Impact of 24-hour specialist coverage and an on-site CT scanner on the timely diagnosis of acute aortic dissection.

INTRODUCTION: Acute aortic dissection (AAD) is a rare and potentially fatal condition that has been known to be missed in diagnoses. Our primary objective was to determine if the availability of 24-hour emergency department (ED) specialist coverage and an on-site computed tomography (CT) scanner reduced the rate of missed diagnoses of AAD. METHODS: We selected records of patients diagnosed with dissection of the aorta from a hospital's discharge database and death register in the period of January 1998 to December 2014. AAD was defined as missed if imaging to diagnose AAD or a cardiology/cardiothoracic surgical consultation was not obtained in the ED. We compared the rates of missed diagnosis before and after the availability of 24-hour ED specialist coverage and an on-site CT scanner in the ED. RESULTS: Among 145 patients, 42 (29.0%) had a missed diagnosis. The proportion of missed AAD was lower in the post-implementation period compared to the pre-implementation period (20.0% vs. 37.3%, odds ratio [OR] 0.42, 95% confidence interval [CI] 0.20‒0.89; p = 0.023). After adjusting for confounders, the difference remained significant (OR 0.31, 95% CI 0.14‒0.70; p = 0.005). In the post-implementation period, concurrent signs of congestive cardiac failure (OR 33.51, 95% CI 1.42‒789.20; p = 0.024) and absence of a widened mediastinum on chest radiography (OR 11.52, 95% CI 1.37‒96.80; p = 0.029) were independent predictors of missed diagnoses. CONCLUSION: The availability of 24-hour ED specialist coverage and an on-site CT scanner improved the diagnosis of AAD in our study.

Clinical Decision Rules for Paediatric Minor Head Injury: Are CT Scans a Necessary Evil?

INTRODUCTION: High performing clinical decision rules (CDRs) have been derived to predict which head-injured child requires a computed tomography (CT) of the brain. We set out to evaluate the performance of these rules in the Singapore population. MATERIALS AND METHODS: This is a prospective observational cohort study of children aged less than 16 who presented to the emergency department (ED) from April 2014 to June 2014 with a history of head injury. Predictor variables used in the Canadian Assessment of Tomography for Childhood Head Injury (CATCH), Children's Head Injury Algorithm for the Prediction of Important Clinical Events (CHALICE) and Pediatric Emergency Care Applied Research Network (PECARN) CDRs were collected. Decisions on CT imaging and disposition were made at the physician's discretion. The performance of the CDRs were assessed and compared to current practices. RESULTS: A total of 1179 children were included in this study. Twelve (1%) CT scans were ordered; 6 (0.5%) of them had positive findings. The application of the CDRs would have resulted in a significant increase in the number of children being subjected to CT (as follows): CATCH 237 (20.1%), CHALICE 282 (23.9%), PECARN high- and intermediate-risk 456 (38.7%), PECARN high-risk only 45 (3.8%). The CDRs demonstrated sensitivities of: CATCH 100% (54.1 to 100), CHALICE 83.3% (35.9 to 99.6), PECARN 100% (54.1 to 100), and specificities of: CATCH 80.3% (77.9 to 82.5), CHALICE 76.4% (73.8 to 78.8), PECARN high- and intermediate-risk 61.6% (58.8 to 64.4) and PECARN high-risk only 96.7% (95.5 to 97.6). CONCLUSION: The CDRs demonstrated high accuracy in detecting children with positive CT findings but direct application in areas with low rates of significant traumatic brain injury (TBI) is likely to increase unnecessary CT scans ordered. Clinical observation in most cases may be a better alternative.

Body Mass Changes Across a Variety of Running Race Distances in the Tropics.

BACKGROUND: Current literature evaluating body mass (BM) changes across a variety of running race distances is limited. The primary objective of this study was to profile the range of BM changes across race distances. The secondary objective was to evaluate the prevalence of exercise-associated hyponatremia (EAH) in runners admitted to the on-site medical tent following participation of race events of different distances. METHODS: A total of 1934 runners across seven footrace categories (10-, 21-, 25-, 42-, 50-, 84-, and 100-km) were included in the study. One thousand eight hundred eighty-seven runners had their BM measured before and after each race. Blood sodium concentrations were measured from the remaining 47 symptomatic runners admitted to the on-site medical tents and did not complete the race. RESULTS: In terms of hydration status, 106 (6 %) were overhydrated, 1377 (73 %) were euhydrated, and 404 (21 %) were dehydrated. All race distances exhibited similar percentage of overhydrated runners (5 % in 10 km, 3 % in 21 km, 5 % in 25 km, 6 % in 42 km, 8 % in 50 km, 7 % in 84 km, and 6 % in 100 km). Forty-seven runners were admitted to the medical tents. Eight (17 %) were diagnosed with EAH (4 from 42 km, 2 from 84 km, 2 from 100 km), 38 (81 %) were normonatremic, and 1 (2 %) was hypernatremic. The % ΔBM across all races ranged from -8.0 to 4.1 % with a greater decrement noted in the 42-, 50-, 84-, and 100-km categories. CONCLUSIONS: Approximately 3-8 % runners had increased post-race BM, suggesting overhydration regardless of race distance. Symptomatic EAH was seen at race distances at or above 42 km, where BM changes demonstrated the widest range of values.