Can we predict the need for pharmacological treatment according to demographic and clinical characteristics in gestational diabetes?

Abstract

Objective: To determine the ability to predict the need for pharmacological treatment in gestational diabetes mellitus (GDM).

Method: A retrospective cohort study. Data were collected from medical records of 1324 GDM patients including demographic data, family history of diabetes, obstetrical history, laboratory results, treatment modality and level of glycemic control. Patients who were identified as pre-gestational diabetes were excluded.

Results: Overall, 143 (10.8%) GDM patients required pharmacological therapy. Of women who had GDM in their previous pregnancy; only 11.65% achieved desired glycemic control solely by diet treatment. Moreover, 62.5% of patients requiring pharmacological therapy in their previous pregnancy achieved desired level of glycemic control only by diet. Of patients who achieved desired level of glycemic control on diet until the second antenatal visit, 95% continued to maintain desired level glycemic control throughout pregnancy. Pre-pregnancy BMI >30, fasting plasma glucose >95 mg/dL and maternal age above 30 were associated with increase need for pharmacological treatment. One abnormal value in the OGTT and GCT result >2 mg/dL did not predict the need for pharmacological therapy. Primigravida and family history of GDM were not found to be predictors for treatment modality.

Conclusion: Using clinical and demographical data can predict the need for pharmacological treatment for GDM.

• Gestational diabetes mellitus
• glyburide
• insulin
• pharmacological
• prediction
• treatment

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Corrigendum

Declaration of interest

The authors report no conflict of interest.