Title |
Contribution of Genetic Background, Traditional Risk Factors, and HIV-Related Factors to Coronary Artery Disease Events in HIV-Positive Persons
|
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Published in |
Clinical Infectious Diseases, March 2013
|
DOI | 10.1093/cid/cit196 |
Pubmed ID | |
Authors |
Margalida Rotger, Tracy R. Glass, Thomas Junier, Jens Lundgren, James D. Neaton, Estella S. Poloni, Angélique B. van 't Wout, Rubin Lubomirov, Sara Colombo, Raquel Martinez, Andri Rauch, Huldrych F. Günthard, Jacqueline Neuhaus, Deborah Wentworth, Danielle van Manen, Luuk A. Gras, Hanneke Schuitemaker, Laura Albini, Carlo Torti, Lisa P. Jacobson, Xiuhong Li, Lawrence A. Kingsley, Federica Carli, Giovanni Guaraldi, Emily S. Ford, Irini Sereti, Colleen Hadigan, Esteban Martinez, Mireia Arnedo, Lander Egaña-Gorroño, Jose M. Gatell, Matthew Law, Courtney Bendall, Kathy Petoumenos, Jürgen Rockstroh, Jan-Christian Wasmuth, Kabeya Kabamba, Marc Delforge, Stephane De Wit, Florian Berger, Stefan Mauss, Mariana de Paz Sierra, Marcelo Losso, Waldo H. Belloso, Maria Leyes, Antoni Campins, Annalisa Mondi, Andrea De Luca, Ignacio Bernardino, Mónica Barriuso-Iglesias, Ana Torrecilla-Rodriguez, Juan Gonzalez-Garcia, José R. Arribas, Iuri Fanti, Silvia Gel, Jordi Puig, Eugenia Negredo, Mar Gutierrez, Pere Domingo, Julia Fischer, Gerd Fätkenheuer, Carlos Alonso-Villaverde, Alan Macken, James Woo, Tara McGinty, Patrick Mallon, Alexandra Mangili, Sally Skinner, Christine A. Wanke, Peter Reiss, Rainer Weber, Heiner C. Bucher, Jacques Fellay, Amalio Telenti, Philip E. Tarr |
Abstract |
Persons infected with human immunodeficiency virus (HIV) have increased rates of coronary artery disease (CAD). The relative contribution of genetic background, HIV-related factors, antiretroviral medications, and traditional risk factors to CAD has not been fully evaluated in the setting of HIV infection. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 20% |
United States | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 80% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Netherlands | 1 | <1% |
Germany | 1 | <1% |
Japan | 1 | <1% |
Spain | 1 | <1% |
Unknown | 117 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 15% |
Student > Master | 16 | 13% |
Student > Ph. D. Student | 14 | 11% |
Professor > Associate Professor | 12 | 10% |
Student > Doctoral Student | 9 | 7% |
Other | 28 | 23% |
Unknown | 26 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 58 | 47% |
Biochemistry, Genetics and Molecular Biology | 10 | 8% |
Immunology and Microbiology | 6 | 5% |
Agricultural and Biological Sciences | 4 | 3% |
Nursing and Health Professions | 3 | 2% |
Other | 13 | 10% |
Unknown | 30 | 24% |