Literature DB >> 23233745

A validated risk score to predict outcomes after carotid stenting.

Matthias Hoke1, Elmir Ljubuncic, Clemens Steinwender, Kurt Huber, Erich Minar, Renate Koppensteiner, Franz Leisch, Petra Dick, Klaus Kerschner, Martin Schillinger, Robert Hofmann, Alexander Niessner.   

Abstract

BACKGROUND: Periprocedural outcome has been extensively investigated in patients undergoing carotid artery stenting. However, risk factors contributing to long-term mortality have not been comprehensively assessed. We aimed to establish a validated clinical risk score for long-term mortality in patients after carotid artery stenting. METHODS AND
RESULTS: Two independent cohorts after successful carotid artery stenting (602 and 552 patients) were prospectively investigated. Multivariable Cox regression and bootstrap variable selection were used to select the best-fitting multivariable model. The mortality rate was 35% in the derivation and 39% in the validation cohort during a median follow-up of 6.5 and 7.4 years, respectively. The following variables were identified as most robust risk factors in the derivation cohort: age, heart failure, diabetes mellitus, relative lymphocyte count, prothrombin time, peripheral artery disease, and contralateral carotid occlusion. A weighted multimarker risk score yielded an area under the receiver operating characteristic curve of 0.79 in the derivation (P<0.001) and of 0.69 (P<0.001) in the validation cohort. In comparison, the best area under the receiver operating characteristic curves for single risk factors were 0.67 and 0.63, respectively. For optimal clinical use, a simplified risk score was also developed, which discriminated very well from very low to very high risk. The risk of all-cause mortality ranged from 8% for a score of 1 to 93% for a score of 7 (P<0.001) in the derivation and from 11% to 100% in the validation cohort (P<0.001).
CONCLUSIONS: A multimarker risk score outperformed the prognostic value of single risk factors for the prediction of long-term mortality.

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Year:  2012        PMID: 23233745     DOI: 10.1161/CIRCINTERVENTIONS.112.972430

Source DB:  PubMed          Journal:  Circ Cardiovasc Interv        ISSN: 1941-7640            Impact factor:   6.546


  4 in total

1.  [Researcher of the Month April 2014].

Authors:  Matthias Hoke
Journal:  Wien Klin Wochenschr       Date:  2014-04       Impact factor: 1.704

2.  External Validation of Risk Prediction Models to Improve Selection of Patients for Carotid Endarterectomy.

Authors:  Michiel H F Poorthuis; Reinier A R Herings; Kirsten Dansey; Johanna A A Damen; Jacoba P Greving; Marc L Schermerhorn; Gert J de Borst
Journal:  Stroke       Date:  2021-10-12       Impact factor: 7.914

3.  Impact of coexisting multivessel coronary artery disease on short-term outcomes and long-term survival of patients treated with carotid stenting.

Authors:  Josef Veselka; Miloslav Špaček; Martin Horváth; Cyril Štěchovský; Ingrid Homolová; Petra Zimolová; Petr Hájek
Journal:  Arch Med Sci       Date:  2016-07-01       Impact factor: 3.318

4.  Risk analysis of carotid stent from a population-based database in Taiwan.

Authors:  Chun-An Cheng; Wu-Chien Chien; Chien-Yeh Hsu; Hui-Chen Lin; Hung-Wen Chiu
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

  4 in total

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