Risk of Postoperative Infectious Complications From Medical Therapies in Inflammatory Bowel Disease: A Systematic Review and Meta-Analysis
Journal Articles
Overview
Research
Identity
Additional Document Info
View All
Overview
abstract
AbstractObjectiveTo assess the impact of inflammatory bowel disease (IBD) medications on postoperative infection risk within 30 days of surgery.MethodsWe searched multiple electronic databases and reference lists of articles dating up to August 2018 for prospective and retrospective studies comparing postoperative infection risk in patients treated with an IBD medication perioperatively with the risk in patients who were not taking that medication. Outcomes were overall infectious complications and intra-abdominal infections within 30 days of surgery.ResultsSixty-three studies were included. Overall infectious complications were increased in patients who received anti–tumor necrosis factor (TNF) agents (odds ratio [OR] 1.26; 95% confidence interval [CI], 1.07-1.50) and corticosteroids (OR 1.34; 95% CI, 1.25-1.44) and decreased in those who received 5-aminosalicylic acid (OR 0.63; 95% CI, 0.46-0.87). No difference was observed in those treated with immunomodulators (OR 1.08; 95% CI, 0.94-1.25) or anti-integrin agents (OR 1.06; 95% CI, 0.67-1.69). Both corticosteroids and anti-TNF agents were associated with increased intra-abdominal infection risk (OR 1.63; 95% CI, 1.33-2.00 and OR 1.46; 95% CI, 1.08-1.97, respectively), whereas no impact was observed with 5-aminosalicylates, immunomodulators, or anti-integrin therapy. Twenty-two studies had low risk of bias while the remaining studies had very high risk.ConclusionsCorticosteroids and anti-TNF agents were associated with increased overall postoperative infection risk as well as intra-abdominal infection in IBD patients, whereas no increased risk was observed for immunomodulators or anti-integrin therapy. Although these results may result from residual confounding rather than from a true biological effect, prospective studies that control for potential confounding factors are required to generate higher-quality evidence.
