ABCD2 Score (TIA stroke risk)

ABCD2 score for stroke risk after TIA (Johnston 2007): age >= 60 (1), BP >= 140/90 (1), clinical features (unilateral weakness 2, speech disturbance without weakness 1), duration (>= 60 min 2, 10-59 min 1), diabetes (1).

Open the calculator → Runs in your browser. Data leaves only if you deliberately send a problem report from the interactive tool.

Example

Age
70 years
Systolic BP
150 mmHg
Diastolic BP
90 mmHg
Clinical features
Unilateral weakness (+2)
Symptom duration
90 minutes
Diabetes
Yes

Result: ABCD2 7/7 - High risk (2-day stroke risk ~8.1%).

The tool opens with these values already filled in. Replace them with your own.

What the result means

0-3
Low risk; 2-day stroke risk 1.0% per source.
4-5
Moderate risk; 2-day stroke risk 4.1% per source.
6-7
High risk; 2-day stroke risk 8.1% per source.

What you enter

  • Age
  • Systolic BP
  • Diastolic BP
  • Clinical features (weakness 2 / speech 1 / other 0)
  • Symptom duration
  • Diabetes (1)

What this is

Compute the ABCD2 score for early stroke risk after transient ischemic attack (Johnston Lancet 2007): Age >=60, Blood pressure >=140/90, Clinical features (unilateral weakness, speech disturbance), Duration (>=60 min, 10-59 min, <10 min), and Diabetes. Sophie Well returns the 0-7 total and the published 2-day, 7-day, and 90-day stroke-risk bands.

When to use it

Use this at first contact for a patient with a probable TIA to inform urgency of workup and admission. ABCD2 is a triage aid, not a substitute for imaging - current AHA/ASA guidance recommends rapid carotid imaging, ECG, and brain MRI for most TIA patients regardless of score; the score helps prioritize how quickly that workup happens.

How this is calculated

Johnston SC, Rothwell PM, Nguyen-Huynh MN, et al. Validation and refinement of scores to predict very early stroke risk after transient ischaemic attack. Lancet 2007;369(9558):283-292. Read the source ↗

A reference and educational tool. Not medical, legal, or financial advice, and not a substitute for clinician judgment.

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Built by Clay Good. Source on GitHub.