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Erschienen in: Clinical Research in Cardiology 8/2014

01.08.2014 | Original Paper

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

verfasst von: Moritz Seiffert, 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

Erschienen in: Clinical Research in Cardiology | Ausgabe 8/2014

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Abstract

Aims

Transcatheter 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.

Methods

We 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).

Results

To 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.

Conclusions

We 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.
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Metadaten
Titel
Development of a risk score for outcome after transcatheter aortic valve implantation
verfasst von
Moritz Seiffert
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
Publikationsdatum
01.08.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Clinical Research in Cardiology / Ausgabe 8/2014
Print ISSN: 1861-0684
Elektronische ISSN: 1861-0692
DOI
https://doi.org/10.1007/s00392-014-0692-4

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