Reversible Cerebral Vasoconstriction Syndrome in Patients with Coronavirus Disease: A Multicenter Case Series.

BACKGROUND AND OBJECTIVES: RCVS (Reversible Cerebral Vasoconstrictive Syndrome) is a condition associated with vasoactive agents that alter endothelial function. There is growing evidence that endothelial inflammation contributes to cerebrovascular disease in patients with coronavirus disease 2019 (COVID-19). In our study, we describe the clinical features, risk factors, and outcomes of RCVS in a multicenter case series of patients with COVID-19. MATERIALS AND METHODS: Multicenter retrospective case series. We collected clinical characteristics, imaging, and outcomes of patients with RCVS and COVID-19 identified at each participating site. RESULTS: Ten patients were identified, 7 women, ages 21 - 62 years. Risk factors included use of vasoconstrictive agents in 7 and history of migraine in 2. Presenting symptoms included thunderclap headache in 5 patients with recurrent headaches in 4. Eight were hypertensive on arrival to the hospital. Symptoms of COVID-19 included fever in 2, respiratory symptoms in 8, and gastrointestinal symptoms in 1. One patient did not have systemic COVID-19 symptoms. MRI showed subarachnoid hemorrhage in 3 cases, intraparenchymal hemorrhage in 2, acute ischemic stroke in 4, FLAIR hyperintensities in 2, and no abnormalities in 1 case. Neurovascular imaging showed focal segment irregularity and narrowing concerning for vasospasm of the left MCA in 4 cases and diffuse, multifocal narrowing of the intracranial vasculature in 6 cases. Outcomes varied, with 2 deaths, 2 remaining in the ICU, and 6 surviving to discharge with modified Rankin scale (mRS) scores of 0 (n=3), 2 (n=2), and 3 (n=1). CONCLUSIONS: Our series suggests that patients with COVID-19 may be at risk for RCVS, particularly in the setting of additional risk factors such as exposure to vasoactive agents. There was variability in the symptoms and severity of COVID-19, clinical characteristics, abnormalities on imaging, and mRS scores. However, a larger study is needed to validate a causal relationship between RCVS and COVID-19.

The Impact of Meeting Patients with Neurological Disorders on Medical Student Empathy.

PURPOSE: Empathy tends to decline during medical education, typically beginning in the third year of medical school and often continuing throughout residency and the physician's medical career. The purpose of this study was to determine if first year medical student empathy is affected by small group interactions with patients with neurological disorders, and to investigate if changes in empathy persisted over time. MATERIALS AND METHODS: Eighty first year medical students participating in a Neuroscience Module interacted with a variety of neurological patients in a small group informational session. Prior to the experience, participants completed the Jefferson Scale of Physician Empathy-Student (JSPE-S) version. After the experience, students completed a post-test JSPE-S questionnaire, and a final post-post-test JSPE-S questionnaire was completed 5 weeks later. Empathy scores were compared with a repeated measures MANOVA. The relationship between gender and empathy, and the effect of the age of the neurological patients on empathy scores were also examined. RESULTS: Empathy scores for seventy-one students who completed the JSPE-S questionnaires were analyzed. Students had significantly higher empathy immediately after the patient interaction experience, and the change in empathy was sustained over the course of 5 weeks (p = 0.015). The age of the neurological patients had a significant effect on empathy scores. There was no significant difference between empathy scores and gender. CONCLUSIONS: This study supports the incorporation of a group patient interaction experience into the medical school curriculum as an inexpensive and practical method of enhancing medical student empathy in a non-clinical setting.

Mechanisms of arm paresis in middle cerebral artery distribution stroke: pilot study.

The development of effective neurobiological adjuvants to rehabilitation of paresis caused by stroke will depend on understanding mechanisms of paresis. Our objective was to determine the extent to which upper-limb (UL) paresis after nonlacunar ischemic middle cerebral artery (MCA) distribution stroke is caused by infarction of posterior periventricular white matter (PVWM), where corticospinal fibers serving movement descend, and caused by infarction of the arm-hand region of precentral gyrus (ahPCG). We conducted a blinded, retrospective analysis of computed tomography and magnetic resonance imaging from a convenience sample of 64 prospectively evaluated subjects with UL paresis resulting from MCA distribution stroke. Of the subjects, 96.5% had PVWM involvement while 53% had minimal or no ahPCG involvement. Even in subjects with no UL function, 56% had very minimal infarction (<25%) of the ahPCG. Degree of paresis was statistically associated with presence or absence of detectable posterior PVWM damage but not with extent of ahPCG involvement. These preliminary findings suggest that posterior PVWM involvement may be a major, if not the principal, determinant of paresis in all hemispheric ischemic strokes and motivate further prospective studies of this problem.

Synthesis, antibacterial evaluation and QSAR studies of 7-[4-(5-aryl-1,3,4-oxadiazole-2-yl)piperazinyl] quinolone derivatives.

A series of 7-[4-(5-aryl-1,3,4-oxadiazole-2-yl)piperazinyl] quinolones (I-XXI) were synthesized using an appropriate synthetic route and characterized by elemental and spectral analysis. The antibacterial activities of all the synthesized compounds were evaluated against identifiable bacterial strains. Compounds III, IV, VII, VIII, IX, X, XI, XV, &XVIII showed better activity than parent compound against all the selected strains. QSAR study on the synthesized molecules tested for their antibacterial activity was performed using multiple linear regression method. Generated models revealed a decrease in HOMO energy as favorable descriptor for determining and predicting the antibacterial activity of the synthesized compounds. Further, the developed models were cross validated using LOO method for their predictive nature.