Introduction: Multiple risk factors of mortality have been identified in patients with COVID-19. Here, we sought to determine the effect of a history of neurological disorder and development of neurological manifestations on mortality in hospitalized patients with COVID-19.Methods: From March 20 to May 20, 2020, hospitalized patients with laboratory confirmed or highly suspected COVID-19 were identified at four hospitals in Ohio. Previous history of neurological disease was classified by severity (major or minor). Neurological manifestations during disease course were also grouped into major and minor manifestations. Encephalopathy, ischemic or hemorrhagic stroke, and seizures were defined as major manifestations, whereas minor neurological manifestations included headache, anosmia, dysgeusia, dizziness or vertigo, and myalgias. Multivariate logistic regression models were used to determine significant predictors of mortality in patients with COVID-19 infection.Results: 574/626 hospitalized patients were eligible for inclusion. Mean age of the 574 patients included in the analysis was 62.8 (SD 17.6), with 298 (51.9%) women. Of the cohort, 240(41.8%) patients had a prior history of neurological disease (HND), of which 204 (35.5%) had a major history of neurological disease (HND). Mortality rates were higher in patients with a major HND (30.9 vs. 15.4%; p = 0.00002), although this was not a significant predictor of death. Major neurological manifestations were recorded in 203/574 (35.4%) patients during disease course. The mortality rate in patients who had major neurological manifestations was 37.4% compared to 11.9% (p = 2 × 10 −12 ) in those who did not. In multivariate analysis, major neurological manifestation (OR 2.1,; p = 0.002) was a predictor of death. Conclusions: In this retrospective study, history of pre-existing neurological disease in hospitalized COVID-19 patients did not impact mortality; however, development of major neurological manifestations during disease course was found to be an independent predictor of death. Larger studies are needed to validate our findings.
The competency-based model has been guiding medical education on an international level over the last decades [1]. This model is learner-centered and has mastery of specific knowledge and skills as its unit of progression [2]. In the realm of electroencephalography (EEG), there have been continued efforts to ensure that residents have the competence to accurately and reliably interpret EEGs by the time they complete residency training. Achieving this goal is imperative, especially in countries where EEGs are typically read by neurologists without clinical neurophysiology or epilepsy fellowship training [3,4], due to the deleterious consequences of EEG misinterpretation and epilepsy misdiagnosis [3]. In an attempt to define minimum EEG competency milestones, we herein propose a prioritized list of routine EEG findings that all adult and child neurology residents should be able to identify and interpret on completion of training. Resident EEG education is guided by well-formulated milestones proposed by organizations such as the Accreditation Council for Graduate Medical Education (ACGME) [5] and International League Against Epilepsy (ILAE) [6]. These milestones, however, are not meant to be used to determine whether a trainee is competent to graduate; additionally, the milestones do not specify particular EEG findings that should be mastered by trainees. For example, the ACGME EEG Level 3 milestone encapsulates recognition of "common EEG abnormalities"; these "abnormalities", nonetheless, are not specified. We surveyed a group of EEG/epilepsy experts to delineate a list of routine EEG findings rated by their clinical yield for adult and child neurology resident education. The authors (FN, JJ, MBW, SB) designed an online survey (see supplementary material) in which a comprehensive set of adult and pediatric routine EEG findings were listed under four major sections: normal findings, artifacts, normal variants, and abnormal findings. Neonatal EEG findings were not included. EEG/epilepsy experts were asked to rate each EEG finding on a 5-point Likert rating scale (1 = "not
Glomus tumor is an exceedingly rare neoplasm that is derived from cells of the neuromyoarterial glomus or glomus body. It rarely occurs in the visceral organs where glomus body may be sparse or even absent, such as the stomach, intestines, mediastinum, and respiratory tract. It is unusual for a glomus tumor to demonstrate atypical or malignant histopathological characteristics. It is also rare for such a tumor to express clinically aggressive behavior. However, when metastasis does occur, this disease is often fatal. We herein report an interesting case of a middle-age woman admitted due to progressive cough and hemoptysis. A polypoid mass was found to occlude the left lingular lobar bronchus. Final histopathologic examination showed the presence of malignant glomus tumor, confirmed by immunoreactivity for smooth muscle actin and vimentin. Two months later, the patient developed abdominal distension and gastrointestinal bleeding. Further evaluation lead to the discovery of widespread metastatic disease to the gastrointestinal tract, spleen, and the left adrenal gland. We further entail a review of the literature on the clinicopathologic features and diagnosis of this uncommon tumor.
This study was conducted to examine the relationship between metacognitive awareness of reading strategies (MARS), and academic attainments (AA) of undergraduate business students. It also investigated the relationship between reading practices (RP) and MARS. There are three different categories of MARS-global, problem solving, and support reading strategies. The Metacognitive Awareness of Reading Strategies Inventory (MARSI), developed by Mokhtari and Reichard (2002) was used as the instrument for this study where the sample consisted of 571 male and female students of undergraduate business program from private and public universities of Karachi. The results showed Metacognitive Awareness of Reading Strategies significantly predicts academic attainments of university students. The findings suggest that conducting workshops or training sessions for promoting MARS may be helpful to enhance students' concentration towards the reading process that may affect their learning.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.