4.0 Article

A cross-sectional study of reported symptoms for sexually transmissible infections among female sex workers in Papua New Guinea

Journal

SEXUAL HEALTH
Volume 7, Issue 1, Pages 71-76

Publisher

CSIRO PUBLISHING
DOI: 10.1071/SH09093

Keywords

anogenital symptoms; leukocyte esterase urine dipstick test; polymerase chain reaction; positive predictive value; screening; sensitivity; specificity

Funding

  1. UNFPA

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Background: Sexually transmissible infections (STIs) are common in female sex workers (FSWs), most of which are asymptomatic and therefore under-reported. Our aim was to determine the sensitivity and specificity of reported symptoms obtained via questionnaire augmented with leukocyte esterase ( LE) urine dipstick test for the detection of Chlamydia trachomatis (Ct), Neisseria gonorrhea (Ng) and Trichomonas vaginalis (Tv) detected using polymerase chain reaction (PCR). Methods: In November 2003, a cohort of FSWs was screened for STIs and completed a questionnaire. Results: We enrolled 129 FSWs (90% participation rate) of whom 48 (37%), 30 (23%) and 53 (41%) were diagnosed with Ng, Ct and Tv, respectively, by PCR. Of those diagnosed with any of these infections, 78% reported anogenital symptoms and of those without infections, 28% reported symptoms. Anogenital symptoms were present in over 50% FSWs. Genital odour ( present in 26%), lower abdominal pain ( present in 29%), dysuria ( present in 19%) had a sensitivity around ( 50%), specificity (>80%) and all were significantly associated with positive PCR results for individual organisms; however, the sensitivity of these symptoms to detect the presence of any positive PCR result was low (<50%). When LE urine dipstick test result of >1 was combined with the presence of three reported symptoms the sensitivity was 86%, specificity of 73% and a positive predictive value of 72%; a better predictor of infections. Conclusions: Our finding suggest an approach that incorporates LE urine dipstick test >1 and multiple symptoms may be a feasible option for screening infections among FSWs in resource constraint settings.

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