Establishment and assessment of a nomogram model for predicting the risk of fulminant myocarditis
| Autor: | Wei Zhuang, Yong Zheng, Wenxiang Zhao, Guifen Xu, Fuling Yu, Feizhen Chen |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Adult
Male medicine.medical_specialty Myocarditis Heart Ventricles Fulminant Observational Study fulminant myocarditis Risk Assessment Blood Urea Nitrogen 03 medical and health sciences 0302 clinical medicine Predictive Value of Tests Risk Factors Internal medicine Odds Ratio medicine Humans Arterial Pressure Aspartate Aminotransferases 030212 general & internal medicine Retrospective Studies business.industry nomogram model Troponin I Confounding Retrospective cohort study prediction General Medicine Odds ratio Middle Aged Nomogram medicine.disease Confidence interval Nomograms Cross-Sectional Studies ROC Curve risk factor Area Under Curve Creatinine 030220 oncology & carcinogenesis Predictive value of tests Cardiology Female business Research Article |
| Zdroj: | Medicine |
| ISSN: | 1536-5964 0025-7974 |
| Popis: | We aimed to identify potential clinical predictors associated with the risk of fulminant myocarditis, and further to establish and assess a nomogram model based on significant attributes for clinical practicability. This is a retrospective, cross-sectional study, involving 28 patients with fulminant myocarditis and 35 age-, and sex-matched patients with non-fulminant myocarditis. Effect-size estimates are expressed as odds ratio (OR) and 95% confidence interval (CI). Fifteen factors were primarily identified to be associated with the significant risk of fulminant myocarditis after adjusting for confounders. Due to strong correlation, 6 factors were retained, including mean arterial pressure (OR, 95% CI, P: .82, .72–.94, .005), creatinine (2.15, 1.13–4.10, 0.020), blood urea nitrogen (1.45, 1.04–2.02, 0.028), aspartate aminotransferase (2.62, 1.16–5.91, 0.021), troponin I (1.43, 1.07–1.90, 0.015), and ventricular wall motion abnormality (25.81, 2.52–264.69, 0.006). The contribution of the 6 significant factors to predicting fulminant myocarditis risk was significant from multi-angle analyses, and regressing these factors in a nomogram model exhibited good predictive accuracy, as reflected by both C-index (>90%, P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|