The STS Short-Term Risk Calculator allows you to calculate a patient’s risk of mortality and morbidities for the most commonly performed cardiac surgeries. The Risk Calculator incorporates STS risk models that are designed to serve as statistical tools to account for the impact of patient risk factors on operative mortality and morbidity.
Transcatheter aortic valve implantation (TAVI) was developed as a promising new therapy for inoperable and surgical high-risk patients as an alternative to traditional aortic valve replacement. After a successful procedure, prognosis may mainly be determined by comorbidities. However, no appropriate risk score to predict long-term outcome following TAVI is currently available. The aim of this study was to identify predictors of adverse short- and long-term outcomes.
Cardiac surgery patients at very high risk are difficult to stratify with the existing risk scores. The objective of this study is to assess the clinical performance of two existing risk stratification scores (EuroSCORE II and ACEF score) in the setting of very high-risk patients undergoing cardiac surgery, and to identify a possible strategy to better address this patient population.
Introduction The European System for Cardiac Operative Risk Evaluation II (EuroSCORE) and Society of Thoracic Surgeons (STS) risk models provide a method of predicating mortality of patients undergoing cardiac surgery. However, their validity in transcatheter aortic valve implantation (TAVI) remains controversial with some studies supporting its use as a good predictor of mortality whilst others find no association. We sought to investigate the validity of both EuroSCORE II and STS score as predictors of mortality in a real-life cohort of patients undergoing a TAVI.
The STS-ACC TAVR In-Hospital Mortality Risk App was developed at the ACC in collaboration with STS using the STS-ACC TVT Registry risk-adjusted mortality model. Development of the App was overseen by a group of clinical leaders and experts representing the target audience. Technical experts designed and built the App. Several rounds of user testing were conducted by physicians, nurse practitioners, and others with sample patients.
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Data markers represent the observed mortality rate (position on the y-axis) in relation to the expected mortality rate (position on the x-axis); error bars, 95% CIs for the observed mortality rate; and solid lines, perfect calibration (ie, observed = expected) (included as a reference to the ideal).
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The authors wish to thank Dr. Marion Tipple (Children’s Heart Centre, British Columbia Children’s Hospital) and Glen Wheeler for proofreading and editing this paper. They also thank to Dr. Pansak Laksanabunsong (Siriraj Hospital), Dr. Wanchai Wongkornrat (Siriraj Hospital), and all administrators of pediatric cardiology as well as cardiovascular thoracic surgery for their assistance on the database.
Society of Thoracic Surgeons 30-Day Predicted Risk of Mortality Score Also Predicts Long-Term Survival
Purpose: The Society of Thoracic Surgeons Predicted Risk of Mortality (PROM) score is a well-validated predictor of 30-day mortality after cardiac procedures. However, the role of PROM in predicting longer-term survival has not been investigated.