Antiviral action of different molecules obtained from invertebrates against coronavirus (preprint)

The few availability of antivirals for new strains of highly pathogenic viruses has become a serious public health problem that leads to the death of thousands of people annually. For this reason, the search for new products against these agents has become an urgent need. Many studies have been carried out with this aim. Among the multiple sources of research for new antibiotics and antivirals, bioprospecting for molecules obtained from invertebrates, or their products, has become an increasingly frequent option. Arthropods appeared on the planet around 350 million years ago and have been one of the beings with the greatest adaptability and resistance. Invertebrates have been found in all known ecosystems. Their survival for so long, in such different environments, is an indication that they have a very efficient protection system against environmental infections, despite not having a developed immune system like mammals. Historically, products obtained mainly from bees, such as honey and propolis, have been shown to be of great pharmacologica l importance, being used as antimicrobials, anti-inflammatory, antitumor, healing and several other functions. However, these molecules have also been obtained from other invertebra tes, such as caterpillars and spiders. Previous studies by our group have demonstrated an intense antiviral and antimicrobial activity of these materials. In this study, we identified, isolated and characterized compounds with potent antiviral effect against avian Coronavirus in propolis from Scaptotrigona aff postica, hemolymph of Lonomia obliqua and from mygalin, an acylpolyamine, isolated from hemocytes of spider Acanthoscurria gomesiana. The antiviral assay was carried out by reducing infectious foci in cultures of infected cells and treated with these differents substances obtained from invertebrates. Propolis and crude hemolymph reduced avian coronavirus by an average of 256 x when used at a concentration of 5% v/v and an average reduction of 8x when 160{micro}M of Mygalin was used. Propolis purified and sinthetic hemolymph reduced the virus titer by an average 64 fold. The virus reduction with synthetic mygalin, at a concentration of 26 uM, was average of 16 times. The antiviral responses of the 3 substances were dose dependent. By the other hand, the virus titer reduction was 2 times more intense when the substances were added 1 hour before cell infection with the virus. The chemical characterization of the elements present in the extracts was carried out by liquid chromatography.

Triple combination therapy with two antivirals and monoclonal antibodies for persistent or relapsed SARS-CoV-2 infection in immunocompromised patients.

INTRODUCTION: Severely immunocompromised patients are at risk for prolonged or relapsed COVID-19 leading to increased morbidity and mortality. We aimed to evaluate efficacy and safety of combination treatment in immunocompromised COVID-19 patients. METHODS: We included all immunocompromised patients with prolonged/relapsed COVID-19 treated with combination therapy with two antivirals (remdesivir plus nirmatrelvir/ritonavir, or molnupiravir in case of renal failure) plus, if available, anti-spike monoclonal antibodies (Mabs), between February and October 2022. The main outcomes were virological response at day 14 (negative SARS-CoV-2 swab) and virological and clinical response (alive, asymptomatic, with negative SARS-CoV-2 swab) at day 30 and the last follow-up. RESULTS: Overall, 22 patients (Omicron variant in 17/18) were included: 18 received full combination of two antivirals and Mabs and 4 received two antivirals only; in 20/22 (91%) two antivirals were nirmatrelvir/ritonavir plus remdesivir. Nineteen (86%) patients had hematological malignancy, 15 (68%) had received anti-CD20 therapy. All were symptomatic; 8 (36%) required oxygen. Four patients received second course of combination treatment. Response rate at day 14, 30 and last follow-up was, respectively, 75% (15/20 evaluable), 73% (16/22) and 82% (18/22). Day 14 and 30 response rates were significantly higher when combination therapy included Mabs. Higher number of vaccine doses was associated with better final outcome. Two patients (9%) developed severe side effects: bradycardia leading to remdesivir discontinuation and myocardial infarction. CONCLUSION: Combination therapy including two antivirals (mainly remdesivir and nirmatrelvir/ritonavir) and Mabs was associated with high rate of virological and clinical response in immunocompromised patients with prolonged/relapsed COVID-19.

Intermittent social isolation during adolescence increases ethanol preference in males and females and alters irritability-like behaviors and synaptic transmission in the CeA of adult males

Chronic stress during adolescence increases the susceptibility to many neuropsychiatric diseases in adulthood, including anxiety-like and alcohol drinking behaviors. Social isolation is a particularly profound stressor with increasing human relevance, especially during the COVID-19 pandemic, when millions of adolescents faced prolonged periods of isolation. However, preclinical rodent models of adolescent social stress have produced mixed results that are often sex, species and strain-dependent. Here we examined the effect of intermittent social isolation on alcohol intake and preference during adolescence (PND28-56) and its long-term effects and alcohol drinking on anxiety, irritability, and synaptic transmission in both male and female Wistar rats. To this goal, we developed and utilized a new model of social isolation and alcohol exposure whereby adolescent (PND28) male and female rats were intermittently socially isolated for 24h prior to 2-bottle choice (2BC) access to ethanol (20% v/v, 2h/session, Tues/Thur/Sat) vs. water, for 4 weeks. Two weeks later (young adults), all rats were tested for anxiety in the novelty induced hypophagia test and irritability-like behavior in the bottle brush test, and a subset was used to record spontaneous inhibitory GABAergic postsynaptic currents (sIPSCs) in the central nucleus of the amygdala (CeA). Additionally, we studied genetically selected Marchigian Sardinian alcohol-preferring (msP) rats to compare the effects of social isolation in a rat strain of increased alcohol preference vulnerability and high sensitivity to anxiety. Social isolation increased alcohol preference in both male and female Wistars when compared to the group-housed controls, starting from week 1 and throughout adolescence. All msP rats displayed escalation of drinking during week 1 and 2 and the effect of the isolation was observed starting from week 3 in males only. No isolation effects were observed in female msPs throughout the 4 weeks. Social isolation and alcohol drinking during adolescence increased aggressive-like behavior in male adult Wistar rats, but not females, and did not alter anxiety measures. Baseline frequency of sIPSCs was decreased in socially isolated male Wistar and msP adult rats vs. group-housed, while rise times, amplitudes, and decay times remained unchanged, indicating reduced basal presynaptic GABA release in the CeA. Together, these findings suggest that an intermittent social isolation produces increased alcohol preference in Wistar rats of both sexes and in male msPs, as well as synaptic changes in the CeA.Copyright © 2023

Rapid culture-independent loop-mediated isothermal amplification detection of antimicrobial resistance markers from environmental water samples.

Environmental water is considered one of the main vehicles for the transmission of antimicrobial resistance (AMR), posing an increasing threat to humans and animals health. Continuous efforts are being made to eliminate AMR; however, the detection of AMR pathogens from water samples often requires at least one culture step, which is time-consuming and can limit sensitivity. In this study, we employed comparative genomics to identify the prevalence of AMR genes within among: Escherichia coli, Klebsiella, Salmonella enterica and Acinetobacter, using publicly available genomes. The mcr-1, blaKPC (KPC-1 to KPC-4 alleles), blaOXA-48, blaOXA-23 and blaVIM (VIM-1 and VIM-2 alleles) genes are of great medical and veterinary significance, thus were selected as targets for the development of isothermal loop-mediated amplification (LAMP) detection assays. We also developed a rapid and sensitive sample preparation method for an integrated culture-independent LAMP-based detection from water samples. The developed assays successfully detected the five AMR gene markers from pond water within 1 h and were 100% sensitive and specific with a detection limit of 0.0625 µg/mL and 10 cfu/mL for genomic DNA and spiked bacterial cells, respectively. The integrated detection can be easily implemented in resource-limited areas to enhance One Health AMR surveillances and improve diagnostics.

Mortality in a swiftly repurposed hospital in northeast Brazil during the first and second COVID-19 waves: A retrospective cohort study.

Background: The first months of the coronavirus disease 2019 (COVID-19) pandemic demanded rapid re-organization of available local resources. This study evaluated the performance of a private hospital in the Brazilian state of Ceará that was swiftly repurposed into a public tertiary COVID-19 centre during the first wave of the COVID-19 pandemic, and how it improved in the second wave. Methods: This retrospective cohort study included 2492 patients with COVID-19 at Hospital Estadual Leonardo da Vinci (HELV) during the first and second waves. Demographic, clinical and laboratory data were collected using a dedicated web platform (ResCOVID). A Poisson regression model was used to estimate factors associated with in-hospital mortality. Results: Differences in demographics and clinical features were found between the two waves. There was reduced in-hospital mortality during the second wave (36.2%) in comparison with the first wave (48.8%). Invasive mechanical ventilation showed the strongest association with increased risk of death in both waves {first wave: relative risk (RR) 4.28 [95% confidence interval (CI) 2.86-6.41], P<0.001; second wave: RR 12.94 (95% CI 3.4-49.12), P<0.001}. Conclusions: HELV was a pillar in the strategic public health plan to respond to COVID-19 in Ceará, helping to assist a group of moderate-to-severe cases and reduce the pressure on emergency and primary care facilities. Although mortality in intubated individuals remained high, there was an overall decrease in the in-hospital mortality rate in the second wave.

Mortality in a swiftly repurposed hospital in northeast Brazil during first and second COVID-19 waves: a retrospective cohort study

Background The first months of COVID-19 pandemic demanded rapid reorganization of available local resources. We evaluated the performance obtained by swiftly repurposing a private hospital in the Brazilian state of Ceará into a public tertiary COVID-19 center under the 1st wave and how it evolved to improved levels in the 2nd wave. Methods Retrospective cohort of 2492 COVID-19 patients at Hospital Estadual Leonardo da Vinci (HELV) during the 1st and 2nd waves. Demographic, clinical and laboratorial data were collected using a dedicated web platform (ResCOVID). A Poisson regression model was used to estimate factors associated with in-hospital mortality. Results We found differences in demographics and clinical features between the two waves. There was a reduced in-hospital mortality during the 2nd wave (36.2%) in comparison with the 1st wave (48.8%). Invasive mechanical ventilation showed the strongest association with increased risk of death in both waves (1st wave: RR 4.28 [2.86-6.41], p<0.001;2nd wave: RR 12.94 [3.4-49.12], p<0.001). Conclusions HELV was a pillar in the strategic public health plan to respond to COVID-19 in Ceará, helping to assist a group of moderate to severe patients and to decompress the demand from emergency and primary care. Although mortality in intubated individuals remained high, we found an overall decreased in-hospital mortality in the 2nd wave.

Sociodemographic and clinical factors associated with poor COVID-19 outcomes in patients with rheumatic diseases: data from the SAR-COVID Registry.

BACKGROUND/OBJECTIVE: This study aims to describe the course and to identify poor prognostic factors of SARS-CoV-2 infection in patients with rheumatic diseases. METHODS: Patients ≥ 18 years of age, with a rheumatic disease, who had confirmed SARS-CoV-2 infection were consecutively included by major rheumatology centers from Argentina, in the national, observational SAR-COVID registry between August 13, 2020 and July 31, 2021. Hospitalization, oxygen requirement, and death were considered poor COVID-19 outcomes. RESULTS: A total of 1915 patients were included. The most frequent rheumatic diseases were rheumatoid arthritis (42%) and systemic lupus erythematosus (16%). Comorbidities were reported in half of them (48%). Symptoms were reported by 95% of the patients, 28% were hospitalized, 8% were admitted to the intensive care unit (ICU), and 4% died due to COVID-19. During hospitalization, 9% required non-invasive mechanical ventilation (NIMV) or high flow oxygen devices and 17% invasive mechanical ventilation (IMV). In multivariate analysis models, using poor COVID-19 outcomes as dependent variables, older age, male gender, higher disease activity, treatment with glucocorticoids or rituximab, and the presence of at least one comorbidity and a greater number of them were associated with worse prognosis. In addition, patients with public health insurance and Mestizos were more likely to require hospitalization. CONCLUSIONS: In addition to the known poor prognostic factors, in this cohort of patients with rheumatic diseases, high disease activity, and treatment with glucocorticoids and rituximab were associated with worse COVID-19 outcomes. Furthermore, patients with public health insurance and Mestizos were 44% and 39% more likely to be hospitalized, respectively. STUDY REGISTRATION: This study has been registered in ClinicalTrials.gov under the number NCT04568421. Key Points • High disease activity, and treatment with glucocorticoids and rituximab were associated with poor COVID-19 outcome in patients with rheumatic diseases. • Some socioeconomic factors related to social inequality, including non-Caucasian ethnicity and public health insurance, were associated with hospitalization due to COVID-19.

Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients.

Since the molecular mechanisms determining COVID-19 severity are not yet well understood, there is a demand for biomarkers derived from comparative transcriptome analyses of mild and severe cases, combined with patients' clinico-demographic and laboratory data. Here the transcriptomic response of human leukocytes to SARS-CoV-2 infection was investigated by focusing on the differences between mild and severe cases and between age subgroups (younger and older adults). Three transcriptional modules correlated with these traits were functionally characterized, as well as 23 differentially expressed genes (DEGs) associated to disease severity. One module, correlated with severe cases and older patients, had an overrepresentation of genes involved in innate immune response and in neutrophil activation, whereas two other modules, correlated with disease severity and younger patients, harbored genes involved in the innate immune response to viral infections, and in the regulation of this response. This transcriptomic mechanism could be related to the better outcome observed in younger COVID-19 patients. The DEGs, all hyper-expressed in the group of severe cases, were mostly involved in neutrophil activation and in the p53 pathway, therefore related to inflammation and lymphopenia. These biomarkers may be useful for getting a better stratification of risk factors in COVID-19.

Is it really advantageous to operate proximal femoral fractures within 48 h from diagnosis? – A multicentric retrospective study exploiting COVID pandemic-related delays in time to surgery

Objectives: Hip fractures in the elderly are common injuries that need timely surgical management. Since the beginning of the pandemic, patients with a proximal femoral fracture (PFF) experienced a delay in time to surgery. The primary aim of this study was to evaluate a possible variation in mortality in patients with PFF when comparing COVID-19 negative versus positive. Methods: This is a multicentric and retrospective study including 3232 patients with PFF who underwent surgical management. The variables taken into account were age, gender, the time elapsed between arrival at the emergency room and intervention, pre-operative American Society of Anesthesiology score, pre-operative cardiovascular and respiratory disease, and 10-day/1-month/6-month mortality. For 2020, we had an additional column, “COVID-19 swab positivity.” Results: COVID-19 infection represents an independent mortality risk factor in patients with PFFs. Despite the delay in time-to-surgery occurring in 2020, no statistically significant variation in terms of mortality was detected. Within our sample, a statistically significant difference was not detected in terms of mortality at 6 months, in patients operated within and beyond 48 h, as well as no difference between those operated within or after 12/24/72 h. The mortality rate among subjects with PFF who tested positive for COVID-19 was statistically significantly higher than in patients with PFF who tested. COVID-19 positivity resulted in an independent factor for mortality after PFF. Conclusion: Despite the most recent literature recommending operating PFF patients as soon as possible, no significant difference in mortality was found among patients operated before or after 48 h from diagnosis. © 2022 Published by Scientific Scholar on behalf of Journal of Musculoskeletal Surgery and Research.

Human versus Artificial Intelligence-Based Echocardiographic Analysis as a Predictor of Outcomes: An Analysis from the World Alliance Societies of Echocardiography COVID Study.

BACKGROUND: Transthoracic echocardiography is the leading cardiac imaging modality for patients admitted with COVID-19, a condition of high short-term mortality. The aim of this study was to test the hypothesis that artificial intelligence (AI)-based analysis of echocardiographic images could predict mortality more accurately than conventional analysis by a human expert. METHODS: Patients admitted to 13 hospitals for acute COVID-19 who underwent transthoracic echocardiography were included. Left ventricular ejection fraction (LVEF) and left ventricular longitudinal strain (LVLS) were obtained manually by multiple expert readers and by automated AI software. The ability of the manual and AI analyses to predict all-cause mortality was compared. RESULTS: In total, 870 patients were enrolled. The mortality rate was 27.4% after a mean follow-up period of 230 ± 115 days. AI analysis had lower variability than manual analysis for both LVEF (P = .003) and LVLS (P = .005). AI-derived LVEF and LVLS were predictors of mortality in univariable and multivariable regression analysis (odds ratio, 0.974 [95% CI, 0.956-0.991; P = .003] for LVEF; odds ratio, 1.060 [95% CI, 1.019-1.105; P = .004] for LVLS), but LVEF and LVLS obtained by manual analysis were not. Direct comparison of the predictive value of AI versus manual measurements of LVEF and LVLS showed that AI was significantly better (P = .005 and P = .003, respectively). In addition, AI-derived LVEF and LVLS had more significant and stronger correlations to other objective biomarkers of acute disease than manual reads. CONCLUSIONS: AI-based analysis of LVEF and LVLS had similar feasibility as manual analysis, minimized variability, and consequently increased the statistical power to predict mortality. AI-based, but not manual, analyses were a significant predictor of in-hospital and follow-up mortality.

An Intelligent System for Patients' Well-Being: A Multi-Criteria Decision-Making Approach

The coronavirus pandemic has intensified the strain on medical care processes, especially waiting lists for patients under medical management. In Chile, the pandemic has caused an increase of 52,000 people waiting for care. For this reason, a high-complexity hospital (HCH) in Chile devised a decision support system (DSS) based on multi-criteria decision-making (MCDM), which combines management criteria, such as critical events, with clinical variables that allow prioritizing the population of chronic patients on the waiting list. The tool includes four methodological contributions: 1) pattern recognition through the analysis of anonymous patient data that allows critical patients to be characterized;2) a score of the critical events suffered by the patients;3) a score based on clinical criteria;and 3) a dynamic–hybrid methodology for patient selection that links critical events with clinical criteria and with the risk levels of patients on the waiting list. The methodology allowed to 1) characterize the most critical patients and triple the evaluation of medical records;2) save medical hours during the prioritization process;3) reduce the risk levels of patients on the waiting list;and 4) reduce the critical events in the first month of implementation, which could have been caused by the DSS and medical decision-making. This strategy was effective (even during a pandemic period).

Perception study of state support programs for companies, in Talca, Chile in times of Covid 19.

This work identifies the factors that influence the perception of company managers regarding the state support programs carried out in times of Covid19. A questionnaire was applied to a sample of company executives from the city of Talca, Chile. Descriptive, exploratory factor analysis and structural modeling ratified by the relevant goodness of fit indices were carried out. The results confirm the existence of three factors that affect the perception of managers that include 12 significant items. It is concluded that the investment factor acts as an independent dimension in the model, the classification factor of the companies acts as a mediator and finally the competitiveness factor turns out to be the dependent dimension of the model.

An Adapted Cognitive Behavioral Stress and Self-management Intervention for Sexual Minority Men Living With HIV and Cancer Using the SmartManage eHealth Platform: Protocol and Study Design.

BACKGROUND: Sexual minority men are disproportionately affected by HIV. Medical advances in HIV treatment have extended life expectancy, and as this group ages, medical and psychological challenges become more prominent. Older people with HIV experience a higher incidence of cancer and other comorbidities; these burdens along with sexual minority stress can strain coping resources and diminish health-related quality of life. Interventions such as cognitive behavioral stress and self-management (CBSM) can mitigate some of this burden; however, no manualized, eHealth-based interventions have focused on the unique needs of sexual minority men living with HIV and cancer. OBJECTIVE: This study aims to refine and finalize a web-based, CBSM-based intervention to meet the unique needs of this population, including sexual health, comanagement of 2 chronic conditions, and coping with sexual minority stress. METHODS: This mixed methods study used a previously completed qualitative phase (n=6) to inform the development of a web-based platform and intervention called SmartManage. The pilot phase study (n=50) involved randomization (1:1) into either 10 sessions of adapted CBSM or an attention control health promotion. Both conditions used the SmartManage platform, a web-based eHealth program designed to deliver CBSM and health promotion content and host live groups. Feasibility and acceptability (eg, rates of participant engagement and retention) were the primary outcomes. RESULTS: Participant-related activities are expected to be completed by November 2022, and results are expected to be submitted for publication by February 2023. CONCLUSIONS: We hypothesize that participants would find the intervention acceptable (compared with engagement and retention rates observed in similar CBSM studies). We also hypothesize that participants receiving the SmartManage intervention would have reduced symptom burden and improved health-related quality of life before and after treatment compared with those who do not. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37822.

Blood Leukocyte Transcriptional Modules and Differentially Expressed Genes Associated with Disease Severity and Age in COVID-19 Patients (preprint)

The transcriptional response of human blood leukocytes to SARS-CoV-2 infection was investigated focusing on the differences between mild and severe cases and between age subgroups. Weighted gene co-expression network analysis and comparative gene expression analysis were used. Three transcriptional modules positively associated with the traits of interest and their respective high hierarchy genes were identified. Enrichment analyses showed that the yellow module, associated with severe cases and older patients, had an overrepresentation of genes involved in inflammatory and innate immune responses, and neutrophil activation. The magenta and black modules, associated with disease severity and younger patients, contained genes related to innate immunity and inflammation and genes that regulate those responses. Subnetworks for these modules were constructed using genes enriched for innate immunity, inflammation, immunoregulation and differentially expressed genes (severe vs. mild). Their analysis evidenced that immunoregulatory functions are more activated in the modules associated with younger patients, what may help to explain the better disease course and faster recovery observed in younger COVID-19 patients. Comparative gene expression analysis between severe and mild groups, followed by gene enrichment and normalized gene expression analyses, revelated a set of 23 potential biomarkers for COVID-19 severity, of which 13 are newly described.

INTERMITTENT SOCIAL ISOLATION STRESS IN ADOLESCENCE INCREASES ETHANOL PREFERENCE IN JUVENILE MALES AND FEMALES AND ALTERS IRRITABILITY-LIKE BEHAVIORS IN MALE ADULTS

Chronic stress during the developmental period of adolescence increases the susceptibility to many neuropsychiatric diseases in adulthood, including anxiety-like and alcohol drinking behaviors. Social isolation is a particularly profound stressor with increasing human relevance, especially during the COVID-19 pandemic, when millions of adolescents have faced prolonged periods of isolation. Preclinical rodent models of adolescent isolation stress have produced mixed results that are often sex, species, and strain dependent. Here, we examined the effect of intermittent social isolation on alcohol intake and preference during adolescence (PND 28-56) in male and female Wistar rats and the long-term effects of juvenile social isolation and alcohol drinking on anxiety-and irritability-like behaviors. Furthermore, we studied genetically selected Marchigian Sardinian alcohol-preferring (msP) rats to compare the effects of social isolation in a rat strain of increased innate alcohol preference and high sensitivity to stress and anxiety. We developed and utilized a new model of social isolation and alcohol exposure whereby male and female rats beginning at PND28 were intermittently socially isolated for 24h prior to 2-bottle choice (2BC) access to ethanol (20%v/v, 2h/session) vs. water. After each session, the rats were regrouped until the next day when they were isolated again. This procedure was repeated for 3 days/week across 4 weeks. Two weeks later, as young adults (PND 80), all rats were tested for anxiety in the novelty induced hypophagia test and irritability in the bottle brush test. Social isolation increased alcohol preference in both male and female Wistars when compared to the group-housed control group, starting from week 1 and throughout adolescence. All msP rats displayed escalation of drinking during week 1 and 2 and the effect of the isolation was observed starting from week 3 in males only. No isolation effects were observed in female msPs throughout the 4 weeks. Social isolation and alcohol drinking during adolescence increased aggressive-like behavior in male adult Wistar rats, but not females, and did not alter anxiety measures. Together, these findings suggest that an intermittent social isolation followed by re-grouping produces increased alcohol preference in Wistar rats of both sexes and, with a different trend, in male msPs. Ongoing studies are elucidating the underlying physiological mechanisms.

Biomarker evaluation for prognostic stratification of patients with COVID-19: the added value of quantitative chest CT.

Aim: Pulmonary disease burden and biomarkers are possible predictors of outcomes in patients with COVID-19 and provide complementary information. In this study, the prognostic value of adding quantitative chest computed tomography (CT) to a multiple biomarker approach was evaluated among 148 hospitalized patients with confirmed COVID-19. Materials & methods: Patients admitted between March and July 2020 who were submitted to chest CT and biomarker measurement (troponin I, D-dimer and C-reactive protein) were retrospectively analyzed. Biomarker and tomographic data were compared and associated with death and intensive care unit admission. Results: The number of elevated biomarkers was significantly associated with greater opacification percentages, lower lung volumes and higher death and intensive care unit admission rates. Total lung volume <3.0 l provided further stratification for mortality when combined with biomarker evaluation. Conclusion: Adding automated CT data to a multiple biomarker approach may provide a simple strategy for enhancing risk stratification of patients with COVID-19.

Perception of teleworking by company managers and supervisors from the Maule Region (Chile) in times of the COVID-19 pandemic.

The present work aims to identify relevant factors influencing the adoption of business teleworking by collecting the perceptions and attitudes of company managers and supervisors within the context of the COVID-19 pandemic, caused by the Sars-CoV-2 virus. A quantitative study is performed by applying a questionnaire to a sample of 317 employees working in companies from the Maule Region, Chile. A database is built and analyzed in two phases: 1) a descriptive phase for demographic data and 2) an inferential and modeling phase to synthesize employees' perceptions and to determine possible causalities between variables. The results show eight factors. It is concluded that remote work is perceived as a contribution to the company, that the interviewees have a positive attitude towards remote work, and that technological variables enhance business continuity. (English) [ FROM AUTHOR] El presente trabajo tiene como objetivo identificar las dimensiones relevantes para la implementación del teletrabajo en empresas a través de la recolección de percepciones y actitudes de los directivos y supervisores, dado el contexto de la pandemia COVID-19 causada por el virus Sars-CoV-2. Se desarrolla un estudio cuantitativo mediante la aplicación de un cuestionario a una muestra de 317 empleados de empresas de la Región del Maule, Chile. Se elabora una base de datos que es analizada en dos fases: 1) fase descriptiva para los datos demográficos y 2) fase inferencial y de modelamiento para sintetizar las interpretaciones y determinar causalidades entre las variables estudiadas. Se logra determinar ocho factores. Se concluye que se percibe el trabajo remoto como un aporte para la empresa, que los entrevistados poseen una actitud positiva frente al trabajo a distancia y que las variables tecnológicas permiten la continuidad de las organizaciones. (Spanish) [ FROM AUTHOR] Copyright of Información Tecnológica is the property of Centro de Informacion Tecnologica (CIT) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)