Prehospital identification of intracerebral haemorrhage: a scoping review of early clinical features and portable devices

• Published in: BMJ open Vol. 14; no. 4; p. e079316
• Main Authors: Almubayyidh, Mohammed, Alghamdi, Ibrahim, Parry-Jones, Adrian Robert, Jenkins, David
• Format: Journal Article
• Language: English
• Published: England British Medical Journal Publishing Group 19.04.2024; BMJ Publishing Group LTD; BMJ Publishing Group
• Series: Original research
• Subjects: accident & emergency medicine; Accuracy; Brain Ischemia; Cerebral Hemorrhage - diagnostic imaging; Emergency Medical Services; Emergency Medicine; Hemorrhage; Humans; Patients; Primary care; Stroke; Stroke - diagnosis; stroke medicine; accident & emergency medicine; stroke medicine; stroke
• ISSN: 2044-6055; 2044-6055
• DOI: 10.1136/bmjopen-2023-079316

IntroductionPrehospital identification of intracerebral haemorrhage (ICH) in suspected stroke cases may enable the initiation of appropriate treatments and facilitate better-informed transport decisions. This scoping review aims to examine the literature to identify early clinical features and portable devices for the detection of ICH in the prehospital setting.MethodsThree databases were searched via Ovid (MEDLINE, EMBASE and CENTRAL) from inception to August 2022 using prespecified search strategies. One reviewer screened all titles, abstracts and full-text articles for eligibility, while a second reviewer independently screened 20% of the literature during each screening stage. Data extracted were tabulated to summarise the key findings.ResultsA total of 6803 articles were screened for eligibility, of which 22 studies were included for analysis. Among them, 15 studies reported on early clinical features, while 7 considered portable devices. Associations between age, sex and comorbidities with the presence of ICH varied across studies. However, most studies reported that patients with ICH exhibited more severe neurological deficits (n=6) and higher blood pressure levels (n=11) at onset compared with other stroke and non-stroke diagnoses. Four technologies were identified for ICH detection: microwave imaging technology, volumetric impedance phase shift spectroscopy, transcranial ultrasound and electroencephalography. Microwave and ultrasound imaging techniques showed promise in distinguishing ICH from other diagnoses.ConclusionThis scoping review has identified potential clinical features for the identification of ICH in suspected stroke patients. However, the considerable heterogeneity among the included studies precludes meta-analysis of available data. Moreover, we have explored portable devices to enhance ICH identification. While these devices have shown promise in detecting ICH, further technological development is required to distinguish between stroke subtypes (ICH vs ischaemic stroke) and non-stroke diagnoses.