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. Author manuscript; available in PMC: 2021 Nov 3.
Published in final edited form as: South Med J. 2018 Apr;111(4):235–242. doi: 10.14423/SMJ.0000000000000795

Table 2.

Patient characteristics for predicting antibiotic prescription (multivariate analysis)

OR (95% CI) P
Race
 Black 1.000
 White 1.347 (1.260–1.440) <0.001
 Other 1.108 (1.007–1.219) 0.285
Age, y
 < 65 1.000
 ≥ 65 0.831 (0.779–0.887) 0.004
Temperature, °F
 < 100.4 1.000
 ≥ 100.4 1.663 (1.463–1.889) <0.001
SBP, mm Hg
 ≥ 100 1.000
 < 100 0.983 (0.910–1.060) 0.817
Pulse, bpm
 < 100 1.000
 ≥ 100 1.128 (1.066–1.194) 0.033
BMI
 < 25.0 1.000
 25.0–29.9 1.130 (1.086–1.176) 0.002
 ≥ 30.0 1.200 (1.153–1.249) <0.001
Smoking
 Never 1.000
 Quit 1.071 (1.030–1.113) 0.076
 Yes 1.143 (1.089–1.200) 0.006
Asthma 1.121 (1.063–1.181) 0.031
 PCP visit 0.862 (0.829–0.895) <0.001
Insurance
 Private 1.000
 Medicaid 0.575 (0.480–0.688) 0.002
 Medicare 1.098 (1.028–1.173) 0.156

BMI, body mass index; CI, confidence interval; OR, odds ratio; PCP, primary care provider; SBP, systolic blood pressure.