Association Between the Cardiometabolic Index and Hyperuricemia in an Asymptomatic Population with Normal Body Mass Index

Figures & data

Table 1 Basic Characteristics of the Participants

Variable	Normal SUA	Hyperuricemia	χ^2/t/z	p value
No.	304	70
Males, n (%)	116 (38.16)	28 (40.00)	0.082	0.775^a
Age, year	44.00, 22.25	37.00, 19.50	−0.112	0.911^b
HC (cm)	90.11±3.30	89.68±3.19	0.998	0.319^c
WC (cm)	79.40, 6.55	78.30, 8.08	−1.001	0.317^b
BMI (Kg/m^2)	22.20, 2.25	21.15, 2.75	−1.662	0.097^b
WHR	0.88, 0.05	0.86, 0.06	−0.376	0.707^b
WHtR	0.48, 0.05	0.47, 0.05	−0.552	0.581^b
ABSI	0.79, 0.03	0.78, 0.03	−0.234	0.815^b
BAI	24.62±2.15	24.50±1.98	0.412	0.681^c
BRI	3.00, 0.85	2.90, 0.90	−0.426	0.670^b
VAI	1.00, 1.00	1.50, 1.13	−2.312	0.021^b
LAP	21.25, 17.98	19.47, 17.38	−0.019	0.985^b
CMI	0.34, 0.30	0.71, 0.66	−7.234	<0.001^b
FPG (mmol/L)	4.90, 0.70	5.15, 1.22	−3.140	0.002^b
Urea (mmol/L)	4.70, 1.80	5.10, 1.65	−3.429	0.001^b
SCr (μmol/L)	63.00, 16.50	74.50, 19.50	−6.876	<0.001^b
TC (mmol/L)	4.53, 1.22	4.70, 1.67	−1.510	0.131^b
TG (mmol/L)	0.97, 0.70	1.55, 1.38	−6.634	<0.001^b
HDL-C (mmol/L)	1.36, 0.34	1.16, 0.31	−5.671	<0.001^b
LDL-C (mmol/L)	2.96, 0.97	3.27, 1.26	−1.804	0.074^b
Diabetes, n (%)	14 (4.61)	7 (10.0)	3.125	0.077^a
Current Smoking n (%)	48 (15.79)	15 (21.43)	1.292	0.256^a
Drink, n (%)	104 (46.38)	40 (57.14)	2.638	0.104^a
DBP (mmHg)	83.00, 8.25	83.00, 11.25	−1.948	0.051^b
SBP (mmHg)	127.00, 13.25	123.50, 17.00	−1.600	0.110^b
Hypertension, n (%)	57 (18.75)	19 (27.14)	2.475	0.116^a

Notes: ^aChi-square test; ^bMann–Whitney U-test; ^cIndependent t test.

Abbreviations: HC, hip circumference; WC, waist circumference; WHR, waist to hip ratio; WHtR, waist height ratio; ABSI, a body shape index; BAI, body adiposity index; Bri, Body roundness index; VAI, visceral adiposity index; FPG, fasting plasma glucose; urea, serum urea; SCr, serum creatinine; SUA, serum uric acid; TC, total cholesterol; TG, Triglyceride; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol. SBP, systolic blood pressure; DBP, diastolic blood pressure.

Table 2 Partial Correlation Analysis of Different Anthropometric Indices and SUA Level

Anthropometric Indices	r	p value
ABSI	0.027	0.598
BAI	−0.047	0.369
BRI	−0.067	0.200
VAI	0.165	0.001
LAP	0.129	0.013
CMI	0.425	<0.001

Table 3 Incidence of Hyperuricemia in Quartiles of VAI, LAP and CMI

Quartile	Q1	Q2	Q3	Q4
VAI: n (%)	9 (9.38)	21 (21.21)	21 (24.42)	19 (20.43)
LAP: n (%)	17 (18.09)	19 (20.21)	15 (16.13)	19 (20.43)
CMI: n (%)	3 (3.06)	10 (11.11)	17 (18.09)	40 (43.48)

Notes: Q1, the lowest quartile, Q2, the lower quartile, Q3, the upper quartile, Q4, the highest quartile.

Figure 1 The incidence of hyperuricemia in per quartile for the CMI, and the Chi-square test results.

Table 4 Logistic Regression Analysis for Association Between Anthropometric Indices and Hyperuricemia

	Q1	Q2		Q3		Q4
		OR (95% CI)	p values	OR (95% CI)	p values	OR (95% CI)	p values
ABSI	≦0.77	0.77~0.78		0.78~0.80		>0.80
Model 1	1.000 (ref)	0.542 (0.219~1.340)	0.185	0.502 (0.220~1.144)	0.101	0.574 (0.168~1.964)	0.376
Model 2	1.000 (ref)	0.574 (0.252~1.308)	0.186	0.740 (0.360~1.519)	0.411	0.659 (0.220~1.979)	0.457
Model 3	1.000 (ref)	0.475 (0.175~1.290)	0.144	0.321 (0.110~0.935)	0.037	0.342 (0.067~1.749)	0.197
BAI	≦23.20	23.20~24.70		24.70~26.00		>26.00
Model 1	1.000 (ref)	1.549 (0.765~3.136)	0.224	1.046 (0.503~2.174)	0.905	0.734 (0.329~1.638)	0.450
Model 2	1.000 (ref)	1.648 (0.804~3.381)	0.173	1.022 (0.485~2.152)	0.955	0.551 (0.234~1.297)	0.173
Model 3	1.000 (ref)	2.204 (0.969~5.015)	0.059	1.435 (0.583~3.531)	0.432	0.643 (0.209~1.976)	0.643
BRI	≦2.50	2.50~2.90		2.90~3.30		>3.30
Model 1	1.000 (ref)	0.673 (0.336~1.348)	0.264	0.657 (0.315~1.371)	0.263	0.955 (0.464~1.964)	0.900
Model 2	1.000 (ref)	0.675 (0.333~1.365)	0.274	0.544 (0.245~1.209)	0.135	0.661 (0.276~1.583)	0.353
Model 3	1.000 (ref)	0.972 (0.372~2.539)	0.953	0.770 (0.207~2.867)	0.697	1.255 (0.269~5.848)	0.773
VAI	≦0.80	0.80~1.30		1.30~2.03		>2.03
Model 1	1.000 (ref)	2.603 (1.125~6.020)	0.025	3.123 (1.342~7.266)	0.008	2.482 (1.059~5.816)	0.036
Model 2	1.000 (ref)	2.899 (1.230~6.832)	0.015	3.361 (1.419~7.959)	0.006	2.813 (1.158~6.832)	0.022
Model 3	1.000 (ref)	1.920 (0.751~4.907)	0.173	1.588 (0.601~4.198)	0.351	1.688 (0.639~4.461)	0.291
LAP	≦12.66	12.66~19.55		19.55~28.69		>28.69
Model 1	1.000 (ref)	1.147 (0.554~2.375)	0.711	0.871 (0.406~1.867)	0.723	1.163 (0.562~2.408)	0.684
Model 2	1.000 (ref)	1.099 (0.514~2.349)	0.808	0.914 (0.420~1.989)	0.821	1.263 (0.580~2.751)	0.557
Model 3	1.000 (ref)	1.125 (0.468~2.707)	0.792	0.520 (0.206~1.312)	0.166	0.709 (0.268~1.872)	0.487
CMI	≦0.26	0.26~0.39		0.39~0.64		>0.64
Model 1	1.000 (ref)	3.958 (1.053~14.878)	0.042	6.991 (1.976~24.737)	0.003	24.359 (7.184~82.591)	<0.001
Model 2	1.000 (ref)	4.232 (1.121~15.981)	0.033	7.349 (2.067~26.123)	0.002	25.684 (7.527~87.642)	<0.001
Model 3	1.000 (ref)	3.540 (0.875~14.326)	0.076	5.488 (1.403~21.472)	0.013	16.674 (4.424~62.846)	<0.001

Notes: Model 1 was crude, Model 2 adjusted for age and gender: Model 3 adjusted for age, gender, BMI and biochemical indicators (FPG, urea, SCr, TC and LDL-C).

Table 5 ROC Curve of Different Anthropometric Indices Predictive Value for Hyperuricemia

Variable	AUC	Youden	Cutoff Value	Sensitivity	Specificity	95% CI		p value
						Lower	Upper
CMI	0.777	41.4%	0.655	57.1%	84.2%	0.719	0.835	<0.001
LAP	0.501	5.9%	22.260	43.1%	62.9%	0.425	0.577	0.985
VAI	0.592	21.1%	0.950	85.7%	35.4%	0.525	0.658	0.017
ABSI	0.507	7.5%	0.815	18.6%	89.0%	0.430	0.585	0.852
BAI	0.525	10.0%	25.85	28.6%	83.4%	0.453	0.570	0.515
BRI	0.521	9.1%	2.45	80.5%	28.6%	0.441	0.601	0.590

Figure 2 The predictive value of CMI and other anthropometric indices for hyperuricemia.