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1.
Neuroimmunology Reports ; 2022.
Article in English | EuropePMC | ID: covidwho-1842913

ABSTRACT

Background There have reports of demyelinating syndromes in association with COVID-19 and to a much lesser extent COVID 19 vaccines. The association between demyelination and vaccines, in general, remains controversial. We review a presentation of fulminant demyelination, and discuss antecedent COVID-19 vaccination, the formulation of a broader differential diagnosis and ultimately the pathologic diagnosis. Case Presentation An 80-year-old woman presented with seizure, encephalopathy, quadriparesis and ultimately expired. She received a SARS-CoV-2 vaccine one day prior. Imaging revealed contrast enhancing cerebral lesions, longitudinally extensive transverse myelitis. CSF was markedly inflammatory. Pathologic examination of the CNS lesions revealed demyelination and inflammation beyond white matter, not restricted to a perivenular distribution. Conclusion This case depicts a seemingly fulminant course of a diffuse demyelinating syndrome characterized clinicopathologically as Marburg's variant of multiple sclerosis. There are several unique aspects of this case including the extremely rapid course, the unusual evolution of CSF abnormalities, with hypoglycorrhachia and markedly elevated protein. The proximity to vaccination is a pertinent association to document, though we cannot unequivocally prove causation.

2.
J Gen Intern Med ; 37(9): 2280-2290, 2022 07.
Article in English | MEDLINE | ID: covidwho-1803068

ABSTRACT

Assessing residents and clinical fellows is a high-stakes activity. Effective assessment is important throughout training so that identified areas of strength and weakness can guide educational planning to optimize outcomes. Assessment has historically been underemphasized although medical education oversight organizations have strengthened requirements in recent years. Growing acceptance of competency-based medical education and its logical extension to competency-based time-variable (CB-TV) graduate medical education (GME) further highlights the importance of implementing effective evidence-based approaches to assessment. The Clinical Competency Committee (CCC) has emerged as a key programmatic structure in graduate medical education. In the context of launching a multi-specialty pilot of CB-TV GME in our health system, we have examined several program's CCC processes and reviewed the relevant literature to propose enhancements to CCCs. We recommend that all CCCs fulfill three core goals, regularly applied to every GME trainee: (1) discern and describe the resident's developmental status to individualize education, (2) determine readiness for unsupervised practice, and (3) foster self-assessment ability. We integrate the literature and observations from GME program CCCs in our institutions to evaluate how current CCC processes support or undermine these goals. Obstacles and key enablers are identified. Finally, we recommend ways to achieve the stated goals, including the following: (1) assess and promote the development of competency in all trainees, not just outliers, through a shared model of assessment and competency-based advancement; (2) strengthen CCC assessment processes to determine trainee readiness for independent practice; and (3) promote trainee reflection and informed self-assessment. The importance of coaching for competency, robust workplace-based assessments, feedback, and co-production of individualized learning plans are emphasized. Individual programs and their CCCs must strengthen assessment tools and frameworks to realize the potential of competency-oriented education.


Subject(s)
Clinical Competence , Internship and Residency , Competency-Based Education , Education, Medical, Graduate , Humans , Self-Assessment
3.
Neurol Neuroimmunol Neuroinflamm ; 8(6)2021 11.
Article in English | MEDLINE | ID: covidwho-1376615

ABSTRACT

BACKGROUND AND OBJECTIVES: Since the onset of the COVID-19 pandemic, a growing number of reports have described cases of acute disseminated encephalomyelitis (ADEM) and acute hemorrhagic leukoencephalitis (AHLE) following infection with COVID-19. Given their relatively rare occurrence, the primary objective of this systematic review was to synthesize their clinical features, response to treatments, and clinical outcomes to better understand the nature of this neurologic consequence of COVID-19 infection. METHODS: Patients with a history of COVID-19 infection were included if their reports provided adequate detail to confirm a diagnosis of ADEM or AHLE by virtue of clinical features, radiographic abnormalities, and histopathologic findings. Cases purported to be secondary to vaccination against COVID-19 or occurring in the context of a preexisting relapsing CNS demyelinating disease were excluded. Case reports and series were identified via PubMed on May 17, 2021, and 4 additional cases from the authors' hospital files supplemented the systematic review of the literature. Summary statistics were used to describe variables using a complete case analysis approach. RESULTS: Forty-six patients (28 men, median age 49.5 years, 1/3 >50 years old) were analyzed, derived from 26 case reports or series originating from 8 countries alongside 4 patient cases from the authors' hospital files. COVID-19 infection was laboratory confirmed in 91% of cases, and infection severity necessitated intensive care in 67%. ADEM occurred in 31 cases, whereas AHLE occurred in 15, with a median presenting nadir modified Rankin Scale score of 5 (bedridden). Anti-MOG seropositivity was rare (1/15 patients tested). Noninflammatory CSF was present in 30%. Hemorrhage on brain MRI was identified in 42%. Seventy percent received immunomodulatory treatments, most commonly steroids, IV immunoglobulins, or plasmapheresis. The final mRS score was ≥4 in 64% of patients with adequate follow-up information, including 32% who died. DISCUSSION: In contrast to ADEM cases from the prepandemic era, reported post-COVID-19 ADEM and AHLE cases were often advanced in age at onset, experienced severe antecedent infection, displayed an unusually high rate of hemorrhage on neuroimaging, and routinely had poor neurologic outcomes, including a high mortality rate. Findings are limited by nonstandardized reporting of cases, truncated follow-up information, and presumed publication bias.


Subject(s)
COVID-19/complications , Encephalomyelitis, Acute Disseminated/etiology , Brain/diagnostic imaging , Brain/pathology , Encephalomyelitis, Acute Disseminated/mortality , Encephalomyelitis, Acute Disseminated/physiopathology , Encephalomyelitis, Acute Disseminated/therapy , Glucocorticoids/therapeutic use , Humans , Immunoglobulins, Intravenous/therapeutic use , Immunologic Factors/therapeutic use , Intensive Care Units , Leukoencephalitis, Acute Hemorrhagic/etiology , Leukoencephalitis, Acute Hemorrhagic/mortality , Leukoencephalitis, Acute Hemorrhagic/physiopathology , Leukoencephalitis, Acute Hemorrhagic/therapy , Magnetic Resonance Imaging , Plasmapheresis , SARS-CoV-2 , Severity of Illness Index
4.
J Immunother Cancer ; 9(7)2021 07.
Article in English | MEDLINE | ID: covidwho-1318086

ABSTRACT

Expanding the US Food and Drug Administration-approved indications for immune checkpoint inhibitors in patients with cancer has resulted in therapeutic success and immune-related adverse events (irAEs). Neurologic irAEs (irAE-Ns) have an incidence of 1%-12% and a high fatality rate relative to other irAEs. Lack of standardized disease definitions and accurate phenotyping leads to syndrome misclassification and impedes development of evidence-based treatments and translational research. The objective of this study was to develop consensus guidance for an approach to irAE-Ns including disease definitions and severity grading. A working group of four neurologists drafted irAE-N consensus guidance and definitions, which were reviewed by the multidisciplinary Neuro irAE Disease Definition Panel including oncologists and irAE experts. A modified Delphi consensus process was used, with two rounds of anonymous ratings by panelists and two meetings to discuss areas of controversy. Panelists rated content for usability, appropriateness and accuracy on 9-point scales in electronic surveys and provided free text comments. Aggregated survey responses were incorporated into revised definitions. Consensus was based on numeric ratings using the RAND/University of California Los Angeles (UCLA) Appropriateness Method with prespecified definitions. 27 panelists from 15 academic medical centers voted on a total of 53 rating scales (6 general guidance, 24 central and 18 peripheral nervous system disease definition components, 3 severity criteria and 2 clinical trial adjudication statements); of these, 77% (41/53) received first round consensus. After revisions, all items received second round consensus. Consensus definitions were achieved for seven core disorders: irMeningitis, irEncephalitis, irDemyelinating disease, irVasculitis, irNeuropathy, irNeuromuscular junction disorders and irMyopathy. For each disorder, six descriptors of diagnostic components are used: disease subtype, diagnostic certainty, severity, autoantibody association, exacerbation of pre-existing disease or de novo presentation, and presence or absence of concurrent irAE(s). These disease definitions standardize irAE-N classification. Diagnostic certainty is not always directly linked to certainty to treat as an irAE-N (ie, one might treat events in the probable or possible category). Given consensus on accuracy and usability from a representative panel group, we anticipate that the definitions will be used broadly across clinical and research settings.


Subject(s)
Drug-Related Side Effects and Adverse Reactions/diagnosis , Immune Checkpoint Inhibitors/adverse effects , Immunotherapy/adverse effects , Nervous System Diseases/diagnosis , Practice Guidelines as Topic , Consensus , Humans , Nervous System Diseases/chemically induced , Nervous System Diseases/immunology , Neurologists/statistics & numerical data , Oncologists/statistics & numerical data , Patient Care Team/organization & administration , Patient Care Team/statistics & numerical data
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