Evidence map›Paper›PMID 24643728›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2014

Development of a risk score for outcome after transcatheter aortic valve implantation.

Moritz Seiffert, Jan-Malte Sinning, Alexander Meyer, Sandra Wilde, Lenard Conradi, Mariuca Vasa-Nicotera, Alexander Ghanem, Jörg Kempfert, Christoph Hammerstingl, Francisco M Ojeda and 14 more

Abstract readValidation Study
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In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  11. Obesity and Transcatheter Aortic Valve Replacement.Journal of cardiovascular development and disease · 2024
    Review
  12. Risk stratification using growth differentiation factor 15 in patients undergoing transcatheter aortic valve implantation.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2023
    Article
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  20. Preoperative frailty parameters as predictors for outcomes after transcatheter aortic valve implantation: a systematic review and meta-analysis.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Moritz SeiffertDepartment of General and Interventional Cardiology, University Heart Center Hamburg-Eppendorf, Building East 70 (O70), Martinistrasse 52, 20246, Hamburg, Germany.
Jan-Malte Sinning
Alexander Meyer
Sandra Wilde
Lenard Conradi
Mariuca Vasa-Nicotera
Alexander Ghanem
Jörg Kempfert
Christoph Hammerstingl
Francisco M Ojeda
Won-Keun Kim
Dietmar H Koschyk
Johannes Schirmer
Stephan Baldus
Eberhard Grube
Helge Möllmann
Hermann Reichenspurner
Georg Nickenig
Stefan Blankenberg
Patrick Diemert
Hendrik Treede
Thomas Walther
Nikos Werner
Renate B Schnabel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTranscatheter aortic valve implantation (TAVI) is an increasingly common procedure in elderly and multimorbid patients with aortic stenosis. We aimed at developing a pre-procedural risk evaluation scheme beyond current surgical risk scores.

methodsWe developed a risk algorithm for 1-year mortality in two cohorts consisting of 845 patients undergoing routine TAVI procedures by commercially available devices, mean age 80.9 ± 6.5, 51 % women. Clinical variables were determined at baseline. Multivariable Cox regression related clinical data to mortality (n = 207 deaths).

resultsTo account for variability related to age and sex and by enrolment site we forced age, sex, and cohort into the score model. Body mass index, estimated glomerular filtration rate, hemoglobin, pulmonary hypertension, mean transvalvular gradient and left ventricular ejection fraction at baseline were most strongly associated with mortality and entered the risk prediction algorithm [C-statistic 0.66, 95 % confidence interval (CI) 0.61-0.70, calibration χ (2)-statistic = 6.51; P = 0.69]. Net reclassification improvement compared to existing surgical risk predication schemes was positive. The score showed reasonable model fit and calibration in external validation in 333 patients, N = 55 deaths (C-statistic 0.60, 95 % CI 0.52-0.68; calibration χ (2)-statistic = 16.2; P = 0.06). Additional measurement of B-type natriuretic peptide and troponin I did not improve the C-statistic. Frailty increased the C-statistic to 0.71, 95 % CI 0.65-0.76.

conclusionsWe present a new risk evaluation tool derived and validated in routine TAVI cohorts that predicts 1-year mortality. Biomarkers only marginally improved risk prediction. Frailty increased the discriminatory ability of the score and needs to be considered. Risk algorithms specific for TAVI may help to guide decision-making when patients are evaluated for TAVI.

Indexed as

AlgorithmsAgedAged, 80 and overAortic Valve StenosisBiomarkersCohort StudiesFemaleFollow-Up StudiesFrail ElderlyHumansMaleMiddle AgedMultivariate AnalysisOutcome Assessment, Health CareProportional Hazards ModelsProspective StudiesBiomarkers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.