Patient population and procedure
This is a single-centre observational study with 114 consecutive patients undergoing TF-TAVI procedure between November 2010 and June 2013. All patients with severe symptomatic aortic valve stenosis were discussed by a multidisciplinary heart team and scheduled for a TF-TAVI procedure. TAVI procedures were performed according to standard techniques8 using the balloon expandable Edwards SAPIEN XT valve, in sizes of 23 mm, 26 mm and 29 mm. General anaesthesia was avoided, allowing immediate recognition of periprocedural complications such as a cerebrovascular accident, and possibly reducing the occurrence of delirium post procedure.9
Data collection and definitions
Data were collected retrospectively in a dedicated database and contained preprocedural, periprocedural and postprocedural variables. Preprocedural variables included demographic details that include medical history, symptoms, medication, blood pressure, laboratory values, ECG, transthoracic echocardiogram (TTE) and CT scan.
Standard surgical risk assessment was performed using the Society of Thoracic Surgeons (STS) score and the EuroSCORE (European System for Cardiac Operative Risk Evaluation).10 11 The Metabolic Equivalent score (METs) was measured using the Duke Activity Status Index and was used as an estimation of a patient’s functionality.12
Frailty was assessed by the Canadian Study of Health and Aging Clinical Frailty Score13 by means of the preoperative assessment by the anaesthesiology preprocedural screening regarding (non)instrumental activities and patient-reported daily life dependency. Medication before, during and after the procedure was also captured in our database. Preprocedural anticoagulants were categorised into five groups: (1) single antiplatelet drug, (2) dual antiplatelet therapy, (3) single oral anticoagulant, (4) single oral anticoagulant plus single antiplatelet drug or (5) single oral anticoagulant plus dual antiplatelet therapy. New oral anticoagulants and low-molecular weight heparin were labelled as oral anticoagulant.
Renal function, in terms of an estimated glomerular filtration rate (eGFR), was calculated using the modification of diet in renal disease (MDRD) formula.14
Preprocedural ECG assessment contained PQ time, QRS duration and QTc time.
Preprocedural TTE assessment encloses haemodynamic parameters, ejection fraction (EF%), other valve insufficiencies and systolic pulmonary artery pressure. Periprocedural variables included the duration of the procedure, selected valve size, amount of contrast media used and periprocedural success. Periprocedural success was defined as implantation of a single aortic valve in the correct position without any cardiovascular events or valve dysfunction within the first 72 hours.
Procedural time was calculated as the time between the patient’s arrival and discharge from operating room. All complications were analysed according to the Valve Academic Research Consortium (VARC) definitions.15 VARC two-criteria end points could not be used for this study as patient postprocedural urine output is not routinely measured, excluding the Acute Kidney Injury Network system and allowing only for the modified RIFLE (Risk, Injury, Failure, Loss of function, and End-stage kidney disease) classification.16 In addition to the VARC criteria, delirium, the need for a new pacemaker implantation and infections with a need for antibiotics were included as complications.
The hospital LoS was recorded as the total number of days between the TF-TAVI and the release of the patient from our centre.
Statistical analysis
Values are reported as mean±SD or median and IQR (IQR: 25th to 75th percentile) for continuous variables and as frequency with percentage for categorical variables. One-way analysis of variance and χ2 test for trends were used to compare the differences between groups of continuous and categorical variables, respectively. Group medians were compared using the Kruskal-Wallis test where appropriate. LoS was divided into three categories: (1) short stay (SS-LoS, 1–5 days), (2) medium stay (MS-LoS, 6–8 days) and (3) long stay (LS-LoS, 9+ days).
Covariates of interest as predictors of LoS were investigated using multivariable linear regression. Baseline variables that were significant at p≤0.10 on univariate analysis were entered into a multivariate model. All statistical tests were two-sided, and values of p≤0.05 were considered statistically significant. Statistical analysis was performed using SPSS V.22 for Windows (IBM Corp, New York, USA).
LoS was log-transformed to normalise the distribution prior to linear regression analysis.