O1-S05.06 Association between prevalent<i>Bacterial vaginosis</i>(BV) and HIV Infection among female sex workers at two African and two Indian sites
Notice bibliographique
Résumé
Background BV is the most common female genital infection, particularly in developing countries and reaches its highest prevalence among female sex workers (FSWs). Over the past decade, evidence has accumulated as to its role in HIV acquisition. If BV actually plays such a role, even a modest relative risk would yield an important attributable risk for HIV, particularly in developing countries where FSWs play a pivotal role in the dynamics of HIV epidemics. Yet, data on this association among FSWs are still scanty. We analysed data from high risk women screened prior to participation in a microbicide trial to estimate BV and HIV respective prevalence and to study their association, in the presence or not of other STIs. Methods Data from Kampala, Cotonou, Chennai and Mudhol/Jhamkandi sites were analysed. Socio-demographic, behavioural and medical data were collected through individual interviews. Blood was taken for HIV and syphilis antibody testing. Genital samples were collected for BV diagnosis using Nugent scoring system, of gonorrhoea and chlamydias by SDA and of trichomoniasis (TV) and candidiasis on wet mount. Binomial log regression was used to estimate HIV prevalence ratio (PR) in relation to BV. Fitting of multivariable models was done with backward selection using the approach of proportional change of the PR. Product terms from BV and each of other STIs were included in the final model. Significance level was set at 5% for testing associations and 15% for interactions. Results Out of 1491 FSWs, BV data were available for 1367 among whom, BV and HIV prevalences were 47.6% (95% CI=45.0% to 50.3%) and 27.0% (95% CI=24.6% to 29.3%) respectively. In multivariable analysis (Abstract O1-S05.06 table 1), adjusting for site, age, years of education, occupation, current contraceptive method, oral sex, past history of STI, gonorrhoea, candidiasis and syphilis, BV was significantly associated to HIV (adjusted PR=1.20, 95% CI=1.01% to 1.42%, p=0.03). In addition, the PR was negatively modified by TV, whose prevalence was 6.7%: PR was 1.25 (1.05 to 1.48) and 0.76 (0.41 to 1.38) in the absence and the presence of TV respectively (p for interaction =0.12). Abstract O1-S05.06 Table 1 Final multivariate model *describing association betweenBacterial vaginosisand HIV infection with effect modification by Trichomoniasis, among 1367 FSWs recruited at 2 African and 2 Indian sites Variables HIV prevalence by exposure level: ni/Ni(%) Adjusted PR§ 95% CI p value Bacterial vaginosis: Positive 192/651 (29.49) 1.25 1.05 to 1.48 0.01 Negative 177/716 (24.72) 1.00 – – Site: Mudhol/Jhamkandi 23/49 (46.94) 1.06 0.71 to 1.58 0.78 Cotonou 123/447 (27.52) 0.63 0.50 to 0.79 <0.0001 Chennai 56/355 (15.77) 0.50 0.33 to 0.76 0.001 Kampala (Ref.) 167/516 (32.36) 1.00 – – Past history of STI: Yes 198/615 (32.20) 1.43 1.21 to 1.70 <0.0001 No 171/752 (22.74) 1.00 – – Exerting an occupation besides commercial sex work: Yes 243/906 (26.82) 0.82 0.65 to 1.03 0.09 No 126/461 (27.33) 1.00 – – Current contraceptive method †: Hormonal 65/221 (29.41) 0.76 0.43 to 1.34 0.34 IUD 3/11 (27.27) 0.99 0.35 to 2.82 0.98 Female sterilisation 43/294 (14.63) 0.54 0.31 to 0.94 0.03 Condom 248/809 (30.66) 0.89 0.53 to 1.50 0.67 None (Ref.) 10/31 (32.26) 1.00 – – Oral sex in the past 30 days: Yes 5/30 (16.67) 0.58 0.35 to 0.95 0.03 No 364/1337 (27.23) 1.00 – – Age (years): 15–19 (Ref.) 10/66 (15.15) 1.00 – – 20–24 100/380 (26.32) 1.85 1.03 to 3.34 0.04 25–29 109/357 (30.53) 2.23 1.24 to 4.00 0.01 30–34 68/221 (30.77) 2.70 1.50 to 4.88 0.001 35–60 82/343 (23.91) 2.25 1.23 to 4.11 0.01 Education duration (years) 0–6 240/782 (30.69) 1.00 – – 7–12 124/548 (22.63) 0.76 0.63 to 0.92 0.005 13–17 5/37 (13.51) 0.50 0.22 to 1.13 0.10 Gonorrhoea‡: Positive 52/111 (46.85) 1.52 1.26 to 1.83 <0.0001 Negative 316/1253 (25.22) 1.00 – – Candidiasis: Positive 118/421 (28.03) 1.20 0.99 to 1.45 0.06 Negative 251/946 (26.53) 1.00 – – Syphilis‡: Positive 29/82 (35.37) 1.26 0.96 to 1.67 0.09 Negative 339/1282 (26.44) 1.00 – – Trichomoniasis‡: Positive 29/82 (35.37) 1.20 0.82 to 1.74 0.34 Negative 339/1282 (26.44) 1.00 – – BV_TV¶ – 0.61 0.32 to 1.13 0.12 1.00 – – *This model includes, besides the site, all other covariables with p value <0.10 (though removal of neither resulted in a substantial change in the PR estimate during the confounders selection process), as well as TV and the product term between BV and TV. † = 1 missing value. ‡ = 3 missing values. § PR=prevalence ratio. ¶ BV_TV=product term between Bacterial Vaginosis (BV) and Trichomoniasis (TV). Conclusions Though its cross-sectional design precludes all directional interpretation of t
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».