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Transcatheter Aortic Valve Replacement Wait-list Failure-Correlation With Cardiac Damage Stage
Itamar Loewenstein1, Aviram Hochstadt2, Tami Jacoby1
1Cardiology Department, Tel-Aviv Sourasky Medical Center, Affiliated to The Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Insights
Cardiac damage staging predicts adverse events in patients awaiting Transcatheter aortic valve replacement (TAVR). Advanced stages indicate higher risk of hospitalization and mortality, aiding TAVR candidate prioritization.
Area of Science:
- Cardiology
- Echocardiography
- Interventional Cardiology
Background:
- Growing waitlists for Transcatheter aortic valve replacement (TAVR) highlight the need for effective candidate prioritization.
- Aortic stenosis (AS)-related cardiac damage (CD) staging offers a framework to assess structural damage in AS patients.
- Adverse events can occur while patients await TAVR, emphasizing the urgency for improved risk stratification.
Purpose of the Study:
- To evaluate the correlation between cardiac damage (CD) staging and AS-related adverse events in patients awaiting TAVR.
- To determine if CD staging can predict waitlist failure (WF) in this patient population.
Main Methods:
- A cohort of 904 patients with symptomatic severe AS undergoing TAVR evaluation between 2018-2022 was analyzed.
- Waitlist failure (WF), defined as AS-related hospitalizations or mortality, was the primary outcome.
- Multivariable logistic regression identified predictors of WF, including CD staging, frailty, and hypoalbuminemia.
Main Results:
- Waitlist failure (WF) occurred in 8.0% of patients.
- Higher CD stages on echocardiography correlated with an increased risk of WF.
- CD staging was an independent predictor of WF (continuous: HR 1.66; categorical stage ≥3: HR 2.24), alongside frailty and hypoalbuminemia.
Conclusions:
- Advanced cardiac damage (CD) stage is a significant independent predictor of adverse events, including hospitalization and mortality, in patients awaiting TAVR.
- CD staging provides valuable information for prioritizing TAVR candidates and managing waitlist risks.
- Integrating CD staging into clinical practice can help optimize TAVR candidate selection and improve patient outcomes.
Background:
Waitlists for transcatheter aortic valve replacement (TAVR) are increasingly growing, universal criteria for prioritizing candidates are lacking, and some patients experience adverse events while awaiting the procedure. Aortic stenosis (AS)-related cardiac damage (CD) staging provides an echocardiographic framework for assessing structural CD in AS patients. We aimed to assess the correlation between CD staging and AS-related adverse events in patients awaiting TAVR.
Methods:
Waiting time for TAVR was assessed among patients with symptomatic severe AS, who were enrolled on our institutions' TAVR program during 2018-2022. The primary outcome was wait-list failure (WF), defined as AS-related hospitalizations or mortality during the waiting time for TAVR. Binary logistic regression multivariable analyses were performed to identify factors associated with WF before TAVR.
Results:
We included 904 AS patients (46.0% female; mean age 80.6 ± 6.8 years, mean Society of Thoracic Surgeons score 4.5 ± 2.7%). WF occurred in 72 patients (8.0%). Median waiting times were 53 (interquartile range, 35-79) days for TAVR, and 33 (interquartile range, 21-56) days until WF outcomes. Patients who experienced WF were older, with higher rates of frailty and comorbidities. On echocardiography, WF correlated with a higher CD stage. Multivariable analysis identified CD staging as an independent predictor of WF, as a continuous (hazard ratio, 1.66; 95% confidence interval, 1.15-2.42; P = 0.01) and a categorical variable (CD stage ≥ 3: hazard ratio, 2.24; 95% confidence interval, 1.07-4.71; P = 0.03). Additional predictors of WF were frailty and hypoalbuminemia.
Conclusions:
Advanced CD stage is independently associated with unexpected hospitalizations and increased mortality during the waiting period for TAVR, underscoring its value in guiding candidate prioritization.
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