Gavin McCluskey1, Annemarie Hunter1, Elizabeth Best2, Jacqueline McKee2, Mark O McCarron3, Ferghal McVerry4. 1. Department of Neurology, Royal Victoria Hospital, Belfast, Northern Ireland, United Kingdom. 2. Stroke Unit, Altnagelvin Hospital, Derry, Northern Ireland, United Kingdom. 3. Department of Neurology, Royal Victoria Hospital, Belfast, Northern Ireland, United Kingdom; Department of Neurology Altnagelvin Hospital, Derry, Northern Ireland, United Kingdom. 4. Department of Neurology, Royal Victoria Hospital, Belfast, Northern Ireland, United Kingdom; Department of Neurology Altnagelvin Hospital, Derry, Northern Ireland, United Kingdom. Electronic address: ferghalmcverry@westerntrust.hscni.net.
Abstract
BACKGROUND: Detection of large vessel occlusion (LVO) is required for endovascular therapy in acute ischemic stroke (AIS) but CT angiography (CTA) is not always performed at primary stroke centers. Eye deviation on CT brain has been associated with improved stroke detection, but comparisons with angiographic status have been limited. This study sought to determine if radiological eye deviation was associated with LVO. METHODS: All AIS patients given intravenous thrombolysis who had acute CTA performed in 2 stroke units were reviewed over 2013-2015 for the presence of LVO. Eye deviation was determined by 2 clinicians blinded to LVO status. Logistic regression was performed to determine which factors predicated LVO. RESULTS: Total 195 AIS patients with acute CTA were identified; 124 (64%) had LVO. Median age was 72 (IQR 64-82) years, median National Institutes of Health Stroke Scale (NIHSS) was 12 (IQR 7-14). LVO patients had a higher NIHSS (15 versus 7, p < .01) and were more likely to have eye deviation on CT brain (71% versus 22.5%, p < .01). Logistic regression confirmed NIHSS score and eye deviation were associated with LVO, with odds ratios of 1.15 (per point) and 5.13 respectively. NIHSS less than equal to 11 gave greatest sensitivity (78.5%) and specificity (76.1%) for LVO with a positive predictive value of 84.7%. Eye deviation was similar with sensitivity 71%, specificity 77.5%, and 84.6%. CONCLUSIONS: Eye deviation on CT brain is strongly associated with LVO. Presence of eye deviation on CT should alert clinicians to probability of LVO and for formal angiographic testing if not already performed. Crown
BACKGROUND: Detection of large vessel occlusion (LVO) is required for endovascular therapy in acute ischemic stroke (AIS) but CT angiography (CTA) is not always performed at primary stroke centers. Eye deviation on CT brain has been associated with improved stroke detection, but comparisons with angiographic status have been limited. This study sought to determine if radiological eye deviation was associated with LVO. METHODS: All AIS patients given intravenous thrombolysis who had acute CTA performed in 2 stroke units were reviewed over 2013-2015 for the presence of LVO. Eye deviation was determined by 2 clinicians blinded to LVO status. Logistic regression was performed to determine which factors predicated LVO. RESULTS: Total 195 AIS patients with acute CTA were identified; 124 (64%) had LVO. Median age was 72 (IQR 64-82) years, median National Institutes of Health Stroke Scale (NIHSS) was 12 (IQR 7-14). LVO patients had a higher NIHSS (15 versus 7, p < .01) and were more likely to have eye deviation on CT brain (71% versus 22.5%, p < .01). Logistic regression confirmed NIHSS score and eye deviation were associated with LVO, with odds ratios of 1.15 (per point) and 5.13 respectively. NIHSS less than equal to 11 gave greatest sensitivity (78.5%) and specificity (76.1%) for LVO with a positive predictive value of 84.7%. Eye deviation was similar with sensitivity 71%, specificity 77.5%, and 84.6%. CONCLUSIONS: Eye deviation on CT brain is strongly associated with LVO. Presence of eye deviation on CT should alert clinicians to probability of LVO and for formal angiographic testing if not already performed. Crown
Authors: Ana Lima Silva; Ana Sofia Pessoa; Renato Nogueira; José Manuel Araújo; José Nuno Alves; João Pinho; Carla Ferreira Journal: Neurol Sci Date: 2019-11-11 Impact factor: 3.307
Authors: Mark O McCarron; Mike Clarke; Paul Burns; Michael McCormick; Peter McCarron; Raeburn B Forbes; Luke V McCarron; Fiona Mullan; Ferghal McVerry Journal: Front Neurol Date: 2021-02-12 Impact factor: 4.003