PMID- 37970128
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231117
IS  - 1948-9358 (Print)
IS  - 1948-9358 (Electronic)
IS  - 1948-9358 (Linking)
VI  - 14
IP  - 10
DP  - 2023 Oct 15
TI  - Analysis of influencing factors and interaction of body weight and disease 
      outcome in patients with prediabetes.
PG  - 1551-1561
LID - 10.4239/wjd.v14.i10.1551 [doi]
AB  - BACKGROUND: The trend of prediabetes progressing to type 2 diabetes mellitus 
      (T2DM) is prominent, and effective intervention can lead to a return to 
      prediabetes. Exploring the factors influencing the outcome of prediabetes is 
      helpful to guide clinical intervention. The weight change in patients with 
      prediabetes has not attracted much attention. AIM: To explore the interaction 
      between body weight and the factors affecting the progression of prediabetes to 
      T2DM. METHODS: We performed a retrospective analysis of 236 patients with 
      prediabetes and 50 with normal glucose tolerance (NGT), and collected clinical 
      data and follow-up results of all patients. Based on natural blood glucose 
      outcomes, we classified 66 patients with progression to T2DM into the disease 
      progression (DP) group, and 170 patients without progression to T2DM into the 
      disease outcome (DO) group. We analyzed the factors that influenced prediabetes 
      outcome and the influence of body weight on prediabetes blood glucose outcome by 
      unconditional logistic regression. A general linear model (univariate) was used 
      to analyze the inter-action between body weight and independent influencing 
      factors. RESULTS: There were 98 cases of impaired fasting glucose (IFG), 90 cases 
      of impaired glucose tolerance (IGT), and 48 cases of coexistent IFG and IGT. The 
      body weight, waist circumference, body mass index, fasting blood glucose, and 2 h 
      plasma glucose of patients with IFG, IGT, and coexistent IFG and IGT were higher 
      than those in patients with NGT (P < 0.05). Logistic regression analysis showed 
      that body weight, glycosylated hemoglobin, uric acid, fasting insulin, and 
      homeostatic model assessment for insulin resistance were independent factors 
      affecting progression of prediabetes to T2DM (P < 0.05). Receiver operating 
      characteristic curve analysis showed that the area under the curve predicted by 
      the above indicators combined was 0.905 [95% confidence interval (CI): 
      0.863-0.948], which was greater than that predicted by each indicator alone. 
      Logistic regression analysis with baseline body weight as an independent variable 
      showed that compared with body weight 1, the odds ratio (95%CI) of body weight 3 
      was 1.399 (1.142-2.126) (P = 0.033). There was a multiplicative interaction 
      between body weight and uric acid (beta = 1.953, P = 0.005). CONCLUSION: High body 
      weight in patients with prediabetes is an independent risk factor for progression 
      to T2DM, and the risk of progression is increased when coexisting with high uric 
      acid level.
CI  - (c)The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights 
      reserved.
FAU - Li, Yan-Yan
AU  - Li YY
AD  - Department of General Practice, The First People's Hospital of Wenling City, 
      Wenling 317500, Zhejiang Province, China.
FAU - Tong, Lin-Ping
AU  - Tong LP
AD  - Department of General Practice, The First People's Hospital of Wenling City, 
      Wenling 317500, Zhejiang Province, China.
FAU - Wu, Xian-Dan
AU  - Wu XD
AD  - Department of General Practice, The First People's Hospital of Wenling City, 
      Wenling 317500, Zhejiang Province, China.
FAU - Lin, Dan
AU  - Lin D
AD  - Department of Oncology, Yueyang Hospital of Integrated Traditional Chinese and 
      Western Medicine Affiliated to Shanghai University of Traditional Chinese 
      Medicine, Shanghai 200437, China.
FAU - Lin, Yue
AU  - Lin Y
AD  - Department of General Practice, The First People's Hospital of Wenling City, 
      Wenling 317500, Zhejiang Province, China.
FAU - Lin, Xiao-Yang
AU  - Lin XY
AD  - Department of General Medicine, The First People's Hospital of Wenling City, 
      Wenling 317500, Zhejiang Province, China. xiaoyanglin001@163.com.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - World J Diabetes
JT  - World journal of diabetes
JID - 101547524
PMC - PMC10642418
OTO - NOTNLM
OT  - Body weight
OT  - Disease outcome
OT  - Influencing factors
OT  - Interactions
OT  - Low-carbohydrate diet
OT  - Prediabetes
OT  - Type 2 diabetes mellitus
COIS- Conflict-of-interest statement: All the authors report no relevant conflicts of 
      interest for this article.
EDAT- 2023/11/16 06:45
MHDA- 2023/11/16 06:46
PMCR- 2023/10/15
CRDT- 2023/11/16 04:28
PHST- 2023/08/01 00:00 [received]
PHST- 2023/08/22 00:00 [revised]
PHST- 2023/09/06 00:00 [accepted]
PHST- 2023/11/16 06:46 [medline]
PHST- 2023/11/16 06:45 [pubmed]
PHST- 2023/11/16 04:28 [entrez]
PHST- 2023/10/15 00:00 [pmc-release]
AID - 10.4239/wjd.v14.i10.1551 [doi]
PST - ppublish
SO  - World J Diabetes. 2023 Oct 15;14(10):1551-1561. doi: 10.4239/wjd.v14.i10.1551.