Predictors of Metformin Failure: Repurposing Electronic Health Record Data to Identify High-Risk Patients

Suzette J. Bielinski, Licy L. Yanes Cardozo, Paul Y. Takahashi, Nicholas B. Larson, Alexandra Castillo, Alana Podwika, Eleanna De Filippis, Valentina Hernandez, Gouri Mahajan, Crystal Gonzalez,

The Journal of Clinical Endocrinology & Metabolism · 2023 · 11 citations · 26 references

DOIFull text

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Abstract

Baseline HbA1c was the strongest predictor of metformin failure and additional factors substantially improved performance suggesting that routinely available clinical data could be used to identify patients at high risk of metformin failure who might benefit from closer monitoring and earlier treatment intensification.

References

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