Disruptive bleeding can complicate surgical procedures, increasing resource use, and impacting patients' well-being. This study aims to elucidate the impact of comorbidity on the risk of disruptive surgical-related bleeding and selected transfusion-associated complications, as well as the incremental cost of such bleeding. Patients and Methods: This retrospective analysis of the Premier Healthcare Database included patients who were age ≥18 years and who had a procedure of interest between 1-Jan-2019-31-Dec-2019: cholecystectomy, coronary artery bypass grafting, cystectomy, hepatectomy, hysterectomy, pancreatectomy, peripheral vascular, thoracic, and valve procedures (first=index). The Elixhauser comorbidity index was assessed on index date and patients were grouped by cumulative comorbidity score (0, 1, 2, 3, 4, 5, ≥6). Outcomes, all measured as in-hospital during index, included bleeding (diagnosis and/or intervention for bleeding), transfusionassociated complications (diagnosis of infection, acute renal failure, or vascular events), and incremental total hospital costs associated with bleeding. Multivariable generalized linear models were used to examine the association of comorbidity/bleeding with outcomes. Results: Of the 304,074 patients included, 7% experienced bleeding. The Elixhauser scores were distributed as follows: 0=29%, 1=23%, 2=18%, 3=12%, 4=8%, 5=5%, ≥6=5%. Odds of bleeding significantly increased with Elixhauser score: 1 comorbidity vs 0 (odds ratio [OR] =1.30, 95% confidence interval [95% CI] =1.19-1.43), and this trend continued to surge (≥6 comorbidities [OR=3.22,). Similarly, the odds of transfusion-associated complications significantly increased with comorbidities score: 1 comorbidity vs 0 (OR=2.14, 95% CI=1.88-2.34), ≥6 comorbidities vs 0 (OR=12.37, 95% CI=10.