Incidence of intracranial bleeding in anticoagulated patients with minor head injury: a systematic review and meta-analysis of prospective studies.
Hersimren MinhasArthur WelsherMichelle TurcotteMichelle EventovSuzanne MasonDaniel K NishijimaGrégoire VersméeMeirui LiKerstin de WitPublished in: British journal of haematology (2018)
Guidelines advise performing a computed tomography head scan for all anticoagulated head injured patients, but the risk of intracranial haemorrhage (ICH) after a minor head injury is unclear. We conducted a systematic review and meta-analysis to determine the incidence of ICH in anticoagulated patients presenting with a minor head injury and a Glasgow Coma Score (GCS) of 15. We followed Meta-Analyses and Systematic Reviews of Observational Studies guidelines. We included all prospective studies recruiting consecutive anticoagulated emergency patients presenting with a head injury. Anticoagulation included vitamin-K antagonists (warfarin, fluindione), direct oral anticoagulants (apixaban, rivaroxaban, dabigatran and edoxaban) and low molecular weight heparin. A total of five studies (including 4080 anticoagulated patients with a GCS of 15) were included in the analysis. The majority of patients took vitamin K antagonists (98·3%). There was significant heterogeneity between studies with regards to mechanism of injury and methods. The random effects pooled incidence of ICH was 8·9% (95% confidence interval 5·0-13·8%). In conclusion, around 9% of patients on vitamin K antagonists with a minor head injury develop ICH. There is little data on the risk of traumatic intracranial bleeding in patients who have a GSC 15 post-head injury and are prescribed a direct oral anticoagulant.
Keyphrases
- atrial fibrillation
- venous thromboembolism
- end stage renal disease
- optic nerve
- computed tomography
- chronic kidney disease
- ejection fraction
- newly diagnosed
- systematic review
- magnetic resonance imaging
- risk factors
- emergency department
- randomized controlled trial
- spinal cord injury
- public health
- magnetic resonance
- clinical trial
- machine learning
- positron emission tomography
- artificial intelligence
- case control
- electronic health record
- oral anticoagulants
- image quality