Literature DB >> 32040683

Importance of combined assessment of skeletal muscle mass and density by computed tomography in predicting clinical outcomes after transcatheter aortic valve replacement.

Takahiro Tokuda1, Masanori Yamamoto2, Ai Kagase1, Yutaka Koyama1, Toshiaki Otsuka3,4, Norio Tada5, Toru Naganuma6, Motoharu Araki7, Futoshi Yamanaka8, Shinichi Shirai9, Kazuki Mizutani10, Minoru Tabata11, Hiroshi Ueno12, Kensuke Takagi13, Akihiro Higashimori14, Yusuke Watanabe15, Kentaro Hayashida16.   

Abstract

Skeletal muscle mass (SMM) as calculated by computed tomography (CT) is a predictor of all-cause mortality after transcatheter aortic valve replacement (TAVR), but it remains unclear whether using CT-determined density of skeletal muscle has additive prognostic value. We utilized the Japanese multicenter registry data of 1375 patients who underwent CT prior to TAVR. Sarcopenia status was defined by the CT-derived SMM index (threshold: men, 55.4 cm2/m2; women, 38.9 cm2/m2). The threshold for high and low CT density was based on the median value of the entire cohort (men: 33.4 HU; women: 29.5 HU). Sarcopenia was observed in 802 patients (58.3%) overall. Patients were categorized into non-sarcopenia and high-CT density (n = 298), non-sarcopenia and low-CT density (n = 275), sarcopenia and high-CT density (n = 399), and sarcopenia and low-CT density (n = 403) groups, and procedural outcomes and mortality compared. The cumulative 3-year mortality rates in these groups were 18%, 27%, 24%, and 32%, respectively. Cox-regression multivariate analysis revealed that low-CT density (compared with high-CT density) and sarcopenia and low-CT density (compared with non-sarcopenia and high-CT density as reference) increased mortality after TAVR (hazard ratios [HR]: 1.35 and 1.43, 95% confidence intervals [Cis]: 1.06-1.72 and 1.00-2.08, p = 0.01, and 0.049, respectively). However, sarcopenia alone was not related to an increased risk of mortality (HR 1.30, 95% CI 0.99-1.69, p = 0.52). In conclusion, CT density-based skeletal muscle quality assessment combined with the SMM index improves prediction of adverse outcomes after TAVR.

Entities:  

Keywords:  OCEAN; Sarcopenia; Skeletal muscle density; Skeletal muscle mass; Transcatheter aortic valve replacement

Year:  2020        PMID: 32040683     DOI: 10.1007/s10554-020-01776-x

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  25 in total

1.  Usefulness of Psoas Muscle Area and Volume and Frailty Scoring to Predict Outcomes After Transcatheter Aortic Valve Implantation.

Authors:  Pawel Kleczynski; Tomasz Tokarek; Artur Dziewierz; Danuta Sorysz; Maciej Bagienski; Lukasz Rzeszutko; Dariusz Dudek
Journal:  Am J Cardiol       Date:  2018-03-28       Impact factor: 2.778

2.  Low radiographic muscle density is associated with lower overall and disease-free survival in early-stage colorectal cancer patients.

Authors:  Harm van Baar; S Beijer; M J L Bours; M P Weijenberg; M van Zutphen; F J B van Duijnhoven; G D Slooter; J F M Pruijt; J J Dronkers; A Haringhuizen; E J Spillenaar Bilgen; B M E Hansson; J H W de Wilt; E Kampman; R M Winkels
Journal:  J Cancer Res Clin Oncol       Date:  2018-08-17       Impact factor: 4.553

3.  Prognostic Value of Fat Mass and Skeletal Muscle Mass Determined by Computed Tomography in Patients Who Underwent Transcatheter Aortic Valve Implantation.

Authors:  Michael Mok; Ricardo Allende; Jonathon Leipsic; Omar Abdul-Jawad Altisent; Maria Del Trigo; Francisco Campelo-Parada; Robert DeLarochellière; Eric Dumont; Daniel Doyle; Mélanie Côté; Melanie Freeman; John Webb; Josep Rodés-Cabau
Journal:  Am J Cardiol       Date:  2015-12-13       Impact factor: 2.778

4.  Prognostic Value of Psoas Muscle Area and Density in Patients Who Undergo Cardiovascular Surgery.

Authors:  Masashi Yamashita; Kentaro Kamiya; Atsuhiko Matsunaga; Tadashi Kitamura; Nobuaki Hamazaki; Ryota Matsuzawa; Kohei Nozaki; Shinya Tanaka; Takeshi Nakamura; Emi Maekawa; Takashi Masuda; Junya Ako; Kagami Miyaji
Journal:  Can J Cardiol       Date:  2017-10-16       Impact factor: 5.223

5.  Skeletal muscle attenuation determined by computed tomography is associated with skeletal muscle lipid content.

Authors:  B H Goodpaster; D E Kelley; F L Thaete; J He; R Ross
Journal:  J Appl Physiol (1985)       Date:  2000-07

Review 6.  Sarcopenia: Current Concepts and Imaging Implications.

Authors:  Robert D Boutin; Lawrence Yao; Robert J Canter; Leon Lenchik
Journal:  AJR Am J Roentgenol       Date:  2015-06-23       Impact factor: 3.959

7.  Impact of the Clinical Frailty Scale on Outcomes After Transcatheter Aortic Valve Replacement.

Authors:  Tetsuro Shimura; Masanori Yamamoto; Seiji Kano; Ai Kagase; Atsuko Kodama; Yutaka Koyama; Etsuo Tsuchikane; Takahiko Suzuki; Toshiaki Otsuka; Shun Kohsaka; Norio Tada; Futoshi Yamanaka; Toru Naganuma; Motoharu Araki; Shinichi Shirai; Yusuke Watanabe; Kentaro Hayashida
Journal:  Circulation       Date:  2017-03-16       Impact factor: 29.690

8.  Computed tomography-derived skeletal muscle index: A novel predictor of frailty and hospital length of stay after transcatheter aortic valve replacement.

Authors:  Vishal Dahya; Jingjie Xiao; Carla M Prado; Penny Burroughs; Dan McGee; Aline C Silva; Julian E Hurt; Shafi G Mohamed; Thomas Noel; Wayne Batchelor
Journal:  Am Heart J       Date:  2016-09-12       Impact factor: 4.749

9.  Influence of body composition profile on outcomes following colorectal cancer surgery.

Authors:  G Malietzis; A C Currie; T Athanasiou; N Johns; N Anyamene; R Glynne-Jones; R H Kennedy; K C H Fearon; J T Jenkins
Journal:  Br J Surg       Date:  2016-04       Impact factor: 6.939

10.  Computed tomography-based fat and muscle characteristics are associated with mortality after transcatheter aortic valve replacement.

Authors:  Borek Foldyna; Fabian M Troschel; Daniel Addison; Florian J Fintelmann; Sammy Elmariah; Deborah Furman; Parastou Eslami; Brian Ghoshhajra; Michael T Lu; Venkatesh L Murthy; Udo Hoffmann; Ravi Shah
Journal:  J Cardiovasc Comput Tomogr       Date:  2018-03-22
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  4 in total

1.  Internal calibration for opportunistic computed tomography muscle density analysis.

Authors:  Ainsley C J Smith; Justin J Tse; Tadiwa H Waungana; Kirsten N Bott; Michael T Kuczynski; Andrew S Michalski; Steven K Boyd; Sarah L Manske
Journal:  PLoS One       Date:  2022-10-17       Impact factor: 3.752

2.  Impact of arm circumference on clinical outcomes in patients undergoing transcatheter aortic valve replacement.

Authors:  Kenichi Shibata; Masanori Yamamoto; Masataka Kameshima; Hiroaki Fujiyama; Taisei Sano; Ai Kagase; Takahiro Tokuda; Yuya Adachi; Ryo Yamaguchi; Tetsuro Shimura; Naoki Iritani; Kazuma Murase; Yutaka Koyama
Journal:  Int J Cardiol Heart Vasc       Date:  2022-05-14

3.  Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area.

Authors:  Dennis Van Erck; Pim Moeskops; Josje D Schoufour; Peter J M Weijs; Wilma J M Scholte Op Reimer; Martijn S Van Mourik; Yvonne C Janmaat; R Nils Planken; Marije Vis; Jan Baan; Robert Hemke; Ivana Išgum; José P Henriques; Bob D De Vos; Ronak Delewi
Journal:  Front Nutr       Date:  2022-05-12

4.  Impact of Severe Sarcopenia on Rehospitalization and Survival One Year After a TAVR Procedure in Patients Aged 75 and Older.

Authors:  Céline Brouessard; Anne Sophie Bobet; Marie Mathieu; Thibaut Manigold; Pierre Paul Arrigoni; Thierry Le Tourneau; Laure De Decker; Anne-Sophie Boureau
Journal:  Clin Interv Aging       Date:  2021-07-05       Impact factor: 4.458

  4 in total

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