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. 2016 Dec 5;8(3):314–320. doi: 10.1111/jdi.12589

Table 4.

Clinical markers of glycemia variables at discharge and recording of hemoglobin A1c after 12 weeks of <7% analyzed by univariate and multiple logistic regression analyses

Univariate logistic regression Multiple logistic regression
Wald χ2 P OR (95% CI) Wald χ2 P OR (95% CI)
Sex (male/female) 0.4 0.425 1.68 (0.48–6.38)
Duration of diabetes 6.8 <0.001 0.87 (0.77–0.96) 8.4 0.004 0.83 (0.72–0.93)
HbA1c at baseline 3.0 0.086 0.73 (0.49–1.03)
eGFR 0.1 0.730 1.00 (0.99–1.02)
MBG 3.4 0.059 0.97 (0.94–1.00)
SD 6.3 0.012 0.93 (0.87–0.98)
CV 4.9 0.026 0.90 (0.81–0.98)
MPPGE 1.7 0.195 0.99 (0.96–1.01)
Max 2.8 0.095 0.99 (0.98–1.00)
Min 2.1 0.147 1.03 (0.99–1.08)
Time at ≥180 6.0 0.014 0.94 (0.88–0.98) 7.4 0.007 0.91 (0.84–0.97)
Time at ≥140 3.8 0.058 0.97 (0.94–1.00)
Time at <70 1.4 0.24 0.63 (0.23–1.39)

Only factors with P < 0.25 on univariate logistic regressions (duration and hemoglobin A1c [HbA1c] at baseline, MBG, mean blood glucose; SD, standard deviation; CV, coefficient of variation; MPPGE, mean of postprandial glucose excursion; Max, maximum; Min, minimum; time at blood glucose ≥180 mg/dL, time at blood glucose ≥140 mg/dL and time at blood glucose <70 mg/dL) were included in this multiple factor logistic regression. MBG, SD, MPPGE, Max, Min, time at blood glucose ≥180 mg/dL, time at blood glucose ≥140 mg/dL and time at blood glucose <70 mg/dL were measured by the continuous glucose monitoring system.