Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

STROKE

Stroke prediction and the future of prognosis research

In a new study of 1,102 patients, a multi-item prognostic tool has been developed and validated for use in acute stroke. Using a mix of clinical variables (age and stroke severity), a process variable (administration of thrombolysis) and a biomarker (plasma copeptin), the authors were able to predict 3-month disability.

This is a preview of subscription content, access via your institution

Access options

Rent or buy this article

Prices vary by article type

from$1.95

to$39.95

Prices may be subject to local taxes which are calculated during checkout

Fig. 1: Outcome predictions based on the CoRisk score in a hypothetical sample of stroke patients.

References

  1. Drozdowska, B. A., Singh, S. & Quinn, T. J. Thinking about the future: a review of prognostic scales used in acute stroke. Front. Neurol. 10, 274 (2019).

    Article  Google Scholar 

  2. De Marchis, G. M. et al. A novel biomarker-based prognostic score in acute ischemic stroke: the CoRisk score. Neurology 92, e1517–e1525 (2019).

    Article  Google Scholar 

  3. Lipinski, M. J. et al. A systematic review and collaborative meta-analysis to determine the incremental value of copeptin for rapid rule-out of acute myocardial infarction. Am. J. Cardiol. 113, 1581–1591 (2014).

    Article  CAS  Google Scholar 

  4. Ramalho, A. et al. Copeptin predicts long term prognosis in patients with worsening heart failure [abstract P1418]. Eur. J. Heart Fail. 16 (Suppl. 2), 276 (2014).

    Google Scholar 

  5. Steyerberg, E. W. et al. Prognosis research strategy (PROGRESS) 3: prognostic model research. PLOS Med. 10, e1001381 (2013).

    Article  Google Scholar 

  6. Smith, W. S. et al. Brief history of endovascular acute ischaemic stroke treatment. Stroke 47, e23–e36 (2016).

    Article  Google Scholar 

  7. Fahey, M. et al. Clinical prediction models for mortality and functional outcome following ischemic stroke: a systematic review and meta-analysis. PLOS ONE 13, e0185402 (2018).

    Article  Google Scholar 

  8. Ntaios, G. et al. ASTRAL, DRAGON and SEDAN scores predict stroke outcome more accurately than physicians. Eur. J. Neurol. 23, 1651–1657 (2016).

    Article  CAS  Google Scholar 

  9. Quinn, T. J. et al. Validating and comparing stroke prognosis scales. Neurology 89, 997–1002 (2017).

    Article  Google Scholar 

  10. Takwoingi, Y. & Quinn, T. J. Review of Diagnostic Test Accuracy (DTA) studies in older people. Age Ageing 47, 349–355 (2018).

    Article  Google Scholar 

Download references

Acknowledgements

T.J.Q. is supported by a joint Chief Scientist Office and Stroke Association Senior Lectureship, grant reference TSA LECT 2015/05. B.A.D. is supported through the Stroke Association Priority Program Award, grant reference PPA 2015/01_CSO.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Terence J. Quinn.

Ethics declarations

Competing interests

The authors declare no competing interests.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Quinn, T.J., Drozdowska, B.A. Stroke prediction and the future of prognosis research. Nat Rev Neurol 15, 311–312 (2019). https://doi.org/10.1038/s41582-019-0181-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1038/s41582-019-0181-5

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing