BACKGROUND: Though several anatomical characteristics have been reported separately as risk factors for paravalvular leak (PVL) and landing zone (LZ) complications after transcatheter aortic valve replacement (TAVR), multivariate risk models are needed. METHODS: Patients that underwent balloon-expandable TAVR with multidetector cardiac computed tomography (MDCT) sizing were studied. MDCT images were analyzed and the association between anatomical factors and ≥mild PVL, ≥moderate PVL, and LZ complications (annular rupture, requirement of new permanent pacemaker, and coronary obstruction) was determined, and subsequently competing predictive models were developed and validated. RESULTS: A total of 316 consecutive TAVR patients were included. Median age was 82.0 years (74.0-87.0) and STS score was 8.3% (5.4-10.9). Factors associated with ≥mild PVL included TAVR with Sapien/Sapien XT vs. Sapien 3 (OR = 2.50, 95% CI = 1.24-5.07), LVOT nontubularity (OR = 1.02, 95% CI = 1.01-1.04), LZ calcification (OR = 1.01, 95% CI = 1.00-1.01), and low cover index (OR = 0.94, 95% CI = 0.91-0.96). Factors associated with LZ complications included LZ calcification (OR = 1.01, 95% CI 1.00-1.01), leaflet asymmetry (OR = 1.01, 95% CI 1.01-1.02), and cover index (OR = 1.09, 95% CI 1.03-1.14). Predictive models for ≥mild PVL (AUC = 0.71, 95% CI = 0.66-0.77), ≥moderate PVL (AUC = 0.75, 95% CI = 0.65-0.84), and LZ complications (AUC = 0.77, 95% CI = 0.67-0.87) were created using procedural details and anatomical data from the MDCT. Clinical variables were not included as they were poorly correlated with the occurrence of PVL and LZ complications. For each outcome, the area under the curve (AUC) of the multivariate model was superior to the model consisting only of individual factors. CONCLUSIONS: A model using procedural/anatomical characteristics derived from MDCT predicts ≥mild PVL, ≥moderate PVL, and LZ complications post-TAVR. Incorporation of anatomical risks into clinical practice may help stratify patients before TAVR.
BACKGROUND: Though several anatomical characteristics have been reported separately as risk factors for paravalvular leak (PVL) and landing zone (LZ) complications after transcatheter aortic valve replacement (TAVR), multivariate risk models are needed. METHODS:Patients that underwent balloon-expandable TAVR with multidetector cardiac computed tomography (MDCT) sizing were studied. MDCT images were analyzed and the association between anatomical factors and ≥mild PVL, ≥moderate PVL, and LZ complications (annular rupture, requirement of new permanent pacemaker, and coronary obstruction) was determined, and subsequently competing predictive models were developed and validated. RESULTS: A total of 316 consecutive TAVR patients were included. Median age was 82.0 years (74.0-87.0) and STS score was 8.3% (5.4-10.9). Factors associated with ≥mild PVL included TAVR with Sapien/Sapien XT vs. Sapien 3 (OR = 2.50, 95% CI = 1.24-5.07), LVOT nontubularity (OR = 1.02, 95% CI = 1.01-1.04), LZcalcification (OR = 1.01, 95% CI = 1.00-1.01), and low cover index (OR = 0.94, 95% CI = 0.91-0.96). Factors associated with LZ complications included LZcalcification (OR = 1.01, 95% CI 1.00-1.01), leaflet asymmetry (OR = 1.01, 95% CI 1.01-1.02), and cover index (OR = 1.09, 95% CI 1.03-1.14). Predictive models for ≥mild PVL (AUC = 0.71, 95% CI = 0.66-0.77), ≥moderate PVL (AUC = 0.75, 95% CI = 0.65-0.84), and LZ complications (AUC = 0.77, 95% CI = 0.67-0.87) were created using procedural details and anatomical data from the MDCT. Clinical variables were not included as they were poorly correlated with the occurrence of PVL and LZ complications. For each outcome, the area under the curve (AUC) of the multivariate model was superior to the model consisting only of individual factors. CONCLUSIONS: A model using procedural/anatomical characteristics derived from MDCT predicts ≥mild PVL, ≥moderate PVL, and LZ complications post-TAVR. Incorporation of anatomical risks into clinical practice may help stratify patients before TAVR.
Authors: Agata Wiktorowicz; Adrian Wit; Krzysztof Piotr Malinowski; Artur Dziewierz; Lukasz Rzeszutko; Dariusz Dudek; Pawel Kleczynski Journal: Quant Imaging Med Surg Date: 2021-02
Authors: Yosuke Miyazaki; Rodrigo Modolo; Mohammad Abdelghani; Hiroki Tateishi; Rafael Cavalcante; Carlos Collet; Taku Asano; Yuki Katagiri; Erhan Tenekecioglu; Rogério Sarmento-Leite; José A Mangione; Alexandre Abizaid; Osama I I Soliman; Yoshinobu Onuma; Patrick W Serruys; Pedro A Lemos; Fabio S de Brito Journal: Arq Bras Cardiol Date: 2018-08 Impact factor: 2.000
Authors: Roberto Scarsini; Giovanni L De Maria; Jubin Joseph; Lampson Fan; Thomas J Cahill; Rafail A Kotronias; Francesco Burzotta; James D Newton; Rajesh Kharbanda; Bernard Prendergast; Flavio Ribichini; Adrian P Banning Journal: J Am Heart Assoc Date: 2019-09-14 Impact factor: 5.501