open access publication

Article, 2024

Prediction of large‐for‐gestational‐age at birth using fetal biometry in type 1 and type 2 diabetes: A retrospective cohort study

International Journal of Gynecology & Obstetrics, ISSN 1879-3479, 0020-7292, 10.1002/ijgo.15711

Contributors

Rathcke, Sidsel Linneberg 0000-0002-5408-2684 (Corresponding author) [1] [2] [3] Sinding, Marianne M 0000-0001-9069-7806 [1] [2] Christensen, Trine Tang [1] [3] Uldbjerg, Niels 0000-0002-6449-6426 [4] [5] Christiansen, Ole Bjarne [1] Kornblad, Julia [1] Søndergaard, Kamilla H. [2] Krogh, Sofie [2] Sørensen, Anne Nødgaard 0000-0003-2191-4138 [1] [2]

Affiliations

  1. [1] Aalborg University Hospital
  2. [NORA names: North Denmark Region; Hospital; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Aalborg University
  4. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Steno Diabetes Center North Jutland
  6. [NORA names: Steno Diabetes Centers; Hospital; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Aarhus University
  8. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  9. [5] Aarhus University Hospital
  10. [NORA names: Central Denmark Region; Hospital; Denmark; Europe, EU; Nordic; OECD]

Abstract

OBJECTIVE: To compare ultrasound-assessed fetal head circumference (HC), abdominal circumference (AC), HC/AC ratio, and estimated fetal weight (EFW) in prediction of large-for-gestational-age (LGA) at birth in pregnancies affected by type 1 (T1DM) and type 2 (T2DM) diabetes. METHODS: This retrospective cohort study included all women with T1DM and T2DM giving birth to singletons between 2010 and 2019 at Aalborg University Hospital, Denmark. Ultrasound scans were performed at 16, 20, 28 and 34 weeks of pregnancy. LGA was defined as birth weight deviation of 15% or greater from the expected for gestational age (≥90th centile). Prediction of LGA was assessed by logistic regression adjusted for maternal characteristics and glycated hemoglobin (HbA1c) and area under the receiver operating characteristics curve (AUC). RESULTS: Among 180 T1DM pregnancies, 118 (66%) had an LGA neonate at birth. At 28 weeks of pregnancy, they were predicted with AUCHC/AC = 0.67, AUCAC = 0.85, and AUCEFW = 0.86. The multivariate analysis did not improve the predictive performance of the HC/AC ratio or AC. Among 87 T2DM pregnancies, 36 (41%) had an LGA neonate at birth. At 28 weeks, they were predicted with AUCHC/AC = 0.73, AUCAC = 0.83, and AUCEFW = 0.87. In T2DM, the multivariate analysis significantly improved the predictive performance for both HC/AC ratio and AC from 20 weeks of pregnancy. CONCLUSION: In T1DM and T2DM pregnancies, LGA is characterized by a general fetal overgrowth including both AC and HC. Therefore, AC and EFW perform better than the HC/AC ratio in the prediction of LGA. In T2DM, as opposed to T1DM, the predictive performance was improved by the inclusion of maternal characteristics and HbA1c in the analysis.

Keywords

Aalborg, Aalborg University Hospital, Denmark, HC/AC, HC/AC ratio, HbA, T1DM, T1DM pregnancies, T2DM, University Hospital, abdominal circumference, age, analysis, area, area under the receiver operating characteristic curve, biometry, birth, birth weight deviation, centile, characteristic curve, characteristics, circumference, cohort study, curves, deviation, diabetes, estimated fetal weight, fetal biometry, fetal head circumference, fetal overgrowth, fetal weight, gestational age, glycated hemoglobin, head circumference, hemoglobin, hospital, inclusion, large-for-gestational-age, large-for-gestational-age neonates, logistic regression, maternal characteristics, multivariate analysis, neonates, operating characteristics curve, overgrowth, performance, prediction, prediction of large-for-gestational-age, predictive performance, pregnancy, ratio, receiver operating characteristic curve, regression, retrospective cohort study, scanning, singleton, study, type, type 1, type 2, type 2 diabetes, ultrasound, ultrasound scan, weeks, weeks of pregnancy, weight, weight deviation, women

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