Selective versus universal screening for gestational diabetes mellitus: an evaluation of predictive risk factors

Med J Aust. 2001 Feb 5;174(3):118-21. doi: 10.5694/j.1326-5377.2001.tb143181.x.

Abstract

Objective: To assess whether selective screening for gestational diabetes mellitus (GDM) on the basis of risk-factor assessment is a practicable alternative to universal screening.

Design: Case-control study.

Setting: A 212-bed regional specialist hospital in Melbourne, providing services in obstetrics and gynaecology, paediatrics, geriatrics and rehabilitation.

Subjects: 6,032 women who gave birth at the hospital, May 1996 to August 1997 and November 1997 to August 1998; all were screened for GDM, and 313 were diagnosed with the condition.

Main outcome measures: Odds ratios (ORs) for risk factors (age, obesity, family history of diabetes mellitus and high-risk racial heritage) in women with GDM compared to those without GDM; proportion of women with GDM whose diagnosis would have been missed by selective screening.

Results: ORs were 1.9 for age > or = 25 years (95% CI, 1.3-2.7), 2.3 for body mass index > or = 27kg/m2 (95% CI, 1.6-3.3), 2.5 for high-risk racial heritage (95% CI, 2.0-3.2), and 7.1 for family history of diabetes mellitus (95% CI, 5.6-8.9). Other proposed criteria (previous GDM and glycosuria) added no further diagnostic power. Selective screening using the above four criteria would have missed two of 313 cases (0.6%) and could have saved screening up to 1,025 women without GDM (17% of all women).

Conclusions: Selective screening for GDM based on prior risk assessment can reduce the need for testing, with negligible loss of diagnostic efficiency.

MeSH terms

  • Adult
  • Age Factors
  • Algorithms
  • Body Mass Index
  • Case-Control Studies
  • Diabetes, Gestational / epidemiology
  • Diabetes, Gestational / prevention & control*
  • Family Health
  • Female
  • Humans
  • Mass Screening*
  • Odds Ratio
  • Patient Selection*
  • Pregnancy
  • Racial Groups
  • Risk Factors
  • Victoria / epidemiology