Artificial Intelligence Enabled Fully Automated CMR Function Quantification for Optimized Risk Stratification in Patients Undergoing Transcatheter Aortic Valve Replacement

Table 1

Baseline characteristics

Variable	All patients (n = 142)	Survivors (n = 125)	CV deceased (n = 17)	value
Age (Y)	80 (74–83)	79 (74–82)	82 (78.5–84)	0.069
Sex (male)	88 (62.0%)	77 (61.6%)	11 (64.7%)	0.805
BMI (kg/m^2)	27.5 (24.6–30.7)	27.0 (24.4–30.2)	30.8 (26.9–33.5)	0.014
Comorbidities
Hypertension	122 (85.9%)	107 (85.6%)	15 (88.2%)	1.000
Diabetes mellitus	46 (32.4%)	37 (29.6%)	9 (52.9%)	0.054
Dyslipidaemia	97 (68.3%)	86 (68.8%)	11 (64.7%)	0.866
Coronary artery disease	93 (65.5%)	80 (64.0%)	13 (76.5%)	0.310
Atrial fibrillation	46 (32.4%)	38 (30.4%)	8 (47.1%)	0.168
Stroke/TIA	18 (12.7%)	16 (12.8%)	2 (11.8%)	0.926
COPD	14 (9.9%)	10 (8.0%)	4 (23.5%)	0.066

Data are expressed as median (interquartile range), numbers, and percentage. Comparison of survivors and deceased was performed. Continuous parameters were tested for normal distribution using the Shapiro–Wilk test and compared using the Mann–Whitney U test or t-test as appropriate. Categorical parameters were tested using the chi -square test. BMI: body mass index; TIA: transient ischemic attack; COPD: chronic obstructive pulmonary disease.