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Published on: January 18, 2018
Clinical criteria to exclude acute vascular pathology on CT angiogram in patients with dizziness
Long H Tu1, Ajay Malhotra1, Arjun K Venkatesh2
1Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, United States of America.
Insights
A new clinical decision rule can identify dizzy patients with a near-zero risk of acute vascular pathology on CT angiography (CTA) head and neck scans. This may help avoid unnecessary imaging in up to 52% of emergency department cases.
Area of Science:
- Emergency Medicine
- Neurology
- Radiology
Background:
- Dizziness is a common emergency department (ED) complaint.
- CT angiography (CTA) of the head and neck is used to detect acute vascular pathology, such as large vessel occlusion.
- Identifying patients with dizziness who have a low risk of acute vascular abnormality is crucial.
Purpose of the Study:
- To derive and validate a clinical decision rule to identify emergency department patients with dizziness who are at very low risk for acute vascular pathology on CTA head and neck.
- To assess the potential to reduce CTA utilization in dizzy patients.
Main Methods:
- A cross-sectional analysis of adult ED encounters with dizziness and CTA head and neck imaging was performed.
- A decision rule was derived and tested on separate validation and sensitivity analysis cohorts.
- Sensitivity, specificity, and negative predictive value were calculated.
Main Results:
- The derived decision rule demonstrated 100% sensitivity and 100% negative predictive value in both derivation and validation phases.
- The rule identified that up to 52% of dizziness CTA scans might be avoidable.
- The rule performed similarly on "stroke code" presentations and outperformed NIHSS cut-offs.
Conclusions:
- A clinical decision rule based on specific patient factors can effectively exclude acute vascular pathology in dizzy patients.
- This rule could potentially reduce the need for CTA head and neck imaging in a significant proportion of ED visits for dizziness.
- Further prospective validation is needed to implement this rule in clinical practice.
Background:
Patients presenting to the emergency department (ED) with dizziness may be imaged via CTA head and neck to detect acute vascular pathology including large vessel occlusion. We identify commonly documented clinical variables which could delineate dizzy patients with near zero risk of acute vascular abnormality on CTA.
Methods:
We performed a cross-sectional analysis of adult ED encounters with chief complaint of dizziness and CTA head and neck imaging at three EDs between 1/1/2014-12/31/2017. A decision rule was derived to exclude acute vascular pathology tested on a separate validation cohort; sensitivity analysis was performed using dizzy "stroke code" presentations.
Results:
Testing, validation, and sensitivity analysis cohorts were composed of 1072, 357, and 81 cases with 41, 6, and 12 instances of acute vascular pathology respectively. The decision rule had the following features: no past medical history of stroke, arterial dissection, or transient ischemic attack (including unexplained aphasia, incoordination, or ataxia); no history of coronary artery disease, diabetes, migraines, current/long-term smoker, and current/long-term anti-coagulation or anti-platelet medication use. In the derivation phase, the rule had a sensitivity of 100% (95% CI: 0.91-1.00), specificity of 59% (95% CI: 0.56-0.62), and negative predictive value of 100% (95% CI: 0.99-1.00). In the validation phase, the rule had a sensitivity of 100% (95% CI: 0.61-1.00), specificity of 53% (95% CI: 0.48-0.58), and negative predictive value of 100% (95% CI: 0.98-1.00). The rule performed similarly on dizzy stroke codes and was more sensitive/predictive than all NIHSS cut-offs. CTAs for dizziness might be avoidable in 52% (95% CI: 0.47-0.57) of cases.
Conclusions:
A collection of clinical factors may be able to "exclude" acute vascular pathology in up to half of patients imaged by CTA for dizziness. These findings require further development and prospective validation, though could improve the evaluation of dizzy patients in the ED.
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