PMID- 34393494
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220425
IS  - 1178-7007 (Print)
IS  - 1178-7007 (Electronic)
IS  - 1178-7007 (Linking)
VI  - 14
DP  - 2021
TI  - Nomogram Model for Screening the Risk of Type II Diabetes in Western Xinjiang, 
      China.
PG  - 3541-3553
LID - 10.2147/DMSO.S313838 [doi]
AB  - OBJECTIVE: A simple type 2 diabetes mellitus (T2DM) screening model was 
      established preciously based on easily available variables for identifying 
      high-risk individuals in western Xinjiang, China. METHODS: A total of 458,153 
      cases participating in the national health examination were recruited. Logistic 
      regression and the least absolute shrinkage and selection operator (LASSO) models 
      were used for univariate analysis, factors selection, and the establishment of 
      prediction model. Receiver operating characteristic (ROC) curve, Hosmer-Lemeshow 
      test and clinical decision curve (CDA) were applied for evaluating the 
      discrimination, calibration and clinical validity, respectively. The optimal 
      threshold for predicting risk factors for T2DM has been estimated as well. 
      RESULTS: The nomogram depicted the risk of T2DM based on different genders, the 
      factors mainly consisted of age, family history of T2DM (FHOT), waist 
      circumference (WC), total cholesterol (TC), triglycerides (TG), low-density 
      lipoprotein cholesterol (LDLc), body mass index (BMI), high-density lipoprotein 
      cholesterol (HDLc), etc. The area under ROC of men and women was 0.864 and 0.816 
      in the development group, similarly in the validation group, which was 0.865 and 
      0.815, respectively. The calibration curve showed that the nomogram was accurate 
      for predicting the risk of T2DM, and the CDA proved great clinical application 
      value of the nomogram. Threshold values of the age, WC, TC, TG, HDLc, BMI in 
      different genders were 52.5 years old (men) and 48.5 years old (women), 85.50 cm 
      (men) and 89.9 cm (women), 4.94 mmol/L (men) and 4.94mmol/L (women), 1.26mmol/L 
      (men) and 1.67mmol/L (women), 1.40mmol/L (men) and 1.40mmol/L (women), 
      24.70kg/m(2) (men) and 24.95kg/m(2) (women), respectively. CONCLUSION: Our 
      results give a clue that the nomogram may be useful for identifying adults who 
      have high risk for diabetes, which is simple, affordable, with high credibility 
      and can be widely implemented. Further studies are needed to evaluate the utility 
      and feasibility of this model in various settings.
CI  - (c) 2021 Wang et al.
FAU - Wang, Yushan
AU  - Wang Y
AD  - Center of Health Management, The First Affiliated Hospital, Xinjiang Medical 
      University, Urumqi, People's Republic of China.
FAU - Zhang, Yushan
AU  - Zhang Y
AD  - College of Public Health, Xinjiang Medical University, Urumqi, People's Republic 
      of China.
FAU - Wang, Kai
AU  - Wang K
AD  - Department of Medical Engineering and Technology, Xinjiang Medical University, 
      Urumqi, People's Republic of China.
FAU - Su, Yinxia
AU  - Su Y
AD  - Center of Health Management, The First Affiliated Hospital, Xinjiang Medical 
      University, Urumqi, People's Republic of China.
FAU - Zhuge, Jinhui
AU  - Zhuge J
AD  - College of Public Health, Xinjiang Medical University, Urumqi, People's Republic 
      of China.
FAU - Li, Wenli
AU  - Li W
AD  - College of Public Health, Xinjiang Medical University, Urumqi, People's Republic 
      of China.
FAU - Wang, Shuxia
AU  - Wang S
AD  - Center of Health Management, The First Affiliated Hospital, Xinjiang Medical 
      University, Urumqi, People's Republic of China.
FAU - Yao, Hua
AU  - Yao H
AUID- ORCID: 0000-0002-9572-5578
AD  - Center of Health Management, The First Affiliated Hospital, Xinjiang Medical 
      University, Urumqi, People's Republic of China.
LA  - eng
PT  - Journal Article
DEP - 20210807
PL  - New Zealand
TA  - Diabetes Metab Syndr Obes
JT  - Diabetes, metabolic syndrome and obesity : targets and therapy
JID - 101515585
PMC - PMC8357405
OTO - NOTNLM
OT  - T2DM
OT  - nomogram
OT  - risk factor
OT  - risk predictive model
OT  - type 2 diabetes mellitus
COIS- The authors declare that they have no conflict of interest.
EDAT- 2021/08/17 06:00
MHDA- 2021/08/17 06:01
PMCR- 2021/08/07
CRDT- 2021/08/16 05:43
PHST- 2021/04/03 00:00 [received]
PHST- 2021/06/29 00:00 [accepted]
PHST- 2021/08/16 05:43 [entrez]
PHST- 2021/08/17 06:00 [pubmed]
PHST- 2021/08/17 06:01 [medline]
PHST- 2021/08/07 00:00 [pmc-release]
AID - 313838 [pii]
AID - 10.2147/DMSO.S313838 [doi]
PST - epublish
SO  - Diabetes Metab Syndr Obes. 2021 Aug 7;14:3541-3553. doi: 10.2147/DMSO.S313838. 
      eCollection 2021.