Oral Presentation Society of Obstetric Medicine of Australia and New Zealand ASM 2026

MAMBO (Maternal metabolic health And Mother and Baby health Outcomes) observational cohort study: Risk prediction from baseline data (141854)

Sarah Price 1 2 3 , Alice Lewin 2 , Anna Krelle 2 4 , Megan Hawkins 1 , Disgsu Koye 1 , Alison Nankervis 2 5 , Stefan Kane 2 6
  1. Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
  2. Royal Womens Hospital, Flemington, Victoria, Australia
  3. Department of Obstetric Medicine, Frances Perry House, Ramsay Health, Melbourne, Victoria, Australia
  4. Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
  5. Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, Victoria, Australia
  6. Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, Victoria, Australia

Background: The first 1000 days of life is a critical period of development1. Observational2,3 and epidemiological studies4,5 suggests that babies born to mothers with pre-existing metabolic disease are more likely to be born large for gestational age (LGA) and ‘prone’ to metabolic disease in later life6.

Overall Aims: To develop a model that identifies a maternal phenotype that best predicts a mothers’ risk of giving birth to an LGA offspring.

Specific Aims:

  • To describe the rate of metabolic disease in MAMBO at baseline.
  • To determine of how well baseline maternal data predicts LGA offspring.

Methodology:  This is a prospective cohort study. We recruited n=501 pregnant women at <20±4 completed weeks of gestation. We collected maternal medical history and anthropometric data. Only women who had a livebirth (n=480) were included in the analysis.

Results: The mean (sd) age was 35.1 (4.6) years. 69% (331/480) women were Caucasian. 51.0% (245/480) were nulliparous. More than a quarter of the cohort had pre-existing metabolic disease including obesity 23% (107/480), diabetes 3.5% (17/480) or hypertension 11/480 (2.3%). 8.3% (40/480) of women had a LGA offspring in a previous pregnancy.  

Of singleton offspring, 17% (79/464) were LGA. The strongest predictors of LGA were previous LGA offspring (bias corrected OR4.70 (2.48-8.93)) and class 3 obesity (bias corrected OR 3.24 (1.49-7.07). Using maternal history and anthropometric data, we could predict the rate of LGA with modest reliability (AUC=0.707).

Conclusions:  Using only maternal baseline history and anthropometric data, we could predict LGA offspring with modest reliability.