| Literature DB >> 25422121 |
Hua-Feng Xu1, Hai-Zhou Zhou2, Li-Xin Jiang3, Na Zhang4, Xuan Zhang5, Xiu-Ru Guan6.
Abstract
BACKGROUND: Major hospitals in most Chinese cities have the capability to perform HIV testing. However, it is not a routine test for all patients and, as a result, many patients are not aware of their HIV status. To understand the rate of HIV infection and the factors associated with infection, we tested serum to determine HIV status and analyzed factors associated with HIV infection.Entities:
Mesh:
Year: 2014 PMID: 25422121 PMCID: PMC4245807 DOI: 10.1186/s12879-014-0605-1
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Figure 1The positive rate of HIV-1 testing from 2007 to 2012 in hospital.
Demographic characteristics of HIV-infected inpatients
| 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n = 7 | n = 11 | n = 14 | n = 29 | n = 42 | n = 43 |
| |||||||
| n | % | n | % | n | % | n | % | n | % | n | % | ||
| Age groups, years | |||||||||||||
| 20 | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 1 | 3.5% | 3 | 7.1% | 3 | 7.0% | |
| 20-60 | 5 | 85.7% | 7 | 90.9% | 8 | 92.9% | 13 | 89.6% | 36 | 85.8% | 39 | 90.7% | |
| 60 | 1 | 14.3% | 1 | 9.1% | 1 | 7.1% | 2 | 6.9% | 3 | 7.1% | 1 | 2.3% | <0.01 |
| Sex | |||||||||||||
| Male | 4 | 57.1% | 9 | 81.8% | 10 | 71.4% | 24 | 82.8% | 35 | 83.3% | 41 | 95.4% | |
| Famale | 3 | 42.9% | 2 | 18.2% | 4 | 28.6% | 5 | 17.2% | 7 | 16.7% | 2 | 4.7% | <0.05 |
| Marry status | |||||||||||||
| No married | 2 | 28.6% | 2 | 18.2% | 3 | 21.4% | 9 | 31.0% | 16 | 38.1% | 14 | 32.6% | |
| Divorce or Widowed | 3 | 42.9% | 1 | 9.1% | 6 | 42.9% | 17 | 58.6% | 15 | 35.7% | 26 | 60.5% | |
| Married | 2 | 28.6% | 7 | 63.6% | 3 | 21.4% | 3 | 10.3% | 10 | 23.8% | 3 | 7.0% | |
| Unknown | 0 | 0.0% | 1 | 9.1% | 2 | 14.3% | 0 | 0.0% | 1 | 2.4% | 0 | 0.0% | <0.01 |
| Occupation | |||||||||||||
| Students | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 1 | 3.5% | 1 | 2.4% | 2 | 4.7% | |
| Unemployed | 1 | 14.3% | 1 | 9.1% | 8 | 57.1% | 2 | 6.9% | 5 | 11.9% | 6 | 14.0% | |
| Blue collar | 6 | 85.7% | 5 | 45.5% | 1 | 7.1% | 16 | 55.2% | 26 | 61.9% | 34 | 79.1% | |
| White collar | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 1 | 3.5% | 2 | 4.8% | 1 | 2.3% | |
| Unknown | 0 | 0.0% | 5 | 45.5% | 5 | 35.7% | 9 | 31.0% | 8 | 19.1% | 0 | 0.0% | <0.01 |
| Eduction, years | |||||||||||||
| 6 | 0 | 0.0% | 2 | 18.2% | 2 | 14.3% | 4 | 13.8% | 6 | 14.3% | 1 | 2.3% | |
| 6-9 | 2 | 28.6% | 5 | 45.5% | 10 | 71.4% | 10 | 34.5% | 16 | 38.1% | 14 | 32.6% | |
| 10-12 | 4 | 57.1% | 4 | 36.4% | 2 | 14.3% | 10 | 34.5% | 13 | 31.0% | 15 | 34.9% | |
| >12 | 1 | 14.3% | 0 | 0.0% | 0 | 0.0% | 5 | 17.2% | 7 | 16.7% | 13 | 30.2% | <0.01 |
| Routes of infection | |||||||||||||
| Blood/Drug | 1 | 14.3% | 1 | 9.1% | 2 | 14.3% | 7 | 24.1% | 0 | 0.0% | 3 | 7.0% | |
| Heterosexual | 3 | 42.9% | 6 | 54.6% | 5 | 35.7% | 6 | 20.7% | 19 | 45.2% | 12 | 27.9% | |
| Homosexual | 3 | 42.9% | 4 | 36.4% | 7 | 50.0% | 15 | 51.7% | 21 | 50.0% | 28 | 65.1% | |
| Unknown | 0 | 0.0% | 0 | 0.0% | 0 | 0.0% | 1 | 3.5% | 2 | 4.8% | 0 | 0.0% | 0.12 |
The source of HIV-infected inpatients
| 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n = 7 | n = 11 | n = 14 | n = 29 | n = 42 | n = 43 | |||||||
| n | % | n | % | n | % | n | % | n | % | n | % | |
| STD clinic | 0 | 0.0% | 1 | 9.1% | 4 | 28.6% | 4 | 13.8% | 12 | 28.6% | 8 | 18.6% |
| Preoperative detection | 3 | 42.9% | 6 | 54.6% | 8 | 57.1% | 8 | 27.6% | 8 | 19.1% | 12 | 27.9% |
| Clinical detection | 4 | 57.1% | 4 | 36.4% | 2 | 14.3% | 17 | 58.6% | 22 | 52.4% | 23 | 53.5% |