PMID- 36456492
OWN - NLM
STAT- MEDLINE
DCOM- 20221205
LR  - 20221207
IS  - 0254-6450 (Print)
IS  - 0254-6450 (Linking)
VI  - 43
IP  - 10
DP  - 2022 Oct 10
TI  - [Relationship of serum uric acid with prediabetes and newly detected type 2 
      diabetes mellitus].
PG  - 1603-1610
LID - 10.3760/cma.j.cn112338-20220117-00041 [doi]
AB  - Objective: To evaluate the relationship of serum uric acid with prediabetes and 
      newly detected type 2 diabetes mellitus (T2DM) in adults. Methods: Data were 
      obtained from the baseline investigation of Songjiang Peak-Plan cohort. According 
      to the baseline fasting plasma glucose and glycosylated hemoglobin, the eligible 
      subjects were divided into normal blood sugar group, prediabetes group, and newly 
      detected T2DM group. Unconditional logistic regression model was used to explore 
      the effect of serum uric acid level on prediabetes and newly detected T2DM, and 
      restricted cubic spline (RCS) function was used to explore the nonlinear 
      dose-response relationship of serum uric acid level with the prevalence of 
      prediabetes and newly detected T2DM. Results: A total of 30 375 subjects were 
      included in the analysis, with an average age of (55.36+/-11.52) years, and 60.2% 
      (18 299) of them were women. The baseline survey found that the prevalence of 
      prediabetes was 38.6% (11 739 cases), and the prevalence of newly detected T2DM 
      was 6.6% (1 992 cases). Logistic regression analysis showed that, in women, for 
      every 10micromol/L increase in serum uric acid, the risk of developing prediabetes 
      and T2DM s increased by 2.4% (OR=1.024, 95%CI: 1.018-1.030), and 1.5% (OR=1.015, 
      95%CI: 1.005-1.025), respectively; in men, for every 10 micromol/L increase in serum 
      uric acid, the risk of developing prediabetes and T2DM decreased by 0.8% 
      (OR=0.992, 95%CI: 0.987-0.998) and 5.0% (OR=0.950, 95%CI: 0.939-0.960), 
      respectively. The RCS function showed that the serum uric acid level showed a 
      nonlinear dose-response relationship with newly detected T2DM (P=0.017), but not 
      with prediabetes (P=0.670) in women and showed a nonlinear dose-response 
      relationship with both prediabetes (P=0.040) and newly detected T2DM (P<0.001) in 
      men. Conclusions: Adult women are at increased risk of prediabetes and newly 
      detected T2DM with increase of serum uric acid level, and adult men are at 
      decreased risk of newly diagnosed T2DM with the increase of serum uric acid 
      level. There was no significant relationship between serum uric acid level and 
      prediabetes in men.
FAU - Wu, Q
AU  - Wu Q
AD  - School of Public Health, Fudan University, Shanghai 200032, China.
FAU - Guan, Y
AU  - Guan Y
AD  - Songjiang District Center for Disease Control and Prevention of Shanghai, 
      Shanghai 201620, China.
FAU - Xu, C Z
AU  - Xu CZ
AD  - Songjiang District Center for Disease Control and Prevention of Shanghai, 
      Shanghai 201620, China.
FAU - Wang, N
AU  - Wang N
AD  - School of Public Health, Fudan University, Shanghai 200032, China.
FAU - Liu, X
AU  - Liu X
AD  - School of Public Health, Fudan University, Shanghai 200032, China.
FAU - Jiang, F
AU  - Jiang F
AD  - School of Public Health, Fudan University, Shanghai 200032, China.
FAU - Zhao, Q
AU  - Zhao Q
AD  - School of Public Health, Fudan University, Shanghai 200032, China.
FAU - Sun, Y G
AU  - Sun YG
AD  - Songjiang District Center for Disease Control and Prevention of Shanghai, 
      Shanghai 201620, China.
FAU - Zhao, Genming
AU  - Zhao G
AD  - School of Public Health, Fudan University, Shanghai 200032, China.
FAU - Jiang, Yonggen
AU  - Jiang Y
AD  - Songjiang District Center for Disease Control and Prevention of Shanghai, 
      Shanghai 201620, China.
LA  - chi
GR  - 2017YFC0907000/Shanghai Local High-level Discipline Construction Project/
GR  - National Key Research and Development Program of China, "Precision Medicine 
      Research" Program/
PT  - English Abstract
PT  - Journal Article
PL  - China
TA  - Zhonghua Liu Xing Bing Xue Za Zhi
JT  - Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
JID - 8208604
RN  - 268B43MJ25 (Uric Acid)
RN  - 0 (Glycated Hemoglobin A)
SB  - IM
MH  - Adult
MH  - Male
MH  - Female
MH  - Humans
MH  - Middle Aged
MH  - Aged
MH  - *Prediabetic State/epidemiology
MH  - Uric Acid
MH  - *Diabetes Mellitus, Type 2/epidemiology
MH  - Glycated Hemoglobin
MH  - Fasting
EDAT- 2022/12/02 06:00
MHDA- 2022/12/06 06:00
CRDT- 2022/12/01 22:22
PHST- 2022/12/01 22:22 [entrez]
PHST- 2022/12/02 06:00 [pubmed]
PHST- 2022/12/06 06:00 [medline]
AID - 10.3760/cma.j.cn112338-20220117-00041 [doi]
PST - ppublish
SO  - Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Oct 10;43(10):1603-1610. doi: 
      10.3760/cma.j.cn112338-20220117-00041.