Seven-Day NIHSS Is a Sensitive Outcome Measure for Exploratory Clinical Trials in Acute Stroke: Evidence From the Virtual International Stroke Trials Archive
Open accessAbstract
Background and Purpose—: Clinical trials in stroke typically measure outcome after 90 days. Earlier outcome assessment would reduce costs and may increase power. We aimed to compare the sensitivity of 4 end points (modified Rankin Scale [mRS] at 30 and 90 days, and National Institutes of Health Stroke Scale (NIHSS) at 7 and 90 days, analyzed as ordinal measures) to detect the established treatment effect of recombinant tissue-type plasminogen activator (rtPA). Methods—: Within the Virtual International Stroke Trials Archive, we compared rtPA–treated patients with untreated control subjects using a multiple resampling approach. From our total sample we drew 10 000 random samples of unique patients, constraining the sample sizes in treated and untreated groups to be equal. In each of these samples we tested for the treatment effect of rtPA by each of the 4 studied end points. The percentage of samples yielding significant results approximates the power of each end point at a given sample size. This process was repeated across a range of sample sizes, to determine the relationship between sample size and power for each of the 4 end points. Results—: For our 4 end points of mRS at 30 and 90 days, and NIHSS at 7 and 90 days the smallest sample sizes required to generate statistical power >80% were 620, 480, 370, and 420, respectively, making 7-day NIHSS the most sensitive end point. These results were supported by dichotomized analyses. Conclusions—: Seven-day NIHSS score appears a sensitive end point that should be validated in randomized trial datasets for use in exploratory stroke trials.
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Optimized robotic composites with as few as four features increased the effect size over a reference natural history trial by as much as 107% for the training set and 83% for the test set.
“Optimized robotic composites with as few as four features increased the effect size over a reference natural history trial282 by as much as 107% for the training and 83% for the test set.”
From QSAR without borders (2020) · cites this paper as [282]
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Muratov, E. N., Bajorath, J., Sheridan, R. P., Tetko, I. V., Filimonov, D., Poroikov, V., Oprea, T. I., Baskin, I. I., Varnek, A., Roitberg, A., et al. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00098a · Cited by 913 · see citing works
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Krebs, H. I., Krams, M., Agrafiotis, D. K., DiBernardo, A., Chavez, J. C., Littman, G. S., Yang, E., Byttebier, G., Dipietro, L., Rykman, A., et al. (2014) · Stroke · doi:10.1161/strokeaha.113.002296 · Cited by 154 · see citing works
Self-citation
- Authors
- Kerr, D. M., Fulton, R. L., Lees, K. R., & Collaborators, F. T. V.
- Affiliations
- Western Infirmary (GB)
- Venue
- Stroke
- Published
- 2012-05
- Volume
- 43
- Issue
- 5
- Pages
- 1401-1403
- ISSN
- 0039-2499 (ISSN-L)
- 1524-4628
- OpenAlex
- W2068956469
- Cited by
- 93
- References
- 0
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 6 · 2023: 8 · 2022: 7 · 2021: 9 · 2020: 9 · 2019: 9 · 2018: 8 · 2017: 12 · 2016: 4 · 2015: 4 · 2014: 4 · 2013: 6 · 2012: 1
- FWCI
- 3.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Stroke (publishedVersion)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Topics
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- NIHSS, modified Rankin Scale, acute ischemic stroke, sample size, alteplase, Virtual International Stroke Trials Archive
- MeSH terms
- Disability Evaluation, Fibrinolytic Agents, Humans, National Institutes of Health (U.S.), Tissue Plasminogen Activator, Retrospective Studies, Sensitivity and Specificity, Severity of Illness Index, Time Factors, United States, Treatment Outcome, Outcome Assessment, Health Care, Stroke
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