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Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya
BACKGROUND: Genital tract infections pose a public health concern. In many low-middle-income countries, symptom-based algorithms guide treatment decisions. Advantages notwithstanding, this strategy has important limitations. We aimed to determine the infections causing lower genital tract symptoms i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463802/ https://www.ncbi.nlm.nih.gov/pubmed/37608250 http://dx.doi.org/10.1186/s12879-023-08442-2 |
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author | Omosa-Manyonyi, Gloria S. de Kam, Marloes Tostmann, Alma Masido, Mwasi A. Nyagah, Nyawira Obimbo, Moses M. van der Ven, Andre J.A.M. Oever, Jaap ten |
author_facet | Omosa-Manyonyi, Gloria S. de Kam, Marloes Tostmann, Alma Masido, Mwasi A. Nyagah, Nyawira Obimbo, Moses M. van der Ven, Andre J.A.M. Oever, Jaap ten |
author_sort | Omosa-Manyonyi, Gloria S. |
collection | PubMed |
description | BACKGROUND: Genital tract infections pose a public health concern. In many low-middle-income countries, symptom-based algorithms guide treatment decisions. Advantages notwithstanding, this strategy has important limitations. We aimed to determine the infections causing lower genital tract symptoms in women, evaluated the Kenyan syndromic treatment algorithm for vaginal discharge, and proposed an improved algorithm. METHODS: This cross-sectional study included symptomatic non-pregnant adult women presenting with lower genital tract symptoms at seven outpatient health facilities in Nairobi. Clinical, socio-demographic information and vaginal swabs microbiological tests were obtained. Multivariate logistic regression analyses were performed to find predictive factors for the genital infections and used to develop an alternative vaginal discharge treatment algorithm (using 60% of the dataset). The other 40% of data was used to assess the performance of each algorithm compared to laboratory diagnosis. RESULTS: Of 813 women, 66% had an infection (vulvovaginal candidiasis 40%, bacterial vaginosis 17%, Neisseria gonorrhoea 14%, multiple infections 23%); 56% of women reported ≥ 3 lower genital tract symptoms episodes in the preceding 12 months. Vulvovaginal itch predicted vulvovaginal candidiasis (odds ratio (OR) 2.20, 95% CI 1.40–3.46); foul-smelling vaginal discharge predicted bacterial vaginosis (OR 3.63, 95% CI 2.17–6.07), and sexually transmitted infection (Neisseria gonorrhoea, Trichomonas vaginalis, Chlamydia trachomatis, Mycoplasma genitalium) (OR 1.64, 95% CI 1.06–2.55). Additionally, lower abdominal pain (OR 1.73, 95% CI 1.07–2.79) predicted sexually transmitted infection. Inappropriate treatment was 117% and 75% by the current and alternative algorithms respectively. Treatment specificity for bacterial vaginosis/Trichomonas vaginalis was 27% and 82% by the current and alternative algorithms, respectively. Performance by other parameters was poor to moderate and comparable between the two algorithms. CONCLUSION: Single and multiple genital infections are common among women presenting with lower genital tract symptoms at outpatient clinics in Nairobi. The conventional vaginal discharge treatment algorithm performed poorly, while the alternative algorithm achieved only modest improvement. For optimal care of vaginal discharge syndrome, we recommend the inclusion of point-of-care diagnostics in the flowcharts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08442-2. |
format | Online Article Text |
id | pubmed-10463802 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104638022023-08-30 Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya Omosa-Manyonyi, Gloria S. de Kam, Marloes Tostmann, Alma Masido, Mwasi A. Nyagah, Nyawira Obimbo, Moses M. van der Ven, Andre J.A.M. Oever, Jaap ten BMC Infect Dis Research BACKGROUND: Genital tract infections pose a public health concern. In many low-middle-income countries, symptom-based algorithms guide treatment decisions. Advantages notwithstanding, this strategy has important limitations. We aimed to determine the infections causing lower genital tract symptoms in women, evaluated the Kenyan syndromic treatment algorithm for vaginal discharge, and proposed an improved algorithm. METHODS: This cross-sectional study included symptomatic non-pregnant adult women presenting with lower genital tract symptoms at seven outpatient health facilities in Nairobi. Clinical, socio-demographic information and vaginal swabs microbiological tests were obtained. Multivariate logistic regression analyses were performed to find predictive factors for the genital infections and used to develop an alternative vaginal discharge treatment algorithm (using 60% of the dataset). The other 40% of data was used to assess the performance of each algorithm compared to laboratory diagnosis. RESULTS: Of 813 women, 66% had an infection (vulvovaginal candidiasis 40%, bacterial vaginosis 17%, Neisseria gonorrhoea 14%, multiple infections 23%); 56% of women reported ≥ 3 lower genital tract symptoms episodes in the preceding 12 months. Vulvovaginal itch predicted vulvovaginal candidiasis (odds ratio (OR) 2.20, 95% CI 1.40–3.46); foul-smelling vaginal discharge predicted bacterial vaginosis (OR 3.63, 95% CI 2.17–6.07), and sexually transmitted infection (Neisseria gonorrhoea, Trichomonas vaginalis, Chlamydia trachomatis, Mycoplasma genitalium) (OR 1.64, 95% CI 1.06–2.55). Additionally, lower abdominal pain (OR 1.73, 95% CI 1.07–2.79) predicted sexually transmitted infection. Inappropriate treatment was 117% and 75% by the current and alternative algorithms respectively. Treatment specificity for bacterial vaginosis/Trichomonas vaginalis was 27% and 82% by the current and alternative algorithms, respectively. Performance by other parameters was poor to moderate and comparable between the two algorithms. CONCLUSION: Single and multiple genital infections are common among women presenting with lower genital tract symptoms at outpatient clinics in Nairobi. The conventional vaginal discharge treatment algorithm performed poorly, while the alternative algorithm achieved only modest improvement. For optimal care of vaginal discharge syndrome, we recommend the inclusion of point-of-care diagnostics in the flowcharts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08442-2. BioMed Central 2023-08-22 /pmc/articles/PMC10463802/ /pubmed/37608250 http://dx.doi.org/10.1186/s12879-023-08442-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Omosa-Manyonyi, Gloria S. de Kam, Marloes Tostmann, Alma Masido, Mwasi A. Nyagah, Nyawira Obimbo, Moses M. van der Ven, Andre J.A.M. Oever, Jaap ten Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya |
title | Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya |
title_full | Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya |
title_fullStr | Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya |
title_full_unstemmed | Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya |
title_short | Evaluation and optimization of the syndromic management of female genital tract infections in Nairobi, Kenya |
title_sort | evaluation and optimization of the syndromic management of female genital tract infections in nairobi, kenya |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463802/ https://www.ncbi.nlm.nih.gov/pubmed/37608250 http://dx.doi.org/10.1186/s12879-023-08442-2 |
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