Clinical neurology and neurosurgery · 2024
Validation of a diagnostic support tool for early recognition of cervical arterial dissection in primary care.
СтатьяНаблюдательное исследованиеВалидационное исследованиеНазвание и аннотация: Перевод в очереди
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Thomas L, Fowler M, Marsh L, Chu K, Muller Claire, Wong A
Аннотация
BACKGROUND: Cervical arterial dissection (CeAD) is a leading cause of stroke in young adults with an early presentation often mimicking musculoskeletal pain. Currently, no validated tests exist and CAD may be missed. A diagnostic support tool could help guide urgent referral for imaging, when to monitor, or when safe to proceed with treatment, and ultimately help stroke prevention.
OBJECTIVES: To validate a 4-criteria diagnostic support tool for early recognition of CeAD in primary care, to refine tool descriptors as needed, and propose optimal cut-offs for clinical application.
DESIGN: Prospective observational study METHOD: Participants with radiologically confirmed CeAD and controls without CeAD were identified from adults >18 years presenting to a tertiary metropolitan hospital with initial diagnosis of headache or neck pain. All were scored with criteria out of7 (acute onset pain [2], recent trauma/infection [1], neurological features [2], age <55 years [2]). Diagnostic values were calculated to determine cut offs and the tool was refined based on the analysis.
RESULTS: Thirty participants with CeAD and 261 controls with non-CeAD causes of headache and neck pain were included. The diagnostic support tool was an 'excellent' predictor of CeAD (AUC 0.83) but demonstrated poor specificity. Refining the tool to 'acute/sudden onset' [1], 'unusual/unfamiliar headache/neck pain' [1], recent trauma/infection [1] and neurological features ≥2 [1], scored out of 4, showed 100 % sensitivity and 74 % specificity to detect CeAD at a cut-off of 3/4 (AUC 0.87).
CONCLUSIONS: The refined tool shows acceptable clinical utility at a cut-off ≥3, where referral for vascular imaging is recommended. Further validation in Emergency and primary care is needed.
OBJECTIVES: To validate a 4-criteria diagnostic support tool for early recognition of CeAD in primary care, to refine tool descriptors as needed, and propose optimal cut-offs for clinical application.
DESIGN: Prospective observational study METHOD: Participants with radiologically confirmed CeAD and controls without CeAD were identified from adults >18 years presenting to a tertiary metropolitan hospital with initial diagnosis of headache or neck pain. All were scored with criteria out of7 (acute onset pain [2], recent trauma/infection [1], neurological features [2], age <55 years [2]). Diagnostic values were calculated to determine cut offs and the tool was refined based on the analysis.
RESULTS: Thirty participants with CeAD and 261 controls with non-CeAD causes of headache and neck pain were included. The diagnostic support tool was an 'excellent' predictor of CeAD (AUC 0.83) but demonstrated poor specificity. Refining the tool to 'acute/sudden onset' [1], 'unusual/unfamiliar headache/neck pain' [1], recent trauma/infection [1] and neurological features ≥2 [1], scored out of 4, showed 100 % sensitivity and 74 % specificity to detect CeAD at a cut-off of 3/4 (AUC 0.87).
CONCLUSIONS: The refined tool shows acceptable clinical utility at a cut-off ≥3, where referral for vascular imaging is recommended. Further validation in Emergency and primary care is needed.