Clinical algorithms for the screening of pregnant women for STDs in Libreville, Gabon: which alternatives? 1998

A Bourgeois, and D Henzel, and G Malonga-Mouelet, and G Dibanga, and C Tsobou, and M Peeters, and E Delaporte
Programme SIDA de l'ORSTOM, Montpellier, France.

OBJECTIVE Sexually transmitted diseases (STDs) remain one of the major public health problems in the developing world. To implement a systematic screening of STDs among pregnant women in Libreville, Gabon, a preliminary cross sectional study on STD prevalence and risk factors was performed in antenatal clinics. A score, integrating risk factors and elementary clinical signs for the screening of STDs, showed higher performances compared with hierarchical algorithms. The prospective validation of this score based on six criteria (risk factors and simple clinical signs) was done in 1994-5. The sensitivity (76.7%), compared with results from other studies, was acceptable for diagnosing cervical infection (Neisseria gonorrhoeae and/or Chlamydia trachomatis) but the specificity was low (50.6%). In addition, the diagnostic values for diagnosing vaginal infection (Trichomonas vaginalis and/or Candida albicans) were poor. We then proposed to evaluate an alternative flowchart for the screening of cervical and vaginal infections. METHODS In this study, 646 pregnant women were enrolled. Each woman was interviewed and examined by a physician and then was subjected to reference laboratory examinations. An algorithm in two steps, combining a risk assessment score at the beginning of a hierarchical process, followed by a second step more specifically applied to a limited number of women, was developed and evaluated. RESULTS The prevalence rate was 11.3% for cervical infection and 39.5% for vaginal infection. The first step of the algorithm, applied to all pregnant women, is based on four criteria (age, marital status, dyspareunia, coloured vaginal discharge). It allows classification of the women into three classes: high, low, and intermediate risk of cervical infection. Only the patients with intermediate risk were submitted to further investigations including speculum and microscopic examination, and subsequently chlamydial antigen detection. This flowchart was 83.6% and 81.2% sensitive and 63.4% and 62.7% specific for predicting cervical infection and vaginal infection, respectively. CONCLUSIONS Similar strategies using simple rapid tests for chlamydial and gonococcal infection would certainly constitute a good diagnostic tool. This theoretical model needs to be evaluated prospectively, not only to confirm their diagnostic value but also to evaluate their feasibility, reliability and acceptability, as well as their cost effectiveness.

UI MeSH Term Description Entries
D008403 Mass Screening Organized periodic procedures performed on large groups of people for the purpose of detecting disease. Screening,Mass Screenings,Screening, Mass,Screenings,Screenings, Mass
D011247 Pregnancy The status during which female mammals carry their developing young (EMBRYOS or FETUSES) in utero before birth, beginning from FERTILIZATION to BIRTH. Gestation,Pregnancies
D011251 Pregnancy Complications, Infectious The co-occurrence of pregnancy and an INFECTION. The infection may precede or follow FERTILIZATION. Complications, Infectious Pregnancy,Infectious Pregnancy Complications,Maternal Sepsis,Pregnancy, Infectious Complications,Sepsis during Pregnancy,Sepsis in Pregnancy,Infectious Pregnancy Complication,Pregnancy Complication, Infectious,Sepsis in Pregnancies,Sepsis, Maternal
D011295 Prenatal Care Care provided the pregnant woman in order to prevent complications, and decrease the incidence of maternal and prenatal mortality. Antenatal Care,Care, Antenatal,Care, Prenatal
D002575 Uterine Cervicitis Inflammation of the UTERINE CERVIX. Cervicitis,Cervicitides,Cervicitides, Uterine,Cervicitis, Uterine,Uterine Cervicitides
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003906 Developing Countries Countries in the process of change with economic growth, that is, an increase in production, per capita consumption, and income. The process of economic growth involves better utilization of natural and human resources, which results in a change in the social, political, and economic structures. LMICs,Less-Developed Countries,Low Income Countries,Low and Middle Income Countries,Lower-Middle-Income Country,Middle Income Countries,Third-World Countries,Under-Developed Countries,Developing Nations,Least Developed Countries,Less-Developed Nations,Third-World Nations,Under-Developed Nations,Countries, Middle Income,Countries, Third-World,Country, Least Developed,Country, Less-Developed,Country, Low Income,Country, Lower-Middle-Income,Country, Middle Income,Country, Third-World,Country, Under-Developed,Developed Country, Least,Developing Country,Developing Nation,Least Developed Country,Less Developed Countries,Less Developed Nations,Less-Developed Country,Less-Developed Nation,Low Income Country,Lower Middle Income Country,Lower-Middle-Income Countries,Middle Income Country,Nation, Less-Developed,Nation, Third-World,Nation, Under-Developed,Third World Countries,Third World Nations,Third-World Country,Third-World Nation,Under Developed Countries,Under Developed Nations,Under-Developed Country,Under-Developed Nation
D005260 Female Females
D005681 Gabon A republic in west equatorial Africa, south of CAMEROON and west of the CONGO. Its capital is Libreville. Gabonese Republic
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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