The intersection of cervicovaginal microbiota and cervical length in predicting adverse perinatal outcomes at preterm birth risk


Okutucu G., TANAÇAN A., Bayraktar N., Ozdal B. B., Babayigit E. B., DİNÇ B., ...Daha Fazla

BMC Pregnancy and Childbirth, cilt.25, sa.1, 2025 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 1
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1186/s12884-025-08201-y
  • Dergi Adı: BMC Pregnancy and Childbirth
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, CINAHL, EMBASE, MEDLINE, Directory of Open Access Journals
  • Anahtar Kelimeler: CAPO, Cervicovaginal flora, Culture, Microbiota, Preterm birth
  • Sağlık Bilimleri Üniversitesi Adresli: Evet

Özet

Aim: To evaluate the cervicovaginal (CV) microbiota in pregnant women with conditions increasing the risk of preterm labor and to assess the relationship between pathogenic microorganism growth in CV cultures and composite adverse perinatal outcomes (CAPO). Methods: A total of 665 CV culture results from pregnant women hospitalized for threatened preterm labor (TPL), preterm premature rupture of membranes (PPROM), or cervical insufficiency (CIS) without other obstetric complications were included. Culture results were divided into three groups according to the dominant microorganism type: normal (Lactobacillus spp. dominated), candidal, and bacterial cervicovaginal flora (CVF). CAPO were defined as the presence of perinatal mortality alone or the occurrence of at least two of the following neonatal complications: neonatal sepsis, transient tachypnea of the newborn, respiratory distress syndrome, intracranial or intraventricular hemorrhage, and umbilical cord arterial pH < 7.1. Results: Of the cultures, 431 (64.8%) were normal, and 234 (35.2%) were non-normal CVFs. Indications for hospitalization were TPL (n = 387, 58.2%), CIS (n = 172, 25.9%), and PPROM (n = 106, 15.9%). Bacterial CVFs had the highest rate of preterm birth (p = 0.024) and CAPO (52.5%, p = 0.021), as well as the lowest birth weight (p = 0.011). The optimal cut-off value for cervical length (CxL) to predict CAPO in the presence of non-normal CVFs was determined 28.5 mm, with a sensitivity of 70.7% and specificity of 71.1% (AUC: 0.763, p < 0.001). Conclusions: Monitoring CxL and determining bacterial predominance in CVF in women at risk of preterm delivery may help predict adverse perinatal outcomes and provide insight for better obstetric management and intervention.