TY - JOUR
T1 - Predictors and biomarkers of subclinical leaflet thrombosis after transcatheter aortic valve implantation
AU - Pieniak, Katarzyna
AU - Jędrzejczyk, Szymon
AU - Domaszk, Olaf
AU - Grodecki, Kajetan
AU - Rymuza, Bartosz
AU - Huczek, Zenon
AU - Kochman, Janusz
AU - Filipiak, Krzysztof J.
AU - Gąsecka, Aleksandra
PY - 2020/11/1
Y1 - 2020/11/1
N2 - Transcatheter aortic valve implantation (TAVI) is a recent revolutionary treatment for high-risk patients with severe aortic stenosis who are not suitable for surgery, expanding to intermediate and low-risk patients. Valve leaflet thrombosis (LT) is a potentially fatal complication after TAVI. The incidence of subclinical LT is as high as 25% among patients in the first year after TAVI. Subclinical LT may evolve into symptomatic thrombosis or lead to premature bioprosthesis degeneration, increasing the risk of neurological complications. Because imaging-based methods have limited sensitivity to detect subclinical LT, there is an urgent need for predictors and biomarkers that would make it possible to predict LT after TAVI. Here, we summarize recent data regarding (i) patient-related, (ii) procedure-related, (iii) blood-based and (iv) imaging predictors and biomarkers which might be useful for the early diagnosis of subclinical LT after TAVI. Prevention of LT might offer an opportunity to improve risk stratification and tailor therapy after TAVI.
AB - Transcatheter aortic valve implantation (TAVI) is a recent revolutionary treatment for high-risk patients with severe aortic stenosis who are not suitable for surgery, expanding to intermediate and low-risk patients. Valve leaflet thrombosis (LT) is a potentially fatal complication after TAVI. The incidence of subclinical LT is as high as 25% among patients in the first year after TAVI. Subclinical LT may evolve into symptomatic thrombosis or lead to premature bioprosthesis degeneration, increasing the risk of neurological complications. Because imaging-based methods have limited sensitivity to detect subclinical LT, there is an urgent need for predictors and biomarkers that would make it possible to predict LT after TAVI. Here, we summarize recent data regarding (i) patient-related, (ii) procedure-related, (iii) blood-based and (iv) imaging predictors and biomarkers which might be useful for the early diagnosis of subclinical LT after TAVI. Prevention of LT might offer an opportunity to improve risk stratification and tailor therapy after TAVI.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114277507&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/33233321
U2 - https://doi.org/10.3390/jcm9113742
DO - https://doi.org/10.3390/jcm9113742
M3 - Review article
C2 - 33233321
SN - 2077-0383
VL - 9
SP - 1
EP - 14
JO - Journal of clinical medicine
JF - Journal of clinical medicine
IS - 11
ER -