Dataset Information

Comparison between Abbott m2000 RealTime and Alinity m STI systems for detection of Chlamydia trachomatis, Neisseria gonorrhoeae, and Mycoplasma genitalium.

ABSTRACT: The new Abbott Alinity m STI Assay was compared with Abbott m2000 RealTime PCR. For Chlamydia trachomatis, 26 (7.5%) of 347 samples were positive in the Alinity assay and 24 (6.9%) in the m2000 assay. Corresponding figures for Neisseria gonorrhoeae were 23 (6.6%) and 17 (4.9%). For Mycoplasma genitalium, 22 (7.9%) of 279 samples were positive in the Alinity assay and 18 (6.5%) in the m2000 assay, for which DNA extraction was performed on an m2000sp instrument combined with in-house real-time PCR. The Alinity assay has at least the same sensitivity as the m2000 assay. The specificity was evaluated by discrepancy analysis.

SUBMITTER: Herrmann B

PROVIDER: S-EPMC8449771 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Comparison between Abbott m2000 RealTime and Alinity m STI systems for detection of Chlamydia trachomatis, Neisseria gonorrhoeae, and Mycoplasma genitalium.

Herrmann Björn B Malm Karin K

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology 20210315 10

The new Abbott Alinity m STI Assay was compared with Abbott m2000 RealTime PCR. For Chlamydia trachomatis, 26 (7.5%) of 347 samples were positive in the Alinity assay and 24 (6.9%) in the m2000 assay. Corresponding figures for Neisseria gonorrhoeae were 23 (6.6%) and 17 (4.9%). For Mycoplasma genitalium, 22 (7.9%) of 279 samples were positive in the Alinity assay and 18 (6.5%) in the m2000 assay, for which DNA extraction was performed on an m2000sp instrument combined with in-house real-time PCR ...[more]

PMID: 33723736

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Project description:BACKGROUND:The vaginal microbiota may modulate susceptibility to human papillomavirus (HPV), Chlamydia trachomatis, Neisseria gonorrhoeae and Mycoplasma genitalium infections. Persistent infection with a carcinogenic HPV is a prerequisite for cervical cancer, and C. trachomatis, N. gonorrheae and M. genitalium genital infections are all associated with pelvic inflammatory disease and subsequent infertility issues. OBJECTIVES:To evaluate the association between these infections and the vaginal microbiota. DATA SOURCES:The search was conducted on Medline and the Web of Science for articles published between 2000 and 2016. STUDY ELIGIBILITY CRITERIA:Inclusion criteria included a measure of association for vaginal microbiota and one of the considered STIs, female population, cohort, cross-sectional and interventional designs, and the use of PCR methods for pathogen detection. METHODS:The vaginal microbiota was dichotomized into high-Lactobacillus vaginal microbiota (HL-VMB) and low-Lactobacillus vaginal microbiota (LL-VMB), using either Nugent score, Amsel's criteria, presence of clue cells or gene sequencing. A random effects model assuming heterogeneity among the studies was used for each STI considered. RESULTS:The search yielded 1054 articles, of which 39 met the inclusion criteria. Measures of association with LL-VMB ranged from 0.6 (95% CI 0.3-1.2) to 2.8 (95% CI 0.3-28.0), 0.7 (95% CI 0.4-1.2) to 5.2 (95% CI 1.9-14.8), 0.8 (95% CI 0.5-1.4) to 3.8 (95% CI 0.4-36.2) and 0.4 (95% CI 0.1-1.5) to 6.1 (95% CI 2.0-18.5) for HPV, C. trachomatis, N. gonorrhoeae and M. genitalium infections, respectively. CONCLUSIONS:Although no clear trend for N. gonorrhoeae and M. genitalium infections could be detected, our results support a protective role of HL-VMB for HPV and C. trachomatis. Overall, these findings advocate for the use of high-resolution characterization methods for the vaginal microbiota and the need for longitudinal studies to lay the foundation for its integration in prevention and treatment strategies.

Project description:BACKGROUND:This study aimed to examine the agreement between sexually transmitted infection (STI) screening using self-collected specimens and physician-collected specimens, and to investigate the acceptability of self-collection for screening in an 18-month study of female sex workers in a high-risk, low-resource setting. METHODS:A total of 350 female sex workers in Nairobi, Kenya, participated in a prospective study from 2009 to 2011. Women self-collected a cervicovaginal specimen. Next, a physician conducted a pelvic examination to obtain a cervical specimen. Physician- and self-collected specimens were tested for Chlamydia trachomatis, Neisseria gonorrhoeae, Trichomonas vaginalis, and Mycoplasma genitalium (MG) using Aptima nucleic acid amplification assays (Hologic). Specimens were collected at 3-month intervals over 18-month follow-up. ? Statistics measured agreement of positivity between self-collection and physician collection. RESULTS:Baseline STI prevalence was 2.9% for N. gonorrhoeae, 5.2% for C. trachomatis, 9.2% for T. vaginalis, and 20.1% for MG in self-collected samples, and 2.3%, 3.7%, 7.2%, and 12.9%, respectively, in physician-collected samples. ? Agreement was consistently strong (range, 0.66-1.00) for all STIs over the 18-month study period, except for MG, which had moderate agreement (range, 0.50-0.75). Most participants found self-collection easy (94%) and comfortable (89%) at baseline, with responses becoming modestly more favorable over time. CONCLUSIONS:Self-collected specimen screening results showed strong agreement to clinical-collected specimens, except for MG, which was consistently detected more commonly in self-collected than in physician-collected specimens. Acceptability of the self-collection procedure was high at baseline and increased modestly over time. In high-risk, low-resource settings, STI screening with self-collected specimens provides a reliable and acceptable alternative to screening with physician-collected specimens.

Dataset Information

Comparison between Abbott m2000 RealTime and Alinity m STI systems for detection of Chlamydia trachomatis, Neisseria gonorrhoeae, and Mycoplasma genitalium.

Publications

Comparison between Abbott m2000 RealTime and Alinity m STI systems for detection of Chlamydia trachomatis, Neisseria gonorrhoeae, and Mycoplasma genitalium.

Similar Datasets

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