| Title |
Evaluation of Clinical and Immunological Markers for Predicting Virological Failure in a HIV/AIDS Treatment Cohort in Busia, Kenya
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049834 |
| Pubmed ID | |
| Authors |
Cecilia Ferreyra, Oliver Yun, Nell Eisenberg, Elena Alonso, Ashimosi S. Khamadi, Matilu Mwau, Martha Kihara Mugendi, Ana Alvarez, Elena Velilla, Laurence Flevaud, Mireia Arnedo, David Dalmau, Paul Roddy, Andrea Bernasconi, Pedro Pablo Palma |
| Abstract |
In resource-limited settings where viral load (VL) monitoring is scarce or unavailable, clinicians must use immunological and clinical criteria to define HIV virological treatment failure. This study examined the performance of World Health Organization (WHO) clinical and immunological failure criteria in predicting virological failure in HIV patients receiving antiretroviral therapy (ART). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 1 | <1% |
| Kenya | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 112 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 24% |
| Researcher | 23 | 20% |
| Student > Postgraduate | 9 | 8% |
| Lecturer | 8 | 7% |
| Student > Ph. D. Student | 7 | 6% |
| Other | 21 | 18% |
| Unknown | 21 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 57 | 49% |
| Agricultural and Biological Sciences | 8 | 7% |
| Nursing and Health Professions | 6 | 5% |
| Immunology and Microbiology | 6 | 5% |
| Social Sciences | 5 | 4% |
| Other | 12 | 10% |
| Unknown | 23 | 20% |