

Sarah Wehbé
261 posts

@WehbeSarah
PGY1 @UConnIM GI Research Fellow @ClevelandClinic MD @AUB_Lebanon Classically trained pianist.


























Thrilled to welcome our star-studded Cardiology Fellowship Class of 2029! An unbelievable group of future leaders, we can’t wait for you to join the CCF family! 🌟 🌟 @venumenon10 @RanLeeMD @CleClinicHVTI #CCFCardsFamily

🚨Our LT+CS-2.0 score on combined liver transplantation + cardiac surgery (LT+CS) has just been published in @acsJACS the largest and most comprehensive analysis of this procedure to date. The LT+CS-2.0 is a clinical tool that estimates a patient’s risk of death after undergoing combined liver transplantation and CABG/Valve surgery. ⚡Strongest predictors of long-term mortality in our cohort: CKD, MASH, renal dysfunction and aortic stenosis. ⚙️ Machine Learning LOOCV removes one patient at a time, trains on the rest, and tests on the excluded case, cycling through all patients to ensure stable model performance. 📊Low-risk patients perform remarkably well: 1-, 3-, 5-year survival = 95.7%, 95.7%, 87.7%. Nearly comparable to isolated liver transplantation. 📊High-risk patients had markedly higher odds of complications during hospitalization (OR 3.12, p = 0.0781), at 3 months (OR 9.71, p = 0.00152), 6 months (OR 7.97, p = 0.00335), and 12 months (OR 6.61, p = 0.00705). ✏️Better selection = better survival. Thanks @ChaseWehrle for the guidance and to the incredible team Im glad to work with @WehbeSarah @MaanFares @JModaresi @nickruthmann , Dr. Andrea Schlegel MD pubmed.ncbi.nlm.nih.gov/41217341/












🔍 Excited to share our recent JAMIA Proceedings paper. We improved #CMR report quality, standardization, and efficiency by implementing structured reporting with semi-automated segmentations and rule-based requirements🫀💻 #AIinMedicine #WhyCMR #JAMIA pubmed.ncbi.nlm.nih.gov/40417532/









