Gait Speed Can Predict Advanced Clinical Outcomes in Patients Who Undergo Transcatheter Aortic Valve Replacement: Insights From a Japanese Multicenter Registry. (September 2017)
- Record Type:
- Journal Article
- Title:
- Gait Speed Can Predict Advanced Clinical Outcomes in Patients Who Undergo Transcatheter Aortic Valve Replacement: Insights From a Japanese Multicenter Registry. (September 2017)
- Main Title:
- Gait Speed Can Predict Advanced Clinical Outcomes in Patients Who Undergo Transcatheter Aortic Valve Replacement
- Authors:
- Kano, Seiji
Yamamoto, Masanori
Shimura, Tetsuro
Kagase, Ai
Tsuzuki, Masanao
Kodama, Atsuko
Koyama, Yutaka
Kobayashi, Toshihiro
Shibata, Kenichi
Tada, Norio
Naganuma, Toru
Araki, Motoharu
Yamanaka, Futoshi
Shirai, Shinichi
Mizutani, Kazuki
Tabata, Minoru
Ueno, Hiroshi
Takagi, Kensuke
Higashimori, Akihiro
Otsuka, Toshiaki
Watanabe, Yusuke
Hayashida, Kentaro - Abstract:
- 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 (hazardAbstract : 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 : Supplemental Digital Content is available in the text. … (more)
- Is Part Of:
- Circulation. Volume 10:Number 9(2017)
- Journal:
- Circulation
- Issue:
- Volume 10:Number 9(2017)
- Issue Display:
- Volume 10, Issue 9 (2017)
- Year:
- 2017
- Volume:
- 10
- Issue:
- 9
- Issue Sort Value:
- 2017-0010-0009-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-09
- Subjects:
- foot -- heart diseases -- risk -- transcatheter aortic valve replacement -- walkers
Cardiovascular system -- Surgery -- Periodicals
Cardiovascular system -- Diseases -- Treatment -- Periodicals
616.105 - Journal URLs:
- http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&PAGE=toc&D=ovft&AN=01337495-000000000-00000 ↗
http://circinterventions.ahajournals.org/ ↗
http://journals.lww.com ↗ - DOI:
- 10.1161/CIRCINTERVENTIONS.117.005088 ↗
- Languages:
- English
- ISSNs:
- 1941-7640
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3265.262560
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 4705.xml