ArticleFrontiers in immunology2023
A nomogram diagnostic cardiovascular disease in patients with erythrodermic psoriasis in Chinese.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- [Nomogram prediction model for factors associated with vascular plaques in a physical examination population].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Development and validation of a nomogram model to predict postoperative delirium after resection of esophageal cancer.Scientific reports · 2025Article
- Association Between Artificial Liver Support System and Prognosis in Hepatitis B Virus-Related Acute-on-Chronic Liver Failure.Infection and drug resistance · 2025Article
- A diagnostic prediction model for cardiovascular diseases (CVDs) in patients with psoriasis.Frontiers in cardiovascular medicine · 2025Article
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4 authors.
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Abstract
Objective: Patients with erythrodermic psoriasis (EP) are associated with an increased risk of cardiovascular disease (CVD), because of the more severe inflammation in the skin areas. This study aimed to develop a diagnostic model for the risk of CVD in EP patients based on the available features and multidimensional clinical data. Methods: A total of 298 EP patients from Beijing Hospital of Traditional Chinese Medicine were retrospectively included in this study from May 5 Results: In the development set, the CVD rate was 9%, which was independently correlated with age, glycated albumin (GA>17%), smoking, albumin (ALB<40 g/L), and lipoprotein(a) (Lp(a)>300 mg/L). The area under the ROC curve (AUC) value was 0.83 (95% confidence interval CI, 0.73,0.93). For the validation set of EP patients, the AUC value was 0.85 (95%CI, 0.76,0.94). According to decision curve analysis, our model exhibited favorable clinical applicability. Conclusion: EP patients with age, GA>17%, smoking, ALB<40 g/L, and Lp(a)>300 mg/L are associated with a higher risk of CVD. The nomogram model performs well in predicting the probability of CVD in EP patients, which may help improve perioperative strategies and good treatment outcomes.
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