rude, N., Olson, B., Franz, M., Castle, G., Birk, R., Nelson, J., Freking, D., Gill, L., Mestrezat, W., Etzwiler, D., Morgan, K., Aiello, L.P., Golden, E., Arrigg, P., Asuquo, V., Beaser, R., Bestourous, L., Cavallerano, J., Cavicchi, R., Ganda, O., Hamdy, O., Kirby, R., Murtha, T., Schlossman, D., Shah, S., Sharuk, G., Silva, P., Silver, P., Stockman, M., Sun, J., Weimann, E., Wolpert, H., Aiello, L.M., Jacobson, A., Rand, L., Rosenzwieg, J., Larkin, M.E., Christofi, M., Folino, K., Godine, J., Lou, P., Stevens, C., Anderson, E., Bode, H., Brink, S., Cornish, C., Cros, D., Delahanty, L., deManbey, A., Haggan, C., Lynch, J., McKitrick, C., Norman, D., Moore, D., Ong, M., Taylor, C., Zimbler, D., Crowell, S., Fritz, S., Hansen, K., Gauthier-Kelly, C., Service, F.J., Ziegler, G., Colligan, R., Schmidt, L., French, B., Woodwick, R., Rizza, R., Schwenk, W.F., Haymond, M., Pach, J., Mortenson, J., Zimmerman, B., Lucas, A., Luttrell, L., Lopes-Virella, M., Caulder, S., Pittman, C., Patel, N., Lee, K., Nutaitis, M., Fernandes, J., Hermayer, K., Kwon, S., Blevins, A., Parker, J., Colwell, J., Lee, D., Soule, J., Lindsey, P., Bracey, M., Farr, A., Elsing, S., Thompson, T., Selby, J., Lyons, T., Yacoub-Wasef, S., Szpiech, M., Wood, D., Mayfield, R., Molitch, M., Adelman, D., Colson, S., Jampol, L., Lyon, A., Gill, M., Strugula, Z., Kaminski, L., Mirza, R., Simjanoski, E., Ryan, D., Johnson, C., Wallia, A., Ajroud-Driss, S., Astelford, P., Leloudes, N., Degillio, A., Schaefer, B., Mudaliar, S., Lorenzi, G., Goldbaum, M., Jones, K., Prince, M., Swenson, M., Grant, I., Reed, R., Lyon, R., Kolterman, O., Giotta, M., Clark, T., Friedenberg, G., Sivitz, W.I., Vittetoe, B., Kramer, J., Bayless, M., Zeitler, R., Schrott, H., Olson, N., Snetselaar, L., Hoffman, R., MacIndoe, J., Weingeist, T., Fountain, C., Mendley, S., Johnsonbaugh, S., Patronas, M., Carney, M., Salemi, P., Liss, R., Hebdon, M., Counts, D., Donner, T., Gordon, J., Hemady, R., Kowarski, A., Ostrowski, D., Steidl, S., Jones, B., Herman, W.H., Martin, C.L., Pop-Busui, R., Greene, D.A., Stevens, M.J., Burkhart, N., Sandford, T., Floyd, J., Bantle, J., Wimmergren, N., Terry, J., Koozekanani, D., Montezuma, S., Rogness, B., Mech, M., Strand, T., Olson, J., McKenzie, L., Kwong, C., Goetz, F., Warhol, R., Hainsworth, D., Goldstein, D., Hitt, S., Giangiacomo, J., Schade, D.S., Canady, J.L., Burge, M.R., Das, A., Avery, R.B., Ketai, L.H., Chapin, J.E., Schluter, M.L., Rich, J., Johannes, C., Hornbeck, D., Schutta, M., Bourne, P.A., Brucker, A., Braunstein, S., Schwartz, S., Maschak-Carey, B.J., Baker, L., Orchard, T., Cimino, L., Songer, T., Doft, B., Olson, S., Becker, D., Rubinstein, D., Bergren, R.L., Fruit, J., Hyre, R., Palmer, C., Silvers, N., Lobes, L., Rath, P. Paczan, Conrad, P.W., Yalamanchi, S., J.Wesche, Bratkowksi, M., Arslanian, S., Rinkoff, J., Warnicki, J., Curtin, D., Steinberg, D., Vagstad, G., Harris, R., Steranchak, L., Arch, J., Kelly, K., Ostrosaka, P., Guiliani, M., Good, M., Williams, T., Olsen, K., Campbell, A., Shipe, C., Conwit, R., Finegold, D., Zaucha, M., Drash, A., Morrison, A., Malone, J.I., Bernal, M.L., Pavan, P.R., Grove, N., Tanaka, E.A., McMillan, D., Vaccaro-Kish, J., Babbione, L., Solc, H., DeClue, T.J., Dagogo-Jack, S., Wigley, C., Ricks, H., Kitabchi, A., Chaum, E., Murphy, M.B., Moser, S., Meyer, D., Iannacone, A., Yoser, S., Bryer-Ash, M., Schussler, S., Lambeth, H., Raskin, P., Strowig, S., Basco, M., Cercone, S., Barnie, A., Devenyi, R., Mandelcorn, M., Brent, M., Rogers, S., Gordon, A., Bakshi, N., Perkins, B., Tuason, L., Perdikaris, F., Ehrlich, R., Daneman, D., Perlman, K., Ferguson, S., Palmer, J., Fahlstrom, R., de Boer, I.H., Kinyoun, J., Van Ottingham, L., Catton, S., Ginsberg, J., McDonald, C., Harth, J., Driscoll, M., Sheidow, T., Mahon, J., Canny, C., Nicolle, D., Colby, P., Dupre, J., Hramiak, I., Rodger, N.W., Jenner, M., Smith, T., Brown, W., May, M., Hagan, J. Lipps, Agarwal, A., Adkins, T., Lorenz, R., Feman, S., Survant, L., White, N.H., Levandoski, L., Grand, G., Thomas, M., Joseph, D., Blinder, K., Shah, G., Burgess, D., Boniuk, I., Santiago, J., Tamborlane, W., Gatcomb, P., Stoessel, K., Ramos, P., Fong, K., Ossorio, P., Ahern, J., Beck, C., Gaston, P., Trail, R., Lachin, J., Cleary, P., Backlund, J., Bebu, I., Braffett, B., Diminick, L., Gao, X., Hsu, W., Klumpp, K., Larsen, M., McGee, P., Sun, W., Villavicencio, S., Anderson, K., Dews, L., Younes, Naji, Rutledge, B., Chan, K., Rosenberg, D., Petty, B., Determan, A., Kenny, D., Williams, C., Cowie, C., Siebert, C., Steffes, M., Arends, V., Bucksa, J., Nowicki, M., Chavers, B., O’Leary, D., Polak, J., Harrington, A., Funk, L., Crow, R., Gloeb, B., Thomas, S., O’Donnell, C., Soliman, E.Z., Zhang, Z.M., Li, Y., Campbell, C., Keasler, L., Hensley, S., Hu, J., Barr, M., Taylor, T., Prineas, R., Feldman, E.L., Albers, J.W., Low, P., Sommer, C., Nickander, K., Speigelberg, T., Pfiefer, M., Schumer, M., Moran, M., Farquhar, J., Ryan, C., Sandstrom, D., Geckle, M., Cupelli, E., Thoma, F., Burzuk, B., Woodfill, T., Danis, R., Blodi, B., Lawrence, D., Wabers, H., Gangaputra, S., Neill, S., Burger, M., Dingledine, J., Gama, V., Sussman, R., Davis, M., Hubbard, L., Budoff, M., Darabian, S., Rezaeian, P., Wong, N., Fox, M., Oudiz, R., Kim, L., Detrano, R., Cruickshanks, K., Dalton, D., Bainbridge, K., Lima, J., Bluemke, D., Turkbey, E., van der Geest, R.J., Liu, C., Malayeri, A., Jain, A., Miao, C., Chahal, H., Jarboe, R., Monnier, V., Sell, D., Strauch, C., Hazen, S., Pratt, A., Tang, W., Brunzell, J., Purnell, J., Natarajan, R., Miao, F., Zhang, L., Chen, Z., Paterson, A., Boright, A., Bull, S., Sun, L., Scherer, S., Lyons, T.J., Jenkins, A., Klein, R., Virella, G., Jaffa, A., Carter, R., Stoner, J., Garvey, W.T., Lackland, D., Brabham, M., McGee, D., Zheng, D., Mayfield, R.K., Maynard, J., Wessells, H., Sarma, A., Dunn, R., Holt, S., Hotaling, J., Kim, C., Clemens, Q., Brown, J., McVary, K., Lenherr, Sara M., Clemens, J. Quentin, Braffett, Barbara H., Cleary, Patricia A., Dunn, Rodney L., Hotaling, James M., Jacobson, Alan M., Kim, Catherine, Herman, William, Brown, Jeanette S., Wessells, Hunter, and Sarma, Aruna V.
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- 2016
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61. Diabetes Care After Transplant: Definitions, Risk Factors, and Clinical Management
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Wallia, Amisha, Illuri, Vidhya, and Molitch, Mark E.
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- 2016
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62. Inpatient Hypoglycemic Events in a Comparative Effectiveness Trial for Glycemic Control in a High-Risk Population
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Welsh, Nicholas, Derby, Teresa, Gupta, Suruchi, Fulkerson, Candice, Oakes, Diana Johnson, Schmidt, Kathleen, Parikh, Neehar D., Norvell, J.P., Levitsky, Josh, Rademaker, Alfred, Molitch, Mark E., and Wallia, Amisha
- Published
- 2016
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63. The Effect of Interventions to Prevent Type 2 Diabetes on the Development of Diabetic Retinopathy: The DPP/DPPOS Experience
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White, Neil H., Pan, Qing, Knowler, William C., Schroeder, Emily B., Dabelea, Dana, Chew, Emily Y., Blodi, Barbara, Goldberg, Ronald B., Pi-Sunyer, Xavier, Darwin, Christine, Schlögl, Mathias, Nathan, David M., Goldstein, Barry J., Furlong, Kevin, Smith, Kellie A., Mendoza, Jewel, Wildman, Wendi, Simmons, Marsha, Jensen, Genine, Liberoni, Renee, Spandorfer, John, Pepe, Constance, Donahue, Richard P., Prineas, Ronald, Rowe, Patricia, Giannella, Anna, Calles, Jeanette, Sanguily, Juliet, Cassanova-Romero, Paul, Castillo-Florez, Sumaya, Florez, Hermes J., Garg, Rajesh, Kirby, Lascelles, Lara, Olga, Larreal, Carmen, McLymont, Valerie, Mendez, Jadell, Perry, Arlette, Saab, Patrice, Veciana, Bertha, Haffner, Steven M., Hazuda, Helen P., Montez, Maria G., Isaac, Juan, Hattaway, Kathy, Lorenzo, Carlos, Martinez, Arlene, Salazar, Monica, Walker, Tatiana, Hamman, Richard F., Nash, Patricia V., Steinke, Sheila C., Testaverde, Lisa, Truong, Jennifer, Anderson, Denise R., Ballonoff, Larry B., Bouffard, Alexis, Boxer, Rebecca S., Bucca, Brian, Calonge, B. Ned, Delve, Lynne, Farago, Martha, Hill, James O., Hoyer, Shelley R., Jenkins, Tonya, Jortberg, Bonnie T., Lenz, Dione, Miller, Marsha, Nilan, Thomas, Perreault, Leigh, Price, David W., Regensteiner, Judith G., Seagle, Helen, Smith, Carissa M., VanDorsten, Brent, Horton, Edward S., Munshi, Medha, Lawton, Kathleen E., Poirier, Catherine S., Swift, Kati, Jackson, Sharon D., Arky, Ronald A., Bryant, Marybeth, Burke, Jacqueline P., Caballero, Enrique, Callaphan, Karen M., Fargnoli, Barbara, Franklin, Therese, Ganda, Om P., Guidi, Ashley, Guido, Mathew, Jacobsen, Alan M., Kula, Lyn M., Kocal, Margaret, Lambert, Lori, Ledbury, Sarah, Malloy, Maureen A., Middelbeek, Roeland J.W., Nicosia, Maryanne, Oldmixon, Cathryn F., Pan, Jocelyn, Quitingon, Marizel, Rainville, Riley, Rubtchinsky, Stacy, Seely, Ellen W., Sansoucy, Jessica, Schweizer, Dana, Simonson, Donald, Smith, Fannie, Solomon, Caren G., Spellman, Jeanne, Warram, James, Kahn, Steven E., Montgomery, Brenda K., Fattaleh, Basma, Colegrove, Celeste, Fujimoto, Wilfred, Knopp, Robert H., Lipkin, Edward W., Marr, Michelle, Morgan-Taggart, Ivy, Murillo, Anne, O’Neal, Kayla, Trence, Dace, Taylor, Lonnese, Thomas, April, Tsai, Elaine C., Kitabchi, Abbas E., Dagogo-Jack, Samuel, Murphy, Mary E., Taylor, Laura, Dolgoff, Jennifer, Hampton, Ethel Faye, Applegate, William B., Bryer-Ash, Michael, Clark, Debra, Frieson, Sandra L., Ibebuogu, Uzoma, Imseis, Raed, Lambeth, Helen, Lichtermann, Lynne C., Oktaei, Hooman, Ricks, Harriet, Rutledge, Lily M.K., Sherman, Amy R., Smith, Clara M., Soberman, Judith E., Williamsleaves, Beverly, Patel, Avnisha, Nyenwe, Ebenezer A., Metzger, Boyd E., Molitch, Mark E., Wallia, Amisha, Johnson, Mariana K., VanderMolen, Sarah, Adelman, Daphne T., Behrends, Catherine, Cook, Michelle, Fitzgibbon, Marian, Giles, Mimi M., Hartmuller, Monica, Johnson, Cheryl K.H., Larsen, Diane, Lowe, Anne, Lyman, Megan, McPherson, David, Penn, Samsam C., Pitts, Thomas, Reinhart, Renee, Roston, Susan, Schinleber, Pamela A., McKitrick, Charles, Turgeon, Heather, Larkin, Mary, Mugford, Marielle, Thangthaeng, Nopporn, Leander, Fernelle, Abbott, Kathy, Anderson, Ellen, Bissett, Laurie, Bondi, Kristy, Cagliero, Enrico, Florez, Jose C., Delahanty, Linda, Goldman, Valerie, Grassa, Elaine, Gurry, Lindsey, D’Anna, Kali, Leandre, Fernelle, Lou, Peter, Poulos, Alexandra, Raymond, Elyse, Ripley, Valerie, Stevens, Christine, Tseng, Beverly, Olefsky, Jerrold M., Barrettonnor, Elizabeth, Mudaliar, Sunder, Rosario Araneta, Maria, Carrion-Petersen, Mary Lou, Vejvoda, Karen, Bassiouni, Sarah, Beltran, Madeline, Claravall, Lauren N., Dowden, Jonalle M., Edelman, Steven V., Garimella, Pranav, Henry, Robert R., Horne, Javiva, Lamkin, Marycie, Szerdi Janesch, Simona, Leos, Diana, Polonsky, William, Ruiz, Rosa, Smith, Jean, Torio-Hurley, Jennifer, Pi-Sunyer, F. Xavier, Laferrere, Blandine, Lee, Jane E., Hagamen, Susan, Kelly-Dinham, Kim, Allison, David B., Agharanya, Nnenna, Aronoff, Nancy J., Baldo, Maria, Crandall, Jill P., Foo, Sandra T., Luchsinger, Jose A., Pal, Carmen, Parkes, Kathy, Pena, Mary Beth, Roman, Julie, Rooney, Ellen S., VanWye, Gretchen E.H., Viscovich, Kristine A., Prince, Melvin J., Marrero, David G., Mather, Kieren J., De Groot, Mary, Kelly, Susie M., Jackson, Marcia A., McAtee, Gina, Putenney, Paula, Ackermann, Ronald T., Cantrell, Carolyn M., Dotson, Yolanda F., Fineberg, Edwin S., Fultz, Megan, Guare, John C., Hadden, Angela, Ignaut, James M., Kirkman, Marion S., O’Kelly Phillips, Erin, Pinner, Kisha L., Porter, Beverly D., Roach, Paris J., Rowland, Nancy D., Wheeler, Madelyn L., Ratner, Robert E., Aroda, Vanita, Magee, Michelle, Youssef, Gretchen, Shapiro, Sue, Andon, Natalie, Bavido-Arrage, Catherine, Boggs, Geraldine, Bronsord, Marjorie, Brown, Ernestine, Love Burkott, Holly, Cheatham, Wayman W., Cola, Susan, Evans, Cindy, Gibbs, Peggy, Kellum, Tracy, Leon, Lilia, Lagarda, Milvia, Levatan, Claresa, Lindsay, Milajurine, Nair, Asha K., Park, Jean, Passaro, Maureen, Silverman, Angela, Uwaifo, Gabriel, Wells-Thayer, Debra, Wiggins, Renee, Saad, Mohammed F., Watson, Karol, Budget, Maria, Jinagouda, Sujata, Botrous, Medhat, Sosa, Anthony, Tadros, Sameh, Akbar, Khan, Conzues, Claudia, Magpuri, Perpetua, Ngo, Kathy, Rassam, Amer, Waters, Debra, Xapthalamous, Kathy, Santiago, Julio V., Brown, Angela L., Santiago, Ana, Das, Samia, Khare-Ranade, Prajakta, Stich, Tamara, Fisher, Edwin, Hurt, Emma, Jones, Jackie, Jones, Tracy, Kerr, Michelle, McCowan, Sherri, Ryder, Lucy, Wernimont, Cormarie, Saudek, Christopher D., Hill Golden, Sherita, Bradley, Vanessa, Sullivan, Emily, Whittington, Tracy, Abbas, Caroline, Allen, Adrienne, Brancati, Frederick L., Cappelli, Sharon, Clark, Jeanne M., Charleston, Jeanne B., Freel, Janice, Horak, Katherine, Greene, Alicia, Jiggetts, Dawn, Johnson, Delois, Joseph, Hope, Kalyani, Rita, Loman, Kimberly, Mathioudakis, Nestoras, Maruthur, Nisa, Mosley, Henry, Reusing, John, Rubin, Richard R., Samuels, Alafia, Shields, Thomas, Stephens, Shawne, Stewart, Kerry J., Thomas, LeeLana, Utsey, Evonne, Williamson, Paula, Schade, David S., Adams, Karwyn S., Johannes, Carolyn, Hemphill, Claire, Hyde, Penny, Canady, Janene L., Atler, Leslie F., Boyle, Patrick J., Burge, Mark R., Chai, Lisa, Colleran, Kathleen, Fondino, Ateka, Gonzales, Ysela, Hernandez-McGinnis, Doris A., Katz, Patricia, King, Carolyn, Middendorf, Julia, Rubinchik, Sofya, Senter, Willette, Shamoon, Harry, Crandall, Jill, Brown, Janet O., Trandafirescu, Gilda, Powell, Danielle, Adorno, Elsie, Cox, Liane, Duffy, Helena, Engel, Samuel, Friedler, Allison, Goldstein, Angela, Howardentury, Crystal J., Lukin, Jennifer, Kloiber, Stacey, Longchamp, Nadege, Martinez, Helen, Pompi, Dorothy, Scheindlin, Jonathan, Tomuta, Norica, Violino, Elissa, Walker, Elizabeth A., Wylie-Rosett, Judith, Zimmerman, Elise, Zonszein, Joel, Wing, Rena R., Orchard, Trevor, Venditti, Elizabeth, Koenning, Gaye, Kramer, M. Kaye, Smith, Marie, Jeffries, Susan, Weinzierl, Valarie, Barr, Susan, Benchoff, Catherine, Boraz, Miriam, Clifford, Lisa, Culyba, Rebecca, Frazier, Marlene, Gilligan, Ryan, Guimond, Stephanie, Harrier, Susan, Harris, Louann, Kriska, Andrea, Manjoo, Qurashia, Mullen, Monica, Noel, Alicia, Otto, Amy, Pettigrew, Jessica, Rockette-Wagner, Bonny, Rubinstein, Debra, Semler, Linda, Smith, Cheryl F., Williams, Katherine V., Wilson, Tara, Arakaki, Richard F., Mau, Marjorie K., Latimer, Renee W., Isonaga, Mae K., Baker-Ladao, Narleen K., Bow, Ralph, Bermudez, Nina E., Dias, Lorna, Inouye, Jillian, Melish, John S., Mikami, Kathy, Mohideen, Pharis, Odom, Sharon K., Perry, Raynette U., Yamamoto, Robin E., Hanson, Robert L., Shah, Vallabh, Hoskin, Mary A., Percy, Carol A., Cooeyate, Norman, Natewa, Camille, Dodge, Charlotte, Enote, Alvera, Anderson, Harelda, Acton, Kelly J., Andre, Vickie L., Barber, Rosalyn, Begay, Shandiin, Bennett, Peter H., Benson, Mary Beth, Bird, Evelyn C., Broussard, Brenda A., Bucca, Brian C., Chavez, Marcella, Cook, Sherron, Curtis, Jeff, Dacawyma, Tara, Doughty, Matthew S., Duncan, Roberta, Edgerton, Cyndy, Ghahate, Jacqueline M., Glass, Justin, Glass, Martia, Gohdes, Dorothy, Grant, Wendy, Horse, Ellie, Ingraham, Louise E., Jackson, Merry, Jay, Priscilla, Kaskalla, Roylen S., Kavena, Karen, Kessler, David, Kobus, Kathleen M., Krakoff, Jonathan, Kurland, Jason, Manus, Catherine, McCabe, Cherie, Michaels, Sara, Morgan, Tina, Nashboo, Yolanda, Nelson, Julie A., Poirier, Steven, Polczynski, Evette, Piromalli, Christopher, Reidy, Mike, Roumain, Jeanine, Rowse, Debra, Roy, Robert J., Sangster, Sandra, Sewenemewa, Janet, Smart, Miranda, Spencer, Chelsea, Tonemah, Darryl, Williams, Rachel, Wilson, Charlton, Yazzie, Michelle, Bain, Raymond, Fowler, Sarah, Larsen, Michael D., Jablonski, Kathleen, Temprosa, Marinella, Brenneman, Tina, Edelstein, Sharon L., Abebe, Solome, Bamdad, Julie, Barkalow, Melanie, Bethepu, Joel, Bezabeh, Tsedenia, Bowers, Anna, Butler, Nicole, Callaghan, Jackie, Carter, Caitlin E., Christophi, Costas, Dwyer, Gregory M., Foulkes, Mary, Gao, Yuping, Gooding, Robert, Gottlieb, Adrienne, Grimes, Kristina L., Grover-Fairchild, Nisha, Haffner, Lori, Hoffman, Heather, Jones, Steve, Jones, Tara L., Katz, Richard, Kolinjivadi, Preethy, Lachin, John M., Ma, Yong, Mucik, Pamela, Orlosky, Robert, Reamer, Susan, Rochon, James, Sapozhnikova, Alla, Sherif, Hanna, Stimpson, Charlotte, Hogan Tjaden, Ashley, Walker-Murray, Fredricka, Venditti, Elizabeth M., Kriska, Andrea M., Weinzierl, Valerie, Marcovina, Santica, Aldrich, F. Alan, Harting, Jessica, Albers, John, Strylewicz, Greg, Killeen, Anthony, Gabrielson, Deanna, Eastman, R., Fradkin, Judith, Garfield, Sanford, Lee, Christine, Gregg, Edward, Zhang, Ping, O’Leary, Dan, Evans, Gregory, Budoff, Matthew, Dailing, Chris, Stamm, Elizabeth, Schwartz, Ann, Navy, Caroline, Palermo, Lisa, Rautaharju, Pentti, Prineas, Ronald J., Soliman, Elsayed Z., Alexander, Teresa, Campbell, Charles, Hall, Sharon, Li, Yabing, Mills, Margaret, Pemberton, Nancy, Rautaharju, Farida, Zhang, Zhuming, Hu, Julie, Hensley, Susan, Keasler, Lisa, Taylor, Tonya, Danis, Ronald, Davis, Matthew, Hubbard, Larry, Endres, Ryan, Elsas, Deborah, Johnson, Samantha, Myers, Dawn, Barrett, Nancy, Baumhauer, Heather, Benz, Wendy, Cohn, Holly, Corkery, Ellie, Dohm, Kristi, Domalpally, Amitha, Gama, Vonnie, Goulding, Anne, Ewen, Andy, Hurtenbach, Cynthia, Lawrence, Daniel, McDaniel, Kyle, Pak, Jeong, Reimers, James, Shaw, Ruth, Swift, Maria, Vargo, Pamela, Watson, Sheila, Manly, Jennifer, Mayer-Davis, Elizabeth, Moran, Robert R., Ganiats, Ted, David, Kristin, Sarkin, Andrew J., Groessl, Erik, Katzir, Naomi, Chong, Helen, Herman, William H., Brändle, Michael, Brown, Morton B., Altshuler, David, Billings, Liana K., Chen, Ling, Harden, Maegan, Pollin, Toni I., Shuldiner, Alan R., Franks, Paul W., and Hivert, Marie-France
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Advanced and Specialized Nursing ,Endocrinology, Diabetes and Metabolism ,Internal Medicine ,Pathophysiology/Complications - Abstract
OBJECTIVE To determine whether interventions that slow or prevent the development of type 2 diabetes in those at risk reduce the subsequent prevalence of diabetic retinopathy. RESEARCH DESIGN AND METHODS The Diabetes Prevention Program (DPP) randomized subjects at risk for developing type 2 diabetes because of overweight/obesity and dysglycemia to metformin (MET), intensive lifestyle intervention (ILS), or placebo (PLB) to assess the prevention of diabetes. During the DPP and DPP Outcome Study (DPPOS), we performed fundus photography over time on study participants, regardless of their diabetes status. Fundus photographs were graded using the Early Treatment Diabetic Retinopathy Study grading system, with diabetic retinopathy defined as typical lesions of diabetic retinopathy (microaneurysms, exudates, or hemorrhage, or worse) in either eye. RESULTS Despite reduced progression to diabetes in the ILS and MET groups compared with PLB, there was no difference in the prevalence of diabetic retinopathy between treatment groups after 1, 5, 11, or 16 years of follow-up. No treatment group differences in retinopathy were found within prespecified subgroups (baseline age, sex, race/ethnicity, baseline BMI). In addition, there was no difference in the prevalence of diabetic retinopathy between those exposed to metformin and those not exposed to metformin, regardless of treatment group assignment. CONCLUSIONS Interventions that delay or prevent the onset of type 2 diabetes in overweight/obese subjects with dysglycemia who are at risk for diabetes do not reduce the development of diabetic retinopathy for up to 20 years.
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- 2022
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64. Inpatient Management of T2DM and Hyperglycemia in Older Adults
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DeCarlo, Kristen and Wallia, Amisha
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- 2019
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65. Commentary/Introduction for “Debate on Insulin vs. Non-insulin Use in the Hospital Setting” Articles
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Wallia, Amisha and Seley, Jane Jeffrie
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- 2019
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66. Comparative cardiovascular effects of GLP ‐1 agonists using real‐world data
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Wallia, Amisha, primary, O’Brien, Matthew, additional, Hakimian, Stephanie, additional, Kang, Raymond, additional, Cooper, Andrew, additional, Lancki, Nicola, additional, Stephen, John J., additional, Aikman, Cassandra, additional, Liss, David, additional, Parker, Emily, additional, and Ackermann, Ronald T., additional
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- 2023
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67. Stress and human health in diabetes: A report from the 19th Chicago Biomedical Consortium symposium
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Mirmira, Raghavendra G., primary, Kulkarni, Rohit N., additional, Xu, Pingwen, additional, Drossos, Tina, additional, Varady, Krista, additional, Knutson, Kristen L., additional, Reutrakul, Sirimon, additional, Martyn-Nemeth, Pamela, additional, Sargis, Robert M., additional, Wallia, Amisha, additional, Tuchman, Arleen M., additional, Weissberg-Benchell, Jill, additional, Danielson, Kirstie K., additional, Oakes, Scott A., additional, Thomas, Celeste C., additional, Layden, Brian T., additional, May, Sarah C., additional, Burbea Hoffmann, Michelle, additional, Gatta, Eleonora, additional, Solway, Julian, additional, and Philipson, Louis H., additional
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- 2023
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68. Relationship Between Hyperglycemia and Heart Transplant Rejection
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Mateo, R., Gupta, S., Wallia, A., Cameron, C., Schmidt, K., Oakes, D.J., Aleppo, G., Andrei, A.-C., Wilcox, J.E., Grady, K., Gordon, R., and Molitch, M.E.
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- 2015
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69. Transitioning the Adult with Type 2 Diabetes From the Acute to Chronic Care Setting: Strategies to Support Pragmatic Implementation Success
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Magee, Michelle, Bardsley, Joan K., Wallia, Amisha, and Smith, Kelly M.
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- 2017
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70. Development of a Predictive Model for Hyperglycemia in Nondiabetic Recipients After Liver Transplantation
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Henry Zelada, MD, Lisa B. VanWagner, MD, MSc, Teresa Pollack, BS, Devan Higginbotham, MS, Lihui Zhao, PhD, Amy Yang, MS, Mark E. Molitch, MD, and Amisha Wallia, MD, MS
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Surgery ,RD1-811 - Abstract
Background. Posttransplant hyperglycemia has been associated with increased risks of transplant rejection, infections, length of stay, and mortality. Methods. To establish a predictive model to identify nondiabetic recipients at risk for developing postliver transplant (LT) hyperglycemia, we performed this secondary, retrospective data analysis of a single-center, prospective, randomized, controlled trial of glycemic control among 107 adult LT recipients in the inpatient period. Hyperglycemia was defined as a posttransplant glucose level greater than 200 mg/dL after initial discharge up to 1 month following surgery. Candidate variables with P less than 0.10 in univariate analyses were used to build a multivariable logistic regression model using forward stepwise selection. The final model chosen was based on statistical significance and additive contribution to the model based on the Bayesian Information Criteria. Results. Forty-three (40.2%) patients had at least 1 episode of hyperglycemia after transplant after the resolution of the initial postoperative hyperglycemia. Variables selected for inclusion in the model (using model optimization strategies) included length of hospital stay (odds ratio [OR], 0.83; P < 0.001), use of glucose-lowering medications at discharge (OR, 3.76; P = 0.03), donor female sex (OR, 3.18; P = 0.02) and donor white race (OR, 3.62; P = 0.01). The model had good calibration (Hosmer-Lemeshow goodness-of-fit test statistic = 9.74, P = 0.28) and discrimination (C-statistic = 0.78; 95% confidence interval, 0.65-0.81, bias-corrected C-statistic = 0.78). Conclusions. Shorter hospital stay, use of glucose-lowering medications at discharge, donor female sex and donor white race are important determinants in predicting hyperglycemia in nondiabetic recipients after hospital discharge up to 1 month after liver transplantation.
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- 2018
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71. Effect of Metformin and Lifestyle Interventions on Mortality in the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study
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Christine G, Lee, Brandy, Heckman-Stoddard, Dana, Dabelea, Kishore M, Gadde, David, Ehrmann, Leslie, Ford, Philip, Prorok, Edward J, Boyko, Xavier, Pi-Sunyer, Amisha, Wallia, William C, Knowler, Jill P, Crandall, Marinella, Temprosa, and Marie-France, Hivert
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Adult ,Advanced and Specialized Nursing ,medicine.medical_specialty ,business.industry ,Endocrinology, Diabetes and Metabolism ,Hazard ratio ,Type 2 diabetes ,Disease ,Placebo ,medicine.disease ,Metformin ,Diabetes Mellitus, Type 2 ,Cardiovascular Diseases ,Interquartile range ,Diabetes mellitus ,Internal medicine ,Internal Medicine ,medicine ,Humans ,Hypoglycemic Agents ,business ,Life Style ,Cause of death ,medicine.drug - Abstract
OBJECTIVE To determine whether metformin or lifestyle modification can lower rates of all-cause and cause-specific mortality in the Diabetes Prevention Program and Diabetes Prevention Program Outcomes Study. RESEARCH DESIGN AND METHODS From 1996 to 1999, 3,234 adults at high risk for type 2 diabetes were randomized to an intensive lifestyle intervention, masked metformin, or placebo. Placebo and lifestyle interventions stopped in 2001, and a modified lifestyle program was offered to everyone, but unmasked study metformin continued in those originally randomized. Causes of deaths through 31 December 2018 were adjudicated by blinded reviews. All-cause and cause-specific mortality hazard ratios (HRs) were estimated from Cox proportional hazards regression models and Fine-Gray models, respectively. RESULTS Over a median of 21 years (interquartile range 20–21), 453 participants died. Cancer was the leading cause of death (n = 170), followed by cardiovascular disease (n = 131). Compared with placebo, metformin did not influence mortality from all causes (HR 0.99 [95% CI 0.79, 1.25]), cancer (HR 1.04 [95% CI 0.72, 1.52]), or cardiovascular disease (HR 1.08 [95% CI 0.70, 1.66]). Similarly, lifestyle modification did not impact all-cause (HR 1.02 [95% CI 0.81, 1.28]), cancer (HR 1.07 [95% CI 0.74, 1.55]), or cardiovascular disease (HR 1.18 [95% CI 0.77, 1.81]) mortality. Analyses adjusted for diabetes status and duration, BMI, cumulative glycemic exposure, and cardiovascular risks yielded results similar to those for all-cause mortality. CONCLUSIONS Cancer was the leading cause of mortality among adults at high risk for type 2 diabetes. Although metformin and lifestyle modification prevented diabetes, neither strategy reduced all-cause, cancer, or cardiovascular mortality rates.
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- 2021
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72. Continuous Ketone Monitoring Consensus Report 2021
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Trisha Shang, Lori M. Laffel, Kevin T. Nguyen, Mark R. Prausnitz, Jane Jeffrie Seley, James H. Nichols, Ananda Basu, David C. Klonoff, Nestoras Mathioudakis, Jennifer L. Sherr, Kristin Castorino, Kong Y. Chen, Joshua D. Miller, Jennifer Y Zhang, Elias K. Spanakis, Priya Prahalad, David Kerr, Nicole Y. Xu, Guillermo E. Umpierrez, L. Kurt Midyett, Amisha Wallia, Francisco J. Pasquel, Suneil K. Koliwad, and Richard M. Bergenstal
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Adult ,medicine.medical_specialty ,Consensus ,Diabetic ketoacidosis ,Pediatric endocrinology ,Endocrinology, Diabetes and Metabolism ,Biomedical Engineering ,Bioengineering ,Diabetic Ketoacidosis ,Epidemiology ,Internal Medicine ,medicine ,Humans ,Child ,Monitoring, Physiologic ,business.industry ,Original Articles ,Ketosis ,Ketones ,medicine.disease ,Ketoacidosis ,Clinical trial ,Private practice ,Family medicine ,Ketonuria ,business ,Medical literature - Abstract
This article is the work product of the Continuous Ketone Monitoring Consensus Panel, which was organized by Diabetes Technology Society and met virtually on April 20, 2021. The panel consisted of 20 US-based experts in the use of diabetes technology, representing adult endocrinology, pediatric endocrinology, advanced practice nursing, diabetes care and education, clinical chemistry, and bioengineering. The panelists were from universities, hospitals, freestanding research institutes, government, and private practice. Panelists reviewed the medical literature pertaining to ten topics: (1) physiology of ketone production, (2) measurement of ketones, (3) performance of the first continuous ketone monitor (CKM) reported to be used in human trials, (4) demographics and epidemiology of diabetic ketoacidosis (DKA), (5) atypical hyperketonemia, (6) prevention of DKA, (7) non-DKA states of fasting ketonemia and ketonuria, (8) potential integration of CKMs with pumps and automated insulin delivery systems to prevent DKA, (9) clinical trials of CKMs, and (10) the future of CKMs. The panelists summarized the medical literature for each of the ten topics in this report. They also developed 30 conclusions (amounting to three conclusions for each topic) about CKMs and voted unanimously to adopt the 30 conclusions. This report is intended to support the development of safe and effective continuous ketone monitoring and to apply this technology in ways that will benefit people with diabetes.
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- 2021
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73. Retinopathy during the First 5 Years of Type 1 Diabetes and Subsequent Risk of Advanced Retinopathy
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Ionut Bebu, Lloyd P Aiello, Amisha Wallia, William Tamborlane, Arup Das, Dean P. Hainsworth, Neil H. White, Philip Raskin, Xiaoyu Gao, and John I. Malone
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Objectives: To determine whether individuals with type 1 diabetes (T1D) who develop any retinopathy at any time prior to five years of diabetes duration have an increased subsequent risk for further progression of retinopathy or onset of proliferative diabetic retinopathy (PDR), clinically significant macular edema (CSME), diabetes-related retinal photocoagulation or anti-VEGF injections. Additionally, to determine the influence of HbA1c and other risk factors in these individuals. Methods: Diabetic retinopathy (DR) was assessed longitudinally using standardized stereoscopic seven-field fundus photography at time intervals of six months to four years. Early onset DR (EDR) was defined as onset prior to 5 years of T1D duration. Cox models assessed the associations of EDR with subsequent risk of outcomes. Results: In unadjusted models, individuals with EDR (n=484) had an increased subsequent risk of PDR (hazard ratio HR=1.51, 95%CI [1.12,2.02], P=0.006), CSME (HR=1.44, [1.10,1.88], P=0.008) and diabetes-related retinal photocoagulation (HR=1.48, [1.12,1.96], P=0.006) compared to individuals without EDR (n=369). These associations remained significant adjusted for HbA1c, but only the association with PDR remained significant after adjustment for age, duration of T1D, HbA1c, sex, systolic/diastolic blood pressure, pulse, use of ACE inhibitors, albumin excretion rate, and eGFR (HR=1.47, [1.04,2.06], P=0.028). Conclusions: These data suggest that individuals with any sign of retinopathy within the first 5 years of T1D onset may be at higher risk of long-term development of advanced DR, especially PDR. Identification of early onset DR may influence prognosis and help guide therapeutic management to reduce the risk of future visual loss in these individuals.
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- 2022
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74. Psychological wellbeing and the association with burnout in a cohort of healthcare workers during the COVID-19 pandemic
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Jacqueline Bannon, Charlesnika T. Evans, Melanie Freedman, Cerina Lee, Thanh Huyen Vu, Amisha Wallia, John T. Wilkins, Judith T. Moskowitz, and Lisa R. Hirschhorn
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Burnout, depression, and anxiety are prevalent among healthcare workers (HCWs) during the COVID-19 pandemic and have been previously shown to contribute to poor health outcomes and reduced quality of care. Positive psychological constructs such as positive affect and meaning and purpose are related to resilience in the face of significant stress. No studies have examined these associations among a cohort of HCWs during this pandemic. The purpose of this study was to examine the association of depression, anxiety, positive affect, and meaning and purpose with burnout among HCWs during the COVID-19 pandemic. We utilized data from a cross-sectional survey conducted between September 29-December 8, 2021, among a cohort of 2,411 HCWs from a large, tertiary academic health care system in the Chicago area. We employed the Patient-Reported Outcomes Measurement Information System (PROMIS) measures for depression, anxiety, positive affect, and meaning and purpose and burnout was measured by the Oldenburg Burnout Inventory (OLBI). The majority (80.88%) of HCWs in this study identified as White, Non-Hispanic race/ethnicity, female sex (82.37%), and roughly one third were between ages 30–39 years old (30.98%). Registered nurses (26.96%) accounted for the largest single occupation group. The mean burnout score was 36.87 (SD = 7.65), with 53.38% of participants classified as having burnout, and registered nurses demonstrating the highest proportions of burnout (63.54%). Higher depression (coef = 0.15, SE = 0.03, p < 0.001) and anxiety (coef = 0.25, SE = 0.02, p < 0.001) scores were associated with higher burnout in multivariable linear regression models. Increased positive affect (coef= −0.19, SE= 0.02, p < 0.001) and meaning and purpose (coef= −0.12, SE= 0.01, p < 0.001) scores were significantly associated with reduced burnout. Positive affect and meaning and purpose were inversely associated with burnout among a cohort of HCWs during the COVID-19 pandemic. Previous studies of positive affect and meaning and purpose suggest the potential buffering effect that these indices may have on burnout. Future research is needed to examine the effect of positive affect and meaning and purpose on mitigating the negative impacts of burnout, depression, and anxiety among HCWs as they cope with the stress of the COVID-19 pandemic and beyond.
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- 2022
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75. Retinopathy during the First 5 Years of Type 1 Diabetes and Subsequent Risk of Advanced Retinopathy
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Malone, John I., primary, Gao, Xiaoyu, primary, Raskin, Philip, primary, White, Neil H., primary, Hainsworth, Dean P., primary, Das, Arup, primary, Tamborlane, William, primary, Wallia, Amisha, primary, Aiello, Lloyd P, primary, and Bebu, Ionut, primary
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- 2022
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76. PSUN330 Patients with Recurrent Hypoglycemia Encounters Across Chicago: Who are they?
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Zhao, Lihui, primary, Katz, Joshua, additional, Deng, Yu, additional, O’Brien, Matthew, additional, Furmanchuk, A’lona, additional, O’Connor, Clare, additional, Rosenman, Marc, additional, Kho, Abel, additional, and Wallia, Amisha, additional
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- 2022
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77. Psychological wellbeing and the association with burnout in a cohort of healthcare workers during the COVID-19 pandemic
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Bannon, Jacqueline, primary, Evans, Charlesnika T., additional, Freedman, Melanie, additional, Lee, Cerina, additional, Vu, Thanh Huyen, additional, Wallia, Amisha, additional, Wilkins, John T., additional, Moskowitz, Judith T., additional, and Hirschhorn, Lisa R., additional
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- 2022
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78. Empowering Health Care Workers on Social Media to Bolster Trust in Science and Vaccination During the Pandemic: Making IMPACT Using a Place-Based Approach
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Jain, Shikha, primary, Dhaon, Serena R, additional, Majmudar, Shivani, additional, Zimmermann, Laura J, additional, Mordell, Lisa, additional, Walker, Garth, additional, Wallia, Amisha, additional, Akbarnia, Halleh, additional, Khan, Ali, additional, Bloomgarden, Eve, additional, and Arora, Vineet M, additional
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- 2022
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79. Association between urinary cadmium levels and prediabetes in the NHANES 2005–2010 population
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Wallia, Amisha, Allen, Norrina Bai, Badon, Sylvia, and El Muayed, Malek
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- 2014
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80. Examination of Implementation of Intravenous and Subcutaneous Insulin Protocols and Glycemic Control in Heart Transplant Patients
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Wallia, Amisha, Gupta, Suruchi, Garcia, Cristina, Schmidt, Kathleen, Oakes, Diana Johnson, Aleppo, Grazia, Glossop, Valerie, Andrei, Adin-Cristian, Grady, Kathleen L., McGee, Edwin, and Molitch, Mark E.
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- 2014
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81. Effect of a lifestyle intervention on weight change in south Asian individuals in the UK at high risk of type 2 diabetes: a family-cluster randomised controlled trial
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Bhopal, Raj S, Douglas, Anne, Wallia, Sunita, Forbes, John F, Lean, Michael E J, Gill, Jason M R, McKnight, John A, Sattar, Naveed, Sheikh, Aziz, Wild, Sarah H, Tuomilehto, Jaakko, Sharma, Anu, Bhopal, Ruby, Smith, Joel B E, Butcher, Isabella, and Murray, Gordon D
- Published
- 2014
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82. Development of a Predictive Model for Hyperglycemia in Nondiabetic Recipients After Liver Transplantation
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Zelada, Henry, VanWagner, Lisa B., Pollack, Teresa, Higginbotham, Devan, Zhao, Lihui, Yang, Amy, Molitch, Mark E., and Wallia, Amisha
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- 2018
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83. Culturally adapting the prevention of diabetes and obesity in South Asians (PODOSA) trial
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WALLIA, S., BHOPAL, R. S., DOUGLAS, A., BHOPAL, R., SHARMA, A., HUTCHISON, A., MURRAY, G., GILL, J., SATTAR, N., LAWTON, J., TUOMILEHTO, J., MCKNIGHT, J., FORBES, J., LEAN, M., and SHEIKH, A.
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- 2014
84. Serum urate and cardiovascular events in the DCCT/EDIC study
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Amisha Wallia, Samuel Dagogo-Jack, Ionut Bebu, Trevor J. Orchard, Barbara H. Braffett, Timothy J. Lyons, Alicia J. Jenkins, Arpita Basu, W. Timothy Garvey, Maria F. Lopes-Virella, and John M. Lachin
- Subjects
Adult ,Male ,medicine.medical_specialty ,Science ,030209 endocrinology & metabolism ,Type 2 diabetes ,030204 cardiovascular system & hematology ,Article ,03 medical and health sciences ,Endocrinology ,0302 clinical medicine ,Internal medicine ,Diabetes mellitus ,Epidemiology ,medicine ,Humans ,Hyperuricemia ,cardiovascular diseases ,Metabolic Syndrome ,Type 1 diabetes ,Multidisciplinary ,business.industry ,Middle Aged ,medicine.disease ,Uric Acid ,Diabetes Mellitus, Type 1 ,Risk factors ,Cardiovascular Diseases ,Heart Disease Risk Factors ,Cohort ,Medicine ,Female ,Metabolic syndrome ,business ,Mace - Abstract
In type 2 diabetes, hyperuricemia is associated with cardiovascular disease (CVD) and the metabolic syndrome (MetS), but associations in type 1 diabetes (T1D) have not been well-defined. This study examined the relationships between serum urate (SU) concentrations, clinical and biochemical factors, and subsequent cardiovascular events in a well-characterized cohort of adults with T1D. In 973 participants with T1D in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study (DCCT/EDIC), associations were defined between SU, measured once in blood collected 1997–2000, and (a) concurrent MetS and (b) incident ‘any CVD’ and major adverse cardiovascular events (MACE) through 2013. SU was higher in men than women [mean (SD): 4.47 (0.99) vs. 3.39 (0.97) mg/dl, respectively, p Trial registration clinicaltrials.gov NCT00360815 and NCT00360893.
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- 2021
85. To Correct or Not to Correct: Lost in Inpatient Translation
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Amisha Wallia and Jane Jeffrie Seley
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Advanced and Specialized Nursing ,Endocrinology, Diabetes and Metabolism ,Internal Medicine - Published
- 2022
86. Retinopathy During the First 5 Years of Type 1 Diabetes and Subsequent Risk of Advanced Retinopathy
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John I, Malone, Xiaoyu, Gao, Gayle M, Lorenzi, Philip, Raskin, Neil H, White, Dean P, Hainsworth, Arup, Das, William, Tamborlane, Amisha, Wallia, Lloyd P, Aiello, and Ionut, Bebu
- Abstract
To determine whether individuals with type 1 diabetes (T1D) who develop any retinopathy at any time prior to 5 years of diabetes duration have an increased subsequent risk for further progression of retinopathy or onset of proliferative diabetic retinopathy (PDR), clinically significant macular edema (CSME), diabetes-related retinal photocoagulation, or anti-vascular endothelial growth factor injections. Additionally, to determine the influence of HbA1c and other risk factors in these individuals.Diabetic retinopathy (DR) was assessed longitudinally using standardized stereoscopic seven-field fundus photography at time intervals of 6 months to 4 years. Early-onset DR (EDR) was defined as onset prior to 5 years of T1D duration. Cox models assessed the associations of EDR with subsequent risk of outcomes.In unadjusted models, individuals with EDR (n = 484) had an increased subsequent risk of PDR (hazard ratio [HR] 1.51 [95% CI 1.12, 2.02], P = 0.006), CSME (HR 1.44 [1.10, 1.88], P = 0.008), and diabetes-related retinal photocoagulation (HR 1.48 [1.12, 1.96], P = 0.006) compared with individuals without EDR (n = 369). These associations remained significant when adjusted for HbA1c, but only the association with PDR remained significant after adjustment for age, duration of T1D, HbA1c, sex, systolic/diastolic blood pressure, pulse, use of ACE inhibitors, albumin excretion rate, and estimated glomerular filtration rate (HR 1.47 [95% CI 1.04, 2.06], P = 0.028).These data suggest that individuals with any sign of retinopathy within the first 5 years of T1D onset may be at higher risk of long-term development of advanced DR, especially PDR. Identification of early-onset DR may influence prognosis and help guide therapeutic management to reduce the risk of future visual loss in these individuals.
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- 2022
87. Baseline risk markers and visit-to-visit variability in relation to kidney outcomes - A post-hoc analysis of the PERL study
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Viktor Rotbain Curovic, Neil Roy, Tine W. Hansen, M. Luiza Caramori, David Z. Cherney, Ian H. De Boer, Mary Ann Emanuele, Irl B. Hirsch, Ildiko Lingvay, Janet B. Mcgill, Sarit Polsky, Rodica Pop-Busui, Ronald J. Sigal, Katherine R. Tuttle, Guillermo E. Umpierrez, Amisha Wallia, Sylvia E. Rosas, and Peter Rossing
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Endocrinology ,Diabetes Mellitus, Type 1 ,Endocrinology, Diabetes and Metabolism ,Creatinine ,Iohexol ,Internal Medicine ,Humans ,Albuminuria ,General Medicine ,Kidney ,Glomerular Filtration Rate ,Uric Acid - Abstract
Baseline risk variables and visit-to-visit variability (VV) of systolic blood pressure (SBP), HbAPost-hoc analysis of a double-blind randomized placebo-controlled clinical trial investigating allopurinol's effect on iohexol-derived glomerular filtration rate (iGFR) in type 1 diabetes with elevated UA. Primary outcome was iGFR change over three years. Linear regression with backwards selection of baseline clinical variables was performed to identify an optimized model forecasting iGFR change. Furthermore, VVs of SBP, HbA404 participants were included in the primary analyses. In the optimized baseline variable model, higher HbAWe identified several risk markers for faster iGFR decline in a high-risk population with type 1 diabetes. While further research is needed, our results indicate possible new and clinically feasible measures to risk stratify for DKD in type 1 diabetes.
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- 2022
88. Febrile illness in high-risk children: a prospective, international observational study
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van der Velden, Fabian J. S., de Vries, Gabriella, Martin, Alexander, Lim, Emma, von Both, Ulrich, Kolberg, Laura, Carrol, Enitan D., Khanijau, Aakash, Herberg, Jethro A., De, Tisham, Galassini, Rachel, Kuijpers, Taco W., Martinón-Torres, Federico, Rivero-Calle, Irene, Vermont, Clementien L., Hagedoorn, Nienke N., Pokorn, Marko, Pollard, Andrew J., Schlapbach, Luregn J., Tsolia, Maria, Elefhteriou, Irini, Yeung, Shunmay, Zavadska, Dace, Fink, Colin, Voice, Marie, Zenz, Werner, Kohlmaier, Benno, Agyeman, Philipp K. A., Usuf, Effua, Secka, Fatou, de Groot, Ronald, Levin, Michael, van der Flier, Michiel, Emonts, Marieke, Cunnington, Aubrey, Herberg, Jethro, Kaforou, Myrsini, Wright, Victoria, Baumard, Lucas, Bellos, Evangelos, D’Souza, Giselle, Habgood-Coote, Dominic, Hamilton, Shea, Hoggart, Clive, Hourmat, Sara, Jackson, Heather, Maconochie, Ian, Menikou, Stephanie, Lin, Naomi, Nichols, Samuel, Nijman, Ruud, Powell, Oliver, Pena Paz, Ivonne, Shah, Priyen, Shen, Ching-Fen, Vito, Ortensia, Wilson, Clare, Abdulla, Amina, Ali, Ladan, Darnell, Sarah, Jorgensen, Rikke, Mustafa, Sobia, Persand, Salina, Stevens, Molly M., Kim, Nayoung, Kim, Eunjung, Fidler, Katy, Dudley, Julia, Richmond, Vivien, Tavliavini, Emma, Liu, Ching-Chuan, Wang, Shih-Min, Salas, Antonio, Álvez González, Fernando, Balo Farto, Cristina, Barral-Arca, Ruth, Barreiro Castro, María, Bello, Xabier, García, Mirian Ben, Carnota, Sandra, Cebey-López, Miriam, Curras-Tuala, María José, Durán Suárez, Carlos, García Vicente, Luisa, Gómez-Carballa, Alberto, Gómez Rial, Jose, Leboráns Iglesias, Pilar, Martinón-Torres, Nazareth, Martinón Sánchez, José María, Mosquera Pérez, Belén, Pardo-Seco, Jacobo, Rodríguez, Lidia Piñeiro, Pischedda, Sara, Vázquez, Sara Rey, Rivero Calle, Irene, Rodríguez-Tenreiro, Carmen, Redondo-Collazo, Lorenzo, Sadiki Ora, Miguel, Serén Fernández, Sonia, Serén Trasorras, Cristina, Vilas Iglesias, Marisol, Balode, Anda, Bārzdiņa, Arta, Deksne, Dārta, Gardovska, Dace, Grāvele, Dagne, Grope, Ilze, Meiere, Anija, Nokalna, Ieva, Pavāre, Jana, Pučuka, Zanda, Selecka, Katrīna, Rudzāte, Aleksandra, Svile, Dace, Urbāne, Urzula Nora, Bojang, Kalifa, Zaman, Syed M. A., Anderson, Suzanne, RocaIsatou Sarr, Anna, Saidykhan, Momodou, Darboe, Saffiatou, Ceesay, Samba, D’alessandro, Umberto, Moll, Henriëtte A., Vermont, Clementien L, Borensztajn, Dorine M., Tan, Chantal, Zachariasse, Joany, Dik, W, Agyeman, Philipp KA, Berger, Christoph, Giannoni, Eric, Stocker, Martin, Posfay-Barbe, Klara M, Heininger, Ulrich, Bernhard-Stirnemann, Sara, Niederer-Loher, Anita, Kahlert, Christian R., Natalucci, Giancarlo, Relly, Christa, Riedel, Thomas, Aebi, Christoph, Schlapbach, Luregn J, Carrol, Enitan D, Cocklin, Elizabeth, Jennings, Rebecca, Johnston, Joanne, Leigh, Simon, Lewis-Burke, Nadia, Newall, Karen, Romaine, Sam, Eleftheriou, Irini, Tambouratzi, Maria, Marmarinos, Antonis, Xagorari, Marietta, Syggelou, Kelly, Calvo-Bado, Leo, Schweintzger, Nina A., Sagmeister, Manfred G., Kohlfürst, Daniela S., Zurl, Christoph, Binder, Alexander, Hösele, Susanne, Leitner, Manuel, Pölz, Lena, Rajic, Glorija, Bauchinger, Sebastian, Baumgart, Hinrich, Benesch, Martin, Ceolotto, Astrid, Eber, Ernst, Gallistl, Siegfried, Gores, Gunther, Haidl, Harald, Hauer, Almuthe, Hude, Christa, Keldorfer, Markus, Krenn, Larissa, Pilch, Heidemarie, Pfleger, Andreas, Pfurtscheller, Klaus, Nordberg, Gudrun, Niedrist, Tobias, Rödl, Siegfried, Skrabl-Baumgartner, Andrea, Sperl, Matthias, Stampfer, Laura, Strenger, Volker, Till, Holger, Trobisch, Andreas, Löffler, Sabine, Dewez, Juan Emmanuel, Hibberd, Martin, Bath, David, Miners, Alec, Fitchett, Elizabeth, de Jonge, Marien I., van Aerde, Koen, Alkema, Wynand, van den Broek, Bryan, Gloerich, Jolein, van Gool, Alain J., Henriet, Stefanie, Huijnen, Martijn, Philipsen, Ria, Willems, Esther, Gerrits, G.P.J.M., van Leur, M., Heidema, J., de Haan, L., Miedema, C.J., Neeleman, C., Obihara, C.C., Tramper-Stranders, G.A., Kandasamy, Rama, Paulus, Stéphane, Carter, Michael J., O’Connor, Daniel, Bibi, Sagida, Kelly, Dominic F., Gurung, Meeru, Thorson, Stephen, Ansari, Imran, Murdoch, David R., Shrestha, Shrijana, Oliver, Zoe, Valentine, Lucille, Allen, Karen, Bell, Kathryn, Chan, Adora, Crulley, Stephen, Devine, Kirsty, Fabian, Daniel, King, Sharon, McAlinden, Paul, McDonald, Sam, McDonnell, Anne, Pickering, Ailsa, Thomson, Evelyn, Wood, Amanda, Wallia, Diane, Woodsford, Phil, Baxter, Frances, Bell, Ashley, Rhodes, Mathew, Agbeko, Rachel, Mackerness, Christine, Baas, Bryan, Kloosterhuis, Lieke, Oosthoek, Wilma, Arif, Tasnim, Bennet, Joshua, Collings, Kalvin, van der Giessen, Ilona, Martin, Alex, Rashid, Aqeela, Rowlands, Emily, van der Velden, Fabian, Soon, Joshua, Martin, Mike, Mistry, Ravi, Zwerenz, Manuela, Buschbeck, Judith, Bidlingmaier, Christoph, Binder, Vera, Danhauser, Katharina, Haas, Nikolaus, Griese, Matthias, Feuchtinger, Tobias, Keil, Julia, Kappler, Matthias, Lurz, Eberhard, Muench, Georg, Reiter, Karl, Schoen, Carola, Mallet, François, Brengel-Pesce, Karen, Pachot, Alexandre, Mommert, Marine, Kolnik, Mojca, Vincek, Katarina, Srovin, Tina Plankar, Bahovec, Natalija, Prunk, Petra, Osterman, Veronika, Avramoska, Tanja, Kuijpers, Taco, Jongerius, Ilse, van den Berg, J. M., Schonenberg, D., Barendregt, A. M., Pajkrt, D., van der Kuip, M., van Furth, A. M., Sprenkeler, Evelien, Zandstra, Judith, van Mierlo, G., Geissler, J., consortium, PERFORM, Paediatric Infectious Diseases / Rheumatology / Immunology, AII - Infectious diseases, ARD - Amsterdam Reproduction and Development, and Pediatrics
- Subjects
All institutes and research themes of the Radboud University Medical Center ,Fever ,SDG 3 - Good Health and Well-being ,Antibiotics ,Paediatric ,Pediatrics, Perinatology and Child Health ,Vascular damage Radboud Institute for Health Sciences [Radboudumc 16] ,lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4] ,610 Medicine & health ,Infection ,610 Medizin und Gesundheit ,Immunocompromised - Abstract
To assess and describe the aetiology and management of febrile illness in children with primary or acquired immunodeficiency at high risk of serious bacterial infection, as seen in emergency departments in tertiary hospitals. Prospective data on demographics, presenting features, investigations, microbiology, management, and outcome of patients within the ‘Biomarker Validation in HR patients’ database in PERFORM, were analysed. Immunocompromised children (N = 492); 94.3% proven/presumed bacterial (N = 164), 66.1% proven/presumed viral (N = 84), and 93.2% unknown bacterial or viral infections (N = 177). Mortality was 1.9% (N = 11) and 87.1% made full recovery (N = 522). Conclusion: The aetiology of febrile illness in immunocompromised children is diverse. In one-third of cases, no cause for the fever will be identified. Justification for standard intravenous antibiotic treatment for every febrile immunocompromised child is debatable, yet effective. Better clinical decision-making tools and new biomarkers are needed for this population. What is Known:• Immunosuppressed children are at high risk for morbidity and mortality of serious bacterial and viral infection, but often present with fever as only clinical symptom.• Current diagnostic measures in this group are not specific to rule out bacterial infection, and positivity rates of microbiological cultures are low. What is New:• Febrile illness and infectious complications remain a significant cause of mortality and morbidity in HR children, yet management is effective.• The aetiology of febrile illness in immunocompromised children is diverse, and development of pathways for early discharge or cessation of intravenous antibiotics is debatable, and requires better clinical decision-making tools and biomarkers.
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- 2022
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89. Associations between weight change and biomarkers of cardiometabolic risk in South Asians: secondary analyses of the PODOSA trial
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Welsh, P, Cezard, G, Gill, J M, Wallia, S, Douglas, A, Sheikh, A, Wild, S H, Tuomilehto, J, McKnight, J, Murray, G, Bhopal, R, Lean, M E, and Sattar, N
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- 2016
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90. Hyperglycemia and Diabetes Mellitus Following Organ Transplantation
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Galindo, Rodolfo J. and Wallia, Amisha
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- 2016
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91. Glycemic Outcomes of Second-Line Diabetes Drug Choice in a Real-World Population
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Andrew Cooper, David T. Liss, Amy Gilmer, Raymond Kang, Amisha Wallia, Matthew J. O’Brien, and Ronald T. Ackermann
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Medicine (General) ,medicine.medical_specialty ,medicine.drug_class ,IRR, incidence rate ratio ,Case Report ,030204 cardiovascular system & hematology ,Hypoglycemia ,Rate ratio ,03 medical and health sciences ,R5-920 ,0302 clinical medicine ,Internal medicine ,Diabetes mellitus ,DM, diabetes mellitus ,medicine ,030212 general & internal medicine ,GLP-1, glucagon-like peptide 1 ,Glycemic ,AMC, acute metabolic complication ,ICD-9, International Classification of Diseases, Ninth Revision ,business.industry ,SGLT-2, sodium-glucose contransporter 2 ,Type 2 Diabetes Mellitus ,medicine.disease ,Sulfonylurea ,Ketoacidosis ,Metformin ,SFU, sulfonylurea ,DPP-4, dipeptidyl peptidase 4 ,TZD, thiazolidinedione ,business ,medicine.drug - Abstract
Hypoglycemia and acute metabolic complications (AMCs; ketoacidosis, hyperosmolarity, and coma) are glycemic outcomes that have high cost and high morbidity; these outcomes must be taken into consideration when choosing initial second-line therapy after metformin. We conducted a retrospective cohort study analyzing national administrative data from adults with type 2 diabetes mellitus who started a second-line diabetes medication (sulfonylureas [SFUs], thiazolidinediones [TZDs], glucagon-like peptide 1 [GLP-1] agonists, dipeptidyl peptidase 4 [DPP-4] inhibitors, basal insulin, or sodium-glucose contransporter 2 [SGLT-2] inhibitors) between April 1, 2011 and September 30, 2015 (N=43,288) and compared rates of hypoglycemia and AMCs. Most patients (24,506 [56.6%]) were prescribed sulfonylurea as second-line treatment, followed by DPP-4 inhibitors (7953 [18.4%]), GLP-1 agonists (3854 [8.9%]), basal insulin (2542 [5.9%]), SGLT-2 inhibitors (2537 [5.9%), and TZDs (1896 [4.4%]). Baseline rates of hypoglycemia varied more than 5-fold across initial second-line antidiabetic medication classes, and rates of AMCs varied 7-fold. Compared with patients taking an SFU, lower adjusted rates of hypoglycemia were associated with taking a DPP-4 inhibitor (63% lower rate; incidence rate ratio [IRR], 0.37; 95% CI, 0.25 to 0.57), SGLT-2 inhibitor (54% lower; IRR, 0.46; 95% CI, 0.22 to 0.94), or TZD (79% lower; IRR, 0.21; 95% CI, 0.08 to 0.56) but not a glucagon-like peptide 1 agonist or basal insulin. For AMCs, only initiation of a DPP-4 inhibitor (43% lower rate; IRR, 0.57; 95% CI, 0.41 to 0.81) was associated with a lower adjusted rate compared with SFU. Use of SGLT-2 inhibitors was not associated with a substantially increased rate of acute metabolic complications compared with SFU. Special attention still needs to be paid to glycemic outcomes when choosing a second-line diabetes therapy following metformin.
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- 2021
92. To Correct or Not to Correct: Lost in Inpatient Translation
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Wallia, Amisha, primary and Seley, Jane Jeffrie, additional
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- 2022
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- View/download PDF
93. Hospital Diabetes Meeting 2022
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Huang, Jingtong, primary, Yeung, Andrea M., additional, Nguyen, Kevin T., additional, Xu, Nicole Y., additional, Preiser, Jean-Charles, additional, Rushakoff, Robert J., additional, Seley, Jane Jeffrie, additional, Umpierrez, Guillermo E., additional, Wallia, Amisha, additional, Drincic, Andjela T., additional, Gianchandani, Roma, additional, Lansang, M. Cecilia, additional, Masharani, Umesh, additional, Mathioudakis, Nestoras, additional, Pasquel, Francisco J., additional, Schmidt, Signe, additional, Shah, Viral N., additional, Spanakis, Elias K., additional, Stuhr, Andreas, additional, Treiber, Gerlies M., additional, and Klonoff, David C., additional
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- 2022
- Full Text
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94. Impact of the Early Phase of the COVID-19 Pandemic on US Healthcare Workers: Results from the HERO Registry
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Cynthia H. Chuang, Timothy S. Carey, James C. McClay, Jonathan Todd, Elizabeth Nauman, Nancy M. Daraiseh, Adrian F. Hernandez, Laura E. Webb, Laine Thomas, Cortney Bruno, François Modave, Haolin Xu, Christopher B. Forrest, Amisha Wallia, Lauren W. Cohen, Emily C. O'Brien, and Rainu Kaushal
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Adult ,Male ,medicine.medical_specialty ,Cross-sectional study ,Health Personnel ,Population ,Ethnic group ,Burnout ,registry ,01 natural sciences ,03 medical and health sciences ,0302 clinical medicine ,healthcare worker ,well-being ,Pandemic ,Health care ,Internal Medicine ,Medicine ,Outpatient clinic ,Humans ,030212 general & internal medicine ,Registries ,0101 mathematics ,education ,Pandemics ,Original Research ,disparities ,education.field_of_study ,burnout ,business.industry ,SARS-CoV-2 ,010102 general mathematics ,COVID-19 ,Distress ,Cross-Sectional Studies ,Family medicine ,Female ,business - Abstract
Background The HERO registry was established to support research on the impact of the COVID-19 pandemic on US healthcare workers. Objective Describe the COVID-19 pandemic experiences of and effects on individuals participating in the HERO registry. Design Cross-sectional, self-administered registry enrollment survey conducted from April 10 to July 31, 2020. Setting Participants worked in hospitals (74.4%), outpatient clinics (7.4%), and other settings (18.2%) located throughout the nation. Participants A total of 14,600 healthcare workers. Main Measures COVID-19 exposure, viral and antibody testing, diagnosis of COVID-19, job burnout, and physical and emotional distress. Key Results Mean age was 42.0 years, 76.4% were female, 78.9% were White, 33.2% were nurses, 18.4% were physicians, and 30.3% worked in settings at high risk for COVID-19 exposure (e.g., ICUs, EDs, COVID-19 units). Overall, 43.7% reported a COVID-19 exposure and 91.3% were exposed at work. Just 3.8% in both high- and low-risk settings experienced COVID-19 illness. In regression analyses controlling for demographics, professional role, and work setting, the risk of COVID-19 illness was higher for Black/African-Americans (aOR 2.32, 99% CI 1.45, 3.70, p < 0.01) and Hispanic/Latinos (aOR 2.19, 99% CI 1.55, 3.08, p < 0.01) compared with Whites. Overall, 41% responded that they were experiencing job burnout. Responding about the day before they completed the survey, 53% of participants reported feeling tired a lot of the day, 51% stress, 41% trouble sleeping, 38% worry, 21% sadness, 19% physical pain, and 15% anger. On average, healthcare workers reported experiencing 2.4 of these 7 distress feelings a lot of the day. Conclusions Healthcare workers are at high risk for COVID-19 exposure, but rates of COVID-19 illness were low. The greater risk of COVID-19 infection among race/ethnicity minorities reported in the general population is also seen in healthcare workers. The HERO registry will continue to monitor changes in healthcare worker well-being during the pandemic. Trial Registration ClinicalTrials.gov identifier NCT04342806 Supplementary Information The online version contains supplementary material available at 10.1007/s11606-020-06529-z.
- Published
- 2021
95. Hepatic Fat in Participants With and Without Incident Diabetes in the Diabetes Prevention Program Outcome Study
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Ronald B Goldberg, Mark T Tripputi, Edward J Boyko, Matthew Budoff, Zsu-Zsu Chen, Jeanne M Clark, Dana M Dabelea, Sharon L Edelstein, Robert E Gerszten, Edward Horton, Kieren J Mather, Leigh Perreault, Marinella Temprosa, Amisha Wallia, Karol Watson, and Zeb Irfan
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medicine.medical_specialty ,diabetes development ,lifestyle ,Endocrinology, Diabetes and Metabolism ,Clinical Biochemistry ,Population ,Biochemistry ,Gastroenterology ,prediction and prevention of type 2 diabetes ,chemistry.chemical_compound ,Endocrinology ,Insulin resistance ,Internal medicine ,Diabetes mellitus ,medicine ,Prediabetes ,education ,Online Only Articles ,Clinical Research Articles ,education.field_of_study ,weight regulation and obesity ,Triglyceride ,business.industry ,Biochemistry (medical) ,Fatty liver ,imaging ,medicine.disease ,hepatic fat ,Metformin ,Lipid metabolism ,chemistry ,Steatosis ,business ,metformin ,AcademicSubjects/MED00250 ,medicine.drug - Abstract
Context There is little information about fatty liver in prediabetes as it transitions to early diabetes. Objective This study is aimed at evaluating the prevalence and determinants of fatty liver in the Diabetes Prevention Program (DPP). Methods We measured liver fat as liver attenuation (LA) in Hounsfield units (HU) in 1876 participants at ~14 years following randomization into the DPP, which tested the effects of lifestyle or metformin interventions versus standard care to prevent diabetes. LA was compared among intervention groups and in those with versus without diabetes, and associations with baseline and follow-up measurements of anthropometric and metabolic covariates were assessed. Results There were no differences in liver fat between treatment groups at 14 years of follow-up. Participants with diabetes had lower LA (mean ± SD: 46 ± 16 vs 51 ± 14 HU; P < 0.001) and a greater prevalence of fatty liver (LA < 40 HU) (34% vs 17%; P < 0.001). Severity of metabolic abnormalities at the time of LA evaluation was associated with lower LA categories in a graded manner and more strongly in those with diabetes. Averaged annual fasting insulin (an index of insulin resistance [OR, 95% CI 1.76, 1.41-2.20]) waist circumference (1.63, 1.17-2.26), and triglyceride (1.42, 1.13-1.78), but not glucose, were independently associated with LA < 40 HU prevalence. Conclusion Fatty liver is common in the early phases of diabetes development. The association of LA with insulin resistance, waist circumference, and triglyceride levels emphasizes the importance of these markers for hepatic steatosis in this population and that assessment of hepatic fat in early diabetes development is warranted.
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- 2021
96. Empowering Healthcare Workers on Social Media to Bolster Trust in Science and Vaccination During the Pandemic: Making IMPACT Using a Place-Based Approach (Preprint)
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Shikha Jain, Serena R Dhaon, Shivani Majmudar, Laura Zimmermann, Lisa Mordell, Garth Walker, Amisha Wallia, Halleh Akbarnia, Ali Khan, Eve Bloomgarden, and Vineet M Arora
- Abstract
BACKGROUND Given widespread and concerted efforts to propagate health misinformation on social media, particularly centered around vaccination during the pandemic, many groups of clinicians and scientists organized on social media to tackle misinformation and promote vaccination using a national or international lens. While documenting the impact of such social media efforts, particularly at the community level, can be challenging, a more hyperlocal or “place-based approach” for social media campaigns could be effective at tackling misinformation and improving public health outcomes on a community level. OBJECTIVE To describe and document the effectiveness of a place-based strategy for a coordinated group of healthcare workers on social media from Chicago to tackle misinformation and improve vaccination rates in their own communities. METHODS The Illinois Medical Professionals Action Collaborative Team (IMPACT) was founded in March 2020 in response to the COVID-19 pandemic with representatives from major academic teaching hospitals in Chicago (University of Chicago, Northwestern University, University of Illinois, Rush University) and community-based organizations. Through crowdsourcing on multiple social media platforms (Facebook, Twitter, Instagram) with a place-based approach, IMPACT engaged grassroots networks of thousands of Illinois healthcare workers and the public to identify gaps, needs, and viewpoints to improve local healthcare delivery during the pandemic. RESULTS To address vaccine misinformation, IMPACT created 8 “myth debunking” infographics and 14 informational vaccine infographics that have generated >340K impressions and informed the development of vaccine education for the Chicago Public Libraries. IMPACT delivered 13 policy letters focusing on different topics (i.e. healthcare worker personal protective equipment, universal masking, vaccination) with >4000 healthcare workers (HCWs) signatures collected through social media to policymakers, published over 50 op-eds on COVID-19 topics in high impact news outlets, and contributed to >200 local and national news features. Using the crowdsourcing approach on IMPACT social media channels, IMPACT mobilized healthcare and lay volunteers to staff over 400 vaccine events for over 120,000 individuals, many in Chicago’s hardest-hit neighborhoods. The group’s recommendations have influenced public health awareness campaigns and initiatives, research, advocacy, and policy recommendations, and have been recognized with local and national awards. CONCLUSIONS A coordinated group of healthcare workers on social media using a hyperlocal place-based approach can not only work together to address misinformation but can also collaborate to boost vaccination rates in their surrounding communities.
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- 2022
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97. Baseline risk markers and visit-to-visit variability in relation to kidney outcomes - A post-hoc analysis of the PERL study
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Curovic, Viktor Rotbain, Roy, Neil, Hansen, Tine W., Caramori, M. Luiza, Cherney, David Z., Boer, Ian H. De, Emanuele, Mary Ann, Hirsch, Irl B., Lingvay, Ildiko, Mcgill, Janet B., Polsky, Sarit, Pop-Busui, Rodica, Sigal, Ronald J., Tuttle, Katherine R., Umpierrez, Guillermo E., Wallia, Amisha, Rosas, Sylvia E., Rossing, Peter, Curovic, Viktor Rotbain, Roy, Neil, Hansen, Tine W., Caramori, M. Luiza, Cherney, David Z., Boer, Ian H. De, Emanuele, Mary Ann, Hirsch, Irl B., Lingvay, Ildiko, Mcgill, Janet B., Polsky, Sarit, Pop-Busui, Rodica, Sigal, Ronald J., Tuttle, Katherine R., Umpierrez, Guillermo E., Wallia, Amisha, Rosas, Sylvia E., and Rossing, Peter
- Abstract
Background: Baseline risk variables and visit-to-visit variability (VV) of systolic blood pressure (SBP), HbA1c, serum creatinine, and uric acid (UA) are potential risk markers of kidney function decline in type 1 diabetes. Methods: Post-hoc analysis of a double-blind randomized placebo-controlled clinical trial investigating allopu-rinol's effect on iohexol-derived glomerular filtration rate (iGFR) in type 1 diabetes with elevated UA. Primary outcome was iGFR change over three years. Linear regression with backwards selection of baseline clinical variables was performed to identify an optimized model forecasting iGFR change. Furthermore, VVs of SBP, HbA1c, serum creatinine, and UA were calculated using measurements from the run-in period; thereafter assessed by linear regression, with iGFR change as the dependent variable. Results: 404 participants were included in the primary analyses. In the optimized baseline variable model, higher HbA1c, SBP, iGFR, albuminuria, and heart rate, and mineralocorticoid receptor antagonist prescription were associated with greater iGFR decline. Higher VV of SBP was associated with greater iGFR decline (adjusted beta (ml/ min/1.73 m2/50 % increase):-0.79, p = 0.01). Conclusions: We identified several risk markers for faster iGFR decline in a high-risk population with type diabetes. While further research is needed, our results indicate possible new and clinically feasible measures to risk stratify for DKD in type 1 diabetes.
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- 2022
98. Glycemic Control Reduces Infections in Post–Liver Transplant Patients: Results of a Prospective, Randomized Study
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Wallia, Amisha, Schmidt, Kathleen, Oakes, Diana Johnson, Pollack, Teresa, Welsh, Nicholas, Kling-Colson, Susan, Gupta, Suruchi, Fulkerson, Candice, Aleppo, Grazia, Parikh, Neehar, Levitsky, Josh, Norvell, J. P., Rademaker, Alfred, and Molitch, Mark E.
- Published
- 2017
99. Retinopathy During the First 5 Years of Type 1 Diabetes and Subsequent Risk of Advanced Retinopathy.
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Malone, John I., Gao, Xiaoyu, Lorenzi, Gayle M., Raskin, Philip, White, Neil H., Hainsworth, Dean P., Das, Arup, Tamborlane, William, Wallia, Amisha, Aiello, Lloyd P., and Bebu, Ionut
- Subjects
DIABETIC retinopathy ,TYPE 1 diabetes ,ENDOTHELIAL growth factors ,DIASTOLIC blood pressure ,GLOMERULAR filtration rate ,MACULAR edema - Abstract
OBJECTIVE: To determine whether individuals with type 1 diabetes (T1D) who develop any retinopathy at any time prior to 5 years of diabetes duration have an increased subsequent risk for further progression of retinopathy or onset of proliferative diabetic retinopathy (PDR), clinically significant macular edema (CSME), diabetes-related retinal photocoagulation, or anti-vascular endothelial growth factor injections. Additionally, to determine the influence of HbA
1c and other risk factors in these individuals. RESEARCH DESIGN AND METHODS: Diabetic retinopathy (DR) was assessed longitudinally using standardized stereoscopic seven-field fundus photography at time intervals of 6 months to 4 years. Early-onset DR (EDR) was defined as onset prior to 5 years of T1D duration. Cox models assessed the associations of EDR with subsequent risk of outcomes. RESULTS: In unadjusted models, individuals with EDR (n = 484) had an increased subsequent risk of PDR (hazard ratio [HR] 1.51 [95% CI 1.12, 2.02], P = 0.006), CSME (HR 1.44 [1.10, 1.88], P = 0.008), and diabetes-related retinal photocoagulation (HR 1.48 [1.12, 1.96], P = 0.006) compared with individuals without EDR (n = 369). These associations remained significant when adjusted for HbA1c , but only the association with PDR remained significant after adjustment for age, duration of T1D, HbA1c , sex, systolic/diastolic blood pressure, pulse, use of ACE inhibitors, albumin excretion rate, and estimated glomerular filtration rate (HR 1.47 [95% CI 1.04, 2.06], P = 0.028). CONCLUSIONS: These data suggest that individuals with any sign of retinopathy within the first 5 years of T1D onset may be at higher risk of long-term development of advanced DR, especially PDR. Identification of early-onset DR may influence prognosis and help guide therapeutic management to reduce the risk of future visual loss in these individuals. [ABSTRACT FROM AUTHOR]- Published
- 2023
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100. Empowering Healthcare Workers on Social Media to Bolster Trust in Science and Vaccination During the Pandemic: Making IMPACT Using a Place-Based Approach (Preprint)
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Jain, Shikha, primary, Dhaon, Serena R, additional, Majmudar, Shivani, additional, Zimmermann, Laura, additional, Mordell, Lisa, additional, Walker, Garth, additional, Wallia, Amisha, additional, Akbarnia, Halleh, additional, Khan, Ali, additional, Bloomgarden, Eve, additional, and Arora, Vineet M, additional
- Published
- 2022
- Full Text
- View/download PDF
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