Coronary Obstruction From TAVR in Native Aortic Stenosis: Development and Validation of Multivariate Prediction Model.

BACKGROUND: Transcatheter aortic valve replacement (TAVR)-related coronary artery obstruction prediction remains unsatisfactory despite high mortality and novel preventive therapies. OBJECTIVES: This study sought to develop a predictive model for TAVR-related coronary obstruction in native aortic stenosis. METHODS: Preprocedure computed tomography and fluoroscopy images of patients in whom TAVR caused coronary artery obstruction were collected. Central laboratories made measurements, which were compared with unobstructed patients from a single-center database. A multivariate model was developed and validated against a 1:1 propensity-matched subselection of the unobstructed cohort. RESULTS: Sixty patients with angiographically confirmed coronary obstruction and 1,381 without obstruction were included. In-hospital death was higher in the obstruction cohort (26.7% vs 0.7%; P < 0.001). Annular area and perimeter, coronary height, sinus width, and sinotubular junction height and width were all significantly smaller in the obstructed cohort. Obstruction was most common on the left side (78.3%) and at the level of the coronary artery ostium (92.1%). Coronary artery height and sinus width, but not annulus area, were significant risk factors for obstruction by logistic regression but performed poorly in predicting obstruction. The new multivariate model (coronary obstruction IF cusp height > coronary height, AND virtual valve-to-coronary distance ≤4 mm OR culprit leaflet calcium volume >600 mm3) performed well, with an area under the curve of 0.93 (sensitivity = 0.93, specificity = 0.84) for the left coronary artery and 0.94 (sensitivity = 0.92, specificity = 0.96) for the right. CONCLUSIONS: A novel computed tomography-based multivariate prediction model that can be implemented routinely in real-world practice predicted coronary artery obstruction from TAVR in native aortic stenosis.

Machine learning for prediction of all-cause mortality after transcatheter aortic valve implantation.

AIMS: Prediction of adverse events in mid-term follow-up after transcatheter aortic valve implantation (TAVI) is challenging. We sought to develop and validate a machine learning model for prediction of 1-year all-cause mortality in patients who underwent TAVI and were discharged following the index procedure. METHODS AND RESULTS: The model was developed on data of patients who underwent TAVI at a high-volume centre between January 2013 and March 2019. Machine learning by extreme gradient boosting was trained and tested with repeated 10-fold hold-out testing using 34 pre- and 25 peri-procedural clinical variables. External validation was performed on unseen data from two other independent high-volume TAVI centres. Six hundred four patients (43% men, 81 ± 5 years old, EuroSCORE II 4.8 [3.0-6.3]%) in the derivation and 823 patients (46% men, 82 ± 5 years old, EuroSCORE II 4.7 [2.9-6.0]%) in the validation cohort underwent TAVI and were discharged home following the index procedure. Over the 12 months of follow-up, 68 (11%) and 95 (12%) subjects died in the derivation and validation cohorts, respectively. In external validation, the machine learning model had an area under the receiver-operator curve of 0.82 (0.78-0.87) for prediction of 1-year all-cause mortality following hospital discharge after TAVI, which was superior to pre- and peri-procedural clinical variables including age 0.52 (0.46-0.59) and the EuroSCORE II 0.57 (0.51-0.64), P < 0.001 for a difference. CONCLUSION: Machine learning based on readily available clinical data allows accurate prediction of 1-year all-cause mortality following a successful TAVI.

Association of left atrial enlargement and increased left ventricular wall thickness with arrhythmia recurrence after cryoballoon ablation for atrial fibrillation.

BACKGROUND: Left atrial enlargement (LAE) predicts atrial fibrillation (AF) recurrence after cryoballoon-based pulmonary vein isolation (CB). Increased left ventricular wall thickness (LVWT) is pathophysiologically associated with LAE and atrial arrhythmias. AIMS: To assess effect of increased LVWT on long-term outcomes of CB depending on coexistence of LAE. METHODS: LAE was defined using either echocardiography ( > 48 cm³/m²) or multislice computer tomography (MSCT, ≥63 cm³/m²). Increased LVWT was echocardiographic septal/posterior wall thickness > 10 mm in males and > 9 mm in females. All patients achieved 2-year follow-up. RESULTS: Of 250 patients (median [interquartile range, IQR] age of 61 [49.0-67.3] years; 30% female) with AF (40% non-paroxysmal), 66.5% had hypertension, and 27.2% underwent redo procedure. MSCT was done in 76%. During follow-up of 24.5 (IQR, 6.0-31.00) months the clinical success rate was 72%, despite 46% of patients having arrhythmia recurrence. Arrhythmia recurrence risk was increased by LAE and increased LVWT (hazard ratio [HR], 1.801; P = 0.002 and HR, 1.495; P = 0.036; respectively). The highest arrhythmia recurrence (61.9% at 2 years) was among patients with LAE and increased LVWT (33.6% of patients); intermediate (41.8%) among patients with isolated LAE; and lowest among patients with isolated increased LVWT or patients without LAE or increased LVWT (36.8% and 35.2% respectively, P = 0.004). After adjustment for body mass index (BMI), paroxysmal AF, CHA2DS2-VASc score, clinically-significant valvular heart disease, and cardiomyopathy, patients with LAE and concomitant increased LVWT diagnosis had a 1.8-times increased risk of arrhythmia recurrence (HR, 1.784; 95% confidence interval [CI], 1.017-3.130; P = 0.043). CONCLUSION: Joint occurrence of LAE and increased LVWT is associated with the highest rate of arrhythmia recurrence after CB for AF.

Prognostic value of computed tomography derived measurements of pulmonary artery diameter for long-term outcomes after transcatheter aortic valve replacement.

BACKGROUND: An increase in pulmonary artery diameter (PAD) on multi-detector computed tomography (MDCT) may indicate pulmonary hypertension. We assessed the prognostic value of MDCT-derived measurements of PAD on outcomes after successful transcatheter aortic valve replacement (TAVR). METHODS: Consecutive patients treated with TAVR from February 2013 to October 2017, with a 68.8% rate of new generation valves, underwent pre-interventional MDCT with measurements of PAD (in the widest short-axis within 3 cm of the bifurcation) and ascending aortic diameter (AoD; at the level of the PAD). The PAD/AoD ratio was calculated. Patients with high-density lipoprotein cholesterol levels ≤46 mg/dl and C-reactive protein levels ≥0.20 mg/dl at baseline were identified as the frail group. One-year mortality was established for all subjects. RESULTS: Among studied 266 patients (median age, 82.0 years; 63.5% women) those who died at 1 year (n = 34; 12.8%) had larger PAD and PAD/AoD (28.9 [5.0] vs. 26.5 [4.6] mm and 0.81 [0.13] vs. 0.76 [0.13] mm vs. the rest of the studied subjects; P = 0.005 and P = 0.02, respectively) but similar AoD. The cutoff value for the PAD to predict 1-year mortality was 29.3 mm (sensitivity, 50%; specificity, 77%; area under the curve, 0.65). Patients with PAD >29.3 mm (n = 72; 27%) had higher 1-year mortality (23.6% vs. 8.8%, log-rank P = 0.001). Baseline characteristics associated with PAD29.3 mm were a bigger body mass index, more frequent diabetes mellitus, more prior stroke/transient ischemic attacks and atrial fibrillation, and lower baseline maximal aortic valve gradient with higher pulmonary artery systolic pressure (PASP). PAD >29.3 mm and frailty, but not baseline PASP, remained predictive of 1-year mortality in the multivariable model (hazard ratio [HR], 2.221; 95%CI, 1.038-4.753; P = 0.04 and HR, 2.801; 95% CI, 1.328-5.910; P = 0.007, respectively). CONCLUSION: PAD >29.3 mm on baseline MDCT is associated with higher 1-year mortality after TAVR, independently of echocardiographic measures of PH and frailty.

Comparison of myocardial tissue reperfusion of inferior wall and a right ventricle among patients after primary angioplasty for an inferior myocardial infarction with right ventricular infarction.

BACKGROUND: Impaired myocardial tissue reperfusion affects prognosis of patients with ST-segment elevation myocardial infarction (STEMI) treated with percutaneous coronary intervention (PCI) and can be identified by ST-segment analysis. To date, evaluation of the myocardial tissue reperfusion of the right ventricle (RV) among the patients treated with PCI for inferior STEMI with right ventricular infarction (RVI) has not been made yet. METHODS: Patients with inferior STEMI were screened for RVI. Tissue reperfusion was evaluated by maximal residual ST-segment deviation post PCI, independently for the RV and for inferior wall. Myocardial injury was assessed by the peak creatine kinase-mb (CK-MB) value. RESULTS: Among 456 patients with inferior STEMI, concomitant RVI occurred in 153 (33.5%) subjects (59.86±10.35 years old, 71.9% females). Tissue reperfusion of LV was present in 75 (49%), whereas 55 (35.9%) had both successful LV and RV reperfusion. Among 97 (63.4%) with successful tissue reperfusion of RV, 55 (56.7%) had associated successful tissue reperfusion of inferior wall. Adequate LV reperfusion was accompanied by RV in over 73.3% of patients (P=0.006). Mean peak CK-MB was lower in the group with adequate versus impaired RV tissue-perfusion (197±143 vs. 305±199 U/L, P=0.021 respectively). CONCLUSIONS: Impaired reperfusion of RV is observed in more than one third of inferior STEMIs with RVI and is not strictly associated with impaired reperfusion of inferior wall and clinical or angiographic variables, therefore ST-segment analysis for RV is mandatory.

Inter-ethnic differences in normal coronary anatomy between Caucasian (Polish) and Asian (Korean) populations.

PURPOSE: Little is known about ethnic differences in the size of coronary arteries in disease-free individuals. Our aim was to compare coronary artery dimensions between Asian and Caucasian population without atherosclerosis. METHODS: One hundred and twelve Caucasian patients without any discernible atherosclerosis detected on coronary computed tomography angiography were matched with 112 Asian patients using sex, age, coronary dominance pattern and body surface area (BSA). Maximal and minimal lumen areas (LA) and diameters (LD) of proximal and middle coronary segments were measured, and the mean values were used for analyses. RESULTS: Caucasians had larger LA and LD than Asian patients in all proximal coronary segments. Overall, the mean difference in LA and LD was 11.4 % and 5.2 %, respectively. Significant differences were observed for all proximal segments (left anterior descending: 13 % and 6%, left circumflex 14 % and 8% and right coronary artery 8% and 4% for LA and LD), but not for mid segments. The greatest difference between Caucasians and Asians was found in left main coronary artery (LMCA) LA (21.2 ±â€¯6.5 vs.16.8 ±â€¯5.4 mm2, p < 0.01 respectively). The independent predictors of larger LA and LD of LMCA and proximal coronary segments were male sex (p < 0.05), Caucasian ethnicity (p < 0.05), and left dominance pattern (p < 0.05). CONCLUSION: In subjects without atherosclerosis, Asians have smaller dimensions of all proximal coronary arteries, most prominently displayed in LMCA, than the Caucasians regardless of age, sex, or body size.