ABSTRACT
OBJECTIVE: The implications of saline flushing of the radial sheath have not been studied in terms of radial artery occlusion. We aimed to investigate radial artery patency outcomes after the saline flush of the radial sheath. METHODS: In this prospective observational study, patients were selected to receive either radial sheath flushing with 10 mL of saline after pulling the sheath to one-third of its length (Group 1) or standard care (Group 2) after removal of the catheter sheath as per physician discretion. Radial artery patency was assessed by Doppler ultrasound at 24 h and 30 days after the procedure. RESULTS: A total of 2877 patients were enrolled in the study, with 1340 receiving radial sheath flushing and 1537 receiving standard care. At 24 h after the procedure, the incidence of radial artery occlusion was significantly lower in the radial sheath flushing group compared to the standard care group (4.4% vs 12.6%, p = 0.027). This difference persisted 30 days after the procedure (6.1% vs 15.8%, p = 0.015). Radial sheath flushing was independently associated with a lower risk of radial artery occlusion 30 days after the procedure, after adjusting for potential confounders (OR 0.375, 95% CI 0.18-0.77, p = 0.008). CONCLUSION: In conclusion, this prospective study provides evidence to support the use of radial sheath flushing after coronary intervention via the radial artery as a simple and effective strategy for reducing the risk of radial artery occlusion without increasing the risk of other adverse outcomes.
ABSTRACT
BACKGROUND: Our study hypothesized that an intelligent gradient boosting machine (GBM) model can predict cerebrovascular events and all-cause mortality in mitral stenosis (MS) with atrial flutter (AFL) by recognizing comorbidities, electrocardiographic and echocardiographic parameters. METHODS: The machine learning model was used as a statistical analyzer in recognizing the key risk factors and high-risk features with either outcome of cerebrovascular events or mortality. RESULTS: A total of 2184 patients with their chart data and imaging studies were included and the GBM analysis demonstrated mitral valve area (MVA), right ventricular systolic pressure, pulmonary artery pressure (PAP), left ventricular ejection fraction (LVEF), New York Heart Association (NYHA) class, and surgery as the most significant predictors of transient ischemic attack (TIA/stroke). MVA, PAP, LVEF, creatinine, hemoglobin, and diastolic blood pressure were predictors for all-cause mortality. CONCLUSION: The GBM model assimilates clinical data from all diagnostic modalities and significantly improves risk prediction performance and identification of key variables for the outcome of MS with AFL.
