Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2019 Mar 21:10:274.
doi: 10.3389/fneur.2019.00274. eCollection 2019.

Thinking About the Future: A Review of Prognostic Scales Used in Acute Stroke

Affiliations
Review

Thinking About the Future: A Review of Prognostic Scales Used in Acute Stroke

Bogna A Drozdowska et al. Front Neurol. .

Abstract

Background: There are many prognostic scales that aim to predict functional outcome following acute stroke. Despite considerable research interest, these scales have had limited impact in routine clinical practice. This may be due to perceived problems with internal validity (quality of research), as well as external validity (generalizability of results). We set out to collate information on exemplar stroke prognosis scales, giving particular attention to the scale content, derivation, and validation. Methods: We performed a focused literature search, designed to return high profile scales that use baseline clinical data to predict mortality or disability. We described prognostic utility and collated information on the content, development and validation of the tools. We critically appraised chosen scales based on the CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modeling Studies (CHARMS). Results: We chose 10 primary scales that met our inclusion criteria, six of which had revised/modified versions. Most primary scales used 5 input variables (range: 4-13), with substantial overlap in the variables included. All scales included age, eight included a measure of stroke severity, while five scales incorporated pre-stroke level of function (often using modified Rankin Scale), comorbidities and classification of stroke type. Through our critical appraisal, we found issues relating to excluding patients with missing data from derivation studies, and basing the selection of model variable on significance in univariable analysis (in both cases noted for six studies). We identified separate external validation studies for all primary scales but one, with a total of 60 validation studies. Conclusions: Most acute stroke prognosis scales use similar variables to predict long-term outcomes and most have reasonable prognostic accuracy. While not all published scales followed best practice in development, most have been subsequently validated. Lack of clinical uptake may relate more to practical application of scales rather than validity. Impact studies are now necessary to investigate clinical usefulness of existing scales.

Keywords: functional outcome; prognostic scale; risk score; stroke; validation.

PubMed Disclaimer

References

    1. Johnston KC, Wagner DP, Wang XQ, Newman GC, Thijs V, Sen S, et al. . Validation of an acute ischemic stroke model: does diffusion-weighted imaging lesion volume offer a clinically significant improvement in prediction of outcome? Stroke. (2007) 38:1820–5. 10.1161/STROKEAHA.106.479154 - DOI - PubMed
    1. National Institute for Health and Care Excellence Stroke and Transient Ischaemic Attack in Over 16s: Diagnosis and Initial Management. NICE Guidance and Guidelines. (2008). Available online at: https://www.nice.org.uk/guidance/cg68 (Cited August 17, 2018). - PubMed
    1. Counsell C, Dennis M. Systematic review of prognostic models in patients with acute stroke. Cerebrovasc Dis. (2001) 12:159–70. 10.1159/000047699 - DOI - PubMed
    1. Mattishent K, Kwok CS, Mahtani A, Pelpola K, Myint PK, Loke YK. Prognostic indices for early mortality in ischaemic stroke - meta-analysis. Acta Neurol Scand. (2016) 133:41–8. 10.1111/ane.12421 - DOI - PubMed
    1. Teale EA, Forster A, Munyombwe T, Young JB. A systematic review of case-mix adjustment models for stroke. Clin Rehabil. (2012) 26:771–86. 10.1177/0269215511433068 - DOI - PubMed