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Objective: When glucose records from self blood glucose monitoring (SBGM) do not reflect estimated average glucose from glycosylated hemoglobin (HgBA1) or when patients' clinical symptoms are not explained by their SBGM records, clinical management of diabetes becomes a challenge. Our objective was to determine the magnitude of differences in glucose values reported by SBGM versus those documented by continuous glucose monitoring (CGM)., Methods: The CGM was conducted by a clinical diabetes educator (CDE)/registered nurse by the clinic protocol, using the Medtronic iPRO2 ™ system. Patients continued SBGM and managed their diabetes without any change. Data from 4 full days were obtained, and relevant clinical information was recorded. De-identified data sets were provided to the investigators., Results: Data from 61 patients, 27 with type 1 diabetes (T1DM) and 34 with T2DM were analyzed. The lowest, highest, and average glucose recorded by SBGM were compared to the corresponding values from CGM. The lowest glucose values reported by SBGM were approximately 25 mg/dL higher in both T1DM ( P = .0232) and T2DM ( P = .0003). The highest glucose values by SBGM were approximately 30 mg/dL lower in T1DM ( P = .0005) and 55 mg/dL lower in T2DM ( P<.0001). HgBA1c correlated with the highest and average glucose by SBGM and CGM. The lowest glucose values were seen most frequently during sleep and before breakfast; the highest were seen during the evening and postprandially., Conclusion: SBGM accurately estimates the average glucose but underestimates glucose excursions. CGM uncovers glucose patterns that common SBGM patterns cannot., Abbreviations: CDE = certified diabetes educator; CGM = continuous glucose monitoring; HgBA1c = glycosylated hemoglobin; MAD = mean absolute difference; SBGM = self blood glucose monitoring; T1DM = type 1 diabetes; T2DM = type 2 diabetes.

Objective: Hemoglobin A1c (A1C) ≥5.7% is now accepted as a biomarker for identifying individuals at risk for diabetes. Compared to the general population, women with polycystic ovary syndrome (PCOS) have a higher risk for diabetes. Our goal was to determine what glucose homeostasis abnormalities can be identified by A1C ≥5.7% in women with PCOS., Methods: In a cross-sectional study, nondiabetic women with PCOS (according to the National Institutes of Health [NIH] criteria) were divided into 2 groups based on A1C (<5.7% [n = 23] and ≥5.7% [n = 25]). Oral glucose tolerance tests (OGTT) and frequently sampled intravenous glucose tolerance tests (FS-IVGTT) were conducted, and body composition, cardiovascular risk factors, and sex steroid levels were assessed., Results: Compared to women with A1C <5.7%, those with A1C ≥5.7% were older (35.1 ± 1.1 years vs. 31.1 ± 1.1 years; P = .04), had higher glucose levels at fasting and during OGTT, and had a lower insulin sensitivity index (SI: 2.0 ± 0.2 vs. 4.2 ± 0.6; P = .0195) and disposition index (DI: 1,014 ± 82 vs. 1,901 ± 217; P = .011) during FS-IVGTT. They also had higher triglycerides, high-sensitivity C-reactive protein (hs-CRP), and fatty acid-binding protein 4 (FABP4) levels. There was no difference in serum androgen levels., Conclusion: A1C ≥5.7% identified the subgroup of PCOS patients with higher insulin resistance, inadequate compensatory insulin response, impaired glucose disposition, and increased cardiovascular risk factors. Thus, A1C represents an inexpensive and informative biomarker to identify PCOS patients at risk for metabolic abnormalities.