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1. Mass cytometry reveals a conserved immune trajectory of recovery in hospitalized COVID-19 patients

Author

Burnett, Cassandra E, Okholm, Trine Line Hauge, Tenvooren, Iliana, Marquez, Diana M, Tamaki, Stanley, Sandoval, Priscila Munoz, Willmore, Andrew, Consortium, The UCSF COMET, Patel, Ravi, Abe-Jones, Yumiko, Asthana, Saurabh, Beagle, Alexander, Bhide, Sharvari, Cai, Cathy, Calvo, Maria, Carrillo, Sidney A, Chak, Suzanna, Collins, Zachary, Darmanis, Spyros, Fragiadakis, Gabriela K, Ghale, Rajani, Giberson, Jeremy, Glenn, Pat, Gonzalez, Ana, Hiam-Galvez, Kamir, Jauregui, Alejandra, Ke, Serena, Lea, Tasha, Lee, Deanna, Lota, Raphael, Lupin-Jimenez, Leonard, Nguyen, Viet, Nigam, Nishita, Pierce, Logan, Prasad, Priya, Rao, Arjun, Rashid, Sadeed, Rodriguez, Nicklaus, Samad, Bushra, Shaw, Cole, Sigman, Austin, Sinha, Pratik, Tang, Kevin, Altamirano, Luz Torres, Tumurbaatar, Erden, Upadhyay, Vaibhav, Ward, Alyssa, Wong, Kristine, Ye, Chun Jimmie, Yee, Kimberly, Zhou, Mingyue, Hendrickson, Carolyn M, Kangelaris, Kirsten N, Langelier, Charles R, Krummel, Matthew F, Woodruff, Prescott G, Calfee, Carolyn S, Erle, David J, Ansel, K Mark, and Spitzer, Matthew H

Subjects
Biomedical and Clinical Sciences, Immunology, Pneumonia & Influenza, Pneumonia, Clinical Research, Lung, Infectious Diseases, Hematology, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Good Health and Well Being, COVID-19, Disease Progression, Humans, SARS-CoV-2, UCSF COMET Consortium, disease resolution, immune cell signaling, immune response, recovery
Abstract

While studies have elucidated many pathophysiological elements of COVID-19, little is known about immunological changes during COVID-19 resolution. We analyzed immune cells and phosphorylated signaling states at single-cell resolution from longitudinal blood samples of patients hospitalized with COVID-19, pneumonia and/or sepsis, and healthy individuals by mass cytometry. COVID-19 patients showed distinct immune compositions and an early, coordinated, and elevated immune cell signaling profile associated with early hospital discharge. Intra-patient longitudinal analysis revealed changes in myeloid and T cell frequencies and a reduction in immune cell signaling across cell types that accompanied disease resolution and discharge. These changes, together with increases in regulatory T cells and reduced signaling in basophils, also accompanied recovery from respiratory failure and were associated with better outcomes at time of admission. Therefore, although patients have heterogeneous immunological baselines and highly variable disease courses, a core immunological trajectory exists that defines recovery from severe SARS-CoV-2 infection.

Published
2022

2. I-SPY COVID adaptive platform trial for COVID-19 acute respiratory failure: rationale, design and operations

Author

Files, Daniel Clark, Matthay, Michael A, Calfee, Carolyn S, Aggarwal, Neil R, Asare, Adam L, Beitler, Jeremy R, Berger, Paul A, Burnham, Ellen L, Cimino, George, Coleman, Melissa H, Crippa, Alessio, Discacciati, Andrea, Gandotra, Sheetal, Gibbs, Kevin W, Henderson, Paul T, Ittner, Caroline AG, Jauregui, Alejandra, Khan, Kashif T, Koff, Jonathan L, Lang, Julie, LaRose, Mary, Levitt, Joe, Lu, Ruixiao, McKeehan, Jeffrey D, Meyer, Nuala J, Russell, Derek W, Thomas, Karl W, Eklund, Martin, Esserman, Laura J, Liu, Kathleen D, Mittel, Aaron M, Yen, Albert F, Suarez, Alexis E, Serra, Alexis L, Amin, Alpesh N, Rosen, Amanda, Dzierba, Amy L, Haczku, Angela, Barker, Anna D, Weisman, Ariel R, Daniel, Brian M, Morrissey, Brian M, Jones, Chayse, Creel-Bulos, Christina, Angelucci, Christina M, Files, Daniel C, Ng, Diana, Youssef, Fady A, Chaparro-Rojas, Fredy, Harris, Gavin H, Barot, Harsh V, Su, Heny, Garcia, Ivan, Sutter, Jacqueline B, Dodin, Jamal, Lee, Jerry S, Kazianis, John, Reilly, John P, Detelich, Joshua F, Lang, Julie E, Muir, Justin, Gosek, Katarzyna, Nugent, Katherine L, Yee, Kimberly, Rodrigues, Laura G, Macias, Laura R, Orr, Lindsey A, Boerger, Lindsie L, Rosario-Remigio, Lissette, Kufa, Lucia, Huerta, Luis E, Tanios, Maged, Reyes, Maria B, Adelman, Max W, Juarez, Maya M, Jung, Michelle, Meyers, Michelle, Sternlieb, Mitchell P, Cobb, Nathan K, and Aggarwal, Neil

Subjects
Clinical Research, Clinical Trials and Supportive Activities, Good Health and Well Being, Bayes Theorem, COVID-19, Humans, Pandemics, Respiratory Distress Syndrome, Respiratory Insufficiency, SARS-CoV-2, Treatment Outcome, ISPY COVID Adaptive Platform Trial Network, undefined, adult intensive & critical care, clinical trials, Clinical Sciences, Public Health and Health Services, Other Medical and Health Sciences
Abstract

IntroductionThe COVID-19 pandemic brought an urgent need to discover novel effective therapeutics for patients hospitalised with severe COVID-19. The Investigation of Serial studies to Predict Your Therapeutic Response with Imaging And moLecular Analysis (ISPY COVID-19 trial) was designed and implemented in early 2020 to evaluate investigational agents rapidly and simultaneously on a phase 2 adaptive platform. This manuscript outlines the design, rationale, implementation and challenges of the ISPY COVID-19 trial during the first phase of trial activity from April 2020 until December 2021.Methods and analysisThe ISPY COVID-19 Trial is a multicentre open-label phase 2 platform trial in the USA designed to evaluate therapeutics that may have a large effect on improving outcomes from severe COVID-19. The ISPY COVID-19 Trial network includes academic and community hospitals with significant geographical diversity across the country. Enrolled patients are randomised to receive one of up to four investigational agents or a control and are evaluated for a family of two primary outcomes-time to recovery and mortality. The statistical design uses a Bayesian model with 'stopping' and 'graduation' criteria designed to efficiently discard ineffective therapies and graduate promising agents for definitive efficacy trials. Each investigational agent arm enrols to a maximum of 125 patients per arm and is compared with concurrent controls. As of December 2021, 11 investigational agent arms had been activated, and 8 arms were complete. Enrolment and adaptation of the trial design are ongoing.Ethics and disseminationISPY COVID-19 operates under a central institutional review board via Wake Forest School of Medicine IRB00066805. Data generated from this trial will be reported in peer-reviewed medical journals.Trial registration numberNCT04488081.

Published
2022

3. PrEP Use and Adherence Among Transgender Patients

Author

Downing, Jae, Yee, Kimberly, and Sevelius, Jae M

Subjects
Public Health, Health Sciences, Prevention, Clinical Research, Sexual and Gender Minorities (SGM/LGBT*), HIV/AIDS, Gender Equality, Cross-Sectional Studies, Female, Gender Identity, HIV Infections, Homosexuality, Male, Humans, Infant, Newborn, Male, Pre-Exposure Prophylaxis, Transgender Persons, Transsexualism, Pre-exposure prophylaxis, Transgender, Medicaid, Adherence, Differential misclassification, Public Health and Health Services, Social Work, Public health
Abstract

This cross-sectional study used 2012 to 2019 Oregon Medicaid claims to estimate the prevalence of PrEP use and identify determinants of high adherence across transgender and cisgender men and women. Gender identity (cisgender woman/man; transgender, assigned female sex at birth [AFAB]; transgender, assigned male sex at birth [AMAB]) was based on medical history and enrollment records. Proportion of days covered ≥ 0.80 was considered high adherence to PrEP. The association between gender identity and PrEP uptake or high adherence was estimated using multivariable logistic regression. 1555 PrEP users, including 171 (11.0%) cis women, 1171 (75.3%) cis men, 67 (4.3%) AFAB, and 146 (9.4%) AMAB individuals, were included. The probability of PrEP use per 10,000 people was highest in transgender groups (AMAB 546.8, 95% CI 462.4-631.3; AFAB 226.5, 95% CI 173.4-279.6), followed by cisgender men (20.6, 95% CI 19.4, 21.8) and women (2.6, 95% CI 2.2, 3.0). High adherence was significantly lower in AMAB recipients (72.6%) than cisgender women (86.0%) and cisgender men (82.2%). Among the 279 PrEP users with female on their enrollment record, 76 (27.2%) were AMAB, while among the 1276 PrEP users with male on their enrollment record, 35 (2.7%) were AFAB. This demonstrates the importance of surveillance methods that take gender identity into account in addition to sex assigned at birth. There were significant differences in PrEP use and adherence by gender identity. PrEP surveillance, outreach, and prescribing practices must consider gender identity-unique risk factors.

Published
2022

5. Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19

Author

van der Wijst, Monique GP, Vazquez, Sara E, Hartoularos, George C, Bastard, Paul, Grant, Tianna, Bueno, Raymund, Lee, David S, Greenland, John R, Sun, Yang, Perez, Richard, Ogorodnikov, Anton, Ward, Alyssa, Mann, Sabrina A, Lynch, Kara L, Yun, Cassandra, Havlir, Diane V, Chamie, Gabriel, Marquez, Carina, Greenhouse, Bryan, Lionakis, Michail S, Norris, Philip J, Dumont, Larry J, Kelly, Kathleen, Zhang, Peng, Zhang, Qian, Gervais, Adrian, Le Voyer, Tom, Whatley, Alexander, Si, Yichen, Byrne, Ashley, Combes, Alexis J, Rao, Arjun Arkal, Song, Yun S, Fragiadakis, Gabriela K, Kangelaris, Kirsten, Calfee, Carolyn S, Erle, David J, Hendrickson, Carolyn, Krummel, Matthew F, Woodruff, Prescott G, Langelier, Charles R, Casanova, Jean-Laurent, Derisi, Joseph L, Anderson, Mark S, Ye, Chun Jimmie, consortium, on behalf of the UCSF COMET, Abe-Jones, Yumiko, Alvarenga, Bonny, Asthana, Saurabh, Beagle, Alexander, Bhakta, Tanvi, Bhide, Sharvari, Cai, Cathy, Calvo, Maria, Carrillo, Sidney A, Chak, Suzanna, Collins, Zachary, Dandekar, Ravi, Darmanis, Spyros, Esmaili, Armond, Ghale, Rajani, Giberson, Jeremy, Glenn, Pat, Gonzalez, Ana, Jauregui, Alejandra, Jones, Norman, Ke, Serena, Lea, Tasha, Lee, Deanna, Lelidowicz, Aleskandra, Liu, Kathleen, Lota, Raphael, Matthay, Michael, Milush, Jeff, Nguyen, Viet, Nigam, Nishita, Ortiz, Gabe, Pierce, Logan, Prasad, Priya, Rajan, Jayant, Rashid, Ahmad Sadeed, Rodriguez, Nicklaus, Samad, Bushra, Scarlet, Diane, Shaw, Cole, Sigman, Austin, Sinha, Pratik, Spitzer, Matthew, Tang, Kevin, Altamirano, Luz Torres, Tumurbaatar, Erden, Willmore, Andrew, Wilson, Michael, Withers, Reese, Yee, Kimberly, Zamecnik, Colin, Zhan, Jenny, and Zhou, Mingyue

Subjects
Biomedical and Clinical Sciences, Immunology, Coronaviruses, Clinical Research, Emerging Infectious Diseases, Genetics, Infectious Diseases, Lung, 2.1 Biological and endogenous factors, Inflammatory and immune system, Good Health and Well Being, Autoantibodies, COVID-19, Humans, Interferon Type I, UCSF COMET consortium, Biological Sciences, Medical and Health Sciences, Medical biotechnology, Biomedical engineering
Abstract

Neutralizing autoantibodies against type I interferons (IFNs) have been found in some patients with critical coronavirus disease 2019 (COVID-19), the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the prevalence of these antibodies, their longitudinal dynamics across the disease severity scale, and their functional effects on circulating leukocytes remain unknown. Here, in 284 patients with COVID-19, we found type I IFN–specific autoantibodies in peripheral blood samples from 19% of patients with critical disease and 6% of patients with severe disease. We found no type I IFN autoantibodies in individuals with moderate disease. Longitudinal profiling of over 600,000 peripheral blood mononuclear cells using multiplexed single-cell epitope and transcriptome sequencing from 54 patients with COVID-19 and 26 non–COVID-19 controls revealed a lack of type I IFN–stimulated gene (ISG-I) responses in myeloid cells from patients with critical disease. This was especially evident in dendritic cell populations isolated from patients with critical disease producing type I IFN–specific autoantibodies. Moreover, we found elevated expression of the inhibitory receptor leukocyte-associated immunoglobulin-like receptor 1 (LAIR1) on the surface of monocytes isolated from patients with critical disease early in the disease course. LAIR1 expression is inversely correlated with ISG-I expression response in patients with COVID-19 but is not expressed in healthy controls. The deficient ISG-I response observed in patients with critical COVID-19 with and without type I IFN–specific autoantibodies supports a unifying model for disease pathogenesis involving ISG-I suppression through convergent mechanisms.

Published
2021

6. A myeloid program associated with COVID-19 severity is decreased by therapeutic blockade of IL-6 signaling

Author

Abe-Jones, Yumiko, Adkisson, Michael, Ansel, K. Mark, Asthana, Saurabh, Beagle, Alexander, Bhide, Sharvari, Cai, Cathy, Caldera, Saharai, Calvo, Maria, Carrillo, Sidney A., Chak, Suzanna, Christenson, Stephanie, Collins, Zachary, Darmanis, Spyros, Detweiler, Angela, DeVoe, Catherine, Eckalbar, Walter, Giberson, Jeremy, Gonzalez, Ana, Gordon, Gracie, Serpa, Paula Hayakawa, Jauregui, Alejandra, Jones, Chayse, Ke, Serena, Kushnoor, Divya, Lea, Tasha, Lee, Deanna, Leligdowicz, Aleksandra, Liu, Yale, Mahboob, Salman, Maliskova, Lenka, Matthay, Michael, McCarthy, Elizabeth, Muñoz-Sandoval, Priscila, Neff, Norma, Nguyen, Viet, Nigam, Nishita, Parada, Randy, Phelps, Maira, Pierce, Logan, Prasad, Priya, Rashid, Sadeed, Reeder, Gabriella, Rodriguez, Nicklaus, Samad, Bushra, Schroeder, Andrew, Shaw, Cole, Shen, Alan, Sigman, Austin, Sinha, Pratik, Spitzer, Matthew, Sunshine, Sara, Tang, Kevin, Altamirano, Luz Torres, Tsitsiklis, Alexandra, Tumurbaatar, Erden, Upadhyay, Vaibhav, Whatley, Alexander, Willmore, Andrew, Wilson, Michael, Winkler, Juliane, Wong, Kristine, Yee, Kimberly, Yu, Michelle, Zhou, Mingyue, Zhu, Wandi S., Hackney, Jason A., Shivram, Haridha, Vander Heiden, Jason, Overall, Chris, Orozco, Luz, Gao, Xia, Kim, Eugene, West, Nathan, Qamra, Aditi, Chang, Diana, Chakrabarti, Arindam, Choy, David F., Combes, Alexis J., Courau, Tristan, Fragiadakis, Gabriela K., Rao, Arjun Arkal, Ray, Arja, Tsui, Jessica, Hu, Kenneth, Kuhn, Nicholas F., Krummel, Matthew F., Erle, David J., Kangelaris, Kirsten, Sarma, Aartik, Lyon, Zoe, Calfee, Carolyn S., Woodruff, Prescott G., Ghale, Rajani, Mick, Eran, Byrne, Ashley, Zha, Beth Shoshana, Langelier, Charles, Hendrickson, Carolyn M., van der Wijst, Monique G.P., Hartoularos, George C., Grant, Tianna, Bueno, Raymund, Lee, David S., Greenland, John R., Sun, Yang, Perez, Richard, Ogorodnikov, Anton, Ward, Alyssa, Ye, Chun Jimmie, Ramalingam, Thiru, McBride, Jacqueline M., Cai, Fang, Teterina, Anastasia, Bao, Min, Tsai, Larry, Rosas, Ivan O., Regev, Aviv, Kapadia, Sharookh B., Bauer, Rebecca N., and Rosenberger, Carrie M.

Published
2023
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7. Do Students Overestimate Their Contribution to Class? Congruence of Student and Professor Ratings of Class Participation

Author

Meyer, Megan L., McDonald, Stacy A., DellaPietra, Lynn, Wiechnik, Matthew, and Dasch-Yee, Kimberly B.

Abstract

As student participation is an essential component of many classes, this research attempted to foster increased congruence between student and professor ratings of class participation. Study 1 (N = 191) explored the utility of a detailed grading rubric in assessing participation. As predicted, providing students and faculty with the same rubric resulted in a moderate correlation between their ratings. Consistent with previous research, student ratings were higher than professor ratings, particularly for low participators. Utilizing this rubric, Study 2 (N = 87) examined congruency at mid-term and again at end-term. Contrary to what was predicted, feedback provided at mid-term did not increase congruence at end-term. A potential implication of this finding is underdeveloped metacognitive skills in low participators. Perhaps, more frequent and substantive feedback is essential for these students.

Published
2018

8. Implications of missingness in self-reported data for estimating racial and ethnic disparities in Medicaid quality measures

Author

Yee, Kimberly, Hoopes, Megan, Giebultowicz, Sophia, Elliott, Marc N., and McConnell, K. John

Subjects
Health care disparities -- Management, Self-care, Health -- Evaluation, Medical care -- Quality management, Company business management, Business, Health care industry
Abstract

Objective: To assess the feasibility and implications of imputing race and ethnicity for quality and utilization measurement in Medicaid. Data Sources and Study Setting: 2017 Oregon Medicaid claims from the Oregon Health Authority and electronic health records (EHR) from OCHIN, a clinical data research network, were used. Study Design: We cross-sectionally assessed Hispanic-White, Black-White, and Asian-White disparities in 22 quality and utilization measures, comparing selfreported race and ethnicity to imputed values from the Bayesian Improved Surname Geocoding (BISG) algorithm. Data Collection: Race and ethnicity were obtained from self-reported data and imputed using BISG. Principal Findings: 42.5%/4.9% of claims/EHR were missing self-reported data; BISG estimates were available for >99% of each and had good concordance (0.87-0.95) with Asian, Black, Hispanic, and White self-report. All estimated racial and ethnic disparities were statistically similar in self-reported and imputed EHR-based measures. However, within claims, BISG estimates and incomplete self-reported data yielded substantially different disparities in almost half of the measures, with BISG-based Black-White disparities generally larger than self-reported race and ethnicity data. Conclusions: BISG imputation methods are feasible for Medicaid claims data and reduced missingness to KEYWORDS Bayesian imputation, health care disparities, HEDIS, Medicaid, quality of health care, race factors What is known on this topic * Missingness of self-reported race and ethnicity in administrative data is often high and due to non-ignorable mechanisms. * Bayesian Improved Surname Geocoding (BISG) indirect estimates of race and ethnicity have high accuracy in predicting racial and ethnic identity. * Reliance on administrative data that does not correct for missingness may misrepresent measures of health disparities. What this study adds * This study demonstrates the feasibility of using BISG in a Medicaid population, producing imputed estimates for more than 99% of beneficiaries. * Estimated magnitudes of disparities were larger in claims-based measures that incorporated BISG than in measures that did not adjust for missingness. * Electronic health records-based measures of disparities that incorporated BISG were statistically similar to those using self-reported race and ethnicity data, perhaps reflecting the low rate of missingness in electronic health record data., 1 | INTRODUCTION Implementation of the Affordable Care Act (ACA) in 2014 was associated with significant reductions in, but not elimination of, racial and ethnic disparities. (1) Analyses of the [...]

Published
2022
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9. Mass cytometry reveals a conserved immune trajectory of recovery in hospitalized COVID-19 patients

Author

Patel, Ravi, Abe-Jones, Yumiko, Asthana, Saurabh, Beagle, Alexander, Bhide, Sharvari, Cai, Cathy, Calvo, Maria, Carrillo, Sidney A., Chak, Suzanna, Collins, Zachary, Darmanis, Spyros, Fragiadakis, Gabriela K., Ghale, Rajani, Giberson, Jeremy, Glenn, Pat, Gonzalez, Ana, Hiam-Galvez, Kamir, Jauregui, Alejandra, Ke, Serena, Lea, Tasha, Lee, Deanna, Lota, Raphael, Lupin-Jimenez, Leonard, Nguyen, Viet, Nigam, Nishita, Pierce, Logan, Prasad, Priya, Rao, Arjun, Rashid, Sadeed, Rodriguez, Nicklaus, Samad, Bushra, Shaw, Cole, Sigman, Austin, Sinha, Pratik, Tang, Kevin, Altamirano, Luz Torres, Tumurbaatar, Erden, Upadhyay, Vaibhav, Ward, Alyssa, Wong, Kristine, Ye, Chun Jimmie, Yee, Kimberly, Zhou, Mingyue, Burnett, Cassandra E., Okholm, Trine Line Hauge, Tenvooren, Iliana, Marquez, Diana M., Tamaki, Stanley, Munoz Sandoval, Priscila, Willmore, Andrew, Hendrickson, Carolyn M., Kangelaris, Kirsten N., Langelier, Charles R., Krummel, Matthew F., Woodruff, Prescott G., Calfee, Carolyn S., Erle, David J., Ansel, K. Mark, and Spitzer, Matthew H.

Published
2022
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10. Efficacy and safety of two neutralising monoclonal antibody therapies, sotrovimab and BRII-196 plus BRII-198, for adults hospitalised with COVID-19 (TICO): a randomised controlled trial

Author

Self, Wesley H., Sandkovsky, Uriel, Reilly, Cavan S., Vock, David M., Gottlieb, Robert L., Mack, Michael, Golden, Kevin, Dishner, Emma, Vekstein, Andrew, Ko, Emily R., Der, Tatyana, Franzone, John, Almasri, Eyad, Fayed, Mohamed, Filbin, Michael R., Hibbert, Kathryn A., Rice, Todd W., Casey, Jonathan D., Hayanga, J. Awori, Badhwar, Vinay, Leshnower, Bradley G., Sharifpour, Milad, Knowlton, Kirk U., Peltan, Ithan D., Bakowska, Elizieta, Kowalska, Justyna, Bowdish, Michael E., Sturek, Jeffrey M., Rogers, Angela J., Files, D. Clark, Mosier, Jarrod M., Gong, Michelle N., Douin, David J., Hite, R. Duncan, Trautner, Barbara W., Jain, Mamta K., Gardner, Edward M., Khan, Akram, Jensen, Jens-Ulrik, Matthay, Michael A., Ginde, Adit A., Brown, Samuel M., Higgs, Elizabeth S., Pett, Sarah, Weintrob, Amy C., Chang, Christina C., Murrary, Daniel D., Günthard, Huldrych F., Moquete, Ellen, Grandits, Greg, Engen, Nicole, Grund, Birgit, Sharma, Shweta, Cao, Huyen, Gupta, Rajesh, Osei, Suzette, Margolis, David, Zhu, Qing, Polizzotto, Mark N., Babiker, Abdel G., Davey, Victoria J., Kan, Virginia, Thompson, B. Taylor, Gelijns, Annetine C., Neaton, James D., Lane, H. Clifford, Jundgren, Jens D., Tierney, John, Barrett, Kevin, Herpin, Betsey R., Smolskis, Mary C., Voge, Susan E., McNay, Laura A., Cahill, Kelly, Crew, Page, Kirchoff, Matthew, Sardana, Ratna, Raim, Sharon Segal, Chiu, Joseph, Hensley, Lisa, Lorenzo, Josua, Mock, Rebecca, Shaw-Saliba, Katy, Zuckerman, Judith, Adam, Stacey J., Currier, Judy, Read, Sarah, Hughes, Eric, Amos, Laura, Carlsen, Amy, Carter, Anita, Davis, Bionca, Denning, Eileen, DuChene, Alain, Harrison, Merrie, Kaiser, Payton, Koopmeiners, Joseph, Meger, Sue, Murray, Thomas, Quan, Kien, Quan, Siu Fun, Thompson, Greg, Walski, Jamie, Wentworth, Deborah, Moskowitz, Alan J., Bagiella, Emilia, O'Sullivan, Karen, Marks, Mary E., Accardi, Evan, Kinzel, Emily, Bedoya, Gabriela, Gupta, Lopa, Overbey, Jessica R., Padillia, Maria L., Santos, Milerva, Gillinov, Marc A., Miller, Marissa A., Taddei-Peters, Wendy C., Fenton, Kathleen, Berhe, Mezgebe, Haley, Clinton, Bettacchi, Christopher, Duhaime, Erin, Ryan, Madison, Burris, Sarah, Jones, Felecia, Villa, Samantha, Want, Samantha, Robert, Raven, Coleman, Tanquinisha, Clariday, Laura, Baker, Rebecca, Hurutado-Rodriguez, Marian, Iram, Nazia, Fresnedo, Michelle, Davis, Allyson, Leonard, Kiara, Ramierez, Noelia, Thammavong, Jon, Duque, Krizia, Turner, Emma, Fisher, Tammy, Robinson, Dianna, Ransom, Desirae, Lusk, Erica, Killian, Aaron, Palacious, Adriana, Solis, Edilia, Jerrow, Janet, Watts, Matthew, Whitacre, Heather, Cothran, Elizabeth, Smith, Peter K., Barkauskas, Christina E., Dreyer, Grace R., Witte, Marie, Mosaly, Nilima, Mourad, Ahmad, Holland, Thomas L., Lane, Kathleen, Bouffler, Andrew, McGowan, Lauren M., Motta, Marry, Tipton, Gregory, Stallings, Ben, Stout, Gennifer, McLendon-Arvik, Beth, Hollister, Beth A., Giangiacomo, Dana M., Sharma, Sunil, Pappers, Brian, McCarthy, Paul, Krupica, Troy, Sarwari, Arif, Reece, Rebecca, Fornaresio, Lisa, Glaze, Chad, Evans, Raquel, Preamble, Katarina, Sutton, Lisa Giblin, Buterbaugh, Sabrina, Bartolo, Elizabeth Berry, Williams, Roger, Bunner, Robin, Bender, William, Miller, Jeffrey, Baio, Kim T., McBride, Mary K., Fielding, Michele, Mathewson, Sonya, Porte, Kristina, Maton, Missy, Ponder, Chari, Haley, Elizabeth, Spainhour, Christine, Rogers, Susan, Tyler, Derrick, Wald-Dickler, Noah, Hutcheon, Douglass, Towfighi, Amytis, Lee, May M., Lewis, Meghan R., Spellberg, Brad, Sher, Linda, Sharma, Aniket, Olds, Anna P., Justino, Chris, Lozano, Edward, Romero, Chris, Leong, Janet, Rodina, Valentina, Possemato, Tammie, Escobar, Jose, Chiu, Charlene, Weissman, Kevin, Barros, Andrew, Enfield, Kyle B., Kadl, Alexandra, Green, China J., Simon, Rachel M., Fox, Ashley, Thornton, Kara, Parrino, Patrick E., Spindel, Stephen, Bansal, Aditya, Baumgarten, Katherine, Hand, Jonathan, Vonderhaar, Derek, Nossaman, Bobby, Laudun, Sylvia, Ames, DeAnna, Broussard, Shane, Hernandez, Nilmo, Isaac, Geralyn, Dinh, Huan, Zheng, Yiling, Tran, Sonny, McDaniel, Hunter, Crovetto, Nicolle, Miller, Leslie, Schelle, Beth, McLean, Sherry, Rothbaum, Howard R., Alvarez, Michael S., Kalan, Shivam P., Germann, Heather H., Hendershot, Jennifer, Maroney, Karen, Herring, Karen, Cook, Sharri, Paul, Pam, Madathil, Ronson J., Rabin, Joseph, Levine, Andrea, Saharia, Kapil, Tabatabai, Ali, Lau, Christine, Gammie, James S., Peguero, Maya-Loren, McKernan, Kimberley, Audette, Matthew, Fleischmann, Emily, Akbari, Freshta, Lee, Maia, Lee, Myounghee, Chi, Andrew, Salehi, Hanna, Pariser, Alan, Nguyen, Phuong Tran, Moore, Jessica, Gee, Adrienne, Vincent, Shelika, Zuckerman, Richard A., Iribarne, Alexander, Metzler, Sara, Shipman, Samantha, Caccia, Taylor, Johnson, Haley, Newton, Crystallee, Parr, Doug, Rodriguez, Vicente, Bokhart, Gordon, Eichman, Sharon M., North, Crystal, Oldmixon, Cathryn, Ringwood, Nancy, Fitzgerald, Laura, Morin, Haley D., Muzikansky, Ariela, Morse, Richard, Brower, Roy G., Reineck, Lora A., Aggarwal, Neil R., Bienstock, Karen, Hou, Peter, Steingrub, Jay, Tidswell, Mark A., Kozikowski, Lori-Ann, Kardos, Cynthia, DeSouza, Leslie, Thornton-Thompson, Sherell, Talmor, Daniel, Shapiro, Nathan, Banner-Goodspeed, Valerie, Boyle, Katherine L., Hayes, Sharon, Jones, Alan E., Galbraith, James, Nandi, Utsav, Peacock, Rebekah K., Parry, Blair Alden, Margolin, Justin D., Brait, Kelsey, Beakes, Caroline, Kangelaris, Kirsten N., Yee, Kimberly J., Ashktorab, Kimia, Jauregui, Alejandra E., Zhuo, Hanjing, Hendey, Gregory, Hubel, Kinsley A., Hughes, Alyssa R., Garcia, Rebekah L., Wilson, Jennifer G., Vojnik, Rosemary, Roque, Jonasel, Perez, Cynthia, Lim, George W., Chang, Steven Y., Beutler, Rebecca, Agarwal, Trisha, Vargas, Julia, Moss, Marc, Baduashvili, Amiran, Chauhan, Lakshmi, Finck, Lani L., Howell, Michelle, Hyzy, Robert C., Park, Pauline K., Nelson, Kristine, McSparron, Jake I., Co, Ivan N., Wang, Bonnie R., Jia, Shijing, Sullins, Barbara, Hanna, Sinan, Olbrich, Norman, Richardson, Lynne D., Nair, Rahul, Offor, Obiageli, Lopez, Brenda, Amosu, Omowunmi, Tzehaie, Hiwet, Terndrup, Thomas E., Wiedemann, Herbert P., Duggal, Abhijit, Thiruchelvam, Nirosshan, Ashok, Kiran, King, Alexander H., Mehkri, Omar, Hudock, Kristin, Kiran, Simra, More, Harshada, Roads, Tammy, Martinkovic, Jamie, Kennedy, Sarah, Robinson, Bryce H., Hough, Catherine L., Krol, Olivia F., Kinjal, Mistry, Mills, Emmanuel, McDougal, Madeline, Deshmukh, Rupali, Chen, Peter, Torbati, Sam S., Matusov, Yuri, Choe, June, Hindoyan, Niree A., Jackman, Susan E., Bayoumi, Emad, Wynter, Timothy, Caudill, Antonina, Pascual, Ethan, Clapham, Gregg J., Herrera, Lisa, Ojukwu, Cristabelle, Mehdikhani, Shaunt, O'Mahony, D. Shane, Nyatsatsang, Sonam T., Wilson, David M., Wallick, Julie A., Miller, Chadwick, Gibbs, Keven W., Flores, Lori S., LaRose, Mary E., Landreth, Leigha D., Morris, Peter E., Sturgill, Jamie L., Cassity, Evan P., Dhar, Sanjay, Montgomery-Yates, Ashley A., Pasha, Sara N., Mayer, Kirby P., Bissel, Brittany, Bledsoe, Joseph, Brown, Samuel, Lanspa, Michael, Leither, Lindsey, Armbruster, Brent P., Montgomery, Quinn, Applegate, Darrin, Kumar, Naresh, Fergus, Melissa, Serezlic, Erna, Imel, Karah, Palmer, Ghazal, Webb, Brandon, Aston, Valerie T., Johnson, Jakea, Gray, Christopher, Hays, Margaret, Roth, Megan, Sánchez, Adriana, Popielski, Laura, Rivasplata, Heather, Turner, Melissa, Vjecha, Michael, Petersen, Tianna, Kamel, Dena, Hansen, Laura, Lucas, Claudia Sanchez, DellaValle, Natalie, Gonzales, Sonia, Scott, James, Wyles, David, Douglas, Ivor, Haukoos, Jason, Kamis, Kevin, Robinson, Caitlin, Baker, Jason V., Frosch, Anne, Goldsmith, Rachael, Jibrell, Hodan, Lo, Melanie, Klaphake, Jonathan, Mackedanz, Shari, Ngo, Linh, Garcia-Myers, Kelly, Markowitz, Norman, Pastor, Erika, Ramesh, Mayur, Brar, Indira, Rivers, Emanuel, Kumar, Princy, Menna, Maximiliano, Biswas, Kousick, Harrington, Cristin, Delp, Alex, Pandit, Lavannya, Hines-Munson, Casey, Van, John, Dillon, Laura, Want, Yiqun, Lichtenberger, Paola, Baracco, Gio, Ramos, Carol, Bjork, Lauren, Sueiro, Melyssa, Tien, Phyllis, Freasier, Heather, Buck, Theresa, Nekach, Hafida, Nagy-Agren, Stephanie, Vasudeva, Shikha, Ochalek, Tracy, Roller, Brentin, Nguyen, Chinh, Mikail, Amani, Raben, Dorthe, Jensen, Tomas O., Aagaard, Bitten, Nielsen, Charlotte B., Krapp, Katharina, Nykjær, Bente Rosdahl, Kanne, Katja Lisa, Grevsen, Anne Louise, Joensen, Zillah Maria, Bruun, Tina, Bojesen, Ane, Woldbye, Frederik, Normand, Nick E., Esmann, Frederik V.L., Clausen, Clara Lundetoft, Hovmand, Nichlas, Pedersen, Karen Brorup, Thorlacius-Ussing, Louise, Tinggaard, Michaela, Høgsberg, Dorthe S., Rastoder, Ema, Kamstrup, Thobias, Bergsøe, Christina Marisa, Østergaard, Lars, Stærke, Nina Breinholt, Johansen, Isik S., Knudtzen, Fredrikke C., Larsen, Lykke, Hertz, Mathias A., Fabricius, Thilde, Helleberg, Marie, Gerstoft, Jan, Jensen, Tomas Østergaard, Lindegaard, Birgitte, Pedersen, Thomas Ingemann, Røge, Birgit Thorup, Løfberg, Sandra Valborg, Hansen, Thomas Michael, Nielsen, Ariella Denize, von Huth, Sebastian Leicht, Nielsen, Henrik, Thisted, Rikke Krog, Podlekareva, Daria, Johnsen, Stine, Andreassen, Helle Frost, Pedersen, Lars, Lindnér, Cecilia Ebba Clara Ellinor, Wiese, Lothar, Knudsen, Lene Surland, Nytofte, Nikolaj Julian Skrøder, Havmøller, Signe Ravn, Paredes, Roger, Exposito, Maria, Fernández-Cruz, Eduardo, Muñoz, José, Arribas, Jose R., Estrada, Vicente, Horcajada, Juan P., Burgos, Joaquin, Morales-Rull, Jose Luis, Braun, Dominique L., West, Emily, M'Rabeth-Bensalah, Khadija, Eichinger, Mareile L., Grüttner-Durmaz, Manuela, Grube, Christina, Zink, Veronika, Horban, Andrzej, Bednarska, Agnieszka, Jurek, Natalia, Fätkenheuer, Gerd, Malinm, Jakob J., Matthews, Gail, Kelleher, Anthony, Cabrera, Gesalit, Carey, Catherine, Hough, Sally, Virachit, Sophie, Zhong, Amy, Young, Barnaby E., Chia, Po Ying, Lee, Tau Hong, Lin, Ray J., Lye, David, Ong, Sean, Puah, Ser Hon, Yeo, Tsin Wen, Diong, Shiau Hui, Ongko, Juwinda, Hudson, Fleur, Parmar, Mahesh KB, Goodman, Anna, Badrock, Jonathan, Gregory, Adam, Harris, Nicola, Touloumi, Giota, Pantaz, Nikos, Gioukari, Vicky, Lutaakome, Joseph, Kityo, Cissy M., Mugerwa, Henry, Kiweewa, Francis, Osinusi, Anu, Tipple, Craig, Willis, Angela, Peppercorn, Amanda, Watson, Helen, Alexander, Elizabeth, Mogalian, Erik, Lin, Leo, Ding, Xiao, Yan, Li, Girardet, Jean-Luc, Ma, Ji, Hong, Zhi, Adams, Amy, Albert, Sara, Balde, Abby, Baracz, Michelle, Baseler, Beth, Becker, Nancy, Bielica, Mona, Billouin-Frazier, Shere, Cash, Jennifer, Choudhary, Jay, Dolney, Suzanne, Dixon, Mary, Eyler, Carolyn, Frye, Leanna, Galcik, Michael, Gertz, Jensen, Giebeig, Lisa, Gulati, Neelam, Hankinson, Liz, Hissey, Debbie, Hogarty, Debi, Hohn, Matt, Holley, H Preston, Hoopengardner, Lisa, Huber, Lynda, Jankelevich, Shirley, Krauss, Gary, Lake, Eileen, Linton, Jessica, MacDonald, Leah, Manandhar, Meryan, Spinelli-Nadzam, Mary, Oluremi, Charles, Proffitt, Calvin, Rudzinski, Erin, Sandrus, Jen, Schaffhauser, Marylu, Schechner, Adam, Suders, Connie, Gerry, Norman P., Smith, Kenneth, Solomon, Courtney, Kubernac, Amanda, Rashid, Marium, Patel, Bhakti, Kubernac, Robert, Murphy, Joseph, Hoover, Marie L., Brown, Craig, DuChateau, Nadine, Flosi, Adam, Johnson, Les, Treagus, Amy, and Wenner, Christine

Published
2022
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12. A myeloid program associated with COVID-19 severity is decreased by therapeutic blockade of IL-6 signaling

Author

Hackney, Jason A., primary, Shivram, Haridha, additional, Vander Heiden, Jason, additional, Overall, Chris, additional, Orozco, Luz, additional, Gao, Xia, additional, Kim, Eugene, additional, West, Nathan, additional, Qamra, Aditi, additional, Chang, Diana, additional, Chakrabarti, Arindam, additional, Choy, David F., additional, Combes, Alexis J., additional, Courau, Tristan, additional, Fragiadakis, Gabriela K., additional, Rao, Arjun Arkal, additional, Ray, Arja, additional, Tsui, Jessica, additional, Hu, Kenneth, additional, Kuhn, Nicholas F., additional, Krummel, Matthew F., additional, Erle, David J., additional, Kangelaris, Kirsten, additional, Sarma, Aartik, additional, Lyon, Zoe, additional, Calfee, Carolyn S., additional, Woodruff, Prescott G., additional, Ghale, Rajani, additional, Mick, Eran, additional, Byrne, Ashley, additional, Zha, Beth Shoshana, additional, Langelier, Charles, additional, Hendrickson, Carolyn M., additional, van der Wijst, Monique G.P., additional, Hartoularos, George C., additional, Grant, Tianna, additional, Bueno, Raymund, additional, Lee, David S., additional, Greenland, John R., additional, Sun, Yang, additional, Perez, Richard, additional, Ogorodnikov, Anton, additional, Ward, Alyssa, additional, Ye, Chun Jimmie, additional, Ramalingam, Thiru, additional, McBride, Jacqueline M., additional, Cai, Fang, additional, Teterina, Anastasia, additional, Bao, Min, additional, Tsai, Larry, additional, Rosas, Ivan O., additional, Regev, Aviv, additional, Kapadia, Sharookh B., additional, Bauer, Rebecca N., additional, Rosenberger, Carrie M., additional, Abe-Jones, Yumiko, additional, Adkisson, Michael, additional, Ansel, K. Mark, additional, Asthana, Saurabh, additional, Beagle, Alexander, additional, Bhide, Sharvari, additional, Cai, Cathy, additional, Caldera, Saharai, additional, Calvo, Maria, additional, Carrillo, Sidney A., additional, Chak, Suzanna, additional, Christenson, Stephanie, additional, Collins, Zachary, additional, Darmanis, Spyros, additional, Detweiler, Angela, additional, DeVoe, Catherine, additional, Eckalbar, Walter, additional, Giberson, Jeremy, additional, Gonzalez, Ana, additional, Gordon, Gracie, additional, Serpa, Paula Hayakawa, additional, Jauregui, Alejandra, additional, Jones, Chayse, additional, Ke, Serena, additional, Kushnoor, Divya, additional, Lea, Tasha, additional, Lee, Deanna, additional, Leligdowicz, Aleksandra, additional, Liu, Yale, additional, Mahboob, Salman, additional, Maliskova, Lenka, additional, Matthay, Michael, additional, McCarthy, Elizabeth, additional, Muñoz-Sandoval, Priscila, additional, Neff, Norma, additional, Nguyen, Viet, additional, Nigam, Nishita, additional, Parada, Randy, additional, Phelps, Maira, additional, Pierce, Logan, additional, Prasad, Priya, additional, Rashid, Sadeed, additional, Reeder, Gabriella, additional, Rodriguez, Nicklaus, additional, Samad, Bushra, additional, Schroeder, Andrew, additional, Shaw, Cole, additional, Shen, Alan, additional, Sigman, Austin, additional, Sinha, Pratik, additional, Spitzer, Matthew, additional, Sunshine, Sara, additional, Tang, Kevin, additional, Altamirano, Luz Torres, additional, Tsitsiklis, Alexandra, additional, Tumurbaatar, Erden, additional, Upadhyay, Vaibhav, additional, Whatley, Alexander, additional, Willmore, Andrew, additional, Wilson, Michael, additional, Winkler, Juliane, additional, Wong, Kristine, additional, Yee, Kimberly, additional, Yu, Michelle, additional, Zhou, Mingyue, additional, and Zhu, Wandi S., additional

Published
2023
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15. Organization of Outpatient Care After COVID-19 Hospitalization

Author

Steingrub, Jay S., Tidswell, Mark A., Kozikowski, Lori-Ann, Kardos, Cynthia, DeSouza, Lesley, Baron, Rebecca M., Pinilla-Vera, Mayra, Rubins, David M., Arciniegas, Antonio, Riker, Richard, Lord, Christine, Elie, Marie-Carmelle, Talmor, Daniel, Shapiro, Nathan, Banner-Goodspeed, Valerie, Hibbert, Kathryn A., Brait, Kelsey, Pulido, Natalie, Jones, Alan, Galbraith, James, Nandi, Utsav, Peacock, Rebekah, Davis, Jenna, Prekker, Matthew, Puskarich, Michael, Jones, Seth, Roerhl, Anne, Hendrickson, Audrey, Matthay, Michael, Kangelaris, Kirsten, Liu, Kathleen, Yee, Kimberly, Zhuo, Hanjing, Hendey, Gregory, Chang, Steven, Qadir, Nida, Tam, Andrea, Beutler, Rebecca, Agarwal, Trisha, Levitt, Joseph, Wilson, Jennifer G., Rogers, Angela, Roque, Jonasel, Vojnik, Rosemary, Albertson, Timothy E., Chenoweth, James A., Adams, Jason Y., Morrissey, Brian M., Pearson, Skyler J., Almasri, Eyad, Hughes, Alyssa, Moss, Marc, Ginde, Adit, McKeehan, Jeffrey, Finck, Lani, Howell, Michelle, Higgins, Carrie, Haukoos, Jason, Gravitz, Stephanie, Lyle, Carolynn, Douglas, Ivor S., Hiller, Terra, Goold, Audrey, Finigan, James, Hyzy, Robert, Park, Pauline, Sjoding, Michael, Kay, Stephen, Nelson, Kristine, McDonough, Kelli, Jayaprakash, Namita, Rivers, Emanuel P., Swiderek, Jennifer, Gill, Jasreen Kaur, Day, Jacqueline, Sherwin, Robert, Wooden, James, Mazzoco, Thomas, Gong, Michelle Ng, Aboodi, Michael, Asghar, Ayesha, Amosu, Omowunmi, Tzehaie, Hiwet, Hope, Aluko A., Chen, Jen-Ting, Nair, Rahul, Lopez, Brenda, Offor, Obiageli, Mosier, Jarrod M., Hypes, Cameron D., Salvagio, Elizabeth, Bime, Christian, Cristan, Elaine, Richardson, Lynne D., Mathews, Kusum S., Goel, Neha, Maher, Patrick, Acquah, Samuel, Cardone, Donald, Oldenburg, Gary, Dunn, Andrew, Hite, Duncan, Hudock, Kristin, Arroyo, Jose Gomez, Roads, Tammy, Duggal, Abhijit, Mireles-Cabodevila, Eduardo, Robinson, Bryce R.H., Johnson, Nicholas J., Gundel, Stephanie, Evans, Laura, O'Mahony, D. Shane, Wallick, Julie A., Pedraza, Isabel, Hough, Catherine L., Khan, Akram, Krol, Olivia, Jouzestani, Milad Karami, Vranas, Kelly, Yealy, Donald M., Angus, Derek C., Weissman, Alexandra, Huang, David T., Boeltz-Skrtich, Aimee, Moore, Steven, Isenberg, Derek, Files, D. Clark, Miller, Chadwick, Gibbs, Kevin, Flores, Lori, LaRose, Mary, Koehler, Lauren, Landreth, Leigha, Morris, Peter, Cassity, Evan, Sturgill, Jamie, Mayer, Kirby, Montgomery-Yates, Ashley, de Wit, Marjolein, Mason, Jessica, Goodwin, Andrew, Grady, Abigail, Burch, Patterson, Enfield, Kyle B., Sturek, Jeffrey M., Marshall, Mary, Bledsoe, Joseph R., Brown, Samuel M., Peltan, Ithan D., Grissom, Colin K., Armbruster, Brent, Harris, Estelle, Eppensteiner, John, Hall, Bria Johnston, Hall, Grace L., McGowan, Lauren, Bouffler, Andrew, Walker, Erica, Francis, Samuel, Porter, Tedra, deBoisblanc, Bennett P., Lammi, Matthew R., Janz, David R., Lauto, Paula, Romaine, Connie, Sandi, Marie, Rice, Todd W., Self, Wesley H., Ringwood, Nancy, Nagrebetsky, Alexander, Fitzgerald, Laura, Brower, Roy G., Reineck, Lora A., Aggarwal, Neil R., Bienstock, Karen, Valley, Thomas S., Schutz, Amanda, Vranas, Kelly C., Jolley, Sarah E., and Palakshappa, Jessica A.

Published
2022
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16. Organization of Outpatient Care After COVID-19 Hospitalization

Author

Valley, Thomas S., primary, Schutz, Amanda, additional, Peltan, Ithan D., additional, Vranas, Kelly C., additional, Mathews, Kusum S., additional, Jolley, Sarah E., additional, Palakshappa, Jessica A., additional, Hough, Catherine L., additional, Steingrub, Jay S., additional, Tidswell, Mark A., additional, Kozikowski, Lori-Ann, additional, Kardos, Cynthia, additional, DeSouza, Lesley, additional, Baron, Rebecca M., additional, Pinilla-Vera, Mayra, additional, Rubins, David M., additional, Arciniegas, Antonio, additional, Riker, Richard, additional, Lord, Christine, additional, Elie, Marie-Carmelle, additional, Talmor, Daniel, additional, Shapiro, Nathan, additional, Banner-Goodspeed, Valerie, additional, Hibbert, Kathryn A., additional, Brait, Kelsey, additional, Pulido, Natalie, additional, Jones, Alan, additional, Galbraith, James, additional, Nandi, Utsav, additional, Peacock, Rebekah, additional, Davis, Jenna, additional, Prekker, Matthew, additional, Puskarich, Michael, additional, Jones, Seth, additional, Roerhl, Anne, additional, Hendrickson, Audrey, additional, Matthay, Michael, additional, Kangelaris, Kirsten, additional, Liu, Kathleen, additional, Yee, Kimberly, additional, Zhuo, Hanjing, additional, Hendey, Gregory, additional, Chang, Steven, additional, Qadir, Nida, additional, Tam, Andrea, additional, Beutler, Rebecca, additional, Agarwal, Trisha, additional, Levitt, Joseph, additional, Wilson, Jennifer G., additional, Rogers, Angela, additional, Roque, Jonasel, additional, Vojnik, Rosemary, additional, Albertson, Timothy E., additional, Chenoweth, James A., additional, Adams, Jason Y., additional, Morrissey, Brian M., additional, Pearson, Skyler J., additional, Almasri, Eyad, additional, Hughes, Alyssa, additional, Moss, Marc, additional, Ginde, Adit, additional, McKeehan, Jeffrey, additional, Finck, Lani, additional, Howell, Michelle, additional, Higgins, Carrie, additional, Haukoos, Jason, additional, Gravitz, Stephanie, additional, Lyle, Carolynn, additional, Douglas, Ivor S., additional, Hiller, Terra, additional, Goold, Audrey, additional, Finigan, James, additional, Hyzy, Robert, additional, Park, Pauline, additional, Sjoding, Michael, additional, Kay, Stephen, additional, Nelson, Kristine, additional, McDonough, Kelli, additional, Jayaprakash, Namita, additional, Rivers, Emanuel P., additional, Swiderek, Jennifer, additional, Gill, Jasreen Kaur, additional, Day, Jacqueline, additional, Sherwin, Robert, additional, Wooden, James, additional, Mazzoco, Thomas, additional, Gong, Michelle Ng, additional, Aboodi, Michael, additional, Asghar, Ayesha, additional, Amosu, Omowunmi, additional, Tzehaie, Hiwet, additional, Hope, Aluko A., additional, Chen, Jen-Ting, additional, Nair, Rahul, additional, Lopez, Brenda, additional, Offor, Obiageli, additional, Mosier, Jarrod M., additional, Hypes, Cameron D., additional, Salvagio, Elizabeth, additional, Bime, Christian, additional, Cristan, Elaine, additional, Richardson, Lynne D., additional, Goel, Neha, additional, Maher, Patrick, additional, Acquah, Samuel, additional, Cardone, Donald, additional, Oldenburg, Gary, additional, Dunn, Andrew, additional, Hite, Duncan, additional, Hudock, Kristin, additional, Arroyo, Jose Gomez, additional, Roads, Tammy, additional, Duggal, Abhijit, additional, Mireles-Cabodevila, Eduardo, additional, Robinson, Bryce R.H., additional, Johnson, Nicholas J., additional, Gundel, Stephanie, additional, Evans, Laura, additional, O'Mahony, D. Shane, additional, Wallick, Julie A., additional, Pedraza, Isabel, additional, Khan, Akram, additional, Krol, Olivia, additional, Jouzestani, Milad Karami, additional, Vranas, Kelly, additional, Yealy, Donald M., additional, Angus, Derek C., additional, Weissman, Alexandra, additional, Huang, David T., additional, Boeltz-Skrtich, Aimee, additional, Moore, Steven, additional, Isenberg, Derek, additional, Files, D. Clark, additional, Miller, Chadwick, additional, Gibbs, Kevin, additional, Flores, Lori, additional, LaRose, Mary, additional, Koehler, Lauren, additional, Landreth, Leigha, additional, Morris, Peter, additional, Cassity, Evan, additional, Sturgill, Jamie, additional, Mayer, Kirby, additional, Montgomery-Yates, Ashley, additional, de Wit, Marjolein, additional, Mason, Jessica, additional, Goodwin, Andrew, additional, Grady, Abigail, additional, Burch, Patterson, additional, Enfield, Kyle B., additional, Sturek, Jeffrey M., additional, Marshall, Mary, additional, Bledsoe, Joseph R., additional, Brown, Samuel M., additional, Grissom, Colin K., additional, Armbruster, Brent, additional, Harris, Estelle, additional, Eppensteiner, John, additional, Hall, Bria Johnston, additional, Hall, Grace L., additional, McGowan, Lauren, additional, Bouffler, Andrew, additional, Walker, Erica, additional, Francis, Samuel, additional, Porter, Tedra, additional, deBoisblanc, Bennett P., additional, Lammi, Matthew R., additional, Janz, David R., additional, Lauto, Paula, additional, Romaine, Connie, additional, Sandi, Marie, additional, Rice, Todd W., additional, Self, Wesley H., additional, Ringwood, Nancy, additional, Nagrebetsky, Alexander, additional, Fitzgerald, Laura, additional, Brower, Roy G., additional, Reineck, Lora A., additional, Aggarwal, Neil R., additional, and Bienstock, Karen, additional

Published
2022
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17. Mathematics Content Standards for California Public Schools: Kindergarten through Grade Twelve.

Author

California State Board of Education, Sacramento., Ong, Faye, Lucia, Bill, and Yee, Kimberly

Abstract

This document contains the mathematics content standards for California public schools for grades K-12. With the adoption of these content standards in mathematics, California is going beyond reform and redefining the state's role in public education. For the first time, the content that students need to acquire at each grade level is specifically stated. These standards are rigorous. The content is attainable by all students, given sufficient time, except for those few who have severe disabilities. These standards are regarded as firm but not unyielding and will be modified in future years to reflect new research and scholarship. Fifteen years from now, the adoption of these standards will be viewed as the signal event that began a rising tide of excellence in Californian schools. (Author/MVL)

Published
1997

20. BSATableS1.docx

Author

Yuenting Kwong, Mehta, Kala, Miaskowski, Christine, Hanjing Zhuo, Yee, Kimberly, Jauregui, Alejandra, Ke, Serena, Deiss, Thomas, Abbott, Jason, Kangelaris, Kirsten, Pratik Sinha, Hendrickson, Carolyn, Gomez, Antonio, Leligdowicz, Aleksandra, Matthay, Michael A., Calfee, Carolyn S., and Liu, Kathleen D.

Abstract

Table 1 excluding mild AKI group

Published
2020
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22. Relationship Outcomes Following Involuntary Pregnancy Loss: The Role of Perceived Incongruent Grief.

Author

McDonald, Stacy A., Dasch-Yee, Kimberly B., and Grigg, Jenai

Subjects
*PSYCHOLOGY of miscarriage, *GRIEF, *PSYCHOLOGY of mothers, *MARITAL satisfaction, *REGRESSION analysis, *PSYCHOLOGY of Spouses, *T-test (Statistics), *QUESTIONNAIRES, *FAMILY relations, *PSYCHOLOGY of fathers, *COMMITMENT (Psychology)
Abstract

Involuntary pregnancy loss is a common and often traumatic event for couples. To examine the impact of pregnancy loss on relationship stability, this study examined how perceived incongruent grief (i.e., differences in grief responses as perceived by mothers) influenced relationship outcomes. Thirty-nine women who had experienced an involuntary pregnancy loss participated in an online survey that measured women's self-reported grief, perceptions of their partner's grief, and relationship satisfaction and commitment. It was predicted that perceived incongruent grief would be negatively related to satisfaction and commitment, and satisfaction would mediate the association between incongruent grief and commitment. T tests indicated that women perceived that they grieved more intensely than their partners. Regression analyses demonstrated that women's grief negatively predicted satisfaction. Perceived incongruent grief was also negatively related to satisfaction but not commitment. Considering the impact of perceived incongruent grief on satisfaction, these findings have implications for mental health professionals working with couples following pregnancy loss. [ABSTRACT FROM AUTHOR]

Published
2022
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23. Using best subset regression to identify clinical characteristics and biomarkers associated with sepsis-associated acute kidney injury

Author

Kwong, Y. Diana, primary, Mehta, Kala M., additional, Miaskowski, Christine, additional, Zhuo, Hanjing, additional, Yee, Kimberly, additional, Jauregui, Alejandra, additional, Ke, Serena, additional, Deiss, Thomas, additional, Abbott, Jason, additional, Kangelaris, Kirsten N., additional, Sinha, Pratik, additional, Hendrickson, Carolyn, additional, Gomez, Antonio, additional, Leligdowicz, Aleksandra, additional, Matthay, Michael A., additional, Calfee, Carolyn S., additional, and Liu, Kathleen D., additional

Published
2020
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27. Using best subset regression to identify clinical characteristics and biomarkers associated with sepsis-associated acute kidney injury.

Author

Kwong, Y. Diana, Mehta, Kala M., Miaskowski, Christine, Hanjing Zhuo, Yee, Kimberly, Jauregui, Alejandra, Ke, Serena, Deiss, Thomas, Abbott, Jason, Kangelaris, Kirsten N., Sinha, Pratik, Hendrickson, Carolyn, Gomez, Antonio, Leligdowicz, Aleksandra, Matthay, Michael A., Calfee, Carolyn S., and Liu, Kathleen D.

Subjects
ACUTE kidney failure, BIOMARKERS, TUMOR necrosis factors, INTENSIVE care units
Abstract

Using best subset regression to identify clinical characteristics and biomarkers associated with sepsis-associated acute kidney injury. Am J Physiol Renal Physiol 319: F979-F987, 2020. First published October 12, 2020; doi:10.1152/ajprenal.00281.2020.--Sepsis-associated acute kidney injury (AKI) is a complex clinical disorder associated with inflammation, endothelial dysfunction, and dysregulated coagulation. With standard regression methods, collinearity among biomarkers may lead to the exclusion of important biological pathways in a single final model. Best subset regression is an analytic technique that identifies statistically equivalent models, allowing for more robust evaluation of correlated variables. Our objective was to identify common clinical characteristics and biomarkers associated with sepsis-associated AKI. We enrolled 453 septic adults within 24 h of intensive care unit admission. Using best subset regression, we evaluated for associations using a range of models consisting of 1 38 predictors (composed of clinical risk factors and plasma and urine biomarkers) with AKI as the outcome [defined as a serum creatinine (SCr) increase of -0.3 mg/dL within 48 h or -1.5 baseline SCr within 7 days]. Two hundred ninety-seven patients had AKI. Five-variable models were found to be of optimal complexity, as the best subset of five- and six-variable models were statistically equivalent. Within the subset of five-variable models, 46 permutations of predictors were noted to be statistically equivalent. The most common predictors in this subset included diabetes, baseline SCr, angiopoetin-2, IL-8, soluble tumor necrosis factor receptor-1, and urine neutrophil gelatinase-associated lipocalin. The models had a c-statistic of 0.70 (95% confidence interval: 0.65-0.75). In conclusion, using best subset regression, we identified common clinical characteristics and biomarkers associated with sepsis-associated AKI. These variables may be especially relevant in the pathogenesis of sepsis-associated AKI. [ABSTRACT FROM AUTHOR]

Published
2020
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28. No drug test, no welfare

Author

Yee, Kimberly

Subjects
Welfare recipients -- Drug testing -- Laws, regulations and rules, Illegal drugs, Drug addicts -- Drug testing -- Laws, regulations and rules, Welfare -- Laws, regulations and rules, Mandatory drug testing -- Laws, regulations and rules -- Political aspects, Government regulation, News, opinion and commentary
Abstract

Byline: Kimberly Yee States have an obligation to hold those on public assistance accountable for their actions. Receiving a public benefit is a privilege, not a right. The debate on [...]

Published
2012

39. FEMALE GENITAL CUTTING AND OTHER INTRA-VAGINAL PRACTICES: IMPLICATIONS FOR TWODAY METHOD USE.

Author

AKSEL, SARP, SINAI, IRIT, and YEE, KIMBERLY AUMACK

Abstract

This report examines the implications of female genital cutting and other intra-vaginal practices for offering the TwoDay Method® of family planning. This fertility awareness-based method relies on the identification of cervico-vaginal secretions to identify the fertile window. Female genital cutting and traditional vaginal practices, such as the use of desiccants, may affect the presence or absence of secretions and therefore the woman's perception of her fertility. These issues and their implications for service delivery of the method are discussed. [ABSTRACT FROM AUTHOR]

Published
2012
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42. Effect of Hydroxychloroquine on Clinical Status at 14 Days in Hospitalized Patients With COVID-19: A Randomized Clinical Trial.

Author

Self WH, Semler MW, Leither LM, Casey JD, Angus DC, Brower RG, Chang SY, Collins SP, Eppensteiner JC, Filbin MR, Files DC, Gibbs KW, Ginde AA, Gong MN, Harrell FE Jr, Hayden DL, Hough CL, Johnson NJ, Khan A, Lindsell CJ, Matthay MA, Moss M, Park PK, Rice TW, Robinson BRH, Schoenfeld DA, Shapiro NI, Steingrub JS, Ulysse CA, Weissman A, Yealy DM, Thompson BT, Brown SM, Steingrub J, Smithline H, Tiru B, Tidswell M, Kozikowski L, Thornton-Thompson S, De Souza L, Hou P, Baron R, Massaro A, Aisiku I, Fredenburgh L, Seethala R, Johnsky L, Riker R, Seder D, May T, Baumann M, Eldridge A, Lord C, Shapiro N, Talmor D, O’Mara T, Kirk C, Harrison K, Kurt L, Schermerhorn M, Banner-Goodspeed V, Boyle K, Dubosh N, Filbin M, Hibbert K, Parry B, Lavin-Parsons K, Pulido N, Lilley B, Lodenstein C, Margolin J, Brait K, Jones A, Galbraith J, Peacock R, Nandi U, Wachs T, Matthay M, Liu K, Kangelaris K, Wang R, Calfee C, Yee K, Hendey G, Chang S, Lim G, Qadir N, Tam A, Beutler R, Levitt J, Wilson J, Rogers A, Vojnik R, Roque J, Albertson T, Chenoweth J, Adams J, Pearson S, Juarez M, Almasri E, Fayed M, Hughes A, Hillard S, Huebinger R, Wang H, Vidales E, Patel B, Ginde A, Moss M, Baduashvili A, McKeehan J, Finck L, Higgins C, Howell M, Douglas I, Haukoos J, Hiller T, Lyle C, Cupelo A, Caruso E, Camacho C, Gravitz S, Finigan J, Griesmer C, Park P, Hyzy R, Nelson K, McDonough K, Olbrich N, Williams M, Kapoor R, Nash J, Willig M, Ford H, Gardner-Gray J, Ramesh M, Moses M, Ng Gong M, Aboodi M, Asghar A, Amosu O, Torres M, Kaur S, Chen JT, Hope A, Lopez B, Rosales K, Young You J, Mosier J, Hypes C, Natt B, Borg B, Salvagio Campbell E, Hite RD, Hudock K, Cresie A, Alhasan F, Gomez-Arroyo J, Duggal A, Mehkri O, Hastings A, Sahoo D, Abi Fadel F, Gole S, Shaner V, Wimer A, Meli Y, King A, Terndrup T, Exline M, Pannu S, Robart E, Karow S, Hough C, Robinson B, Johnson N, Henning D, Campo M, Gundel S, Seghal S, Katsandres S, Dean S, Khan A, Krol O, Jouzestani M, Huynh P, Weissman A, Yealy D, Scholl D, Adams P, McVerry B, Huang D, Angus D, Schooler J, Moore S, Files C, Miller C, Gibbs K, LaRose M, Flores L, Koehler L, Morse C, Sanders J, Langford C, Nanney K, MdalaGausi M, Yeboah P, Morris P, Sturgill J, Seif S, Cassity E, Dhar S, de Wit M, Mason J, Goodwin A, Hall G, Grady A, Chamberlain A, Brown S, Bledsoe J, Leither L, Peltan I, Starr N, Fergus M, Aston V, Montgomery Q, Smith R, Merrill M, Brown K, Armbruster B, Harris E, Middleton E, Paine R, Johnson S, Barrios M, Eppensteiner J, Limkakeng A, McGowan L, Porter T, Bouffler A, Leahy JC, deBoisblanc B, Lammi M, Happel K, Lauto P, Self W, Casey J, Semler M, Collins S, Harrell F, Lindsell C, Rice T, Stubblefield W, Gray C, Johnson J, Roth M, Hays M, Torr D, Zakaria A, Schoenfeld D, Thompson T, Hayden D, Ringwood N, Oldmixon C, Ulysse C, Morse R, Muzikansky A, Fitzgerald L, Whitaker S, Lagakos A, Brower R, Reineck L, Aggarwal N, Bienstock K, Freemer M, Maclawiw M, Weinmann G, Morrison L, Gillespie M, Kryscio R, Brodie D, Zareba W, Rompalo A, Boeckh M, Parsons P, Christie J, Hall J, Horton N, Zoloth L, Dickert N, and Diercks D

Subjects
Adult, Aged, Female, Humans, Hydroxychloroquine administration & dosage, Male, Middle Aged, Treatment Failure, Hydroxychloroquine therapeutic use, COVID-19 Drug Treatment
Abstract

Importance: Data on the efficacy of hydroxychloroquine for the treatment of coronavirus disease 2019 (COVID-19) are needed., Objective: To determine whether hydroxychloroquine is an efficacious treatment for adults hospitalized with COVID-19., Design, Setting, and Participants: This was a multicenter, blinded, placebo-controlled randomized trial conducted at 34 hospitals in the US. Adults hospitalized with respiratory symptoms from severe acute respiratory syndrome coronavirus 2 infection were enrolled between April 2 and June 19, 2020, with the last outcome assessment on July 17, 2020. The planned sample size was 510 patients, with interim analyses planned after every 102 patients were enrolled. The trial was stopped at the fourth interim analysis for futility with a sample size of 479 patients., Interventions: Patients were randomly assigned to hydroxychloroquine (400 mg twice daily for 2 doses, then 200 mg twice daily for 8 doses) (n = 242) or placebo (n = 237)., Main Outcomes and Measures: The primary outcome was clinical status 14 days after randomization as assessed with a 7-category ordinal scale ranging from 1 (death) to 7 (discharged from the hospital and able to perform normal activities). The primary outcome was analyzed with a multivariable proportional odds model, with an adjusted odds ratio (aOR) greater than 1.0 indicating more favorable outcomes with hydroxychloroquine than placebo. The trial included 12 secondary outcomes, including 28-day mortality., Results: Among 479 patients who were randomized (median age, 57 years; 44.3% female; 37.2% Hispanic/Latinx; 23.4% Black; 20.1% in the intensive care unit; 46.8% receiving supplemental oxygen without positive pressure; 11.5% receiving noninvasive ventilation or nasal high-flow oxygen; and 6.7% receiving invasive mechanical ventilation or extracorporeal membrane oxygenation), 433 (90.4%) completed the primary outcome assessment at 14 days and the remainder had clinical status imputed. The median duration of symptoms prior to randomization was 5 days (interquartile range [IQR], 3 to 7 days). Clinical status on the ordinal outcome scale at 14 days did not significantly differ between the hydroxychloroquine and placebo groups (median [IQR] score, 6 [4-7] vs 6 [4-7]; aOR, 1.02 [95% CI, 0.73 to 1.42]). None of the 12 secondary outcomes were significantly different between groups. At 28 days after randomization, 25 of 241 patients (10.4%) in the hydroxychloroquine group and 25 of 236 (10.6%) in the placebo group had died (absolute difference, -0.2% [95% CI, -5.7% to 5.3%]; aOR, 1.07 [95% CI, 0.54 to 2.09])., Conclusions and Relevance: Among adults hospitalized with respiratory illness from COVID-19, treatment with hydroxychloroquine, compared with placebo, did not significantly improve clinical status at day 14. These findings do not support the use of hydroxychloroquine for treatment of COVID-19 among hospitalized adults., Trial Registration: ClinicalTrials.gov: NCT04332991.

Published
2020
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43. Estrogen receptor alpha expression in normal human breast epithelium is consistent over time.

Author

Khan SA, Yee KA, Kaplan C, and Siddiqui JF

Subjects
Adult, Aged, Biomarkers, Tumor metabolism, Breast Neoplasms etiology, Breast Neoplasms physiopathology, Case-Control Studies, Estrogen Receptor alpha, Female, Gene Expression Regulation, Neoplastic, Humans, Immunoenzyme Techniques, Menstrual Cycle, Middle Aged, Prevalence, Risk Factors, Time Factors, Breast metabolism, Breast Neoplasms metabolism, Epithelium metabolism, Receptors, Estrogen metabolism
Abstract

If increased expression of estrogen receptor alpha (ER) in benign breast epithelium increases susceptibility to breast cancer, such overexpression should be stable over time. There are no published data regarding this important aspect of ER expression in breast epithelium. We examined the temporal consistency of ER expression in the normal breast tissue of 28 women who had 2 separate breast surgical procedures, at least 6 months apart (mean interval, 2.8 years). Paraffin embedded breast tissue blocks containing an adequate sample of normal breast epithelium and no cancer, were sectioned and processed using the 6F11 antibody and standard immunohistochemical techniques. The ER labelling index (ER LI) was calculated by counting a mean of 2,000 epithelial cells. The median ER LI at first sampling was 13.6 and at second sample 15.5, with R(2) = 0.34 and p = 0.001. The ER LI was categorized into high and low values, using a threshold of 10. Twenty-four women (85.7%) showed concordance of high and low expression between the 2 samples (p = 0.002). There were 11 women who were premenopausal at both time points. Among them, much of the variation in ER LI was explained by differences in the menstrual cycle day at the time of sampling and adding the day of cycle to the regression model substantially improved the correlation between first and second labeling indices. These data suggest that ER expression of normal breast tissue is fairly consistent over time and support the notion that overexpression of ER in normal epithelium is a constant feature of the high risk breast., (Copyright 2002 Wiley-Liss, Inc.)

Published
2002
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