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High sialidase levels increase preterm birth risk among women who are bacterial vaginosis-positive in early gestation
Journal article   Peer reviewed

High sialidase levels increase preterm birth risk among women who are bacterial vaginosis-positive in early gestation

Sabina Cauci and Jennifer Flatow Culhane
American journal of obstetrics and gynecology, v 204(2), pp 142.e1-142.e9
01 Feb 2011
DOI: https://doi.org/10.1016/j.ajog.2010.08.061
PMID: 21055720
Featured in Collection :   UN Sustainable Development Goals @ Drexel

Abstract

Life Sciences & Biomedicine Obstetrics & Gynecology Science & Technology
OBJECTIVE: The purpose of this study was to assess whether vaginal sialidases level in early pregnancy is associated with preterm birth among women who are bacterial vaginosis-positive. STUDY DESIGN: Of the 1806 women who were enrolled at <20 weeks of gestation, 800 of the women were bacterial vaginosis-positive (Nugent score, 7-10); 707 of the women had birth outcome data; 109 of the women who were bacterial vaginosis-positive had an adverse preterm outcome, which included 53 spontaneous preterm births (19 births were early at 20-34 weeks, and 34 births were late at 34-37 weeks), and 14 of the women had late miscarriages (12-20 weeks). Sialidase levels were compared with 352 control subjects (term normal birthweight infants). RESULTS: Sialidase levels at >= 5, >= 10, and >= 14 nmol (odds ratio [OR], 1.56; 95% confidence interval [CI], 1.01-2.41; OR, 2.14; 95% CI, 1.25-3.64; OR, 3.17; 95% CI, 1.64-6.10, respectively) was associated significantly with all adverse preterm outcomes. The >= 10 nmol and >= 14 nmol cut-points were associated strongly with early spontaneous preterm births (OR, 3.79; 95% CI, 1.42-10.10 and OR, 5.36; 95% CI, 1.77-16.23, respectively) and late miscarriages (OR, 4.87; 95% CI, 1.61-14.65; OR, 8.33; 95% CI, 2.57-26.9, respectively). CONCLUSION: Elevated sialidase level that is measured at 12 weeks of gestation is associated strongly with early spontaneous preterm births and late miscarriage.

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Web of Science research areas
Obstetrics & Gynecology
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