Wound risk assessment in ventral hernia repair: generation and internal validation of a risk stratification system using the ACS-NSQIP.

BACKGROUND: 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. METHODS: 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. RESULTS: 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 < 0.01, C-statistic = 0.71) with an incidence of SSO that ranged from 3.3 to 26.5%. CONCLUSION: We present an internally validated risk model of SSO in OVHR (HW-RAT), which complements and builds upon current risk models. LEVEL OF EVIDENCE: Prognostic/risk category, level II.

Complications and morbidity following breast reconstruction--a review of 16,063 cases from the 2005-2010 NSQIP datasets.

Post-operative complications pose a significant set-back for patients undergoing breast reconstruction. This study aims to characterize factors associated with postoperative complications following breast reconstruction using the National Surgical Quality Improvement Program (ACS-NSQIP) database from 2005-2010. The 2005-2010 ACS-NSQIP databases were reviewed, identifying encounters for CPT codes including either implant-based reconstruction (immediate, delayed, and tissue expander) or autologous reconstruction (pedicled transverse rectus abdominus myocutaneous (TRAM), free TRAM, and latissimus dorsi flap with or without implant). Complications were characterized into three categories: major surgical complications, wound complications, and medical complications. During the study period 16,063 breast reconstructions were performed. Autologous reconstructions were performed in 20.7% of patients and implant-based in 79.3%. The incidence of major surgical complications was 8.4%, whereas the incidence of medical and wound complications was 1.6% and 3.5%, respectively. Independent risk factors for major surgical complications included: immediate and autologous reconstructions, obesity, smoking, previous percutaneous cardiac surgery (PCS), recent weight loss, bleeding disorder, recent surgery, ASA ≥ 3, intra-operative transfusion, and prolonged operative times. Risk factors for medical complications included: autologous reconstruction, obesity, tumor involving CNS, bleeding disorders, recent surgery, ASA ≥ 3, intra-operative transfusion, and prolonged operative times. This study characterizes the incidence of surgical and medical complications following breast reconstruction using a large, prospective multicentre dataset. Key identifiable risk factors associated with both surgical and medical morbidity included: autologous breast reconstruction, obesity, ASA ≥ 3, bleeding disorders, and prolonged operative time. Data derived from this cohort can be used to risk-stratify patients and to enhance perioperative decision-making.