Table 2

Characteristics of patients with gout by disease duration (n=2763)

CharacteristicNewly diagnosed gout (n=152)History of gout (n=2611)Age-adjusted p value
Duration (years)≤1(1–4)(4–8)≥8
N152705732528646
Demographics
 Age61±1363±1362±1264±1268±11
 Male gender113 (74)541 (77)616 (84)456 (86)581 (90)
 Body mass index (kg/m²)28.2±4.529.0±4.829.3±4.629.4±4.729.3±4.90.05
 Waist circumference (cm)100±14102±13103±13105±13104±130.0003*
 Increased waist circumference92 (74)487 (78)539 (81)389 (83)463 (78)0.06**
History of gout
 ≥1 tophi3 (2)45 (6)65 (9)70 (13)110 (17)<0.0001
 History of kidney stone16 (11)51 (7)72 (10)82 (16)99 (15)<0.0001
Comorbidity
 Obesity47 (31)262 (37)283 (39)211 (40)259 (40)0.08
 Hypertension97 (64)439 (62)517 (71)377 (71)448 (69)<0.0001
 Diabetes35 (23)152 (22)180 (25)133 (25)183 (28)0.35
 Dyslipidaemia109 (73)492 (70)558 (76)434 (80)481 (75)0.0009
 Hypercholesterolaemia105 (69)470 (67)531 (73)404 (77)470 (73)0.008
 Hypertriglyceridaemia51 (34)234 (33)325 (45)231 (44)255 (40)<0.0001
 Metabolic syndrome44 (46)274 (58)350 (63)252 (63)310 (63)0.02
 Liver disorders10 (7)41 (6)72 (10)53 (10)50 (8)0.02
 Coronary heart disease14 (9)60 (9)53 (7)53 (10)94 (15)0.06***
 Heart failure5 (3)45 (6)54 (7)32 (6)46 (7)0.15
 Renal failure11 (7)66 (9)59 (8)35 (7)70 (11)0.25
 Cancer4 (3)16 (2)14 (2)8 (1)26 (4)0.29
  • Data are mean±SD for continuous variables, and number (%) for categorical variables. Comparisons were by analysis of variance or covariance analysis for continuous variables, and χ2 or logistic regression for binary variables. Unadjusted comparisons for age and gender were p<0.0001.

  • *p=0.0006 for comparisons adjusted on age and sex.

  • **p=0.02 for comparisons adjusted on age and sex.

  • ***p=0.19 for comparisons adjusted on age and sex.