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Gait Speed Can Predict Advanced Clinical Outcomes in Patients Who Undergo Transcatheter Aortic Valve Replacement: Insights From a Japanese Multicenter Registry.

Authors :
Seiji Kano
Masanori Yamamoto
Tetsuro Shimura
Masanao Tsuzuki
Atsuko Kodama
Yutaka Koyama
Toshihiro Kobayashi
Kenichi Shibata
Norio Tada
Toru Naganuma
Motoharu Araki
Futoshi Yamanaka
Shinichi Shirai
Kazuki Mizutani
Minoru Tabata
Hiroshi Ueno
Kensuke Takagi
Akihiro Higashimori
Toshiaki Otsuka
Yusuke Watanabe
Source :
Circulation: Cardiovascular Interventions; Sep2017, Vol. 10 Issue 9, p1-11, 11p
Publication Year :
2017

Abstract

Background--Gait speed reflects an important factor of frailty and is associated with an increased risk of late mortality in patients with cardiac disease. This study sought to assess the prognostic value of gait speed in elderly patients who underwent transcatheter aortic valve replacement. Methods and Results--We investigated the 5-m or 15-feet gait speed (m/sec) in 1256 patients who underwent transcatheter aortic valve implantation using data from the OCEAN-TAVI Japanese multicenter registry (Optimized Catheter Valvular Intervention-Transcatheter Aortic Valve Implantation). Baseline characteristics, procedural outcomes, and all-cause mortality were compared among groups defined by differential gait speed classification: model 1, normal (>0.83 m/sec; n=563; 44.8%), slow (0.5-0.83 m/sec; n=429; 34.2%), slowest (<0.83 m/sec; n=205; 16.3%), unable to walk (n=48; 3.8%); and model 2, classification and regression tree survival model indicating the threshold of gait speed as 0.385 m/sec (>0.385 m/sec; n=1080 versus =0.385 m/sec; n=117). The cumulative 1-year mortality rate showed significant differences in the classical gait speed groups in model 1 (7.6%, 6.6%, 18.2%, and 40.7%, respectively; P<0.001) and survival classification and regression tree group in model 2 (7.7% versus 21.9%; P<0.001). The slowest walkers and those unable to walk demonstrated independent associations with increased midterm mortality after adjustment for several confounding factors (hazard ratio, 1.83, 4.28; 95% confidence interval, 1.03-3.26, 2.22-8.72; P=0.039, <0.001, respectively). Gait speed <0.385 m/sec determined by classification and regression tree also independently associated with worse prognosis (hazard ratio, 2.40; 95% confidence interval, 1.75-5.88; P=0.001). Conclusions--Gait speed using both traditional and specific classification is useful as a potential marker for predicting vulnerable patients associated with adverse clinical outcomes after transcatheter aortic valve replacement. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19417640
Volume :
10
Issue :
9
Database :
Supplemental Index
Journal :
Circulation: Cardiovascular Interventions
Publication Type :
Academic Journal
Accession number :
125277445
Full Text :
https://doi.org/10.1161/CIRCINTERVENTIONS.117.005088