Publicações
In-Hospital Aspirin Dose as a Risk Factor for Hemorrhagic Transformation in Patients Not Treated With Thrombolysis
Abstract Background: Aspirin is widely used as secondary prophylaxis for acute ischemic stroke. However, its influence on the risk of spontaneous hemorrhagic transformation (HT) is still unclear. Predictive scores of HT have been proposed. We hypothesized that an increased aspirin dose might be harmful in patients at a high risk of HT. This study aimed to analyze the relationship between in-hospital daily aspirin dose (IAD) and HT in patients with acute ischemic stroke. Methods: We conducted a retrospective cohort study of patients admitted to our comprehensive stroke center between 2015 and 2017. The attending team defined IAD. All included patients underwent either computed tomography or magnetic resonance imaging within 7 days of admission. The risk of HT was assessed using the predictive score of HT in patients not undergoing reperfusion therapies. Regression models were used to evaluate the correlations between HT and IAD. Results: A total of 986 patients were included in the final analysis. The prevalence of HT was 19.2%, and parenchymatous hematomas type-2 (PH-2) represented 10% (n=19) of these cases. IAD was not associated with HT (P=0.09) or PH-2 (P=0.06) among all patients. However, in patients at a higher risk for HT (patients not undergoing reperfusion therapies ≥3), IAD was associated with PH-2 (odds ratio 1.01,95% CI 1.001-1.023,P=0.03) in an adjusted analysis. Taking 200 versus 300 mg aspirin was protective against PH-2 (odds ratio 0.102, 95% CI 0.018-0.563, P=0.009). Conclusion: An increased in-hospital aspirin dose is associated with intracerebral hematoma in patients at a high risk of HT. Stratifying the risk of HT may lead to individualized daily aspirin dose choices. However, clinical trials on this topic are required.
A Brazilian series utilizing the SMASH-U system for etiologic classification of intracerebral hemorrhage
Abstract Background Understanding the causes of intracerebral hemorrhage (ICH) is crucial for effective treatment and preventing recurrences. The SMASH-U scale is a suggested method for classifying and predicting the outcomes of ICH. Objective To describe the SMASH-U classification and outcomes by etiology in patients admitted to a comprehensive stroke center in São Paulo, Brazil. Methods A retrospective analysis was conducted on patients admitted to the hospital or outpatient clinic between April 2015 and January 2018. Two stroke neurologists evaluated the SMASH-U classification, and patients with incomplete medical records were excluded. Results Out of the 2000 patients with a stroke diagnosis evaluated, 140 were included in the final analysis. The mean age was 57.9 (± 15.5) years, and 54.3% were male. Hypertension was the most frequent etiology, accounting for 41.4% of cases, followed by amyloid angiopathy (18.5%) and structural lesions (14.1%). Structural lesions were more common among women and patients under 45 years old. Favorable outcomes were observed in 61% of patients with structural lesions, compared to 10% of patients with medication-related etiologies. Conclusion This study provides important evidence regarding the etiological classification of Brazilian patients with ICH. Hypertension and amyloid angiopathy were the most frequent causes, while structural lesions and systemic diseases were more common in younger patients.
Prevalence, Risk Factors and Prognosis of Seizures After Ischemic Stroke
Introduction and objectives: Epileptic seizures (ES) are a recognized complication of stroke, commonly associated with extensive ischemic regions and cortical damage. Despite thorough investigation, reports on the incidence, risk factors, and functional implications of post-stroke ES vary widely in the literature. We aimed to evaluate the predictive factors for post-stroke ES and their effects on the clinical outcome at hospital discharge. Methods: Patients with acute ischemic stroke (AIS) admitted to our stroke unit from 2015 to 2017 were eligible to this study. A multivariable logistic regression modeling was built to assess associated variables with acute symptomatic seizures (AS). We defined AS as seizures that occurred within the period of hospitalization (stroke unit discharge) without a history of seizures with clinical or electroencephalographic evidence. Results: Four hundred ninety-two were included in the final analysis. The patients had a mean of 66.7 (±14.4) years; 56% were male. Thirty-eight (7.7%) patients experienced clinical ES in-hospital, with a higher incidence in those with total anterior circulation syndrome. The NIH Stroke Scale score (odds ratio [OR] 1.07, 95% confidence interval [CI], p = .03) and symptomatic hemorrhagic transformation (HT) (OR: 3.53, 95% CI: 1.38–8.99, p = .01) independently predicted ES. We did not find an association between the occurrence of seizures and unfavorable outcomes (Modified Rankin Scale 3–6) at discharge (OR1.26, 95% CI: 0.3–5.32, p = .75). Patients with seizures had a longer hospital stay (18.5 [11–35] vs. 9 [7–14] days). Conclusions: Patients presenting higher NIH Stroke Scale scores upon admission or experiencing symptomatic HT face an increased risk of in-hospital ES. Nonetheless, acute symptomatic ES following AIS does not independently predict adverse functional outcomes at discharge.
An automated flowchart for the Modified Rankin Scale assessment: a multicenter inter-rater agreement analysis
Background and objective The Modified Rankin Scale (mRS) is a widely adopted scale for assessing stroke recovery. Despite limitations, the mRS has been adopted as primary outcome in most recent clinical acute stroke trials. Designed to be used by multidisciplinary clinical staff, the congruency of this scale is not consistent, which may lead to mistakes in clinical or research application. We aimed to develop and validate an interactive and automated digital tool for assessing the mRS – the iRankin. Methods A panel of five board-certified and mRS-trained vascular neurologists developed an automated flowchart based on current mRS literature. Two international, experts were consulted on content and provided feedback on the prototype platform. The platform contained five vignettes, and five real video cases, representing mRS grades 0-5. For validation, we invited neurological staff from six comprehensive stroke centers to complete an online assessment. Participants were randomized into two equal groups usual practice versus iRankin. The participants were randomly allocated in pairs for the congruency analysis. Weighted kappa (kw) and proportions were used to describe agreement. Results A total of 59 professionals completed the assessment. The weight-Kappa was dramatically improved among Nurses 0.76 (95% CI 0.55-0.97) x 0.30 (0.07-0.67), and among Vascular Neurologists 0.87 (0.72-1) x 0.82 (0.66-0.98). In the accuracy analysis, after the standard mRS values for the vignettes and videos were determined by a panel of experts, and considering each correct answer as equivalent to 1 point on a scale of 0-15, it revealed a higher mean of 10.6 (±2.2) in the iRankin group and 8.2 (±2.3) points in the control group (p=0.02). In an adjusted analysis, the iRankin adoption was independently associated with the score of congruencies between reported and standard scores (Beta-coefficient 2.22, 95% CI 0.64-3.81, p-value= 0.007). Conclusion The iRankin adoption led to a substantial or near-perfect agreement in all analyzed professional categories. More trials are needed to generalize our findings. Our user-friendly and free platform is available at www.irankinscale.com
Waveform Morphology as a Surrogate for ICP Monitoring: A Comparison Between an Invasive and a Noninvasive Method
Background Although the placement of an intraventricular catheter remains the gold standard technique for measuring intracranial pressure (ICP), the method has several limitations. Therefore, noninvasive alternatives to ICP (ICPni) measurement are of great interest. The main objective of this study was to compare the correlation and agreement of wave morphology between ICP (standard intraventricular ICP monitoring) and a new ICPni monitor in patients admitted with stroke. The second objective was to estimate the discrimination of the noninvasive method to detect intracranial hypertension. Methods We prospectively collected data of adults admitted to an intensive care unit with subarachnoid hemorrhage, intracerebral hemorrhage, or ischemic stroke in whom an invasive ICP monitor was placed. Measurements were simultaneously collected from two parameters [time-to-peak (TTP) and the ratio regarding the second and first peak of the ICP wave (P2/P1 ratio)] of ICP and ICPni wave morphology monitors (Brain4care). Intracranial hypertension was defined as an invasively measured sustained ICP > 20 mm Hg for at least 5 min. Results We studied 18 patients (subarachnoid hemorrhage = 14; intracerebral hemorrhage = 3; ischemic stroke = 1) on 60 occasions with a median age of 52 ± 14.3 years. A total of 197,400 waves (2495 min) from both ICP (standard ICP monitoring) and the ICPni monitor were sliced into 1-min-long segments, and we determined TTP and the P2/P1 ratio from the mean pulse. The median invasively measured ICP was 13 (9.8–16.2) mm Hg, and intracranial hypertension was present on 18 occasions (30%). The correlation and agreement between invasive and noninvasive methods for wave morphology were strong for the P2/P1 ratio and moderate for TTP using categoric (κ agreement 88.1% and 71.3%, respectively) and continuous (intraclass correlation coefficient 0.831 and 0.584, respectively) measures. There was a moderate but significant correlation with the mean ICP value (P2/P1 ratio r = 0.427; TTP r = 0.353; p < 0.001 for all) between noninvasive and invasive techniques. The areas under the curve to estimate intracranial hypertension were 0.786 [95% confidence interval (CI) 0.72–0.93] for the P2/P1 ratio and 0.694 (95% CI 0.60–0.74) for TTP. Conclusions The new ICPni wave morphology monitor showed a good agreement with the standard invasive method and an acceptable discriminatory power to detect intracranial hypertension.
Reperfusion therapy for acute ischemic stroke: where are we in 2023?
Over the last three decades, stroke care has undergone significant transformations mainly driven by the introduction of reperfusion therapy and the organization of systems of care. Patients receiving treatment through a well-structured stroke service have a much higher chance of favorable outcomes, thereby decreasing both disability and mortality. In this article, we reviewed the scientific evidence for stroke reperfusion therapy, including thrombolysis and thrombectomy, and its implementation in the public health system in Brazil.
Optic Disc and Retinal Architecture Changes in Patients with Spinocerebellar Ataxia Type 2
Background ATXN2 is the causative gene of spinocerebellar ataxia type 2 (SCA2) and has been implicated in glaucoma pathogenesis. Therefore, studying ocular changes in SCA2 could uncover clinically relevant changes. Objective The aim was to investigate optic disc and retinal architecture in SCA2. Methods We evaluated 14 patients with SCA2 and 26 controls who underwent intraocular pressure measurement, fundoscopy, and macular and peripapillary spectral domain optical coherence tomography (SD-OCT). We compared SD-OCT measurements in SCA2 and controls, and the frequency of glaucomatous changes among SCA2, controls, and 76 patients with other SCAs (types 1, 3, 6, and 7). Results The macula, peripapillary retinal nerve fiber and inner plexiform layers were thinner in SCA2 than in controls. Increased cup-to-disc ratio was more frequent in SCA2 than in controls and other SCAs. Conclusions Ocular changes are part of SCA2 phenotype. Future studies should further investigate retinal and optic nerve architecture in this disorder.
Predictors of congruency between clinical and radiographic Oxfordshire Community Stroke Project Classification subtypes
Background The Oxfordshire Community Stroke Project (OCSP) classification has been widely used to assess ischemic stroke patients based on clinical characteristics alone. However, the correlation between the clinical presentation evaluated using OCSP and imaging findings is yet to be determined. Our study aimed to describe the baseline characteristics of the OCSP subtypes of patients admitted with ischemic stroke and evaluate the predictors of the relationship between clinical and neuroimaging findings. Methods Patients with a confirmed diagnosis of ischemic stroke admitted to a comprehensive stroke center in Brazil between February 2015 and October 2017 were eligible for the study. All participants underwent computed tomography (CT) at admission and follow-up neuroimaging within seven days, per the institutional protocol. Trained staff classified patients according to the OCSP at hospital admission. The radiographic OCSP classification was retrospectively assessed based on the last follow-up neuroimaging by investigators unaware of the clinical classification. Results The overall agreement rates ranged from 65.5% to 88.7%. Lower NIHSS scores, absent hyperdense MCA sign, higher ASPECTS, and absent brainstem symptoms were related to a higher risk of misclassification. Treatment with intravenous tPA was associated with reclassification in patients with total anterior circulation syndrome. For predicting radiographic posterior circulation involvement, vertigo (OR 2.9, 95% CI 1.7–5.1, p < 0.001) and brainstem symptoms (OR 35, 95% CI 20.5–60.2, p < 0.001) were directly associated with correct classification, but motor and higher cerebral function were not correlated. Conclusion The clinical OCSP classification presented good congruency rates with the neuroimaging findings. However, patients with lacunar syndromes are often misclassified when radiological criteria are considered.
Multimodal monitoring intracranial pressure by invasive and noninvasive means
Although the placement of an intraventricular catheter remains the gold standard method for the diagnosis of intracranial hypertension (ICH), the technique has several limitations including but not limited to its invasiveness. Current noninvasive methods, however, still lack robust evidence to support their clinical use. We aimed to estimate, as an exploratory hypothesis generating analysis, the discriminative power of four noninvasive methods to diagnose ICH. We prospectively collected data from adult intensive care unit (ICU) patients with subarachnoid hemorrhage (SAH), intraparenchymal hemorrhage (IPH), and ischemic stroke (IS) in whom invasive intracranial pressure (ICP) monitoring had been placed. Measures were simultaneously collected from the following noninvasive methods: optic nerve sheath diameter (ONSD), pulsatility index (PI) using transcranial Doppler (TCD), a 5-point visual scale designed for brain Computed Tomography (CT), and two parameters (time-to-peak [TTP] and P2/P1 ratio) of a noninvasive ICP wave morphology monitor (Brain4Care[B4c]). ICH was defined as a sustained ICP > 20 mmHg for at least 5 min. We studied 18 patients (SAH = 14; ICH = 3; IS = 1) on 60 occasions with a mean age of 52 ± 14.3 years. All methods were recorded simultaneously, except for the CT, which was performed within 24 h of the other methods. The median ICP was 13 [9.8–16.2] mmHg, and intracranial hypertension was present on 18 occasions (30%). Median values from the noninvasive techniques were ONSD 4.9 [4.40–5.41] mm, PI 1.22 [1.04–1.43], CT scale 3 points [IQR: 3.0], P2/P1 ratio 1.16 [1.09–1.23], and TTP 0.215 [0.193–0.237]. There was a significant statistical correlation between all the noninvasive techniques and invasive ICP (ONSD, r = 0.29; PI, r = 0.62; CT, r = 0.21; P2/P1 ratio, r = 0.35; TTP, r = 0.35, p < 0.001 for all comparisons). The area under the curve (AUC) to estimate intracranial hypertension was 0.69 [CIs = 0.62–0.78] for the ONSD, 0.75 [95% CIs 0.69–0.83] for the PI, 0.64 [95%Cis 0.59–069] for CT, 0.79 [95% CIs 0.72–0.93] for P2/P1 ratio, and 0.69 [95% CIs 0.60–0.74] for TTP. When the various techniques were combined, an AUC of 0.86 [0.76–0.93]) was obtained. The best pair of methods was the TCD and B4cth an AUC of 0.80 (0.72–0.88). Noninvasive technique measurements correlate with ICP and have an acceptable discrimination ability in diagnosing ICH. The multimodal combination of PI (TCD) and wave morphology monitor may improve the ability of the noninvasive methods to diagnose ICH. The observed variability in non-invasive ICP estimations underscores the need for comprehensive investigations to elucidate the optimal method-application alignment across distinct clinical scenarios.
Accuracy of predictive scores of hemorrhagic transformation in patients with acute ischemic stroke
Background: Hemorrhagic transformation (HT) is a complication in ischemic strokes, regardless of use of reperfusion therapy (RT). There are many predictive scores for estimating the risk of HT. However, most of them include patients also treated with RT. Therefore, this may lead to a misinterpretation of the risk of HT in patients who did not undergo RT. Objective: We aimed to review published predictive scores and analyze their accuracy in our dataset. Methods: We analyzed the accuracy of seven scales. Our dataset was derived from a cohort of 1,565 consecutive patients from 2015 to 2017 who were admitted to a comprehensive stroke center. All patients were evaluated with follow-up neuroimaging within seven days. Comparison of area under the curve (AUC) was performed on each scale, to analyze differences between patients treated with recombinant tissue plasminogen activator (tPA) and those without this treatment. Results: Our dataset provided enough data to assess seven scales, among which six were used among patients with and without tPA treatment. HAT (AUC 0.76), HTI (0.73) and SEDAN (0.70) were the most accurate scores for patients not treated with tPA. SPAN-100 (0.55) had the worst accuracy in both groups. Three of these scores had different cutoffs between study groups. Conclusions: The predictive scores had moderate to fair accuracy for predicting HT in patients treated with tPA. Three scales were more accurate for predicting HT in patients not treated with tPA. Through standardizing these characteristics and including more patients not treated with RT in a large multicenter series, accurate predictive scores may be created.
Retinal Architecture in Autosomal Recessive Spastic Ataxia of Charlevoix-Saguenay (ARSACS): Insights into Disease Pathogenesis and Biomarkers
Background Autosomal recessive spastic ataxia of Charlevoix-Saguenay (ARSACS) causes unique retinal abnormalities, which have not been systematically investigated. Objective To deeply phenotype the retina in ARSACS in order to better understand its pathogenesis and identify potential biomarkers. Methods We evaluated 29 patients with ARSACS, 66 with spinocerebellar ataxia (SCA), 38 with autosomal recessive cerebellar ataxia (ATX), 22 with hereditary spastic paraplegia (SPG), 21 cases of papilledema, and 20 healthy controls (total n = 196 subjects). Participants underwent visual acuity assessment, intraocular pressure measurement, fundoscopy, and macular and peripapillary optical coherence tomography (OCT). Macular layers thicknesses in ARSACS were compared with those of age-matched healthy controls. Ophthalmologists analyzed the scans for abnormal signs in the different patient groups. Linear regression analysis was conducted to look for associations between retinal changes and age, age at onset, disease duration, and Scale for the Assessment and Rating of Ataxia (SARA) scores in ARSACS. Results Only patients with ARSACS exhibited peripapillary retinal striations (82%) on fundoscopy, and their OCT scans revealed foveal hypoplasia (100%), sawtooth appearance (89%), papillomacular fold (86%), and macular microcysts (18%). Average peripapillary retinal nerve fiber layer (pRNFL) was thicker in ARSACS than in SCA, ATX, SPG, and controls; a cut-off of 121 μm was 100% accurate in diagnosing ARSACS. All macular layers were thicker in ARSACS when compared to healthy controls. RNFL thickness in the inferior sector of the macula positively correlated with SARA scores. Conclusions Retinal abnormalities are highly specific for ARSACS, and suggest retinal hyperplasia due to abnormal retinal development. OCT may provide potential biomarkers for future clinical trials.
Brazilian practice guidelines for stroke rehabilitation: Part II
The Brazilian Practice Guidelines for Stroke Rehabilitation – Part II, developed by the Scientific Department of Neurological Rehabilitation of the Brazilian Academy of Neurology (Academia Brasileira de Neurologia, in Portuguese), focuses on specific rehabilitation techniques to aid recovery from impairment and disability after stroke. As in Part I, Part II is also based on recently available evidence from randomized controlled trials, systematic reviews, meta-analyses, and other guidelines. Part II covers disorders of communication, dysphagia, postural control and balance, ataxias, spasticity, upper limb rehabilitation, gait, cognition, unilateral spatial neglect, sensory impairments, home rehabilitation, medication adherence, palliative care, cerebrovascular events related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, the future of stroke rehabilitation, and stroke websites to support patients and caregivers. Our goal is to provide health professionals with more recent knowledge and recommendations for better rehabilitation care after stroke.
Predicting hemorrhagic transformation in posterior circulation stroke patients not treated with reperfusion therapies
Introduction Posterior Circulation (PC) stroke represents one-fifth of all ischemic strokes, with peculiar physiological characteristics. Hemorrhagic Transformation (HT) is a dreaded complication among stroke patients. Many predictive scores of this complication have been proposed, but none is designed specifically for PC stroke patients – therefore, patients who are not eligible for reperfusion therapies (RT) represent about 80% of hospitalized cases. We propose a scoring system to assess the HT risk in PC stroke patients not submitted to RT. Methods We retrospectively evaluated data of patients diagnosed with PC stroke not treated with RT from 5 Comprehensive Stroke Centers (four in Brazil, 1 in the US) from 2015 to 2018. All patients underwent CT scan or MRI at admission and a follow-up neuroimaging within seven days. Independent variables identified in a logistic regression analysis were used to produce a predictive grading score. Results We included 952 patients in the final analysis. The overall incidence of HT was 8.7%. Male gender (1 point), NIH Stroke Scale at admission ≥ 5 points (1), blood glucose at admission ≥ 160 mg/dL (1), and cardioembolism (2) were independently associated with HT. The AUC of the grading score (0 to 5 points) was 0.713 (95% CI 0.65–0.78). Subjects with a score ≥ 3 points had an OR of 4.8 (95% CI 2.9–7.9, p < 0.001) for HT. Conclusions Our score has good accuracy in identifying patients at higher risk of HT. This score may be useful for evaluating secondary prevention and stratifying patients in the context of even clinical trials.
Predictors of hemorrhagic transformation differences between patients treated or not with reperfusion therapy
Background Hemorrhagic transformation (HT) is a dreaded complication in stroke patients who were treated or not with recombinant tissue plasminogen activator (tPA). There are many predictive scores of HT, but all of them included patients treated with tPA. Molecular effects of tPA and clinical aspects of eligible patients for tPA therapy may imply specific HT's risk factors. We aimed to describe HT's characteristics and risk factors in patients treated or not with tPA. Methods We included 1565 consecutive stroke patients admitted to a Comprehensive Stroke Center, from 2015 to 2017. All included patients underwent a follow-up neuroimaging within seven days after admission. From a logistic regression model, we derived a score based on the beta-coefficients. The accuracy of the models was attested by Receiver Operating Characteristic analysis. Results Low ASPECTS, blood glucose ≥ 180 mg/dL, tPA treatment, and cardio-aortic embolism were predictors of HT. Male sex, leukoaraiosis, and hyperdense MCA sign were associated with HT in non-treated patients. Diastolic blood pressure ≥ 105 mmHg was a risk factor only in non-treated patients. The cutoff of our predictive score of HT was higher in patients not treated with tPA (5 vs 2 points). Conclusions High arterial blood pressure was associated with HT only in patients treated with tPA. Different cutoffs and accuracy measurements suggest that scoring systems derived from patients treated with tPA may not be efficient to predict HT in non-treated patients. Further directions indicate considering the use of reperfusion therapies to select the most accurate predictive variables of HT.
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.
Clinical and Epidemiological Characterization of Neurological Consults: When a Neurological Evaluation Is Requested
Background and Objectives: Medical consultation by a specialist physician consists of an evaluation to review diagnosis and management of patients with some neurological conditions referred from other specialty wards. This mode of care delivery has gained relevance in the field of neurology and adequate training on it is valuable, allowing neurologists to provide state-of-the-art management to patients with neurological manifestations. The present study aimed to characterize neurology consults and to discuss the roles of the neurologist within a hospital setting. Methods: A prospective analysis of neurological consultations provided to inpatients of a university hospital in São Paulo, Brazil, was performed from September 2016 to September 2017. These patients were followed by the principal investigator, who was not involved in their care. Results: We evaluated data from 117 female and 106 male inpatients with a mean age of 53.8 ± 2.4. The medical specialties that most frequently requested neurological consultations were Internal Medicine (17%), Cardiology (11.2%) and Pulmonology (9.4%). The main reasons for a neurology consultation request were seizures (15.6%); decreased level of consciousness (8.9%) and confusion (7.1%). The most frequent diagnosis in patients receiving a neurology consult were stroke (10.2%); hypoxic-ischemic encephalopathy (5.3%) and sepsis (2.2%). Conclusion: Our findings show the growing importance of the role of neurologists within hospital settings as many medical conditions present with neurological manifestations and the significance of the neurohospitalist model of care.
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.
Characterization of Retinal Architecture in Spinocerebellar Ataxia Type 3 and Correlation with Disease Severity
Background Neurodegeneration affects the brain and peripheral nervous system in spinocerebellar ataxia type 3 (SCA3). As the retina is also involved, studying the retinal architecture in a cohort of patients could reveal clinically relevant biomarkers. Objective The aim is to investigate retinal architecture in SCA3 to identify potential biomarkers. Methods We evaluated 38 patients with SCA3 and 25 healthy age-matched controls, who underwent visual acuity assessment, intraocular pressure measurement, and fundoscopy and macular and peripapillary spectral domain optical coherence tomography (SD-OCT). We measured the peripapillary retinal nerve fiber layer (pRNFL) thickness in each quadrant of the temporal-superior-nasal-inferior-temporal chart and the macular layer thicknesses in each sector of the inner circle of the Early Treatment Diabetic Retinopathy Study (IC-ETDRS) grid. Linear regression analysis was employed to test the associations between retinal parameters and age, disease duration, CAG repeats, and SARA (Scale of the Assessment and Rating of Ataxia) and ICARS (International Cooperative Ataxia Rating Scale) scores in SCA3. Results In all sectors, except for the temporal quadrant, pRNFL was significantly thinner in SCA3 patients than in controls. Average total macular, ganglion cell layer (GCL), and inner plexiform layer (IPL) thicknesses were significantly decreased in SCA3 patients in comparison to controls. The average total macular thickness and the average thicknesses of RNFL, GCL, and IPL negatively correlated with ICARS scores, whereas average GCL and IPL thicknesses negatively correlated with SARA scores. Conclusions The retinal ganglion cells, their dendrites, and axons are selectively affected in SCA3 patients. The RNFL, GCL, and IPL thicknesses in SD-OCT correlate with the clinical phenotype and represent potential biomarkers for future clinical trials and natural history studies. © 2021 International Parkinson and Movement Disorder Society