Oxfordshire Community Stroke Project Classification: A proposed automated algorithm.

INTRODUCTION: The Oxfordshire Community Stroke Project (OCSP) proposed a clinical classification for Stroke patients. This classification has proved helpful to predict the risk of neurological complications. However, the OCSP was initially based on findings on the neurological assesment, which can pose difficulties for classifying patients. We aimed to describe the development and the validation step of a computer-based algorithm based on the OCSP classification. MATERIALS AND METHODS: A flow-chart was created which was reviewed by five board-certified vascular neurologists from which a computer-based algorithm (COMPACT) was developed. Neurology residents from 12 centers were invited to participate in a randomized trial to assess the effect of using COMPACT. They answered a 20-item questionnaire for classifying the vignettes according to the OCSP classification. Each correct answer has been attributed to 1-point for calculating the final score. RESULTS: Six-two participants agreed to participate and answered the questionnaire. Thirty-two were randomly allocated to use our algorithm, and thirty were allocated to adopt a list of symptoms alone. The group who adopted our algorithm had a median score of correct answers of 16.5[14.5, 17]/20 versus 15[13, 16]/20 points, p = 0.014. The use of our algorithm was associated with the overall rate of correct scores (p = 0.03). DISCUSSION: Our algorithm seemed a useful tool for any postgraduate year Neurology resident. A computer-based algorithm may save time and improve the accuracy to classify these patients. CONCLUSION: An easy-to-use computer-based algorithm improved the accuracy of the OCSP classification, with the possible benefit of further improvement of the prediction of neurological complications and prognostication.

Predictors of hemorrhagic transformation after acute ischemic stroke based on the experts opinion / Preditores de transformação hemorrágica após acidente vascular cerebral isquêmico agudo a partir da opinião de especialistas

ABSTRACT Background: Hemorrhagic transformation (HT) is a common complication after ischemic stroke. It may be associated to poor outcomes. Some predictors of HT have been previously identified, but there remain controversies. Objective: To describe the risk factors for HT more frequently reported by a panel of experts surveyed for this project. Methods: We sent a standard questionnaire by e-mail to specialists in Vascular Neurology from 2014 to 2018. Forty-five specialists were contacted and 20 of them responded to the invitation. Predictors cited by three or more specialists were included in a table and ranked by the frequency in which they appeared. A review of the literature looking for published predictive scores of HT was performed, comparing to the answers received. Results: The 20 responding specialists cited 23 different risk factors for HT. The most frequent factors in the order of citation were the volume of ischemia, previous use of antithrombotic medication, neurological severity, age, hyperglycemia at presentation, hypertension on admission, and cardioembolism. Most variables were also found in previously published predictive scores, but they were reported by the authors with divergences of frequency. Conclusion: Although many studies have evaluated HT in patients with acute ischemic stroke, the published risk factors were neither uniform nor in agreement with those cited by the stroke specialists. These findings may be helpful to build a score that can be tested with the goal of improving the prediction of HT.

RESUMO Introdução: A transformação hemorrágica (TH) é uma complicação comum após a isquemia cerebral e pode estar associada a desfechos desfavoráveis. Alguns fatores de risco para TH têm sido identificados, mas ainda há controvérsias. Objetivo: Descrever os fatores de risco para TH mais frequentemente reportados por um painel de especialistas consultados para esse projeto. Métodos: Enviamos um questionário padronizado por e-mail para 45 especialistas em Neurologia Vascular no período de 2014 a 2018. Vinte dos 45 especialistas responderam ao convite. Preditores citados por três ou mais especialistas foram incluídos em uma tabela e classificados pela frequência em que foram reportados. Uma revisão de literatura foi realizada em busca de escores preditivos de TH publicados anteriormente, comparando-os com as respostas recebidas. Resultados: Os 20 especialistas citaram 23 diferentes fatores de risco para TH. Os fatores mais frequentemente citados foram, pela ordem, volume da isquemia, uso prévio de medicação antitrombótica, gravidade neurológica, idade, hiperglicemia na apresentação, hipertensão na admissão e cardioembolismo. A maioria das variáveis também foi incluída em escores preditivos de TH já publicados, mas sem a mesma frequência e com divergências entre os especialistas consultados. Conclusão: Embora muitos estudos tenham avaliado a TH em pacientes com isquemia cerebral, os fatores de risco já publicados não foram uniformes na concordância com aqueles reportados pelos neurologistas vasculares consultados. Esses achados podem ser úteis para elaborar um escore que possa ser testado para aperfeiçoar a predição de transformação hemorrágica.

Predictors of hemorrhagic transformation after acute ischemic stroke based on the experts' opinion.

BACKGROUND: Hemorrhagic transformation (HT) is a common complication after ischemic stroke. It may be associated to poor outcomes. Some predictors of HT have been previously identified, but there remain controversies. OBJECTIVE: To describe the risk factors for HT more frequently reported by a panel of experts surveyed for this project. METHODS: We sent a standard questionnaire by e-mail to specialists in Vascular Neurology from 2014 to 2018. Forty-five specialists were contacted and 20 of them responded to the invitation. Predictors cited by three or more specialists were included in a table and ranked by the frequency in which they appeared. A review of the literature looking for published predictive scores of HT was performed, comparing to the answers received. RESULTS: The 20 responding specialists cited 23 different risk factors for HT. The most frequent factors in the order of citation were the volume of ischemia, previous use of antithrombotic medication, neurological severity, age, hyperglycemia at presentation, hypertension on admission, and cardioembolism. Most variables were also found in previously published predictive scores, but they were reported by the authors with divergences of frequency. CONCLUSION: Although many studies have evaluated HT in patients with acute ischemic stroke, the published risk factors were neither uniform nor in agreement with those cited by the stroke specialists. These findings may be helpful to build a score that can be tested with the goal of improving the prediction of HT.

The Role of Hemorrhagic Transformation in Acute Ischemic Stroke Upon Clinical Complications and Outcomes.

BACKGROUND AND PURPOSE: Hemorrhagic transformation (HT) is a common neurological complication after ischemic stroke. The influence of symptomatic HT upon clinical outcomes post-stroke is well established, however, the role of asymptomatic HT upon prognosis is still unclear. We aimed to analyze the relationship between HT, clinical complications and outcomes in patients not submitted to reperfusion therapies (RT). METHODS: We included 448 randomly selected patients admitted with acute ischemic stroke to a tertiary hospital stroke unit from 2015 to 2017. Patients submitted to RT were excluded. All patients were evaluated with computed tomography (CT) at admission and within 7 days from the initial CT. Patients with HT were divided into two groups: symptomatic and asymptomatic cases based on the ECASS II definition. A good clinical outcome was defined as a modified Rankin Scale (mRS) 0-2 at discharge. RESULTS: A total of 95 patients (21.2%) had HT (51 asymptomatic and 44 symptomatic). Age, NIHSS at admission and symptomatic HT were associated with a higher risk of developing pneumonia and seizures during hospitalization. Symptomatic HT was also associated with a prolonged length of hospitalization and death and inversely associated with good clinical outcomes at discharge (OR 0.96, 95% CI 0.94-0.98, p<0.001). In an adjusted analysis, even asymptomatic HT was independently associated with worse clinical outcomes at discharge (mRS 4-6) (OR 5.99, 95% CI 1.83-19.58, p = 0.003). CONCLUSIONS: Symptomatic HT is associated with a higher risk of clinical complications, prolonged hospitalization, death and worse clinical outcome at discharge. Furthermore, even patients with asymptomatic HT had a higher chance of worse clinical outcomes at discharge.

Sleep disorders in NiemannPick disease type C, beyond cataplexy.

PURPOSE: The aim of this study was to clinically characterize sleep disorders in a cohort of Niemann-Pick type C (NPC) patients, correlating these findings with disease features and polysomnographic (PSG) results. METHODS: We evaluated eight consecutive patients with molecular confirmation of NPC followed at the Hospital Geral de Fortaleza. Patients underwent a comprehensive neurological and sleep evaluation. Four participants underwent polysomnography and then performed the multiple sleep latency test. RESULTS: All eight patients evaluated had sleep disorders. Four participants performed polysomnography followed by multiple sleep latency test. Chronic insomnia and Obstructive Sleep Apnea (OSA) were the most frequent sleep disorders (62,5%). Two patients were diagnosed with Restless Legs Syndrome (RLS) (25%) and two with probable REM sleep behavior disorder (RBD) (25%). All the patients who did polysomnography had reduced and/or disorganized sleep, with reduction on sleep efficiency, total sleep time and REM sleep time. CONCLUSION: Our results suggest that sleep abnormalities in Niemann-Pick type C patients may be more prevalent than previously thought.