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The bootstrapping method was used to estimate average BG and corresponding HbA1c.
2
Subgroup analyses were done in diabetic patients according to their Hba1C levels.
3
HbA1c determinations were centralized in a Diabetes Control and Complications Trial-controlled laboratory.
4
The HbA1c is a really important test that we use all the time.
5
Conclusions: This study showed that HbA1c is a good predictor of in-hospital morbidity.
1
Some SMBG time points had a stronger association with A1C than others.
2
Higher levels of A1c suggest worse blood sugar control and possibly diabetes.
3
Blood pressure and hemoglobin A1c did not differ among the four groups.
4
They were more likely to document patient height, urinalyses results, and A1C values.
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High A1C levels mean a high risk of complications from diabetes.
1
Primary outcome: We evaluated mean change in blood glycatedhemoglobin levels.
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Glycemic control was based on glycatedhemoglobin levels and fasting blood glucose test.
3
Measurements and main results: We used admission glycatedhemoglobin to estimate premorbid baseline blood glucose concentration.
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Higher total cholesterol, glycatedhemoglobin and insulin resistance parameters are connected with lower central dopamine tone.
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Glucose-lowering therapies were granted regulatory approval primarily from smaller studies that have demonstrated reductions in glycatedhemoglobin concentration.
1
Blood pressure and hemoglobinA1c did not differ among the four groups.
2
BP and insulin resistance, reflected by hemoglobinA1c, were among cardiovascular risk factors.
3
Lipid profile, hemoglobinA1c and systemic blood pressure were measured in all patients.
4
Blood pressure, blood levels of hemoglobinA1c, and serum lipids were also measured.
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These so-called hemoglobinA1c levels reflect average blood sugar levels over about three months.
1
Baseline BMI predicted greater fasting glucose and HgbA1c levels at 12 months for both treatments.