29 results on '"Agan B"'
Search Results
2. Acute Respiratory Infection Incidence and Outpatient Antibiotic Prescription Patterns in People Living With or Without HIV Infection: A Virtual Cohort Study
- Author
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Sweet, L, primary, Daniels, C, additional, Xu, X, additional, Sunil, T, additional, Topal, S, additional, Chu, X, additional, Noiman, A, additional, Barsoumian, A, additional, Ganesan, A, additional, Agan, B K, additional, and Okulicz, J F, additional
- Published
- 2023
- Full Text
- View/download PDF
3. Acute Respiratory Infection Incidence and Outpatient Antibiotic Prescription Patterns in People With or Without Human Immunodeficiency Virus Infection: A Virtual Cohort Study.
- Author
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Sweet, L, Daniels, C, Xu, X, Sunil, T, Topal, S, Chu, X, Noiman, A, Barsoumian, A, Ganesan, A, Agan, B K, and Okulicz, J F
- Subjects
HIV infections ,RESPIRATORY infections ,INAPPROPRIATE prescribing (Medicine) ,HIV ,VIRAL load - Abstract
Background Inappropriate antibiotic use in acute respiratory infections (ARIs) is a major public health concern; however, data for people with human immunodeficiency virus (PWH) are limited. Methods The HIV Virtual Cohort Study is a retrospective cohort of adult Department of Defense beneficiaries. Male PWH cases (n = 2413) were matched 1:2 to controls without HIV (n = 4826) by age, gender, race/ethnicity, and beneficiary status. Acute respiratory infection encounters between 2016 and 2020 and corresponding antibiotic prescriptions were characterized as always, sometimes, or never appropriate based on International Classification of Diseases, Tenth Revision coding. Incidence of ARI encounters and antibiotic appropriateness were compared between PWH and controls. Subgroup analyses were assessed by CD4 count and viral load suppression on antiretroviral therapy. Results Mean rates of ARI encounters were similar for PWH (1066 per 1000 person-years) and controls (1010 per 1000 person-years); however, the rate was double among PWH without viral load (VL) suppression (2018 per 1000 person-years). Antibiotics were prescribed in 26% of encounters among PWH compared to 34% for controls (P ≤.01); antibiotic use was "never" appropriate in 38% of encounters with PWH and 36% in controls. Compared to controls, PWH received more sulfonamides (5.5% vs 2.7%; P =.001), and variation existed among HIV subgroups in the prescription of sulfonamides, fluoroquinolones, and β-lactams. Discussion Acute respiratory infection encounters were similar for PWH and those without HIV; however, PWH with lower CD4 counts and/or nonsuppressed VL had more frequent ARI visits. Inappropriate antibiotic use for ARIs was high in both populations, and focused interventions to improve antibiotic appropriateness for prescribers caring for PWH should be pursued. [ABSTRACT FROM AUTHOR]
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- 2023
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4. Surveillance of transcriptomes in basic military trainees with normal, febrile respiratory illness, and convalescent phenotypes
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Thach, D C, Agan, B K, Olsen, C, Diao, J, Lin, B, Gomez, J, Jesse, M, Jenkins, M, Rowley, R, Hanson, E, Tibbetts, C, Stenger, D A, and Walter, E
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- 2005
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5. Immunoglobulin G subclass levels and antibody responses to the 2009 influenza A (H1N1) monovalent vaccine among human immunodeficiency virus (HIV)-infected and HIV-uninfected adults
- Author
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Crum-Cianflone, N. F., Collins, G., Defang, G., Iverson, E., Eberly, L. E., Duplessis, C., Maguire, J., Ganesan, A., Agan, B. K., Lalani, T., Whitman, T., Brandt, C., Faix, D., Blair, P. J., and Burgess, T.
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- 2012
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6. Predicting Virological Response to HIV Treatment Over Time: A Tool for Settings With Different Definitions of Virological Response
- Author
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Revell, AD, Wang, DC, Reiss, P, van Sighem, AI, Montaner, JSG, Larder, BA, Harrigan, R, de Wit, TR, Hamers, R, Sigaloff, K, Agan, B, Marconi, V, Wegner, S, Sugiura, W, Zazzi, M, Kaiser, R, Schuelter, E, Streinu-Cercel, A, Bals, M, Alvarez-Uria, G, de Oliveira, T, Lazzari, E, Gazzard, B, Nelson, M, Pozniak, A, Mandalia, S, Smith, C, Ruiz, L, Clotet, B, Staszewski, S, Lane, HC, Julia, A, Metcalf, Rehm, CA, Perez-Elias, MJ, Vella, S, Dettorre, G, Carr, A, Norris, R, Hesse, K, Vlahakis, E, Tempelman, H, Barth, R, Wood, R, Morrow, C, Cogill, D, Hoffmann, C, Ene, L, Dragovic, G, Diaz, R, Sucupira, C, Sued, O, Cesar, C, Madero, JS, Balakrishnan, P, Saravanan, S, Cooper, D, Torti, C, Baxter, J, Monno, L, Gatell, J, Picchio, G, deBethune, MP, Emery, S, Khabo, P, and Ledwaba, L
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machine learning ,antiretroviral therapy ,HIV/AIDS ,treatment response ,data mining ,viral load - Abstract
Objective: Definitions of virological response vary from
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- 2019
7. THE EFFECTS OF MODERATE ALTITUDE ON PRESSOR HORMONE RESPONSE: 536
- Author
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Ratliff-Marquardt, K., Clem, K. L., Trappe, S. H., Agan, B., and Troup, J. P.
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- 1992
8. HEMATOLOGICAL CHANGES AS A RESULT OP TRAINING AT MODERATE ALTITUDE AMD RETURN TO SEA-LEVEL: 534
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Agan, B., Ratliff-Marquardt, K., Clem, K. L., Trappa, T., and Troup, J. P.
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- 1992
9. On the Impact of Climate Change Policies on the Clean Technology Innovation: Evidence from Patent Data Analysis
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Balcilar Mehmet and Agan Busra
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clean and dirty innovation ,climate change ,climate change mitigation policies ,copula ,environmental policy ,nonparametric dependence test ,nonparametric quantile regression ,sustainable development ,Renewable energy sources ,TJ807-830 - Abstract
This study investigates the role of environmental policies and regulations in mitigating climate change by promoting clean innovations and discouraging dirty ones. Utilizing nonparametric copula and quantile estimation techniques, along with carefully constructed innovation variables based on patents from 2000 to 2021 across 34 countries, the research examines the effects of policy interventions and external events on energy-related innovations. Findings reveal that climate policy interventions effectively promote clean innovation, particularly at higher levels, and discourage dirty innovations. Therefore, climate change policies and regulations are crucial in achieving net-zero carbon emission targets.
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- 2023
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10. An update to the HIV-TRePS system: The development and evaluation of new global and local computational models to predict HIV treatment outcomes, with or without a genotype
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Revell, A. D., Wang, D., Wood, R., Morrow, C., Tempelman, H., Hamers, R. L., Reiss, P., van Sighem, A. I., Nelson, M., Montaner, J. S. G., Lane, H. C., Larder, B. A., Harrigan, R., de Wit, T. R., Hamers, R., Sigaloff, K., Agan, B., Marconi, V., Wegner, S., Sugiura, W., Zazzi, M., Kaiser, R., Schuelter, E., Streinu-Cercel, A., Alvarez-Uria, G., Gatell, J., Lazzari, E., Gazzard, B., Pozniak, A., Mandalia, S., Webster, D., Smith, C., Ruiz, L., Clotet, B., Staszewski, S., Torti, C., Lane, C., Metcalf, J., Perez-Elias, M. -J., Vella, S., Dettorre, G., Carr, A., Norris, R., Hesse, K., Vlahakis, E., Barth, R., Hoffmann, C., Ene, L., Dragovic, G., Diaz, R., Sucupira, C., Sued, O., Cesar, C., Madero, J. S., Emery, S., Cooper, D., Baxter, J., Monno, L., Picchio, G., Debethune, M. -P., Khabo, P., Ledwaba, L., Global Health, Infectious diseases, Amsterdam institute for Infection and Immunity, Amsterdam Public Health, and Internal medicine
- Subjects
0301 basic medicine ,Microbiology (medical) ,Genotype ,Anti-HIV Agents ,030106 microbiology ,Human immunodeficiency virus (HIV) ,Antiretroviral Therapy ,HIV Infections ,Biology ,medicine.disease_cause ,Bioinformatics ,Algorithms ,Health Resources ,Humans ,Models, Statistical ,ROC Curve ,Software ,South Africa ,Treatment Outcome ,Viral Load ,Antiretroviral Therapy, Highly Active ,Computer Simulation ,03 medical and health sciences ,0302 clinical medicine ,Models ,Statistics ,medicine ,Pharmacology (medical) ,Highly Active ,030212 general & internal medicine ,Hiv treatment ,Genotyping ,Original Research ,Pharmacology ,Computational model ,Statistical ,Random forest ,Regimen ,Infectious Diseases ,Test set - Abstract
Objectives: Optimizing antiretroviral drug combination on an individual basis in resource-limited settings is challenging because of the limited availability of drugs and genotypic resistance testing. Here, we describe our latest computational models to predict treatment responses, with or without a genotype, and compare the potential utility of global and local models as a treatment tool for South Africa. Methods: Global random forest models were trained to predict the probability of virological response to therapy following virological failure using 29 574 treatment change episodes (TCEs) without a genotype, 3179 of which were from South Africa and were used to develop local models. In addition, 15 130 TCEs including genotypes were used to develop another set of models. The 'no-genotype' models were tested with an independent global test set (n = 1700) plus a subset from South Africa (n = 222). The genotype models were tested with 750 independent cases. Results: The global no-genotype models achieved area under the receiver-operating characteristic curve (AUC) values of 0.82 and 0.79 with the global and South African tests sets, respectively, and the South African models achieved AUCs of 0.70 and 0.79. The genotype models achieved an AUC of 0.84. The global no-genotype models identified more alternative, locally available regimens that were predicted to be effective for cases that failed their new regimen in the South African clinics than the local models. Both sets of models were significantly more accurate predictors of outcomes than genotyping with rules-based interpretation. Conclusions: These latest global models predict treatment responses accurately even without a genotype, out-performed the local South African models and have the potential to help optimize therapy, particularly in resource-limited settings.
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- 2016
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11. The major genetic determinants of HIV-1 control affect HLA class I peptide presentation
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Pereyra, F., Jia, X., McLaren, P.J., Telenti, A., de Bakker, P.I.W., Walker, B.D., Ripke, S., Brumme, C.J., Pulit, S.L., Carrington, M., Kadie, C.M., Carlson, J.M., Heckerman, D., Graham, R.R., Plenge, R.M., Deeks, S.G., Gianniny, L., Crawford, G., Sullivan, J., Gonzalez, E., Davies, L., Camargo, A., Moore, J.M, Beattie, N., Gupta, S., Crenshaw, A., Burtt, N.P., Guiducci, C., Gupta, N., Gao, X., Qi, Y., Yuki, Y., Piechocka-Trocha, A., Cutrell, E., Rosenberg, R., Moss, K.L., Lemay, P., O'Leary, J., Schaefer, T., Verma, P., Tóth, I., Block, B., Baker, B., Rothchild, A., Lian, J., Proudfoot, J., Alvino, D.M.L., Vine, S., Addo, M.M., Allen, T.M., Altfeld, M., Henn, M.R., Le Gall, S., Streeck, H., Haas, D.W., Kuritzkes, D.R., Robbins, G.K., Shafer, R.W., Gulick, R.M., Shikuma, C.M., Haubrich, R., Riddler, S., Sax, P.E., Daar, E.S., Ribaudo, H.J., Agan, B., Agarwal, S., Ahern, R.L., Allen, B.L., Altidor, S., Altschuler, E.L., Ambardar, S., Anastos, K., Anderson, B., Anderson, V., Andrady, U., Antoniskis, D., Bangsberg, D., Barbaro, D., Barrie, W., Bartczak, J., Barton, S., Basden, P., Basgoz, N., Bazner, S., Bellos, N.C., Benson, A.M., Berger, J., Bernard, N.F., Bernard, A.M., Birch, C., Bodner, S.J., Bolan, R.K., Boudreaux, E.T., Bradley, M., Braun, J.F., Brndjar, J.E., Brown, S.J., Brown, K., Brown, S.T., Burack, J., Bush, L.M., Cafaro, V., Campbell, O., Campbell, J., Carlson, R.H., Carmichael, J.K., Casey, K.K., Cavacuiti, C., Celestin, G., Chambers, S.T., Chez, N., Chirch, L.M., Cimoch, P.J., Cohen, D., Cohn, L.E., Conway, B., Cooper, D.A., Cornelson, B., Cox, D.T., Cristofano, M.V., Cuchural, G., Czartoski, J.L., Dahman, J.M., Daly, J.S., Davis, B.T., Davis, K., Davod, S.M., DeJesus, E., Dietz, C.A., Dunham, E., Dunn, M.E., Ellerin, T.B., Eron, J.J., Fangman, J.J.W., Farel, C.E., Ferlazzo, H., Fidler, S., Fleenor-Ford, A., Frankel, R., Freedberg, K.A., French, N.K., Fuchs, J.D., Fuller, J.D., Gaberman, J., Gallant, J.E., Gandhi, R.T., García, E., Garmon, D., Gathe, J.C., Gaultier, C.R., Gebre, W., Gilman, F.D., Gilson, I., Goepfert, P.A., Gottlieb, M.S., Goulston, C., Groger, R.K., Gurley, T.D., Haber, S., Hardwicke, R., Hardy, W.D., Harrigan, P.R., Hawkins, T.N., Heath, S., Hecht, F.M., Henry, W.K., Hladek, M., Hoffman, R.P., Horton, J.M., Hsu, R.K., Huhn, G.D., Hunt, P., Hupert, M.J., Illeman, M.L., Jaeger, H., Jellinger, R.M., John, M., Johnson, J.A., Johnson, K.L., Johnson, H., Johnson, K., Joly, J., Jordan, W.C., Kauffman, C.A., Khanlou, H., Killian, R.K., Kim, A.Y., Kim, D.D., Kinder, C.A., Kirchner, J.T., Kogelman, L., Kojic, E.M., Korthuis, P.T., Kurisu, W., Kwon, D.S., LaMar, M., Lampiris, H., Lanzafame, M., Lederman, M.M., Lee, D.M., Lee, J.M.L., Lee, M.J., Lee, E.T.Y., Lemoine, J., Levy, J.A., Llibre, J.M., Liguori, M.A., Little, S.J., Liu, A.Y., Lopez, A.J., Loutfy, M.R., Loy, D., Mohammed, D.Y., Man, A., Mansour, M.K., Marconi, V.C., Markowitz, M., Marques, R., Martin, J.N., Martin, H.L., Mayer, K.H., McElrath, M.J., McGhee, T.A., McGovern, B.H., McGowan, K., McIntyre, D., Mcleod, G.X., Menezes, P., Mesa, G., Metroka, C.E., Meyer-Olson, D., Miller, A.O., Montgomery, K., Mounzer, K.C., Nagami, E.H., Nagin, I., Nahass, R.G., Nelson, M.O., Nielsen, C., Norene, D.L., O'Connor, D.H., Ojikutu, B.O., Okulicz, J., Oladehin, O.O., Oldfield, E.C., Olender, S.A., Ostrowski, M., Owen, W.F., Pae, E., Parsonnet, J., Pavlatos, A.M., Perlmutter, A.M., Pierce, M.N., Pincus, J.M., Pisani, L., Price, L.J., Proia, L., Prokesch, R.C., Pujet, H.C., Ramgopal, M., Rathod, A., Rausch, M., Ravishankar, J., Rhame, F.S., Richards, C.S., Richman, D.D., Rodes, B., Rodriguez, M., Rose, R.C., Rosenberg, E.S., Rosenthal, D., Ross, P.E., Rubin, D.S., Rumbaugh, E., Saenz, L., Salvaggio, M.R., Sanchez, W.C., Sanjana, V.M., Santiago, S., Schmidt, W., Schuitemaker, H., Sestak, P.M., Shalit, P., Shay, W., Shirvani, V.N., Silebi, V.I., Sizemore, J.M., Skolnik, P.R., Sokol-Anderson, M., Sosman, J.M., Stabile, P., Stapleton, J.T., Starrett, S., Stein, F., Stellbrink, H-J, Sterman, F.L., Stone, V.E., Stone, D.R., Tambussi, G., Taplitz, R.A., Tedaldi, E.M., Theisen, W., Torres, R., Tosiello, L., Tremblay, C., Tribble, M.A., Trinh, P.D., Tsao, A., Ueda, P., Vaccaro, A., Valadas, E., Vanig, T.J., Vecino, I., Vega, V.M., Veikley, W., Wade, B.H., Walworth, C., Wanidworanun, C., Ward, D.J., Warner, D.A., Weber, R.D., Webster, D., Weis, S., Wheeler, D.A., White, D.J., Wilkins, E., Winston, A., Wlodaver, C.G., van't Wout, A., Wright, D.P., Yang, O.O., Yurdin, D.L., Zabukovic, B.W., Zachary, K.C., Zeeman, B., Zhao, M., Pereyra, F., Jia, X., McLaren, P.J., Telenti, A., de Bakker, P.I.W., Walker, B.D., Ripke, S., Brumme, C.J., Pulit, S.L., Carrington, M., Kadie, C.M., Carlson, J.M., Heckerman, D., Graham, R.R., Plenge, R.M., Deeks, S.G., Gianniny, L., Crawford, G., Sullivan, J., Gonzalez, E., Davies, L., Camargo, A., Moore, J.M, Beattie, N., Gupta, S., Crenshaw, A., Burtt, N.P., Guiducci, C., Gupta, N., Gao, X., Qi, Y., Yuki, Y., Piechocka-Trocha, A., Cutrell, E., Rosenberg, R., Moss, K.L., Lemay, P., O'Leary, J., Schaefer, T., Verma, P., Tóth, I., Block, B., Baker, B., Rothchild, A., Lian, J., Proudfoot, J., Alvino, D.M.L., Vine, S., Addo, M.M., Allen, T.M., Altfeld, M., Henn, M.R., Le Gall, S., Streeck, H., Haas, D.W., Kuritzkes, D.R., Robbins, G.K., Shafer, R.W., Gulick, R.M., Shikuma, C.M., Haubrich, R., Riddler, S., Sax, P.E., Daar, E.S., Ribaudo, H.J., Agan, B., Agarwal, S., Ahern, R.L., Allen, B.L., Altidor, S., Altschuler, E.L., Ambardar, S., Anastos, K., Anderson, B., Anderson, V., Andrady, U., Antoniskis, D., Bangsberg, D., Barbaro, D., Barrie, W., Bartczak, J., Barton, S., Basden, P., Basgoz, N., Bazner, S., Bellos, N.C., Benson, A.M., Berger, J., Bernard, N.F., Bernard, A.M., Birch, C., Bodner, S.J., Bolan, R.K., Boudreaux, E.T., Bradley, M., Braun, J.F., Brndjar, J.E., Brown, S.J., Brown, K., Brown, S.T., Burack, J., Bush, L.M., Cafaro, V., Campbell, O., Campbell, J., Carlson, R.H., Carmichael, J.K., Casey, K.K., Cavacuiti, C., Celestin, G., Chambers, S.T., Chez, N., Chirch, L.M., Cimoch, P.J., Cohen, D., Cohn, L.E., Conway, B., Cooper, D.A., Cornelson, B., Cox, D.T., Cristofano, M.V., Cuchural, G., Czartoski, J.L., Dahman, J.M., Daly, J.S., Davis, B.T., Davis, K., Davod, S.M., DeJesus, E., Dietz, C.A., Dunham, E., Dunn, M.E., Ellerin, T.B., Eron, J.J., Fangman, J.J.W., Farel, C.E., Ferlazzo, H., Fidler, S., Fleenor-Ford, A., Frankel, R., Freedberg, K.A., French, N.K., Fuchs, J.D., Fuller, J.D., Gaberman, J., Gallant, J.E., Gandhi, R.T., García, E., Garmon, D., Gathe, J.C., Gaultier, C.R., Gebre, W., Gilman, F.D., Gilson, I., Goepfert, P.A., Gottlieb, M.S., Goulston, C., Groger, R.K., Gurley, T.D., Haber, S., Hardwicke, R., Hardy, W.D., Harrigan, P.R., Hawkins, T.N., Heath, S., Hecht, F.M., Henry, W.K., Hladek, M., Hoffman, R.P., Horton, J.M., Hsu, R.K., Huhn, G.D., Hunt, P., Hupert, M.J., Illeman, M.L., Jaeger, H., Jellinger, R.M., John, M., Johnson, J.A., Johnson, K.L., Johnson, H., Johnson, K., Joly, J., Jordan, W.C., Kauffman, C.A., Khanlou, H., Killian, R.K., Kim, A.Y., Kim, D.D., Kinder, C.A., Kirchner, J.T., Kogelman, L., Kojic, E.M., Korthuis, P.T., Kurisu, W., Kwon, D.S., LaMar, M., Lampiris, H., Lanzafame, M., Lederman, M.M., Lee, D.M., Lee, J.M.L., Lee, M.J., Lee, E.T.Y., Lemoine, J., Levy, J.A., Llibre, J.M., Liguori, M.A., Little, S.J., Liu, A.Y., Lopez, A.J., Loutfy, M.R., Loy, D., Mohammed, D.Y., Man, A., Mansour, M.K., Marconi, V.C., Markowitz, M., Marques, R., Martin, J.N., Martin, H.L., Mayer, K.H., McElrath, M.J., McGhee, T.A., McGovern, B.H., McGowan, K., McIntyre, D., Mcleod, G.X., Menezes, P., Mesa, G., Metroka, C.E., Meyer-Olson, D., Miller, A.O., Montgomery, K., Mounzer, K.C., Nagami, E.H., Nagin, I., Nahass, R.G., Nelson, M.O., Nielsen, C., Norene, D.L., O'Connor, D.H., Ojikutu, B.O., Okulicz, J., Oladehin, O.O., Oldfield, E.C., Olender, S.A., Ostrowski, M., Owen, W.F., Pae, E., Parsonnet, J., Pavlatos, A.M., Perlmutter, A.M., Pierce, M.N., Pincus, J.M., Pisani, L., Price, L.J., Proia, L., Prokesch, R.C., Pujet, H.C., Ramgopal, M., Rathod, A., Rausch, M., Ravishankar, J., Rhame, F.S., Richards, C.S., Richman, D.D., Rodes, B., Rodriguez, M., Rose, R.C., Rosenberg, E.S., Rosenthal, D., Ross, P.E., Rubin, D.S., Rumbaugh, E., Saenz, L., Salvaggio, M.R., Sanchez, W.C., Sanjana, V.M., Santiago, S., Schmidt, W., Schuitemaker, H., Sestak, P.M., Shalit, P., Shay, W., Shirvani, V.N., Silebi, V.I., Sizemore, J.M., Skolnik, P.R., Sokol-Anderson, M., Sosman, J.M., Stabile, P., Stapleton, J.T., Starrett, S., Stein, F., Stellbrink, H-J, Sterman, F.L., Stone, V.E., Stone, D.R., Tambussi, G., Taplitz, R.A., Tedaldi, E.M., Theisen, W., Torres, R., Tosiello, L., Tremblay, C., Tribble, M.A., Trinh, P.D., Tsao, A., Ueda, P., Vaccaro, A., Valadas, E., Vanig, T.J., Vecino, I., Vega, V.M., Veikley, W., Wade, B.H., Walworth, C., Wanidworanun, C., Ward, D.J., Warner, D.A., Weber, R.D., Webster, D., Weis, S., Wheeler, D.A., White, D.J., Wilkins, E., Winston, A., Wlodaver, C.G., van't Wout, A., Wright, D.P., Yang, O.O., Yurdin, D.L., Zabukovic, B.W., Zachary, K.C., Zeeman, B., and Zhao, M.
- Abstract
Infectious and inflammatory diseases have repeatedly shown strong genetic associations within the major histocompatibility complex (MHC); however, the basis for these associations remains elusive. To define host genetic effects on the outcome of a chronic viral infection, we performed genome-wide association analysis in a multiethnic cohort of HIV-1 controllers and progressors, and we analyzed the effects of individual amino acids within the classical human leukocyte antigen (HLA) proteins. We identified >300 genome-wide significant single-nucleotide polymorphisms (SNPs) within the MHC and none elsewhere. Specific amino acids in the HLA-B peptide binding groove, as well as an independent HLA-C effect, explain the SNP associations and reconcile both protective and risk HLA alleles. These results implicate the nature of the HLA-viral peptide interaction as the major factor modulating durable control of HIV infection.
- Published
- 2010
12. The Timing of Hepatitis B Virus (HBV) Immunization Relative to Human Immunodeficiency Virus (HIV) Diagnosis and the Risk of HBV Infection Following HIV Diagnosis
- Author
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Landrum, M. L., primary, Hullsiek, K. H., additional, Chun, H. M., additional, Crum-Cianflone, N. F., additional, Ganesan, A., additional, Weintrob, A. C., additional, Barthel, R. V., additional, O'Connell, R. J., additional, and Agan, B. K., additional
- Published
- 2010
- Full Text
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13. KSHV seroprevalence, and blood and saliva viral loads in the HIV-infected population of south Texas
- Author
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Guadalupe, M, primary, Flahive, Y, additional, Westbrook, S, additional, Redding, S, additional, Bullock, D, additional, Sankar, V, additional, Agan, B, additional, Barbieri, S, additional, Yeh, CK, additional, Dang, H, additional, and Gao, SJ, additional
- Published
- 2009
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14. Reply to Pomara et al. and Valcour et al.: Age and the APOE 4/ 4 genotype in HIV-1-associated dementia
- Author
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Burt, T. D., primary, Agan, B. K., additional, Marconi, V. C., additional, He, W., additional, Kulkarni, H., additional, Mold, J. E., additional, Cavrois, M., additional, Huang, Y., additional, Mahley, R. W., additional, Dolan, M. J., additional, McCune, J. M., additional, and Ahuja, S. K., additional
- Published
- 2008
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15. Azithromcyin Might Not Protect Against Treponema pallidum Infection or Reactivation in HIV Type 1-Infected Patients
- Author
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Spooner, K., primary, Vincent, B. R., additional, Robertson, J., additional, Merritt, T., additional, Bradley, W., additional, Taylor-Means, S., additional, Crum, N., additional, Armstrong, A., additional, and Agan, B., additional
- Published
- 2005
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16. Clinical, demographic and laboratory parameters at HAART initiation associated with decreased post-HAART survival in a U.S. military prospective HIV cohort
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Lifson Alan R, Krantz Elizabeth M, Grambsch Patricia L, Macalino Grace E, Crum-Cianflone Nancy F, Ganesan Anuradha, Okulicz Jason F, Eaton Anne, Powers John H, Eberly Lynn E, and Agan Brian K
- Subjects
Highly active antiretroviral therapy ,mortality ,CD4+ lymphocyte count ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Abstract Background Although highly active antiretroviral therapy (HAART) has improved HIV survival, some patients receiving therapy are still dying. This analysis was conducted to identify factors associated with increased risk of post-HAART mortality. Methods We evaluated baseline (prior to HAART initiation) clinical, demographic and laboratory factors (including CD4+ count and HIV RNA level) for associations with subsequent mortality in 1,600 patients who began HAART in a prospective observational cohort of HIV-infected U.S. military personnel. Results Cumulative mortality was 5%, 10% and 18% at 4, 8 and 12 years post-HAART. Mortality was highest (6.23 deaths/100 person-years [PY]) in those with ≤ 50 CD4+ cells/mm3 before HAART initiation, and became progressively lower as CD4+ counts increased (0.70/100 PY with ≥ 500 CD4+ cells/mm3). In multivariate analysis, factors significantly (p < 0.05) associated with post-HAART mortality included: increasing age among those ≥ 40 years (Hazard ratio [HR] = 1.32 per 5 year increase), clinical AIDS events before HAART (HR = 1.93), ≤ 50 CD4+ cells/mm3 (vs. CD4+ ≥ 500, HR = 2.97), greater HIV RNA level (HR = 1.36 per one log10 increase), hepatitis C antibody or chronic hepatitis B (HR = 1.96), and HIV diagnosis before 1996 (HR = 2.44). Baseline CD4+ = 51-200 cells (HR = 1.74, p = 0.06), and hemoglobin < 12 gm/dL for women or < 13.5 for men (HR = 1.36, p = 0.07) were borderline significant. Conclusions Although treatment has improved HIV survival, defining those at greatest risk for death after HAART initiation, including demographic, clinical and laboratory correlates of poorer prognoses, can help identify a subset of patients for whom more intensive monitoring, counseling, and care interventions may improve clinical outcomes and post-HAART survival.
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- 2012
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17. Long-term CD4+ lymphocyte response following HAART initiation in a U.S. Military prospective cohort
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Marconi Vincent C, Dolan Matthew J, Eberly Lynn E, Krantz Elizabeth M, Lifson Alan R, Weintrob Amy C, Crum-Cianflone Nancy F, Ganesan Anuradha, Grambsch Patricia L, and Agan Brian K
- Subjects
Immunologic diseases. Allergy ,RC581-607 - Abstract
Abstract Background Among HIV-infected persons initiating highly active antiretroviral therapy (HAART), early CD4+ lymphocyte count increases are well described. However, whether CD4+ levels continue to increase or plateau after 4-6 years is controversial. Methods To address this question and identify other determinants of CD4+ response, we analyzed data for 1,846 persons from a prospective HIV military cohort study who initiated HAART, who had post-HAART CD4+ measurements, and for whom HIV seroconversion (SC) date was estimated. Results CD4+ count at HAART initiation was ≤ 200 cells/mm3 for 23%, 201-349 for 31%, 350-499 for 27%, and ≥500 for 19%. The first 6 months post-HAART, the greatest CD4+ increases (93-151 cells) occurred, with lesser increases (22-36 cells/year) through the first four years. Although CD4+ changes for the entire cohort were relatively flat thereafter, HIV viral load (VL) suppressors showed continued increases of 12-16 cells/year. In multivariate analysis adjusting for baseline CD4+ and post-HAART time interval, CD4+ responses were poorer in those with: longer time from HIV SC to HAART start, lower pre-HAART CD4+ nadir, higher pre-HAART VL, and clinical AIDS before HAART (P < 0.05). Conclusions Small but positive long-term increases in CD4+ count in virally suppressed patients were observed. CD4+ response to HAART is influenced by multiple factors including duration of preceding HIV infection, and optimized if treatment is started with virally suppressive therapy as early as possible.
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- 2011
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18. Outcomes of highly active antiretroviral therapy in the context of universal access to healthcare: the U.S. Military HIV Natural History Study
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Ganesan Anuradha, Landrum Michael L, Chun Helen, Weintrob Amy C, Grandits Greg A, Marconi Vincent C, Okulicz Jason F, Crum-Cianflone Nancy, O'Connell Robert J, Lifson Alan, Wortmann Glenn W, and Agan Brian K
- Subjects
Immunologic diseases. Allergy ,RC581-607 - Abstract
Abstract Background To examine the outcomes of highly-active antiretroviral therapy (HAART) for individuals with free access to healthcare, we evaluated 2327 patients in a cohort study composed of military personnel and beneficiaries with HIV infection who initiated HAART from 1996 to the end of 2007. Methods Outcomes analyzed were virologic suppression (VS) and failure (VF), CD4 count changes, AIDS and death. VF was defined as never suppressing or having at least one rebound event. Multivariate (MV) analyses stratified by the HAART initiation year (before or after 2000) were performed to identify risk factors associated with these outcomes. Results Among patients who started HAART after 2000, 81% had VS at 1 year (N = 1,759), 85% at 5 years (N = 1,061), and 82% at 8 years (N = 735). Five years post-HAART, the median CD4 increase was 247 cells/ml and 34% experienced VF. AIDS and mortality rates at 5 years were 2% and 0.3%, respectively. In a MV model adjusted for known risk factors associated with treatment response, being on active duty (versus retired) at HAART initiation was associated with a decreased risk of AIDS (HR = 0.6, 95% CI 0.4-1.0) and mortality (0.6, 0.3-0.9), an increased probability of CD4 increase ≥ 50% (1.2, 1.0-1.4), but was not significant for VF. Conclusions In this observational cohort, VS rates approach those described in clinical trials. Initiating HAART on active duty was associated with even better outcomes. These findings support the notion that free access to healthcare likely improves the response to HAART thereby reducing HIV-related morbidity and mortality.
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- 2010
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19. Guest editorial: health policy analysis on improving HIV PrEP implementation to help end the HIV epidemic in the U.S. military.
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Mancuso JD, Blaylock J, Robinson S, and Agan B
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- Humans, United States epidemiology, Anti-HIV Agents therapeutic use, Policy Making, Epidemics prevention & control, Centers for Disease Control and Prevention, U.S. organization & administration, Male, HIV Infections prevention & control, HIV Infections epidemiology, Pre-Exposure Prophylaxis methods, Military Personnel statistics & numerical data, Health Policy
- Abstract
Use of HIV pre-exposure prophylaxis (PrEP) among U.S. military service members at high risk for HIV infection remains suboptimal, resulting in preventable new HIV infections and decreased medical readiness among service members. PrEP coverage should be increased to the greatest extent possible to prevent HIV infection and support the Military Health System (MHS) quadruple aim. This policy analysis employed the Centers for Disease Control and Prevention (CDC)'s Policy Analytical Framework to develop several policy options based upon the evidence summary and interventions described. Evaluation criteria based on the CDC's Policy Analytical Framework incorporated all elements of the Military Health System (MHS)'s quadruple aim, including impact on population health and readiness, impact on the experience of care, and value in terms of cost-effectiveness. An additional criterion of feasibility was also added to account for cultural, societal, and political factors influencing this policy decision. This policy analysis suggests that HIV PrEP coverage in the MHS remains suboptimal, while several available interventions could result in substantial increases in PrEP coverage that would, in turn, result in further reductions in new service member HIV infections and increased medical readiness.
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- 2024
20. Sustainable development through green transition in EU countries: New evidence from panel quantile regression.
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Agan B
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- Economic Development, Urbanization, European Union, Sustainable Development, Carbon Dioxide analysis
- Abstract
Sustainable development addresses global challenges by promoting practices that balance economic, social, and environmental considerations. Key factors include the shifting to green energy and the integrating of green technology in the sustainable development process. This study investigates the heterogenous effects of green technology development, green energy, R&D expenditures, FDI, economic growth, and urbanization on CO
2 emissions in 25 European Union (EU) countries using panel quantile regression over the period 2000-2021. The results, based on panel quantile regression, indicate that green energy decreases CO2 emissions from the 10th to the 90th quantiles, while green technology development increases CO2 emissions at the lower quantiles (10th to 60th) and then turns negative. The robustness of the fixed effect model also confirms the findings of the study. Additionally, panel causality tests indicate no causal link between green technology development and CO2 emissions, but there is bidirectional causality between green energy and CO2 emissions. Therefore, the findings highlight that policymakers should thoroughly evaluate measures and strategies to encourage the development of green technologies and green energy sources to reduce high levels of CO2 emissions. One strategy is to provide financial aid and support technological advances to produce green energy at reduced costs., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Ltd. All rights reserved.)- Published
- 2024
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21. Antigenic cartography using hamster sera identifies SARS-CoV-2 JN.1 evasion seen in human XBB.1.5 booster sera.
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Wang W, Bhushan GL, Paz S, Stauft CB, Selvaraj P, Goguet E, Bishop-Lilly KA, Subramanian R, Vassell R, Lusvarghi S, Cong Y, Agan B, Richard SA, Epsi NJ, Fries A, Fung CK, Conte MA, Holbrook MR, Wang TT, Burgess TH, Mitre E, Pollett SD, Katzelnick LC, and Weiss CD
- Abstract
Antigenic assessments of SARS-CoV-2 variants inform decisions to update COVID-19 vaccines. Primary infection sera are often used for assessments, but such sera are rare due to population immunity from SARS-CoV-2 infections and COVID-19 vaccinations. Here, we show that neutralization titers and breadth of matched human and hamster pre-Omicron variant primary infection sera correlate well and generate similar antigenic maps. The hamster antigenic map shows modest antigenic drift among XBB sub-lineage variants, with JN.1 and BA.4/BA.5 variants within the XBB cluster, but with five to six-fold antigenic differences between these variants and XBB.1.5. Compared to sera following only ancestral or bivalent COVID-19 vaccinations, or with post-vaccination infections, XBB.1.5 booster sera had the broadest neutralization against XBB sub-lineage variants, although a five-fold titer difference was still observed between JN.1 and XBB.1.5 variants. These findings suggest that antibody coverage of antigenically divergent JN.1 could be improved with a matched vaccine antigen., Competing Interests: Competing interests S. D. P. and T. H. B report that the Uniformed Services University (USU) Infectious Diseases Clinical Research Program (IDCRP), a US Department of Defense institution, and the Henry M. Jackson Foundation (HJF) were funded under a Cooperative Research and Development Agreement to conduct an unrelated phase III COVID-19 monoclonal antibody immunoprophylaxis trial sponsored by AstraZeneca. The HJF, in support of the USU IDCRP, was funded by the Department of Defense Joint Program Executive Office for Chemical, Biological, Radiological, and Nuclear Defense to augment the conduct of an unrelated phase III vaccine trial sponsored by AstraZeneca. Both trials were part of the US Government COVID-19 response. Neither is related to the work presented here. The contents of this publication are the sole responsibility of the author (s) and do not necessarily reflect the views, opinions, or policies of Uniformed Services University of the Health Sciences (USUHS); the Department of Defense (DoD); the Departments of the Army, Navy, or Air Force; the Defense Health Agency; the Henry M. Jackson Foundation for the Advancement of Military Medicine Inc; the National Institutes of Health; the Department of Energy, ORISE; the US Food and Drug Administration, or the Department of Health and Human Services. Mention of trade names, commercial products, or organizations does not imply endorsement by the U.S. Government. The investigators have adhered to the policies for protection of human subjects as prescribed in 45 CFR 46. K.B-L, A.F., T.H.B, E.M., C.B.S., S.L., P.S., R.V., C.D.W, T.T.W, W.W., Y.C., M.R.H., and L.C.K. are employees of the US Government. This work was prepared as part of their official duties. Title 17 U.S.C. §105 provides that “Copyright protection under this title is not available for any work of the United States Government.” Title 17 U.S.C. §101 defines a US Government work as a work prepared by a military service member or employee of the US Government as part of that person’s official duties.
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- 2024
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22. An Analysis of SARS-CoV-2 Vaccine Reactogenicity: Variation by Type, Dose, and History, Severity, and Recency of Prior SARS-CoV-2 Infection.
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Scher AI, Berjohn CM, Byrne C, Colombo RE, Colombo CJ, Edwards MS, Ewers EC, Ganesan A, Jones M, Larson DT, Libraty D, Lindholm DA, Madar CS, Maldonado CJ, Maves RC, Mende K, Richard SA, Rozman JS, Rusiecki J, Smith A, Simons M, Tribble D, Agan B, Burgess TH, and Pollett SD
- Abstract
Background: There is limited information on the functional consequences of coronavirus disease 2019 (COVID-19) vaccine side effects. To support patient counseling and public health messaging, we describe the risk and correlates of COVID-19 vaccine side effects sufficient to prevent work or usual activities and/or lead to medical care ("severe" side effects)., Methods: The EPICC study is a longitudinal cohort study of Military Healthcare System beneficiaries including active duty service members, dependents, and retirees. We studied 2789 adults who were vaccinated between December 2020 and December 2021., Results: Severe side effects were most common with the Ad26.COV2.S (Janssen/Johnson and Johnson) vaccine, followed by mRNA-1273 (Moderna) then BNT162b2 (Pfizer/BioNTech). Severe side effects were more common after the second than first dose (11% vs 4%; P < .001). First (but not second) dose side effects were more common in those with vs without prior severe acute respiratory syndrome coronavirus 2 infection (9% vs 2%; adjusted odds ratio [aOR], 5.84; 95% CI, 3.8-9.1), particularly if the prior illness was severe or critical (13% vs 2%; aOR, 10.57; 95% CI, 5.5-20.1) or resulted in inpatient care (17% vs 2%; aOR, 19.3; 95% CI, 5.1-72.5). Side effects were more common in women than men but not otherwise related to demographic factors., Conclusions: Vaccine side effects sufficient to prevent usual activities were more common after the second than first dose and varied by vaccine type. First dose side effects were more likely in those with a history of COVID-19-particularly if that prior illness was severe or associated with inpatient care. These findings may assist clinicians and patients by providing a real-world evaluation of the likelihood of experiencing impactful postvaccine symptoms., (Published by Oxford University Press on behalf of Infectious Diseases Society of America 2022.This work is written by (a) US Government employee(s) and is in the public domain in the US.)
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- 2022
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23. Patients with HIV-associated cancers have evidence of increased T cell dysfunction and exhaustion prior to cancer diagnosis.
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Chaudhary O, Trotta D, Wang K, Wang X, Chu X, Bradley C, Okulicz J, Maves RC, Kronmann K, Schofield CM, Blaylock JM, Deng Y, Schalper KA, Kaech SM, Agan B, Ganesan A, and Emu B
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- Biomarkers, Case-Control Studies, Humans, Programmed Cell Death 1 Receptor metabolism, HIV Infections complications, HIV-1 metabolism, Neoplasms diagnosis
- Abstract
Background: People living with HIV (PLWH) have increased risk of developing cancers after controlling traditional risk factors and viral suppression. This study explores whether T cells can serve as a marker of risk for cancer among HIV-infected virally suppressed patients., Methods: A nested case control study design was pursued with 17 cancer cases and 73 controls (PLWH without cancer)ouidentified among the US Military HIV Natural History Study cohort, and were matched for CD4 + count, duration of HIV infection, and viral suppression. Cells were obtained from PLWH on an average of 12 months prior to clinical cancer diagnosis. Expression of inhibitory receptors (PD-1, CD160, CD244, Lag-3, and TIGIT), and transcription factors (T-bet, Eomesodermin, TCF-1, and (TOX) was measured on CD8 +T cells from that early time point., Results: We found that cases have increased expression of PD-1 +CD160+CD244+ ('triple positive') on total and effector CD8 + compared with controls (p=0.02). Furthermore, CD8 +T cells that were both PD-1 +CD160+CD244+ and T-bet
dim Eomeshi were significantly elevated in cases at time point before cancer detection, compared with controls without cancer (p=0.008). This was driven by the finding that transcriptional factor profile of cells was altered in cancers compared with controls. Triple-positive cells were noted to retain the ability for cytotoxicity and cytokine secretion mediated by expression of CD160 and PD-1, respectively. However, triple-positive cells demonstrated high expression of TOX-1, a transcription factor associated with T cell exhaustion., Conclusion: In conclusion, we have found a subset of dysfunctional CD8 +T cells, PD-1 +CD160+CD244+T-betdim Eomeshi , that is elevated 12 months before cancer diagnosis, suggesting that peripheral T cell alterations may serve as a biomarker of increased cancer risk among PLWH., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)- Published
- 2022
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24. Association between depression and HIV treatment outcomes in a US military population with HIV infection.
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Carney B, Daniels C, Xu X, Sunil T, Ganesan A, Blaylock JM, Kronmann KC, Schofield C, Lalani T, Agan B, and Okulicz JF
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- CD4 Lymphocyte Count, Child, Depression epidemiology, Humans, Male, Medication Adherence, Treatment Outcome, Viral Load, HIV Infections complications, HIV Infections drug therapy, HIV Infections epidemiology, Military Personnel
- Abstract
Background: Depression is common among HIV-infected individuals and may contribute to suboptimal adherence to antiretroviral therapy (ART) and subsequent inability to attain viral load (VL) suppression. We evaluated associations between depression, self-reported adherence, and longitudinal HIV treatment outcomes in US Military HIV Natural History Study (NHS) participants with and without depression., Methods: Male NHS participants with available ICD-9 data for mental health diagnoses, Center for Epidemiological Studies Depression (CES-D) measures, and self-reported adherence (SRA) were included. ART use was defined as ART initiation between 2006 and 2010, with follow-up through 2015. SRA was defined as taking 95% of ART doses and continuous ART was defined as longitudinal ART use with gaps < 30 days. Continuous VL suppression was defined as maintaining VLs < 200 c/mL on ART. To analyse the association between depression and HIV treatment outcomes, latent class analysis was used to create classes of depression trajectories: low depression (LD), recent onset depression (ROD) and high Depression (HD)., Results: Participants had a mean age of 32 (± 8.3) years at HIV diagnosis, and similar proportions were Caucasian (44.3%) or African American (40.8%). Overall, older participants at HIV diagnosis had greater odds of having 95% self-reported adherence (OR 1.06, 95% CI 1.02-1.12), and African Americans had lower odds (OR 0.41, 95% CI 0.22-0.76) compared to Caucasians (OR 1.49, 95% CI 0.52-4.28). However, there was no difference in SRA by depression trajectory. Participants with HD had an increased odds of taking ART continuously (OR 1.75, 95% CI 0.99-3.09), and those with ROD had significantly higher odds of virologic failure (OR 0.58, 95% CI 0.38-0.91)., Conclusions: Although there was no observed association between depression and SRA, participants with ROD had lower odds of attaining the HIV treatment goal of VL suppression. Continued efforts to identify and aggressively manage mental health disorders is important to success along the HIV care continuum.
- Published
- 2021
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25. Randomized, Double-Blind, Placebo-Controlled Study on Decolonization Procedures for Methicillin-Resistant Staphylococcus aureus (MRSA) among HIV-Infected Adults.
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Weintrob A, Bebu I, Agan B, Diem A, Johnson E, Lalani T, Wang X, Bavaro M, Ellis M, Mende K, and Crum-Cianflone N
- Subjects
- Adult, Double-Blind Method, Female, Hexachlorophene administration & dosage, Humans, Male, Methicillin-Resistant Staphylococcus aureus virology, Middle Aged, Mupirocin administration & dosage, Prospective Studies, Staphylococcal Infections microbiology, Staphylococcal Infections virology, Anti-Bacterial Agents administration & dosage, HIV Infections microbiology, Methicillin-Resistant Staphylococcus aureus drug effects, Staphylococcal Infections drug therapy
- Abstract
Background: HIV-infected persons have increased risk of MRSA colonization and skin and soft-tissue infections (SSTI). However, no large clinical trial has examined the utility of decolonization procedures in reducing MRSA colonization or infection among community-dwelling HIV-infected persons., Methods: 550 HIV-infected adults at four geographically diverse US military HIV clinics were prospectively screened for MRSA colonization at five body locations every 6 months during a 2-year period. Those colonized were randomized in a double-blind fashion to nasal mupirocin (Bactroban) twice daily and hexachlorophene (pHisoHex) soaps daily for 7 days compared to placeboes similar in appearance but without specific antibacterial activity. The primary endpoint was MRSA colonization at 6-months post-randomization; secondary endpoints were time to MRSA clearance, subsequent MRSA infections/SSTI, and predictors for MRSA clearance at the 6-month time point., Results: Forty-nine (9%) HIV-infected persons were MRSA colonized and randomized. Among those with 6-month colonization data (80% of those randomized), 67% were negative for MRSA colonization in both groups (p = 1.0). Analyses accounting for missing 6-month data showed no significant differences could have been achieved. In the multivariate adjusted models, randomization group was not associated with 6-month MRSA clearance. The median time to MRSA clearance was similar in the treatment vs. placebo groups (1.4 vs. 1.8 months, p = 0.35). There was no difference on subsequent development of MRSA infections/SSTI (p = 0.89). In a multivariable model, treatment group, demographics, and HIV-specific factors were not predictive of MRSA clearance at the 6-month time point., Conclusion: A one-week decolonization procedure had no effect on MRSA colonization at the 6-month time point or subsequent infection rates among community-dwelling HIV-infected persons. More aggressive or novel interventions may be needed to reduce the burden of MRSA in this population., Trial Registration: ClinicalTrials.gov NCT00631566.
- Published
- 2015
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26. Cumulative viral load and virologic decay patterns after antiretroviral therapy in HIV-infected subjects influence CD4 recovery and AIDS.
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Marconi VC, Grandits G, Okulicz JF, Wortmann G, Ganesan A, Crum-Cianflone N, Polis M, Landrum M, Dolan MJ, Ahuja SK, Agan B, and Kulkarni H
- Subjects
- Adult, CD4 Lymphocyte Count, CD4-Positive T-Lymphocytes virology, Cohort Studies, Female, HIV Infections immunology, HIV-1, Humans, Male, Prospective Studies, Serologic Tests, Treatment Outcome, Viral Load, Antiretroviral Therapy, Highly Active, CD4-Positive T-Lymphocytes drug effects, CD4-Positive T-Lymphocytes immunology, HIV Infections drug therapy, HIV Infections virology
- Abstract
Background: The impact of viral load (VL) decay and cumulative VL on CD4 recovery and AIDS after highly-active antiretroviral therapy (HAART) is unknown., Methods and Findings: Three virologic kinetic parameters (first year and overall exponential VL decay constants, and first year VL slope) and cumulative VL during HAART were estimated for 2,278 patients who initiated HAART in the U.S. Military HIV Natural History Study. CD4 and VL trajectories were computed using linear and nonlinear Generalized Estimating Equations models. Multivariate Poisson and linear regression models were used to determine associations of VL parameters with CD4 recovery, adjusted for factors known to correlate with immune recovery. Cumulative VL higher than the sample median was independently associated with an increased risk of AIDS (relative risk 2.38, 95% confidence interval 1.56-3.62, p<0.001). Among patients with VL suppression, first year VL decay and slope were independent predictors of early CD4 recovery (p = 0.001) and overall gain (p<0.05). Despite VL suppression, those with slow decay during the first year of HAART as well as during the entire therapy period (overall), in general, gained less CD4 cells compared to the other subjects (133 vs. 195.4 cells/µL; p = 0.001) even after adjusting for potential confounders., Conclusions: In a cohort with free access to healthcare, independent of established predictors of AIDS and CD4 recovery during HAART, cumulative VL and virologic decay patterns were associated with AIDS and distinct aspects of CD4 reconstitution.
- Published
- 2011
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27. The major genetic determinants of HIV-1 control affect HLA class I peptide presentation.
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Pereyra F, Jia X, McLaren PJ, Telenti A, de Bakker PI, Walker BD, Ripke S, Brumme CJ, Pulit SL, Carrington M, Kadie CM, Carlson JM, Heckerman D, Graham RR, Plenge RM, Deeks SG, Gianniny L, Crawford G, Sullivan J, Gonzalez E, Davies L, Camargo A, Moore JM, Beattie N, Gupta S, Crenshaw A, Burtt NP, Guiducci C, Gupta N, Gao X, Qi Y, Yuki Y, Piechocka-Trocha A, Cutrell E, Rosenberg R, Moss KL, Lemay P, O'Leary J, Schaefer T, Verma P, Toth I, Block B, Baker B, Rothchild A, Lian J, Proudfoot J, Alvino DM, Vine S, Addo MM, Allen TM, Altfeld M, Henn MR, Le Gall S, Streeck H, Haas DW, Kuritzkes DR, Robbins GK, Shafer RW, Gulick RM, Shikuma CM, Haubrich R, Riddler S, Sax PE, Daar ES, Ribaudo HJ, Agan B, Agarwal S, Ahern RL, Allen BL, Altidor S, Altschuler EL, Ambardar S, Anastos K, Anderson B, Anderson V, Andrady U, Antoniskis D, Bangsberg D, Barbaro D, Barrie W, Bartczak J, Barton S, Basden P, Basgoz N, Bazner S, Bellos NC, Benson AM, Berger J, Bernard NF, Bernard AM, Birch C, Bodner SJ, Bolan RK, Boudreaux ET, Bradley M, Braun JF, Brndjar JE, Brown SJ, Brown K, Brown ST, Burack J, Bush LM, Cafaro V, Campbell O, Campbell J, Carlson RH, Carmichael JK, Casey KK, Cavacuiti C, Celestin G, Chambers ST, Chez N, Chirch LM, Cimoch PJ, Cohen D, Cohn LE, Conway B, Cooper DA, Cornelson B, Cox DT, Cristofano MV, Cuchural G Jr, Czartoski JL, Dahman JM, Daly JS, Davis BT, Davis K, Davod SM, DeJesus E, Dietz CA, Dunham E, Dunn ME, Ellerin TB, Eron JJ, Fangman JJ, Farel CE, Ferlazzo H, Fidler S, Fleenor-Ford A, Frankel R, Freedberg KA, French NK, Fuchs JD, Fuller JD, Gaberman J, Gallant JE, Gandhi RT, Garcia E, Garmon D, Gathe JC Jr, Gaultier CR, Gebre W, Gilman FD, Gilson I, Goepfert PA, Gottlieb MS, Goulston C, Groger RK, Gurley TD, Haber S, Hardwicke R, Hardy WD, Harrigan PR, Hawkins TN, Heath S, Hecht FM, Henry WK, Hladek M, Hoffman RP, Horton JM, Hsu RK, Huhn GD, Hunt P, Hupert MJ, Illeman ML, Jaeger H, Jellinger RM, John M, Johnson JA, Johnson KL, Johnson H, Johnson K, Joly J, Jordan WC, Kauffman CA, Khanlou H, Killian RK, Kim AY, Kim DD, Kinder CA, Kirchner JT, Kogelman L, Kojic EM, Korthuis PT, Kurisu W, Kwon DS, LaMar M, Lampiris H, Lanzafame M, Lederman MM, Lee DM, Lee JM, Lee MJ, Lee ET, Lemoine J, Levy JA, Llibre JM, Liguori MA, Little SJ, Liu AY, Lopez AJ, Loutfy MR, Loy D, Mohammed DY, Man A, Mansour MK, Marconi VC, Markowitz M, Marques R, Martin JN, Martin HL Jr, Mayer KH, McElrath MJ, McGhee TA, McGovern BH, McGowan K, McIntyre D, Mcleod GX, Menezes P, Mesa G, Metroka CE, Meyer-Olson D, Miller AO, Montgomery K, Mounzer KC, Nagami EH, Nagin I, Nahass RG, Nelson MO, Nielsen C, Norene DL, O'Connor DH, Ojikutu BO, Okulicz J, Oladehin OO, Oldfield EC 3rd, Olender SA, Ostrowski M, Owen WF Jr, Pae E, Parsonnet J, Pavlatos AM, Perlmutter AM, Pierce MN, Pincus JM, Pisani L, Price LJ, Proia L, Prokesch RC, Pujet HC, Ramgopal M, Rathod A, Rausch M, Ravishankar J, Rhame FS, Richards CS, Richman DD, Rodes B, Rodriguez M, Rose RC 3rd, Rosenberg ES, Rosenthal D, Ross PE, Rubin DS, Rumbaugh E, Saenz L, Salvaggio MR, Sanchez WC, Sanjana VM, Santiago S, Schmidt W, Schuitemaker H, Sestak PM, Shalit P, Shay W, Shirvani VN, Silebi VI, Sizemore JM Jr, Skolnik PR, Sokol-Anderson M, Sosman JM, Stabile P, Stapleton JT, Starrett S, Stein F, Stellbrink HJ, Sterman FL, Stone VE, Stone DR, Tambussi G, Taplitz RA, Tedaldi EM, Telenti A, Theisen W, Torres R, Tosiello L, Tremblay C, Tribble MA, Trinh PD, Tsao A, Ueda P, Vaccaro A, Valadas E, Vanig TJ, Vecino I, Vega VM, Veikley W, Wade BH, Walworth C, Wanidworanun C, Ward DJ, Warner DA, Weber RD, Webster D, Weis S, Wheeler DA, White DJ, Wilkins E, Winston A, Wlodaver CG, van't Wout A, Wright DP, Yang OO, Yurdin DL, Zabukovic BW, Zachary KC, Zeeman B, and Zhao M
- Subjects
- Black or African American genetics, Alleles, Amino Acids physiology, CD8-Positive T-Lymphocytes immunology, Cohort Studies, Disease Progression, Genome-Wide Association Study, HIV Antigens immunology, HIV Infections ethnology, HIV Infections virology, HIV Long-Term Survivors, HLA-A Antigens chemistry, HLA-A Antigens genetics, HLA-A Antigens immunology, HLA-A Antigens metabolism, HLA-B Antigens chemistry, HLA-B Antigens immunology, HLA-B Antigens metabolism, HLA-C Antigens chemistry, HLA-C Antigens genetics, HLA-C Antigens immunology, HLA-C Antigens metabolism, Haplotypes, Hispanic or Latino genetics, Humans, Immunity, Innate, Logistic Models, Models, Molecular, Polymorphism, Single Nucleotide, Protein Conformation, Viral Load, White People genetics, Antigen Presentation, Genes, MHC Class I, HIV Infections genetics, HIV Infections immunology, HIV-1 immunology, HLA-B Antigens genetics
- Abstract
Infectious and inflammatory diseases have repeatedly shown strong genetic associations within the major histocompatibility complex (MHC); however, the basis for these associations remains elusive. To define host genetic effects on the outcome of a chronic viral infection, we performed genome-wide association analysis in a multiethnic cohort of HIV-1 controllers and progressors, and we analyzed the effects of individual amino acids within the classical human leukocyte antigen (HLA) proteins. We identified >300 genome-wide significant single-nucleotide polymorphisms (SNPs) within the MHC and none elsewhere. Specific amino acids in the HLA-B peptide binding groove, as well as an independent HLA-C effect, explain the SNP associations and reconcile both protective and risk HLA alleles. These results implicate the nature of the HLA-viral peptide interaction as the major factor modulating durable control of HIV infection.
- Published
- 2010
- Full Text
- View/download PDF
28. Trends and causes of hospitalizations among HIV-infected persons during the late HAART era: what is the impact of CD4 counts and HAART use?
- Author
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Crum-Cianflone NF, Grandits G, Echols S, Ganesan A, Landrum M, Weintrob A, Barthel R, and Agan B
- Subjects
- Adult, Age Factors, Female, HIV Infections drug therapy, HIV Infections immunology, Hospitalization statistics & numerical data, Humans, Male, Multivariate Analysis, Poisson Distribution, Prospective Studies, Risk Factors, Antiretroviral Therapy, Highly Active statistics & numerical data, CD4 Lymphocyte Count, HIV Infections epidemiology, Hospitalization trends, Military Personnel
- Abstract
Background: Declining rates of hospitalizations occurred shortly after the availability of highly active antiretroviral therapy (HAART). However, trends in the late HAART era are less defined, and data on the impact of CD4 counts and HAART use on hospitalizations are needed., Methods: We evaluated hospitalization rates from 1999 to 2007 among HIV-infected persons enrolled in a large US military cohort. Poisson regression was used to compare hospitalization rates per year and to examine factors associated with hospitalization., Results: Of the 2429 participants, 822 (34%) were hospitalized at least once with 1770 separate hospital admissions. The rate of hospitalizations (137 per 1000 person-years) was constant over the study period [relative rate (RR) 1.00 per year change, 95% confidence interval: 0.98 to 1.02]. The hospitalization rates due to skin infections (RR: 1.50, P = 0.02), methicillin-resistant staphylococcus aureus (RR: 3.19, P = 0.03), liver disease (RR: 1.71, P = 0.04), and surgery (RR: 1.17, P = 0.04) significantly increased over time, whereas psychological causes (RR: 0.60, P < 0.01) and trauma (RR: 0.54, P < 0.01) decreased. In the multivariate model, higher nadir CD4 (RR: 0.92 per 50 cells, P < 0.01) and higher proximal CD4 counts (RR of 0.71 for 350-499 vs. <350 cells/mm(3) and RR 0.67 for > or = 500 vs. 350 cells/mm(3), both P < 0.01) were associated with lower risk of hospitalization. Risk of hospitalization was constant for proximal CD4 levels above 350 (RR: 0.94 P = 0.51, CD4 > or = 500 vs. 350-499). HAART was associated with a reduced risk of hospitalization among those with a CD4 <350 (RR: 0.72, P = 0.02) but had smaller estimated and nonsignificant effects at higher CD4 levels (RR: 0.81, P = 0.33 and 1.06, P = 0.71 for CD4 350-499 and > or = 500, respectively)., Conclusions: Hospitalizations continue to occur at high rates among HIV-infected persons with increasing rates for skin infections, methicillin-resistant staphylococcus aureus, liver disease, and surgeries. Factors associated with a reduced risk of hospitalization include CD4 counts >350 cells per cubic millimeter and HAART use among patients with a CD4 count <350 cells per cubic millimeter.
- Published
- 2010
- Full Text
- View/download PDF
29. The impact of nelfinavir exposure on cancer development among a large cohort of HIV-infected patients.
- Author
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Crum-Cianflone NF, Hullsiek KH, Marconi V, Weintrob A, Ganesan A, Barthel RV, Fraser S, Roediger MP, Agan B, and Wegner S
- Subjects
- Adult, Antiretroviral Therapy, Highly Active, Cohort Studies, Female, HIV Infections complications, Humans, Male, Neoplasms etiology, Neoplasms prevention & control, Proportional Hazards Models, Retrospective Studies, Risk, Anticarcinogenic Agents administration & dosage, HIV Infections drug therapy, HIV Protease Inhibitors administration & dosage, Nelfinavir administration & dosage, Neoplasms epidemiology
- Abstract
Background: Preclinical studies suggest that the antiretroviral agent, nelfinavir mesylate (NFV), may have antineoplastic properties. The relationship between NFV and cancer incidence among HIV-infected patients is unknown., Methods: We evaluated the impact of NFV on cancer development in a large cohort of HIV-infected persons with 108 cancer events during 13,421 person-years of follow-up. Using multivariate time-updated Cox proportional hazard models, the risk of cancer among those receiving NFV were compared to those on non-NFV antiretroviral regimens., Results: The risk of cancer among those receiving NFV was similar to those on non-NFV antiretroviral regimens (hazard ratio 1.0, 95% confidence interval 0.5, 1.7, P = 0.90). We also examined AIDS-defining and non-AIDS-defining cancers separately and found no significant associations between NFV use and cancer risk. Antiretroviral use, with or without a protease inhibitor (PI) component, was associated with a reduced risk of AIDS-defining cancers compared with no antiretroviral therapy; however, the risk of cancer was the same among those using PI or PI-sparing regimens., Discussion: Despite reports that NFV may have tumoricidal activity, we found no significant relationship between NFV or PI use compared with other antiretrovirals and the risk of developing cancer among a large cohort of HIV-infected persons.
- Published
- 2009
- Full Text
- View/download PDF
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