The impact of a two-year long COVID-19 public health restriction program on mechanical thrombectomy outcomes in a stroke network.

OBJECTIVE: The purpose of this study was to evaluate the impact of COVID-19 pandemic public health restrictions on our drip and ship mechanical thrombectomy program in Santiago Chile. MATERIALS AND METHODS: This was a retrospective analysis of a prospectively collected database comparing two cohorts, one during a two-year period before COVID-19 and the second during the two years of the pandemic at our metropolitan stroke program. RESULTS: A total of 100 patients were included in the pre COVID-19 cohort (cohort 1) and 121 in the COVID-19 cohort (cohort 2). There was a significant difference between cohorts, with older patients, different occlusion sites and higher door to arterial puncture time during the COVID-19 period. A non-significant trend for worse 90-day outcomes and higher mortality was present in cohort 2. There were no statistical differences in safety treatment parameters. CONCLUSIONS: COVID-19 pandemic has had a measurable impact on our mechanical thrombectomy program. Results showed similarities to other reported Latin American series, where less robust health systems could adapt less efficiently compared to developed countries. After two years of public health restrictions, there were changes in the treatment population characteristics, delay in some internal management metrics and a non-significant trend to worse 90-day outcomes and higher mortality.

miR-146a, miR-221, and miR-155 are Involved in Inflammatory Immune Response in Severe COVID-19 Patients.

COVID-19 infection triggered a global public health crisis during the 2020-2022 period, and it is still evolving. This highly transmissible respiratory disease can cause mild symptoms up to severe pneumonia with potentially fatal respiratory failure. In this cross-sectional study, 41 PCR-positive patients for SARS-CoV-2 and 42 healthy controls were recruited during the first wave of the pandemic in Mexico. The plasmatic expression of five circulating miRNAs involved in inflammatory and pathological host immune responses was assessed using RT-qPCR (Reverse Transcription quantitative Polymerase Chain Reaction). Compared with controls, a significant upregulation of miR-146a, miR-155, and miR-221 was observed; miR-146a had a positive correlation with absolute neutrophil count and levels of brain natriuretic propeptide (proBNP), and miR-221 had a positive correlation with ferritin and a negative correlation with total cholesterol. We found here that CDKN1B gen is a shared target of miR-146a, miR-221-3p, and miR-155-5p, paving the way for therapeutic interventions in severe COVID-19 patients. The ROC curve built with adjusted variables (miR-146a, miR-221-3p, miR-155-5p, age, and male sex) to differentiate individuals with severe COVID-19 showed an AUC of 0.95. The dysregulation of circulating miRNAs provides new insights into the underlying immunological mechanisms, and their possible use as biomarkers to discriminate against patients with severe COVID-19. Functional analysis showed that most enriched pathways were significantly associated with processes related to cell proliferation and immune responses (innate and adaptive). Twelve of the predicted gene targets have been validated in plasma/serum, reflecting their potential use as predictive prognosis biomarkers.

Multimorbidity Patterns and Their Association with Social Determinants, Mental and Physical Health during the COVID-19 Pandemic.

BACKGROUND: The challenge posed by multimorbidity makes it necessary to look at new forms of prevention, a fact that has become heightened in the context of the pandemic. We designed a questionnaire to detect multimorbidity patterns in people over 50 and to associate these patterns with mental and physical health, COVID-19, and possible social inequalities. METHODS: This was an observational study conducted through a telephone interview. The sample size was 1592 individuals with multimorbidity. We use Latent Class Analysis to detect patterns and SF-12 scale to measure mental and physical quality-of-life health. We introduced the two dimensions of health and other social determinants in a multinomial regression model. RESULTS: We obtained a model with five patterns (entropy = 0.727): 'Relative Healthy', 'Cardiometabolic', 'Musculoskeletal', 'Musculoskeletal and Mental', and 'Complex Multimorbidity'. We found some differences in mental and physical health among patterns and COVID-19 diagnoses, and some social determinants were significant in the multinomial regression. CONCLUSIONS: We identified that prevention requires the location of certain inequalities associated with the multimorbidity patterns and how physical and mental health have been affected not only by the patterns but also by COVID-19. These findings may be critical in future interventions by health services and governments.

Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis Conocimiento sobre la COVID-19 y medidas de prevención entre trabajadores universitarios. Identificación de subgrupos mediante análisis de conglomerados

Introduction: The knowledge of COVID-19 and the recommended preventive measures for controlling the disease have been widely studied in the general population, but little is known about whether the University workers as educators and transmitters of knowledge have appropriate knowledge and take preventive measures for COVID-19. This study aims to analyze the knowledge of COVID-19 and the recommended preventive measures in university workers, to identify groups according to the preventive practices they adopt, and to analyze the factors associated with these practices. Material and methods: A cross-sectional study was conducted on 677 university workers in the University of Cádiz, Spain. A questionnaire with sociodemographic variables, housing, health conditions, knowledge of COVID-19 and preventive measures were administered. The information was collected between 8th and 22nd April, 2020. A cluster analysis was performed to identify subgroups depending on the preventive measures. Associated factors were tested with binary logistic regression. Results: Two groups were identified. Group 1 included 513 subjects who took preventive measures most frequently (means 2.59-4.83). Group 2 included 164 subjects who took preventive measures less frequently (means 1.59-4.22). Men (OR = 1.39), the Teaching and research personnel (OR = 1.49) and individuals with a chronic illness (OR = 1.60) were more likely to belong to the group 2. Those with more knowledge about isolation prevention (OR = 0.167) and early treatment (OR = 0.665) were more likely to belong to group 1. Conclusion: In order to reduce the transmission of the disease, it is necessary to promote the knowledge and use of preventive measures among the group of individuals identified as less engaged in preventive measures.

Knowledge of COVID-19 and prevention measures among university workers. Identification of subgroups through cluster analysis

Introduction: The knowledge of COVID-19 and the recommended preventive measures for controlling the disease have been widely studied in the general population, but little is known about whether the University workers as educators and transmitters of knowledge have appropriate knowledge and take preventive measures for COVID-19. This study aims to analyze the knowledge of COVID-19 and the recommended preventive measures in university workers, to identify groups according to the preventive practices they adopt, and to analyze the factors associated with these practices. Material and methods: A cross-sectional study was conducted on 677 university workers in the University of Cádiz, Spain. A questionnaire with sociodemographic variables, housing, health conditions, knowledge of COVID-19 and preventive measures were administered. The information was collected between 8th and 22nd April, 2020. A cluster analysis was performed to identify subgroups depending on the preventive measures. Associated factors were tested with binary logistic regression. Results: Two groups were identified. Group 1 included 513 subjects who took preventive measures most frequently (means 2.59-4.83). Group 2 included 164 subjects who took preventive measures less frequently (means 1.59-4.22). Men (OR=1.39), the Teaching and research personnel (OR=1.49) and individuals with a chronic illness (OR=1.60) were more likely to belong to the group 2. Those with more knowledge about isolation prevention (OR=0.167) and early treatment (OR=0.665) were more likely to belong to group 1. Conclusion: In order to reduce the transmission of the disease, it is necessary to promote the knowledge and use of preventive measures among the group of individuals identified as less engaged in preventive measures. Resumen Introducción: El COVID-19 y las medidas preventivas recomendadas para su control han sido ampliamente estudiados en la población en general. Sin embargo, poco se sabe sobre si los trabajadores universitarios como educadores y transmisores de conocimiento tienen los conocimientos adecuados y toman las medidas preventivas adecuadas. Este estudio tiene como objetivo analizar el conocimiento sobre el COVID-19 y las medidas preventivas recomendadas en trabajadores universitarios, así como, identificar grupos según las prácticas preventivas que adopten y analizar los factores asociados a estas prácticas. Material y métodos: Se realizó un estudio transversal en 677 trabajadores universitarios de la Universidad de Cádiz, España. Se administró un cuestionario (del 8 al 22 de abril) que recogía variables sociodemográficas, sobre su vivienda, condiciones de salud, conocimiento del COVID-19 y medidas preventivas. Se realizó un análisis de conglomerados para identificar subgrupos en función de las medidas preventivas. Los factores asociados se probaron con regresión logística binaria. Resultados: Se identificaron dos grupos. El grupo 1 incluyó a 513 sujetos que tomaban medidas preventivas con mayor frecuencia (medias 2,59-4,83). El grupo 2 incluyó a 164 sujetos que tomaron medidas preventivas con menor frecuencia (medias 1,59-4,22). Los hombres (OR=1,39), el Personal Docente e Investigador (OR=1,49) y las personas con alguna enfermedad crónica (OR=1,60) tenían mayor probabilidad de pertenecer al grupo 2. Los que tenían más conocimientos sobre prevención del aislamiento (OR=0,167) y el tratamiento temprano (OR=0,665) tenían más probabilidades de pertenecer al grupo 1. Conclusión: Para reducir la transmisión de la enfermedad es necesario promover el conocimiento y uso de medidas preventivas entre el grupo de individuos identificados como menos comprometidos con las medidas preventivas.