Accuracy of the iScore Stroke Prediction Tool
The iScore demonstrates excellent accuracy for predicting stroke outcomes, with observed versus predicted outcomes showing correlations of 0.94-0.99 across multiple validation studies, and consistently outperforms expert clinician judgment. 1, 2
Performance Characteristics
Superior to Clinical Judgment
- In the JURaSSiC study comparing 111 stroke experts to the iScore, clinicians accurately predicted death or disability at discharge in only 16.9% of cases, while 90% of iScore-based estimates fell within the 95% confidence interval of observed outcomes 1
- Nearly half (48%) of expert clinicians could not accurately predict outcomes in any of 5 test cases, and none accurately predicted all 5 cases 1
- The iScore's superiority over clinical judgment suggests it should be the preferred tool for outcome prediction and decision-making following acute ischemic stroke 1
Validation Across Multiple Cohorts
- The iScore showed high correlation between observed and predicted outcomes in two large Canadian cohorts: 0.988 and 0.940 for mortality or disability, and 0.985 and 0.993 for mortality or institutionalization 2
- External validation in the VISTA collaboration (7,140 patients) confirmed the iScore's ability to stratify risk and predict outcomes after thrombolysis 3
- A revised version substituting OCSP for TOAST classification maintained comparable discrimination (area under ROC curve 0.767-0.801) with correlation coefficients of 0.985-0.995 4
Clinical Applications and Thresholds
Risk Stratification
- The iScore effectively stratifies patients into low-risk (iScore <200) and high-risk (iScore ≥200) groups, with approximately 10-19% of patients falling into the high-risk category 5, 3
- Patients with iScore ≥200 have dramatically worse outcomes: only 5.5-15.4% achieve favorable outcomes compared to 38.9-58.7% in those with iScore <200 5, 3
Predicting Treatment Response to tPA
- In patients with iScore <200, tPA administration increases odds of favorable outcome by 47% (OR 1.47,95% CI 1.30-1.67) 3
- However, tPA shows no significant benefit in patients with iScore ≥200 (favorable outcome 15.4% vs 13.4% placebo, p=0.77), suggesting limited efficacy in this high-risk group 5, 3
- The iScore predicts hemorrhagic complications: patients with iScore ≥200 receiving tPA had 15.4% symptomatic ICH versus 3.9% with placebo (p=0.04) 5
Multiple Outcome Predictions
- The iScore accurately predicts death or disability at discharge (modified Rankin Scale 3-5), with prevalence ranging from 44-56% depending on the cohort 2
- It also predicts death or institutionalization at discharge (prevalence 16-17%) and 30-day mortality 2
- The tool maintains accuracy for 3-month outcomes, with discrimination improving slightly over time (AUC 0.801-0.810 at 3 months) 4
Important Limitations and Context
Not Designed for LVO Detection
- The evidence provided focuses on the iScore's ability to predict outcomes after stroke, not its ability to diagnose large vessel occlusion (LVO) 6
- For LVO prediction, other tools like NIHSS, RACE, LAMS, and CPSSS are more appropriate, though none achieve both high sensitivity and specificity 6, 7
Risk Stratification After Stroke Remains Primitive
- According to AHA/ASA guidelines, no risk stratification systems have been generally recommended for use after stroke in existing guidelines for secondary prevention 6
- Even "low-risk" groups defined by various stroke prediction instruments have annual stroke recurrence rates of 3.2-4%, well above the 2% threshold for high-risk equivalents 6
- Current risk stratification schemes ignore clinically important outcomes including functional decline, disability, and dementia 6
Practical Implementation
- The iScore is freely available online at www.sorcan.ca/iscore and can be calculated at the bedside 1, 2, 5
- The tool should be used to guide discussions about prognosis, treatment decisions (particularly regarding thrombolysis), and goals of care 1, 3
- An iScore ≥200 should prompt careful consideration of the risk-benefit ratio for aggressive interventions, given the high hemorrhage risk and limited treatment benefit in this population 5, 3