Self-reported periodontitis association with impaired smell and taste: A multicenter survey.

OBJECTIVES: To investigate the association between self-reported periodontitis and the senses of taste and smell among employees of one Danish and two American universities. MATERIALS AND METHODS: Data were collected through a digital survey. A total of 1239 individuals from Aarhus University - Denmark, the University of Iowa, and the University of Florida - USA were included. Self-reported periodontitis was the exposure. The perceived senses of taste and smell were the outcomes and were measured through a visual analog scale (VAS). Self-perceived halitosis was the mediator. Confounders were age, sex, income, education, xerostomia, COVID-19, smoking, body mass index, and diabetes. The total effect was decomposed into direct and indirect using a counterfactual approach. RESULTS: The total effect of periodontitis on an impaired sense of taste was OR 1.56 (95% CI [1.02, 2.09]), of which 23% was mediated by halitosis (OR 1.13; 95% CI [1.03, 1.22]). Additionally, individuals with self-reported periodontitis had a 53% higher chance of having impaired smell (OR 1.53; 95% CI [1.00, 2.04]), with halitosis mediating 21% of the total effect (OR 1.11; 95% CI [1.02, 1.20]). CONCLUSION: Our findings suggest that periodontitis is associated with distorted senses of taste and smell. Additionally, this association appears to be mediated by halitosis.

SARS-CoV-2 BW lineage, a fast-growing Omicron variant from southeast Mexico bearing relevant escape mutations.

PURPOSE: The swift expansion of the BW.1 SARS-CoV-2 variant coincided with a rapid increase of COVID-19 cases occurring in Southeast Mexico in October, 2022, which marked the start of Mexico's sixth epidemiological wave. In Yucatan, up to 92% (58 of 73) of weekly sequenced genomes between epidemiological week 42 and 47 were identified as either BW.1 or its descendant, BW.1.1 in the region, during the last trimester of 2022. In the current study, a comprehensive genomic comparison was carried out to characterize the evolutionary history of the BW lineage, identifying its origins and its most important mutations. METHODS: An alignment of all the genomes of the BW lineage and its parental BA.5.6.2 variant was carried out to identify their mutations. A phylogenetic and ancestral sequence reconstruction analysis with geographical inference, as well as a longitudinal analysis of point mutations, were performed to trace back their origin and contrast them with key RBD mutations in variant BQ.1, one of the fastest-growing lineages to date. RESULTS: Our ancestral reconstruction analysis portrayed Mexico as the most probable origin of the BW.1 and BW.1.1 variants. Two synonymous substitutions, T7666C and C14599T, support their Mexican origin, whereas other two mutations are specific to BW.1: S:N460K and ORF1a:V627I. Two additional substitutions and a deletion are found in its descending subvariant, BW.1.1. Mutations found in the receptor binding domain, S:K444T, S:L452R, S:N460K, and S:F486V in BW.1 have been reported to be relevant for immune escape and are also key mutations in the BQ.1 lineage. CONCLUSIONS: BW.1 appears to have arisen in the Yucatan Peninsula in Southeast Mexico sometime around July 2022 during the fifth COVID-19 wave. Its rapid growth may be in part explained by the relevant escape mutations also found in BQ.1.

Two-year follow-up of the COVID-19 pandemic in Mexico.

Background: After the initial outbreak in China (December 2019), the World Health Organization declared COVID-19 a pandemic on March 11th, 2020. This paper aims to describe the first 2 years of the pandemic in Mexico. Design and methods: This is a population-based longitudinal study. We analyzed data from the national COVID-19 registry to describe the evolution of the pandemic in terms of the number of confirmed cases, hospitalizations, deaths and reported symptoms in relation to health policies and circulating variants. We also carried out logistic regression to investigate the major risk factors for disease severity. Results: From March 2020 to March 2022, the coronavirus disease 2019 (COVID-19) pandemic in Mexico underwent four epidemic waves. Out of 5,702,143 confirmed cases, 680,063 were hospitalized (11.9%), and 324,436 (5.7%) died. Even if there was no difference in susceptibility by gender, males had a higher risk of death (CFP: 7.3 vs. 4.2%) and hospital admission risk (HP: 14.4 vs. 9.5%). Severity increased with age. With respect to younger ages (0-17 years), the 60+ years or older group reached adjusted odds ratios of 9.63 in the case of admission and 53.05 (95% CI: 27.94-118.62) in the case of death. The presence of any comorbidity more than doubled the odds ratio, with hypertension-diabetes as the riskiest combination. While the wave peaks increased over time, the odds ratios for developing severe disease (waves 2, 3, and 4 to wave 1) decreased to 0.15 (95% CI: 0.12-0.18) in the fourth wave. Conclusion: The health policy promoted by the Mexican government decreased hospitalizations and deaths, particularly among older adults with the highest risk of admission and death. Comorbidities augment the risk of developing severe illness, which is shown to rise by double in the Mexican population, particularly for those reported with hypertension-diabetes. Factors such as the decrease in the severity of the SARS-CoV2 variants, changes in symptomatology, and advances in the management of patients, vaccination, and treatments influenced the decrease in mortality and hospitalizations.

Omicron-BA.1 Dispersion Rates in Mexico Varied According to the Regional Epidemic Patterns and the Diversity of Local Delta Subvariants.

PURPOSE: The Omicron subvariant BA.1 of SARS-CoV-2 was first detected in November 2021 and quickly spread worldwide, displacing the Delta variant. In this work, a characterization of the spread of this variant in Mexico is presented. METHODS: The time to fixation of BA.1, the diversity of Delta sublineages, the population density, and the level of virus circulation during the inter-wave interval were determined to analyze differences in BA.1 spread. RESULTS: BA.1 began spreading during the first week of December 2021 and became dominant in the next three weeks, causing the fourth COVID-19 epidemiological surge in Mexico. Unlike previous variants, BA.1 did not exhibit a geographically distinct circulation pattern. However, a regional difference in the speed of the replacement of the Delta variant was observed. CONCLUSIONS: Viral diversity and the relative abundance of the virus in a particular area around the time of the introduction of a new lineage seem to have influenced the spread dynamics, in addition to population density. Nonetheless, if there is a significant difference in the fitness of the variants, or if the time allowed for the competition is sufficiently long, it seems the fitter virus will eventually become dominant, as observed in the eventual dominance of the BA.1.x variant in Mexico.

The Alpha Variant (B.1.1.7) of SARS-CoV-2 Failed to Become Dominant in Mexico.

During the coronavirus disease 2019 (COVID-19) pandemic, the emergence and rapid increase of the B.1.1.7 (Alpha) lineage of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first identified in the United Kingdom in September 2020, was well documented in different areas of the world and became a global public health concern because of its increased transmissibility. The B.1.1.7 lineage was first detected in Mexico during December 2020, showing a slow progressive increase in its circulation frequency, which reached its maximum in May 2021 but never became predominant. In this work, we analyzed the patterns of diversity and distribution of this lineage in Mexico using phylogenetic and haplotype network analyses. Despite the reported increase in transmissibility of the B.1.1.7 lineage, in most Mexican states, it did not displace cocirculating lineages, such as B.1.1.519, which dominated the country from February to May 2021. Our results show that the states with the highest prevalence of B.1.1.7 were those at the Mexico-U.S. border. An apparent pattern of dispersion of this lineage from the northern states of Mexico toward the center or the southeast was observed in the largest transmission chains, indicating possible independent introduction events from the United States. However, other entry points cannot be excluded, as shown by multiple introduction events. Local transmission led to a few successful haplotypes with a localized distribution and specific mutations indicating sustained community transmission. IMPORTANCE The emergence and rapid increase of the B.1.1.7 (Alpha) lineage of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) throughout the world were due to its increased transmissibility. However, it did not displace cocirculating lineages in most of Mexico, particularly B.1.1.519, which dominated the country from February to May 2021. In this work, we analyzed the distribution of B.1.1.7 in Mexico using phylogenetic and haplotype network analyses. Our results show that the states with the highest prevalence of B.1.1.7 (around 30%) were those at the Mexico-U.S. border, which also exhibited the highest lineage diversity, indicating possible introduction events from the United States. Also, several haplotypes were identified with a localized distribution and specific mutations, indicating that sustained community transmission occurred in the country.

Metagenomic analysis reveals differences in the co-occurrence and abundance of viral species in SARS-CoV-2 patients with different severity of disease.

BACKGROUND: SARS-CoV-2 infections have a wide spectrum of clinical manifestations whose causes are not completely understood. Some human conditions predispose to severe outcome, like old age or the presence of comorbidities, but many other facets, including coinfections with other viruses, remain poorly characterized. METHODS: In this study, the eukaryotic fraction of the respiratory virome of 120 COVID-19 patients was characterized through whole metagenomic sequencing. RESULTS: Genetic material from respiratory viruses was detected in 25% of all samples, whereas human viruses other than SARS-CoV-2 were found in 80% of them. Samples from hospitalized and deceased patients presented a higher prevalence of different viruses when compared to ambulatory individuals. Small circular DNA viruses from the Anneloviridae (Torque teno midi virus 8, TTV-like mini virus 19 and 26) and Cycloviridae families (Human associated cyclovirus 10), Human betaherpesvirus 6, were found to be significantly more abundant in samples from deceased and hospitalized patients compared to samples from ambulatory individuals. Similarly, Rotavirus A, Measles morbillivirus and Alphapapilomavirus 10 were significantly more prevalent in deceased patients compared to hospitalized and ambulatory individuals. CONCLUSIONS: Results show the suitability of using metagenomics to characterize a broader peripheric virological landscape of the eukaryotic virome in SARS-CoV-2 infected patients with distinct disease outcomes. Identified prevalent viruses in hospitalized and deceased patients may prove important for the targeted exploration of coinfections that may impact prognosis.

The New SARS-CoV-2 Variants and Their Epidemiological Impact in Mexico.

The COVID-19 disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus started its deadly journey into a global pandemic in Wuhan, China, in December 2019, where it was first isolated. Subsequently, multiple variants of the virus have been identified worldwide. In this review, we discuss the overall landscape of the pandemic in Mexico, including its most prevalent variants, their surveillance at a genomic level, and how they impacted the epidemiology of the disease. We also evaluate the heterologous vaccination in Mexico and how it may have influenced group immunity and helped mitigate the pandemic. Finally, we present an integrated view that could help us to understand the pandemic and serve as an example of the situation in Latin America.

Educational level, gender and health practices regarding COVID-19 in N'Djamena, Chad: A cross-sectional study.

COVID-19 is affecting different countries and populations unequally. In this sense, sub-Saharan countries represent a particularly vulnerable context due to their unique demographic and health circumstances. A holistic approach to Covid-19 is urged, one that considers the social-cultural contexts of people's lives. Using Social Determinants of Health (SDH) as framework, we explore which variables could explain the differences in health practices regarding the prevention of COVID-19 in Chad, in order to propose recommendations that allow communities to better face future health crises. The study was designed as a cross-sectional survey conducted in N'Djamena, Chad, using a convenience sampling technique that included 2,330 participants. A regression model was fitted to assess the relationship between educational level, gender, and health practices regarding COVID-19. 2,269 participants completed the survey successfully. Participants mean age was 31.04, 61.52% were male, and 40.55% had precarious jobs. 21.38% of participants answered right all questions regarding knowledge and 37.19% followed all preventive measures. Findings show that safe practices regarding COVID-19 depend on right knowledge. Gender influences knowledge mainly through its influence on education. Vulnerability is given by women's reduced access to education. The SDH approach provide with an exploratory explanation and some recommendations aimed at local authorities. Access to education for all men and women must be improved to increase health practices and better deal with future health crises.

Dominance of Three Sublineages of the SARS-CoV-2 Delta Variant in Mexico.

In this study, we analyzed the sequences of SARS-CoV-2 isolates of the Delta variant in Mexico, which has completely replaced other previously circulating variants in the country due to its transmission advantage. Among all the Delta sublineages that were detected, 81.5 % were classified as AY.20, AY.26, and AY.100. According to publicly available data, these only reached a world prevalence of less than 1%, suggesting a possible Mexican origin. The signature mutations of these sublineages are described herein, and phylogenetic analyses and haplotype networks are used to track their spread across the country. Other frequently detected sublineages include AY.3, AY.62, AY.103, and AY.113. Over time, the main sublineages showed different geographical distributions, with AY.20 predominant in Central Mexico, AY.26 in the North, and AY.100 in the Northwest and South/Southeast. This work describes the circulation, from May to November 2021, of the primary sublineages of the Delta variant associated with the third wave of the COVID-19 pandemic in Mexico and highlights the importance of SARS-CoV-2 genomic surveillance for the timely identification of emerging variants that may impact public health.

Artificial intelligence in COVID-19 evidence syntheses was underutilized, but impactful: a methodological study.

OBJECTIVES: A rapidly developing scenario like a pandemic requires the prompt production of high-quality systematic reviews, which can be automated using artificial intelligence (AI) techniques. We evaluated the application of AI tools in COVID-19 evidence syntheses. STUDY DESIGN: After prospective registration of the review protocol, we automated the download of all open-access COVID-19 systematic reviews in the COVID-19 Living Overview of Evidence database, indexed them for AI-related keywords, and located those that used AI tools. We compared their journals' JCR Impact Factor, citations per month, screening workloads, completion times (from pre-registration to preprint or submission to a journal) and AMSTAR-2 methodology assessments (maximum score 13 points) with a set of publication date matched control reviews without AI. RESULTS: Of the 3,999 COVID-19 reviews, 28 (0.7%, 95% CI 0.47-1.03%) made use of AI. On average, compared to controls (n = 64), AI reviews were published in journals with higher Impact Factors (median 8.9 vs. 3.5, P < 0.001), and screened more abstracts per author (302.2 vs. 140.3, P = 0.009) and per included study (189.0 vs. 365.8, P < 0.001) while inspecting less full texts per author (5.3 vs. 14.0, P = 0.005). No differences were found in citation counts (0.5 vs. 0.6, P = 0.600), inspected full texts per included study (3.8 vs. 3.4, P = 0.481), completion times (74.0 vs. 123.0, P = 0.205) or AMSTAR-2 (7.5 vs. 6.3, P = 0.119). CONCLUSION: AI was an underutilized tool in COVID-19 systematic reviews. Its usage, compared to reviews without AI, was associated with more efficient screening of literature and higher publication impact. There is scope for the application of AI in automating systematic reviews.

Search and sequence analysis tools services from EMBL-EBI in 2022.

The EMBL-EBI search and sequence analysis tools frameworks provide integrated access to EMBL-EBI's data resources and core bioinformatics analytical tools. EBI Search (https://www.ebi.ac.uk/ebisearch) provides a full-text search engine across nearly 5 billion entries, while the Job Dispatcher tools framework (https://www.ebi.ac.uk/services) enables the scientific community to perform a diverse range of sequence analysis using popular bioinformatics applications. Both allow users to interact through user-friendly web applications, as well as via RESTful and SOAP-based APIs. Here, we describe recent improvements to these services and updates made to accommodate the increasing data requirements during the COVID-19 pandemic.

Bipolar disorder, pregnancy, COVID-19: Electroconvulsive therapy is needed!

IntroductionTreating pregnant women with bipolar disorder is among the most challenging clinical endeavors. Patients and clinicians are faced with difficult choices at every turn, and no approach is without risk. Many primary mood stabilizers have been associated with risk of congenital malformations. In the last 15 years, there has been an increase of antepartum use of atypical antipsychotic drugs, many of which could be viable alternatives to mood stabilizers. Electroconvulsive therapy has been recommended as a safe and efficacious treatment of bipolar depressive and manic episodes in pregnant women.ObjectivesThis case presents a 24-year-old woman, with COVID-19 infection, that underwent an acute manic episode at her 20-weeks-pregnancy. The goal was to stabilize the patient by the use of electroconvulsive therapy.MethodsThe patient was admitted in isolation in the psychiatric ward. Treatment was started with olanzapine 20mg/d and lorazepam 4mg/d. The patient maintained psychotic agitation that required higher dosage, while on the second week of isolation the PCR test was negative. After six weeks of treatment severe manic symptoms continued and electroconvulsive therapy was started.ResultsShe received 10 electroconvulsive therapy sessions. The patient showed a substantial clinical improvement after the seventh administration. She gave birth at 37 weeks, with no complications during labor (Apgar 9/10).ConclusionsElectroconvulsive therapy has been shown as a suitable option for patients with severe psychiatric disorders in the pregnancy period, either medication resistant illness and psychotic agitation.DisclosureNo significant relationships.

The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic will be remembered as one of the defining events of the 21st century. The rapid global outbreak has had significant impacts on human society and is already responsible for millions of deaths. Understanding and tackling the impact of the virus has required a worldwide mobilisation and coordination of scientific research. The COVID-19 Data Portal (https://www.covid19dataportal.org/) was first released as part of the European COVID-19 Data Platform, on April 20th 2020 to facilitate rapid and open data sharing and analysis, to accelerate global SARS-CoV-2 and COVID-19 research. The COVID-19 Data Portal has fortnightly feature releases to continue to add new data types, search options, visualisations and improvements based on user feedback and research. The open datasets and intuitive suite of search, identification and download services, represent a truly FAIR (Findable, Accessible, Interoperable and Reusable) resource that enables researchers to easily identify and quickly obtain the key datasets needed for their COVID-19 research.

Centroamérica frente a la pandemia: retos de la política macroeconómica 1

El propósito del presente artículo es doble. Por una parte, se ocupa de describir el estado socioeconómico de la subregión centroamericana antes de la pandemia de enfermedad por coronavirus (COVID-19). Por otra, pone a disposición un análisis comparativo de las políticas macroeconómicas que han aplicado los gobiernos de los países ante la crisis derivada de la pandemia. Como un aspecto central el texto también plantea, desde una perspectiva estructural, los principales desafíos en términos de políticas nacionales (durante la pandemia y posteriores a ella, si cabe así decirlo) de protección social y de reactivación de la actividad productiva y el empleo, así como la necesidad de lograr un pacto nacional por una nueva agenda de desarrollo. Se ponen de relieve aspectos externos que deberían acompañar a las políticas nacionales, entre ellas las referidas a coordinación regional, cooperación y financiamiento internacional, así como una reestructuración de las instituciones financieras y crediticias.

Knowledge, Attitudes and Practices Regarding COVID­19 in N'Djamena, Chad.

The first African COVID-19 case was reported in Egypt in February 2020. Since then, Sub-Saharan countries have struggled to respond to the pandemic. Among them, Chad is characterized by a high rate of poverty and mortality, a high burden of infectious diseases, insufficient epidemiological surveillance and underdeveloped infrastructure. In this study, we explore the knowledge, attitudes and practices (KAPs) regarding COVID-19 within the Chadian population, to determine whether there are more vulnerable groups of the population that require greater attention from authorities. This study was designed as a cross-sectional survey conducted in N'Djamena, Chad, using a convenience sampling technique that included 2269 participants. The study was conducted in May and August 2020. Questions regarding technical concepts were answered incorrectly by most participants (83.65%). The population had better knowledge about concrete aspects of the pandemics, such as prevention measures and contagion. Regarding attitudes, 34.55% participants were very concerned about the possibility of being infected, 81.27% were unsatisfied/very unsatisfied with their social relationships after the pandemic began, and 68.44% thought that the pandemic was a disturbing/very disturbing issue. As for practices, 49.41% of men followed all preventive measures compared to 32.07% of women, and 3.04% of people with vulnerable jobs did not respect any of preventive measures compared to 1.19% of people without this condition. Gender, job conditions and educational level impact KAPs within the Chadian population. It is suggested that local authorities in Chad should consider these variables when developing health strategies.

Orientaciones éticas para la toma de decisiones médicas en el contexto de la pandemia de COVID-19 en Chile

The catastrophic emergency experienced by many countries with the COVID-19 pandemic emphasized the importance of bioethics for decision-making, both at the public health (equitable and effective policies) and at the clinical level. At the clinical level, the issues are the fulfillment of medical care demand with adequate health care teams, infrastructure, and supplies, and to cover critical care demands that surpass the available resources. Therefore, ethically correct approaches are required for the allocation of life sustaining resources. There are recommendations for the allocating life support during disasters based on multiple considerations, including ethical ones. However, the ethical criteria of existing guidelines are variable. Ethical principles usually considered are saving the greatest number of lives, saving the greatest number of years of life and the principle of the life cycle or the goal to give each individual equal opportunity to live through the various phases of life. However, the centrality of the human being and the search for the common good should be considered. Knowledge of public perspectives and moral benchmarks on these issues is essential. A successful assignment effort will require everyone's trust and cooperation. Decision making should be planned and discussed in advance, since in-depth deliberation will be extremely complex during the disaster. Our goal is to help the health care teams to wisely allocate resources in shortage periods.

[Ethical guidelines for medical decision-making during COVID-19 pandemic in Chile]. / Orientaciones éticas para la toma de decisiones médicas en el contexto de la pandemia de COVID-19 en Chile.

The catastrophic emergency experienced by many countries with the COVID-19 pandemic emphasized the importance of bioethics for decision-making, both at the public health (equitable and effective policies) and at the clinical level. At the clinical level, the issues are the fulfillment of medical care demand with adequate health care teams, infrastructure, and supplies, and to cover critical care demands that surpass the available resources. Therefore, ethically correct approaches are required for the allocation of life sustaining resources. There are recommendations for the allocating life support during disasters based on multiple considerations, including ethical ones. However, the ethical criteria of existing guidelines are variable. Ethical principles usually considered are saving the greatest number of lives, saving the greatest number of years of life and the principle of the life cycle or the goal to give each individual equal opportunity to live through the various phases of life. However, the centrality of the human being and the search for the common good should be considered. Knowledge of public perspectives and moral benchmarks on these issues is essential. A successful assignment effort will require everyone's trust and cooperation. Decision making should be planned and discussed in advance, since in-depth deliberation will be extremely complex during the disaster. Our goal is to help the health care teams to wisely allocate resources in shortage periods.