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Prediction of adverse neonatal adaptation in fetuses with severe fetal growth restriction after 34 weeks of gestation.
Ross, Célia; Deruelle, Philippe; Pontvianne, Mary; Lecointre, Lise; Wieder, Samuel; Kuhn, Pierre; Lodi, Massimo.
Affiliation
  • Ross C; Obstetrics and Gynecology Department, Strasbourg University Hospitals, 1 Avenue Molière, Strasbourg 67200, France.
  • Deruelle P; Obstetrics and Gynecology Department, Strasbourg University Hospitals, 1 Avenue Molière, Strasbourg 67200, France.
  • Pontvianne M; Obstetrics and Gynecology Department, Strasbourg University Hospitals, 1 Avenue Molière, Strasbourg 67200, France.
  • Lecointre L; Obstetrics and Gynecology Department, Strasbourg University Hospitals, 1 Avenue Molière, Strasbourg 67200, France.
  • Wieder S; Independent Researcher and Software Architect, France.
  • Kuhn P; Pediatrics Department, Strasbourg University Hospitals, 1 Avenue Molière, Strasbourg 67200, France.
  • Lodi M; Obstetrics and Gynecology Department, Strasbourg University Hospitals, 1 Avenue Molière, Strasbourg 67200, France; Institute of Genetics and Molecular and Cellular Biology (IGBMC), CNRS, UMR7104 INSERM U964, Strasbourg University, 1 rue Laurent Fries, Illkirch-Graffenstaden 67400, France; Louis Past
Eur J Obstet Gynecol Reprod Biol ; 296: 258-264, 2024 May.
Article in En | MEDLINE | ID: mdl-38490046
ABSTRACT

OBJECTIVE:

To establish a predictive model for adverse immediate neonatal adaptation (INA) in fetuses with suspected severe fetal growth restriction (FGR) after 34 gestational weeks (GW).

METHODS:

We conducted a retrospective observational study at the University Hospitals of Strasbourg between 2000 and 2020, including 1,220 women with a singleton pregnancy and suspicion of severe FGR who delivered from 34 GW. The primary outcome (composite) was INA defined as Apgar 5-minute score <7, arterial pH <7.10, immediate transfer to pediatrics, or the need for resuscitation at birth. We developed and tested a logistic regression predictive model.

RESULTS:

Adverse INA occurred in 316 deliveries. The model included six features available before labor parity, gestational age, diabetes, middle cerebral artery Doppler, cerebral-placental inversion, onset of labor. The model could predict individual risk of adverse INA with confidence interval at 95 %. Taking an optimal cutoff threshold of 32 %, performances were sensitivity 66 %; specificity 83 %; positive and negative predictive values 60 % and 87 % respectively, and area under the curve 78 %.

DISCUSSION:

The predictive model showed good performances and a proof of concept that INA could be predicted with pre-labor characteristics, and needs to be investigated further.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Infant, Small for Gestational Age / Fetal Growth Retardation Limits: Child / Female / Humans / Newborn / Pregnancy Language: En Journal: Eur J Obstet Gynecol Reprod Biol Year: 2024 Document type: Article Affiliation country: Francia Country of publication: Irlanda

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Infant, Small for Gestational Age / Fetal Growth Retardation Limits: Child / Female / Humans / Newborn / Pregnancy Language: En Journal: Eur J Obstet Gynecol Reprod Biol Year: 2024 Document type: Article Affiliation country: Francia Country of publication: Irlanda