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Acute kidney injury (AKI) is a serious postoperative complication, negatively impacting mortality rates, extending length of stay, and raising hospital costs. The purpose of this study was to examine AKI following open ventral hernia repair (OVHR) using a large, heterogeneous database to determine the incidence and identify risk factors for this complication. Using the 2005–2012 ACS-NSQIP database, patients undergoing open ventral hernia repair were identified by CPT codes. Patients with acute kidney injury within 30 days of surgery were compared to controls by multivariate logistic regression across preoperative and intraoperative characteristics. Of 48,629 open ventral hernia repair patients identified in the dataset, AKI developed in 1.4 % (681 patients). Multivariate logistic regression determined a number of factors associated with AKI. These include WHO Class III obesity (OR = 2.57, p

Methods: A retrospective review of patients with large midline abdominal hernia treated using component separation technique from 2009 to 2013 at General Surgery Department of Kipshidze Central University Hospital was performed. The scoring criteria were wound complications (infection, hematoma, seroma, scin necrosis, secondary healing), time to return to work/normal activities and recurrent hernia. The mean follow-up time was 21 months.

Institutions are now incentivized to decrease rates of preventable readmissions. The purpose of this study was to examine readmissions following open ventral hernia repair (VHR), to ultimately create a model to preoperatively identify high-risk patients. Utilizing the 2011 and 2012 ACS-NSQIP datasets, patients undergoing open VHR were identified by CPT codes. Patients who were readmitted in 2011 within 30 days of the procedure were compared to those who were not with regard to preoperative and operative characteristics. A bootstrap analysis was performed to identify internally validated risk factors to be included in the final logistic regression, which was utilized to create a weighted model to predict the risk of readmission. This model was then validated with VHR patients in 2012. Overall, 10,745 patients were included for model generation. Of these, 850 (7.9 %) patients were readmitted within 30 days. The final bootstrap analysis demonstrated that active smoking, ASA ≥ 3, a history of bleeding disorder or anemia, long operative time, inpatient status, and concurrent panniculectomy were all independently associated with readmission following ventral hernia repair. Significant variables were assigned a weighted score, ranging from 1 to 3. Each patient was then placed into one of four cohorts according to their summed score. The internally validated model [Hernia Readmission Risk (HERR) Score] demonstrated that risk increased in a linear fashion, with the highest risk cohort having a 21 % risk of 30-day readmission. Perioperative predictors of readmission following VHR include smoking, ASA score, operative magnitude, concurrent panniculectomy, and preoperative anemia and bleeding disorders. The presented model based on these factors can aid in perioperative risk stratification for readmission.

There is a need for validated risk models to better stratify surgical site occurrences (SSO) following open ventral hernia repair (OVHR). The addition of more generalizable and validated risk models will serve to improve perioperative care in OVHR patients. We reviewed the 2005–2011 ACS-NSQIP databases identifying encounters for OVHR. The dependent outcome measure of interest was SSO, defined as superficial surgical site infection, deep infection, organ space infection, or wound dehiscence. Multivariate logistic regression of independently associated factors was performed and internally validated using a bootstrap technique. A composite risk score, the Hernia Wound Risk Assessment Tool (HW-RAT) was created using weighted beta coefficients. The HW-RAT was compared to existing models from the literature. A total of 60,187 patients who met inclusion criteria were identified in the 2005–2011 ACS-NSQIP databases. The incidence of SSO in the study was 6.2 % (N = 3,732). SSO risk factors were broken down based on rounded risk scores into the following groups: mild, intermediate, moderate, and severe risk. Severe risk factors related to operative time and degree of wound contamination. Moderate risk factors included class III obesity, component separation, dependent functional status, and inpatient hernia surgery. Patient stratification was performed based on total risk score into HW-RAT risk groups 1 through 5 which demonstrated significant discrimination between and across each group (P