Novus Projects: Innovative Ideas to Build New Opportunities upon Technology-Based Avenues in Higher Education

This study describes a funding initiative that promotes educational innovation in a higher education institution in Mexico. This initiative, known as Novus, and carried out at Tecnologico de Monterrey, encourages professors to present educational innovation proposals by funding and monitoring research projects that promote student learning and competencies. These projects are based on digital technologies and pedagogies developed on the 26 campuses distributed throughout the country. This article presents a case study in which the historical data of Novus projects from 2012 to 2021 are reviewed. The results show that using digital technologies in these projects has favored more than 65,000 students on more than 1700 courses and the 1000 professors who teach these formative experiences. In addition, there are similar initiatives, especially in Latin America;however, they are still too few to contribute to improving student learning in an unprecedented time. Due to the COVID-19 pandemic, the digital transformation of educational institutions has been accelerated, with many challenges and obstacles. Therefore, showing the result of initiatives that favor the professionalization of teachers through technological projects based on evidence will illustrate the possibilities for higher education to develop these experiences. This study aims to communicate the main ideas and findings that originated in the projects created with this initiative and to show how these experiences have impacted the teaching-learning processes of university students through the innovation proposed by teachers. The dissemination of these results can generate interest so that other institutions understand the benefits of this initiative and can continue to generate new opportunities for these contexts.

An Upgrade on the Surveillance System of SARS-CoV-2: Deployment of New Methods for Genetic Inspection.

SARS-CoV-2 variants surveillance is a worldwide task that has been approached with techniques such as Next Generation Sequencing (NGS); however, this technology is not widely available in developing countries because of the lack of equipment and limited funding in science. An option is to deploy a RT-qPCR screening test which aids in the analysis of a higher number of samples, in a shorter time and at a lower cost. In this study, variants present in samples positive for SARS-CoV-2 were identified with a RT-qPCR mutation screening kit and were later confirmed by NGS. A sample with an abnormal result was found with the screening test, suggesting the simultaneous presence of two viral populations with different mutations. The DRAGEN Lineage analysis identified the Delta variant, but there was no information about the other three mutations previously detected. When the sequenced data was deeply analyzed, there were reads with differential mutation patterns, that could be identified and classified in terms of relative abundance, whereas only the dominant population was reported by DRAGEN software. Since most of the software developed to analyze SARS-CoV-2 sequences was aimed at obtaining the consensus sequence quickly, the information about viral populations within a sample is scarce. Here, we present a faster and deeper SARS-CoV-2 surveillance method, from RT-qPCR screening to NGS analysis.

Diagnostic groups and short-term outcomes in suspected COVID-19 cases treated in an emergency department. / Categorías diagnósticas y resultados a corto plazo en los pacientes con sospecha de COVID-19 atendidos en un servicio de urgencias.

OBJECTIVES: The primary objective was to describe the clinical characteristics and 30-day mortality rates in emergency department patients with coronavirus disease 2019 (COVID-19) in different diagnostic groupings. MATERIAL AND METHODS: Secondary analysis of the COVID-19 registry compiled by the emergency department of Hospital Clínico San Carlos in Madrid, Spain. We selected suspected COVID-19 cases treated in the emergency department between February 28 and March 31, 2020. The cases were grouped as follows: 1) suspected, no polymerase chain reaction (PCR) test (S/no-PCR); 2) suspected, negative PCR (S/PCR-); 3) suspected, positive PCR (S/PCR+); 4) highly suspected, no PCR, or negative PCR (HS/no or PCR-); and 5) highly suspected, positive PCR (HS/PCR+). We collected clinical, radiologic, and microbiologic data related to the emergency visit. The main outcome was 30-day all-cause mortality. Secondary outcomes were hospitalization and clinical severity of the episode. RESULTS: A total of 1993 cases (90.9%) were included as follows: S/no-PCR, 17.2%; S/PCR-, 11.4%; S/PCR+, 22.1%; HS/no PCR or PCR-, 11.7%; and HS/PCR+, 37.6%. Short-term outcomes differed significantly in the different groups according to demographic characteristics; comorbidity and clinical, radiographic, analytical, and therapeutic variables. Thirty-day mortality was 11.5% (56.5% in hospitalized cases and 19.6% in cases classified as severe). The 2 HS categories and the S/PCR+ category had a greater adjusted risk for 30-day mortality and for having a clinically severe episode during hospitalization in comparison with S/PCR- cases. Only the 2 HS categories showed greater risk for hospitalization than the S/PCR- cases. CONCLUSION: COVID-19 diagnostic groups differ according to clinical and laboratory characteristics, and the differences are associated with the 30-day prognosis.

OBJETIVO: El objetivo principal fue describir el perfil clínico y la mortalidad a los 30 días de diferentes categorías diagnósticas en los casos de COVID-19 atendidos en un servicio de urgencias (SU). METODO: Análisis secundario del registro COVID-19_URG-HCSC. Se seleccionaron los casos sospechosos de COVID-19 atendidos en un SU de Madrid desde el 28 de febrero hasta el 31 de marzo de 2020. La muestra se dividió: 1) sospecha con PCR no realizada (S/PCR NR); 2) sospecha con PCR negativa (S/PCR­); 3) sospecha con PCR positiva (S/ PCR+); 4) alta sospecha con PCR negativa o no realizada (AS/PCR­ o NR); y 5) alta sospecha con PCR positiva (AS/ PCR+). Se recogieron variables clínicas, radiológicas y microbiológicas del episodio de urgencias. La variable de resultado principal fue la mortalidad por cualquier causa a los 30 días. Las variables secundarias fueron el ingreso y la gravedad del episodio. RESULTADOS: Se incluyeron 1.993 pacientes; 17,2% S/PCR NR, 11,4% S/PCR­, 22,1% S/PCR+, 11,7% AS/PCR­ o NR y 37,6% AS/PCR+. Se hallaron diferencias estadísticamente significativas respecto a las variables demográficas, comorbilidad, clínicas, radiográficas, analíticas y terapéuticas y de resultados a corto plazo en función las categorías diagnósticas. La mortalidad global a los 30 días fue de un 11,5%, 56,5% casos fueron hospitalizados y 19,6% casos sufrieron un episodio grave. Las categorías de AS y de S/PCR+ tuvieron un incremento del riesgo ajustado de mortalidad a los 30 días y de sufrir un episodio grave durante el ingreso hospitalario respecto a S/PCR­. En relación al ingreso, solo las categorías de AS tuvieron un incremento del riesgo ajustado de hospitalización respecto a la categoría de S/PCR­. CONCLUSIONES: Existen diferentes categorías diagnósticas de la enfermedad COVID-19 en función del perfil clínico y microbiológico que tienen correlato con el pronóstico a 30 días.

Categorías diagnósticas y resultados a corto plazo en los pacientes con sospecha de COVID-19 atendidos en un servicio de urgencias

OBJETIVO: EL objetivo principal fue describir el perfil clínico y la mortalidad a los 30 días de diferentes categorías diagnósticas en los casos de COVID-19 atendidos en un servicio de urgencias (SU). MÉTODO: Análisis secundario del registro COVID-19_URG-HCSC. Se seleccionaron los casos sospechosos de COVID-19 atendidos en un SU de Madrid desde el 28 de febrero hasta el 31 de marzo de 2020. La muestra se dividió: 1) sospecha con PCR no realizada (S/PCR NR);2) sospecha con PCR negativa (S/PCR-);3) sospecha con PCR positiva (S/PCR+);4) alta sospecha con PCR negativa o no realizada (AS/PCR- o NR);y 5) alta sospecha con PCR positiva (AS/PCR+). Se recogieron variables clínicas, radiológicas y microbiológicas del episodio de urgencias. La variable de resultado principal fue la mortalidad por cualquier causa a los 30 días. Las variables secundarias fueron el ingreso y la gravedad del episodio. RESULTADOS: Se incluyeron 1.993 pacientes;17,2% S/PCR NR, 11,4% S/PCR-, 22,1% S/PCR+, 11,7% AS/PCR- o NR y 37,6% AS/PCR+. Se hallaron diferencias estadísticamente significativas respecto a las variables demográficas, comorbilidad, clínicas, radiográficas, analíticas y terapéuticas y de resultados a corto plazo en función las categorías diagnósticas. La mortalidad global a los 30 días fue de un 11,5%, 56,5% casos fueron hospitalizados y 19,6% casos sufrieron un episodio grave. Las categorías de AS y de S/PCR+ tuvieron un incremento del riesgo ajustado de mortalidad a los 30 días y de sufrir un episodio grave durante el ingreso hospitalario respecto a S/PCR-. En relación al ingreso, solo las categorías de AS tuvieron un incremento del riesgo ajustado de hospitalización respecto a la categoría de S/PCR-. CONCLUSIONES: Existen diferentes categorías diagnósticas de la enfermedad COVID-19 en función del perfil clínico y microbiológico que tienen correlato con el pronóstico a 30 días OBJECTIVE: The primary objective was to describe the clinical characteristics and 30-day mortality rates in emergency department patients with coronavirus disease 2019 (COVID-19) in different diagnostic groupings. METHODS: Secondary analysis of the COVID-19 registry compiled by the emergency department of Hospital Clínico San Carlos in Madrid, Spain. We selected suspected COVID-19 cases treated in the emergency department between February 28 and March 31, 2020. The cases were grouped as follows: 1) suspected, no polymerase chain reaction (PCR) test (S/no-PCR);2) suspected, negative PCR (S/PCR-);3) suspected, positive PCR (S/PCR+);4) highly suspected, no PCR, or negative PCR (HS/no or PCR-);and 5) highly suspected, positive PCR (HS/PCR+). We collected clinical, radiologic, and microbiologic data related to the emergency visit. The main outcome was 30-day all-cause mortality. Secondary outcomes were hospitalization and clinical severity of the episode. RESULTS: A total of 1993 cases (90.9%) were included as follows: S/no-PCR, 17.2%;S/PCR-, 11.4%;S/PCR+, 22.1%;HS/no PCR or PCR-, 11.7%;and HS/PCR+, 37.6%. Short-term outcomes differed significantly in the different groups according to demographic characteristics;comorbidity and clinical, radiographic, analytical, and therapeutic variables. Thirty-day mortality was 11.5% (56.5% in hospitalized cases and 19.6% in cases classified as severe). The 2 HS categories and the S/PCR+ category had a greater adjusted risk for 30-day mortality and for having a clinically severe episode during hospitalization in comparison with S/PCR- cases. Only the 2 HS categories showed greater risk for hospitalization than the S/PCR- cases

Clinical presentation and outcome across age categories among patients with COVID-19 admitted to a Spanish Emergency Department.

PURPOSE: To determine the differences by age-dependent categories in the clinical profile, presentation, management, and short-term outcomes of patients with laboratory-confirmed COVID-19 admitted to a Spanish Emergency Department (ED). METHODS: Secondary analysis of COVID-19_URG-HCSC registry. We included all consecutive patients with laboratory-confirmed COVID-19 admitted to the ED of the University Hospital Clinico San Carlos (Madrid, Spain). The population was divided into six age groups. Demographic, baseline and acute clinical data, and in-hospital and 30-day outcomes were collected. RESULTS: 1379 confirmed COVID-19 cases (mean age 62 (SD 18) years old; 53.5% male) were included (18.1% < 45 years; 17.8% 45-54 years; 17.9% 55-64 years; 17.2% 65-74 years; 17.0% 75-84 years; and 11.9% ≥ 85 years). A statistically significant association was found between demographic, comorbidity, clinical, radiographic, analytical, and therapeutic variables and short-term results according to age-dependent categories. There were less COVID-specific symptoms and more atypical symptoms among older people. Age was a prognostic factor for hospital admission (aOR = 1.04; 95% CI 1.02-1.05) and in-hospital (aOR = 1.08; 95% CI 1.05-1.10) and 30-day mortality (aOR = 1.07; 95% CI 1.04-1.09), and was associated with not being admitted to intensive care (aOR = 0.95; 95% CI 0.93-0.98). CONCLUSIONS: Older age is associated with less COVID-specific symptoms and more atypical symptoms, and poor short-term outcomes. Age has independent prognostic value and may help in shared decision-making in patients with confirmed COVID-19 infection.