ArticlePloS one2012
Prognostic utility of biomarkers in predicting of one-year outcomes in patients with aortic stenosis treated with transcatheter or surgical aortic valve implantation.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 33 citations in OpenAlex.
- Application of machine learning approaches in predicting clinical outcomes in older adults - a systematic review and meta-analysis.BMC geriatrics · 2023Pooled it
- Biomarkers Associated with Mortality in Aortic Stenosis: A Systematic Review and Meta-Analysis.Medical sciences (Basel, Switzerland) · 2021Pooled it
- Trial
- Thrombotic Versus Bleeding Risk After Transcatheter Aortic Valve Implantation.Journal of clinical medicine · 2026Review
- Plasma levels of NO-related pathway molecules to predict post-transcatheter aortic valve implantation major adverse cardiovascular events: a prospective, multicenter study.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2025Article
- Extracellular Matrix Proteins Improve Risk Prediction in Patients Undergoing Transcatheter Aortic Valve Replacement.Journal of the American Heart Association · 2025Article
- Albumin Redox Modifications Promote Cell Calcification Reflecting the Impact of Oxidative Status on Aortic Valve Disease and Atherosclerosis.Antioxidants (Basel, Switzerland) · 2024Article
- Low levels of circulating methylated IRX3 are related to worse outcome after transcatheter aortic valve implantation in patients with severe aortic stenosis.Clinical epigenetics · 2023Article
- Identification of key genes in calcific aortic valve disease by integrated bioinformatics analysis.Medicine · 2020Article
- Transcatheter aortic valve replacement- management of patients with significant coronary artery disease undergoing aortic valve interventions: surgical compared to catheter-based approaches in hybrid procedures.BMC cardiovascular disorders · 2019Observational
- Early Oxidative Stress Response in Patients with Severe Aortic Stenosis Undergoing Transcatheter and Surgical Aortic Valve Replacement: A Transatlantic Study.Oxidative medicine and cellular longevity · 2019Observational
- Clinical Implications of Serum Biomarkers of Cardiac Stress in Aortic Stenosis.Current heart failure reports · 2018Review
- Oxidation-Reduction Potential in Patients undergoing Transcatheter or Surgical Aortic Valve Replacement.BioMed research international · 2018Observational
- Early prediction of acute kidney injury after transapical and transaortic aortic valve implantation with urinary G1 cell cycle arrest biomarkers.BMC anesthesiology · 2016Observational
- Serum and tissue biomarkers in aortic stenosis.Global cardiology science & practice · 2015Article
- Lipoprotein-associated phospholipase A₂ mass level is increased in elderly subjects with type 2 diabetes mellitus.Journal of diabetes research · 2014Article
- Association of biomarkers of lipid modification with functional and morphological indices of coronary stenosis severity in stable coronary artery disease.Journal of cardiovascular translational research · 2013Article
- Serum copeptin might improve risk stratification and management of aortic valve stenosis: a review of pathophysiological insights and practical implications.Therapeutic advances in cardiovascular diseaseReview
Corrections and comments
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Authors and funding
18 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe aim of the work was to find biomarkers identifying patients at high risk of adverse clinical outcomes after TAVI and SAVR in addition to currently used predictive model (EuroSCORE).
backgroundThere is limited data about the role of biomarkers in predicting prognosis, especially when TAVI is available.
methodsThe multi-biomarker sub-study included 42 consecutive high-risk patients (average age 82.0 years; logistic EuroSCORE 21.0%) allocated to TAVI transfemoral and transapical using the Edwards-Sapien valve (n = 29), or SAVR with the Edwards Perimount bioprosthesis (n = 13). Standardized endpoints were prospectively followed during the 12-month follow-up.
resultsThe clinical outcomes after both TAVI and SAVR were comparable. Malondialdehyde served as the best predictor of a combined endpoint at 1 year with AUC (ROC analysis) = 0.872 for TAVI group, resp. 0.765 (p<0.05) for both TAVI and SAVR groups. Increased levels of MDA, matrix metalloproteinase 2, tissue inhibitor of metalloproteinase (TIMP1), ferritin-reducing ability of plasma, homocysteine, cysteine and 8-hydroxy-2-deoxyguanosine were all predictors of the occurrence of combined safety endpoints at 30 days (AUC 0.750-0.948; p<0.05 for all). The addition of MDA to a currently used clinical model (EuroSCORE) significantly improved prediction of a combined safety endpoint at 30 days and a combined endpoint (0-365 days) by the net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) (p<0.05). Cystatin C, glutathione, cysteinylglycine, asymmetric dimethylarginine, nitrite/nitrate and MMP9 did not prove to be significant. Total of 14.3% died during 1-year follow-up.
conclusionWe identified malondialdehyde, a marker of oxidative stress, as the most promising predictor of adverse outcomes during the 30-day and 1-year follow-up in high-risk patients with symptomatic, severe aortic stenosis treated with TAVI. The development of a clinical "TAVIscore" would be highly appreciated. Such dedicated scoring system would enable further testing of adjunctive value of various biomarkers.
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Registered trials
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