| Literature DB >> 20169094 |
Andrew J Desruisseau1, Delf Schmidt-Grimminger, Edith Welty.
Abstract
BACKGROUND: HPV types vary by country and HIV status. There are no data on the prevalent HPV genotypes from Cameroon.Entities:
Mesh:
Year: 2010 PMID: 20169094 PMCID: PMC2821770 DOI: 10.1155/2009/810596
Source DB: PubMed Journal: Infect Dis Obstet Gynecol ISSN: 1064-7449
Demographics.
| Antenatal group | Support group |
| |
|---|---|---|---|
| Age, median (range) | 27 (23–36) | 29 (26–32) | .960 |
| HIV positive % | 8.3 | 100.0 | .001 |
| Cell phone % | 75 | 58.6 | .550 |
| School in median no. Yrs, (range) | 12 (0–21) | 11 (6–19) | .164 |
| Married % | 80.6 | 75.9 | .522 |
| No. wives, median (range) | 1.0 (1–3) | 1.0 (1–2) | .524 |
| Age at sexual debut, median (range) | 18 (13–37) | 18 (13–21) | .310 |
| No. partners, median (range) | 1.0 (0–7) | 1.0 (0–3) | .325 |
| Condoms,% | .001 | ||
| Never | 51.5 | 10.7 | |
| Seldom | 30.3 | 35.7 | |
| Often | 12.1 | 35.7 | |
| Don't Know | 6.1 | 17.9 |
Figure 1Low risk HPV type distribution.
Figure 2High risk HPV type distribution.
Influence of HIV on HPV.
| HIV NEG | HIV POS |
| |
|---|---|---|---|
| Any HPV (%) | 15/29 (51.7) | 26/32 (81.3) | .014 |
| >1 HPV TYPE (%) | 11/29 (37.9) | 24/32 (75.0) | .003 |
| High-risk HPV (%) | 10/29 (34.5) | 22/32 (68.8) | .007 |
| Types 6, 11, 16, or 18 present (%) | 8/29 (27.6) | 20/32 (62.5) | .006 |
| Types 16 or 18 present (%) | 1/29 (3.5%) | 6/32 (18.8) | .061 |
Thin prep findings.
| NEG | ASCUS | LGSIL | HGSIL | |
|---|---|---|---|---|
| HIV POS | ||||
| HR HPV+ | 10 | 6 | 6 | 0 |
| HR HPV− | 10 | 0 | 0 | 0 |
| HIV NEG | ||||
| HR HPV+ | 5 | 2 | 2 | 0 |
| HR HPV− | 16 | 1 | 2 | 0 |
HIV+ P = .013, HIV− P = .235, ASCUS: atypical squamous cells of unknown significance, LGSIL: low-grade squamous intraepithelial lesion, HGSIL: high-grade squamous intraepithelial lesion, HR: high risk.