Head injuries: a prospective observational study evaluating the potential impact of the Galasko report on Accident and Emergency departments

Injury ◽  
2003 ◽  
Vol 34 (11) ◽  
pp. 853-856 ◽  
Author(s):  
M.A Chaudhry ◽  
T Santarius ◽  
L Wilson ◽  
A.F MacNamara ◽  
C Park ◽  
...  
BMJ Open ◽  
2015 ◽  
Vol 5 (2) ◽  
pp. e006623-e006623 ◽  
Author(s):  
S. Nakao ◽  
A. Kimura ◽  
Y. Hagiwara ◽  
K. Hasegawa ◽  

1998 ◽  
Vol 43 (5) ◽  
pp. 139-140 ◽  
Author(s):  
A.C. McGuffie ◽  
M.O. Fitzpatrick ◽  
D. Hall

Head injury is a major cause of morbidity in Western society and sport related incidents account for approximately 11% of all head injured patients attending Accident and Emergency Departments. 1 Golf was shown to be one of the sports most commonly associated with head injury requiring referral to a regional neurosurgical centre.2 Previous studies have demonstrated that it is predominantly children who sustain golf related head injuries which present either to an accident and emergency department3 or a regional neurosurgical centre.2 This study examines the number and pattern of golf related head injuries in children presenting to an accident and emergency department or requiring admission to the regional neurosurgical centre, over a three month period.


1990 ◽  
Vol 44 (2) ◽  
pp. 147-151 ◽  
Author(s):  
M Brookes ◽  
R MacMillan ◽  
S Cully ◽  
E Anderson ◽  
S Murray ◽  
...  

Author(s):  
Franz E. Babl ◽  
Vanessa C. Rausa ◽  
Meredith L. Borland ◽  
Amit Kochar ◽  
Mark D. Lyttle ◽  
...  

OBJECTIVE Children with concussion frequently present to emergency departments (EDs). There is limited understanding of the differences in signs, symptoms, and epidemiology of concussion based on patient age. Here, the authors set out to assess the association between age and acute concussion presentations. METHODS The authors conducted a multicenter prospective observational study of head injuries at 10 EDs in Australia and New Zealand. They identified children aged 5 to < 18 years, presenting with a Glasgow Coma Scale score of 13–15, presenting < 24 hours postinjury, with no abnormalities on CT if performed, and one or more signs or symptoms of concussion. They extracted demographic, injury-related, and signs and symptoms information and stratified it by age group (5–8, 9–12, 13 to < 18 years). RESULTS Of 8857 children aged 5 to < 18 years, 4709 patients met the defined concussion criteria (5–8 years, n = 1546; 9–12 years, n = 1617; 13 to < 18 years, n = 1546). The mean age of the cohort was 10.9 years, and approximately 70% of the patients were male. Sport-related concussion accounted for 43.7% of concussions overall, increasing from 19.1% to 48.9% to 63.0% in the 5–8, 9–12, and 13 to < 18 years age groups. The most common acute symptoms postinjury were headache (64.6%), disorientation (36.2%), amnesia (30.0%), and vomiting (27.2%). Vomiting decreased with increasing age and was observed in 41.7% of the 5–8 years group, 24.7% of the 9–12 years group, and 15.4% of the 13 to < 18 years group, whereas reported loss of consciousness (LOC) increased with increasing age, occurring in 9.6% in the 5–8 years group, 21.0% in the 9–12 years group, 36.7% in the 13 to < 18 years group, and 22.4% in the entire study cohort. Headache, amnesia, and disorientation followed the latter trajectory. Symptom profiles were broadly similar between males and females. CONCLUSIONS Concussions presenting to EDs were more sports-related as age increased. Signs and symptoms differed markedly across age groups, with vomiting decreasing and headache, LOC, amnesia, and disorientation increasing with increasing age.


2020 ◽  
pp. archdischild-2020-319794
Author(s):  
Nienke N Hagedoorn ◽  
Dorine Borensztajn ◽  
Ruud Gerard Nijman ◽  
Daan Nieboer ◽  
Jethro Adam Herberg ◽  
...  

ObjectivesTo develop and cross-validate a multivariable clinical prediction model to identify invasive bacterial infections (IBI) and to identify patient groups who might benefit from new biomarkers.DesignProspective observational study.Setting12 emergency departments (EDs) in 8 European countries.PatientsFebrile children aged 0–18 years.Main outcome measuresIBI, defined as bacteraemia, meningitis and bone/joint infection. We derived and cross-validated a model for IBI using variables from the Feverkidstool (clinical symptoms, C reactive protein), neurological signs, non-blanching rash and comorbidity. We assessed discrimination (area under the receiver operating curve) and diagnostic performance at different risk thresholds for IBI: sensitivity, specificity, negative and positive likelihood ratios (LRs).ResultsOf 16 268 patients, 135 (0.8%) had an IBI. The discriminative ability of the model was 0.84 (95% CI 0.81 to 0.88) and 0.78 (95% CI 0.74 to 0.82) in pooled cross-validations. The model performed well for the rule-out threshold of 0.1% (sensitivity 0.97 (95% CI 0.93 to 0.99), negative LR 0.1 (95% CI 0.0 to 0.2) and for the rule-in threshold of 2.0% (specificity 0.94 (95% CI 0.94 to 0.95), positive LR 8.4 (95% CI 6.9 to 10.0)). The intermediate thresholds of 0.1%–2.0% performed poorly (ranges: sensitivity 0.59–0.93, negative LR 0.14–0.57, specificity 0.52–0.88, positive LR 1.9–4.8) and comprised 9784 patients (60%).ConclusionsThe rule-out threshold of this model has potential to reduce antibiotic treatment while the rule-in threshold could be used to target treatment in febrile children at the ED. In more than half of patients at intermediate risk, sensitive biomarkers could improve identification of IBI and potentially reduce unnecessary antibiotic prescriptions.


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