Neurological complications of COVID-19 in hospitalized patients: The registry of a neurology department in the first wave of the pandemic.

OBJECTIVE: To describe the spectrum of neurological complications observed in a hospital-based cohort of COVID-19 patients who required a neurological assessment. METHODS: We conducted an observational, monocentric, prospective study of patients with a COVID-19 diagnosis hospitalized during the 3-month period of the first wave of the COVID-19 pandemic in a tertiary hospital in Madrid (Spain). We describe the neurological diagnoses that arose after the onset of COVID-19 symptoms. These diagnoses could be divided into different groups. RESULTS: Only 71 (2.6%) of 2750 hospitalized patients suffered at least one neurological complication (77 different neurological diagnoses in total) during the timeframe of the study. The most common diagnoses were neuromuscular disorders (33.7%), cerebrovascular diseases (CVDs) (27.3%), acute encephalopathy (19.4%), seizures (7.8%), and miscellanea (11.6%) comprising hiccups, myoclonic tremor, Horner syndrome and transverse myelitis. CVDs and encephalopathy were common in the early phase of the COVID-19 pandemic compared to neuromuscular disorders, which usually appeared later on (p = 0.005). Cerebrospinal fluid severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) polymerase chain reaction was negative in 15/15 samples. The mortality was higher in the CVD group (38.1% vs. 8.9%; p = 0.05). CONCLUSIONS: The prevalence of neurological complications is low in patients hospitalized for COVID-19. Different mechanisms appear to be involved in these complications, and there was no evidence of direct invasion of the nervous system in our cohort. Some of the neurological complications can be classified into early and late neurological complications of COVID-19, as they occurred at different times following the onset of COVID-19 symptoms.

Ultrasonographic and hemodynamic characteristics of patients with symptomatic carotid near-occlusion: results from a multicenter registry study.

PURPOSE: The ultrasonographic and hemodynamic features of patients with carotid near-occlusion (CNO) are still not well known. Our aim was to describe the ultrasonographic and hemodynamic characteristics of a cohort of patients with CNO. METHODS: A prospective, observational, nationwide, and multicenter study was conducted from January/2010 to May/2016. Patients with digital subtraction angiography (DSA)-confirmed CNO were included. We collected information on clinical and demographic characteristics, carotid and transcranial ultrasonography and DSA findings, presence of full-collapse, collateral circulation, and cerebrovascular reactivity (CVR). RESULTS: One hundred thirty-five patients were analyzed. Ultrasonographic and DSA diagnosis of CNO were concordant in only 44%. This disagreement was related to the presence/absence of full-collapse: 45% of patients with CNO with full-collapse were classified as a complete carotid occlusion, and 40% with a CNO without full-collapse were interpreted as severe stenosis (p < 0.001). Mean velocities (mV) and pulsatility indexes (PIs) were significantly lower in the ipsilateral middle cerebral artery compared with the contralateral (43 cm/s vs 58 cm/s, p < 0.001; 0.80 vs 1.00, p < 0.001). Collateral circulation was identified in 92% of patients, with the anterior communicating artery (73%) being the most frequent. CVR was decreased or exhausted in 66% of cases and was more frequent in patients with a poor or absent collateral network compared with patients with ≥ 2 collateral arteries (82% vs 56%, p = 0.051). CONCLUSION: The accuracy of carotid ultrasonography in the diagnosis of CNO seems to be limited, with significant discrepancies with DSA. Decreased ipsilateral mV, PI, and CVR suggest a hemodynamic compromise in patients with CNO.

Plasma exchange in acute attacks of demyelinating diseases of the central nervous system: clinical outcomes and predictors of response.

BACKGROUND: Plasma exchange (PLEX) is a therapeutic option in the treatment of acute attacks of Demyelinating Diseases of the Central Nervous System (DDCNS). Factors related with PLEX response are not well established. METHODS: Descriptive and retrospective study. We included patients treated with PLEX for acute attacks of DDCNS between 2008 and 2017. We recorded demographics, clinical and treatment-related data, and Expanded Disability Status Scale (EDSS) score at admission, at discharge, and at 6 months. RESULTS: We included 64 patients. Forty-eight (75%) were female with a mean age of 48.28 ± 11.5 years. Half of our patients were diagnosed with multiple sclerosis. Clinical improvement was achieved in 51.6% at discharge and 62.5% at 6 months. The logistic regression model showed that EDSS score > 3 at admission (p = 0.04) and early clinical improvement with PLEX (p = 0.00) were predictors of good response to PLEX at discharge and at 6 months, respectively. No serious adverse effects were identified. CONCLUSIONS: PLEX is a safe and effective treatment for acute attacks of DDCNS. EDSS score at admission and early clinical improvement with PLEX were factors associated with good response to PLEX.

Deterioro Cognitivo en pacientes diabéticos entre 55 a 65 años de edad. Reporte final de estudio observacional, transversal en la ciudad de Guayaquil / Cognitive impairment in diabetic patients between 55 and 65 years old. Final report of a cross-sectional, observational study in Guayaquil city

RESUMEN Introducción: La Diabetes Mellitus es la enfermedad metabólica más frecuente. Su efecto deletéreo sobre la cognición es poco reconocido. La demencia es la enfermedad neurodegenerativa más común y la población diabética está en mayor riesgo de desarrollarla a futuro. Objetivo: Comparar la función cognitiva de los individuos diabéticos de mediana edad, con un grupo control no diabético, y así determinar población en riesgo de desarrollar deterioro cognitivo. Metodología: Se realizó un estudio observacional, poblacional, de corte transversal en Guayaquil. Se han estudiado 309 individuos -142 diabéticos y 167 no diabéticos- entre 55 y 65 años de edad a quienes se les practicaron pruebas neuropsicológicas para determinar su funcionamiento cognitivo en atención, velocidad de procesamiento, memoria y función ejecutiva. Resultados: Las comparaciones entre ambos grupos demostraron diferencias significativas en cuanto a hipertensión arterial sistólica (p< .001), hiperlipidemia (p< .001) e índice de riesgo cardiovascular (p< .001). El rendimiento cognitivo fue menor en los pacientes diabéticos luego de considerar la diferencia en años de escolaridad (pruebas de memoria con valores p entre .000 y .002; pruebas de atención con valores p entre .000 y .019; función ejecutiva con valores p entre .000 y .001). No hubo correlación significativa entre los años de evolución de la enfermedad y deterioro cognitivo (memoria -.055; atención -.040; función ejecutiva .0169). La relación entre los niveles de hemoglobina glicosilada y deterioro cognitivo sí fueron significativos para todas las funciones cognitivas evaluadas (memoria -.219; atención -.186; función ejecutiva -.269). Conclusión: La población diabética de mediana edad tiene un rendimiento cognitivo inferior a la no diabética. La identificación temprana de población en riesgo de desarrollar demencia en la adultez mayor permitirá diseñar estrategias de intervención que permitan retardar la aparición clínica de la demencia en individuos vulnerables.

ABSTRACT Introduction: Diabetes mellitus is a frequent and systemic illness. Deleterious effects on cognition are one of its lesser known consequences. Diabetic individuals are at an increased risk for development of dementia in the future. Objective: To compare cognitive function in middle aged diabetic population with non-diabetic control group, in order to determine high risk population for developing cognitive decline or dementia in the future. Methodology: This is a cross-sectional, observational study conducted in Guayaquil. We studied 309 individuals between the ages of 55 and 65 years, of which 142 were diabetics and 167 were non-diabetic controls. A neuropsychological evaluation was performed to assess memory, attention, executive functioning and processing speed. Results: Group comparisons revealed significant differences between diabetics and non-diabetics in systolic blood pressure (p<.001), hyperlipidemia (p<.001) and cardiovascular risk (p < .001). Cognitive performance, after considering differences in scholarship, was lower in diabetic people (memory p values between .000 and .002; attention p values between .000 and .019; executive function p values between .000 and .001). Correlation between years of disease and cognitive decline was not significant (memory -.055; attention -.040; executive function .0169). Correlation between glycated hemoglobin and cognitive performance was significant for all evaluated functions (memory -.219; attention -.186; executive function -.269). Conclusion: Middle aged diabetic population has lower cognitive performance compared with non diabetics. The identification of individuals at risk for cognitive decline will contribute to the development and implementation of intervention strategies that will allow the slowing of cognitive decline in vulnerable individuals.

Diabetes Is Associated with Cognitive Decline in Middle-Aged Patients.

BACKGROUND: Diabetes is a major contributor to dementia in the elderly. Identifying mild cognitive decline in younger individuals with diabetes could aid in preventing the progression of the disease. The aim of our study is to compare whether patients with diabetes experience greater cognitive decline than those without diabetes. METHODS: We conducted a cross-sectional study using population-based recruitment to identify a cohort of individuals with diabetes and corresponding control group without diabetes of 55-65 years of age. We defined diabetes according to the American Diabetes Association and conducted a battery of standardized neuropsychological tests consisting of nine verbal and nonverbal tasks assessing three cognitive domains. We defined cognitive decline as an abnormal test in one or more of the domains. We used hierarchical regression to predict abnormal cognitive function by diabetes status, adjusting for gender, education, hypertension, and depression. RESULTS: We included 142 patients with diabetes and 167 control group patients. Those with diabetes had a mean age of 59 ± 4 years, 54% were women, the mean education level was 11 ± 4.5 years of schooling, and their hemoglobin A1c was 8.6 ± 2.5. They had an overall lower mean of all five executive function measures, all seven attention measures, and all five memory measures (P < 0.05). In multivariate analyses, all executive function beta coefficients for diabetes were significant, whereas attention had four out of seven and memory had four out of five. CONCLUSIONS: Diabetes is associated with cognitive decline in younger patients with diabetes. Preventive strategies should be developed for the prevention of dementia in younger populations.