Heart transplantation in special patient populations
Bibliographic record
Abstract
In this review of heart transplantation (HTx) in special patient populations, the indications for HTx for patients with underlying genetic conditions, myopathies, mitochondrial conditions, connective tissue disorders (CTDs), and intellectual developmental delay will be explored along with the outcomes and survival. A key principle for cardiologists looking after these patients who may develop end-stage heart failure and require HTx evaluation is to determine what is in the child's best interest from a medical, physical, emotional, developmental, and psychosocial perspective with a goal of providing the child not only survival but an acceptable quality of life within their underlying circumstances. This review highlights that much like clinicians do for any pediatric patient put forward for HTx and as the International Society of Heart Lung Transplantation (ISHLT) endorses an evaluation of the patient's cardiopulmonary status, comorbidities and psychosocial factors that may affect graft/patient survival should be considered for patients with underlying genetic conditions, myopathies, CTDs, and intellectual delays prior to transplantation. More research is required to better understand the risk and long-term outcomes of HTx in those with underlying mitochondrial conditions where HTx has accelerated the progression of disease in other organ systems and in conditions such as Noonan's syndrome, where patients have a higher risk of developing post-transplant complications such as post-transplant lymphoproliferative disorder.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".