Back

Dual-outcome Prediction of Post-Ischemic Stroke Epilepsy and Mortality Using Multimodal Quantitative Biomarkers

Chen, Y.; Soto, A.; Sudhakar, T.; Zubair, A. S.; Sun, H.; Jing, J.; Ge, W.; Loman, L.; Sivaraju, A.; Petersen, N. H.; Hirsch, L. J.; Blumenfeld, H.; Zafar, S. F.; Struck, A.; Sheth, K. N.; Gilmore, E.; Westover, M. B.; Kim, J. A.

2025-09-27 neurology
10.1101/2025.09.22.25335736 medRxiv
Show abstract

Background and ObjectivesPost-ischemic stroke epilepsy (PISE) reduces quality of life, and early risk prediction can guide prevention strategies and anti-epileptogenesis treatment trials. Stroke severity predicts both PISE and mortality, and ignoring mortality can overestimate epilepsy risk. We sought to enhance PISE risk stratification by modeling death as a competing outcome, integrating quantitative clinical, neuroimaging, and electroencephalography (EEG) biomarkers to distinguish shared and distinct predictors of epilepsy and mortality. MethodsWe developed a PISE prediction model using retrospective data from Yale-New Haven Hospital. The training cohort included patients from 2014-2020; the testing cohort from 2021-2022. Eligible patients were adults with acute ischemic stroke who underwent neuroimaging and EEG monitoring <7 days post-stroke and had follow-up >7 days. ResultsOf 280 patients, 53 developed PISE first, 104 died first, and the rest were censored. Quantitative PISE biomarkers included greater 72h stroke severity (HR{Delta}3 [95%CI], 1.2 [1.1-1.4]), infarct volume (HR{Delta}10mL, 1.06 [1.04-1.08]), EEG epileptiform abnormality burden (HR{Delta}10%, 1.2 [1.1-1.3]), and EEG power asymmetries (HR{Delta}10%, 2.0 [1.4-2.9]). Death predictors included older age (HR{Delta}10years, 1.7 [1.4-2.0]), worse pre-stroke functional status (HR, 1.4 [1.2-1.7]), atrial fibrillation history (HR, 2.4 [1.6-3.7]), cardioembolism etiology (HR, 1.9 [1.2-3.0]), anterior cerebral artery involvement (HR, 2.2 [1.2-3.7]), and greater EEG global theta-band powers (HR{Delta}10{micro}V, 6.2 [2.3-17]). Our model, CRIMEPISE, integrating these features, allows prediction of PISE-first and death-first risk scores with AUC of 0.72 (95%CI, 0.60-0.83) and 0.79 (0.72-0.85), respectively. Compared with the benchmark SeLECT model, CRIMEPISE better predicted PISE in patients with [&ge;]4 SeLECT points (AUC, 0.72 vs 0.58) but not those with <4 points (AUC, 0.33 vs 0.52). In the testing cohort, CRIMEPISE identified a more selective group (n=18 vs 44 per SeLECT) with a higher PISE rate (39% vs 20%) and a lower mortality rate (22% vs 45%). DiscussionCRIMEPISE enhances PISE prediction by accounting for mortality as a competing outcome and incorporating multimodal quantitative biomarkers. Because its benefits over SeLECT are most pronounced in high-risk patients, a two-stage approach--SeLECT screening followed by CRIMEPISE in SeLECT-positive cases--may better target candidates for anti-epileptogenesis trials by prioritizing patients likely to survive long-term and develop epilepsy.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Annals of Neurology
57 papers in training set
Top 0.1%
25.9%
2
Brain
154 papers in training set
Top 0.2%
17.5%
3
Epilepsia
49 papers in training set
Top 0.2%
14.3%
50% of probability mass above
4
Epilepsia Open
14 papers in training set
Top 0.1%
6.8%
5
Neurology
44 papers in training set
Top 0.3%
4.3%
6
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 0.2%
4.0%
7
BMC Medicine
163 papers in training set
Top 3%
1.9%
8
Brain Communications
147 papers in training set
Top 1%
1.9%
9
NeuroImage: Clinical
132 papers in training set
Top 3%
1.2%
10
Science Translational Medicine
111 papers in training set
Top 4%
0.9%
11
Neurobiology of Disease
134 papers in training set
Top 4%
0.9%
12
Annals of Clinical and Translational Neurology
29 papers in training set
Top 1.0%
0.9%
13
Epilepsy & Behavior
12 papers in training set
Top 0.3%
0.9%
14
Scientific Reports
3102 papers in training set
Top 71%
0.9%
15
PLOS ONE
4510 papers in training set
Top 64%
0.9%
16
Genome Medicine
154 papers in training set
Top 8%
0.7%
17
Nature Communications
4913 papers in training set
Top 63%
0.7%
18
Circulation
66 papers in training set
Top 2%
0.7%
19
Communications Medicine
85 papers in training set
Top 1%
0.7%
20
Journal of Clinical Investigation
164 papers in training set
Top 7%
0.7%
21
Clinical Neurophysiology
50 papers in training set
Top 0.7%
0.7%
22
Neurocritical Care
11 papers in training set
Top 0.5%
0.6%
23
European Journal of Neurology
20 papers in training set
Top 0.8%
0.6%
24
Epilepsy Research
12 papers in training set
Top 0.3%
0.6%
25
eBioMedicine
130 papers in training set
Top 5%
0.6%