Le SIDA au Ghana (serveur d'exploration)

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Improvement of clinical algorithms for the diagnosis of Neisseria gonorrhoeae and chlamydia trachomatis by the use of gram-stained smears among female sex workers in Accra, Ghana

Identifieur interne : 001174 ( Main/Exploration ); précédent : 001173; suivant : 001175

Improvement of clinical algorithms for the diagnosis of Neisseria gonorrhoeae and chlamydia trachomatis by the use of gram-stained smears among female sex workers in Accra, Ghana

Auteurs : Genevieve Deceuninck [Canada] ; Comfort Asamoah-Adu [Ghana] ; Nzambi Khonde [Ghana, Canada] ; Jacques Pepin [Canada] ; Eric H. Frost [Canada] ; Sylvie Deslandes [Canada] ; Alex Asamoah-Adu [Ghana] ; Veronika Bekoe [Ghana] ; Michel Alary [Canada]

Source :

RBID : Pascal:00-0422179

Descripteurs français

English descriptors

Abstract

Background: Screening for cervical infection is difficult in developing countries. Screening strategies must be improved for high-risk women, such as female sex workers. Goal: To evaluate the sensitivity and specificity of screening algorithms for cervical infection pathogens among female sex workers in Accra, Ghana. Study Design: A cross-sectional study among female sex workers was conducted. Each woman underwent an interview and a clinical examination. Biologic samples were obtained for the diagnosis of HIV, syphilis, bacterial vaginosis, yeast infection, Trichomonas vaginalis, Neisseria gonorrhoeae, and Chlamydia trachomatis infection. Signs and symptoms associated with cervicitis agents were identified. Algorithms for the diagnosis of cervical infection were tested by computer simulations. Results: The following prevalences were observed: HIV, 76.6%; N gonorrhoeae, 33.7%; C trachomatis, 10.1%; candidiasis, 24.4%; T vaginalis, 31.4%; bacterial vaginosis, 2.3%; serologic syphilis, 4.6%; and genital ulcers on clinical examination, 10.6%. The best performance of algorithms were reached when using a combination of clinical signs and a search for gram-negative diplococci on cervical smears (sensitivity, 64.4%; specificity, 80.0%). Conclusions: In the algorithms, examination of Gram-stained genital smears in female sex workers without clinical signs of cervicitis improved sensitivity without altering specificity for the diagnosis of cervical infection.


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Le document en format XML

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<term>Chlamydia Infections (diagnosis)</term>
<term>Chlamydia Infections (microbiology)</term>
<term>Chlamydia trachomatis (isolation & purification)</term>
<term>Chlamydiosis</term>
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<term>Diagnostic aid</term>
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<term>Chlamydia Infections</term>
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<term>Adult</term>
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<term>Ghana</term>
<term>Gonococcie</term>
<term>Chlamydiose</term>
<term>Exploration bactériologique</term>
<term>Aide diagnostic</term>
<term>Algorithme</term>
<term>Homme</term>
<term>Humains</term>
<term>Phénazines</term>
<term>Prostitution</term>
<term>Ghana</term>
<term>Sensibilité et spécificité</term>
<term>Études transversales</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr">
<term>Ghana</term>
</keywords>
<keywords scheme="Wicri" type="topic" xml:lang="fr">
<term>Homme</term>
<term>Prostitution</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">Background: Screening for cervical infection is difficult in developing countries. Screening strategies must be improved for high-risk women, such as female sex workers. Goal: To evaluate the sensitivity and specificity of screening algorithms for cervical infection pathogens among female sex workers in Accra, Ghana. Study Design: A cross-sectional study among female sex workers was conducted. Each woman underwent an interview and a clinical examination. Biologic samples were obtained for the diagnosis of HIV, syphilis, bacterial vaginosis, yeast infection, Trichomonas vaginalis, Neisseria gonorrhoeae, and Chlamydia trachomatis infection. Signs and symptoms associated with cervicitis agents were identified. Algorithms for the diagnosis of cervical infection were tested by computer simulations. Results: The following prevalences were observed: HIV, 76.6%; N gonorrhoeae, 33.7%; C trachomatis, 10.1%; candidiasis, 24.4%; T vaginalis, 31.4%; bacterial vaginosis, 2.3%; serologic syphilis, 4.6%; and genital ulcers on clinical examination, 10.6%. The best performance of algorithms were reached when using a combination of clinical signs and a search for gram-negative diplococci on cervical smears (sensitivity, 64.4%; specificity, 80.0%). Conclusions: In the algorithms, examination of Gram-stained genital smears in female sex workers without clinical signs of cervicitis improved sensitivity without altering specificity for the diagnosis of cervical infection.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Canada</li>
<li>Ghana</li>
</country>
<region>
<li>Région du Grand Accra</li>
</region>
<settlement>
<li>Accra</li>
</settlement>
</list>
<tree>
<country name="Canada">
<noRegion>
<name sortKey="Deceuninck, Genevieve" sort="Deceuninck, Genevieve" uniqKey="Deceuninck G" first="Genevieve" last="Deceuninck">Genevieve Deceuninck</name>
</noRegion>
<name sortKey="Alary, Michel" sort="Alary, Michel" uniqKey="Alary M" first="Michel" last="Alary">Michel Alary</name>
<name sortKey="Alary, Michel" sort="Alary, Michel" uniqKey="Alary M" first="Michel" last="Alary">Michel Alary</name>
<name sortKey="Deceuninck, Genevieve" sort="Deceuninck, Genevieve" uniqKey="Deceuninck G" first="Genevieve" last="Deceuninck">Genevieve Deceuninck</name>
<name sortKey="Deslandes, Sylvie" sort="Deslandes, Sylvie" uniqKey="Deslandes S" first="Sylvie" last="Deslandes">Sylvie Deslandes</name>
<name sortKey="Frost, Eric H" sort="Frost, Eric H" uniqKey="Frost E" first="Eric H." last="Frost">Eric H. Frost</name>
<name sortKey="Khonde, Nzambi" sort="Khonde, Nzambi" uniqKey="Khonde N" first="Nzambi" last="Khonde">Nzambi Khonde</name>
<name sortKey="Pepin, Jacques" sort="Pepin, Jacques" uniqKey="Pepin J" first="Jacques" last="Pepin">Jacques Pepin</name>
</country>
<country name="Ghana">
<region name="Région du Grand Accra">
<name sortKey="Asamoah Adu, Comfort" sort="Asamoah Adu, Comfort" uniqKey="Asamoah Adu C" first="Comfort" last="Asamoah-Adu">Comfort Asamoah-Adu</name>
</region>
<name sortKey="Asamoah Adu, Alex" sort="Asamoah Adu, Alex" uniqKey="Asamoah Adu A" first="Alex" last="Asamoah-Adu">Alex Asamoah-Adu</name>
<name sortKey="Asamoah Adu, Comfort" sort="Asamoah Adu, Comfort" uniqKey="Asamoah Adu C" first="Comfort" last="Asamoah-Adu">Comfort Asamoah-Adu</name>
<name sortKey="Bekoe, Veronika" sort="Bekoe, Veronika" uniqKey="Bekoe V" first="Veronika" last="Bekoe">Veronika Bekoe</name>
<name sortKey="Khonde, Nzambi" sort="Khonde, Nzambi" uniqKey="Khonde N" first="Nzambi" last="Khonde">Nzambi Khonde</name>
</country>
</tree>
</affiliations>
</record>

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