| Patient variables | Adjusted odds ratio (95% CI) | Adjusted odds ratio (95% CI) |
| All patients | Men only | |
| Gender, male | 1.00 (0.90–1.10) | NA |
| Age: | ||
| 65–74 | 1.50 (1.33–1.69) | 1.64 (1.30–2.08) |
| 75–84 | 1.35 (1.22–1.49) | 1.28 (1.02–1.59) |
| 85+ | 1.00 | 1.00 |
| Race: | ||
| African–American | 1.86 (1.52–2.27) | 1.87 (1.31–2.68) |
| Other | 1.57 (0.96–2.58) | 1.58 (0.51–4.94) |
| Caucasian | 1.00 | 1.00 |
| Health care utilisation: | ||
| Acute care hospitalisations, none | 1.18 (1.07–1.31) | 1.04 (0.86–1.27) |
| Different drugs: | ||
| 0–7 | 1.40 (1.24–1.57) | 1.59 (1.28–1.99) |
| 8–12 | 1.19 (1.08–1.32) | 1.06 (0.87–1.31) |
| 13+ | 1.00 | 1.00 |
| Comorbidity: | ||
| 0–1 | 1.35 (1.20–1.53) | 1.36 (1.07–1.72) |
| 2–3 | 1.12 (1.01–1.24) | 1.30 (1.06–1.60) |
| 4+ | 1.00 | 1.00 |
| Gout related factors: | ||
| Diagnosis of tophaceous gout, none | 1.48 (1.03–2.12) | 1.54 (0.72–3.29 |
| Number of colchicine prescriptions, none | 1.14 (1.00–1.29) | 1.03 (0.81–1.31) |
| UALT prescriber, non-nephrologist, non-rheumatologist | 1.15 (0.96–1.38) | 1.09 (0.77–1.56) |
Variables considered for the multivariable models included all those in table 1. A backward selection routine was used to determine variables for the final models. NA, not applicable since model was stratified on gender. Reference groups are as follows: female gender, age 85+, Caucasian race, physician visits 0–6, 1 or more acute care hospitalisations, 13+ different medications, 4+ comorbid conditions, a prior diagnosis of tophaceous gout, at least 1 colchicine prescription, and specialist (nephrologists or rheumatologist) as index prescriber.