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Badihian S, Samaha E, Newman-Toker DE, Zee DS, Kattah JC. Radiographic Horizontal Conjugate Gaze Deviation: Clinical Correlates. Neurol Clin Pract 2025; 15:e200375. [PMID: 39399573 PMCID: PMC11464262 DOI: 10.1212/cpj.0000000000200375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 06/13/2024] [Indexed: 10/15/2024]
Abstract
Purpose of Review The potential diagnostic value of radiographic, horizontal, conjugate gaze deviation (Rad h-CGD) was first recognized in 2003 by Simon et al. Thereafter, interest grew related to its potential use as a marker of different neurologic and vestibular disorders. Over the past 20 years, we have identified clinical correlates of Rad h-CGD including those caused by supratentorial and infratentorial lesions. We propose clinicians and radiologists will better diagnose and manage patients by knowing the different diagnostic possibilities for Rad h-CGD. Findings We report different clinical correlates of Rad h-CGD relevant for localizing and lateralizing lesions. We measured the angle of deviation and correlated it with the clinical findings and underlying mechanisms. We then reviewed important data from the previous literature relevant to the localization of each lesion and combined it with our experience into the design of a practical algorithm to interpret Rad h-CGD. Summary Using Rad h-CGD provides useful information about the diagnosis and localization and may reveal subtle ocular findings not clear on physical examination. However, Rad h-CGD alone cannot distinguish between supratentorial and infratentorial lesions, and therefore, the clinical context is critical. Moreover, although Rad h-CGD occurs with strokes due to large vessel occlusion, it could also be seen with an acute vestibular syndrome, secondary to a peripheral vestibular neuritis. Other possibilities include ischemic events in the cerebellum, brainstem, and labyrinth.
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Affiliation(s)
- Shervin Badihian
- Department of Neurology (SB), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (ES, JCK), University of Illinois College of Medicine, Peoria; and Departments of Neurology (DEN-T, DSZ), Otolaryngology and Ophthalmology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Elias Samaha
- Department of Neurology (SB), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (ES, JCK), University of Illinois College of Medicine, Peoria; and Departments of Neurology (DEN-T, DSZ), Otolaryngology and Ophthalmology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - David E Newman-Toker
- Department of Neurology (SB), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (ES, JCK), University of Illinois College of Medicine, Peoria; and Departments of Neurology (DEN-T, DSZ), Otolaryngology and Ophthalmology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - David S Zee
- Department of Neurology (SB), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (ES, JCK), University of Illinois College of Medicine, Peoria; and Departments of Neurology (DEN-T, DSZ), Otolaryngology and Ophthalmology, The Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jorge C Kattah
- Department of Neurology (SB), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (ES, JCK), University of Illinois College of Medicine, Peoria; and Departments of Neurology (DEN-T, DSZ), Otolaryngology and Ophthalmology, The Johns Hopkins University School of Medicine, Baltimore, MD
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Wagstaff HM, Crowe RP, Youngquist ST, Stoecklein HH, Treichel A, He Y, Majersik JJ. Numerical Cincinnati Stroke Scale versus Stroke Severity Screening Tools for the Prehospital Determination of Large Vessel Occlusion. PREHOSP EMERG CARE 2024:1-12. [PMID: 39561317 DOI: 10.1080/10903127.2024.2430442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2024] [Revised: 10/16/2024] [Accepted: 11/05/2024] [Indexed: 11/21/2024]
Abstract
OBJECTIVES Previous research demonstrated that the numerical Cincinnati Prehospital Stroke Scale (CPSS) identifies large vessel occlusion (LVO) at similar rates compared to dedicated LVO screening tools. We aimed to compare numerical CPSS to additional stroke scales using a national Emergency Medical Services (EMS) database. METHODS Using the ESO Data Collaborative, the largest EMS database with linked hospital data, we retrospectively analyzed prehospital patient records from 2022. Each EMS record was linked to corresponding emergency department (ED) and inpatient records through a data exchange platform. Prehospital CPSS was compared to the Cincinnati Stroke Triage Assessment Tool (C-STAT), the Field Assessment Stroke Triage for Emergency Destination (FAST-ED), and the Balance Eyes Face Arm Speech Time (BE-FAST). The optimal prediction cut points for LVO screening were determined by intersecting the sensitivity and specificity curves for each scale. To compare the discriminative abilities of each scale among those diagnosed with LVO, we used the area under the receiver operating curve (AUROC). RESULTS We identified 17,442 prehospital records from 754 EMS agencies with ≥ 1 documented stroke scale of interest: 30.3% (n = 5,278) had a hospital diagnosis of stroke, of which 71.6% (n = 3,781) were ischemic; of those, 21.6% (n = 817) were diagnosed with LVO. CPSS score ≥ 2 was found to be predictive of LVO with 76.9% sensitivity, 68.0% specificity, and AUROC 0.787 (95% CI 0.722-0.801). All other tools had similar predictive abilities, with sensitivity/specificity/AUROC of: C-STAT 62.5%/76.5%/0.727 (0.555-0.899); FAST-ED 61.4%/76.1%/0.780 (0.725-0.836); BE-FAST 70.4%/67.1%/0.739 (0.697-0.788). CONCLUSIONS The less complex CPSS exhibited comparable performance to three frequently employed LVO detection tools. The EMS leadership, medical directors, and stroke system directors should weigh the complexity of stroke severity instruments and the challenges of ensuring consistent and accurate use when choosing which tool to implement. The straightforward and widely adopted CPSS may improve compliance while maintaining accuracy in LVO detection.
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Affiliation(s)
- Holden M Wagstaff
- Department of Emergency Medicine, University of Utah, 30 N. Mario Capecchi, HELIX Bldg, Level 2 South, Salt Lake City, UT 84112
| | - Remle P Crowe
- ESO: Emergency Medical Services Software, 11500 Alterra Pkwy #100, Austin, TX 78758
| | - Scott T Youngquist
- Department of Emergency Medicine, University of Utah, 30 N. Mario Capecchi, HELIX Bldg, Level 2 South, Salt Lake City, UT 84112
| | - H Hill Stoecklein
- Emergency Medicine of Jackson Hole, St. Johns Health, 625 E Broadway Ave, Jackson, WY 83001
| | - Ali Treichel
- ESO: Emergency Medical Services Software, 11500 Alterra Pkwy #100, Austin, TX 78758
| | - Yao He
- Department of Neurology, University of Utah, 175 Medical Dr N, Salt Lake City, UT 84132
| | - Jennifer J Majersik
- Department of Neurology, University of Utah, 175 Medical Dr N, Salt Lake City, UT 84132
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Mizu D, Matsuoka Y, Nishida H, Sakatani T, Teramoto S, Ariyoshi K. Etiology and clinical characteristics of patients with severely impaired consciousness in prehospital settings: A retrospective study. Acute Med Surg 2023; 10:e863. [PMID: 37362033 PMCID: PMC10290530 DOI: 10.1002/ams2.863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 05/05/2023] [Accepted: 05/29/2023] [Indexed: 06/28/2023] Open
Abstract
Aim To examine the causes of patients with severely impaired consciousness and the clinical characteristics in prehospital settings that are useful for differential diagnosis, especially stroke. Methods We retrospectively examined patients aged ≥16 years with Japan Coma Scale III-digit codes during paramedic contact and transported to our hospital between January 2018 and December 2018. Furthermore, we examined background and physical findings of patients at final diagnosis, and also examined factors associated with stroke. Results Overall, 227 patients were included in this study. One hundred and twelve patients (49.3%) were male, and the median age was 71 years (interquartile range, 50-83 years). Stroke was the most common cause (30%). Intoxication and psychiatric disorders were significantly more common in younger patients (p < 0.01). Systolic blood pressure was the highest in patients with stroke. Mortality was the highest in stroke (55.9%). Systolic blood pressure, airway compromise, and ocular abnormalities were factors associated with stroke, with odds ratios of 1.03 (95% confidence interval [CI], 1.02-1.04), 6.88 (95% CI, 3.02-15.64), and 3.86 (95% CI, 1.61-9.27), respectively. Conclusion Stroke was the most common cause of severely impaired consciousness. Age could be a useful indicator to consider intoxication and psychiatric disorders. Systolic blood pressure, airway compromise, and ocular abnormalities were factors associated with stroke in the prehospital setting.
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Affiliation(s)
- Daisuke Mizu
- Department of Emergency MedicineOsaka Red Cross HospitalOsakaJapan
- Department of Emergency MedicineKobe City Medical Center General HospitalKobe‐shiJapan
| | - Yoshinori Matsuoka
- Department of Emergency MedicineKobe City Medical Center General HospitalKobe‐shiJapan
| | - Haruka Nishida
- Department of Emergency MedicineKobe City Medical Center General HospitalKobe‐shiJapan
| | - Tomoko Sakatani
- Department of Emergency MedicineKobe City Medical Center General HospitalKobe‐shiJapan
| | - Shoki Teramoto
- Department of Emergency MedicineKobe City Medical Center General HospitalKobe‐shiJapan
| | - Koichi Ariyoshi
- Department of Emergency MedicineKobe City Medical Center General HospitalKobe‐shiJapan
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Nicholls JK, Ince J, Minhas JS, Chung EML. Emerging Detection Techniques for Large Vessel Occlusion Stroke: A Scoping Review. Front Neurol 2022; 12:780324. [PMID: 35095726 PMCID: PMC8796731 DOI: 10.3389/fneur.2021.780324] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 12/13/2021] [Indexed: 12/13/2022] Open
Abstract
Background: Large vessel occlusion (LVO) is the obstruction of large, proximal cerebral arteries and can account for up to 46% of acute ischaemic stroke (AIS) when both the A2 and P2 segments are included (from the anterior and posterior cerebral arteries). It is of paramount importance that LVO is promptly recognised to provide timely and effective acute stroke management. This review aims to scope recent literature to identify new emerging detection techniques for LVO. As a good comparator throughout this review, the commonly used National Institutes of Health Stroke Scale (NIHSS), at a cut-off of ≥11, has been reported to have a sensitivity of 86% and a specificity of 60% for LVO. Methods: Four electronic databases (Medline via OVID, CINAHL, Scopus, and Web of Science), and grey literature using OpenGrey, were systematically searched for published literature investigating developments in detection methods for LVO, reported from 2015 to 2021. The protocol for the search was published with the Open Science Framework (10.17605/OSF.IO/A98KN). Two independent researchers screened the titles, abstracts, and full texts of the articles, assessing their eligibility for inclusion. Results: The search identified 5,082 articles, in which 2,265 articles were screened to assess their eligibility. Sixty-two studies remained following full-text screening. LVO detection techniques were categorised into 5 groups: stroke scales (n = 30), imaging and physiological methods (n = 15), algorithmic and machine learning approaches (n = 9), physical symptoms (n = 5), and biomarkers (n = 3). Conclusions: This scoping review has explored literature on novel and advancements in pre-existing detection methods for LVO. The results of this review highlight LVO detection techniques, such as stroke scales and biomarkers, with good sensitivity and specificity performance, whilst also showing advancements to support existing LVO confirmatory methods, such as neuroimaging.
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Affiliation(s)
- Jennifer K. Nicholls
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- Department of Medical Physics, University Hospitals of Leicester, NHS Trust, Leicester, United Kingdom
| | - Jonathan Ince
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
| | - Jatinder S. Minhas
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, United Kingdom
| | - Emma M. L. Chung
- Department of Cardiovascular Sciences, University of Leicester, Leicester, United Kingdom
- Department of Medical Physics, University Hospitals of Leicester, NHS Trust, Leicester, United Kingdom
- NIHR Leicester Biomedical Research Centre, University of Leicester, Leicester, United Kingdom
- School of Life Course Sciences, King's College London, London, United Kingdom
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McCarron MO, Clarke M, Burns P, McCormick M, McCarron P, Forbes RB, McCarron LV, Mullan F, McVerry F. A Neurodisparity Index of Nationwide Access to Neurological Health Care in Northern Ireland. Front Neurol 2021; 12:608070. [PMID: 33643193 PMCID: PMC7907594 DOI: 10.3389/fneur.2021.608070] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 01/21/2021] [Indexed: 01/07/2023] Open
Abstract
Nationwide disparities in managing neurological patients have rarely been reported. We compared neurological health care between the population who reside in a Health and Social Care Trust with a tertiary neuroscience center and those living in the four non-tertiary center Trusts in Northern Ireland. Using the tertiary center Trust population as reference, neurodisparity indices (NDIs) defined as the number of treated patients resident in each Trust per 100,000 residents compared to the same ratio in the tertiary center Trust for a fixed time period. NDIs were calculated for four neurological pathways—intravenous thrombolysis (iv-tPA) and mechanical thrombectomy (MT) for acute ischemic stroke (AIS), disease modifying treatment (DMT) in multiple sclerosis (MS) and admissions to a tertiary neurology ward. Neurological management was recorded in 3,026 patients. Patients resident in the tertiary center Trust were more likely to receive AIS treatments (iv-tPA and MT) and access to the neurology ward (p < 0.001) than patients residing in other Trusts. DMT use for patients with MS was higher in two non-tertiary center Trusts than in the tertiary center Trust. There was a geographical gradient for MT for AIS patients and ward admissions. Averaged NDIs for non-tertiary center Trusts were: 0.48 (95%CI 0.32–0.71) for patient admissions to the tertiary neurology ward, 0.50 (95%CI 0.38–0.66) for MT in AIS patients, 0.78 (95%CI 0.67–0.92) for iv-tPA in AIS patients, and 1.11 (95%CI 0.99–1.26) for DMT use in MS patients. There are important neurodisparities in Northern Ireland, particularly for MT and tertiary ward admissions. Neurologists and health service planners should be aware that geography and time-dependent management of neurological patients worsen neurodisparities.
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Affiliation(s)
- Mark O McCarron
- Department of Neurology, Altnagelvin Hospital, Derry, Ireland
| | - Mike Clarke
- HSC Statistical and Methodological Support Service, Queen's University Belfast, Belfast, Ireland
| | - Paul Burns
- Department of Neuroradiology, Royal Victoria Hospital, Belfast, Ireland
| | | | | | | | - Luke V McCarron
- University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Fiona Mullan
- Department of Neurology, Altnagelvin Hospital, Derry, Ireland
| | - Ferghal McVerry
- Department of Neurology, Altnagelvin Hospital, Derry, Ireland
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Al Khathaami AM, Aldriweesh MA, Al Bdah BA, Alhasson MA, Alsaif SA, Alluhidan WA, Almutairi FM, Alskaini MA, Alotaibi N, Alghamdi SAM. Anterior circulation large vessel occlusion stroke in Saudi Arabia: Prevalence, predictors, and outcome. J Stroke Cerebrovasc Dis 2020; 29:105080. [PMID: 32807477 DOI: 10.1016/j.jstrokecerebrovasdis.2020.105080] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 05/31/2020] [Accepted: 06/18/2020] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE Anterior circulation Large Vessel Occlusion (LVO) stroke comes with significant morbidity and mortality. With the advent of endovascular interventions, its management has revolutionized. For health authorities to build systems and allocate resources, its burden, predictors, and outcome must be determined. METHODS In a single tertiary care center, we retrospectively collected data from 1495 ischemic stroke patients to determine anterior circulation LVO prevalence, predictors, and outcome. Patients must have radiologically proven ischemic stroke within 24 hours before arrival at the emergency department. Anterior circulation LVO related stroke was defined as evidence of new anterior circulation infarct detected on neuroimaging, and vascular imaging confirming anterior circulation Large Vessel Occlusion. Data on demographics, vascular risk factors, treatment with reperfusion therapy, modified Rankin Scale (mRS) at admission, National Institute of Health Stroke Scale (NIHSS) at admission, length of stay (LOS) in days, and in-hospital comorbidities and death were collected. Regression analysis was done to determine the predictors and outcomes of anterior circulation LVO ischemic strokes. RESULTS We found anterior circulation LVO in 27.8% (95 % CI 25.5-30.0) of all ischemic stroke patients. Atrial fibrillation and admission National Institute of Health Stroke Scale (NIHSS) were the strongest predictors of LVO [OR 2.33, P = 0.0011 and OR 1.17, P < 0.0001] respectively. Occurrence of LVO was associated with worse disability score (mRS ≥ 3) [47.22 vs. 19.81% (P = 0.0073)], longer hospitalization in days [Median 9.0 vs. 3.0, IQR (14.0 vs. 5.0) P = 0.0432)], and was more likely to results in patient admission to intensive care unit [Mean 17.59 vs. 3.70 % (P = 0.0002)]. CONCLUSION Stroke with large vessel occlusion in Saudi Arabia is not uncommon. Its burden and outcome deserve national attention, as effective treatment is now readily available.
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Affiliation(s)
- Ali M Al Khathaami
- King Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia; College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Mohammed A Aldriweesh
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Bayan A Al Bdah
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Muath A Alhasson
- Unaizah College of Medicine, Qassim University, Qassim, Saudi Arabia
| | - Sultan A Alsaif
- College of Medicine, Almaarefa University, Riyadh, Saudi Arabia
| | - Waleed A Alluhidan
- College of Medicine, Imam Mohammad Ibn Saud Islamic University, Riyadh, Saudi Arabia
| | - Faisal M Almutairi
- College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Mohammed A Alskaini
- King Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia
| | - Nasser Alotaibi
- King Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia; College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Saeed A M Alghamdi
- King Abdulaziz Medical City, National Guard Health Affairs, Jeddah, Saudi Arabia; College of Medicine, King Saud Bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia; King Abdullah International Medical Research Center, Jeddah, Saudi Arabia.
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Jiang NN, Wu W, Fong C, Sahlas DJ, Larrazabal R. Role of Radiological Eye Deviation in Imaging Occult Cases of Acute Large Vessel Occlusion. J Stroke Cerebrovasc Dis 2020; 29:104687. [DOI: 10.1016/j.jstrokecerebrovasdis.2020.104687] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Accepted: 01/20/2020] [Indexed: 11/17/2022] Open
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McVerry F, McCluskey G, Best E, McKee J, McCarron MO. Radiological Eye Deviation and Hyperdense Vessel Signs in Large Vessel Occlusion of Patients with Acute Ischemic Stroke. J Stroke Cerebrovasc Dis 2020; 29:104744. [PMID: 32122780 DOI: 10.1016/j.jstrokecerebrovasdis.2020.104744] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
- Ferghal McVerry
- Neurology Department, Altnagelvin Hospital, Derry, Northern Ireland, United Kingdom.
| | - Gavin McCluskey
- Neurology Department, Royal Group of Hospitals, Belfast, Northern Ireland, United Kingdom
| | - Elizabeth Best
- Stroke Unit, Altnagelvin Hospital, Derry, Northern Ireland, United Kingdom
| | - Jacqueline McKee
- Stroke Unit, Altnagelvin Hospital, Derry, Northern Ireland, United Kingdom
| | - Mark O McCarron
- Neurology Department, Altnagelvin Hospital, Derry, Northern Ireland, United Kingdom
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Crowe RP, Myers JB, Fernandez AR, Bourn S, McMullan JT. The Cincinnati Prehospital Stroke Scale Compared to Stroke Severity Tools for Large Vessel Occlusion Stroke Prediction. PREHOSP EMERG CARE 2020; 25:67-75. [PMID: 32017644 DOI: 10.1080/10903127.2020.1725198] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
BACKGROUND Various screening tools, ranging in complexity, have been developed to predict large vessel occlusion (LVO) stroke in the prehospital setting. Our objective was to determine whether newly-developed LVO stroke scales offer a clinically-meaningful advantage over the Cincinnati Prehospital Stroke Scale (CPSS). METHODS We retrospectively analyzed prehospital patient care records linked with hospital data from 151 EMS agencies in the United States, between January 1, 2018 and December 31, 2018. We compared the CPSS to the Rapid Arterial Occlusion Evaluation (RACE), Los Angeles Motor Scale (LAMS), and the Vision, Aphasia, Neglect (VAN) assessment for LVO prediction. For each stroke scale, we used the intersection of sensitivity and specificity curves to determine optimal prediction cut-points. We used area under the ROC curve and 95% confidence intervals to assess for differences in discriminative ability between scales. RESULTS We identified 13,596 prehospital records with one or more documented stroke scales of interest. Among these, 4,228 patients were diagnosed with stroke. Over half (57%, n = 2,415) of patients diagnosed with stroke experienced an acute ischemic stroke. Of patients with ischemic stroke, 26% (n = 628) were diagnosed with LVO. A CPSS score of 2 or higher demonstrated sensitivity = 69% and specificity = 78% for LVO. A RACE score of 4 or higher demonstrated sensitivity = 63%, specificity = 73%. A LAMS score of 3 or higher demonstrated sensitivity = 63%, specificity = 72% and a positive VAN score demonstrated sensitivity = 86%, specificity = 65%. Comparing the area under the ROC curve for each scale revealed no statistically significant differences in discriminative ability for LVO stroke. CONCLUSIONS In this large sample of real-world prehospital patient encounters, the CPSS demonstrated similar predictive performance characteristics compared to the RACE, LAMS, and VAN for detecting LVO stroke. Prior to implementing a specific screening tool, EMS agencies should evaluate ease of use and associated implementation costs. Scored 0-3, the simple, widely-used CPSS may serve as a favorable prehospital screening instrument for LVO detection with a cut-point of 2 or higher maximizing the tradeoff between sensitivity and specificity.
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Silva AL, Pessoa AS, Nogueira R, Araújo JM, Alves JN, Pinho J, Ferreira C. Prognostic information of gaze deviation in acute ischemic stroke patients. Neurol Sci 2019; 41:435-440. [PMID: 31713194 DOI: 10.1007/s10072-019-04140-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 11/03/2019] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Gaze deviation (GD) in acute ischemic stroke patients has been suggested to be associated with poor outcome and with the presence of large vessel occlusion. Our aim was to study the prognostic significance of GD in ischemic stroke patients submitted to acute revascularization treatments. METHODS Retrospective single-center study of consecutive anterior circulation ischemic stroke patients submitted to thrombolysis and/or endovascular revascularization between 2007 and 2017. The groups of patients with and without GD were compared concerning baseline clinical and imagiological variables, functional outcome at 3 months, and survival at 1 year. RESULTS Among a study population of 711 patients, 332 (46.7%) presented GD. Patients with GD were more frequently of female sex (p = 0.048), had higher baseline NIHSS scores (p < 0.001), had lower ASPECTS on baseline CT (p < 0.001), more frequently had ischemia of the right hemisphere (p < 0.001), presented higher NIHSS 24 hours after treatment (p < 0.001), and more frequently presented cardioembolic stroke (p = 0.003). In the unadjusted analyses, GD was associated with decreased 3-month functional independence and increased 1-month and 1 year mortality (p < 0.001). After adjustment for variables of interest, namely, for NIHSS 24 hours after treatment, GD was no longer associated with functional outcome or survival. CONCLUSIONS GD in patients with acute ischemic stroke is associated with increased clinical and imagiological severity at baseline. However, in patients submitted to acute revascularization treatments, this does not appear to be independent predictor of functional outcome or survival.
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Affiliation(s)
- Ana Lima Silva
- Internal Medicine Department, Centro Hospitalar Médio Ave., Rua Cupertino de Miranda, 4761-917, V. N. de Famalicão, Portugal
| | - Ana Sofia Pessoa
- Internal Medicine Department, Centro Hospitalar Médio Ave., Rua Cupertino de Miranda, 4761-917, V. N. de Famalicão, Portugal
| | - Renato Nogueira
- Internal Medicine Department, Centro Hospitalar Médio Ave., Rua Cupertino de Miranda, 4761-917, V. N. de Famalicão, Portugal
| | - José Manuel Araújo
- Neurology Department, Hospital de Braga, Sete Fontes, São Victor, 4715-243, Braga, Portugal
| | - José Nuno Alves
- Neurology Department, Hospital de Braga, Sete Fontes, São Victor, 4715-243, Braga, Portugal
| | - João Pinho
- Department of Neurology, University Hospital RWTH Aachen, Pauwelsstraße 30, 52074, Aachen, Germany.
| | - Carla Ferreira
- Neurology Department, Hospital de Braga, Sete Fontes, São Victor, 4715-243, Braga, Portugal
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