Point-of-care ultrasound compared with conventional radiographic evaluation in children with suspected distal forearm fractures in the Netherlands: a diagnostic accuracy study.

BACKGROUND: Distal forearm fractures are common in children. The reference standard to diagnose these fractures is by conventional radiography, which exposes these patients to harmful radiation. Ultrasound (US) seems to be a good alternative. However, emergency physicians (EPs) in the Netherlands have limited experience in using US for diagnosing fractures in children. OBJECTIVE: The primary objective was to determine the accuracy of US, performed by a Dutch EP, compared with conventional radiography, in diagnosing distal forearm fractures in children. As a secondary objective, differences in pain scores during the performance of both US and plain radiography were determined. METHODS: Children, aged between 0 and 14 years old, suspected of having a distal forearm fracture were enrolled at the Emergency Department. US and radiographic findings were compared. Statistics for accuracy were calculated. Pain scores were recorded during US and radiography and compared as well. All participating operators received an hour-long pretrial training. RESULTS: 100 patients were enrolled. The mean age was 9.5 years (SD, 3.6), and 50% were women. Overall diagnostic accuracy was 92% (95% CI 85%-96%). The sensitivity, specificity, positive and negative predictive values, positive and negative likelihood ratios for US were 95% (95% CI 87% to 99%), 86% (95% CI 71% to 95%), 92% (95% CI 83% to 97%), 91% (95% CI 76% to 98%), 6.86 (95% CI 3.04 to 15.51) and 0.05 (95% CI 0.02 to 0.17), respectively. The pain scores during US and radiographic imaging were 3.3 and 4.6, respectively (p<0.01). CONCLUSIONS: In this study, we showed that US is an accurate method for diagnosing distal forearm fractures in children. The main advantages are that it is radiation-free and rapidly practicable, and that patients experience it as less painful than radiography. Moreover, this study has proven that with minimal experience in US, good diagnostic accuracy can be achieved after brief training.

A clinical decision model identifies patients at risk for delayed diagnosed injuries after high-energy trauma.

OBJECTIVE: Tertiary trauma survey is widely implemented in trauma care to identify all injuries in trauma patients. However, various studies consistently show that some trauma patients have missed injuries. In this study, we developed a clinical decision model to identify patients who are at risk for delayed diagnosed injuries. METHODS: During a period of 18 months, we collected the medical records of all the adult patients who presented after a high-energy trauma at the emergency department of a Dutch trauma centre. The type of trauma, patient characteristics, the radiology studies performed, Glasgow Coma Scale, Revised Trauma Score, and Injury Severity Score (ISS) were registered. We thoroughly screened all medical records for delayed diagnosed injuries. Stepwise logistic regression analysis was used to identify the variables associated with the outcome delayed diagnosed injuries and to develop a clinical prediction model. RESULTS: We included 475 patients. Thirteen (2.7%) patients with delayed diagnosed injuries were identified. Stepwise logistic regression analysis revealed several models with the ISS, ICU admittance, and CT-head as predictive variables. The model we proposed with the ISS could identify patients who are at a risk for delayed diagnosed injuries with a sensitivity of 92.3% and a specificity of 86.4%. CONCLUSION: Our newly developed clinical decision model can identify patients who are at a risk for delayed diagnosed injuries and who should undergo an intensified search for potential unidentified injuries.