Shyam Kelavkar

BACKGROUND: National stroke clinical quality registries/audits support improvements in stroke care. In a 2016 systematic review, 28 registries were identified. Since 2016 there have been important advances in stroke care, including the development of thrombectomy services. Therefore, we sought to understand whether registries have evolved with these advances in care. The aim of this systematic review was to identify current, hospital-based national stroke registries/audits and describe variables (processes, outcome), methods, funding and governance). METHODS: We searched four databases (21st May 2015 to 1st February 2024), grey literature and stroke organisations' websites. Initially two reviewers screened each citation; when agreement was satisfactory, one of four reviewers screened each citation. The same process was applied to full texts. If there were no new publications from registries identified in the original 2016 review, we contacted the registry leads. We extracted data using predefined categories on country (including income level), clinical/process variables, methods, funding and governance. RESULTS: We found 37 registries from 31 countries (28 high income, four upper-middle income, five lower-middle income) of which 16 had been identified in 2016 and 21 were new. Twenty-two of the same variables were collected by >50% of registries/audits (mostly acute care, including thrombectomy, and secondary prevention), compared with only four variables in 2016. Descriptions of funding, management, methods of consent and data privacy, follow-up, feedback to hospitals, linkage to other datasets and alignment of variables with guidelines were variably reported. Reasons for apparent termination of some registries was unclear. CONCLUSIONS: The total number of stroke registries has increased since 2016, and the number of variables collected has increased, reflecting advances in stroke care. However, some registries appeared to have ceased; the reasons are unclear.

Background: ASPECTS (Alberta Stroke Program Early CT Score) is a validated scoring system for assessment of early ischemic change (EIC) on CT head scans, which can be used to guide patient management and improve diagnostic accuracy. Detection of EIC can be challenging particularly for less experienced clinicians. e-ASPECTS software uses machine learning algorithms to support physicians in detecting EIC, which can be quantified using the ASPECTS score. Hypothesis: e-ASPECTS shortens time for CT scan assessment and improves agreement with reference standard ASPECTS when compared to blinded assessment. Methods: 26 clinicians (including 11 radiologists, 6 junior and 7 consultant stroke physicians, and 2 non-specialist physicians) independently scored 2560 ASPECTS regions from 64 patients for signs of EIC on non-contrast CT brain scans. These were acquired within 4.5 hours of stroke onset. A familiarization training set of 5 patients was used prior to scoring. Images were randomized to manual or software assistance. After two weeks images were rescored using the alternative method. Scorers were blinded to clinical symptoms. Reference standard scores were defined by an independent neuroradiologist with information on clinical symptoms, access to 24h follow-up, and with CT perfusion or MRI scans when available. Results: Mean NIHSS was 11. Mean time to score scans fell by 34% (45s, 2:12 to 1:27, mm:ss) using e-ASPECTS assistance. Rater agreement with ground truth was greatest in the radiologist cohort, but performance improved across all clinician categories using e-APSECTS assistance (radiology kappa: 0.26 to 0.38). Sensitivity to EIC improved by a factor of two across all clinician groups using e-ASPECTS assistance, and this was most marked for less experienced physicians. Conclusion: In acute ischemic stroke e-ASPECTS assisted analysis increased accuracy and reduced time for detection of EIC. Routine assistance of non-contrast CT interpretation has the potential to reduce treatment times and improve accuracy across clinicians and sites.