Classification and Regression Trees for Bacterial Vaginosis Diagnosis in Pregnant Women Based on High-Throughput Quantitative PCR

Classification and Regression Trees for Bacterial Vaginosis Diagnosis in Pregnant Women Based on High-Throughput Quantitative PCR

Bacterial vaginosis (BV) diagnosis in pregnancy is based on the Nugent score, which consists of semiquantitation of bacterial morphotypes. Limited data exist concerning molecular-based diagnosis in asymptomatic pregnant women. Using high-throughput quantitative PCR, 34 microorganisms were screened i...

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Veröffentlicht in:The Journal of molecular diagnostics : JMD 2021-02, Vol.23 (2), p.234-241
Hauptverfasser: Loquet, Aurore, Le Guern, Rémi, Grandjean, Teddy, Duployez, Claire, Bauduin, Marvin, Kipnis, Eric, Brabant, Gilles, Subtil, Damien, Dessein, Rodrigue
Format: Artikel
Sprache:eng
Schlagworte:
Bacteriology
Human health and pathology
Infectious diseases
Life Sciences
Life Sciences & Biomedicine
Microbiology and Parasitology
Pathology
Science & Technology
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Zusammenfassung:Bacterial vaginosis (BV) diagnosis in pregnancy is based on the Nugent score, which consists of semiquantitation of bacterial morphotypes. Limited data exist concerning molecular-based diagnosis in asymptomatic pregnant women. Using high-throughput quantitative PCR, 34 microorganisms were screened in asymptomatic pregnant women and compared with the Nugent score. Three-hundred and four vaginal samples had a Nugent score
ISSN:1525-1578
1943-7811
DOI:10.1016/j.jmoldx.2020.11.004