scholarly journals Evaluating the impact of cycle helmet use on severe traumatic brain injury and death in a national cohort of over 11000 pedal cyclists: a retrospective study from the NHS England Trauma Audit and Research Network dataset

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e027845 ◽  
Author(s):  
Nick Dodds ◽  
Rowena Johnson ◽  
Benjamin Walton ◽  
Omar Bouamra ◽  
David Yates ◽  
...  

ObjectivesIn the last 10 years there has been a significant increase in cycle traffic in the UK, with an associated increase in the overall number of cycling injuries. Despite this, and the significant media, political and public health debate into this issue, there remains an absence of studies from the UK assessing the impact of helmet use on rates of serious injury presenting to the National Health Service (NHS) in cyclists.SettingThe NHS England Trauma Audit and Research Network (TARN) Database was interrogated to identify all adult (≥16 years) patients presenting to hospital with cycling-related major injuries, during a period from 14 March 2012 to 30 September 2017 (the last date for which a validated dataset was available).Participants11 192 patients met inclusion criteria. Data on the use of cycling helmets were available in 6621 patients.Outcome measuresTARN injury descriptors were used to compare patterns of injury, care and mortality in helmeted versus non-helmeted cohorts.ResultsData on cycle helmet use were available for 6621 of the 11 192 cycle-related injuries entered onto the TARN Database in the 66 months of this study (93 excluded as not pedal cyclists). There was a significantly higher crude 30-day mortality in un-helmeted cyclists 5.6% (4.8%–6.6%) versus helmeted cyclists 1.8% (1.4%–2.2%) (p<0.001). Cycle helmet use was also associated with a reduction in severe traumatic brain injury (TBI) 19.1% (780, 18.0%–20.4%) versus 47.6% (1211, 45.6%–49.5%) (p<0.001), intensive care unit requirement 19.6% (797, 18.4%–20.8%) versus 27.1% (691, 25.4%–28.9%) (p<0.001) and neurosurgical intervention 2.5% (103, 2.1%–3.1%) versus 8.5% (217, 7.5%–9.7%) (p<0.001). There was a statistically significant increase in chest, spinal, upper and lower limb injury in the helmeted group in comparison to the un-helmeted group (all p<0.001), though in a subsequent analysis of these anatomical injury patterns, those cyclists wearing helmets were still found to have lower rates of TBI. In reviewing TARN injury codes for specific TBI and facial injuries, there was a highly significant decrease in rates of impact injury between cyclists wearing helmets and those not.ConclusionsThis study suggests that there is a significant correlation between use of cycle helmets and reduction in adjusted mortality and morbidity associated with TBI and facial injury.

Author(s):  
Fleur Lorton ◽  
Jeanne Simon-Pimmel ◽  
Damien Masson ◽  
Elise Launay ◽  
Christèle Gras-Le Guen ◽  
...  

AbstractObjectivesTo evaluate the impact of implementing a modified Pediatric Emergency Care Applied Research Network (PECARN) rule including the S100B protein assay for managing mild traumatic brain injury (mTBI) in children.MethodsA before-and-after study was conducted in a paediatric emergency department of a French University Hospital from 2013 to 2015. We retrospectively included all consecutive children aged 4 months to 15 years who presented mTBI and were at intermediate risk for clinically important traumatic brain injury (ciTBI). We compared the proportions of CT scans performed and of in-hospital observations before (2013–2014) and after (2014–2015) implementation of a modified PECARN rule including the S100B protein assay.ResultsWe included 1,062 children with mTBI (median age 4.5 years, sex ratio [F/M] 0.73) who were at intermediate risk for ciTBI: 494 (46.5%) during 2013–2014 and 568 (53.5%) during 2014–2015. During 2014–2015, S100B protein was measured in 451 (79.4%) children within 6 h after mTBI. The proportion of CT scans and in-hospital observations significantly decreased between the two periods, from 14.4 to 9.5% (p=0.02) and 73.9–40.5% (p<0.01), respectively. The number of CT scans performed to identify a single ciTBI was reduced by two-thirds, from 18 to 6 CT scans, between 2013–2014 and 2014–2015. All children with ciTBI were identified by the rules.ConclusionsThe implementation of a modified PECARN rule including the S100B protein assay significantly decreased the proportion of CT scans and in-hospital observations for children with mTBI who were at intermediate risk for ciTBI.


2013 ◽  
Vol 30 (24) ◽  
pp. 2021-2030 ◽  
Author(s):  
Mehdi Moazzez Lesko ◽  
Tom Jenks ◽  
Pablo Perel ◽  
Sarah O'Brien ◽  
Charmaine Childs ◽  
...  

2020 ◽  
pp. 175114372090169
Author(s):  
MJ Rowland ◽  
T Veenith ◽  
C Scomparin ◽  
MH Wilson ◽  
PJ Hutchinson ◽  
...  

Hyperosmolar solutions are widely used to treat raised intracranial pressure following severe traumatic brain injury. Although mannitol has historically been the most frequently administered, hypertonic saline solutions are increasingly being used. However, definitive evidence regarding their comparative effectiveness is lacking. The Sugar or Salt Trial is a UK randomised, allocation concealed open label multicentre pragmatic trial designed to determine the clinical and cost-effectiveness of hypertonic saline compared with mannitol in the management of patients with severe traumatic brain injury. Patients requiring intensive care unit admission and intracranial pressure monitoring post-traumatic brain injury will be allocated at random to receive equi-osmolar boluses of either mannitol or hypertonic saline following failure of routine first-line measures to control intracranial pressure. The primary outcome for the study will be the Extended Glasgow Outcome Scale assessed at six months after randomisation. Results will inform current clinical practice in the routine use of hyperosmolar therapy as well as assess the impact of potential side effects. Pre-planned longer term clinical and cost effectiveness analyses will further inform the use of these treatments.


2008 ◽  
Vol 65 (3) ◽  
pp. 674-677 ◽  
Author(s):  
Kristine OʼPhelan ◽  
David L. McArthur ◽  
Cherylee W. J. Chang ◽  
Deborah Green ◽  
David A. Hovda

2014 ◽  
Vol 208 (6) ◽  
pp. 1071-1077 ◽  
Author(s):  
Corrado P. Marini ◽  
Christy Stoller ◽  
Omar Shah ◽  
Antoni Policastro ◽  
Gary Lombardo ◽  
...  

2010 ◽  
Vol 6 (1) ◽  
pp. 23
Author(s):  
Geon Ho Lee ◽  
Byeong Cheol Rim ◽  
Kyung Soo Min ◽  
Mou Seop Lee ◽  
Young Gyu Kim ◽  
...  

2012 ◽  
Vol 38 (4) ◽  
pp. 259-267 ◽  
Author(s):  
N. Andelic ◽  
A. Anke ◽  
T. Skandsen ◽  
S. Sigurdardottir ◽  
M. Sandhaug ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Frederick A. Zeiler ◽  
Yasser Iturria-Medina ◽  
Eric P. Thelin ◽  
Alwyn Gomez ◽  
Jai J. Shankar ◽  
...  

Despite changes in guideline-based management of moderate/severe traumatic brain injury (TBI) over the preceding decades, little impact on mortality and morbidity have been seen. This argues against the “one-treatment fits all” approach to such management strategies. With this, some preliminary advances in the area of personalized medicine in TBI care have displayed promising results. However, to continue transitioning toward individually-tailored care, we require integration of complex “-omics” data sets. The past few decades have seen dramatic increases in the volume of complex multi-modal data in moderate and severe TBI care. Such data includes serial high-fidelity multi-modal characterization of the cerebral physiome, serum/cerebrospinal fluid proteomics, admission genetic profiles, and serial advanced neuroimaging modalities. Integrating these complex and serially obtained data sets, with patient baseline demographics, treatment information and clinical outcomes over time, can be a daunting task for the treating clinician. Within this review, we highlight the current status of such multi-modal omics data sets in moderate/severe TBI, current limitations to the utilization of such data, and a potential path forward through employing integrative neuroinformatic approaches, which are applied in other neuropathologies. Such advances are positioned to facilitate the transition to precision prognostication and inform a top-down approach to the development of personalized therapeutics in moderate/severe TBI.


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