| Literature DB >> 26731415 |
Tiatou Souho1,2, Hinde El Fatemi3, Safae Karim1,2, Karima El Rhazi4, Chahrazed Bouchikhi5, Abdelaziz Banani5, Moulay Abdelilah Melhouf6, Mohamed Benlemlih2, Bahia Bennani1,7.
Abstract
OBJECTIVES: To determine the distribution of cervical high-risk human papillomavirus genotypes and their association to cellular abnormalities in women from Fez and its neighborhood.Entities:
Mesh:
Substances:
Year: 2016 PMID: 26731415 PMCID: PMC4711798 DOI: 10.1371/journal.pone.0146246
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Description of the studied population.
| Variable | N | % |
|---|---|---|
| < 30 | 39 | 6.2 |
| 30–60 | 531 | 85 |
| > 60 | 55 | 8.8 |
| ≤ 20 | 433 | 70.9 |
| > 20 | 178 | 29.1 |
| Illiterate | 420 | 67.9 |
| Primary and secondary school | 158 | 25.6 |
| College | 40 | 6.5 |
| 0 | 3 | 0.5 |
| 1 | 571 | 93.3 |
| ≥2 | 38 | 6.2 |
| Yes | 186 | 30.3 |
| No | 427 | 69.7 |
| Yes | 160 | 26.1 |
| No | 454 | 73.9 |
| ≤ 3 | 312 | 50.5 |
| > 3 | 306 | 49.5 |
| ≤ 3 | 362 | 58.5 |
| > 3 | 259 | 41.5 |
| Yes | 158 | 25.7 |
| No | 457 | 74.3 |
| Yes | 246 | 40 |
| No | 369 | 60 |
Fig 1Prevalence of HPV and cytological lesions according to women age.
Correlations between HPV infection and other variables.
| Variable | N | HPV prevalence (%) |
|---|---|---|
| No | 369 | 36.31 |
| Yes | 246 | 52.44 |
| <30 | 39 | 35.9 |
| 30–60 | 531 | 41.6 |
| >60 | 55 | 60 |
| 1 | 571 | 41.5 |
| ≥ 2 | 38 | 57.9 |
| No | 454 | 44.7 |
| Yes | 160 | 36.9 |
| ≤ 3 | 362 | 39.8 |
| > 3 | 259 | 46.3 |
| No | 457 | 40.9 |
| Yes | 158 | 47.5 |
| ≤ 3 | 312 | 40.4 |
| > 3 | 306 | 44.8 |
| No | 224 | 41.52 |
| Yes | 387 | 43.15 |
| No | 427 | 42.15 |
| Yes | 186 | 43.55 |
| ≤ 15 | 77 | 48.1 |
| 16–25 | 440 | 41.4 |
| >25 | 94 | 44.7 |
| Illiterate | 420 | 43.09 |
| Literate | 198 | 41.92 |
* P values were calculated using the Khi square test.
Multivariate analysis of factors associated to HPV infections.
| P | Odds Ratio | 95% CI | |
|---|---|---|---|
| More than one lifetime sexual partner | 0.050 | 1.969 | 1.000–3.875 |
| Oral contraception | 0.330 | 0.823 | 0.556–1.218 |
| Parity > 3 | 0.318 | 1.192 | 0.845–1.682 |
| History of miscarriages | 0.368 | 1.190 | 0.815–1.740 |
HPV type-specific prevalence according to cytology.
| Genotypes | Normal cytology (n = 495) | Abnormal cytology (n = 124) | All (n = 633) | P |
|---|---|---|---|---|
| Single infections | ||||
| HPV 18 | 4 (0.8) | 1 (0.8) | 5 (0.8) | 0.737 |
| HPV 31 | 1 (0.2) | 0 | 1 (0.2) | 0.916 |
| HPV 51 | 4 (0.8) | 4 (3.2) | 8 (1.3) | 0.055 |
| HPV 53 | 13 (2.6) | 6 (4.8) | 19 (3) | 0.240 |
| HPV 73 | 1 (0.2) | 0 | 1 (0.2) | 0.916 |
| HPV 82 | 1 (0.2) | 0 | 1 (0.2) | 0.916 |
| Double infections | 4 (0.8) | 1 (0.8) | 5 (0.8) | 0.737 |
* Comparison of type-specific prevalence between normal and abnormal cytology groups (p values were determined with Khi square or Fisher's exact test).
Correlations between cytological abnormalities and other variables.
| Variable | N | Cytological Abnormalities (%) |
|---|---|---|
| Negative | 352 | 7.7 |
| Positive | 267 | 36.3 |
| No | 363 | 12.1 |
| Yes | 238 | 31.1 |
| < 30 | 38 | 5.3 |
| 30–60 | 522 | 19.9 |
| > 60 | 51 | 33.3 |
| Illiterate | 409 | 22.00 |
| Literate | 195 | 14.9 |
| ≤ 3 | 353 | 17.3 |
| > 3 | 252 | 23.8 |
| ≤ 3 | 303 | 16.8 |
| > 3 | 301 | 23.3 |
| No | 442 | 21.7 |
| Yes | 158 | 14.6 |
| No | 418 | 18.9 |
| Yes | 181 | 22.1 |
| No | 219 | 20.55 |
| Yes | 378 | 19.58 |
| No | 445 | 19.1 |
| Yes | 156 | 21.8 |
| 1 | 558 | 19.5 |
| ≥2 | 38 | 23.7 |
| ≤ 15 | 73 | 19.2 |
| 16–25 | 430 | 20.2 |
| >25 | 94 | 19.1 |
* P values were calculated using the Khi square test.
Multivariate analysis of factors associated to cytological abnormalities.
| Factors | P | Odds Ratio | 95% CI |
|---|---|---|---|
| Illiteracy | 0.282 | 0.755 | 0.453–1.260 |
| Number of pregnancies > 3 | 0.348 | 1.245 | 0.787–1.970 |