Neurological intervention transition model for dynamic prediction of good outcome in spontaneous subarachnoid haemorrhage.

ABSTRACT: Deterioration of neurovascular conditions can be rapid in patients with spontaneous subarachnoid haemorrhage (SAH) and often lead to poor clinical outcomes. Therefore, it is crucial to promptly assess and continually track the progression of the disease. This study incorporated baseline clinical conditions, repeatedly measured neurological grades and haematological biomarkers for dynamic outcome prediction in patients with spontaneous SAH. Neurological intervention, mainly aneurysm clipping and endovascular embolisation, was also incorporated as an intermediate event in developing a neurological intervention transition (NIT) joint model. A retrospective cohort study was performed on 701 patients in spontaneous SAH with a study period of 14 days from the MIMIC-IV dataset. A dynamic prognost

SUBMITTER: Luo Y 

PROVIDER: S-EPMC10796364 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature