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  • 1
    Publication Date: 2015-03-10
    Description: Background— Pediatric data on the impact of pre–heart transplantation (HTx) risk factors on early post-HTx outcomes remain inconclusive. Thus, among patients with previous congenital heart disease or cardiomyopathy, disease-specific risk models for graft loss were developed with the use pre-HTx recipient and donor characteristics. Methods and Results— Patients enrolled in the Pediatric Heart Transplant Study (PHTS) from 1996 to 2006 were stratified by pre-HTx diagnosis into cardiomyopathy and congenital heart disease cohorts. Logistic regression identified independent, pre-HTx risk factors. Risk models were constructed for 1-year post-HTx graft loss. Donor factors were added for model refinement. The models were validated with the use of patients transplanted from 2007 to 2009. Risk factors for graft loss were identified in patients with cardiomyopathy (n=896) and congenital heart disease (n=965). For cardiomyopathy, independent risk factors were earlier year of transplantation, nonwhite race, female sex, diagnosis other than dilated cardiomyopathy, higher blood urea nitrogen, and panel reactive antibody 〉10%. The recipient characteristic risk model had good accuracy in the validation cohort, with predicted versus actual survival of 97.5% versus 95.3% (C statistic, 0.73). For patients with congenital heart disease, independent risk factors were nonwhite race, history of Fontan, ventilator dependence, higher blood urea nitrogen, panel reactive antibody 〉10%, and lower body surface area. The risk model was less accurate, with 86.6% predicted versus 92.4% actual survival, in the validation cohort (C statistic, 0.63). Donor characteristics did not enhance model precision. Conclusions— Risk factors for 1-year post-HTx graft loss differ on the basis of pre-HTx cardiac diagnosis. Modeling effectively stratifies the risk of graft loss in patients with cardiomyopathy and may be an adjunctive tool in allocation policies and center performance metrics.
    Keywords: Other heart failure, Pediatric and congenital heart disease, including cardiovascular surgery
    Electronic ISSN: 1524-4539
    Topics: Medicine
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  • 2
    Publication Date: 2014-04-26
    Description: Background The onset of plastic bronchitis (PB) can be debilitating in survivors of Fontan surgery. The rarity of this complication makes designing studies to understand risk factors for PB challenging. This 2-center case-control study aimed to describe patient outcomes and to assess the association of antecedent patient factors with PB development. Methods and Results Using center registries, PB patients (n=25) were matched 1:2 to non-PB Fontans (n=43) by date of Fontan surgery and center. The groups were compared for baseline characteristics. Association of patient characteristics with PB was assessed using logistic regression and of potential risk factors with onset of PB using time-to-event analyses. The median time from Fontan to PB diagnosis was 2.5 years. Overall, 12/25 PB patients died or underwent heart transplant; the median transplant-free survival was 8.3 years after diagnosis. Factors associated with developing PB included post-surgical chylothorax (44% PB versus 10% control; odds ratio [OR] 7.3; P =0.003), chest tube (CT) duration at stage 2 ( P =0.04) and Fontan ( P =0.004), and postoperative ascites (36% PB versus 12% control; OR 4.2; P =0.003). CT drainage 〉13 days at Fontan was associated with earlier PB onset ( P =0.04). Early-onset PB was associated with an increased risk of death (OR 5.0; P =0.002). Conclusions PB is a life-threatening disorder. A longer duration of CT drainage after surgery, chylothorax, and development of ascites are all associated with developing PB. Understanding the pathophysiology of peri-operative complications in individual patients and using targeted interventions may delay the onset of the PB phenotype.
    Electronic ISSN: 2047-9980
    Topics: Medicine
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  • 3
    Publication Date: 2016-01-30
    Keywords: Congenital Heart Disease
    Electronic ISSN: 2047-9980
    Topics: Medicine
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