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Background: Transcatheter aortic valve implantation (TAVI) is indicated for patients with aortic stenosis who are intermediate-high surgical risk. Although all-cause mortality rates after TAVI are established, survival attributable to the procedure is unclear because of competing causes of mortality. The aim was to report relative survival (RS) after TAVI, which accounts for background mortality risks in a matched general population.
Methods And Results: National cohort data (n=6420) from the 2007 to 2014 UK TAVI registry were matched by age, sex, and year to mortality rates for England and Wales (population, 57.9 million). The Ederer II method related observed patient survival to that expected from the matched general population. We modelled RS using a flexible parametric approach that modelled the log cumulative hazard using restricted cubic splines. RS of the TAVI cohort was 95.4%, 90.2%, and 83.8% at 30 days, 1 year, and 3 years, respectively. By 1-year follow-up, mortality hazards in the >85 years age group were not significantly different from those of the matched general population; by 3 years, survival rates were comparable. The flexible parametric RS model indicated that increasing age was associated with significantly lower excess hazards after the procedure; for example, by 2 years, a 5-year increase in age was associated with 20% lower excess mortality over the general population.
Conclusions: RS after TAVI was high, and survival rates in those aged >85 years approximated those of a matched general population within 3 years. High rates of RS indicate that patients selected for TAVI tolerate the risks of the procedure well.
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http://dx.doi.org/10.1161/JAHA.117.007229 | DOI Listing |
Int J Surg
August 2025
Department of General Surgery Center, Qingdao Municipal Hospital, Qingdao, Shandong, People's Republic of China.
Pol Merkur Lekarski
September 2025
FACULTY OF NURSING, UNIVERSITY OF KUFA, KUFA, IRAQ.
Objective: Aim: To evaluate clinical applicability of immune mediator's interleukin-16, immunoglobulin E along with eosinophil count in diagnosing COVID-19 and determining its severity.
Patients And Methods: Materials and Methods: Cross-sectional case-control study was conducted at Al-Najaf General Hospital, Najaf, Iraq between March and August 2024. 120 participants: 60 confirmed COVID-19 cases and 60 healthy controls which matched cases in terms of age and sex.
Phys Rev Lett
August 2025
Peng Huanwu Center for Fundamental Theory, Hefei, Anhui 230026, China.
We study nonperturbative effects of torus partition function of the TT[over ¯]-deformed 2D conformal field theory (CFT) by resurgence in this Letter and a companion paper. The deformed partition function can be written as an infinite series of the deformation parameter λ. We develop highly efficient methods to compute perturbative coefficients in the λ expansion.
View Article and Find Full Text PDFAm J Physiol Heart Circ Physiol
September 2025
Department of Medical Pharmacology and Physiology, School of Medicine, University of Missouri.
The sarcomeric protein cardiac myosin binding protein-C (cMyBP-C) binds myosin on thick filaments and regulates cardiac myocyte contraction. Our lab has reported that permeabilized cardiac myocytes lacking cMyBP-C generate greater power and show disproportionately fast sarcomere shortening velocities at high loads. Also, high resolution X-ray diffraction of cardiac trabeculae found that myosin cross-bridges in the cMyBP-C zone are the most active during loaded contractions.
View Article and Find Full Text PDFPLoS One
September 2025
School of Design and Art, Hunan University, Changsha, Hunan, China.
This study addresses the limitations of traditional interior space design, particularly the timeliness and uniqueness of solutions, by proposing an optimized design framework that integrates a two-stage deep learning network with a single-sample-driven mechanism. In the first stage, the framework employs a Transformer network to extract multi-dimensional features (such as spatial layout, color distribution, furniture style, etc.) from input space images, generating an initial feature vector.
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