Molecular diagnosis of bacterial vaginosis: Does adjustment for total bacterial load or human cellular content improve diagnostic performance?

Plummer, Erica L; Garland, Suzanne M.; Bradshaw, Catriona; Law, Matthew; Vodstrcil, Lenka A; Hocking, Jane S; Fairley, Christopher K; Tabrizi, Sepehr N.

doi:10.1016/j.mimet.2016.12.024

Cited by 5 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies suggest that molecular diagnostic tools would be beneficial to improve BV diagnosis efficiency and that nucleic acid amplification, targeting several BV-associated bacteria, could be performed ( 22 ). The Aptima BV assay is an in vitro nucleic acid amplification test that uses a real-time transcription-mediated amplification (TMA) for detection and quantitation of rRNA from bacteria associated with BV, including Lactobacillus ( L. gasseri , L. crispatus , and L. jensenii ), Gardnerella vaginalis , and Atopobium vaginae .…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Performance of the Aptima Bacterial Vaginosis Assay Over a 3-Month Period in a French Hospital

et al. 2022

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Assessment of the Performance of the Aptima Bacterial Vaginosis Assay Over a 3-Month Period in a French Hospital

et al. 2022

View full text Add to dashboard Cite

show abstract

Vaginal microbiota profile at the time of embryo transfer does not affect live birth rate in IVF cycles with donated oocytes

Vergaro

Tiscórnia

Barragán³

et al. 2019

Reproductive BioMedicine Online

View full text Add to dashboard Cite

Diagnosing Bacterial Vaginosis with a Novel, Clinically-Actionable Molecular Diagnostic Tool

Jarvis

Rains

Kradel

et al. 2018

Preprint

View full text Add to dashboard Cite

15Bacterial vaginosis is a common condition among women of reproductive age and is 16 associated with potentially serious side-effects, including an increased risk of preterm birth. 17Recent advancements in microbiome sequencing technologies have produced novel insights into 18 the complicated mechanisms underlying bacterial vaginosis and have given rise to new methods 19 of diagnosis. Here we report on the validation of a quantitative, molecular diagnostic algorithm 20 based on the relative abundances of ten potentially pathogenic bacteria and four commensal 21Lactobacillus species in research subjects (n = 172) classified as symptomatic (n = 149) or 22 asymptomatic (n = 23). We observe a clear and reinforcing pattern among patients diagnosed by 23 the algorithm that is consistent with the current understanding of biological dynamics and 24 dysregulation of the vaginal microbiome during infection. Using this enhanced assessment of 25 the underlying biology of infection, we demonstrate improved diagnostic sensitivity (93%) and 26 specificity (90%) relative to current diagnostic tools. Our algorithm also appears to provide 27 enhanced diagnostic capabilities in ambiguous classes of patients for whom diagnosis and 28 medical decision-making is complicated, including asymptomatic patients and those deemed 29 "intermediate" by Nugent scoring. Ultimately, we establish CLS2.0q as a quantitative, sensitive, 30 specific, accurate, robust, and flexible algorithm for the clinical diagnosis of bacterial vaginosis -31 importantly, one that is also ideal for the differential diagnosis of non-BV infections with 32 clinically similar presentations. 33 34

show abstract

Molecular diagnosis of bacterial vaginosis: Does adjustment for total bacterial load or human cellular content improve diagnostic performance?

Cited by 5 publications

References 19 publications

Assessment of the Performance of the Aptima Bacterial Vaginosis Assay Over a 3-Month Period in a French Hospital

Assessment of the Performance of the Aptima Bacterial Vaginosis Assay Over a 3-Month Period in a French Hospital

Vaginal microbiota profile at the time of embryo transfer does not affect live birth rate in IVF cycles with donated oocytes

Diagnosing Bacterial Vaginosis with a Novel, Clinically-Actionable Molecular Diagnostic Tool

Contact Info

Product

Resources

About