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Risk factors and predictive models for postoperative surgical site infection in patients with massive hemorrhage
Wei-Chao Zheng1, Yang Bai1, Jian-Lei Ge1
1Department of Anesthesiology, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Background:
This study aimed to identify risk factors associated with postoperative surgical site infection (SSI) in patients experiencing massive hemorrhage and develop a predictive model.
Methods:
A retrospective analysis of 121 orthopedic surgery patients and experienced massive hemorrhage was conducted. According to postoperative SSI occurrence, the patients were divided into two groups: the infection group (n = 12) and the non-infection group (n = 109). Clinical data were collected, and a predictive model was developed using logistic regression analysis in patients with massive hemorrhage.
Results:
Independent risk factors for postoperative SSI included ASA grade, urine volume, and type 2 diabetes. An area under the curve for the prediction of postoperative SSI based on the Receiver Operating Characteristic (ROC) curve for the risk score was 0.916.
Conclusions:
Patients with a urine volume of ≥3.49 ml/kg/h, higher ASA grade, and type 2 diabetes are at an increased risk of developing postoperative SSI after experiencing massive hemorrhage.
Level Of Evidence:
Level III.
