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Table 1. The characteristics of study subjects after propensity score matching.

Variables Non-gout patients Gout patients Total p-value*
N % N % N
Total 38450 100.00 7690 100.00 46140
Gender# 0.996
 Male 31866 82.88 6373 82.87 38239
 Female 6584 17.12 1317 17.13 7901
Age (years) # 52.27 ± 16.30 53.02 ± 15.40 52.39 ± 16.16 1.000
 ≤ 34 4865 12.65 973 12.65 5838
 35~44 6551 17.04 1310 17.04 7861
 45~54 9585 24.93 1917 24.93 11502
 55~64 7790 20.26 1558 20.26 9348
 65~74 6150 15.99 1230 15.99 7380
 ≥ 75 3509 9.13 702 9.13 4211
Month insurance salary (NTD) # 1.000
 ≤ 17,280 6465 16.81 1293 16.81 7758
 Dependent 7865 20.46 1573 20.46 9438
 17,281~22,800 11294 29.37 2258 29.36 13552
 ≥ 22,801 12826 33.36 2566 33.37 15392
Urbanization# 1.000
 Level 1 11910 30.98 2382 30.98 14292
 Level 2 11310 29.41 2262 29.41 13572
 Level 3 5750 14.95 1150 14.95 6900
 Level 4 5230 13.60 1046 13.60 6276
 Level 5 925 2.41 185 2.41 1110
 Level 6 1789 4.65 357 4.64 2146
 Level 7 1536 3.99 308 4.01 1844
HTN < 0.001
 No 32577 84.73 4186 54.43 36763
 Yes 5873 15.27 3504 45.57 9377
HPL < 0.001
 No 35339 91.91 4596 59.77 39935
 Yes 3111 8.09 3094 40.23 6205
DM < 0.001
 No 35317 91.85 6363 82.74 41680
 Yes 3133 8.15 1327 17.26 4460
Major illness 0.001
 No 37396 97.26 7427 96.58 44823
 Yes 1054 2.74 263 3.42 1317

* Used Chi-square test to exam the difference of characteristics distribution. # Variables for propensity score matching.

DM, diabetes mellitus; HPT, hyperlipidemia; HTN, hypertension.