PMID- 36465620
OWN - NLM
STAT- MEDLINE
DCOM- 20221206
LR  - 20221213
IS  - 1664-2392 (Print)
IS  - 1664-2392 (Electronic)
IS  - 1664-2392 (Linking)
VI  - 13
DP  - 2022
TI  - Diabetic retinopathy risk prediction in patients with type 2 diabetes mellitus 
      using a nomogram model.
PG  - 993423
LID - 10.3389/fendo.2022.993423 [doi]
LID - 993423
AB  - BACKGROUND: This study aims to develop a diabetic retinopathy (DR) hazard 
      nomogram for a Chinese population of patients with type 2 diabetes mellitus 
      (T2DM). METHODS: We constructed a nomogram model by including data from 213 
      patients with T2DM between January 2019 and May 2021 in the Affiliated Hospital 
      of Zunyi Medical University. We used basic statistics and biochemical indicator 
      tests to assess the risk of DR in patients with T2DM. The patient data were used 
      to evaluate the DR risk using R software and a least absolute shrinkage and 
      selection operator (LASSO) predictive model. Using multivariable Cox regression, 
      we examined the risk factors of DR to reduce the LASSO penalty. The validation 
      model, decision curve analysis, and C-index were tested on the calibration plot. 
      The bootstrapping methodology was used to internally validate the accuracy of the 
      nomogram. RESULTS: The LASSO algorithm identified the following eight predictive 
      variables from the 16 independent variables: disease duration, body mass index 
      (BMI), fasting blood glucose (FPG), glycated hemoglobin (HbA1c), homeostatic 
      model assessment-insulin resistance (HOMA-IR), triglyceride (TG), total 
      cholesterol (TC), and vitamin D (VitD)-T3. The C-index was 0.848 (95% CI: 
      0.798-0.898), indicating the accuracy of the model. In the interval validation, 
      high scores (0.816) are possible from an analysis of a DR nomogram's decision 
      curve to predict DR. CONCLUSION: We developed a non-parametric technique to 
      predict the risk of DR based on disease duration, BMI, FPG, HbA1c, HOMA-IR, TG, 
      TC, and VitD.
CI  - Copyright (c) 2022 Wang, Zeng, Tang, Yang, Yao, Zhang, Zhang, Zhang, Nie, Liao and 
      Jiang.
FAU - Wang, Qian
AU  - Wang Q
AD  - Department of Endocrinology, Affiliated Hospital of Zunyi Medical University, 
      Zunyi, China.
FAU - Zeng, Ni
AU  - Zeng N
AD  - Department of Dermatology, Affiliated Hospital of Zunyi Medical University, 
      Zunyi, China.
FAU - Tang, Hongbo
AU  - Tang H
AD  - Department of Critical Care Medicine, The Third Affiliated Hospital of Zunyi 
      Medical University (The First People's Hospital of Zunyi), Zunyi, China.
FAU - Yang, Xiaoxia
AU  - Yang X
AD  - Department of Integrated (Geriatric) Ward, The Second Affiliated Hospital of 
      Zunyi Medical University, Zunyi, China.
FAU - Yao, Qu
AU  - Yao Q
AD  - Department of Cardiology, Affiliated Hospital of Zunyi Medical University, Zunyi, 
      China.
FAU - Zhang, Lin
AU  - Zhang L
AD  - Department of Endocrinology, Affiliated Hospital of Zunyi Medical University, 
      Zunyi, China.
FAU - Zhang, Han
AU  - Zhang H
AD  - Department of Endocrinology, Affiliated Hospital of Zunyi Medical University, 
      Zunyi, China.
FAU - Zhang, Ying
AU  - Zhang Y
AD  - Department of Endocrinology, Affiliated Hospital of Zunyi Medical University, 
      Zunyi, China.
FAU - Nie, Xiaomei
AU  - Nie X
AD  - Department of Ophthalmology, The Second Affiliated Hospital of Zunyi Medical 
      University, Zunyi, China.
FAU - Liao, Xin
AU  - Liao X
AD  - Department of Endocrinology, Affiliated Hospital of Zunyi Medical University, 
      Zunyi, China.
FAU - Jiang, Feng
AU  - Jiang F
AD  - Department of Neonatology, Obstetrics and Gynecology Hospital of Fudan 
      University, Shanghai, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20221116
PL  - Switzerland
TA  - Front Endocrinol (Lausanne)
JT  - Frontiers in endocrinology
JID - 101555782
RN  - 0 (Glycated Hemoglobin A)
RN  - 0 (Triglycerides)
RN  - 1406-16-2 (Vitamin D)
RN  - 0 (Vitamins)
SB  - IM
MH  - Humans
MH  - *Diabetic Retinopathy/diagnosis/epidemiology/etiology
MH  - *Diabetes Mellitus, Type 2/complications
MH  - Nomograms
MH  - Glycated Hemoglobin
MH  - *Insulin Resistance
MH  - Triglycerides
MH  - Vitamin D
MH  - Vitamins
PMC - PMC9710381
OTO - NOTNLM
OT  - diabetic retinopathy
OT  - nomogram model
OT  - prediction
OT  - risk
OT  - type 2 diabetes mellitus
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- 2022/12/06 06:00
MHDA- 2022/12/07 06:00
PMCR- 2022/01/01
CRDT- 2022/12/05 03:46
PHST- 2022/07/13 00:00 [received]
PHST- 2022/10/24 00:00 [accepted]
PHST- 2022/12/05 03:46 [entrez]
PHST- 2022/12/06 06:00 [pubmed]
PHST- 2022/12/07 06:00 [medline]
PHST- 2022/01/01 00:00 [pmc-release]
AID - 10.3389/fendo.2022.993423 [doi]
PST - epublish
SO  - Front Endocrinol (Lausanne). 2022 Nov 16;13:993423. doi: 
      10.3389/fendo.2022.993423. eCollection 2022.