| Title |
Causes of mortality among tuberculosis and HIV co-infected patients in Chiang Rai, Northern Thailand
|
|---|---|
| Published in |
HIV/AIDS (Auckland, N.Z.), October 2012
|
| DOI | 10.2147/hiv.s33535 |
| Pubmed ID | |
| Authors |
Pacharee Kantipong, Kuniko Murakami, Saiyud Moolphate, Myo Nyein Aung, Norio Yamada |
| Abstract |
The case fatality rate in patients with tuberculosis (TB) associated with human immunodeficiency virus (HIV) has been particularly high in Chiang Rai, Northern Thailand. It was almost 50% before the introduction of antiretroviral therapy in the last decade, and was still at 28% in 2008, despite expanding access to antiretroviral therapy. Reviewing the causes of death may lead to further understanding of the timeline and natural history of TB-HIV coinfection, and in so doing help to devise an effective prevention strategy in Chiang Rai. In this study, we aimed to investigate the distribution of confirmed causes of death in patients coinfected with TB and HIV in Chiang Rai, describe the causes of such deaths along the timeline of TB treatment, and identify predictors of each cause of death. |
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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 1% |
| Peru | 1 | 1% |
| South Africa | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 84 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 19 | 22% |
| Student > Bachelor | 18 | 20% |
| Student > Postgraduate | 8 | 9% |
| Other | 6 | 7% |
| Researcher | 6 | 7% |
| Other | 12 | 14% |
| Unknown | 19 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 41 | 47% |
| Agricultural and Biological Sciences | 7 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 3% |
| Nursing and Health Professions | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 7 | 8% |
| Unknown | 24 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2012.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from HIV/AIDS (Auckland, N.Z.)
#249
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Outputs of similar age
#148,863
of 190,989 outputs
Outputs of similar age from HIV/AIDS (Auckland, N.Z.)
#3
of 3 outputs
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