Save
Validation of the Subarachnoid Haemorrhage International Trialists' (SAHIT) score: single centre retrospective cohort comparison study
EANS Academy. Baig Mirza A. Sep 27, 2019; 276140; EP01080
Dr. Asfand Baig Mirza
Dr. Asfand Baig Mirza

Access to this content is reserved for EANS members and attendees of this event. Click here to become an EANS member and gain your access to the full content of the EANS Academy


Abstract
Discussion Forum (0)
Rate & Comment (0)
Objectives: This study attempts to externally validate the SAHIT score (a prognostication score for subarachnoid haemorrhage) using a cohort from a large UK neurovascular centre.
Methods: A retrospective review of prospectively collected data was carried out on all patients above the age of 18 diagnosed with aneurysmal SAH between 2006 and 2017. 1,411 cases were identified. 324 patients, who matched all the SAHIT scoring criteria, were used for this analysis. The analysis was undertaken by an independent statistician (Statsconsultancy Ltd). The pre-defined SAHIT models were evaluated for discrimination and calibration and the predicted probabilities of outcome were compared to the observed ones.
Results: Our study demonstrated poor discrimination for both the morbidity and mortality models. Furthermore, calibration was poor, with the score underestimating both morbidity and mortality.
Conclusion: Our study would suggest that the SAHIT score cannot be used in its present form for generalization to a UK neurovascular practice. Prior to applying such a score in a clinical setting further validation is required against a multicenter cohort, for example, the UK and Ireland Subarachnoid Haemorrhage Database.
Code of conduct/disclaimer available in General Terms & Conditions
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.


Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.



Google Analytics is used for user behavior tracking/reporting. Google Analytics works in parallel and independently from MLG’s features. Google Analytics relies on cookies and these cookies can be used by Google to track users across different platforms/services.


Save Settings