C19TM: A nurse practitioner and physician assistant–led telemonitoring initiative ensures timely transfer of critically ill coronavirus disease 2019 patients
ABSTRACT The coronavirus disease 2019 (COVID-19) pandemic has required swift implementation of innovative practices in health care across the globe. We describe a nurse practitioner (NP) and physician assistant (PA)–led initiative to implement telemonitoring (TM) of noncritical patients with COVID-19 by critical care NPs and PAs (C19TM) for early detection of decompensation and early transfer to the intensive care unit (ICU). Every hospitalized patient with suspected or confirmed COVID-19 received an initial telemedicine consult with a critical care NP or PA. Patients were subsequently monitored via electronic health record once every 12-hour shift for the following indicators: oxygen modality and flow, increase in oxygen requirements, sustained tachypnea, and hemodynamic instability. If signs of decompensation were noted, the NP/PA would remotely reassess the patient, provide recommendations to the hospital internal medicine team, and transfer the patient to the ICU. The primary goal was to avoid cardiopulmonary deterioration requiring aerosol-generating procedures outside of the ICU. Over 65 days, 113 patients (86 suspected and 27 confirmed) were enrolled in C19TM. As a result, there were 13 transfers to the ICU, none of which required an aerosol-generating procedure outside of the ICU.
Carotid Artery Stenosis in a Young Asymptomatic Patient
Background and Purpose: To describe the neurological and cerebrovascular findings in patients who tested positive for SARS-CoV-2 and underwent head imaging in ambulatory and inpatient settings. Methods: Consecutive patients aged ≥18 years with SARS-CoV-2 infection diagnosed or treated at Mayo Clinic sites from 3/11/2020 to 7/23/2020 with head CT or brain MRI within 30 days of SARS-CoV-2 diagnosis were included. Demographics, medical history, indication for SARS-CoV-2 testing, neurologic symptoms, indication for brain imaging, neuroimaging findings, etiology of cerebrovascular events, and hospital course were abstracted from medical records. Results: Of 8,675 patients with SARS-CoV-2, 180 (2.07%) had head imaging. Mean age of the entire cohort was 42 ± 18 years, whereas mean age of those with head imaging was 62 ± 19 years. Common indications for imaging were headache (34.4%), encephalopathy (33.4%), focal neurologic symptom (16.7%), and trauma (13.9%). While 86.1% of patients who underwent head imaging had normal exams, cerebrovascular events occurred in 18 patients (0.21% of the total cohort). Of patients with cerebrovascular events, 8 (44.5%) had acute infarct; 6 (33.3%), acute intracranial hemorrhage; 5 (2.8%), subacute infarct; and 1 (0.6%) posterior reversible encephalopathy syndrome. In the thirteen patients with ischemic stroke, 6 (46.2%) had cryptogenic stroke; 3 (23.1%), other defined causes; 2 (15.4%), small vessel stroke; 1 (7.7%), large vessel stroke; and 1 (7.7%) cardioembolic stroke. Conclusion: In ambulatory and hospitalized patients with SARS-CoV-2 infection, the rate of head imaging is low, with common indications of encephalopathy and headache. Cerebrovascular events occurred rarely, and cryptogenic stroke was the most common stroke mechanism.
Three-tier stratification for CNS COVID-19 to help decide which patients should undergo lumbar puncture with CSF analysis: a case report and literature review
Abstract The COVID-19 pandemic continues to overwhelm global healthcare systems. While the disease primarily causes pulmonary complications, reports of central nervous system (CNS) involvement have recently emerged ranging from encephalopathy to stroke. This raises a practical dilemma for clinicians as to when to pursue neuroimaging and lumbar tap with cerebrospinal fluid (CSF) analysis in COVID-19 patients with neurological symptoms. We present a case of an encephalopathic patient infected with SARS-CoV-2 with no pulmonary symptoms. We propose a three-tier risk stratification for CNS COVID-19 aiming to help clinicians to decide which patients should undergo CSF analysis. The neurological examination remains an integral component of screening and evaluating patients for COVID-19 considering the range of emerging CNS complications.
Incorporation of Telestroke into Neurology Residency Training: “Time Is Brain and Education”
Background: With increasing demand for neurologists, nontraditional health care delivery mechanisms have been developed to leverage this limited resource. Introduction: Telemedicine has emerged as an effective digital solution. Over the past three decades, telemedicine use has steadily grown; however, neurologists often learn on the job, rather than as part of their medical training. The current literature regarding telestroke training during neurology training is sparse, focusing on cerebrovascular fellowship curricula. We sought to enhance telestroke training in our neurology residency by incorporating real-life application. Materials and Methods: We implemented a formal educational model for neurology residents to use telemedicine for remote acquisition of the National Institutes of Health Stroke Scale (NIHSS) for patients with suspected acute ischemic stroke (AIS) before arrival at our comprehensive stroke center. This three-phase educational model involved multidisciplinary classroom didactics, simulation exercises, and real-world experience. Training and feedback were provided by neurologists experienced in telemedicine. Results: All residents completed formal training in telemedicine prehospital NIHSS acquisition and had the opportunity to participate in additional simulation exercises. Currently, residents are gaining additional experience by performing prehospital NIHSS acquisition for patients in whom AIS is suspected. Our preliminary data indicate that resident video encounters average 10.6 min in duration, thus saving time once patients arrive at our hospital. Discussion: To our knowledge, this is the first report of a telestroke-integrated neurology residency program in a comprehensive stroke center resulting in shortened time to treatment in patients with suspected AIS. Conclusions: We present a model that can be adopted by other neurology residency programs as it provides real-world telemedicine training critical to future neurologists.