Surgical approaches for core abdominal injuries: a review of the Abdominal Core Health Quality Collaborative database

Core abdominal injury (CAI) is a broad term that describes injuries resulting from repetitive loading of the pubis that leads to inflammation, rupture, or destabilization of the core muscles from the pubic bone. There is no clear recommendation on the surgical approach to CAI. We aimed to describe how hernia surgeons within the Abdominal Core Health Quality Collaborative (ACHQC) address this problem surgically and the short-term outcomes.

We queried the ACHQC registry for patients undergoing surgery for isolated CAI and concomitant inguinal hernias (IH) and CAI. Operative approach and quality of life (using EuraHS survey scores) was abstracted.

A total of 29,451 patients underwent surgery for IHs, CAIs, or both within the registry. Twenty patients underwent surgery for isolated CAI (median age 29, 90% males). Eleven patients (55%) underwent surgery with mesh (four Lichtenstein, three TAPP, and four TEP). Nine patients (45%) underwent tissue-based repairs (four closure of floor, one Bassini, one McVay, one Shouldice, one femoral exploration, and one laparoscopic-to-open conversion). There were no postoperative complications or reoperations within 30 days. EuraHS scores showed improvement at 30 days from baseline (median 29 [6.75-41.75] from 42 [29.42-57.61]). Sixty patients had both IHs and CAIs (median age 31, 97% males). All patients received mesh. Thirty-one patients (52%) underwent open surgery (23 Lichtenstein, 1 plug, 7 TREPP) and 29 underwent minimally invasive repairs (23 TAPP, 6 TEP). There was one seroma at 30 days. EuraHS scores showed improvement at 30 days from baseline (median 16 [5.17-27.33] from 37.5 [26.44-46.58]).

Despite technical variability, CAIs with or without concomitant IH generally undergo operations commonly used for IH repairs. Within our series, there was inconsistency with approach and mesh placement. Future work should be focused on standardizing the approach to CAI and capturing long-term data within the ACHQC.