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Featured researches published by M.X. Pham.


The New England Journal of Medicine | 2010

Gene-Expression Profiling for Rejection Surveillance after Cardiac Transplantation

M.X. Pham; Jeffrey J. Teuteberg; Abdallah G. Kfoury; Randall C. Starling; Mario C. Deng; Thomas P. Cappola; Andrew Kao; Allen S. Anderson; William G. Cotts; Gregory A. Ewald; D.A. Baran; Roberta C. Bogaev; Barbara Elashoff; H. Baron; J. Yee; Hannah A. Valantine; Abstr Act

BACKGROUND Endomyocardial biopsy is the standard method of monitoring for rejection in recipients of a cardiac transplant. However, this procedure is uncomfortable, and there are risks associated with it. Gene-expression profiling of peripheral-blood specimens has been shown to correlate with the results of an endomyocardial biopsy. METHODS We randomly assigned 602 patients who had undergone cardiac transplantation 6 months to 5 years previously to be monitored for rejection with the use of gene-expression profiling or with the use of routine endomyocardial biopsies, in addition to clinical and echocardiographic assessment of graft function. We performed a noninferiority comparison of the two approaches with respect to the composite primary outcome of rejection with hemodynamic compromise, graft dysfunction due to other causes, death, or retransplantation. RESULTS During a median follow-up period of 19 months, patients who were monitored with gene-expression profiling and those who underwent routine biopsies had similar 2-year cumulative rates of the composite primary outcome (14.5% and 15.3%, respectively; hazard ratio with gene-expression profiling, 1.04; 95% confidence interval, 0.67 to 1.68). The 2-year rates of death from any cause were also similar in the two groups (6.3% and 5.5%, respectively; P=0.82). Patients who were monitored with the use of gene-expression profiling underwent fewer biopsies per person-year of follow-up than did patients who were monitored with the use of endomyocardial biopsies (0.5 vs. 3.0, P<0.001). CONCLUSIONS Among selected patients who had received a cardiac transplant more than 6 months previously and who were at a low risk for rejection, a strategy of monitoring for rejection that involved gene-expression profiling, as compared with routine biopsies, was not associated with an increased risk of serious adverse outcomes and resulted in the performance of significantly fewer biopsies. (ClinicalTrials.gov number, NCT00351559.)


American Journal of Transplantation | 2008

Twenty‐Year Survivors of Heart Transplantation at Stanford University

T. Deuse; Francois Haddad; M.X. Pham; Sharon A. Hunt; Hannah A. Valantine; Michael Bates; Hari R. Mallidi; Oyer Pe; R.C. Robbins; Bruce A. Reitz

Human heart transplantation started 40 years ago. Medical records of all cardiac transplants performed at Stanford were reviewed. A total of 1446 heart transplantations have been performed between January 1968 and December 2007 with an increase of 1‐year survival from 43.1% to 90.2%. Sixty patients who were transplanted between 1968 and 1987 were identified who survived at least 20 years. Twenty‐year survivors had a mean age at transplant of 29.4 ± 13.6 years. Rejection‐free and infection‐free 1‐year survivals were 14.3% and 18.8%, respectively. At their last follow‐up, 86.7% of long‐term survivors were treated for hypertension, 28.3% showed chronic renal dysfunction, 6.7% required hemodialysis, 10% were status postkidney transplantation, 13.3% were treated for diabetes mellitus, 36.7% had a history of malignancy and 43.3% had evidence of allograft vasculopathy. The half‐life conditional on survival to 20 years was 28.1 years. Eleven patients received a second heart transplant after 11.9 ± 8.0 years. The most common causes of death were allograft vasculopathy (56.3%) and nonlymphoid malignancy (25.0%). Twenty‐year survival was achieved in 12.5% of patients transplanted before 1988. Although still associated with considerable morbidity, long‐term survival is expected to occur at much higher rates in the future due to major advances in the field over the past decade.


American Heart Journal | 2008

Effect of rapamycin therapy on coronary artery physiology early after cardiac transplantation

Seema Sinha; M.X. Pham; Randall H. Vagelos; Mark G. Perlroth; Sharon A. Hunt; David P. Lee; Hannah A. Valantine; Alan C. Yeung; William F. Fearon

BACKGROUND Rapamycin has been shown to reduce anatomical evidence of cardiac allograft vasculopathy, but its effect on coronary artery physiology is unknown. METHODS Twenty-seven patients without angiographic evidence of coronary artery disease underwent measurement of fractional flow reserve (FFR), coronary flow reserve (CFR), and the index of microcirculatory resistance (IMR) within 8 weeks and then 1 year after transplantation using a pressure sensor/thermistor-tipped guidewire. Measurements were compared between consecutive patients who were on rapamycin for at least 3 months during the first year after transplantation (rapamycin group, n = 9) and a comparable group on mycophenolate mofetil (MMF) instead (MMF group, n = 18). RESULTS At baseline, there was no significant difference in FFR, CFR, or IMR between the 2 groups. At 1 year, FFR declined significantly in the MMF group (0.87 +/- 0.06 to 0.82 +/- 0.06, P = .009) but did not change in the rapamycin group (0.91 +/- 0.05 to 0.89 +/- 0.04, P = .33). Coronary flow reserve and IMR did not change significantly in the MMF group (3.1 +/- 1.7 to 3.2 +/- 1.0, P = .76; and 27.5 +/- 18.1 to 19.1 +/- 7.6, P = .10, respectively) but improved significantly in the rapamycin group (2.3 +/- 0.8 to 3.8 +/- 1.4, P < .03; and 27.0 +/- 11.5 to 17.6 +/- 7.5, P < .03, respectively). Multivariate regression analysis revealed that rapamycin therapy was an independent predictor of CFR and FFR at 1 year after transplantation. CONCLUSION Early after cardiac transplantation, rapamycin therapy is associated with improved coronary artery physiology involving both the epicardial vessel and the microvasculature.


Transplantation | 2014

Utility of Gene Expression Profiling Score Variability to Predict Clinical Events in Heart Transplant Recipients

Mario C. Deng; Barbara Elashoff; M.X. Pham; Jeffrey J. Teuteberg; Abdallah G. Kfoury; Randall C. Starling; Thomas P. Cappola; Andrew Kao; Allen S. Anderson; William G. Cotts; Gregory A. Ewald; D.A. Baran; Roberta C. Bogaev; Khurram Shahzad; D. Hiller; J. Yee; Hannah A. Valantine

Background Gene expression profiling test scores have primarily been used to identify heart transplant recipients who have a low probability of rejection at the time of surveillance testing. We hypothesized that the variability of gene expression profiling test scores within a patient may predict risk of future events of allograft dysfunction or death. Method Patients from the IMAGE study with rejection surveillance gene expression profiling tests performed at 1- to 6-month intervals were selected for this cohort study. Gene expression profiling score variability was defined as the standard deviation of an individual’s cumulative test scores. Gene expression profiling ordinal score (range, 0–39), threshold score (binary value=1 if ordinal score ≥34), and score variability were studied in multivariate Cox regression models to predict future clinical events. Results Race, age at time of transplantation, and time posttransplantation were significantly associated with future events in the univariate analysis. In the multivariate analyses, gene expression profiling score variability, but not ordinal scores or scores over threshold, was independently associated with future clinical events. The regression coefficient P values were <0.001, 0.46, and 0.773, for gene expression profiling variability, ordinal, and threshold scores, respectively. The hazard ratio for a 1 unit increase in variability was 1.76 (95% CI, 1.4–2.3). Discussion The variability of a heart recipient’s gene expression profiling test scores over time may provide prognostic utility. This information is independent of the probability of acute cellular rejection at the time of testing that is rendered from a single ordinal gene-expression profiling test score.


Transplantation Proceedings | 2013

Granulocyte Colony-Stimulating Factor Therapy Is Associated With a Reduced Incidence of Acute Rejection Episodes or Allograft Vasculopathy in Heart Transplant Recipients

Bojan Vrtovec; Francois Haddad; M.X. Pham; T. Deuse; William F. Fearon; Sonja Schrepfer; Sebastian Leon; Thu A. Vu; Hannah A. Valantine; Sharon A. Hunt

BACKGROUND We evaluated the potential effects of granulocyte colony-simulating factor (G- CSF) on the incidence of rejection and allograft vasculopathy in heart transplant recipients. METHODS Of 247 patients undergoing heart transplantation from 2000 to 2007, 52 (21%) developed leukopenia (white blood cell [WBC] <2.5 × 10(9) cells/L) in the absence of active infection, rejection, or malignancy. In 24 (46%) patients a clinical decision was made to treat the leukopenia with G-CSF (G-CSF group), and 28 (54%) Patients received no G-CSF (non-GCSF group). Patients followed up for 1 year after the period of leukopenia were assessed for allograft vasculopathy and acute rejection incidence. RESULTS At baseline, the G-CSF group and the non-GCSF group did not differ in age, gender, race, heart failure etiology, creatinine, left ventricular ejection fraction (LVEF) or immunosupressive regimen. During 1-year follow-up there were no deaths in the G-CSF group, and 1 death in the non-GCSF group (P = .34). The incidence of rejection or progressive allograft vasculopathy was lower in the G-CSF group when compared with the non-GCSF group (2 [8%] vs 15 [53%]; P < .01). Multivariate analysis identified both prior rejection episodes and G-CSF therapy as factors associated with the combined end-point of rejection or progressive allograft vasculopathy (odds ratio [OR] = 7.89 [1.67-37.2] and OR = 0.09 [0.02-0.52], respectively). CONCLUSIONS G-CSF therapy appears to be associated with a decreased incidence of acute rejection episodes or allograft vasculopathy in heart transplant recipients, suggesting a potential immunomodulatory effect of G-CSF.


Journal of Heart and Lung Transplantation | 2015

Gene expression profiling to study racial differences after heart transplantation

Kiran K. Khush; M.X. Pham; Jeffrey J. Teuteberg; Abdallah G. Kfoury; Mario C. Deng; Andrew Kao; Allen S. Anderson; William G. Cotts; Gregory A. Ewald; D.A. Baran; D. Hiller; J. Yee; Hannah A. Valantine

Background The basis for increased mortality after heart transplantation in African Americans and other non-Caucasian racial groups is poorly defined. We hypothesized that increased risk of adverse events is driven by biological factors. To test this hypothesis in the IMAGE study, we determined whether the event rate of the primary outcome of acute rejection, graft dysfunction, death, or re-transplantation varied by race as a function of calcineurin inhibitor levels and gene expression profile (GEP) scores. Methods We determined the event rate of the primary outcome, comparing racial groups, stratified by time post-transplant. Logistic regression was used to compute the relative risk across racial groups and linear modeling was used to measure the dependence of CNI levels and GEP score on race. Results In 580 patients followed for a median of 19 months, the incidence of the primary endpoint in African Americans, other non-Caucasians, and Caucasians was 18.3%, 22.2%, and 8.5%, respectively (p<0.001). There were small but significant correlations of race and tacrolimus trough levels to GEP score. Tacrolimus levels were similar between races. Of patients receiving tacrolimus, other non-Caucasians had higher GEP scores than the other racial groups. African American recipients demonstrated a unique decrease in expression of the FLT3 gene in response to higher tacrolimus levels. Conclusions African Americans and other non-Caucasian heart transplant recipients were 2.5–3 times more likely than Caucasians to experience outcome events in IMAGE. The increased risk of adverse outcomes may be partly due to the biology of the alloimmune response, which is less effectively inhibited at similar tacrolimus levels in minority racial groups.


Genomic and Personalized Medicine (Second Edition)#R##N#V1-2 | 2013

Cardiac Transplant Rejection

M.X. Pham; James Yee

AlloMap® Molecular Expression Testing is based on gene expression profiling of RNA extracted from peripheral venous blood to aid in the assessment of heart transplant recipients for acute cellular rejection. The non-invasive test has journeyed from diagnostic concept through candidate gene discovery, test development, validation, regulatory approvals, and recent completion of a large, clinical comparative effectiveness study. The clinical context of heart transplant patient management is described, including the types of transplant rejection that may occur, current immunosuppressive regimens used to prevent rejection, and patient monitoring strategies utilized after transplantation. We then summarize the development of this genomic test, and the body of evidence supporting its clinical utility.


Journal of Heart and Lung Transplantation | 2007

Molecular testing for long-term rejection surveillance in heart transplant recipients : Design of the Invasive Monitoring Attenuation Through Gene Expression (IMAGE) trial

M.X. Pham; Mario C. Deng; Abdallah G. Kfoury; Jeffrey J. Teuteberg; Randall C. Starling; Hannah A. Valantine


Journal of Heart and Lung Transplantation | 2013

Racial Disparities after Heart Transplant: Evidence from IMAGE

Kiran K. Khush; M.X. Pham; J.J. Teuteberg; Abdallah G. Kfoury; Randall C. Starling; Mario C. Deng; Thomas P. Cappola; A. Kao; Allen S. Anderson; William G. Cotts; Gregory A. Ewald; D.A. Baran; Roberta C. Bogaev; Mark A. Hlatky; B. Elashoff; D. Hiller; J. Yee; Hannah A. Valantine


Journal of Heart and Lung Transplantation | 2012

469 Correlation of Cytomegalovirus (CMV) Serologic Status of Heart Transplant Recipients to Gene-Expression Profiling Scores and Clinical Outcomes: Results from the IMAGE Multicenter Study

William G. Cotts; Mario C. Deng; B. Elashoff; M.X. Pham; J.J. Teuteberg; Abdallah G. Kfoury; Randall C. Starling; Thomas P. Cappola; A. Kao; Allen S. Anderson; Gregory A. Ewald; D.A. Baran; Roberta C. Bogaev; Valentina Stosor; J. Yee; Hannah A. Valantine

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Abdallah G. Kfoury

Intermountain Medical Center

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Mario C. Deng

University of California

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D.A. Baran

Newark Beth Israel Medical Center

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Gregory A. Ewald

Washington University in St. Louis

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Thomas P. Cappola

University of Pennsylvania

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