Effects of Sarcopenia and Sarcopenic Obesity in Complex Abdominal Wall Surgery
The objective of our study is to evaluate the prevalence of sarcopenia and sarcopenic obesity in our surgical population and their relationship in postoperative complications after complex abdominal wall surgery and its influence on hernia recurrence. This is a retrospective study on a prospective maintains database of complex abdominal wall surgery. We select patients with defects larger than 10 cm from any location (W3 of the EHS classification), excluding other causes of complex abdominal wall in order to have a more homogeneous sample. Pre-surgical computed tomography (CT) scans of the selected patients will be reviewed to establish the diagnosis of sarcopenia, obesity, sarcopenia-obesity or the absence of these (normal). The CT scans will be reviewed by two trained investigators, blinded to postoperative complications and survival. In case of disagreement, a third investigator will break the tie. The radiological diagnosis of sarcopenia has been established based on the skeletal muscle mass index. Skeletal muscle mass measurement will be performed in a cross-section in the pre-surgical CT scan at the level of the third lumbar vertebra (L3). The BMI, the Visceral Fat Area and the Subcutaneous Fat Area (SFA) will also be measured. With the previous data, the VFA / SFA ratio will be calculated. The study will be completed with the collection of sociodemographic data, comorbidities and presence of risk factors for the development of incisional hernia, ASA, size and location of the hernia, surgical technique, postoperative complications according to Clavien-Dindo, stay, readmission, late complications and hernia recurrence. Likewise, the presence or absence of recurrence will be collected. Statistical analysis will be performed to see if there is a correlation between sarcopenia and sarcopenic obesity with the appearance of local and systemic complications and recurrence. To evaluate the independent contribution of each variable to the presence of complications, a univariate and multivariate logistic regression analysis will be performed.
Start: January 2021