ArticleJACC. Asia2022
A Risk Model for 1-Year Mortality After Transcatheter Aortic Valve Replacement From the J-TVT Registry.
Article in JACC. Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Early predictive value of prediction models for mortality after transcatheter aortic valve replacement: a systematic review and meta-analysis.Frontiers in cardiovascular medicine · 2026Pooled it
- Prognostic utility of serum albumin in underweight patients who underwent isolated surgical aortic valve replacement.General thoracic and cardiovascular surgery · 2026Article
- Prognostic value of the hemoglobin-albumin-lymphocyte-platelet (HALP) score for long-term mortality after transcatheter aortic valve implantation.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2026Article
- Prognostic Value of the C-Reactive Protein-Albumin-Lymphocyte (CALLY) Index for 1-Year Mortality After Transcatheter Aortic Valve Implantation.Journal of cardiovascular development and disease · 2026Article
- Article
- Beyond Conventional Meta-Analysis: A Meta-Learning Model to Predict Cohort-Level Mortality After Transcatheter Aortic Valve Replacement (TAVR).Journal of cardiovascular development and disease · 2025Review
- Predicting one-year outcomes after TAVI: evidence from a two-site Swiss registry.BMC cardiovascular disorders · 2025Observational
- Impact of Elevated Preprocedural Left Ventricular Filling Pressure on Prognosis of Mild Paravalvular Regurgitation Following Transcatheter Aortic Valve Replacement.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025Article
- The Triglycerides, total Cholesterol, and Body weight Index associating with frailty and predicting poor outcome after transcatheter aortic valve implantation: insights from LAPLACE-TAVI registry.European heart journal open · 2025Article
- Usefulness of frailty assessment using the revised Japanese version of the Cardiovascular Health Study on the prediction of clinical outcomes in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement.Cardiovascular intervention and therapeutics · 2025Article
- Obesity and Transcatheter Aortic Valve Replacement.Journal of cardiovascular development and disease · 2024Review
- Impact of serum haemoglobin-to-creatinine ratio after transcatheter aortic valve implantation.Open heart · 2023Article
- Feasibility of Transcatheter Aortic Valve Implantation in Patients With Very Severe Aortic Stenosis.Circulation reports · 2023Article
- Predicting Futility in Transcatheter Aortic Valve Replacement: Good Getting Better?JACC. Asia · 2022Article
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15 authors.
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Abstract
Background: Although transcatheter aortic valve replacement (TAVR) has demonstrated favorable outcomes in randomized studies, there remains a sizable group of patients in whom TAVR may be futile. Characterizing the survival rate in a wide array of patients undergoing TAVR can help develop effective strategies for improving the allocation of medial resources. Objectives: The aim of this study was to develop a risk model to estimate 1-year mortality after TAVR from a representative nationwide registry in Japan. Methods: The J-TVT (Japan Transcatheter Valve Therapies) registry contains complete data, including 1-year outcomes, on patients undergoing TAVR in Japan. A total of 17,655 patients underwent TAVR between 2013 and 2018. They were randomly divided into 2 groups in a 7:3 ratio to form a derivation cohort of 12,316 patients and a validation cohort of 5,339 patients. A risk model was constructed for 1-year mortality in the derivation cohort, and its discrimination and calibration were assessed in the validation cohort. Results: The mean age of all registered patients was 84.4 years, and 68.8% were women. The mean body size area was 1.43 m Conclusions: A prediction model for 1-year survival following TAVR derived from a national clinical database performed well and should aid physicians managing TAVR patients.
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