November 29, 2016PLoS ONEOpen Access

Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study

View Full Paper

Ask AI

Bookmark

Why the study?

Does myocardial Gene Expression Profiling (GEP) predict and identify acute cellular rejection in heart transplant patients?

Structured PICO

Does myocardial Gene Expression Profiling (GEP) predict and identify acute cellular rejection in heart transplant patients?

Population

126 heart transplant patients (median age 50, 88% male) from a retrospective cohort, from which 36 endomyocardial biopsies were selected for analysis based on ISHLT grading (grade 0, grade ≥3A, or grade 0 one month before rejection).

Intervention

Myocardial Gene Expression Profiling (GEP)

Comparator

Standard histological grading (ISHLT grade 0)

Outcome

Diagnosis and prediction of acute cellular rejection (ACR)surrogate

Myocardial gene expression profiling can accurately diagnose acute cellular rejection and predict its occurrence one month before histological changes in heart transplant recipients.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

May support earlier noninvasive rejection monitoring in transplants; leaves open prospective validation before clinical adoption.

Cite This Study

Bodez et al. (2016) studied this question.

synapsesocial.com/papers/6a868de9bf1bec71db6ed1cd https://doi.org/10.1371/journal.pone.0167213

Topics

Heart transplantation

View Full Paper

Ask AI

Bookmark

Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study

Structured PICO

Discussion

Implication

Cite This Study

Topics

Myocardial Gene Expression Profiling to Predict and Identify Cardiac Allograft Acute Cellular Rejection: The GET-Study

Structured PICO

Discussion

Implication

Cite This Study

Also Consider

Topics

Also Consider