Improving patient and staff safety by minimising radiation exposure during trauma surgery: A simple and validated predictive model

Abstract

IntroductionMinimising radiation exposure, from fluoroscopic equipment during trauma surgery is crucial to safe-guarding patients and staff. This aim of this study was to identify variables associated with increased radiation exposure for 3 of the most common trauma procedures. Secondly, we aimed to derive an internally and externally validated mathematical model for predicting radiation exposure for these procedures. Materials and methodsWe prospectively recorded radiation exposure from 270 sliding hip screw (SHS), ankle and wrist fixation procedures. Patient demographics, fracture severity, surgeon and radiographer grade were assessed using univariate and multivariate analyses. A mathematical model was then created and externally assessed for validity from another unit. ResultsWith regards to the analysis of radiation exposure when fixing wrist fractures, a significant regression equation was found (F (3, 86) = 62.2, p < 0.001), with an adjusted R2 of 0.69. Patients' predicted radiation exposure (cGY/cm2) was therefore equal to the positive result of: 81.916(Fracture severity) + 43.426(Surgical grade) + 23.490 (radiographer grade)-203.89.With regards to the analysis of radiation exposure when fixing ankle fractures, a significant regression equation was found, (F (3, 83) = 15.49, p < 0.001), with an adjusted R2 of 0.34. Patients' predicted radiation exposure (cGY/cm2) was therefore equal to the positive result of: 39.541(Fracture severity) + 51.937(Surgical grade) + 37.702 (radiographer grade)-124.558 SHS (F (3, 89) = 25.29, p < 0.001), R2 of 0.44.61.338(Fracture severity) + 60.945(Surgical grade) + 35.491 (radiographer grade)-105.501. These predictive models were successfully externally validated. ConclusionThis study has demonstrated a workable and externally validated model for accurately predicting the likely radiation exposure using common and easily collectable variables. These models could be used to modify practuce and minimise the radiation exposure to patients and staff.