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Investigating predictive factors in treatment response with metformin in patients with gestational diabetes mellitus: a cross-sectional analytical-descriptive study

  • Azam Ghanei,
  • Mohammad Ali Fattahi,
  • Mohammadreza Gholami Banadkoki

摘要

Objective

As the utilization of metformin for gestational diabetes mellitus (GDM) treatment continues to rise, a substantial segment of these patients will ultimately necessitate insulin during their therapeutic journey. Hence, assessing patients’ clinical and laboratory attributes becomes invaluable in determining their likelihood of responding favorably to metformin medication. This discernment aids in selecting an optimal management approach, wherein the patients most likely to benefit significantly from metformin are identified, while alternative therapies like insulin are considered for individuals with a lower probability of treatment response.

Method

This was a cross-sectional analytical-descriptive study of individuals with GDM. Initially, the subject’s laboratory results and demographic information were submitted. Following that, metformin was administered to all subjects along with counseling on maintaining a healthy diet and lifestyle. Following a 4-week interval, the patients were reassessed and divided into two groups based on their response to metformin medication and then analyzed.

Result

807 people participated in this study, of which 329 people (40.8%) responded to treatment and the failure rate of metformin treatment was 59.2%. This research revealed that the predictive factors of response to metformin medication were, respectively, the amount of 1-hour oral glucose tolerance test (OGTT) (OR = 62.66), 2-hour postprandial plasma glucose (OR = 54.04), 2-hour OGTT (OR = 17.37), followed by the history of abortion (OR = 14.88), the number of pregnancies (gravida 3 and more) (OR = 5.06) and history of infertility (OR = 2.6).

Conclusion

The current study’s findings indicated that to enhance GDM care, metformin prescriptions should be prescribed to patients depending on their clinical characteristics and laboratory results.