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Ueda M, Kubo T, Ochi Y, Takahashi A, Miyagawa K, Baba Y, Noguchi T, Hirota T, Yamasaki N, Yamamoto M, Nishimori H, Sasaguri S, Orihashi K, Kitaoka H. Preoperative Clinical Features and High Pulmonary Wedge Pressure with a Discordant Pattern as Prognostic Factor in Hemodialysis Patients with Severe Aortic Valve Stenosis. Int Heart J 2020; 61:720-726. [PMID: 32684592 DOI: 10.1536/ihj.19-575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Hemodialysis (HD) is one of the important risks for the development of cardiovascular disease, including aortic valve stenosis (AS). Although aortic valve replacement (AVR) is a beneficial treatment for AS, HD patients are known to show a high rate of mortality after AVR than non-HD patients.We retrospectively studied 109 patients who underwent AVR for severe AS, 18 of which were HD patients. Survival rate after AVR, preoperative clinical data, and surgical procedure were investigated.In preoperative clinical features, left ventricular end-diastolic diameter was larger, intraventricular septum thickness (IVST) was thicker, left ventricular mass index (LVMI) was higher, left ventricular ejection fraction was lower, E/e' was higher, and pulmonary arterial wedge pressure (PAWP) was higher in the HD group than in the non-HD group. During a follow-up period of 3.2 ± 2.3 years after AVR, patients receiving HD had a worse prognosis than those without HD treatment: the 3-year survival rate after surgery in the HD group was 36.2% and that in the non-HD group was 84.9%. With regard to prognostic factors in the whole cohort, significant differences were found in IVST, LVMI, E/e', PAWP, and HD. In patients receiving HD, abnormally high PAWP for their right atrial pressure (RAP) was observed, suggesting that PAWP and RAP were discordant, and univariate analysis revealed that high PAWP was the only predictor of mortality in HD patients after surgery.Preoperative PAWP with a discordant pattern in HD patients might be an important prognostic predictor after AVR.
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Affiliation(s)
- Motoko Ueda
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Toru Kubo
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Yuri Ochi
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Asa Takahashi
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Kazuya Miyagawa
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Yuichi Baba
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Tatsuya Noguchi
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Takayoshi Hirota
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Naohito Yamasaki
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
| | - Masaki Yamamoto
- Department of Surgery (Surgery 2), Kochi Medical School, Kochi University
| | - Hideaki Nishimori
- Department of Surgery (Surgery 2), Kochi Medical School, Kochi University
| | - Shiro Sasaguri
- Department of Surgery (Surgery 2), Kochi Medical School, Kochi University
| | - Kazumasa Orihashi
- Department of Surgery (Surgery 2), Kochi Medical School, Kochi University
| | - Hiroaki Kitaoka
- Department of Cardiology and Geriatrics, Kochi Medical School, Kochi University
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Platania I, Terranova V, Tomasello SD, Boukhris M, Cilia C, Di Marca S, Pisano M, Mastrosimone G, Cataudella E, Stancanelli B, Malatino L. Mean Transaortic Gradient is an Emerging Predictor of Chronic Kidney Disease in Elderly Patients. Angiology 2016; 68:528-534. [DOI: 10.1177/0003319716672527] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Arterial hypertension (AH) is a major risk factor for chronic kidney disease (CKD). However, whether AH maintains this role in the development of CKD in elderly patients with aortic stenosis (AS) or whether transaortic gradient influences CKD remains unclear. Consecutive hospitalized patients were prospectively recruited to evaluate the relationship between AS and CKD. In all patients, transthoracic 2-dimensional echocardiography was performed to evaluate AS; renal function was evaluated using the Chronic Kidney Disease Epidemiology Collaboration formula. A total of 346 patients were included in the study (mean age: 79.5 ± 7.4 years): 104 had diabetes mellitus (DM), 298 had AH, and 59 (moderate: 52; severe: 7) showed AS. After multivariate analysis, age ( P <.01), DM ( P = .02), and mean transaortic gradient ( P = .03), but not AH, were independent predictors of CKD. Both in the presence (n = 59) or absence (n = 287) of AS, the estimated glomerular filtration rate did not differ in patients with (51 ± 24 mL/min/1.73 m2 and 59 ± 25 mL/min/1.73 m2, respectively) and those without AH (50 ± 21 mL/min/1.73 m2 and 65 ± 24 mL/min/1.73 m2, respectively). In the whole population, for each mm Hg of mean transaortic gradient, the risk of CKD increased by 2.5 times.
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Affiliation(s)
- Ingrid Platania
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Valentina Terranova
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Salvatore Davide Tomasello
- Department of Clinical and Experimental Medicine, Unit of Cardiology, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Marouane Boukhris
- Department of Clinical and Experimental Medicine, Unit of Cardiology, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Chiara Cilia
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Salvatore Di Marca
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Marcella Pisano
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Gianluca Mastrosimone
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Emanuela Cataudella
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Benedetta Stancanelli
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
| | - Lorenzo Malatino
- Department of Clinical and Experimental Medicine, Unit of Internal Medicine, Cannizzaro Hospital, University of Catania, Catania, Italy
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Foroutan F, Guyatt GH, O'Brien K, Bain E, Stein M, Bhagra S, Sit D, Kamran R, Chang Y, Devji T, Mir H, Manja V, Schofield T, Siemieniuk RA, Agoritsas T, Bagur R, Otto CM, Vandvik PO. Prognosis after surgical replacement with a bioprosthetic aortic valve in patients with severe symptomatic aortic stenosis: systematic review of observational studies. BMJ 2016; 354:i5065. [PMID: 27683072 PMCID: PMC5040922 DOI: 10.1136/bmj.i5065] [Citation(s) in RCA: 93] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVE To determine the frequency of survival, stroke, atrial fibrillation, structural valve deterioration, and length of hospital stay after surgical replacement of an aortic valve (SAVR) with a bioprosthetic valve in patients with severe symptomatic aortic stenosis. DESIGN Systematic review and meta-analysis of observational studies. DATA SOURCES Medline, Embase, PubMed (non-Medline records only), Cochrane Database of Systematic Reviews, and Cochrane CENTRAL from 2002 to June 2016. STUDY SELECTION Eligible observational studies followed patients after SAVR with a bioprosthetic valve for at least two years. METHODS Reviewers, independently and in duplicate, evaluated study eligibility, extracted data, and assessed risk of bias for patient important outcomes. We used the GRADE system to quantify absolute effects and quality of evidence. Published survival curves provided data for survival and freedom from structural valve deterioration, and random effect models provided the framework for estimates of pooled incidence rates of stroke, atrial fibrillation, and length of hospital stay. RESULTS In patients undergoing SAVR with a bioprosthetic valve, median survival was 16 years in those aged 65 or less, 12 years in those aged 65 to 75, seven years in those aged 75 to 85, and six years in those aged more than 85. The incidence rate of stroke was 0.25 per 100 patient years (95% confidence interval 0.06 to 0.54) and atrial fibrillation 2.90 per 100 patient years (1.78 to 4.79). Post-SAVR, freedom from structural valve deterioration was 94.0% at 10 years, 81.7% at 15 years, and 52% at 20 years, and mean length of hospital stay was 12 days (95% confidence interval 9 to 15). CONCLUSION Patients with severe symptomatic aortic stenosis undergoing SAVR with a bioprosthetic valve can expect only slightly lower survival than those without aortic stenosis, and a low incidence of stroke and, up to 10 years, of structural valve deterioration. The rate of deterioration increases rapidly after 10 years, and particularly after 15 years.
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Affiliation(s)
- Farid Foroutan
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8 Heart Failure/Transplant Program, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Gordon H Guyatt
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8
| | - Kathleen O'Brien
- Heart Failure/Transplant Program, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Eva Bain
- Heart Failure/Transplant Program, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Madeleine Stein
- Heart Failure/Transplant Program, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Sai Bhagra
- Heart Failure/Transplant Program, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Daegan Sit
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8
| | - Rakhshan Kamran
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8
| | - Yaping Chang
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8
| | - Tahira Devji
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8
| | - Hassan Mir
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8
| | - Veena Manja
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8 Department of Internal Medicine, State University of New York at Buffalo, Buffalo, USA VA WNY Health Care System at Buffalo, Department of Veterans Affairs, USA
| | - Toni Schofield
- Heart Failure/Transplant Program, Toronto General Hospital, University Health Network, Toronto, Ontario, Canada
| | - Reed A Siemieniuk
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8 Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Thomas Agoritsas
- Department of Clinical Epidemiology and Biostatistics, McMaster University, 1280 Main St West, Hamilton, Ontario, Canada L8S 4L8 Division of General Internal Medicine, and Division of Clinical Epidemiology, University Hospitals of Geneva, Geneva, Switzerland
| | - Rodrigo Bagur
- Division of Cardiology, London Health Sciences Centre and Department of Epidemiology and Biostatistics, Western University, London, Ontario, Canada N6A 5W9
| | - Catherine M Otto
- Division of Cardiology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA
| | - Per O Vandvik
- Department of Internal Medicine, Innlandet Hospital Trust-division Gjøvik, Norway Institute of Health and Society, Faculty of Medicine, University of Oslo, Norway
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