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Chen Y, Cai C, Qiao F, Li B, Xu Z, Lu F, An Z. Preoperative 6-minute walk test predicts prolonged hospitalization after transcatheter tricuspid valve replacement. Medicine (Baltimore) 2022; 101:e32379. [PMID: 36595770 PMCID: PMC9794248 DOI: 10.1097/md.0000000000032379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
The purpose of this study is to determine whether preoperative 6-minute walk test (6MWT) is associated with prolonged postoperative hospitalization in high risk patients with severe tricuspid regurgitation (TR) after transcatheter tricuspid valve replacement (TTVR). Forty-one patients with severe TR who underwent TTVR and discharged between September 2018 and April 2021 were enrolled in this study. Patients were divided into 2 groups according to whether the postoperative hospital stay was >10 days and patients' data were retrospectively collected. 6MWT was performed before operation. Twenty-one patients were in the control group (≤10 days) and 20 patients were in the prolonged postoperative stay (PPS) group (>10 days). 6MWT distance was significantly decreased in PPS group (192.70 ± 62.34 vs 274.57 ± 52.09 m, P < .05). PPS group had more patients with severe liver disease (50.00% vs 19.05%, P < .05), higher systolic pulmonary artery pressure (45.05 ± 9.28 vs 35.57 ± 8.91 mm Hg, P < .05) and longer procedure time (159.85 ± 56.61 vs 124.43 ± 31.67 min, P < .05). Multivariable logistic regression analysis found 6MWT <267 m was an independent risk factor with the odds ratio of 10.95 (1.66-72.39, P < .05) for prolonged postoperative hospitalization in patients who received TTVR. In the present study, we identified that preoperative decreased 6MWT distance was an independent risk factor for prolonged hospitalization in high risk TR patients after TTVR.
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Affiliation(s)
- Yanjing Chen
- Department of Cardiovascular Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Chengliang Cai
- Department of Cardiovascular Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Fan Qiao
- Department of Cardiovascular Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Bailing Li
- Department of Cardiovascular Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zhiyun Xu
- Department of Cardiovascular Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Fanglin Lu
- Department of Cardiovascular Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Zhao An
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
- * Correspondence: Zhao An, Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai 200433, China (e-mail: )
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Schubert C, Archer G, Zelis JM, Nordmeyer S, Runte K, Hennemuth A, Berger F, Falk V, Tonino PAL, Hose R, ter Horst H, Kuehne T, Kelm M. Wearable devices can predict the outcome of standardized 6-minute walk tests in heart disease. NPJ Digit Med 2020; 3:92. [PMID: 32665977 PMCID: PMC7347580 DOI: 10.1038/s41746-020-0299-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 06/16/2020] [Indexed: 11/08/2022] Open
Abstract
Wrist-worn devices with heart rate monitoring have become increasingly popular. Although current guidelines advise to consider clinical symptoms and exercise tolerance during decision-making in heart disease, it remains unknown to which extent wearables can help to determine such functional capacity measures. In clinical settings, the 6-minute walk test has become a standardized diagnostic and prognostic marker. We aimed to explore, whether 6-minute walk distances can be predicted by wrist-worn devices in patients with different stages of mitral and aortic valve disease. A total of n = 107 sensor datasets with 1,019,748 min of recordings were analysed. Based on heart rate recordings and literature information, activity levels were determined and compared to results from a 6-minute walk test. The percentage of time spent in moderate activity was a predictor for the achievement of gender, age and body mass index-specific 6-minute walk distances (p < 0.001; R 2 = 0.48). The uncertainty of these predictions is demonstrated.
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Affiliation(s)
- Charlotte Schubert
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
- Department of Congenital Heart Disease, German Heart Center Berlin (Deutsches Herzzentrum Berlin, DHZB), 13353 Berlin, Germany
| | - Gareth Archer
- Cardiothoracic Centre, Sheffield Teaching Hospital NHS Foundation Trust, Sheffield, S5 7AT UK
| | - Jo M. Zelis
- Department of Cardiology, Catharina Hospital Eindhoven, 5602 ZA Eindhoven, The Netherlands
| | - Sarah Nordmeyer
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Kilian Runte
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
| | - Anja Hennemuth
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany
| | - Felix Berger
- Department of Congenital Heart Disease, German Heart Center Berlin (Deutsches Herzzentrum Berlin, DHZB), 13353 Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany
| | - Volkmar Falk
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany
- Department of Cardiothoracic and Vascular Surgery, German Heart Center Berlin (Deutsches Herzzentrum Berlin, DHZB), 13353 Berlin, Germany
- Department of Cardiovascular Surgery, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
- Department of Health Science and Technology, Swiss Federal Institute of Technology, 8092 Zurich, Switzerland
| | - Pim A. L. Tonino
- Department of Cardiology, Catharina Hospital Eindhoven, 5602 ZA Eindhoven, The Netherlands
| | - Rod Hose
- Cardiothoracic Centre, Sheffield Teaching Hospital NHS Foundation Trust, Sheffield, S5 7AT UK
| | - Herman ter Horst
- Department of Chronic Disease Management, Philips Electronics Nederland B.V., 5656 AE Eindhoven, The Netherlands
| | - Titus Kuehne
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
- Department of Congenital Heart Disease, German Heart Center Berlin (Deutsches Herzzentrum Berlin, DHZB), 13353 Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 10785 Berlin, Germany
| | - Marcus Kelm
- Institute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charité-Universitätsmedizin Berlin, 13353 Berlin, Germany
- Department of Congenital Heart Disease, German Heart Center Berlin (Deutsches Herzzentrum Berlin, DHZB), 13353 Berlin, Germany
- Berlin Institute of Health (BIH), 10178 Berlin, Germany
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