PMID- 33061700
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220417
IS  - 1179-1594 (Print)
IS  - 1179-1594 (Electronic)
IS  - 1179-1594 (Linking)
VI  - 13
DP  - 2020
TI  - Study on the Risk Factors for Hyperuricaemia and Related Vascular Complications 
      in Patients with Type 2 Diabetes Mellitus.
PG  - 1661-1675
LID - 10.2147/RMHP.S255042 [doi]
AB  - PURPOSE: The study aimed to identify diseases that exhibit significant 
      differences between hyperuricaemia (HUA) and non-hyperuricaemia (NHUA) groups and 
      analyse the risk factors for HUA based on the related diseases in type 2 diabetes 
      mellitus (T2DM). METHODS: A total of 3264 T2DM patients were investigated from 
      2013 to 2017 in the Jinyang and Sanlin communities by obtaining basic data from 
      the electronic medical record system (EMRS). From September 2018 to July 2019, 
      3000 patients (264 patients were missing during follow-up) were investigated with 
      questionnaires, physical examinations and biochemical index tests. After removing 
      missing values, 2899 patients were divided into HUA and NHUA groups. The 
      chi-square test was used to identify diseases with differences. Using Lasso 
      analysis and logistic regression analysis, risk factors for HUA based on the 
      related diseases were obtained. The C-index, receiver operating characteristic 
      (ROC) curve and calibration plot were used to validate the discrimination and 
      accuracy of the factors. RESULTS: The chi-square test showed that there were 
      significant differences in coronary heart disease (CHD) and diabetic nephropathy 
      (DN) between the HUA group and the NHUA group. Through Lasso regression, 
      glycosylated haemoglobin A1c (HbA1c), triglyceride (TG), blood urea nitrogen 
      (BUN) and serum creatinine (SCR) were screened in the CHD group. Body mass index 
      (BMI), HbA1c, total cholesterol (TC), TG, BUN, SCR and urine microalbumin (UMA) 
      were screened in the DN group. The P-value of all the variables was less than 
      0.05. Through the C-index, calibration, and ROC curve analyses, these risk 
      factors had medium accuracy. CONCLUSION: HUA was significantly related to CHD and 
      DN. The level of UA was correlated with HbA1c, TG, BUN, and SCR based on CHD. The 
      level of UA was associated with BMI, HbA1c, TC, TG, BUN, SCR, and UMA based on 
      DN.
CI  - (c) 2020 Shi et al.
FAU - Shi, Rong
AU  - Shi R
AD  - School of Public Health, Shanghai University of Traditional Chinese Medicine, 
      Shanghai, People's Republic of China.
FAU - Niu, Zheyun
AU  - Niu Z
AD  - School of Public Health, Shanghai University of Traditional Chinese Medicine, 
      Shanghai, People's Republic of China.
FAU - Wu, Birong
AU  - Wu B
AD  - School of Public Health, Shanghai University of Traditional Chinese Medicine, 
      Shanghai, People's Republic of China.
FAU - Hu, Fan
AU  - Hu F
AUID- ORCID: 0000-0002-7929-6953
AD  - School of Public Health, Shanghai University of Traditional Chinese Medicine, 
      Shanghai, People's Republic of China.
LA  - eng
PT  - Journal Article
DEP - 20200921
PL  - England
TA  - Risk Manag Healthc Policy
JT  - Risk management and healthcare policy
JID - 101566264
PMC - PMC7518772
OTO - NOTNLM
OT  - complications
OT  - hyperuricaemia
OT  - risk factors
OT  - type 2 diabetes mellitus
COIS- The authors declare no conflicts of interest in this work.
EDAT- 2020/10/17 06:00
MHDA- 2020/10/17 06:01
PMCR- 2020/09/21
CRDT- 2020/10/16 05:52
PHST- 2020/03/22 00:00 [received]
PHST- 2020/08/17 00:00 [accepted]
PHST- 2020/10/16 05:52 [entrez]
PHST- 2020/10/17 06:00 [pubmed]
PHST- 2020/10/17 06:01 [medline]
PHST- 2020/09/21 00:00 [pmc-release]
AID - 255042 [pii]
AID - 10.2147/RMHP.S255042 [doi]
PST - epublish
SO  - Risk Manag Healthc Policy. 2020 Sep 21;13:1661-1675. doi: 10.2147/RMHP.S255042. 
      eCollection 2020.