Management of hyperlipidemia among patients with rheumatoid arthritis in the primary care setting

Table 2 Logistic regression for receipt of screening

		Univariable	Final Multivariable Model^a
		OR (95 % CI)	OR (95 % CI)
Age	≥50 versus <50	1.69 (1.31-2.18)	1.68 (1.29-2.18)
Sex	Female vs Male	0.94 (0.68-1.33)
Race	Caucasian	Ref
	Black or African American	1.31 (1.01-1.69)
	Asian	0.69 (0.29-1.62)
	Other or unknown	0.74 (0.45-1.21)
Hypertension		2.65 (1.72-4.10)	2.12 (1.35-3.32)
Hyperlipidemia Diagnosis		1.61 (0.58-4.46)
Diabetes mellitus		2.22 (1.61-3.07)	2.06 (1.48-2.87)
Obesity		2.62 (1.61-4.27)	2.52 (1.51-4.19)
BMI^a		1.04 (1.01-1.07)
BMI Category^a	Normal (18.5-24.9)	REF
	Overweight (25–29.9)	1.66 (0.93-2.96)
	Obese (≥30)	2.17 (1.24-3.78)
	Underweight (<18.5)	0.40 (0.10-1.62)
Peripheral Arterial Disease		1.92 (0.17-21.3)
Tobacco use	Current smoker vs non-smoker or past-smoker (n = 348)	0.70 (0.41-1.18)

The c-statistic (equivalent to area under the curve) for the model was 0.63 for the association between the predicted probabilities and observed responses for the final multivariable model
^aGiven the large amount of missing data for BMI and the risk for selection bias in using a complete case analysis, we have instead used a binary variable for obesity identified using ICD9 codes. The OR of 1.04 is for each unit increase in BMI

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