Abstract
Objectives
After an acute ischemic stroke, patients with a large CT perfusion (CTP) predicted infarct core (pIC) have poor clinical outcome. However, previous research suggests that this relationship may be relevant for subgroups of patients determined by pretreatment and treatment-related variables while negligible for others. We aimed to identify these variables.
Methods
We included a cohort of 828 patients with acute proximal carotid arterial occlusions imaged with a whole-brain CTP within 8 h from stroke onset. pIC was computed on CTP Maps (cerebral blood flow < 30%), and poor clinical outcome was defined as a 90-day modified Rankin Scale score > 2. Potential mediators of the association between pIC and clinical outcome were evaluated through first-order and advanced interaction analyses in the derivation cohort (n = 654) for obtaining a prediction model. The derived model was further validated in an independent cohort (n = 174).
Results
The volume of pIC was significantly associated with poor clinical outcome (OR = 2.19, 95% CI = 1.73 – 2.78, p < 0.001). The strength of this association depended on baseline National Institute of Health Stroke Scale, glucose levels, the use of thrombectomy, and the interaction of age with thrombectomy. The model combining these variables showed good discrimination for predicting clinical outcome in both the derivation cohort and validation cohorts (area under the receiver operating characteristic curve 0.780 (95% CI = 0.746–0.815) and 0.782 (95% CI = 0.715–0.850), respectively).
Conclusions
In patients imaged within 8 h from stroke onset, the association between pIC and clinical outcome is significantly modified by baseline and therapeutic variables. These variables deserve consideration when evaluating the prognostic relevance of pIC.
Key Points
•The volume of CT perfusion (CTP) predicted infarct core (pIC) is associated with poor clinical outcome in acute ischemic stroke imaged within 8 h of onset.
•The relationship between pIC and clinical outcome may be modified by baseline clinical severity, glucose levels, thrombectomy use, and the interaction of age with thrombectomy.
•CTP pIC should be evaluated in an individual basis for predicting clinical outcome in patients imaged within 8 h from stroke onset.
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Abbreviations
- AAI:
-
Advanced analysis of interaction
- ASPECTS:
-
Alberta Stroke Program Early CT Score
- AUC-ROC:
-
Area under the receiver operating characteristic curve
- CV:
-
Cross-validation
- CTP:
-
CT perfusion
- ICA-T:
-
Internal carotid artery terminal segment
- IVT:
-
Intravenous treatment
- MT:
-
Mechanical thrombectomy
- mRS:
-
Modified Rankin Scale score
- mTICI:
-
Modified thrombolysis in cerebral infarction
- NIHSS:
-
National Institute of Health Stroke Scale
- PO:
-
Poor outcome
- pIC:
-
Predicted infarct core
- rCBF:
-
Relative cerebral blood flow threshold
- SE:
-
Standard error
- TOAST:
-
Trial of Org 10 172 in acute stroke treatment
- VAR:
-
Variance
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Acknowledgements
This work was partially developed at the building Centro Esther Koplowitz, Barcelona, CERCA Programme / Generalitat de Catalunya.
Funding
This study has received funding from Instituto de Salud Carlos III (ISCIII) and was co-funded by the European Regional Development Fund. CL and SR receive funding from ISCIII (PFIS-FI16/00231, CM18/00116) and JCP from MCIU (PTA2017-13580-I).
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The scientific guarantor of this publication is Sergio Amaro, MD, PhD.
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The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
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Two of the authors have significant statistical expertise.
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Written informed consent was waived by the Institutional Review Board.
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Methodology
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Retrospective
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Cross-sectional study
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Performed at one institution
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Laredo, C., Solanes, A., Renú, A. et al. Clinical and therapeutic variables may influence the association between infarct core predicted by CT perfusion and clinical outcome in acute stroke. Eur Radiol 32, 4510–4520 (2022). https://doi.org/10.1007/s00330-022-08590-0
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DOI: https://doi.org/10.1007/s00330-022-08590-0