Table 1

Baseline characteristics of 102 703 patients with gout

Total (N=102 703)0–1 Flares (N=89 201)2 Flares (N=9714)3+ Flares (N=3788)
Age (mean, SD)58.1 (13.9)58.3 (13.9)56.6 (13.8)*57.0 (13.9)*
Gender (% male)77.477.079.6*79.3*
Insurance type (%)
 Commercial76.976.977.675.9
 Medicare advantage23.123.122.524.1
Geographic region (%)
 Northeast10.210.39.5*9.5
 Midwest25.926.224.5*23.2*
 South49.548.853.1*55.6*
 West14.414.712.9*11.7*
 Other0.020.020.00.0
Race (%)
 White71.872.269.8*68.0*
 Black13.813.416.4*17.9*
 Hispanic6.36.36.16.5
 Asian2.92.93.12.6
 Other1.11.11.01.0
 Missing/unknown4.14.13.6*4.0
Net worth (%)
 <$25 0008.07.89.1*10.4*
 $25 000–$149 99919.318.822.3*22.0*
 $150 000–$249 99915.415.315.415.6
 $250 000–$499 99925.625.824.7*23.8*
 ≥$500 00022.422.919.6*18.3*
 Missing/unknown9.49.49.010.0
Quan-Charlson comorbidity score (mean, SD)0.6 (1.2)0.6 (1.2)0.6 (1.1)0.7 (1.2)*
Comorbidities of interest (%)
 Renal impairment20.420.221.2*23.4*
 Overweight/obese9.69.510.111.0*
 Diabetes28.929.226.9*26.5*
 Cardiovascular conditions75.976.272.9*75.8
Baseline sUA level
 Patients with data (n)14 64112 7411358542
 sUA level (mean, SD)7.5 (2.0)7.4 (2.0)8.3 (1.8)*8.7 (1.9)*
  • *p<0.05 vs 0–1 flares cohort.