Noninvasive prediction models of intra-amniotic infection in women with preterm labor
Among women with preterm labor, those with intra-amniotic infection present the highest risk of early delivery and the most adverse outcomes. The identification of intra-amniotic infection requires amniocentesis, perceived as too invasive by women and physicians. Noninvasive methods for identifying...
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Veröffentlicht in: | American journal of obstetrics and gynecology 2023-01, Vol.228 (1), p.78.e1-78.e13 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Among women with preterm labor, those with intra-amniotic infection present the highest risk of early delivery and the most adverse outcomes. The identification of intra-amniotic infection requires amniocentesis, perceived as too invasive by women and physicians. Noninvasive methods for identifying intra-amniotic infection and/or early delivery are crucial to focus early efforts on high-risk preterm labor women while avoiding unnecessary interventions in low-risk preterm labor women.
This study modeled the best performing models, integrating biochemical data with clinical and ultrasound information to predict a composite outcome of intra-amniotic infection and/or spontaneous delivery within 7 days.
From 2015 to 2020, data from a cohort of women, who underwent amniocentesis to rule in or rule out intra-amniotic infection or inflammation, admitted with a diagnosis of preterm labor at |
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ISSN: | 0002-9378 1097-6868 |
DOI: | 10.1016/j.ajog.2022.07.027 |