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Influencing factors for delayed diagnosed injuries in multiple trauma patients – introducing the ‘Risk for Delayed Diagnoses Score’ (RIDD-Score)
Influencing factors for delayed diagnosed injuries in multiple trauma patients – introducing the ‘Risk for Delayed Diagnoses Score’ (RIDD-Score)
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Influencing factors for delayed diagnosed injuries in multiple trauma patients – introducing the ‘Risk for Delayed Diagnoses Score’ (RIDD-Score)
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Influencing factors for delayed diagnosed injuries in multiple trauma patients – introducing the ‘Risk for Delayed Diagnoses Score’ (RIDD-Score)
Influencing factors for delayed diagnosed injuries in multiple trauma patients – introducing the ‘Risk for Delayed Diagnoses Score’ (RIDD-Score)

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Influencing factors for delayed diagnosed injuries in multiple trauma patients – introducing the ‘Risk for Delayed Diagnoses Score’ (RIDD-Score)
Influencing factors for delayed diagnosed injuries in multiple trauma patients – introducing the ‘Risk for Delayed Diagnoses Score’ (RIDD-Score)
Journal Article

Influencing factors for delayed diagnosed injuries in multiple trauma patients – introducing the ‘Risk for Delayed Diagnoses Score’ (RIDD-Score)

2024
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Overview
Purpose Delayed diagnosed injuries (DDI) in severely injured patients are an essential problem faced by emergency staff. Aim of the current study was to analyse incidence and type of DDI in a large trauma cohort. Furthermore, factors predicting DDI were investigated to create a score to identify patients at risk for DDI. Methods Multiply injured patients admitted between 2011 and 2020 and documented in the TraumaRegister DGU® were analysed. Primary admitted patients with severe injuries and/or intensive care who survived at least 24 h were included. The prevalence, type and severity of DDI were described. Through multivariate logistic regression analysis, risk factors for DDI were identified. Results were used to create a ‘Risk for Delayed Diagnoses’ (RIDD) score. Results Of 99,754 multiply injured patients, 9,175 (9.2%) had 13,226 injuries first diagnosed on ICU. Most common DDI were head injuries (35.8%), extremity injuries (33.3%) and thoracic injuries (19.7%). Patients with DDI had a higher ISS, were more frequently unconscious, in shock, required more blood transfusions, and stayed longer on ICU and in hospital. Multivariate analysis identified seven factors indicating a higher risk for DDI (OR from 1.2 to 1.9). The sum of these factors gives the RIDD score, which expresses the individual risk for a DDI ranging from 3.6% (0 points) to 24.8% (6 + points). Conclusion DDI are present in a sounding number of trauma patients. The reported results highlight the importance of a highly suspicious and thorough physical examination in the trauma room. The introduced RIDD score might help to identify patients at high risk for DDI. A tertiary survey should be implemented to minimise delayed diagnosed or even missed injuries.