[Impact of COVID-19 lockdown on patients with idiopathic intracranial hypertension in Spain]. / Impacto del confinamiento por COVID-19 en pacientes con hipertensión intracraneal idiopática en España.

INTRODUCTION: The nationwide lockdown implemented in Spain in March 2020 in response to the 2019 coronavirus disease pandemic (COVID-19) could have had an effect on the clinical situation, disease management and access to care in patients with idiopathic intracranial hypertension. PATIENTS AND METHODS: A cross-sectional observational study was conducted by means of an online survey. The frequency and impact of headache, visual symptoms, dizziness, cognitive symptoms, diplopia, anxiety and depression on patients' quality of life were recorded. Disease treatment and delays experienced in accessing care were recorded. Participants were grouped according to the time elapsed since diagnosis. RESULTS: A total of 112 patients participated in the study (103 women). The average time since disease onset was 6.25 years. Headache, anxiety and depression were responsible for considerable impact in the period prior to lockdown. The impact of headache was not aggravated during lockdown, but anxiety and depression did become significantly worse. Recently diagnosed participants reported higher rates of anxiety, depression, dizziness and diplopia; chronically diagnosed participants reported a higher frequency of cognitive symptoms. CONCLUSIONS: The clinical situation of the participants deteriorated during lockdown, although the differences were smaller than previously thought. This was probably because the baseline situation was more severe than expected. Further studies are needed to clarify the medium and long-term impact of the COVID-19 pandemic on patients with idiopathic intracranial hypertension.

TITLE: Impacto del confinamiento por COVID-19 en pacientes con hipertensión intracraneal idiopática en España.Introducción. El confinamiento nacional instaurado en España en marzo de 2020 como respuesta a la pandemia por la enfermedad por coronavirus 2019 (COVID-19) pudo tener un efecto en la situación clínica, el manejo de la enfermedad y el acceso a la atención médica en pacientes con hipertensión intracraneal idiopática. Pacientes y métodos. Se realizó un estudio observacional transversal por medio de una encuesta en línea. Se registraron la frecuencia y el impacto en la calidad de vida de la cefalea, los síntomas visuales, el mareo, los síntomas cognitivos, la diplopía, la ansiedad y la depresión. Se registró el tratamiento de la enfermedad y los retrasos experimentados en el acceso a la atención médica. Se agrupó a los participantes según el tiempo de evolución desde el diagnóstico. Resultados. Participaron 112 pacientes (103 mujeres). El tiempo medio de evolución de la enfermedad fue 6,25 años. La cefalea, la ansiedad y la depresión fueron responsables de un impacto considerable en el período previo al confinamiento. El impacto de la cefalea no empeoró durante el confinamiento, pero la ansiedad y la depresión empeoraron significativamente. Los participantes diagnosticados recientemente comunicaron mayores tasas de ansiedad, depresión, mareo y diplopía; los de evolución crónica, mayor frecuencia de síntomas cognitivos. Conclusiones. La situación clínica de los participantes se deterioró durante el confinamiento, aunque las diferencias fueron menores de lo que se pensaba. Esto se debió, probablemente, a que la situación basal era más grave de lo esperado. Son necesarios más estudios para aclarar el impacto a medio y largo plazo de la pandemia por COVID-19 en pacientes con hipertensión intracraneal idiopática.

Interactive Web-Based Lung Cell Atlases Lower Barriers to Transcriptomic Data Sharing, Mining and Dissemination

Rationale: Recent advancements in sequencing technologies have led to a substantial increase in the scale and resolution of transcriptomic data. Despite this progress, accessibility to this data, particularly among those who are coming from non-computational backgrounds is limited. To facilitate improved access and exploration of our single-cell RNA sequencing data, we generated several data sharing, mining and dissemination portals to accompany our idiopathic pulmonary fibrosis (IPF), chronic obstructive pulmonary disease (COPD), and lung endothelial cells (Lung EC) cell atlases. Descriptions and links of each website can be found here: https://medicine.yale.edu/lab/kaminski/research/atlas/. Methods: Each interactive data mining website is coded in the R language using the Shiny package and is hosted by Shinyapps.io. Percell expression data for each website is stored on a MySQL database hosted by Amazon Web Services (AWS). Time-associated website engagement statistics and gene query information is collected for each website using a combination of Google Analytics and a gene search table stored on our MySQL database. User exploration of available data is facilitated through several easy-touse visualization tools available on each website. Results: Website usage statistics since the publication of each website shows that 9,772 unique users from 56 countries and five continents have accessed at least one of the three websites. At the time of writing, 300,748 total queries have been made for 15,627 unique genes across the websites. The top five searched genes for the IPF Cell Atlas are CD14, ACE2, ACTA2, IL11 and MUC5B while for the COPD Cell Atlas they are FAM13A, MIRLET7BHG, HHIP, ISM1 and DDT. Finally, the top searched genes for the Lung Endothelial Cell Atlas are BMPR2, PECAM1, EDNRB, APLNR and PROX1. Of note, interaction with the IPF Cell Atlas increased dramatically at the start of the COVID-19 pandemic, with queries for the ACE2 gene, the putative binding receptor for the SARS-CoV-2 virus, increasing substantially at the pandemic's onset in the United States. Conclusions: Usage statistics, gene query information and feedback from users, both within academia and industry, have shown broad engagement with our websites by individuals across computational and non-computational backgrounds. We envision widespread adoption of web-based portals similar to ours will facilitate novel discoveries within these complex datasets and new scientific collaborations.