Article Text
Abstract
Background Recent studies have shown that follow-up head CT is a strong predictor of functional outcomes in patients with middle cerebral artery stroke and mechanical thrombectomy. We sought to determine whether total and/or regional follow-up Alberta Stroke Program Early CT Score (ASPECTSfu) are associated with important clinical outcomes during hospitalization and improve the performance of clinical prediction models of potentially lethal malignant edema (PLME).
Methods We conducted a retrospective study of patients at three medical centers in a major North American metropolitan area with baseline and follow-up head CTs after large middle cerebral artery stroke between 2006 and 2022. We used multivariable logistic regression to test the association of total and regional ASPECTSfu with PLME (cerebral edema related death or surgery), adjusting for total baseline ASPECTS, age, sex, admission glucose, tissue plasminogen activator, and mechanical thrombectomy. We compared existing clinical risk models with and without total or regional ASPECTSfu using area under the curve.
Results In our 560 patient cohort, lower total ASPECTSfu was significantly associated with higher odds of PLME when adjusting for confounders (OR 1.69, 95% CI 1.49 to 2.0), and improved model discrimination compared with existing models and models using baseline ASPECTS. Deep territory involvement (OR 2.46, 95% CI 1.53 to 4.01) and anterior territory involvement (OR 3.23, 95% CI 1.88 to 5.71) were significantly associated with PLME.
Conclusions Lower ASPECTSfu and certain locations on regional ASPECTSfu, including deep and anterior areas, were significantly associated with PLME. Including ASPECTSfu information improved discrimination of established edema prediction models and could be used immediately to help facilitate clinical management decisions and prognostication.
- Brain
- CT
- Stroke
Data availability statement
Data are available upon reasonable request. Deidentified data are available upon request and establishment of a data use agreement. Please email the corresponding author for access.
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Footnotes
RS and SC are joint first authors.
Contributors CJO, SKF, and SMS conceived the idea of the presented analyses and designed the overall study. RS, SC, ISYK, YZ, and AR organized and collected the patient data for analysis. RS, ISYK, CJO, SC, and AR performed manual reviews of patient notes to extract various features, such as stroke onset times, medications, procedures, and outcomes. BB developed code for automated feature extraction from radiology reports. AM and MA provided oversight and guidance on radiographic image measurements. RS, SC, BB, and CJO manually reviewed the radiographic images to measure swelling and determine radiographic outcomes. RS and YZ performed statistical analysis and interpretation. BB, AM, MA, DMG, SMS, SKF, JD, and CJO provided oversight and review of the statistical analysis. RS, SC, and CJO drafted the manuscript. BB, AM, MA, SMS, SKF, JD, and DMG helped with reviews and revisions. CJO provided overall study direction and critical review. All authors contributed to the article and approved the submitted version. CJO is the guarantor.
Funding NIH/NINDS K23NS116033 supported this work. The study sponsor had no role in study design; collection, analysis, interpretation of the data; writing of this manuscript; or decision to submit the paper for publication.
Competing interests None declared.
Provenance and peer review Not commissioned; externally peer reviewed.
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