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Ventral hernia repair with abdominal wall reconstruction can be a challenging endeavor, as patients commonly present not only with complex and recurrent hernias but also often with comorbidities that increase the risk of postoperative complications including wound morbidity and hernia recurrence, among other risks. By optimizing patient comorbidities in the preoperative setting and managing postoperative care in a regimented fashion, enhanced recovery after surgery pathways allow for a systematic approach to reduce complications and speed up recovery following ventral hernia repair.

Background: Ventral hernias are a common pathology encountered by surgeons. Multiple risk stratification tools have been developed in attempts to predict a patient's postoperative risk for complication. The aim of this systematic review was to identify published stratification tools, to assess their generalizability, and develop an ensemble risk score model., Methods: A systematic review of the literature was performed using PubMed and following the PRISMA guidelines. Two independent reviewers identified articles describing hernia stratification tools or validating an established tool. Inclusion criteria included articles that studied ventral hernia risk score models developed through expert consensus or from data of at least 500 subjects, performed a multivariable analysis of at least 500 patients, or assessed a previously reported model. Studies were grouped by primary outcome, and the odds ratios for correlated variables were compiled. Outcomes described in 4 or more articles were then stacked to generate a cumulative risk score model for patients undergoing abdominal wall repair., Results: A total of 20 articles were found to meet our inclusion criteria and used to develop our ensemble model. Surgical-site infection, surgical-site occurrence, and hernia recurrence were the 3 primary outcomes used to calculate our stacked cumulative risk stratification score., Conclusions: There are multiple risk score tools published; however, all have their strengths and limitations. For this reason, we created a composite score model with data from major articles to predict a patient's risk for postoperative complications. This model aims to ease the shared-decision making process for patients, surgeons, and institutions.