2020
DOI: 10.1016/j.jacep.2019.10.020
|View full text |Cite
|
Sign up to set email alerts
|

Risk Prediction Model for Cardiac Implantable Electronic Device Implantation After Transcatheter Aortic Valve Replacement

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
15
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 9 publications
(15 citation statements)
references
References 18 publications
0
15
0
Order By: Relevance
“…Kiani et al developed a points system to risk‐stratify patients for PPM implantation after undergoing TAVR with the balloon‐expandable Edwards SAPIEN 3 valve 13 . Tsushima et al created a points system including both balloon‐expandable and self‐expanding valves, including 31 (3.5%) pacemakers occurring after hospital discharge 14 . Their study found that a self‐expanding valve, history of hypertension, first degree AV block, and RBBB were predictors of need for PPM but there were no factors specifically associated with need for late PPM.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Kiani et al developed a points system to risk‐stratify patients for PPM implantation after undergoing TAVR with the balloon‐expandable Edwards SAPIEN 3 valve 13 . Tsushima et al created a points system including both balloon‐expandable and self‐expanding valves, including 31 (3.5%) pacemakers occurring after hospital discharge 14 . Their study found that a self‐expanding valve, history of hypertension, first degree AV block, and RBBB were predictors of need for PPM but there were no factors specifically associated with need for late PPM.…”
Section: Discussionmentioning
confidence: 99%
“…Several single‐center studies have demonstrated the association of pre‐procedural right bundle branch block (RBBB), use of self‐expanding valves versus balloon‐expandable valves, first‐degree atrioventricular block, and valve oversizing as potential risk factors for HAVB post‐TAVR 3,7,8 . Several groups have developed risk stratification tools to predict risk for HAVB 9‐14 . A recent expert consensus document suggests a management strategy for post‐TAVR conduction changes and timing of PPM implantation although the algorithms are quite complex and mostly driven by expert opinion 15 …”
Section: Introductionmentioning
confidence: 99%
“…Several groups have implemented risk stratification scores to predict PPM implementation, although these scores do not discriminate early from late-onset HAVB. [ 10 , 11 ]…”
Section: Timing Of Heart Blockmentioning
confidence: 99%
“…The development of the risk-prediction model for CIED after TAVR has been previously described (1). In brief, 888 patients were randomly divided into two groups, a derivation cohort and validation cohort (507 and 381 cases, respectively).…”
Section: Summary Of Our Previously Reported Modelmentioning
confidence: 99%
“…Several risk calculators have been developed to identify patients at risk for post-TAVR CIED implantation (1,(11)(12). Kiani et al reported the Emory Risk Score, however this model was only applicable to patients with balloon-expandable valve (Edwards SAPIEN 3), not for those receiving self-expanding prostheses.…”
Section: Introductionmentioning
confidence: 99%