The use of elexacaftor/tezacaftor/ivacaftor in patients with cystic fibrosis postliver transplant: A case series
Bibliographic record
Abstract
INTRODUCTION: Cystic fibrosis (CF)-related liver disease (CFLD) manifests as a wide spectrum of hepatobiliary disease and can progress to need liver transplantation. Elexacaftor/tezacaftor/ivacaftor (elx/tez/iva) is a cystic fibrosis transmembrane conductance regulator modulator that has superior efficacy compared to previously approved modulators. Use of elx/tez/iva, should be approached with caution in individuals with CFLD or following liver transplantation due to possible increases in liver function tests (LFTs) and drug-drug interactions with several immunosuppressant medications. OBJECTIVE: The purpose of this case series is to explore if the use of elx/tez/iva is safe and tolerable in patients with CF postliver transplantation. METHODS: A retrospective case series including patients prescribed elx/tez/iva following liver transplantation and an immunosuppressive regimen consisting of drug therapy metabolized by P-glycoprotein was completed. RESULTS: Ten patients at six CF centers with a median age of 22.1 years (range 14-43.4 years) and the median time from the transplant of 6.9 years (range 0.6-22 years) were included. Most patients (8, 80%) received a reduced or full dose of elx/tez/iva for a mean duration of 10.4 months (range 7-12 months). Fluctuations in LFTs occurred in all patients (10, 100%) and led to therapy discontinuation in two patients (20%). Elx/tez/iva initiation resulted in elevations in tacrolimus trough concentration in seven patients (70%). Most patients who tolerated elx/tez/iva had symptomatic and quality of life improvement, increased body mass index, and maintained or improved lung function. CONCLUSION: Initiation of elx/tez/iva in patients with CF who received liver transplantation may be safe with clinical benefits.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".