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06-09-2024 | Cerebral Ischemia | Original Article

Heterogeneity in measurement of NIHSS: a systematic review and meta-analysis

Authors: Gianluca De Rubeis, Seemant Chaturvedi, Hooman Kamel, James Meschia, Enrico Pampana, Luca Saba

Published in: Neurological Sciences

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Abstract

Background

The National Institutes of Health Stroke Scale (NIHSS) is a pivotal clinical tool used to assess patients with acute stroke. However, substantial heterogeneity in the application and interpretation of stroke scale items can occur. This systematic review aimed to elucidate heterogeneity in measuring the NIHSS.

Material and methods

A literature search was performed on PubMed/OVID/Cochran's CENTRAL from inception to 2023. The references of the included papers were reviewed for further eligible articles. Clinical characteristic, NIHSS values, and sources of heterogeneity were recorded. Non-human and non-English language articles were excluded. The study quality was assessed using MINORS and GRADE. Meta-analysis and meta-regression were performed using a random-effects model to explore the sources of heterogeneity.

Results

Twenty-one papers for a total of 818 patients (mean per study: 39 ± 37) and 9696 NIHSS examinations (median per study: 8 [CI95% 2 to 42]) were included. Motor function had a higher ICC agreement (ranging from 0.85 [“Right Leg”] to 0.90 [“Right Arm”]) compared to the remaining items (ranging from 0.58 [“Facial Palsy”] to 0.85 [“Level of consciousness commands”]. The meta-regression showed a low effect size of covariates such as language version, remote evaluation, and retrospective analysis on NIHSS items (e.g., for “Level of consciousness commands,” language effect was 0.30 [CI95% 0.20 to 0.48] and for “Visual”, the retrospective assessment effect was -0.27 [CI95% -0.51 to -0.03]).

Conclusion

The NIHSS scores showed moderate to excellent inter-rater agreement, with the highest heterogeneity in non-motor function evaluation. Using a non-English version, remote evaluation and retrospective analysis had small effects in terms of heterogeneity in the NIHSS scores.
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Metadata
Title
Heterogeneity in measurement of NIHSS: a systematic review and meta-analysis
Authors
Gianluca De Rubeis
Seemant Chaturvedi
Hooman Kamel
James Meschia
Enrico Pampana
Luca Saba
Publication date
06-09-2024
Publisher
Springer International Publishing
Published in
Neurological Sciences
Print ISSN: 1590-1874
Electronic ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-024-07733-z

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