Development of imaging-based risk scores for prediction of intracranial haemorrhage and ischaemic stroke in patients taking antithrombotic therapy after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies.

Best, Jonathan G; Ambler, Gareth; Wilson, Duncan; Lee, Keon-Joo; Lim, Jae-Sung; Shiozawa, Masayuki; Koga, Masatoshi; Li, Linxin; Lovelock, Caroline; Chabriat, Hugues; Hennerici, Michael; Wong, Yuen Kwun; Mak, Henry Ka Fung; Prats-Sanchez, Luis; Martínez-Domeño, Alejandro; Inamura, Shigeru; Yoshifuji, Kazuhisa; Arsava, Ethem Murat; Horstmann, Solveig; Purrucker, Jan; ... (2021). Development of imaging-based risk scores for prediction of intracranial haemorrhage and ischaemic stroke in patients taking antithrombotic therapy after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies. The lancet. Neurology, 20(4), pp. 294-303. Elsevier 10.1016/S1474-4422(21)00024-7

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BACKGROUND

Balancing the risks of recurrent ischaemic stroke and intracranial haemorrhage is important for patients treated with antithrombotic therapy after ischaemic stroke or transient ischaemic attack. However, existing predictive models offer insufficient performance, particularly for assessing the risk of intracranial haemorrhage. We aimed to develop new risk scores incorporating clinical variables and cerebral microbleeds, an MRI biomarker of intracranial haemorrhage and ischaemic stroke risk.

METHODS

We did a pooled analysis of individual-patient data from the Microbleeds International Collaborative Network (MICON), which includes 38 hospital-based prospective cohort studies from 18 countries. All studies recruited participants with previous ischaemic stroke or transient ischaemic attack, acquired baseline MRI allowing quantification of cerebral microbleeds, and followed-up participants for ischaemic stroke and intracranial haemorrhage. Participants not taking antithrombotic drugs were excluded. We developed Cox regression models to predict the 5-year risks of intracranial haemorrhage and ischaemic stroke, selecting candidate predictors on biological relevance and simplifying models using backward elimination. We derived integer risk scores for clinical use. We assessed model performance in internal validation, adjusted for optimism using bootstrapping. The study is registered on PROSPERO, CRD42016036602.

FINDINGS

The included studies recruited participants between Aug 28, 2001, and Feb 4, 2018. 15 766 participants had follow-up for intracranial haemorrhage, and 15 784 for ischaemic stroke. Over a median follow-up of 2 years, 184 intracranial haemorrhages and 1048 ischaemic strokes were reported. The risk models we developed included cerebral microbleed burden and simple clinical variables. Optimism-adjusted c indices were 0·73 (95% CI 0·69-0·77) with a calibration slope of 0·94 (0·81-1·06) for the intracranial haemorrhage model and 0·63 (0·62-0·65) with a calibration slope of 0·97 (0·87-1·07) for the ischaemic stroke model. There was good agreement between predicted and observed risk for both models.

INTERPRETATION

The MICON risk scores, incorporating clinical variables and cerebral microbleeds, offer predictive value for the long-term risks of intracranial haemorrhage and ischaemic stroke in patients prescribed antithrombotic therapy for secondary stroke prevention; external validation is warranted.

FUNDING

British Heart Foundation and Stroke Association.

Item Type:

Journal Article (Review Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology

UniBE Contributor:

Seiffge, David Julian; Fischer, Urs; El-Koussy, Marwan and Jung, Simon

Subjects:

600 Technology > 610 Medicine & health

ISSN:

1474-4465

Publisher:

Elsevier

Language:

English

Submitter:

Martin Zbinden

Date Deposited:

06 May 2021 13:50

Last Modified:

07 May 2021 03:32

Publisher DOI:

10.1016/S1474-4422(21)00024-7

PubMed ID:

33743239

BORIS DOI:

10.48350/155898

URI:

https://boris.unibe.ch/id/eprint/155898

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