PMID- 38058077
OWN - NLM
STAT- MEDLINE
DCOM- 20231211
LR  - 20231217
IS  - 1944-7930 (Electronic)
IS  - 1539-6509 (Linking)
VI  - 35
IP  - 179
DP  - 2023 Dec
TI  - Construction of a Nomogram Model to Identify Atherosclerotic Cardiovascular 
      Disease in Patients with Type 2 Diabetes Mellitus.
PG  - 1114-1122
LID - 10.24976/Discov.Med.202335179.108 [doi]
AB  - BACKGROUND: Approximately 50.0% of patients with type 2 diabetes mellitus (T2DM) 
      experience macrovascular diseases, and nearly 80.0% of them succumb to 
      macrovascular complications. Atherosclerotic cardiovascular disease (ASCVD) ranks 
      among the most prevalent macrovascular complications in T2DM. In this study, we 
      aim to develop a nomogram model for the early detection of ASCVD in T2DM 
      patients, enabling us to provide valuable recommendations for the clinical 
      prevention and management of macrovascular complications in this patient 
      population. METHODS: This retrospective analysis encompassed 2620 T2DM patients 
      admitted between June 2015 and June 2021. The cohort comprised 1270 T2DM patients 
      with coexisting ASCVD (referred to as the "ASCVD group") and 1350 individuals who 
      did not experience ASCVD (the "non-ASCVD group"). We conducted a comparative 
      assessment of their baseline characteristics and clinical data. A nomogram model 
      for the identification of ASCVD in T2DM patients was constructed utilizing 
      Logistic regression analysis and the R package. The model's performance was 
      evaluated through receiver operating characteristic (ROC) curve analysis and 
      calibration curves. RESULTS: We developed a nomogram model for the identification 
      of ASCVD in T2DM patients, incorporating ten variables: sex, age, hypertension, 
      smoking history, low-density lipoprotein cholesterol/high-density lipoprotein 
      cholesterol (LDL-C/HDL-C) ratio, alanine transaminase (ALT), adenosine deaminase 
      (ADA), postprandial 2-hour C-peptide, monocyte count (MONO), and eosinophil count 
      (EOS). ROC curves demonstrated that the area under the curve (AUC) of the 
      nomogram model for identifying ASCVD in T2DM patients was 0.673 for the training 
      dataset (with a cut-off value of 0.473, specificity of 0.629, and sensitivity of 
      0.637) and 0.655 for the validation dataset (with a cut-off value of 0.460, 
      specificity of 0.605, and sensitivity of 0.675). The calibration curve indicated 
      a substantial agreement between the predicted and observed cases of ASCVD in the 
      training dataset and an acceptable level of agreement in the validation dataset. 
      CONCLUSIONS: The nomogram model effectively identifies ASCVD in T2DM patients, 
      which can be instrumental in pinpointing the high-risk population for ASCVD among 
      T2DM patients and facilitating timely clinical management.
FAU - Sun, Huiwen
AU  - Sun H
AD  - Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing 
      Medical University, 210008 Nanjing, Jiangsu, China.
AD  - Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical 
      University, 210029 Nanjing, Jiangsu, China.
FAU - Men, Chen
AU  - Men C
AD  - Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical 
      University, 210029 Nanjing, Jiangsu, China.
FAU - Deng, Hui
AU  - Deng H
AD  - Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing 
      Medical University, 210008 Nanjing, Jiangsu, China.
FAU - Wang, Chun
AU  - Wang C
AD  - Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing 
      Medical University, 210008 Nanjing, Jiangsu, China.
FAU - Li, Ruiyao
AU  - Li R
AD  - Department of Information Management, Nanjing Drum Tower Hospital Clinical 
      College of Nanjing Medical University, 210008 Nanjing, Jiangsu, China.
FAU - Sun, Yale
AU  - Sun Y
AD  - The Second School of Clinical Medicine, Nanjing Medical University, 211166 
      Nanjing, Jiangsu, China.
FAU - Yang, Hao
AU  - Yang H
AD  - School of Medicine, Southeast University, 210037 Nanjing, Jiangsu, China.
FAU - Wu, Mingyang
AU  - Wu M
AD  - The First School of Clinical Medicine, Nanjing Medical University, 211166 
      Nanjing, Jiangsu, China.
FAU - Zheng, Wen
AU  - Zheng W
AD  - Department of Geriatrics, Nanjing Drum Tower Hospital Clinical College of Nanjing 
      Medical University, 210008 Nanjing, Jiangsu, China.
FAU - Zhan, Yiyang
AU  - Zhan Y
AD  - Department of Geriatrics, The First Affiliated Hospital of Nanjing Medical 
      University, 210029 Nanjing, Jiangsu, China.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Discov Med
JT  - Discovery medicine
JID - 101250006
RN  - 0 (Cholesterol, LDL)
SB  - IM
MH  - Humans
MH  - *Diabetes Mellitus, Type 2/complications/epidemiology
MH  - Nomograms
MH  - *Cardiovascular Diseases/diagnosis/epidemiology
MH  - Retrospective Studies
MH  - *Atherosclerosis/diagnosis/epidemiology/drug therapy
MH  - Risk Factors
MH  - Cholesterol, LDL/therapeutic use
OTO - NOTNLM
OT  - atherosclerotic cardiovascular disease
OT  - nomogram
OT  - risk factors
OT  - type 2 diabetes mellitus
EDAT- 2023/12/07 06:42
MHDA- 2023/12/11 12:43
CRDT- 2023/12/07 01:13
PHST- 2023/12/11 12:43 [medline]
PHST- 2023/12/07 06:42 [pubmed]
PHST- 2023/12/07 01:13 [entrez]
AID - 1701411448580-1391075289 [pii]
AID - 10.24976/Discov.Med.202335179.108 [doi]
PST - ppublish
SO  - Discov Med. 2023 Dec;35(179):1114-1122. doi: 10.24976/Discov.Med.202335179.108.