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875 posters, 25 topics, 3,440 authors, 1,061 institutions
ePostersLive by SciGen Technologies S.A. All rights reserved.
March 25-28, 2026 | Tampa, FL, USA

P026
Grant S Shewmaker, Hailey Hunt, John B Eisenga, Gerald O Ogola, John M DiMaio, Steven G Leeds, Bola Aladegbami, Mazen Iskandar
Baylor University Medical Center, Texas A&M University College of Medicine, Baylor Scott & White The Heart Hospital - Plano, Baylor Scott & White Medical Center - Waxahachie
Abdominal Wall Hernias
Predicting Acute Kidney Injury After Transversus Abdominis Release
Grant Shewmaker MD, Hailey Hunt MS, John Eisenga MD, Gerald Ogola PhD, Michael Dimaio MD, Bola Aladegbami MD, Mazen Iskandar MD
Baylor University Medical Center
Dallas, TX
INTRODUCTION
Risk of AKI is higher in patients undergoing a componentseparation (TAR) during ventral hernia repair than patients whodo not get a component separation
AKI after ventral hernia repair contributes to increased cost,length of stay, and mortality
Independent predictors remain unclear
Objective: Identify patient and surgical predictors of AKI inpatients undergoing a ventral hernia repair with TAR
METHODS
Retrospective (2020–2024), two institutions
N=98 adults who underwent TAR as part of their ventral herniarepair
Exclusion criteria: Patients who had additional proceduresexcept for primary bowel repair, mesh excision, and lysis ofadhesions
Primary: AKI (KDIGO definition)
Secondary: LOS, 30-day readmission
Multivariable logistic & linear regression
AKI
Increased Preop Cr had an OR of 7.53 of AKI (p=0.003)
Minimally invasive trended toward protective (p=0.07)
Bilateral trended toward increased risk (p=0.12)
Female sex trended toward increased risk (p=0.19)
LENGTH OF STAY
Patients with AKI had longer LOS (5.0 vs 2.6 days, p <0.01)
Higher BMI associated with longer LOS ( p=0.049)
History of MI increased LOS by 1.5 days (p=0.050)
Robotic approach had shorter LOS by 2.7 days (p<0.001)
READMISSION
Minimally invasive protective OR 0.28 (p=0.043)
AKI not associated with readmission
CONCLUSIONS
AKI occurred in nearly 1 in 5 TAR patients
Preoperative creatinine strongest predictor
Consider renal optimization & monitoring of at-riskpatients
Larger studies needed to reduce type II error