Balloon Aortic Valvuloplasty for Severe Aortic Stenosis as Rescue or Bridge Therapy.
Paweł KleczyńskiAleksandra KulbatPiotr BrzychczyArtur DziewierzJaroslaw TrebaczMaciej StaporDanuta SoryszLukasz RzeszutkoStanislaw BartusDariusz DudekJacek LegutkoPublished in: Journal of clinical medicine (2021)
The study aimed to assess procedural complications, patient flow and clinical outcomes after balloon aortic valvuloplasty (BAV) as rescue or bridge therapy, based on data from our registry. A total of 382 BAVs in 374 patients was performed. The main primary indication for BAV was a bridge for TAVI (n = 185, 49.4%). Other indications included a bridge for AVR (n = 26, 6.9%) and rescue procedure in hemodynamically unstable patients (n = 139, 37.2%). The mortality rate at 30 days, 6 and 12 months was 10.4%, 21.6%, 28.3%, respectively. In rescue patients, the death rate raised to 66.9% at 12 months. A significant improvement in symptoms was confirmed after BAV, after 30 days, 6 months, and in survivors after 1 year (p < 0.05 for all). Independent predictors of 12-month mortality were baseline STS score [HR (95% CI) 1.42 (1.34 to 2.88), p < 0.0001], baseline LVEF <20% [HR (95% CI) 1.89 (1.55-2.83), p < 0.0001] and LVEF <30% at 1 month [HR (95% CI) 1.97 (1.62-3.67), p < 0.0001] adjusted for age/gender. In everyday clinical practice in the TAVI era, there are still clinical indications to BAV a standalone procedure as a bridge to surgery, TAVI or for urgent high risk non-cardiac surgical procedures. Patients may improve clinically after BAV with LV function recovery, allowing to perform final therapy, within limited time window, for severe AS which ameliorates long-term outcomes. On the other hand, in patients for whom an isolated BAV becomes a destination therapy, prognosis is extremely poor.
Keyphrases
- ejection fraction
- aortic stenosis
- end stage renal disease
- newly diagnosed
- aortic valve
- transcatheter aortic valve implantation
- chronic kidney disease
- peritoneal dialysis
- prognostic factors
- type diabetes
- cardiovascular disease
- risk factors
- clinical practice
- stem cells
- mouse model
- bone marrow
- young adults
- machine learning
- coronary artery
- aortic valve replacement
- mental health
- patient reported
- pulmonary hypertension
- pulmonary arterial hypertension
- deep learning
- sleep quality