The COVID-19 epidemic curve and vaccine acceptance among patients with rheumatic diseases: an ecological study.

The attitudes toward emerging COVID-19 vaccines have been of great interest worldwide, especially among vulnerable populations such as patients with rheumatic and musculoskeletal diseases (RMDs). The aim of this study was to analyze the relationship between the nationwide number of COVID-19 cases and deaths, and vaccine acceptance or hesitancy of patients with RMDs from four patient care centers in Mexico. Furthermore, we explored differences in acceptance according to specific diagnoses: rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). This ecological study was a secondary analysis of a cross-sectional study using a validated questionnaire to measure vaccine acceptance. We generated a global Likert scale to evaluate overall attitudes toward the COVID-19 vaccine. We analyzed data from 1336 patients from March to September 2021: 85.13% (1169) were women, with a mean age of 47.87 (SD 14.14) years. The most frequent diagnoses were RA (42.85%, 559) and SLE (27.08%, 393). 635(47.52%) patients were unvaccinated, 253(18.93%) had one dose and 478(35.77%) had two doses. Of all participating patients, 94% were accepting toward the COVID-19 vaccine. Vaccine acceptance remained consistently high throughout the study. However, differences in vaccine acceptance are identified when comparing diagnoses. The peak of the national epidemic curve coincided with an increase in hesitancy among patients with RA. Contrastingly, patients with SLE became more accepting as the epidemic curve peaked. Mexican patients show high acceptance of the COVID-19 vaccine, influenced in part by a patient's specific diagnosis. Furthermore, vaccine acceptance increased mirroring the curve of COVID-19 cases and deaths in the country. This should be taken into consideration when updating recommendations for clinical practice.

Ethical issues in susceptibility genetic testing for late-onset neurodegenerative diseases.

Genome-wide association studies have revolutionized our understanding of the genetic architecture of complex traits and diseases over the last decade. This knowledge is enabling clinicians, researchers, and direct-to-consumer genetics companies to conduct disease susceptibility testing based on powerful methods such as polygenic risk scoring. However, these technologies raise a set of complex ethical, legal, social, and policy considerations. Here we review and discuss a series of ethical dilemmas associated with susceptibility genetic testing for the two most common late-onset neurodegenerative diseases, Alzheimer's and Parkinson's disease, including testing in asymptomatic individuals. Among others, these include informed consent, disclosure of results and unexpected findings, mandatory screening, privacy and confidentiality, and stigma and genetic discrimination. Importantly, appropriate counseling is a deciding factor for the ethical soundness of genetic testing, which poses a challenge for the regulation of these tests and the training of healthcare professionals. As genetic knowledge about these diseases continues growing and genetic testing becomes more widespread, it is increasingly important to raise awareness among researchers, medical practitioners, genetic counselors, and decision makers about the ethical, legal, and social issues associated with genetic testing for polygenic diseases.

Termination of pregnancy in lupus nephritis: A bioethical analysis with the integrative method.

BACKGROUND AND OBJECTIVE: Termination of pregnancy in patients with rheumatic diseases is controversial and a bioethical analysis is rarely performed. In this study we analysed the case of a pregnant patient with lupus nephritis unresponsive to treatment, for whom termination of pregnancy is considered. METHODS: The integrative model was applied combining different normative ethical theories. RESULTS: From a utilitarian perspective, termination of pregnancy is justifiable, seeking the greatest benefit for the greatest number of stakeholders. Deontology justifies both terminating and continuing the pregnancy, focusing on the action itself and on autonomy. In virtue ethics the importance of decisions rests with the person who performs the action seeking flourishing; termination of pregnancy would be justifiable. DISCUSSION AND CONCLUSIONS: Interruption of pregnancy is a justifiable solution following the integrative model. Bioethical analysis of paradigmatic cases is essential to ensure the best possible action and as a precedent for future similar situations in rheumatology.

Sociocultural and moral narratives influencing the decision to vaccinate among rheumatic disease patients: a qualitative study.

INTRODUCTION/OBJECTIVES: Vaccination is a process that involves individual, social, and ethical aspects, beyond public governance of vaccines or vaccination as a public health concern. The aim of this study is to describe the sociocultural and moral narratives that influence the decision to vaccinate in general and to vaccinate against COVID-19 specifically, among patients at the rheumatology units of two hospitals. METHODS: Qualitative study involving individual semi-structured interviews following an interview guide. We conducted a thematic analysis using the ATLAS.ti software, with further triangulation to verify concordance and aid in the interpretation of the data from a medical anthropology framework and using a narrative ethics approach to gain insight into the participants' underlying moral values. RESULTS: We interviewed 37 patients in total, along with 3 rheumatologists. Five core themes emerged from the analysis to understand the decision to vaccinate: (1) information about vaccines and disease, (2) perceived risk-benefit of vaccination, (3) the physician-patient relationship, (4) governance of vaccination programs, (5) attitudes towards vaccines. Individual and family experiences with vaccination are diverse depending on the type of vaccine. The COVID-19 vaccine, as a new medical technology, is met with more controversy leading to hesitancy. CONCLUSIONS: The decision to vaccinate among Mexican rheumatic disease patients can sometimes involve doubt and distrust, especially for those with a lupus diagnosis, but ultimately there is acceptance in most cases. Though patients make and value autonomous decisions, there is a collective process involving sociocultural and ethical aspects. Key points • The complexity of vaccine decision-making is better identified through a narrative, qualitative approach like the one used in this study, as opposed to solely quantitative approaches • Sociocultural and moral perspectives of vaccination shape decision-making and, therefore, highlight the importance of including patients in the development of effective clinical practice guidelines as well as ethically justified public policy • Sociohistorical context and personal experiences of immunization influence vaccine decision-making much more than access to biomedical information about vaccines, showing that approaches based on the information deficit model are inadequate to fight vaccine hesitancy.

The basics of data, big data, and machine learning in clinical practice.

Health informatics and biomedical computing have introduced the use of computer methods to analyze clinical information and provide tools to assist clinicians during the diagnosis and treatment of diverse clinical conditions. With the amount of information that can be obtained in the healthcare setting, new methods to acquire, organize, and analyze the data are being developed each day, including new applications in the world of big data and machine learning. In this review, first we present the most basic concepts in data science, including the structural hierarchy of information and how it is managed. A section is dedicated to discussing topics relevant to the acquisition of data, importantly the availability and use of online resources such as survey software and cloud computing services. Along with digital datasets, these tools make it possible to create more diverse models and facilitate collaboration. After, we describe concepts and techniques in machine learning used to process and analyze health data, especially those most widely applied in rheumatology. Overall, the objective of this review is to aid in the comprehension of how data science is used in health, with a special emphasis on the relevance to the field of rheumatology. It provides clinicians with basic tools on how to approach and understand new trends in health informatics analysis currently being used in rheumatology practice. If clinicians understand the potential use and limitations of health informatics, this will facilitate interdisciplinary conversations and continued projects relating to data, big data, and machine learning.

Big data and data processing in rheumatology: bioethical perspectives.

Big data analytics and processing through artificial intelligence (AI) are increasingly being used in the health sector. This includes both clinical and research settings, and newly in specialties like rheumatology. It is, however, important to consider how these new methodologies are used, and particularly the sensitivities associated with personal information. Based on current applications in rheumatology, this article provides a narrative review of the bioethical perspectives of big data. It presents examples of databases, data analytic methods, and AI in this specialty to address four main ethical issues: privacy and confidentiality, informed consent, the impact on the medical profession, and justice. The use of big data and AI processing in healthcare has great potential to improve the quality of clinical care, including through better diagnosis, treatment, and prognosis. They may also increase patient and societal participation and engagement in healthcare and research. Developing these methodologies and using the information generated from them in line with ethical standards could positively affect the design of global health policies and introduce a new phase in the democratization of health.Key Points• Current applications of big data, data analytics, and AI in rheumatology-including registries, machine learning algorithms, and consumer-facing platforms-raise issues in four main bioethical areas: privacy and confidentiality, informed consent, the impact on the medical profession, and justice.• Bioethical concerns about rheumatology registries require careful consideration of privacy provisions, set within the context of local, national, and regional law.• Machine learning and big data aid diagnosis, treatment, and prognosis, but the final decision about the use of information from algorithms should be left to rheumatology specialists to maintain the promise of fiduciary obligations in the physician-patient relationship.• International collaboration in big data projects and increased patient engagement could be ways to counteract health inequalities in the practice of rheumatology, even on a global scale.

The COVID-19 Pandemic and Ethics in Mexico Through a Gender Lens.

In Mexico, significant ethical and social issues have been raised by the COVID-19 pandemic. Some of the most pressing issues are the extent of restrictive measures, the reciprocal duties to healthcare workers, the allocation of scarce resources, and the need for research. While policy and ethical frameworks are being developed to face these problems, the gender perspective has been largely overlooked in most of the issues at stake. Domestic violence is the most prevalent form of violence against women, which can be exacerbated during a pandemic: stress and economic uncertainty are triggers for abuse, and confinement limits access to support networks. Confinement also exacerbates the unfair distribution of unpaid labor, which is disproportionately assigned to women and girls, and highlights inequality in the overall labor market. Lack of security measures has resulted in attacks towards health workers, particularly female nurses, due to fear of contamination. Finally, resource results in lack of access to other health necessities, including sexual and reproductive health services. Research across all disciplines to face-and to learn from-this crisis should be done through a gender lens, because understanding the realities of women is essential to understand the pandemic's true effects in Mexico and the world.

Immune checkpoints and the regulation of tolerogenicity in dendritic cells: Implications for autoimmunity and immunotherapy.

The immune system is responsible for defending the host from a large variety of potential pathogens, while simultaneously avoiding immune reactivity towards self-components. Self-tolerance has to be tightly maintained throughout several central and peripheral processes; immune checkpoints are imperative for regulating the immunity/tolerance balance. Dendritic cells (DCs) are specialized cells that capture antigens, and either activate or inhibit antigen-specific T cells. Therefore, they play a key role at inducing and maintaining immune tolerance. DCs that suppress the immune response have been called tolerogenic dendritic cells (tolDCs). Given their potential as a therapy to prevent transplant rejection and autoimmune damage, several strategies are under development to generate tolDCs, in order to avoid activation and expansion of self-reactive T cells. In this article, we summarize the current knowledge relative to the main features of tolDCs, their mechanisms of action and their therapeutic use for autoimmune diseases. Based on the literature reviewed, autologous antigen-specific tolDCs might constitute a promising strategy to suppress autoreactive T cells and reduce detrimental inflammatory processes.

Cophylogenetic analysis suggests cospeciation between the Scorpion Mycoplasma Clade symbionts and their hosts.

Scorpions are predator arachnids of ancient origin and worldwide distribution. Two scorpion species, Vaejovis smithi and Centruroides limpidus, were found to harbor two different Mollicutes phylotypes: a Scorpion Mycoplasma Clade (SMC) and Scorpion Group 1 (SG1). Here we investigated, using a targeted gene sequencing strategy, whether these Mollicutes were present in 23 scorpion morphospecies belonging to the Vaejovidae, Carboctonidae, Euscorpiidae, Diplocentridae, and Buthidae families. Our results revealed that SMC is found in a species-specific association with Vaejovidae and Buthidae, whereas SG1 is uniquely found in Vaejovidae. SMC and SG1 co-occur only in Vaejovis smithi where 43% of the individuals host both phylotypes. A phylogenetic analysis of Mollicutes 16S rRNA showed that SMC and SG1 constitute well-delineated phylotypes. Additionally, we found that SMC and scorpion phylogenies are significantly congruent, supporting the observation that a cospeciation process may have occurred. This study highlights the phylogenetic diversity of the scorpion associated Mollicutes through different species revealing a possible cospeciation pattern.