Faculty Bibliography

INTRODUCTION/BACKGROUND:Intraoperative neurophysiological monitoring (IONM) is widely used to prevent nervous system injury during surgeries in elderly patients. However, there are no studies that describe the characteristics and changes in neurophysiological tests during the IONM of patients aged 60 years and older. The study aims to describe and compare IONM changes during surgeries in adult patients aged 18 to 59 years with those aged 60 years and older. METHODS:We performed a comparative retrospective study of patients aged 18 to 59 years versus those 60 aged years and older who underwent IONM during 2013 to 2018 in Mexico City. Sociodemographic characteristics were recorded and compared. Intraoperative neurophysiological monitoring techniques, their changes, and surgical procedures for both groups were analyzed and compared using descriptive statistics, Mann-Whitney U, Fisher, and χ tests. The sensitivity, specificity, and positive and negative predictive values were calculated. RESULTS:In total, 195 patients were analyzed: 104 patients, 68.63 ± 6.54 years old (elderly group) and 91 patients, 42.3 ± 10.5 years old (younger group). No differences were found in the rates of signal change during IONM between the group of elderly patients and the younger group. The sensitivity, specificity, and positive and negative predictive values were 80%, 99%, 80%, and 99%, respectively. CONCLUSIONS:Elderly patients have a similar rate of changes in IONM signals compared with younger patients during heterogeneous surgeries guided by IONM.

Multiple system atrophy (MSA) is a neurodegenerative disorder characterized by a combination of autonomic failure plus cerebellar syndrome and/or parkinsonism. Dysphagia is a frequent and disabling symptom in MSA and its occurrence within 5 years of motor onset is an additional diagnostic feature. Dysphagia can lead to aspiration pneumonia, a recognized cause of death in MSA. Guidelines for diagnosis and management of dysphagia in MSA are lacking. An International Consensus Conference among experts with methodological support was convened in Bologna to reach consensus statements for the diagnosis, prognosis, and treatment of dysphagia in MSA. Abnormalities of the oral and pharyngeal phases of swallowing, esophageal dysfunction and aspiration occur in MSA and worsen as the disease progresses. According to the consensus, dysphagia should be investigated through available screening questionnaires and clinical and instrumental assessment (videofluoroscopic study or fiberoptic endoscopic evaluation of swallowing and manometry) at the time of MSA diagnosis and periodically thereafter. There is evidence that dysphagia is associated with poor survival in MSA, however effective treatments for dysphagia are lacking. Compensatory strategies like diet modification, swallowing maneuvers and head postures should be applied and botulinum toxin injection may be effective in specific conditions. Percutaneous endoscopic gastrostomy may be performed when there is a severe risk of malnutrition and pulmonary complications, but its impact on survival is undetermined. Several research gaps and unmet needs for research involving diagnosis, prognosis, and treatment were identified.

OBJECTIVE:To analyze electronic diary (e-diary) use in a phase 2, randomized, controlled clinical trial (OPUS; NCT03283371) of natalizumab in adult participants with drug-resistant focal epilepsy. METHODS:We developed an e-diary, which incorporated an episodic seizure diary and a daily diary reminder, for use as the primary source to record participants' daily seizure activity in the OPUS phase 2 clinical trial. Participants and/or their designated caregivers made e-diary entries by selecting seizure descriptions generated in the participants' and/or caregivers' own words at the time of screening. Seizures and seizure-free days were reported for the current day and for up to 5 and 4 retrospective days, respectively. A record of seizure symptoms entered within the prior 5-day period was displayed on accessing the diary. Changes were not permitted in the e-diary once a seizure record was saved unless a data change request was made. A paper backup diary was available. RESULTS:E-diary entries (N = 15,176) from the 6-week baseline period and subsequent 24-week placebo-controlled period were analyzed for 66 adults who were randomized and dosed in the OPUS trial. The overall e-diary compliance, defined as the total number of days with any entry out of the total number of days in the baseline and placebo-controlled periods for all participants combined, was 83.6%. Caregivers made 190 (1.3%) e-diary entries. Day-of-event e-diary entries totaled 11,248 (74.1%). At least one paper backup diary was used by 36 (54.5%) participants. SIGNIFICANCE:Our data highlight that good e-diary compliance can be achieved across participants in randomized clinical trials in adult focal epilepsy. In addition to identifying and addressing any barriers that may prevent a minority of participants from achieving good e-diary compliance, consideration of e-diary elements, such as recall period and reporting of seizure-free days, will facilitate the most accurate data capture in epilepsy clinical trials.

OBJECTIVE:We sought to investigate the patient experience of telemedicine for headache care during the coronavirus disease 2019 (COVID-19) pandemic. BACKGROUND:The use of telemedicine has rapidly expanded and evolved since the beginning of the COVID-19 pandemic. Telemedicine eliminates the physical and geographic barriers to health care, preserves personal protective equipment, and prevents the spread of COVID-19 by allowing encounters to happen in a socially distanced way. However, few studies have assessed the patient perspective of telemedicine for headache care. METHODS:The American Migraine Foundation (AMF) designed a standardized electronic questionnaire to assess the patient experience of telemedicine for headache care between March and September 2020 to help inform future quality improvement as part of its patient advocacy initiative. The date parameters were identified as the emergence of severe acute respiratory syndrome coronavirus 2 disease and the declaration of a national emergency in the United States. The questionnaire was distributed electronically to more than 100,000 members of the AMF community through social media platforms and the AMF email database. RESULTS:A total of 1172 patients responded to our electronic questionnaire, with 1098 complete responses. The majority, 1081/1153 (93.8%) patients, had a previous headache diagnosis prior to the telemedicine encounter. A total of 648/1127 (57.5%) patients reported that they had used telemedicine for headache care during the study period. Among those who participated in telehealth visits, 553/647 (85.5%) patients used it for follow-up visits; 94/647 (14.5%) patients used it for new patient visits. During the telemedicine encounters, 282/645 (43.7%) patients were evaluated by headache specialists, 222/645 (34.4%) patients by general neurologists, 198/645 (30.7%) patients by primary care providers, 73/645 (11.3%) patients by headache nurse practitioners, and 21/645 (3.2%) patients by headache nurses. Only 47/633 (7.4%) patients received a new headache diagnosis from telemedicine evaluation, whereas the other 586/633 (92.6%) patients did not have a change in their diagnoses. During these visits, a new treatment was prescribed for 358/636 (52.3%) patients, whereas 278/636 (43.7%) patients did not have changes made to their treatment plan. The number (%) of patients who rated the telemedicine headache care experience as "very good," "good," "fair," "poor," and "other" were 396/638 (62.1%), 132/638 (20.7%), 67/638 (10.5%), 23/638 (3.6%), and 20/638 (3.1%), respectively. Detailed reasons for "other" are listed in the manuscript. Most patients, 573/638 (89.8%), indicated that they would prefer to continue to use telemedicine for their headache care, 45/638 (7.1%) patients would not, and 20/638 (3.1%) patients were unsure. CONCLUSIONS:Our study evaluating the patient perspective demonstrated that telemedicine facilitated headache care for many patients during the COVID-19 pandemic, resulting in high patient satisfaction rates, and a desire to continue to use telemedicine for future headache care among those who completed the online survey.

OBJECTIVE:To characterize patients with coronavirus disease 2019 (COVID-19) who presented primarily with neurologic symptoms without typical COVID-19 symptoms of fever, cough, and dyspnea. METHODS:We retrospectively identified COVID-19-positive patients 18 years and older that had neurology symptoms on presentation requiring neurology consultation between March 14, 2020 and May 18, 2020. The patients were then classified into those with typical COVID-19 symptoms and those without. Demographic, clinical symptoms, laboratory result, and clinical outcomes were collected. RESULTS:Out of 282 patients who had neurology consult during this period, we identified 56 (mean age 69.2 years, 57% women) who tested COVID-19-positive and had neurologic symptoms on initial presentation. Of these, 23 patients (mean age 65.2 years, 52% women) had no typical COVID-19 symptoms while 33 did (mean age 72.2 years, 60% woman). In both groups, impaired consciousness was the most common initial neurologic symptom, followed by stroke, unsteady gait, headache, seizure, syncopal event, acute vision changes, and intracranial hemorrhage. Out of the 23 patients without typical COVID-19 symptoms on presentation, 10 went on to develop typical symptoms with 8 needing supplemental oxygen and one requiring mechanical ventilation. CONCLUSION/CONCLUSIONS:Patients who have COVID-19 can present with serious neurologic symptoms such as impaired consciousness and stroke even without typical COVID-19 symptoms. Those without typical COVID-19 symptoms can later develop typical symptoms severe enough to need respiratory support.

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Image labeling using convolutional neural networks (CNNs) are a template-free alternative to traditional morphometric techniques. We trained a 3D deep CNN to label the hippocampus and amygdala on whole brain 700 μm isotropic 3D MP2RAGE MRI acquired at 7T. Manual labels of the hippocampus and amygdala were used to (i) train the predictive model and (ii) evaluate performance of the model when applied to new scans. Healthy controls and individuals with epilepsy were included in our analyses. Twenty-one healthy controls and sixteen individuals with epilepsy were included in the study. We utilized the recently developed DeepMedic software to train a CNN to label the hippocampus and amygdala based on manual labels. Performance was evaluated by measuring the dice similarity coefficient (DSC) between CNN-based and manual labels. A leave-one-out cross validation scheme was used. CNN-based and manual volume estimates were compared for the left and right hippocampus and amygdala in healthy controls and epilepsy cases. The CNN-based technique successfully labeled the hippocampus and amygdala in all cases. Mean DSC = 0.88 ± 0.03 for the hippocampus and 0.8 ± 0.06 for the amygdala. CNN-based labeling was independent of epilepsy diagnosis in our sample (p = .91). CNN-based volume estimates were highly correlated with manual volume estimates in epilepsy cases and controls. CNNs can label the hippocampus and amygdala on native sub-mm resolution MP2RAGE 7T MRI. Our findings suggest deep learning techniques can advance development of morphometric analysis techniques for high field strength, high spatial resolution brain MRI.

INTRODUCTION/BACKGROUND:Body lateropulsion (BLP) is seen in neurological lesions involving the pathways responsible for body position and verticality. We report a case of isolated body lateropulsion (iBLP) as the presentation of lateral medullary infarction and conducted a systematic literature review. METHODS:MEDLINE and EMBASE databases were searched up to December 3, 2020. INCLUSION CRITERIA/METHODS:age ≥ 18, presence of BLP, confirmed stroke on imaging. EXCLUSION CRITERIA/METHODS:age < 18, qualitative reviews, studies with inadequate patient data. Statistical analysis was performed using IBM® SPSS® Statistics 20. RESULTS:A 64-year-old man presented with acute-onset iBLP. Brain MRI demonstrated acute infarction in the right caudolateral medulla. His symptoms progressed with ipsilateral Horner syndrome over the next 24 hours and contralateral hemisensory loss 10 days later. Repeat MRI showed an increase in infarct size. BLP resolved partially at discharge. Systematic review: 418 abstracts were screened; 59 studies were selected reporting 103 patients. Thirty-three patients had iBLP (32%). BLP was ipsilateral to stroke in 70 (68%) and contralateral in 32 (32%). The most common stroke locations were medulla (n = 63, 59%), pons (n = 16, 15%), and cerebellum (n = 16, 15%). Four strokes were cortical, 3 frontal and 1 temporoparietal (3%). The most common etiology was large-artery atherosclerosis (LAA) in 20 patients (32%), followed by small-vessel occlusion in 12 (19%). Seventeen (27%) had large-vessel occlusion (LVO), 12 involving the vertebral artery. Sixty (98%) had some degree of resolution of BLP; complete in 41 (70%). Median time-to-resolution was 14 days (IQR 10-21). There was no relationship between time-to-resolution and age, sex, side of BLP or side of stroke. CONCLUSION/CONCLUSIONS:BLP was commonly seen with medullary infarction and was the isolated finding in one-third. LAA and LVO were the most common etiologies. Recovery of BLP was early and complete in most cases.

Peripheral neuropathy is one of the most prevalent neurologic conditions encountered by neurologists and nonneurologists. Geriatricians and primary care physicians often face the task of screening patients for early neuropathy when they have underlying conditions such as diabetes mellitus and evaluating patients who report new symptoms that suggest neuropathy. An understanding about different forms of neuropathies based on anatomic pattern and type of nerve fiber involvement and ability to perform basic neurologic examination reliably can help determine how to pursue further investigations and identify those patients who are likely to benefit from early specialist referral.

BACKGROUND AND PURPOSE/OBJECTIVE:Perfusion imaging can risk stratify patients with symptomatic intracranial stenosis. We aim to determine the association between perfusion delay and length of hospital stay (LOS) in symptomatic middle cerebral artery (MCA) stenosis patients. METHODS:This is a retrospective study of consecutive patients admitted to a comprehensive stroke center over 5 years with ischemic stroke or transient ischemic attack (TIA) within 7 days of symptom onset due to MCA stenosis (50-99%) and underwent perfusion imaging. Patients were divided into three groups: mismatch volume ≥ 15 cc based on T max > 6 second delay, T max 4-6 second delay, and <4 second delay. The outcome was LOS, both as a continuous variable and categorical (≥7 days [prolonged LOS] vs. <7 days). We used adjusted regression analyses to determine the association between perfusion categories and LOS. RESULTS:One hundred and seventy eight of 194 patients met the inclusion criteria. After adjusting for age and NIHSS, T max >6 second mismatch was associated with prolonged LOS (OR 2.94 95% CI 1.06-8.18; P = .039), but T max 4-6 second was not (OR 1.45 95% CI .46-4.58, P = .528). We found similar associations when LOS was a continuous variable for T max > 6 second (β coefficient = 2.01, 95% CI .05-3.97, P = .044) and T max 4-6 second (β coefficient = 1.24, 95% CI -.85 to 3.34, P = .244). CONCLUSION/CONCLUSIONS:In patients with symptomatic MCA stenosis, T max > 6 second perfusion delay is associated with prolonged LOS. Prospective studies are needed to validate our findings.