S'abonner

Customized vs INTERGROWTH-21st standards for the assessment of birthweight and stillbirth risk at term - 28/02/18

Doi : 10.1016/j.ajog.2017.12.013 
Andre Francis, MSc, Oliver Hugh, BSc (Hons), Jason Gardosi, MD, FRCOG
 Perinatal Institute, Birmingham, United Kingdom 

Corresponding author: Jason Gardosi, MD, FRCOG.

Abstract

Background

Fetal growth abnormalities are linked to stillbirth and other adverse pregnancy outcomes, and use of the correct birthweight standard is essential for accurate assessment of growth status and perinatal risk.

Objective

Two competing, conceptually opposite birthweight standards are currently being implemented internationally: customized gestation-related optimal weight (GROW) and INTERGROWTH-21st. We wanted to compare their performance when applied to a multiethnic international cohort, and evaluate their usefulness in the assessment of stillbirth risk at term.

Study Design

We analyzed routinely collected maternity data from 10 countries with a total of 1.25 million term pregnancies in their respective main ethnic groups. The 2 standards were applied to determine small for gestational age (SGA) and large for gestational age (LGA) rates, with associated relative risk and population-attributable risk of stillbirth. The customized standard (GROW) was based on the term optimal weight adjusted for maternal height, weight, parity, and ethnic origin, while INTERGROWTH-21st was a fixed standard derived from a multiethnic cohort of low-risk pregnancies.

Results

The customized standard showed an average SGA rate of 10.5% (range 10.1-12.7) and LGA rate of 9.5% (range 7.3-9.9) for the set of cohorts. In contrast, there was a wide variation in SGA and LGA rates with INTERGROWTH-21st, with an average SGA rate of 4.4% (range 3.1-16.8) and LGA rate of 20.6% (range 5.1-27.5). This variation in INTERGROWTH-21st SGA and LGA rates was correlated closely (R = ±0.98) to the birthweights predicted for the 10 country cohorts by the customized method to derive term optimal weight, suggesting that they were mostly due to physiological variation in birthweight. Of the 10.5% of cases defined as SGA according to the customized standard, 4.3% were also SGA by INTERGROWTH-21st and had a relative risk of 3.5 (95% confidence interval, 3.1–4.1) for stillbirth. A further 6.3% (60% of the whole customized SGA) were not SGA by INTERGROWTH-21st, and had a relative risk of 1.9 (95% confidence interval, 3.1–4.1) for stillbirth. An additional 0.2% of cases were SGA by INTERGROWTH-21st only, and had no increased risk of stillbirth. At the other end, customized assessment classified 9.5% of births as large for gestational age, most of which (9.0%) were also LGA by the INTERGROWTH-21st standard. INTERGROWTH-21st identified a further 11.6% as LGA, which, however, had a reduced risk of stillbirth (relative risk, 0.6; 95% confidence interval, 0.5–0.7).

Conclusion

Customized assessment resulted in increased identification of small for gestational age and stillbirth risk, while the wide variation in SGA rates using the INTERGROWTH-21st standard appeared to mostly reflect differences in physiological pregnancy characteristics in the 10 maternity populations.

Le texte complet de cet article est disponible en PDF.

Key words : birthweight, customized growth charts GROW, epidemiology, ethnicity, fetal growth, INTERGROWTH-21st, large for gestational age, pregnancy risk, small for gestational age, stillbirth


Plan


 Disclosure: All authors are employees of the Perinatal Institute, a not-for-profit organization that derives income from the provision of support services to health care organizations, which may include the GROW software for customized growth charts mentioned in this article.


© 2018  Elsevier Inc. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 218 - N° 2S

P. S692-S699 - février 2018 Retour au numéro
Article précédent Article précédent
  • A new customized fetal growth standard for African American women: the PRB/NICHD Detroit study
  • Adi L. Tarca, Roberto Romero, Dereje W. Gudicha, Offer Erez, Edgar Hernandez-Andrade, Lami Yeo, Gaurav Bhatti, Percy Pacora, Eli Maymon, Sonia S. Hassan
| Article suivant Article suivant
  • Fetal growth velocity and body proportion in the assessment of growth
  • Liran Hiersch, Nir Melamed

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Elsevier s'engage à rendre ses eBooks accessibles et à se conformer aux lois applicables. Compte tenu de notre vaste bibliothèque de titres, il existe des cas où rendre un livre électronique entièrement accessible présente des défis uniques et l'inclusion de fonctionnalités complètes pourrait transformer sa nature au point de ne plus servir son objectif principal ou d'entraîner un fardeau disproportionné pour l'éditeur. Par conséquent, l'accessibilité de cet eBook peut être limitée. Voir plus

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2026 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.