Evaluation of homocysteine in the diagnosis and prognosis of coronary slow flow syndrome.
Nan LiLiuyang TianJiefeng RenYang LiYuqi LiuPublished in: Biomarkers in medicine (2019)
Aim: To identify the exact molecular markers related to coronary slow flow syndrome (CSFS) and its prognosis. Patients & methods: Data from 54 patients with CSFS diagnosed by coronary angiography and 101 normal control patients were collected and analyzed. Results: Logistic regression analysis confirmed that homocysteine (Hcy; odds ratio: 1.107; 95% CI: 1.018-1.205; p = 0.018) was associated with CSFS. Receiver-operating characteristic curve analysis identified an Hcy value of 17.1 μmol/l as an effective cut-off point for predicting CSFS. Cox survival analysis showed a relationship between high admission Hcy level (odds ratio: 1.19; 95% CI = 1.05-1.34; p = 0.005) and recurrent angina. Conclusion: Our results showed positive correlations of Hcy with CSFS and cardiac events.
Keyphrases
- end stage renal disease
- coronary artery disease
- newly diagnosed
- coronary artery
- ejection fraction
- emergency department
- peritoneal dialysis
- prognostic factors
- left ventricular
- machine learning
- percutaneous coronary intervention
- case report
- single molecule
- free survival
- electronic health record
- big data
- density functional theory
- patient reported