Analysis of correlated factors of hyperuricemia based on propensity score matching

doi:10.3877/cma.j.issn.2095-3216.2019.04.007

Abstract

Abstract:

Objective

To analyze the prevalence and related factors of hyperuricemia in the inland rural areas of northern China, so as to provide a basis for understanding the risk factors of hyperuricemia.

Methods

The data were obtained from a population of the Handan Eye Study (HES), by means of stratified, clustered, and probability proportional sampling methods to extract the respondents. Questionnaires, physical examination, and laboratory tests of blood and urine were conducted. The population was divided into two groups according to serum uric acid level: the hyperuricemia group and the normouricemia group. The propensity score matching module in the SPSS22.0 software was applied for propensity score matching analysis.

Results

The overall prevalence of hyperuricemia in this population was 2.51%(95/3 785), with 2.75%(47/1 711) in the male and 2.31%(48/2 074) in the female, respectively. The age, prevalence of hypertension, prevalence of diabetes mellitus, body mass index (BMI), waist-to-hip ratio (WHR), serum C reactive protein (CRP), serum total cholesterol (TCH), low density lipoprotein cholesterol (LDL-C), triglyceride (TG), and brachial-ankle pulse wave velocity (baPWV) were significantly higher in the hyperuricemia group than in the normouricemia group. The cigarette smoking rate and serum high density lipoprotein cholesterol (HDL-C) were significantly lower in the hyperuricemia group than in the normouricemia group. Logistic multiple regression analysis showed that male gender, increased BMI, increased CRP, non-smoking, and decreased eGFR were independently associated with hyperuricemia. The propensity score matching analysis showed that male gender, hypertension, diabetes mellitus, non-smoking, alcohol drinking, increased BMI, increased WHR, decreased eGFR, and increased urine albumin/creatinin ratio (ACR) were influence factors of hyperuricemia.

Conclusion

The results of the present study indicated that male gender, hypertension, diabetes mellitus, alcohol drinking, obesity, increased albuminuria, and decreased renal function were related factors to hyperuricemia.

Key words: Hyperuricemia, Prevalence, Risk factors

Guojuan Zhang, Ning Ding, Wen Huang, Liping Jiang, Ningli Wang. Analysis of correlated factors of hyperuricemia based on propensity score matching[J]. Chinese Journal of Kidney Disease Investigation(Electronic Edition), 2019, 08(04): 176-180.

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References 18

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?	高尿酸组(n＝95)	正常尿酸组(n＝3690)	t/χ²值	P值
年龄(岁)	57.0±11.96	51.5±10.59	－4.84	<0.001
性别(男)	47(49.5%)	1664(45.1%)	0.717	0.397
高血压	63(66.3%)	1813(49.1%)	10.939	0.001
糖尿病	12(12.6%)	233(6.3%)	6.105	0.013
吸烟	16(16.8%)	981(26.6%)	4.631	0.033
饮酒	21(22.1%)	717(19.4%)	0.422	0.516
卒中	2(2.1%)	88(2.4%)	1.025	0.599
BMI(kg/m²)	27.4±3.97	24.7±3.68	－7.001	<0.001
WHR	0.92±0.054	0.91±0.057	－2.697	0.007
CRP(mg/L)	4.00±6.1	2.04±4.7	－3.107	0.002
ACR(mg/g)	41.30±166.7	525.4±30176.8	0.156	0.876
eGFR[ml/(min·1.73 m²)]	80.39±11.4	98.04±115.92	1.484	0.138
TCH (mmol/L)	5.16±1.10	4.62±0.95	－5.481	<0.001
LDL－C (mmol/L)	3.12±0.72	2.71±0.65	－6.052	<0.001
HDL－C (mmol/L)	1.21±0.25	1.28±0.30	0.198	0.016
TG (mmol/L)	2.01±1.11	1.51±1.08	－4.287	<0.001
ABI	1.091±0.09	1.108±0.10	1.498	0.134
TBI	0.797±1.00	0.809±0.11	1.023	0.307
baPWV(cm/s)	1731.8±420.3	1578.77±367.7	－3.985	<0.001

?	高尿酸组(n＝95)	正常尿酸组(n＝3690)	t/χ²值	P值
年龄(岁)	57.0±11.96	51.5±10.59	－4.84	<0.001
性别(男)	47(49.5%)	1664(45.1%)	0.717	0.397
高血压	63(66.3%)	1813(49.1%)	10.939	0.001
糖尿病	12(12.6%)	233(6.3%)	6.105	0.013
吸烟	16(16.8%)	981(26.6%)	4.631	0.033
饮酒	21(22.1%)	717(19.4%)	0.422	0.516
卒中	2(2.1%)	88(2.4%)	1.025	0.599
BMI(kg/m²)	27.4±3.97	24.7±3.68	－7.001	<0.001
WHR	0.92±0.054	0.91±0.057	－2.697	0.007
CRP(mg/L)	4.00±6.1	2.04±4.7	－3.107	0.002
ACR(mg/g)	41.30±166.7	525.4±30176.8	0.156	0.876
eGFR[ml/(min·1.73 m²)]	80.39±11.4	98.04±115.92	1.484	0.138
TCH (mmol/L)	5.16±1.10	4.62±0.95	－5.481	<0.001
LDL－C (mmol/L)	3.12±0.72	2.71±0.65	－6.052	<0.001
HDL－C (mmol/L)	1.21±0.25	1.28±0.30	0.198	0.016
TG (mmol/L)	2.01±1.11	1.51±1.08	－4.287	<0.001
ABI	1.091±0.09	1.108±0.10	1.498	0.134
TBI	0.797±1.00	0.809±0.11	1.023	0.307
baPWV(cm/s)	1731.8±420.3	1578.77±367.7	－3.985	<0.001

?	B	S.E.	Exp(B)	Wald	P	95%CI
男性(0/1)	1.089	0.305	2.971	12.771	<0.001	1.635～5.398
吸烟(0/1)	－0.847	0.338	0.429	6.296	0.012	0.221～0.831
BMI(kg/m²)	0.097	0.02	1.102	22.791	<0.001	1.059～1.147
CRP(mg/L)	0.037	0.012	1.037	8.983	0.003	1.013～1.063
eGFR[ml/(min·1.73 m²)]	－0.076	0.011	0.926	50.339	<0.001	0.907～0.946

?	B	S.E.	Exp(B)	Wald	P	95%CI
男性(0/1)	1.089	0.305	2.971	12.771	<0.001	1.635～5.398
吸烟(0/1)	－0.847	0.338	0.429	6.296	0.012	0.221～0.831
BMI(kg/m²)	0.097	0.02	1.102	22.791	<0.001	1.059～1.147
CRP(mg/L)	0.037	0.012	1.037	8.983	0.003	1.013～1.063
eGFR[ml/(min·1.73 m²)]	－0.076	0.011	0.926	50.339	<0.001	0.907～0.946

变量	?	各组UA值	t值	P值
年龄(<65岁)	匹配后	271.21±66.95	0.679	0.497
?	?	268.18±70.52	?	?
性别(女)	匹配后	228.8±51.74	－23.843	<0.001
?	?	286.25±62.97	?	?
高血压(有)	匹配后	252.04±62.64	－2.352	0.019
?	?	257.83±62.13	?	?
糖尿病(有)	匹配后	262.80±68.18	2.097	0.037
?	?	249.30±74.23	?	?
吸烟(无)	匹配后	292.48±68.12	2.888	0.004
?	?	282.58±61.45	?	?
饮酒(无)	匹配后	277.88±60.81	－3.371	0.001
?	?	289.16±63.58	?	?
BMI(<25 kg/cm²)	匹配后	247.68±61.01	－7.06	<0.001
?	?	264.87±66.02	?	?
WHR(正常)	匹配后	285.2±61.94	－2.172	0.030
?	?	293.61±68.33	?	?
CRP(<8 mg/L)	匹配后	272.72±71.50	0.647	0.518
?	?	267.42±70.42	?	?
eGFR[<90 ml/(min·1.73 m²)]	匹配后	267.24±68.88	10.978	<0.001
?	?	238.61±57.88	?	?
TG(<1.7 mmol/L)	匹配后	259.58±63.78	－1.536	0.125
?	?	264.95±65.46	?	?
TC(<5.17 mmol/L)	匹配后	258.61±62.29	－0.479	0.633
?	?	262.47±75.03	?	?
HDL－C(<1.04 mmol/L)	匹配后	266.42±66.46	1.716	0.087
?	?	258.7±42.92	?	?
LDL－C(<3.37 mmol/L)	匹配后	262.7±64.68	－0.011	0.992
?	?	262.8±66.40	?	?
ACR(mg/g)	匹配后	259.94±65.31	2.42	0.016
?	?	251.09±63.93	?	?
ABI(<0.9)	匹配后	252.09±69.09	－0.242	0.809
?	?	254.02±63.79	?	?
TBI(<0.7)	匹配后	259.53±67.76	1.315	0.189
?	?	254.17±66.78	?	?
baPWV(<1400 cm/s)	匹配后	250.96±65.23	－1.465	0.143
?	?	255.43±63.52	?	?

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