Literature DB >> 25629541

How to approach aortic valve disease in the elderly: a 25-year retrospective study.

Ebuzer Aydin1, Ozge Altas Yerlikhan2, Behzat Tuzun2, Yucel Ozen2, Sabit Sarikaya2, Mehmet Kaan Kirali2.   

Abstract

OBJECTIVE: In the last decade, the number of elderly patients suffering from aortic valve disease has significantly increased. This study aimed to identify possible factors that could affect surgical and long-term outcomes in the light of a literature review regarding the management of aortic valve disease in the elderly.
METHODS: Between January 1990 and December 2012, a total of 114 patients (64 males, 50 females; mean age 76.6 ± 3.6 years; range 70-87 years) with aortic valve replacement (AVR) alone, or combined with coronary artery bypass grafting (CABG) or mitral surgery in our hospital, were retrospectively analysed.
RESULTS: In-hospital mortality was seen in 19 patients. The major causes of in-hospital mortality were low-cardiac output syndrome in eight patients (42.1%), respiratory insufficiency or infection in six (31.5%), multi-organ failure in four (21%), and stroke in one patient (5.2%). The main postoperative complications included arrhythmia in 26 patients (22.8%), renal failure in 11 (9.6%), respiratory infection in nine (7.9%), and stroke in three patients (2.6%). The mean length of intensive care unit and hospital stays were 6.4 ± 4.3 and 18 ± 12.8 days, respectively. During follow up, late mortality was seen in 28 patients (29.4%). Possible risk factors for long-term mortality were type of prosthesis, EuroSCORE ≥ 15, postoperative pacemaker implantation, respiratory infection, and haemodialysis. Among 65 long-term survivors, their activity level was good in 53 (81.5%) and poor in two.
CONCLUSIONS: Our study results demonstrated that an individually tailored approach including scheduled surgery increases short- and long-term outcomes of AVR in patients aged ≥ 70 years. In addition, shorter cardiopulmonary bypass time may be more beneficial in this high-risk patient population.

Entities:  

Mesh:

Year:  2014        PMID: 25629541      PMCID: PMC4241594          DOI: 10.5830/CVJA-2014-051

Source DB:  PubMed          Journal:  Cardiovasc J Afr        ISSN: 1015-9657            Impact factor:   1.167


Abstract

The life expectancy of European and American populations has been steadily increasing, now exceeding 80 years of age. Over the past decade in Turkey, a modest increase has been achieved with people now reaching 76 years.1 In response to increased lifespan, aortic valve replacement (AVR) has become widely accepted in elderly patients. Isolated AVR has been associated with an acceptable low surgical mortality rate, with improved long-term survival and quality of life.2 Despite all improvements, concomitant procedures and associated co-morbidities may result in high-risk surgery, which led us to consider a transcatheter approach in these patients. In the last decade, the number of elderly patients aged 80 years or older suffering from aortic valve disease has significantly increased. In this study, we aimed to identify possible factors that may affect surgical and long-term outcomes in the light of a literature review regarding the management of aortic valve disease in the elderly.

Methods

This retrospective study included a total of 114 patients (64 males, 50 females; mean age 76.6 ± 3.6 years; range 70–87 years) with AVR alone, or combined with coronary artery bypass grafting (CABG) or mitral valve surgery, admitted between January 1990 and December 2012. The study was conducted in accordance with the principles of Declaration of Helsinki. The study protocol was approved by the institutional review board (IRB) of Kartal Kosuyolu Training and Research Hospital (IRB no: 538.38792-514.10-9472). Informed consent, which was obtained from the patients, was confirmed by the IRB. Bileaflet prostheses were mostly used, based on our experience with mechanical valve implantation and due to the poor socio-economic status of the country in those years. During 2012, all accessible survivors were questioned to obtain data regarding their health status, the presence of chest pain, functional grades of dyspnoea [New York Heart Association (NYHA) class], and quality of life. In total, 98.9% of the survivors (n = 64) completed follow up through out-patient clinic visits or phone interviews. Adverse events were defined according to the guidelines for reporting morbidity and mortality after cardiac valvular operations.3 Surgical mortality was defined as any death, irrespective of cause, occurring within 30 days of surgery in or out of hospital,4 and long-term mortality was defined as any death occurring 30 days or more after surgery.5 Postoperative disease progression was defined as bleeding, poor cardiac status, renal failure (transient or permanent need of haemodialysis), neurological events, and prolonged duration of ventilatory support/intensive care unit (ICU). Data on the pre-, intra- and postoperative periods were obtained from hospital charts. Of 95 hospital survivors, 47 visited the out-patient clinic on a regular basis.

Pre-operative patient characteristics

The study consisted of 114 patients, including 22 (19.3%) aged ≥ 80 years. The mean age was 76.6 ± 3.6 years (range 70–87). Baseline demographic characteristics and clinical data are presented in Table 1.
Table 1

Baseline demographic characteristics and clinical data

Number%
Median age (years)76.6 ± 3.6(70–87)
Women/men50/6443.8/56.1
Hypertension8877.2
Diabetes2622.8
Chronic pulmonary disease2622.8
Pulmonary hypertension87
Cerebrovascular disease76.1
Peripheral vascular disease10.9
Coronary artery disease2824.5
Chronic renal failure119.6
Dyspnoea7565.8
NYHA
Class II1412.3
Class III8171.1
Class IV1714.9
Angina pectoris5649.1
Previous MI3328.9
EuroSCORE < 159179.8
> 152320.2

NYHA: New York Heart Association; MI: myocardial infarction.

NYHA: New York Heart Association; MI: myocardial infarction. A total of 110 patients (87.7%) had at least one or more extra-cardiac co-morbidity, such as pulmonary disease (n = 26), cerebrovascular accident (n = 7), peripheral artery disease (n = 1), or renal failure (n = 11). Coronary angiography revealed significant lesions in 28 patients (24.5%), including five with left main coronary artery disease (LMCA). Twenty-three patients (20.2%) had logistic EuroSCORE ≥ 15. Ninety-eight patients (86%) had NYHA (LMCA) class III–IV symptoms, whereas 16 patients (14%) had clinical manifestations of congestive heart failure. Seventeen patients (14.9%) had chronic atrial fibrillation, including two with a pacemaker. The common pathology of the valve was aortic stenosis in 97 patients (85.1%), while 22 (19.3%) had concomitant aortic regurgitation. Only 17 patients had uncomplicated pure regurgitation. Transthoracic echocardiography showed that 10.5% of patients (n = 12) had poor left ventricular function, defined as LVEF < 40% (Table 2).
Table 2

Pre-operative measurements

Number%
Pre-operative AF1714.9
Pacemaker21.8
Echocardiography
Aortic stenosis (AS)9785.1
Aortic regurgitation (AR)2219.3
LVEF (mean)56.9 ± 9.3(35–78)
LVEF < 40%1210.5
Aortic area (cm2)0.8 ± 0.3(0.4–1.35)
Max gradient (mmHg)81.2 ± 25(0–160)
Mean gradient (mmHg)50.3 ± 16.4(0–110)

AF: atrial fibrillation; LVEF: left ventricular ejection fraction.

AF: atrial fibrillation; LVEF: left ventricular ejection fraction.

Surgical data

A median sternotomy was performed in all patients. Cardiopulmonary bypass (CPB) equipment was uniform: systemic moderate hypothermia was employed along with antegrade ± retrograde isothermic blood perfusion in case of aortic valve regurgitation. Three patients (2.6%) had a history of previous CABG surgery. A mechanical valve was implanted in all but 22 patients (19.2%) received bioprosthetic valves. The proportion of bioprothetic valve replacement was higher in patients aged ≥ 80 years (27.2 vs 17.3%). We mostly used bileaflet prostheses based on our experience with mechanical valve implantation and due to the poor socio-economic status of the country in those years. Isolated aortic valve replacement was performed in 61 patients (53.5%), whereas 29 underwent concomitant CABG surgery, 12 received mitral valve surgery, and 13 patients received interpositional graft replacement of the ascending aorta, including a flanged Bentall de Bono procedure due to type I dissection in one patient. The mean CPB time was 139.9 ± 73.7 min, while the mean aortic cross-clamp time was 96 ± 41.5 min (Table 3).
Table 3

Intra-operative data

Number%
Re-operation65.2
Isolated AVR6153.5
AVR+ concomitant surgery
CABG2925.4
Mitral valve surgery1210.5
CABG + MVR10.8
Tubular graft interposition1311.4
Valve size (mm)2.89
Aortic cross clamping time (min)96 ± 41.5(26–240)
Cardiopulmonary bypass time (min)139.9 ± 73.7(46–480)
Postoperative inotropic support6052.6
IABP support1210.5

AVR: aortic valve replacement; CABG: coronary artery bypass grafting; MVR: mitral valve replacement; IABP: intra-aortic balloon pump.

AVR: aortic valve replacement; CABG: coronary artery bypass grafting; MVR: mitral valve replacement; IABP: intra-aortic balloon pump. Sixty patients (52.6%) required inotropic support for haemodynamic recovery, either in the operating room or during the postoperative period. Twelve received intra-aortic balloon pump (IABP) support. The chi-square test showed a significant correlation between the logistic EuroSCORE and inotropic support. In addition, 19 patients (82.6%) with EuroSCORE ≥ 15 needed pharmacological support (p = 0.001). Patients with LMCA stenosis (p = 0.008), NYHA ≥ 3 (p = 0.033) and EuroSCORE ≥ 15 (p = 0.002) were found to be correlated for the use of IABP. International normalised ratio (INR) levels were measured daily and postoperative anticoagulant therapy was administered with oral sodium warfarin in all patients. Three-month therapy following bioprosthetic valve replacement was prescribed.

Statistical analysis

Statistical analysis was performed using the SPSS software v12.0 (SPSS Inc, Chicago, IL, USA). Continuous variables are expressed as mean ± standard deviation or percentages. The Student’s t-test and Mann–Whitney U-test were used to compare differences among the variables. One-way analysis of covariance (ANOVA) and the Tukey post hoc analysis were used to compare three or more normally distributed samples. In the case of abnormally distributed data, the Kruskal–Wallis test was used for more than three samples, whereas the Mann–Whitney U-test was used to compare two samples based on the adjusted Bonferroni correction. The cross tabulation table was used to compare categorical variables (chi-square, Fisher, Mantel–Haenszel test). All variables were initially tested individually by univariate analysis. Then, variables with a p-value of ≤ 0.25 in univarate analysis were applied into the logistic regression model to identify independent predictors for mortality. Late survival rates were calculated using the Kaplan–Meier method and statistical significance was calculated with the log-rank test. A p-value of < 0.05 was considered statistically significant.

Results

The mean follow up was 48.7 ± 50.8 months (range 0–240). Early postoperative complications are listed in Table 4. Arrhythmias occurred in 26 patients (22.8%), of whom 13 had atrial fibrillation. All received medical therapy. The other 13 (11.4%) needed permanent pacemaker implantation. Despite optimal selection of the prosthesis to minimise the incidence of pacemaker implantation, we found no correlation among peri-operative risk factors, including prosthesis type (p = 0.457). However, pre-operative values of NYHA (p < 0.001) and logistic EuroSCORE (p = 0.023) were found to be significantly correlated with peri-operative risk factors.
Table 4

Postoperative complications

VariableNumber%
Arrhythmia2622.8
Pacemaker implantation1311.4
Prolonged mechanical ventilation3026.3
Bleeding total (ml)641 ± 480.56
Re-operation
Bleeding32.6
Tamponade32.6
Cerebrovascular accident32.6
Renal failure117.9
Haemodialysis (permanent)43.5
Pulmonary failure97.9
Renal failure was present in 11 patients (9.6%), of whom seven patients needed transient haemodialysis after surgery. Four (3.5%) required long-term haemodialysis. Among 30 patients (26.3%) requiring prolonged mechanical ventilation (> 24 hours), nine (7.9%) had respiratory infection. There was a significant correlation between LMCA stenosis and infection (p = 0.049). Three patients (2.6%) developed cerebrovascular accident and two recovered fully before hospital discharge. Six patients needed re-operation, of whom three were operated on due to excessive bleeding. The rest were operated on for cardiac tamponade. The mean length of ICU and hospital stay was 6.4 ± 4.3 and 18 ± 12.8 days, respectively. In-hospital mortality was seen in 19 patients (16.7%). The mortality rate was 8.7% in 10 patients who underwent isolated AVR. The mean time to death after surgery was 17 ± 15.61 days (range 0–48 days). The major causes of in-hospital mortality were low-cardiac output syndrome in eight patients (42.1%), respiratory insufficiency or infection in six (31.5%), multi-organ failure in four (21%), and stroke in one patient (5.2%). Univariate analysis revealed the following variables to be associated with operative mortality: LMCA stenosis (p = 0.032), NYHA ≥ III (p = 0.002) and EuroSCORE ≥ 15 (p < 0.001). During the follow-up period, 28 late deaths (29.4%) occurred. A total of 98.9% completed the follow-up period. Based on the univariate analysis, possible risk factors for long-term mortality were type of prosthesis (p = 0.037), EuroSCORE ≥ 15 (p = 0.013), postoperative pacemaker implantation (p = 0.008), respiratory infection (p = 0.004), and haemodialysis (p = 0.004). Mortality rate was higher in the mechanical valve group. Multivariate analysis identified the following variables as independent predictors of mortality: cross-clamp time (p = 0.043) and CPB time (p = 0.033). Furthermore, although cerebrovascular accidents, either from intracranial haemorrhage or ischaemic stroke, were the leading cause of death (n = 8). Respiratory failure (n = 7) and cardiovascular disease (n = 6) accounted for 46.4% of the late mortalities. Three patients died from renal insufficiency, while one had a neoplasm, one had mesenteric ischaemia, and two patients suffered from sudden death. One, three, five, 10 and 15-year survival rates were 76.2 ± 4.12, 69.03 ± 4.44, 61.40 ± 5.13, 43.48 ± 7.42 and 24.15 ± 9.65%, respectively (Fig. 1). Patients with combined surgery showed lower survival rates (log-rank, p = 0.0498) (Fig. 2).
Fig. 1.

Probability of survival.

Fig. 2.

Survival rates in the combined surgery group.

Probability of survival. Survival rates in the combined surgery group. During follow up, late complications were intracranial haemorrhage in one patient, stroke in one patient and re-operation for vegetations and paravalvular leakage in two patients (at 10 years and one year after the initial surgery, respectively). The patients were questioned on symptom relief and an active lifestyle. Among 65 long-term survivors, activity level was good in 53 (81.5%) and poor in two (3.1%). The patients reported improved quality of life compared to their pre-operative status. We were unable to reach 10 patients to determine their activity levels.

Discussion

Since 1970, men and women worldwide have gained slightly more than 10 years of life expectancy overall, but they spend more years living with injury and illness. Non-communicable diseases, such as cancer and heart disease, have become the dominant causes of death and disability worldwide.6 With the introduction of improved surgical techniques and prolonged life expectancy, an increasing number of elderly people are considered candidates for valve surgery. According to the Euro Heart Survey, intervention was rejected in up to 33% of patients, despite their severe symptomatic aortic stenosis (AS) status.7 However, the natural prognosis of severe AS is associated with a life expectancy of less than five years.8,9 In our study, we found that mortality rates in elderly patients (≥ 70 years) who underwent timely aortic valve operations were very low. This encourages us to refer especially the elderly with aortic stenosis for surgery. Several studies have showed that valve replacement can be performed with an acceptable mortality rate and high long-term survival rate.10-12 Kohl et al.13 reported their operative mortality rate to be 13%, which was increased to 24% with combined surgery.13 In our study, in-hospital mortality was 8.7% in patients with isolated AVR and 16.7% in patients with combined surgery. In addition, early reports in the elderly have shown mortality rates of 2–10% for isolated AVR.14,15 Concomitant CABG was also identified as an independent predictor in a clinical series.16 However, in a study including 450 patients aged ≥ 80 years, Unic et al.17 showed that concomitant CABG did not affect the late survival rate. In our study, we did not find any correlation between combined surgery and mortality rate. Even though LMCA stenosis, NYHA ≥ III and EuroSCORE ≥ 15 were associated with early mortality in the univariate analysis, multivariate logistic regression analysis revealed that the only risk factor associated with surgical mortality was CBP time, as anticipated. In other words, simple operations with shorter CPB times may be more beneficial than better complex operations with longer CPB times in high-risk patients. In addition, our study findings confirmed that patients undergoing combined surgery with concomitant CABG showed lower long-term survival rates compared to surgical mortality rates, from 16.7% post operatively to 13.3% long-term survival. This is noticeably lower than the 24% early mortality that was reported by Kolh et al.18 Kurlansky et al.16 also identified concomitant CABG as a predictor of mortality; however, they showed the improvement in quality of life in the long term. In our study, mitral valve surgery was associated with an increased mortality rate (30.1%). This was consistent with a number of previous studies.15,19 It has been reported that AVR can be performed in elderly patients with an acceptable mortality rate, high long-term survival rate and functional improvement.14,20 One-, three- and five-year survival rates were 76.2 ± 4.12, 69.03 ± 4.44 and 61.40 ± 5.13%, respectively. However, these rates need to be confirmed.13,14 The low survival rates in our study can be attributed to multiple factors, including that 87.7% of patients had extracardiac co-morbidities; 10.5% had poor ejection fraction, and 86% were in NYHA class ≥ III. Postoperative pacemaker, respiratory infection and haemodialysis were predictors for late mortality, while aortic cross-clamp time and CPB time were found with multivariate analysis to be independent predictors of mortality. These results suggest that combined surgery entails prolonged ischaemic time, leading us to tailor an appropriate surgical strategy for each patient. The use of bioprosthetic valves, which allow for implantation of larger prostheses, was lower than in previous studies. The early experiences of Peterseim et al.21 reported that bioprostheses should be considered in patients with a number of co-morbidities or aged ≥ 65 years. In a retrospective study, however, Silberman et al.22 reported that the selection of valve replacement device should be based on life expectancy, patient preference, lifestyle and surgery-related complications. The limitations of the present study include missing information due to limited data collection, as it was a retrospective study, and missed regular out-patient visits. Although 98.9% of patients completed the follow-up period, less attention was paid to the quality of life. Among long-term survivers, only two patients had poor activity levels. However, the Short form 36 health survey should be completed for further investigation of long-term quality of life.

Conclusion

It is obvious that we need more surgical experience on elderly patients. Our study results demonstrate that an individually tailored approach including scheduled surgery increased short-and long-term outcomes of AVR in patients aged ≥ 70 years. In addition, shorter cardiopulmonary bypass time may be more beneficial in this high-risk patient population. Although several issues should be considered for elderly patients undergoing cardiac surgery, including socio-economic factors, the possible benefits of surgery should not be ignored in patients with aortic valve disease who are eligible for surgery. In addition, in the presence of combined cardiac procedures, a hybrid approach or transcatheter aortic valve implantation with isolated conventional AVR may be an alternative in high-risk patients.
  19 in total

Review 1.  Clinical practice. Aortic stenosis.

Authors:  Blase A Carabello
Journal:  N Engl J Med       Date:  2002-02-28       Impact factor: 91.245

2.  Natural history of valvular aortic stenosis.

Authors:  S Frank; A Johnson; J Ross
Journal:  Br Heart J       Date:  1973-01

3.  Effect of definition of mortality on hospital profiles.

Authors:  Michael L Johnson; Howard S Gordon; Nancy J Petersen; Nelda P Wray; A Laurie Shroyer; Frederick L Grover; Jane M Geraci
Journal:  Med Care       Date:  2002-01       Impact factor: 2.983

4.  Quality of life after aortic valve replacement at the age of >80 years.

Authors:  T M Sundt; M S Bailey; M R Moon; E N Mendeloff; C B Huddleston; M K Pasque; H B Barner; W A Gay
Journal:  Circulation       Date:  2000-11-07       Impact factor: 29.690

5.  The influence of coronary artery disease on quality of life after mechanical valve replacement.

Authors:  Paul A Kurlansky; Donald B Williams; Ernest A Traad; Roger G Carrillo; John S Schor; Melinda Zucker; George Ebra
Journal:  J Heart Valve Dis       Date:  2004-03

6.  Cardiac surgery in patients age 80 years or older.

Authors:  W H Merrill; J R Stewart; W H Frist; J W Hammon; H W Bender
Journal:  Ann Surg       Date:  1990-06       Impact factor: 12.969

Review 7.  Outcome after aortic valve replacement in octogenarians.

Authors:  Bruno Chiappini; Nicola Camurri; Antonio Loforte; Luca Di Marco; Roberto Di Bartolomeo; Giuseppe Marinelli
Journal:  Ann Thorac Surg       Date:  2004-07       Impact factor: 4.330

8.  Cardiac surgery in the octogenarian.

Authors:  T P Tsai; J M Matloff; R J Gray; A Chaux; R M Kass; M E Lee; L S Czer
Journal:  J Thorac Cardiovasc Surg       Date:  1986-06       Impact factor: 5.209

9.  Age does not limit quality of life improvement in cardiac valve surgery.

Authors:  Artyom Sedrakyan; Viola Vaccarino; A David Paltiel; John A Elefteriades; Jennifer A Mattera; Sarah A Roumanis; Zhenqiu Lin; Harlan M Krumholz
Journal:  J Am Coll Cardiol       Date:  2003-10-01       Impact factor: 24.094

10.  Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Rafael Lozano; Mohsen Naghavi; Kyle Foreman; Stephen Lim; Kenji Shibuya; Victor Aboyans; Jerry Abraham; Timothy Adair; Rakesh Aggarwal; Stephanie Y Ahn; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Suzanne Barker-Collo; David H Bartels; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Kavi Bhalla; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; Fiona Blyth; Ian Bolliger; Soufiane Boufous; Chiara Bucello; Michael Burch; Peter Burney; Jonathan Carapetis; Honglei Chen; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Nabila Dahodwala; Diego De Leo; Louisa Degenhardt; Allyne Delossantos; Julie Denenberg; Don C Des Jarlais; Samath D Dharmaratne; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Patricia J Erwin; Patricia Espindola; Majid Ezzati; Valery Feigin; Abraham D Flaxman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Sherine E Gabriel; Emmanuela Gakidou; Flavio Gaspari; Richard F Gillum; Diego Gonzalez-Medina; Yara A Halasa; Diana Haring; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Bruno Hoen; Peter J Hotez; Damian Hoy; Kathryn H Jacobsen; Spencer L James; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Ganesan Karthikeyan; Nicholas Kassebaum; Andre Keren; Jon-Paul Khoo; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Michael Lipnick; Steven E Lipshultz; Summer Lockett Ohno; Jacqueline Mabweijano; Michael F MacIntyre; Leslie Mallinger; Lyn March; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; John McGrath; George A Mensah; Tony R Merriman; Catherine Michaud; Matthew Miller; Ted R Miller; Charles Mock; Ana Olga Mocumbi; Ali A Mokdad; Andrew Moran; Kim Mulholland; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Kiumarss Nasseri; Paul Norman; Martin O'Donnell; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; David Phillips; Kelsey Pierce; C Arden Pope; Esteban Porrini; Farshad Pourmalek; Murugesan Raju; Dharani Ranganathan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Frederick P Rivara; Thomas Roberts; Felipe Rodriguez De León; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Joshua A Salomon; Uchechukwu Sampson; Ella Sanman; David C Schwebel; Maria Segui-Gomez; Donald S Shepard; David Singh; Jessica Singleton; Karen Sliwa; Emma Smith; Andrew Steer; Jennifer A Taylor; Bernadette Thomas; Imad M Tleyjeh; Jeffrey A Towbin; Thomas Truelsen; Eduardo A Undurraga; N Venketasubramanian; Lakshmi Vijayakumar; Theo Vos; Gregory R Wagner; Mengru Wang; Wenzhi Wang; Kerrianne Watt; Martin A Weinstock; Robert Weintraub; James D Wilkinson; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Paul Yip; Azadeh Zabetian; Zhi-Jie Zheng; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

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  1 in total

1.  Prognosis after surgical replacement with a bioprosthetic aortic valve in patients with severe symptomatic aortic stenosis: systematic review of observational studies.

Authors:  Farid Foroutan; Gordon H Guyatt; Kathleen O'Brien; Eva Bain; Madeleine Stein; Sai Bhagra; Daegan Sit; Rakhshan Kamran; Yaping Chang; Tahira Devji; Hassan Mir; Veena Manja; Toni Schofield; Reed A Siemieniuk; Thomas Agoritsas; Rodrigo Bagur; Catherine M Otto; Per O Vandvik
Journal:  BMJ       Date:  2016-09-28
  1 in total

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