Predicting outcomes in aneurysmal subarachnoid haemorrhage

Affiliations

¹ Division of Neurosurgery, Hamilton Health Sciences and McMaster University, Hamilton, ON, L8S 4L8, Canada.
² Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada.
³ Division of Neurosurgery, Hamilton Health Sciences and McMaster University, Hamilton, ON, L8S 4L8, Canada almenawers@gmail.com.

Editorial

Siddharth Nath et al. BMJ. 2018.

. 2018 Jan 24:360:k102.

doi: 10.1136/bmj.k102.

¹ Division of Neurosurgery, Hamilton Health Sciences and McMaster University, Hamilton, ON, L8S 4L8, Canada.
² Division of Neurosurgery, University of Toronto, Toronto, Ontario, Canada.
³ Division of Neurosurgery, Hamilton Health Sciences and McMaster University, Hamilton, ON, L8S 4L8, Canada almenawers@gmail.com.

No abstract available

Conflict of interest statement

Competing interests: We have read and understood BMJ policy on declaration of interests and declare the following: none.

Development and validation of outcome prediction models for aneurysmal subarachnoid haemorrhage: the SAHIT multinational cohort study.
Jaja BNR, Saposnik G, Lingsma HF, Macdonald E, Thorpe KE, Mamdani M, Steyerberg EW, Molyneux A, Manoel ALO, Schatlo B, Hanggi D, Hasan D, Wong GKC, Etminan N, Fukuda H, Torner J, Schaller KL, Suarez JI, Stienen MN, Vergouwen MDI, Rinkel GJE, Spears J, Cusimano MD, Todd M, Le Roux P, Kirkpatrick P, Pickard J, van den Bergh WM, Murray G, Johnston SC, Yamagata S, Mayer S, Schweizer TA, Macdonald RL; SAHIT collaboration. Jaja BNR, et al. BMJ. 2018 Jan 18;360:j5745. doi: 10.1136/bmj.j5745. BMJ. 2018. PMID: 29348138