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dc.contributor.authorSungwal Rugpaoen_US
dc.contributor.authorKittipong Rungruengthanakiten_US
dc.contributor.authorYuthapong Werawatanakulen_US
dc.contributor.authorWanida Sinchaien_US
dc.contributor.authorTosaporn Ruengkrisen_US
dc.contributor.authorSurachai Lamlertkittikulen_US
dc.contributor.authorSutham Pinjareonen_US
dc.contributor.authorSompong Koonlertkiten_US
dc.contributor.authorAram Limtrakulen_US
dc.contributor.authorSomchai Sriplienchanen_US
dc.contributor.authorAntika Wongthaneeen_US
dc.contributor.authorBangorn Sirirojnen_US
dc.contributor.authorCharles S. Morrisonen_US
dc.contributor.authorDavid D. Celentanoen_US
dc.description.abstractAim: To identify risk factors associated with and evaluate algorithms for predicting Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) cervical infections in women attending family planning clinics in Thailand. Methods: Eligible women were recruited from family planning clinics from all regions in Thailand. The women were followed at 3-month intervals for 15-24 months. At each visit, the women were interviewed for interval sexually transmitted infection (STI) history in the past 3 months, recent sexual behavior, and contraceptive use. Pelvic examinations were performed and endocervical specimens were collected to test for CT and NG using polymerase chain reaction. Results: Factors associated with incident CT/NG cervical infections in multivariate analyses included region of country other than the north, age ≤25 years, polygamous marriage, acquiring a new sex partner in the last 3 months, abnormal vaginal discharge, mucopurulent cervical discharge, and easily induced bleeding of the endocervix. Three models were developed to predict cervical infection. A model incorporating demographic factors and sexual behaviors had a sensitivity of 61% and a specificity of 71%. Incorporating additional factors did not materially improve test performance. Positive predictive values for all models evaluated were low. Conclusion: In resource-limited settings, algorithmic approaches to identifying incident cervical infections among low-risk women may assist providers in the management of these infections. © 2010 Japan Society of Obstetrics and Gynecology.en_US
dc.titleRisk factors and algorithms for chlamydial and gonococcal cervical infections in women attending family planning clinics in Thailanden_US
article.title.sourcetitleJournal of Obstetrics and Gynaecology Researchen_US
article.volume36en_US Mai Universityen_US Promotion Center Region 10en_US Kaen Universityen_US Promotion Centeren_US Hospitalen_US Yai Hospitalen_US of Songkla Universityen_US Hopkins Bloomberg School of Public Healthen_US Health Internationalen_US
Appears in Collections:CMUL: Journal Articles

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