Abstract | BACKGROUND: MATERIALS AND METHODS: A retrospective cohort study was conducted. From September 2010 to September 2013, we included 968 subjects who had received coronary follow-up angiography after primary PCI. The logistic regression analysis, receiver operator characteristic (ROC) analysis, nomogram analysis, Hosmer-Lemeshow χ2 statistic, and calibration curve were applied to build and evaluate the prediction model. RESULTS: Fifty-six patients (5.79%) occurred ISR. The platelet distribution width (PDW), total cholesterol (TC), systolic blood pressure (SBP), low-density lipoprotein cholesterol ( LDL-C), and lesion vessels had significant differences between ISR and non-ISR groups (all P < 0.05). And these variables were independently associated with ISR (all P < 0.05). Furthermore, they were identified as predictors (all AUC > 0.5 and P < 0.05) to establish a prediction model. The prediction model showed a good value of area under curve (AUC) (95%CI): 0.72 (0.64-0.80), and its optimized cut-off was 6.39 with 71% sensitivity and 65% specificity to predict ISR. CONCLUSION: The incidence of ISR is 5.79% in CAD patients with DES implantation in the Xinjiang population, China. The prediction model based on PDW, SBP, TC, LDL-C, and lesion vessels was an effective model to predict ISR in CAD patients with DESs implantation.
|
Authors | Min-Tao Gai, Bing Zhu, Xiao-Cui Chen, Fen Liu, Xiang Xie, Xiao-Ming Gao, Xiang Ma, Zhen-Yan Fu, Yi-Tong Ma, Bang-Dang Chen |
Journal | Lipids in health and disease
(Lipids Health Dis)
Vol. 20
Issue 1
Pg. 118
(Sep 29 2021)
ISSN: 1476-511X [Electronic] England |
PMID | 34587955
(Publication Type: Journal Article)
|
Copyright | © 2021. The Author(s). |
Chemical References |
|
Topics |
- Aged
- Angiography
(methods)
- Blood Platelets
(metabolism)
- Calibration
- Coronary Artery Disease
(blood, diagnosis)
- Coronary Restenosis
- Drug-Eluting Stents
(adverse effects)
- Female
- Humans
- Lipids
(blood)
- Male
- Middle Aged
- Models, Statistical
- Multivariate Analysis
- Nomograms
- ROC Curve
- Regression Analysis
- Retrospective Studies
- Risk
|