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Title:

Perinatal Outcome and its Prediction Using Longitudinal Feto-Maternal Doppler Follow-Up in Late Onset Small for Gestational Age Fetuses - A Prospective Cohort Study.

Document type:
Article; Journal Article
Author(s):
Lobmaier, Silvia M; Graupner, Oliver; Ortiz, Javier U; Haller, Bernhard; Ried, Christina; Wildner, Nadia; Abel, Kathrin; Kuschel, Bettina; Rieger-Fackeldey, Eshter; Oberhoffer, Renate; Wacker-Gussmann, Annette
Abstract:
PURPOSE:  To describe the perinatal outcome of a prospective cohort of late-onset small-for-gestational-age (SGA) fetuses and to test adverse perinatal outcome (APO) prediction using Doppler measurements. METHODS:  Singleton pregnancies from 32 weeks with suspicion of SGA (followed-up each 2 weeks) and randomly selected healthy controls at a university hospital were included. The whole SGA group was divided into the FGR subgroup or SGA percentile 3-10 subgroup. The following Doppler measurements were evaluated prospectively: umbilical artery (UA) pulsatility index (PI), middle cerebral artery (MCA) PI, cerebro-placental ratio (CPR), and mean uterine artery (mUtA) PI. APO was defined as arterial cord blood pH ≤ 7.15 and/or 5-minute Apgar ≤ 7 and/or emergency operative delivery and/or admission to the neonatal unit. Induction of labor was indicated according to a stage-based protocol. RESULTS:  A total of 149 SGA and 143 control fetuses were included. The number of operative deliveries was similar between both groups (control: 29 %, SGA: 28 %), especially the cesarean delivery rate after the onset of labor (11 % vs. 10 %). Most SGA cases ended up in induction of labor (61 % vs. 31 %, p < 0.001). The areas under the curve (AUC) for APO prediction were similar using the last UA PI, MCA PI, CPR, and mUtA PI and barely reached 0.60. The AUC was best for the FGR subgroup, using the minimal CPR or maximum mUtA PI z-score of all longitudinal measurements (AUC = 0.63). CONCLUSION:  SGA fetuses do not have a higher rate of operative delivery if managed according to a risk stratification protocol. Prediction of APO is best for SGA and FGR using the "worst" CPR or mUtA PI but it remains moderate.
Journal title abbreviation:
Ultraschall Med
Year:
2023
Journal volume:
44
Journal issue:
2
Pages contribution:
e108-e117
Fulltext / DOI:
doi:10.1055/a-1493-2367
Pubmed ID:
http://view.ncbi.nlm.nih.gov/pubmed/34102686
Print-ISSN:
0172-4614
TUM Institution:
Institut für KI und Informatik in der Medizin (Prof. Rückert); Klinik für Kinderkardiologie und angeborene Herzfehler (DHM) (Prof. Ewert); Klinik und Poliklinik für Frauenheilkunde (Prof. Kiechle); Lehrstuhl für Medizinische Informatik (Prof. Boeker)
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