PMID- 35273562
OWN - NLM
STAT- MEDLINE
DCOM- 20220422
LR  - 20220422
IS  - 1664-2392 (Print)
IS  - 1664-2392 (Electronic)
IS  - 1664-2392 (Linking)
VI  - 13
DP  - 2022
TI  - Comparison of the Finnish Diabetes Risk Score Model With the Metabolic Syndrome 
      in a Shanghai Population.
PG  - 725314
LID - 10.3389/fendo.2022.725314 [doi]
LID - 725314
AB  - AIMS: This study aimed to compare the diagnostic accuracy of the metabolic 
      syndrome with the Finnish Diabetes Risk Score (FINDRISC) to screen for type 2 
      diabetes mellitus (T2DM) in a Shanghai population. METHODS: Participants aged 
      25-64 years were recruited from a Shanghai population from July 2019 to March 
      2020. Each participant underwent a standard metabolic work-up, including clinical 
      examination with anthropometry. Glucose status was tested using hemoglobin A1c 
      (HbAlc), 2h-post-load glucose (2hPG), and fasting blood glucose (FBG). The 
      FINDRISC questionnaire and the metabolic syndrome were examined. The performance 
      of the FINDRISC was assessed using the area under the receiver operating 
      characteristic curve (AUC-ROC). RESULTS: Of the 713 subjects, 9.1% were diagnosed 
      with prediabetes, whereas 5.2% were diagnosed with T2DM. A total of 172 subjects 
      had the metabolic syndrome. A higher FINDRISC score was positively associated 
      with the prevalence of T2DM and the metabolic syndrome. Multivariable linear 
      regression analysis demonstrated that the FINDRISC had a linear regression 
      relationship with 2hPG levels (b'= 036, p < 0.0001). The AUC-ROC of the FINDRISC 
      to identify subjects with T2DM among the total population was 0.708 (95% CI 
      0.639-0.776), the sensitivity was 44.6%, and the specificity was 90.1%, with 11 
      as the cut-off point. After adding FBG or 2hPG to the FINDRISC, the AUC-ROC among 
      the total population significantly increased to 0.785 (95% CI 0.671-0.899) and 
      0.731 (95% CI 0.619-0.843), respectively, while the AUC-ROC among the female 
      group increased to 0.858 (95% CI 0.753-0.964) and 0.823 (95% CI 0.730-0.916), 
      respectively (p < 0.001). The AUC-ROC of the metabolic syndrome to identify 
      subjects with T2DM among the total and female population was 0.805 (95% CI 
      0.767-0.844) and 0.830 (95% CI 0.788-0.872), respectively, with seven as the 
      cut-off point. CONCLUSIONS: The metabolic syndrome performed better than the 
      FINDRISC model. The metabolic syndrome and the FINDRISC with FBG or 2hPG in a 
      two-step screening model are both efficacious clinical practices for predicting 
      T2DM in a Shanghai population.
CI  - Copyright (c) 2022 Jin, Chen, Han, Liu, Cai, Yao and Lu.
FAU - Jin, Shenyi
AU  - Jin S
AD  - Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University 
      of Traditional Chinese Medicine, Shanghai University of Traditional Chinese 
      Medicine, Shanghai, China.
FAU - Chen, Qingguang
AU  - Chen Q
AD  - Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University 
      of Traditional Chinese Medicine, Shanghai University of Traditional Chinese 
      Medicine, Shanghai, China.
FAU - Han, Xu
AU  - Han X
AD  - Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University 
      of Traditional Chinese Medicine, Shanghai University of Traditional Chinese 
      Medicine, Shanghai, China.
FAU - Liu, Yahua
AU  - Liu Y
AD  - Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University 
      of Traditional Chinese Medicine, Shanghai University of Traditional Chinese 
      Medicine, Shanghai, China.
FAU - Cai, Mengjie
AU  - Cai M
AD  - Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University 
      of Traditional Chinese Medicine, Shanghai University of Traditional Chinese 
      Medicine, Shanghai, China.
FAU - Yao, Zheng
AU  - Yao Z
AD  - Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University 
      of Traditional Chinese Medicine, Shanghai University of Traditional Chinese 
      Medicine, Shanghai, China.
FAU - Lu, Hao
AU  - Lu H
AD  - Department of Endocrinology, Shuguang Hospital Affiliated to Shanghai University 
      of Traditional Chinese Medicine, Shanghai University of Traditional Chinese 
      Medicine, Shanghai, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220222
PL  - Switzerland
TA  - Front Endocrinol (Lausanne)
JT  - Frontiers in endocrinology
JID - 101555782
RN  - IY9XDZ35W2 (Glucose)
SB  - IM
MH  - China/epidemiology
MH  - *Diabetes Mellitus, Type 2/diagnosis/epidemiology
MH  - Female
MH  - Finland/epidemiology
MH  - Glucose
MH  - Humans
MH  - Male
MH  - *Metabolic Syndrome/diagnosis/epidemiology
MH  - Risk Factors
PMC - PMC8902815
OTO - NOTNLM
OT  - metabolic sydrome
OT  - prediabetes
OT  - primary screening
OT  - risk predictors
OT  - type 2 diabetes
COIS- The authors declare that the research was conducted in the absence of any 
      commercial or financial relationships that could be construed as a potential 
      conflict of interest.
EDAT- 2022/03/12 06:00
MHDA- 2022/04/23 06:00
PMCR- 2022/01/01
CRDT- 2022/03/11 05:39
PHST- 2021/06/15 00:00 [received]
PHST- 2022/01/27 00:00 [accepted]
PHST- 2022/03/11 05:39 [entrez]
PHST- 2022/03/12 06:00 [pubmed]
PHST- 2022/04/23 06:00 [medline]
PHST- 2022/01/01 00:00 [pmc-release]
AID - 10.3389/fendo.2022.725314 [doi]
PST - epublish
SO  - Front Endocrinol (Lausanne). 2022 Feb 22;13:725314. doi: 
      10.3389/fendo.2022.725314. eCollection 2022.