Real-time, leukocyte-related, four times validated, patient data partitioning

Introduction: Indicators that assess relationships among leukocytes may inform more and/or earlier than those measured in isolation. Method(s): Blood leukocyte differential counts collected from 101 Mayo Clinic COVID-19 patients were related to later outcomes following two approaches: (i) as unstructured data (e.g., lymphocyte percentages) and (ii) as data structures that assess intercellular interactions. Analyzing the same primary data, it was asked whether information contents differed among methods and/or when two sets of structured indicators are used. Result(s): While unstructured data did not distinguish survivors from non-survivors (Fig. 1, rectangle A), one data structure (here identified with letters expressed in italics) exhibited one perpendicular inflection that differentiated two patient groups (B). Two survivor-related observations were also distinguished from the remaining data points (B). A second data structure also revealed a single line of observations and a perpendicular data inflection (C), while more (four) patient groups were identified (D). Four validations were conducted: (i) increasing mortality levels among contiguous data subsets (0, 7.1, 16.2, or 44.4%) suggested construct validity (D);(ii) internal validity was indicated because 22 of the 45 survivors detected by the first data structure were also captured by the second one;(iii) the analysis of patients that differed in address, co-morbidities and other aspects supported external validity;and (iv) quasi non-overlapping data intervals predicted statistical validity (E, F). The structured approach also uncovered new and/ or dissimilar information: different leukocyte-related ratios explained the clusters identified in these analyses (E, F). Conclusion(s): Structured data may yield more information than methods that do not assess multicellular interactions. Possible applications include daily, longitudinal, and personalized analysis of hospital data.

The Relationship between Self-Efficacy, State-Trait Anxiety and Cognitive Test Anxiety: A Study among University Students in Argentina

This study aims to explore and analyze the relationship between general self-efficacy, state and trait anxiety and test anxiety in private university students of psychology and psycho-pedagogy careers from Argentina. Results showed positive correlations between trait anxiety and test anxiety, and between state anxiety and test anxiety. Negative correlations emerged between general self-efficacy and state anxiety, trait anxiety and test anxiety. It was possible to verify that high levels of general self-efficacy together with low levels of trait anxiety predicted 27% test anxiety variance. While similar results were found in previous works, these findings amplify the scope of research to specific contexts such as Latin American university students. It is recommended to continue the study of these variables in situations as close as possible to the exam situation and considering changes in educational setting worldwide due to the COVID-19 pandemic, thus allowing the promotion of student’s welfare throughout programs that promote general self-efficacy as a protective variable. © 2022, South-West University "Neofit Rilski". All rights reserved.

Association between dietary exposure to bisphenols and body mass index in Spanish schoolchildren

The increase in children obesity worldwide has been of particular concern in recent decades. Environmental factors have been proposed as contributors to obesity, and there is a growing concern over obesogens, environmental chemicals with potential obesity‐related endocrine‐disrupting properties. In this regard, bisphenol A (BPA) and its analogues are suspected to have obesogenic properties. Current document report on the activities of the fellow, undertaken during the fourth, 2020–2021 cycle of the EU‐FORA programme at the University of Granada, Institute of Nutrition and Food Science, in Spain. The work programme offered by the hosting site was related to the extrapolation of bisphenols exposure following the determination of these compounds in food frequently consumed by children and in their biological samples. The fellow has participated in the recruitment of the study population in the health centres. In addition, she has participated in the collection of the children biological samples, anthropometric measurements and dietary surveys and in the optimisation of the laboratory methodology for the extraction of bisphenols in biological samples. All these activities also provided the fellow an opportunity to develop her data science related skills, which will benefit her professional development. In addition, the fellow gained an overview of various topics related to food safety risk assessment by attending the EU‐FORA dedicated training modules.

Individualized Prognostics in COVID-19 Facilitated by Computer Recognition of Blood Leukocyte Subsets

Background. To determine whether CBC differentials of COVID+ inpatients can predict, at admission, both maximum oxygen requirements (MOR) and 30-day mortality. Methods. Based on an approved IRB protocol, CBC differentials from the first 3 days of hospitalization of 12 SARS CoV-2 infected patients were retrospectively extracted from hospital records and analyzed with a privately owned Pattern Recognition Software (PRS, US Patent 10,429,389 B2) previously validated in sepsis, HIV, and hantavirus infections. PRS partitions the data into subsets immunologically dissimilar from one another, although internally similar. Results. Regardless of the angle considered, the classic analysis -which measured the percentages of lymphocytes, monocytes, and neutrophils- did not distinguish outcomes (A). In contrast, non-overlapping patterns generated by the PRS differentiated 3 (left, vertical, and right) groups of patients (B). One subset was only composed of survivors (B). The remaining subsets included the highest oxygenation requirements (B). At least two immunologically interpretable, multi-cellular indicators distinguished the 3 data subsets with statistically significant differences (C, p≤ 0.05). Survivors (the left subset) showed lower N/L and/or higher M/L ratios than non-survivors (the vertical subset, C).Therefore, PRS partitioned the data into subsets that displayed both biological and significant differences. Because it offers visually explicit information, clinicians do not require a specialized training to interpret PRS-generated results. CBCs vs. outcomes - Software-analyzed CBCs vs. outcomes Conclusion. (1) Analysis of blood leukocyte data predicts MOR and 30-d mortality. (2) Real time PRS analysis facilitates personalized medical decisions. (3) PRS measures two dimensions rarely assessed: multi-cellularity and dynamics. (4) Even with very small datasets, PRS may achieve statistical significance. (5) Larger COVID+ infected cohort is being analyzed for potential commercialization.

Infection in asymptomatic carriers of SARS-CoV-2 can interfere with the achievement of robust immunity on a population scale

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to spread worldwide as a severe pandemic, and a significant portion of the infected population may remain asymptomatic. Given this, five surveys were carried out between May and September 2020 with a total of 3585 volunteers in the municipality of Foz do Igua..u, State of Paran.., a triple border region between Brazil/Argentina/Paraguay. Five months after the first infection, volunteers were re-analysed for the production of IgG anti-Spike and anti-RBD-Spike, in addition to analyses of cellular immunity. Seroconversion rates ranged from 4.4% to a peak of 37.21% followed by a reduction in seroconversion to 21.1% in September, indicating that 25% of the population lost their circulating anti-SARS-CoV-2 antibodies 3 months after infection. Analyses after 5 months of infection showed that only 17.2% of people still had anti-RBD-Spike antibodies, however, most volunteers had some degree of cellular immune response. The strategy of letting people become naturally infected with SARS-CoV-2 to achieve herd immunity is flawed, and the first contact with the virus may not generate enough immunogenic stimulus to prevent a possible second infection.

Reputation system for increased engagement in public transport oriented-applications

Increasing user engagement is one of the biggest challenges when a new application is developed. An engaged user is one who finds a product valuable;highly engaged users generate profit. This study focuses on increasing user engagement in a transport application, via a user reputation score feature. The score is to reward application users and activity organisers, as well as to motivate beginners by offering a high reputation score in the first days of use. The algorithms are based on exponential and logarithmic functions, and were first tested on synthetic data. Real-world tests have shown that the algorithms behave as expected, but the COVID-19 pandemic created a disturbance which prevented any user from achieving the maximum score and many users from registering altogether. Data show positive results, although the real number of users is not sufficient to certify a correct behaviour. Further tests will be carried out when transport activities return to normal. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Latin American ophthalmology practitioner's perception on current COVID-19 pandemic

PURPOSE: To assess the perception of Latin American ophthalmology practitioners regarding coronavirus disease 2019 (COVID-19) exposure risk, knowledge about personal protection measures, and prioritization of patients. METHODS: Self-administered voluntary anonymous survey (Google Drive forms) was distributed via text message to ophthalmology practitioners from May 01 to May 05, 2020. RESULTS: Three hundred seventy-one practitioners (45% response rate) comprising 118 (27.6%) residents, 111 (40.5%) ophthalmologists, and 142 (32.8%) sub-specialists completed the survey. Among them, 106 (32.6%) thought that they were at a high risk of acquiring COVID-19 during the course of work. Furthermore, 273 (69.1%) believed that the current guidelines were insufficient to identify COVID-19 patients. The survey also revealed that 265 (59.5%) were not trained to use personal protective equipment (PPE), and even with its correct use, 341 (91.5%) still felt that they were at risk of acquiring COVID-19. Moreover, 80% of the respondents were of the view that staff members were not knowledgeable about national protocols for attending COVID-19 patients. However, only 9 (2%) considered changing their profession to ameliorate COVID-19 contagion risk. CONCLUSION: This survey has revealed the issues faced by ophthalmology practitioners in Latin America during their routine practice. These concerns and anxiety about COVID- 19 pandemic seem to be the same worldwide. It is important to reinforce the confidence of ophthalmology practitioners on current guidelines for attending COVID-19 patients. It is also necessary to conduct training programs on PPE usage and ensure that PPE items are available at all times to enhance the quality of care and minimize the spread of the disease.