Table 2.

Relationship between clinical variables and capillary and arterial glucose meter bias (compared to reference glucose). Slope estimate is from univariate linear regression with generalized estimating equations, and estimates magnitude of change in glucose meter bias per unit of variable (for continuous variables) or between groups (for categorical variables). Slope estimates include 95^th percentile confidence intervals. P < 0.05 indicates statistically significant relationship between variable and glucose meter bias.

		Capillary glucose meter bias		Arterial glucose meter bias
Variable	Unit change	Slope estimate (mg/dL) [95% CI]	P value	Slope estimate (mg/dL) [95% CI]	P value
Gender	Male vs Female	−0.38 [−2.18, 1.43]	0.68	0.34 [−1.23, 1.91]	0.67
Age	10 years	−0.59 [−1.30, 0.12]	0.11	−0.24 [−0.81, 0.33]	0.40
Diabetes status	Diabetes vs. no diabetes	−0.58 [−4.61, 3.44]	0.78	−2.68 [−6.44, 1.08]	0.19
Charlson age-adjusted comorbidity index	Risk score 4–6 vs. 0–3	−1.90 [−3.68, −0.11]	0.04	−1.09 [−2.65, 0.47]	0.17
Body mass index	1 kg/m2	−0.05[−0.17, 0.06]	0.34	−0.03 [−0.13, 0.07]	0.54
Mean systolic BP	10 mm Hg	−0.82 [−1.71, 0.06]	0.09	−0.48 [−1.02, 0.07]	0.10
Mean diastolic BP	10 mm Hg	−0.19 [−1.37, 0.99]	0.75	−0.73 [−1.40, −0.07]	0.03
Mean temperature	1 ° C	0.96 [−3.60, 5.53]	0.68	2.61 [−1.80, 7.02]	0.27
Mean heart rate	1 beat/minute	−0.03 [−0.15, 0.10]	0.67	−0.03 [−0.10, 0.05]	0.48