Literature DB >> 30629156

Prognostic implications of psoas muscle area in patients undergoing transcatheter aortic valve implantation.

Markus Kofler1, Sebastian J Reinstadler2, Agnes Mayr3, Lukas Stastny1, Martin Reindl2, Julia Dumfarth1, Theresa M Dachs1, Kristina Wachter4, Christian J Rustenbach5, Guy Friedrich2, Gudrun Feuchtner3, Gert Klug2, Peter Bramlage6, Bernhard Metzler2, Michael Grimm1, Hardy Baumbach4, Nikolaos Bonaros1.   

Abstract

OBJECTIVES: This study sought to assess the incremental prognostic value of the psoas muscle area in patients scheduled for transcatheter aortic valve implantation (TAVI).
METHODS: A total of 1076 consecutive patients undergoing TAVI at 2 centres between 2010 and 2017 were prospectively included in this study. Computed tomography-derived cross-sectional area of the psoas muscle was measured at the superior border of the third (L3) and fourth (L4) lumbar vertebra and indexed to body surface area (PMAi) as well as stratified into tertiles. Multivariable logistic regression and Cox regression analyses were performed to investigate the value of PMAi as a predictor of 30-day and cumulative mortality. The incremental prognostic value of PMAi over the Society of Thoracic Surgeons (STS) score was assessed using a net reclassification analysis.
RESULTS: The rate of 30-day mortality was 5.8% (n = 62). PMAi at the level of L3 [odds ratio 0.082, 95% confidence interval (CI) 0.011-0.589; P = 0.013] and L4 (odds ratio 0.049, 95% CI 0.005-0.536; P = 0.013) was independently associated with 30-day mortality. During a median follow-up of 435 days (interquartile range 139-904), 292 patients (27.1%) died. PMAi of L3 (hazard ratio 0.200, 95% CI 0.083-0.482; P < 0.001) and L4 (hazard ratio 0.083, 95% CI 0.029-0.235; P < 0.001) was independently associated with mortality during follow-up. The addition of PMAi to the STS score led to a net reclassification improvement for 30-day and cumulative mortality.
CONCLUSIONS: PMAi emerged as a valuable outcome predictor in patients undergoing TAVI. The addition of PMAi to the established STS score led to an increase in its prognostic ability.

Entities:  

Year:  2019        PMID: 30629156     DOI: 10.1093/ejcts/ezy244

Source DB:  PubMed          Journal:  Eur J Cardiothorac Surg        ISSN: 1010-7940            Impact factor:   4.191


  4 in total

1.  Influence of Baseline CT Body Composition Parameters on Survival in Patients with Pancreatic Adenocarcinoma.

Authors:  Nick Lasse Beetz; Dominik Geisel; Christoph Maier; Timo Alexander Auer; Seyd Shnayien; Thomas Malinka; Christopher Claudius Maximilian Neumann; Uwe Pelzer; Uli Fehrenbach
Journal:  J Clin Med       Date:  2022-04-22       Impact factor: 4.964

2.  Psoas muscle size, possible sarcopenia and frailty, and long-term survival in elderly patients after isolated surgical aortic valve replacement for aortic stenosis.

Authors:  Yasuo Kondo; Tomoaki Suzuki; Masahide Enomoto; Noriyuki Takashima; Takeshi Kinoshita
Journal:  Indian J Thorac Cardiovasc Surg       Date:  2022-02-02

3.  Loss of skeletal muscle mass predicts cardiac death in heart failure with a preserved ejection fraction but not heart failure with a reduced ejection fraction.

Authors:  Koichiro Matsumura; Wakana Teranaka; Hiroshi Matsumoto; Kenichi Fujii; Satoshi Tsujimoto; Munemitsu Otagaki; Shun Morishita; Kenta Hashimoto; Hiroki Shibutani; Yoshihiro Yamamoto; Ichiro Shiojima
Journal:  ESC Heart Fail       Date:  2020-09-23

4.  Effects of Artificial Intelligence-Derived Body Composition on Kidney Graft and Patient Survival in the Eurotransplant Senior Program.

Authors:  Nick Lasse Beetz; Dominik Geisel; Seyd Shnayien; Timo Alexander Auer; Brigitta Globke; Robert Öllinger; Tobias Daniel Trippel; Thomas Schachtner; Uli Fehrenbach
Journal:  Biomedicines       Date:  2022-02-26
  4 in total

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