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Dive into the research topics where Guy Fradet is active.

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Featured researches published by Guy Fradet.


The Lancet | 1999

Treatment of post-transplant lymphoproliferative disease with rituximab monoclonal antibody after lung transplantation

Richard C. Cook; Joseph M. Connors; Randy D. Gascoyne; Guy Fradet; Robert D. Levy

Three patients with diffuse large B-cell type of post-transplant lymphoproliferative disease after lung transplantation were treated with rituximab, an anti-CD20 monoclonal antibody. Treatment resulted in two complete remissions and one non-response.


The Journal of Thoracic and Cardiovascular Surgery | 2009

Patient outcome after aortic valve replacement with a mechanical or biological prosthesis: Weighing lifetime anticoagulant-related event risk against reoperation risk

Martijn W.A. van Geldorp; W.R. Eric Jamieson; A. Pieter Kappetein; Jian Ye; Guy Fradet; Marinus J.C. Eijkemans; Gary L. Grunkemeier; Ad J.J.C. Bogers; Johanna J.M. Takkenberg

OBJECTIVE Although the results of aortic valve replacement with different valve prostheses are well documented in terms of survival, the risks of (valve-related) events are less well explored. METHODS We used a dataset of 3934 patients who underwent aortic valve replacement with either a bioprosthesis (73%) or a mechanical prosthesis (27%) between 1982 and 2003 to simulate the outcome of patients after aortic valve replacement with either valve type. With the use of microsimulation, we compared total age and gender-specific life expectancy, event-free life expectancy, reoperation-free life expectancy, lifetime risks of reoperation, and valve-related events for both valve types. RESULTS The total follow-up was 26,467 patient-years. The mean follow-up was 6.1 years in the biological arm and 8.5 years in the mechanical arm. The mean age at implantation was 70 and 58 years for biological and mechanical prostheses, respectively, and the percentage of concomitant coronary artery bypass grafting was 47% and 28%, respectively. For a 60-year-old man, simulated life expectancy in years for biological versus mechanical prostheses was 11.9 versus 12.2, event-free life expectancy was 9.8 versus 9.3, and reoperation-free life expectancy was 10.5 versus 11.9. Lifetime risk of reoperation was 25% versus 3%. Lifetime risk of bleeding was 12% versus 41%. CONCLUSION Even for patients aged 60 years, event-free life expectancy is better with a bioprosthesis. Although the chance of reoperation is higher, the lifetime risk of bleeding is lower compared with a mechanical prosthesis. Comparing lifetime event risks between different types of valve prostheses provides more insight into patient outcome after aortic valve replacement and aids patient selection and counseling.


Circulation | 2003

Outcome of Mitral Valve Repair or Replacement: A Comparison by Propensity Score Analysis

Robert Moss; Karin H. Humphries; Min Gao; Christopher R. Thompson; James G Abel; Guy Fradet; Brad Munt

Background—There are no randomized trials comparing outcomes after mitral valve (MV) repair and replacement. Propensity scoring is a powerful tool that has the potential to reduce selection bias in nonrandomized studies. Methods—From the BC Cardiac Registries, 2 060 patients presented for MV surgery, with or without CABG between 1991 and 2000. We then identified 322 MV repairs who were then matched by propensity score to an equal number of MV replacement patients. We compared survival and freedom from re-operation outcomes using Cox proportional hazards model analysis. Multivariable analysis was then used to compare outcomes in 358 MV repair patients with 352 MV replacement patients who had undergone chordal sparing surgery. Results—The comparison groups generated using propensity scores were well balanced with respect to all collected baseline risk factors. Median follow-up time was 3.4 years. Patients undergoing MV repair had significantly improved survival (RR 0.46; 95% CI, 0.28 to 0.75) but a trend toward more re-operations (RR 2.11; 95% CI, 1.00 to 4.47) compared with patients undergoing replacement. Mitral valve repair patients still had better survival (RR 0.52; 95% CI, 0.32 to 0.85) compared with MV replacement patients who had undergone chordal sparing surgery. Conclusion—We used propensity score methods to reduce selection bias in a population-based cohort of patients undergoing MV repair/replacement. Repair was associated with better survival, but a trend to increased re-operation.


The Annals of Thoracic Surgery | 2009

Effect of Prosthesis-Patient Mismatch on Long-Term Survival With Aortic Valve Replacement: Assessment to 15 Years

W.R. Eric Jamieson; Jian Ye; Jennifer Higgins; Anson Cheung; Guy Fradet; Peter Skarsgard; Eva Germann; Florence Chan; Samuel V. Lichtenstein

BACKGROUND The effect of prosthesis-patient mismatch on long-term survival after aortic valve replacement has received considerable attention but there remains controversy. This study was performed to determine the predictors of mortality after aortic valve replacement and influence of prosthesis-patient mismatch on survival. METHODS Contemporary mechanical prostheses and bioprostheses were implanted in 3,343 patients with aortic valve replacement between 1982 and 2003. The mean age was 68.06 +/- 11.20 years (median 70.06; range, 19 to 94), and the mean follow-up was 6.18 +/- 4.96 years, for a total of 20,666 years of follow-up. Prosthesis-patient mismatch was classified by effective orifice area index categories: normal (> 0.85 cm(2)/m(2)), 1,547 (46.3%); mild-to-moderate (> 0.65 cm(2)/m(2) to < or = 0.85 cm(2)/m(2)), 1,584 (47.4%); and severe (< 0.65 cm(2)/m(2)), 212 (6.3%). RESULTS The predictors of overall mortality were age, age categorization, New York Heart Association functional class III/IV, concomitant coronary artery bypass graft surgery, prosthesis type, preoperative congestive heart failure, diabetes mellitus, renal failure, and chronic obstructive pulmonary disease. All categories of effective orifice area indexes were not predictive of overall mortality, late mortality, or early mortality. The 15-year overall survival was differentiated by effective orifice area index categories: 38.1% +/- 2.1%, 37.0% +/- 2.2%, and 22.1% +/- 6.5%, respectively, for the three categories. Survival adjusted for the covariates (effective orifice area index, age, basal mass index, and ejection fraction) determined no effect except severe effective orifice area index when adjusted for ejection fraction more than 50% (p = 0.049). CONCLUSIONS Prosthesis-patient mismatch is not a predictor of overall standard unadjusted mortality to 15 years after aortic valve replacement, regardless of the category of effective orifice area index.


The Journal of Thoracic and Cardiovascular Surgery | 2005

Performance of bioprostheses and mechanical prostheses assessed by composites of valve-related complications to 15 years after aortic valve replacement

V. Chan; William Robert Eric Jamieson; Eva Germann; Florence Chan; Robert T. Miyagishima; Lawrence H. Burr; Michael T. Janusz; Hilton Ling; Guy Fradet

OBJECTIVE Predominant concerns of patients undergoing valve replacement surgery are risks of death, stroke, antithrombotic bleeding, and reoperation related to the replacement prosthesis. The purpose of this study was to compare valve-related reoperation, morbidity (permanent impairment), and mortality between bioprostheses and mechanical prostheses for mitral valve replacement. METHODS Between 1982 and 1998, a total of 959 bioprostheses were implanted in 943 patients, and a total of 961 mechanical prostheses were implanted in 839 patients. Total follow-ups were 5730 years for bioprostheses and 5271 years for mechanical prostheses. Eight variables were considered as predictors of risk for the composites of valve-related complications. RESULTS The linearized occurrence rates for valve-related reoperation were 3.7 events/100 patient-years for bioprostheses and 0.5 events/100 patient-years for mechanical prostheses ( P < .001), with all age groups differentiated except older than 70 years. Valve-related morbidity was undifferentiated for bioprostheses and mechanical prostheses. Valve-related mortalities were 1.7 events/100 patient-years for bioprostheses and 0.7 events/100 patient-years for mechanical prostheses ( P < .001). Predictors of valve-related reoperation were age and valve type. The only predictor of valve-related morbidity was age, whereas age and valve type were predictors for valve-related mortality. Actual freedom from valve-related reoperation favored mechanical prostheses in all age groups except older than 70 years (91.7% +/- 2.0% for bioprostheses at 15 years and 96.7% +/- 1.5% at 12 years for mechanical prostheses). Actual freedom from valve-related morbidity was not different between bioprostheses and mechanical prostheses. Actual freedom from valve-related mortality favored mechanical prostheses in all groups except older than 70 years. CONCLUSION Comparative evaluation gives high priority in mitral valve replacement for mechanical prostheses relative to bioprostheses for freedom from valve-related reoperation and valve-related mortality but not valve-related morbidity. Freedom from valve-related reoperation and valve-related mortality favors mechanical prostheses for all age groups except older than 70 years. Valve-related morbidity, due to neurologic or functional impairments, does not differentiate between bioprostheses and mechanical prostheses.


Circulation | 2003

Reoperation for Bioprosthetic Mitral Structural Failure: Risk Assessment

W.R.E. Jamieson; Lawrence H. Burr; Robert T. Miyagishima; M.T. Janusz; Guy Fradet; Samuel V. Lichtenstein; Hilton Ling

Background—The predominant complication of bioprostheses is structural valve deterioration and the consequences of reoperation. The purpose of the study was to determine the mortality and risk assessment of that mortality for mitral bioprosthetic failure. Methods and Results—From 1975 to 1999, 1 973 patients received a heterograft bioprosthesis in 2 152 operations. The procedures were performed with concomitant coronary artery bypass (CAB) in 694 operations and without in 1 458 operations. There were 481 reoperations for structural valve deterioration performed in 463 patients with 34 fatalities (7.1%). Of the 481 re-replacements, 67 had CAB and 414 had isolated replacement; the mortality was 11.9% (8) and 6.3% (26), respectively. Eleven predictive factors inclusive of age, concomitant CAB, urgency status, New York Heart Association (NYHA; reoperation), and year of reoperation (year periods) were considered. The mortality from 1975 to 1986 was 9.8% (6/61), from 1987 to 1992 it was 10.8% (20/185), and from 1993 to 2000 it was 3.4% (8/235) (I versus III P =0.0458, II versus III P =0.0047). The mortality by urgency status was elective/urgent 6.0% (26/436) and emergent 17.8% (8/45) (P =0.00879). The mortality was NYHA I/II 0.00% (0/37), III 5.1% (14/273), and IV 11.7% (20/171) (P =0.0069). The predictive risk factors by multivariate regression analysis were age at implant, odds ratio (OR) 0.84 (P =0.0113); age at explant, OR 1.2 (P =0.0089); urgency, OR 2.8 (P =0.0264); NYHA, OR 2.5 (P =0.015); 1975–1986 versus 1993–2000 of reoperations, OR 5.8 (P =0.0062); and 1987–19 92 versus 1993–2000, OR 4.0 (P =0.0023). For the period 1993 to 2000 of reoperations, only age at implant and age at explant were significant; NYHA class, urgency status, and concomitant CAB were not significant. Conclusion—Bioprosthetic mitral reoperative mortality can be lowered by reoperations on an elective/urgent basis in low to medium NYHA functional class. The routine evaluation of patients can achieve earlier low risk reoperative surgery.


Canadian Respiratory Journal | 2005

Interpretation of Transbronchial Lung Biopsies from Lung Transplant Recipients:Inter- and Intraobserver Agreement

Anne Stephenson; Julia Flint; John C. English; Sverre Vedal; Guy Fradet; Dean R. Chittock; Robert D. Levy

BACKGROUND Transbronchial lung biopsy results are crucial for the management of lung transplant recipients. Little information is available regarding the reliability and reproducibility of the interpretation of transbronchial lung biopsies. OBJECTIVE To examine the inter-reader variability between two lung pathologists with expertise in lung transplantation. METHODS Fifty-nine transbronchial lung biopsy specimens were randomly selected. Active infection had been excluded in all cases. The original interpretations (as per the Lung Rejection Study Group) for acute rejection grade included 19 biopsies scored as A0 (none), 14 scored as A1 (minimal), 12 as A2 (mild), 11 as A3 (moderate) and three as A4 (severe). The pathologists worked independently without clinical information or knowledge of the original interpretation. The specimens were graded using the Lung Rejection Study Group criteria for acute rejection (grades A0 to A4), airway inflammation (grades B0 to B4) and bronchiolitis obliterans (C0 absent and C1 present). Between-reader agreement for each category was analyzed using a Kappa statistic. RESULTS Because many transplant specialists initiate augmented immunosuppression with biopsy grades of A2 or higher, results for each reader were dichotomized as A0/A1 versus A2/A3/A4. Using this dichotomy, there was only moderate agreement (kappa 0.470, P < 0.001) between readers. For categories B and C, the results were dichotomized for the absence or presence of airway inflammation and bronchiolitis obliterans, respectively. The level of agreement between readers was fair for category B (kappa 0.333, P = 0.014) and poor for category C (kappa 0.166, P = 0.108). The intrareader agreement for acute rejection was substantial (kappa 0.795, P = 0.0001; kappa 0.676, P = 0.0001). CONCLUSIONS Because the agreement between expert pathologists is only modest, optimum clinical decision-making requires that transbronchial lung biopsy results be used in an integrated clinical context.


Transplantation | 2001

Impaired exercise performance after successful liver transplantation.

Anne Stephenson; Eric M. Yoshida; Raja T. Abboud; Guy Fradet; Robert D. Levy

BACKGROUND Recipients of heart, lung, and kidney transplants have impaired peak exercise performance (peak Vo2 40% to 60% predicted, reduced anaerobic threshold [AT]) without evidence of ventilatory or cardiac limitations. The aim of this study was to determine whether similar exercise impairment occurs in liver transplant recipients. METHODS We studied eight healthy liver transplant recipients (age 42+/-9 [SD] years, 6 male, 31+/-13 months posttransplant). Immunosuppression included FK506 or cyclosporine, azathioprine or mycophenolate mofetil, and prednisone. Subjects underwent lung function testing and cardiopulmonary exercise testing on a cycle ergometer. RESULTS Peak exercise oxygen consumption (Vo2) was 22+/-8 ml/min/kg (66+/-20% predicted maximum). No subject demonstrated exercise desaturation or ventilatory limitation (peak minute ventilation 55+/-8% predicted maximum voluntary ventilation). Peak heart rate was 87+/-8% of predicted maximum. Early AT was evident (1.2+/-0.34 L/min, 48+/-11% predicted Vo2max). CONCLUSIONS Liver transplant recipients exhibit impaired peak exercise performance similar to that observed after other solid organ transplants, possibly as a result of chronic deconditioning or myopathy related to immunosuppressive medications.


The Annals of Thoracic Surgery | 1998

Carpentier-Edwards supraannular porcine bioprosthesis evaluation over 15 years

W.R. Eric Jamieson; Hilton Ling; Lawrence H. Burr; Guy Fradet; Robert T. Miyagishima; Michael T. Janusz; Samuel V. Lichtenstein

BACKGROUND The Carpentier-Edwards supraannular porcine bioprosthesis experience during 15 years has been evaluated to determine the incidence of structural valve deterioration by valve position in various age groupings. METHODS From 1981 to 1995, 2,943 patients older than 20 years had the prosthesis implanted in 3,024 procedures. The mean age of the population was 65.5+/-11.9 years (range, 21 to 89 years). Aortic valve replacement was performed in 1,657 patients (54.8%); mitral valve replacement, 1,092 (36.1%); multiple valve replacement, 253 (8.3%); pulmonary valve replacement, 2 (0.1%); and tricuspid valve replacement, 20 (0.7%). Concomitant procedures were performed in 1,332 patients (45.3%), and 352 (12.0%) had previous procedures. RESULTS The early mortality was 8.9% (270), only 0.4% (11) valve-related. The total follow-up was 17,471 years (mean, 5.9+/-4.1 years). The late mortality was 5.2%/ patient-year (901) with the valve-related component 1.0%/patient-year (171). The reoperation rate was 2.1%/ patient-year (369) with 4.3% mortality (16). The linearized rate of structural valve deterioration was 2.0%/patient-year (341), and overall complications, 5.9%/patient-year (1,019). The overall survival, at 15 years, was 31.1%+/2.8% (p < 0.05; aortic valve replacement greater than mitral valve replacement or multiple valve replacement). The freedom from structural valve deterioration for aortic valve replacement was, at 12 years, for patients older than 70 years, 95.3%+/-2.7%; 61 to 70 years, 92.9%+/-2.1%; 51 to 60 years, 70.1%+/-5.3%; 41 to 50 years, 60.0%+/-8.8%; and 21 to 40 years, 75.7%+/-7.3%. The freedom from structural valve deterioration for mitral valve replacement was, at 12 years, for patients older than 70 years, 66.1%+/-9.7%; 61 to 70 years, 53.1%+/-4.7%; 51 to 60 years, 52.6%+/-5.5%; 41 to 50 years, 39.3%+/-6.9%; and 21 to 40 years, 42.1%+/-9.4%. CONCLUSIONS The prosthesis is recommended for aortic valve replacement for patients older than 70 years and for patients 61 to 70 years (when extended longevity is not anticipated) and for mitral valve replacement for patients older than 70 years (when extended longevity is not anticipated).


Therapeutic Drug Monitoring | 2002

Pharmacokinetics and protein binding of mycophenolic acid in stable lung transplant recipients.

Mary H. H. Ensom; Nilufar Partovi; Diane Decarie; Randall J. Dumont; Guy Fradet; Robert D. Levy

Mycophenolate mofetil (MMF) use is increasing in solid organ transplantation. Mycophenolic acid (MPA), the active metabolite of MMF, is highly protein bound and only free MPA is pharmacologically active. The average MPA free fraction in healthy adult individuals, stable renal transplant recipients, and heart transplant recipients is approximately 2 to 3%. However, no data are currently available on MPA protein binding in stable lung transplant recipients and little is known regarding MPAs pharmacokinetic characteristics after lung transplantation. The purpose of this study was to characterize the pharmacokinetic profile and protein binding of MPA in this patient population. Seven patients were entered into the study. On administration of a steady-state morning MMF dose, blood samples were collected at 0, 1, 2, 3, 4, 5, 6, 8, 9, 10, and 12 hours post-dose. Total MPA concentrations were measured by a validated HPLC method with UV detection and followed by ultrafiltration of pooled samples for free MPA concentrations. Area under the curve (AUC), peak concentration (Cmax), time to peak concentration (Tmax), trough concentration (Cmin), free fraction (f), and free MPA AUC were calculated by traditional pharmacokinetic methods. Patient characteristics included; 3 males and 4 females, an average of 4.4 years post-lung transplant (range, 0.3–11.5 yr), mean (± SD) age of 50 ± 10 years and weight 69 ± 20 kg. Mean albumin concentration was 37 ± 3 g/L and serum creatinine was 142 ± 49 &mgr;mol/L. All patients were on cyclosporine and prednisone. MMF dosage ranged from 1 to 3 g daily (35.5 ± 14.1 mg/kg/d; range, 15.2–60.0 mg/kg/d). Mean (± SD) AUC was 45.78 ± 18.35 &mgr;g · h/mL (range, 16.56–74.22 &mgr;g · h/mL), Cmax was 17.37 ± 7.69 &mgr;g/mL (range, 4.92–26.63 &mgr;g/mL), Tmax was 1.2 ± 0.4 hours (range, 1.0–2.0 h), Cmin was 3.12 ± 1.41 &mgr;g/mL (range, 1.47–4.82 &mgr;g/mL), f was 2.90 ± 0.56% (range, 2.00–3.40%), and free MPA AUC was 1.29 ± 0.50 &mgr;g · h/mL (range, 0.54–1.88 &mgr;g · h/mL). This is the first study to determine these pharmacokinetic characteristics of MPA in the lung transplant population. Further studies should focus on identification of MMF dosing strategies that optimize immunosuppressive efficacy and minimize toxicity in lung allograft recipients.

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W.R. Eric Jamieson

University of British Columbia

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Michael T. Janusz

University of British Columbia

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Robert T. Miyagishima

University of British Columbia

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Hilton Ling

University of British Columbia

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Lawrence H. Burr

University of British Columbia

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Hadi Mohammadi

University of British Columbia

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Samuel V. Lichtenstein

University of British Columbia

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Robert D. Levy

University of British Columbia

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Eva Germann

University of British Columbia

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Boris Sobolev

University of British Columbia

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