Aeroallergen immunotherapy associated with reduced risk of severe COVID-19 in 1095 allergic patients.

Introduction: Allergen immunotherapy (AIT) brings along changes in the immune system, restoring dendritic cell function, reducing T2 inflammation and augmenting the regulatory cell activation. Coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, interferes with the immune system causing immune suppression during the first phase and over-activation in more advanced disease. We decided to explore the interaction of both in a real-world observational trial. Methods: We registered COVID-19 outcomes in patients with allergic disorders in Latin America, treated with and without AIT. The registry was conducted during the first 1.3 years of the pandemic, with most of the data collected before COVID-19 vaccination was concluded in most countries. Data collection was anonymous via a web-based instrument. Ten countries participated. Results: 630/1095 (57.6%) of the included patients received AIT. Compared to patients without AIT, those treated with AIT had a reduced risk ratio (RR) for COVID-19 lower respiratory symptoms (RR 0.78, 95% CI: 0.6703-0.9024; p = 0.001662) and need for oxygen therapy (RR 0.65, 95% CI: 0.4217-0.9992; p = 0.048). In adherent patients on maintenance sublingual immunotherapy/subcutaneous immunotherapy (SLIT/SCIT) the RR reduction was larger [RR = 0.6136 (95% CI 0.4623-0.8143; p < 0.001) and RR: 0.3495 (95% CI 0.1822-0.6701; p < 0.005), respectively]. SLIT was slightly more effective (NS). We excluded age, comorbidities, level of health care attendance, and type of allergic disorder as confounders, although asthma was related to a higher frequency of severe disease. When analyzing patients with allergic asthma (n = 503) the RR reduction favoring AIT was more pronounced with 30% for lower respiratory symptoms or worse (RR 0.6914, 95% CI 0.5264 to 0.9081, p = 0.0087) and 51% for need of oxygen therapy or worse (RR 0.4868, 95% CI 0.2829-0.8376, p = 0.0082). Among severe allergic patients treated with biologics (n = 24) only 2/24 needed oxygen therapy. There were no critical cases among them. Conclusion: In our registry AIT was associated with reduced COVID-19 severity.

Predicción de la resiliencia docente mediante redes neuronales artificiales: influencia del burnout y del estrés por COVID-19

Antecedentes: La resiliencia en el profesorado permite afrontar situaciones difíciles y reponerse a la adversidad existiendo diferencias de género al respecto. Asimismo, la inteligencia artificial y las técnicas asociadas a ella han resultado ser de gran utilidad para predecir variables educativas y estudiar la interconexión entre ellas tras la COVID19. Dicho esto, el objetivo general de esta investigación fue predecir los niveles de resiliencia en las profesoras y profesores de Secundaria a través del diseño de una red neuronal artificial (RNA). Método: Se administró la Escala Breve de Afrontamiento Resiliente, el Inventario de Burnout de Maslach y el Cuestionario de Estrés frente a la COVID19 a 401 docentes de secundaria (70.6% mujeres) de centros educativos del sureste español, con una edad media de 44.36 años (DT= 9.38). Resultados: Se hallaron diferencias en la configuración de los modelos predictivos de la resiliencia entre profesoras y profesores contribuyendo las variables independientes en diferente grado en función del género. Conclusiones: Se pone de manifiesto la utilidad de las RNA en el ámbito educativo y la necesidad de diseñar programas más ajustados.

COVID-19 as a risk factor for long-term mortality in patients managed by the emergency medical system: A prospective, multicenter, ambulance-based cohort study.

Introduction: COVID-19 has initially been studied in terms of an acute-phase disease, although recently more attention has been given to the long-term consequences. In this study, we examined COVID-19 as an independent risk factor for long-term mortality in patients with acute illness treated by EMS (emergency medical services) who have previously had the disease against those who have not had the disease. Methods: A prospective, multicenter, ambulance-based, ongoing study was performed with adult patients with acute disease managed by EMS and transferred with high priority to the emergency department (ED) as study subjects. The study involved six advanced life support units, 38 basic life support units, and five emergency departments from Spain. Sociodemographic inputs, baseline vital signs, pre-hospital blood tests, and comorbidities, including COVID-19, were collected. The main outcome was long-term mortality, which was classified into 1-year all-cause mortality and 1-year in- and out-of-hospital mortality. To compare both the patients with COVID-19 vs. patients without COVID-19 and to compare survival vs non-survival, two main statistical analyses were performed, namely, a longitudinal analysis (Cox regression) and a logistic regression analysis. Results: Between 12 March 2020 and 30 September 2021, a total of 3,107 patients were included in the study, with 2,594 patients without COVID-19 and 513 patients previously suffering from COVID-19. The mortality rate was higher in patients with COVID-19 than in patients without COVID-19 (31.8 vs. 17.9%). A logistic regression showed that patients previously diagnosed with COVID-19 presented higher rates of nursing home residency, a higher number of breaths per minute, and suffering from connective disease, dementia, and congestive heart failure. The longitudinal analysis showed that COVID-19 was a risk factor for mortality [hazard ratio 1.33 (1.10-1.61); p < 0.001]. Conclusion: The COVID-19 group presented an almost double mortality rate compared with the non-COVID-19 group. The final model adjusted for confusion factors suggested that COVID-19 was a risk factor for long-term mortality.

Quality of life and mental health in multiple sclerosis patients during the COVID-19 Pandemic.

BACKGROUND: The COVID-19 pandemic had a profound impact on mental health symptoms and quality of life (QoL) in the general population due to necessary public health restrictions such as social distancing. The psychosocial effect of the pandemic on vulnerable groups such as people living with Multiple Sclerosis (PwMS) has been scarcely explored in countries with additional socioeconomical burdens such as access to healthcare disparities METHODS: A questionnaire exploring sociodemographic variables, quality of life, mental health determinants and sleep quality was applied to 92 PwMS to explore changes prior and during the pandemic regarding these domains RESULTS: 58.8% of the subjects were female, median age was 37.1 (± 8.5) years and relapsing-remitting MS was the predominant clinical subtype (83.5%). Unemployment rate significantly increased during the pandemic (12.3% vs 27.8%; p= 0.001). Only 46.4% received medical follow-up care during the pandemic. QoL was affected predominantly due to limitations in instrumented activities of daily life (IADL). Neuropsychiatric symptoms, requiring healthcare during the pandemic, anxiety prior to the pandemic and restricted IADL were predictors of MS-related physical impact worsening, while decreased physical/emotional wellbeing selfcare, neuropsychiatric symptoms, bad sleep quality, anxiety prior to the pandemic and restricted non-instrumental ADL predicted aggravation of MS-related psychological impact measured by the MSIS-29. Curiously, specific items regarding anxiety were more prevalent prior to the pandemic (anxious mood; p=0.02, helplessness; p=0.01), sleep problems; p=0.001 and cardiovascular symptoms; p=0.001, nevertheless, stability was observed for most items. Importantly, 77.3% of PwMS reported at least one neuropsychiatric symptom CONCLUSION: The deleterious effects of the COVID-19 pandemic on psychosocial wellbeing in PwMS, QoL and mental health outcomes are frequently overseen in vulnerable populations such as PwMS. Albeit the limitations of this study, our results may help implement policies that prevent negative outcomes on psychosocial wellbeing due to public health measures (e.g., social distancing) in MS and other neurological diseases that inexorably need constant follow-up.

COVID-19 as a risk factor for long-term mortality in patients managed by the emergency medical system: A prospective, multicenter, ambulance-based cohort study

Introduction COVID-19 has initially been studied in terms of an acute-phase disease, although recently more attention has been given to the long-term consequences. In this study, we examined COVID-19 as an independent risk factor for long-term mortality in patients with acute illness treated by EMS (emergency medical services) who have previously had the disease against those who have not had the disease. Methods A prospective, multicenter, ambulance-based, ongoing study was performed with adult patients with acute disease managed by EMS and transferred with high priority to the emergency department (ED) as study subjects. The study involved six advanced life support units, 38 basic life support units, and five emergency departments from Spain. Sociodemographic inputs, baseline vital signs, pre-hospital blood tests, and comorbidities, including COVID-19, were collected. The main outcome was long-term mortality, which was classified into 1-year all-cause mortality and 1-year in- and out-of-hospital mortality. To compare both the patients with COVID-19 vs. patients without COVID-19 and to compare survival vs non-survival, two main statistical analyses were performed, namely, a longitudinal analysis (Cox regression) and a logistic regression analysis. Results Between 12 March 2020 and 30 September 2021, a total of 3,107 patients were included in the study, with 2,594 patients without COVID-19 and 513 patients previously suffering from COVID-19. The mortality rate was higher in patients with COVID-19 than in patients without COVID-19 (31.8 vs. 17.9%). A logistic regression showed that patients previously diagnosed with COVID-19 presented higher rates of nursing home residency, a higher number of breaths per minute, and suffering from connective disease, dementia, and congestive heart failure. The longitudinal analysis showed that COVID-19 was a risk factor for mortality [hazard ratio 1.33 (1.10–1.61);p < 0.001]. Conclusion The COVID-19 group presented an almost double mortality rate compared with the non-COVID-19 group. The final model adjusted for confusion factors suggested that COVID-19 was a risk factor for long-term mortality.

Post-mortem COVID-19 Positive Testing: Institute of Forensic Sciences Experience.

OBJECTIVE: The main objective was to present the experience of the Institute of Forensic Sciences of Puerto Rico in facing the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), also known as COVID-19. It has been found that some COVID-19 positive cases may continue to show post-mortem positive results for up to 49 days. METHODS: The in vitro technique of ID NOW COVID-19 was used in the analysis to evaluate the presence of SARS-Cov-2 in postmortem forensic cases. This isothermal method allows to amplify and identify the presence of the RNA-dependent RNA polymerase viral segment. Information on demographics, comorbidities, and the manner and cause of death was collected. RESULTS: A total of 612 subjects were sampled, of which 41 (6.7%) tested positive for COVID-19;14 (34.1%) of those subjects remained positive for more than 7 days Postmortem. Of the 41 positive cases, only 3 (7.3%) had been diagnosed with COVID-19 before their demise. The most common comorbidities were hypertension (36%), obesity (29%), and mental health conditions (50%). CONCLUSION: Results from postmortem COVID-19 testing revealed that some cadavers remain COVID-19 positive for a longer period than expected. Despite this, based on the information collected from the cases that were tested more than once, there is no direct correlation between the cause of death and persistent COVID-19 positivity. We recommend that additional investigations be carried out, in which investigations viral load and the maximum time of the infectious phase are specifically evaluated.

Gender Differences in Anxiety, Attitudes, and Fear among Nursing Undergraduates Coping with CPR Training with PPE Kit for COVID.

BACKGROUND: The aim of this study was to examine the attitudes, fears, and anxiety level of nursing students faced with a critical clinical simulation (cardiopulmonary reanimation) with and without personal protective equipment (PPE). METHODS: A pilot before-after study as conducted from 21 to 25 June 2021, with 24 students registered in the nursing degree of the Faculty of Health Sciences of the Castilla-La Mancha University (UCLM) in the city of Talavera de la Reina (Toledo, Spain). From 520 possible participants, only 24 were selected according to the exclusion and inclusion criteria. The STAI Manual for the State-Trait Anxiety Inventory, a self-evaluation questionnaire, was used to study trait STAI (basal anxiety), trait STAI before CPR, state STAI after CPR, total STAI before CPR, and total STAI after CPR as the main variables. A t-test was used to study the STAI variables according to sex and the physiological values related to the anxiety level of participants. An ANOVA statistical test was used to perform a data analysis of the STAI variables. RESULTS: A total of 54.2% of participants (IC 95% 35.1-72.1) suffered from global anxiety before the cardiopulmonary reanimation maneuvers (CPR). The results of the STAI before CPR maneuvers showed significant differences according to gender in state anxiety (p = 0.04), with a higher level of anxiety in women (22.38 ± 7.69 vs. 15.82 ± 7.18). CONCLUSIONS: This study demonstrates different levels of anxiety in terms of gender suffered by nursing students in high-pressure environments, such as a CPR situation.

Online Learning in Times of COVID-19 With Engineering Students From Marginalized Rural Areas in Mexico

COVID-19 has affected education worldwide, in Mexico. In this study, the impact of the extraordinary online modality because of the pandemic on the accreditation of courses for engineering students was evaluated, of the 64 students officially registered in three courses of microbiology, only 90% registered on the Moodle platform to take the online course, 71% of the dynamics were delivered, 67% of the final project and 80% of the delivery of the team’s activities were not reached, there was an approval of 54%. Some problems were that videoconferences were not attended and assignments were not turned in.

Basic COVID-19 knowledge according to education level and country of residence: Analysis of twelve countries in Latin America

Introduction Knowing a disease is crucial for being able to fight it, especially in a region in which COVID-19 caused so many deaths, such as Latin America. Objective To determine the association between basic knowledge of COVID-19 and education level according to country of residence in Latin America. Methodology This is an analytical cross-sectional study. Basic level of knowledge was measured through nine close-ended questions (scale validated in Peru). The score obtained was analyzed through performing a crosstab vs. gender, age, education level, and country of residence. Results Of a total of 9,222 respondents, almost all of them knew the common symptoms (99%), modes of transmission (93%), and knew how to recognize which was not a specific symptom (93%). Through the multivariate model, we found that there was no association with gender (p = 0.716) or age (p = 0.059), in comparison with those who had primary or a lower education level. All the other higher education levels had statistically significant scores (all p-values p < 0.001). When comparing knowledge according to countries, and using Peru as reference for comparison, Chile, Paraguay, Mexico, Bolivia, Panama, Ecuador, Costa Rica, and Colombia had a better level of knowledge (all p-values < 0.001);however, only El Salvador had a lower level (p < 0.001). Discussion There was lack of knowledge of some topics, difference according to academic degree and country. As Peru was one of countries that obtained the lowest level of knowledge, it could have influenced the fact that it was the most affected country in the world.

Prehospital Respiratory Early Warning Score for airway management in-ambulance: A score comparison.

BACKGROUND: Prehospital Respiratory Early Warning Scores to estimate the requirement for advanced respiratory support is needed. To develop a prehospital Respiratory Early Warning Score to estimate the requirement for advanced respiratory support. METHODS: Multicentre, prospective, emergency medical services (EMS)-delivered, longitudinal cohort derivationvalidation study carried out in 59 ambulances and five hospitals across five Spanish provinces. Adults with acute diseases evaluated, supported and discharged to the Emergency Department with high priority were eligible. The primary outcome was the need for invasive or non-invasive respiratory support (NIRS or IRS) in the prehospital scope at the first contact with the patient. The measures included the following: epidemiological endpoints, prehospital vital signs (respiratory rate, pulse oximetry saturation, fraction of inspired oxygen, systolic and diastolic mean blood pressure, heart rate, tympanic temperature and consciousness level by the GCS). RESULTS: Between 26 Oct 2018 and 26 Oct 2021, we enrolled 5793 cases. For NIRS prediction, the final model of the logistic regression included respiratory rate and pulse oximetry saturation/fraction of inspired oxygen ratio. For the IRS case, the motor response from the Glasgow Coma Scale was also included. The REWS showed an AUC of 0.938 (95% CI: 0.918-0.958), a calibration-in-large of 0.026 and a higher net benefit as compared with the other scores. CONCLUSIONS: Our results showed that REWS is a remarkably aid for the decision-making process in the management of advanced respiratory support in prehospital care. Including this score in the prehospital scenario could improve patients' care and optimise the resources' management.

Derivación y validación de nuevos fenotipos prehospitalarios en pacientes adultos con enfermedad por COVID-19

Objective. To characterize phenotypes of prehospital patients with COVID-19 to facilitate early identification of at-risk groups. Methods. Multicenter observational noninterventional study of a retrospective cohort of 3789 patients, analyzing 52 prehospital variables. The main outcomes were 4 clusters of prehospital variables describing the phenotypes. Secondary outcomes were hospitalization, mechanical ventilation, admission to an intensive care unit, and cumulative mortality inside or outside the hospital on days 1, 2, 3, 7, 14, 21, and 28 after hospitalization and after start of prehospital care. Results. We used a principal components multiple correspondence analysis (factor analysis) followed by decomposition into 4 clusters as follows: cluster 1, 1090 patients (28.7%);cluster 2, 1420 (37.4%);cluster 3, 250 (6.6%), and cluster 4, 1029 (27.1%). Cluster 4 was comprised of the oldest patients and had the highest frequencies of residence in group facilities and low arterial oxygen saturation. This group also had the highest mortality (44.8% at 28 days). Cluster 1 was comprised of the youngest patients and had the highest frequencies of smoking, fever, and requirement for mechanical ventilation. This group had the most favorable prognosis and the lowest mortality. Conclusions. Patients with COVID-19 evaluated by emergency medical responders and transferred to hospital emergency departments can be classified into 4 phenotypes with different clinical, therapeutic, and prognostic characteristics. The phenotypes can help health care professionals to quickly assess a patient's future risk, thus informing clinical decisions. Objetivos. Desarrollar un fenotipado prehospitalario de pacientes con COVID-19 que permita una identificación temprana de los grupos de riesgo. Método. Estudio observacional de cohorte retrospectivo multicéntrico, sin intervención con 3.789 pacientes y 52 variables prehospitalarias. Las variables de resultado principal fueron las cuatro agrupaciones prehospitalarios obtenidos, #1, #2, #3 y #4. Los resultados secundarios fueron: ingreso hospitalario, ventilación mecánica, ingreso en unidad de cuidados intensivos y mortalidad acumulada a los 1, 2, 3, 7, 14, 21 y 28 días desde el ingreso hospitalario (hospitalaria y extrahospitalaria). Resultados. Por medio de una descomposición en componentes principales/correspondencia múltiple de datos mixtos (continuos y categóricos), seguido de una descomposición en agrupaciones, se obtuvo cuatro agrupaciones/fenotipos #1, #2, #3 y #4 de 1.090 (28,7%), 1.420 (37,4%), 250 (6,6%) y 1.029 (27,1%) pacientes, respectivamente. El grupo #4, compuesto por los pacientes de mayor edad, baja saturación de oxígeno e institucionalización es el que presenta la mayor mortalidad (44,8% de mortalidad a 28 días). El grupo #1, compuesto de pacientes de menor edad, con mayor porcentaje de tabaquismo, fiebre y necesidades de ventilación mecánica, es el de pronóstico más favorable con la menor tasa de mortalidad. Conclusiones. Los pacientes con COVID-19 valorados por los servicios médicos de emergencias y transferidos al servicio de urgencias hospitalario se pueden clasificar en 4 fenotipos con diferentes consideraciones clínicas, terapéuticas y de pronóstico, y permite a los profesionales sanitarios discriminar rápidamente el nivel de riesgo futuro del paciente y ayuda por lo tanto en el proceso de toma de decisiones.

Coping with Everyday Stress, Assessment and Relationships, Psychological Adjustment, Well-Being and Socioemotional Adjustment.

The use of effective or functional coping strategies guarantees quality of life and psychological well-being in different stages of development [...].

Analytical Sensitivity of Eight Different SARS-CoV-2 Antigen-Detecting Rapid Tests for Omicron-BA.1 Variant.

The emergence of each novel SARS-CoV-2 variant of concern (VOC) requires investigation of its potential impact on the performance of diagnostic tests in use, including antigen-detecting rapid diagnostic tests (Ag-RDTs). Although anecdotal reports have been circulating that the newly emerged Omicron-BA.1 variant is in principle detectable by Ag-RDTs, few data on sensitivity are available. We have performed (i) analytical sensitivity testing with cultured virus in eight Ag-RDTs and (ii) retrospective testing in duplicates with clinical samples from vaccinated individuals with Omicron-BA.1 (n = 59) or Delta (n = 54) breakthrough infection on seven Ag-RDTs. Overall, in our analytical study we have found heterogenicity between Ag-RDTs for detecting Omicron-BA.1. When using cultured virus, we observed a trend toward lower endpoint sensitivity for Omicron-BA.1 detection than for earlier circulating SARS-CoV-2 and the other VOCs. In our retrospective study, the detection of Delta and Omicron-BA.1 was assessed in a comparable set of stored clinical samples using seven Ag-RDTs. Four hundred ninety-seven of all 826 tests (60.17%) performed on Omicron-BA.1 samples were positive, compared to 489/756 (64.68%) for Delta samples. In the analytical study, the sensitivity for both Omicron-BA.1 and Delta between the Ag-RDTs was variable. All seven Ag-RDTs showed comparable sensitivities to detect Omicron-BA.1 and Delta in the retrospective study. IMPORTANCE Sensitivity for detecting Omicron-BA.1 shows high heterogenicity between Ag-RDTs, necessitating a careful consideration when using these tests to guide infection prevention measures. Analytical and retrospective testing is a proxy and timely solution to generate rapid performance data, but it is not a replacement for clinical evaluations, which are urgently needed. Biological and technical reasons for detection failure by some Ag-RDTs need to be further investigated.

Multidrug-Resistant Klebsiella pneumoniae in a Patient with SARS-Cov-2 Pneumonia in an Intensive Care Unit in Guayaquil, Ecuador: A Case Report.

BACKGROUND Multi-resistant microorganisms are a public health problem. Their incidence has risen due to COVID-19, indiscriminate antibiotics use, corticosteroid treatments, and higher admissions to intensive care units (ICUs) of patients requiring invasive mechanical ventilation. These are risk factors for bacterial over-infection. The present case study that is relevant because of the multiple isolated strains with a resistance pattern: Klebsiella pneumoniae carbapenemases (KPC), extended-spectrum beta lactamases (ESBL) and New Delhi metallo-ß-lactamase (NDM) in a patient without comorbidities. CASE REPORT A 53-year-old Ecuadorian man with no past medical history arrived at the Emergency Department (ED) with dyspnea, nasopharyngeal swab with a positive reverse transcription polymerase chain reaction (RT-PCR) test for SARS-CoV2, and a chest computed tomography (CT) scan showing bilateral ground-glass pulmonary infiltrates with 40% involvement. On day 10 in the ICU, the presence of Klebsiella pneumoniae KPC strain was reported in an axillary swab culture. Consequently, the antibiotic was rotated to vancomycin 1 g intravenously (i.v.) every 12 h and meropenem 1 g i.v. every 8 h. On day 15 in the ICU, a tracheal secretion culture was reported with the presence of Klebsiella pneumoniae ESBL and a blood culture with Klebsiella pneumoniae NDM. CONCLUSIONS The COVID-19 pandemic is a perfect scenario for superinfection with multi-resistant pathogens such as carbapenem-resistant Klebsiella pneumoniae (CRKP), due to the increase in patients admitted to ICUs requiring invasive mechanical ventilation, the use of corticosteroids, and empirical broad-spectrum antibiotic management based on guidelines. The emergence of combined multidrug-resistant strains is a challenge for laboratory detection and the selection of antimicrobial treatment.

Plasma D-dimer value corrected by inflammatory markers in patients with SARS-CoV-2 infection: Its prognostic value in the diagnosis of venous thromboembolism.

Introduction: D-dimer levels are elevated in COVID 19 and they correlate to the levels of other inflammatory markers such us ferritin, fibrinogen and C-reactive protein. It may be possible to correct D-dimer value in function of inflammatory markers, thus identifying patients at higher risk of venous thromboembolism (VTE). Our objectives are estimating a corrected value of plasma D-dimer as a linear function of ferritin, C-reactive protein and fibrinogen and stablishing a cut-off point of high probability of VTE. Patients and methods: Age and sex matched case-control study of all patients diagnosed with COVID 19 and VTE between March and May 2020 in a tertiary hospital in Madrid (Spain). Using linear regression, the best predictive model will be estimated and residual D-dimer values will be obtained and analyzed using ROC curves to determine its discriminative performance. Results: Thirty-eight cases and seventy-six controls were included. There was 63.2% of men and mean age was 68.2. D-dimer was best predicted by a linear model including fibrinogen, ferritin and C-reactive protein. Using residual values, the optimal cutoff point was 2165 ng/mL, with a sensitivity of 57.9% and specificity of 98.7%. Conclusion: It is possible to estimate a D-dimer corrected value in function of ferritin, C-reactive protein and fibrinogen. Using the observed and estimated value we can obtain a residual value that performs well as a screening method to detect patients who would benefit for further VTE diagnostic testing.

Introducción: El dímero-D está elevado en la COVID-19 y se correlacionan con los niveles de otros marcadores inflamatorios como ferritina, fibrinógeno y proteína C reactiva. Cabe la posibilidad de corregir el dímero-D en función de dichos marcadores inflamatorios, identificando así los pacientes con mayor riesgo de enfermedad tromboembólica venosa (ETV). Nuestros objetivos son estimar un valor corregido de dímero-D como función lineal de ferritina, proteína C reactiva y fibrinógeno, y establecer un punto de corte de alta probabilidad de ETV. Pacientes y métodos: Estudio de casos y controles emparejados por sexo y edad de todos los pacientes diagnosticados con COVID-19 y ETV entre marzo y mayo de 2020 en un hospital terciario de Madrid, España. Mediante regresión lineal, se estima el mejor modelo predictivo y se obtiene el valor residual de dímero-D. Este se analizará con curvas ROC para determinar su capacidad discriminativa. Resultados: Se incluyeron 38 casos y 76 controles. Había un 63,2% de varones y la edad media fue de 68,2 años. El valor de dímero-D fue predicho por un modelo que incluyó fibrinógeno, ferritina y proteína C reactiva. Usando los valores residuales, el punto de corte óptimo estimado de 2.165 ng/ml, con una sensibilidad del 57,9% y una especificidad del 98,7%. Conclusiones: Es posible estimar un valor corregido de dímero-D en función de ferritina, fibrinógeno y proteína C reactiva. Usando el valor observado y estimado podemos obtener un valor residual que funciona bien como método de cribado para detectar pacientes que podrían beneficiarse de más estudios diagnósticos de la ETV.

Comorbidities and risk factors impact of COVID-19 in Mexico: a feature utility metrics approach

By applying Machine Learning, it is possible to determine the impact of the main comorbidities and risk factors associated with COVID-19 based on an analysis of official Mexican Secretary of Health data. This analysis was performed using Feature Utility Metrics: Mutual Information (MI), Permutation Importance (PI) and Partial Dependence Plot (PDP) with two different learning models (RandomForest and XGBoost), finding similarities between these metrics. According to these models, the main comorbidities and risk factors associated with COVID-19 are Age, Gender, Obesity, Diabetes and Hypertension. Regarding MI and PI (RandomForest), the main risk factor is Age, while for PI (XGBoost) is Obesity. Finally, the PDP graph for Age, shows that the associated probability of risk of COVID-19 infection increases considerably after 60-years-old. Therefore, it was confirmed that the main comorbidities and risk factors associated with COVID-19 in Mexico are coherent with the diseases and conditions most present in the population.

Emotional Strengths and Difficulties in Italian Adolescents: Analysis of Adaptation through the SDQ

An adolescent’s knowledge of him/herself (positive aspects and weaknesses) is shaped by interactions with external and internal factors, including the family context and the educational environment. The assessment of this knowledge serves to construct the concept of self-esteem. The main objective of the present study was to examine the prevalence of self-reported emotional and behavioral symptoms in a representative sample of Italian adolescents and their relationship with gender and age, using Goodman’s Strengths and Difficulties Questionnaire (SDQ). A total of 440 adolescents (49.8% female) aged 15–18 years from the southern Italy region participated. The results show the prevalence of emotional and behavioral symptoms in the analyzed sample. Gender differences were also found in the variables under study. In conclusion, the SDQ test is offered as an agile, simplified, and effective tool, to be proposed to all formative agents who are concerned with the interest and care not only of young people, but also of the future of socio-political realities.

Plasma D-dimer value corrected by inflammatory markers in patients with SARS-CoV-2 infection: Its prognostic value in the diagnosis of venous thromboembolism Valor del dímero-D corregido por marcadores inflamatorios en pacientes con infección por SARS-CoV-2 en el diagnóstico de enfermedad tromboembólica venosa

Introduction D-dimer levels are elevated in COVID 19 and they correlate to the levels of other inflammatory markers such us ferritin, fibrinogen and C-reactive protein. It may be possible to correct D-dimer value in function of inflammatory markers, thus identifying patients at higher risk of venous thromboembolism (VTE). Our objectives are estimating a corrected value of plasma D-dimer as a linear function of ferritin, C-reactive protein and fibrinogen and stablishing a cut-off point of high probability of VTE. Patients and methods Age and sex matched case-control study of all patients diagnosed with COVID 19 and VTE between March and May 2020 in a tertiary hospital in Madrid (Spain). Using linear regression, the best predictive model will be estimated and residual D-dimer values will be obtained and analyzed using ROC curves to determine its discriminative performance. Results Thirty-eight cases and seventy-six controls were included. There was 63.2% of men and mean age was 68.2. D-dimer was best predicted by a linear model including fibrinogen, ferritin and C-reactive protein. Using residual values, the optimal cutoff point was 2165 ng/mL, with a sensitivity of 57.9% and specificity of 98.7%. Conclusion It is possible to estimate a D-dimer corrected value in function of ferritin, C-reactive protein and fibrinogen. Using the observed and estimated value we can obtain a residual value that performs well as a screening method to detect patients who would benefit for further VTE diagnostic testing.

Factors Influencing the Acceptance of COVID-19 Vaccines in a Country with a High Vaccination Rate.

Control of the COVID-19 pandemic largely depends on the effectiveness of the vaccination process. An understanding of the factors that underlie the willingness to accept vaccination contributes pivotal information to controlling the pandemic. We analyzed the association between the willingness to accept the available COVID-19 vaccines and vaccine determinants amidst the Chilean vaccination process. Individual-level survey data was collected from 744 nationally representative respondents and multivariate regression models were used to estimate the association between outcome and explanatory variables. We found that trust in COVID-19 vaccines, scientists, and medical professionals significantly increased the willingness to: accept the vaccines and booster doses, as well as annual vaccinations and the vaccination of children. Our results are critical to understanding the acceptance of COVID-19 vaccines in the context of a country with one of the world's highest vaccination rates. We provide useful information for decision-making and policy design, in addition to establishing guidelines regarding how to effectively explain vaccination programs to citizens.

Comparison of Nine Early Warning Scores for Identification of Short-Term Mortality in Acute Neurological Disease in Emergency Department.

(1) Background: The aim was screening the performance of nine Early Warning Scores (EWS), to identify patients at high-risk of premature impairment and to detect intensive care unit (ICU) admissions, as well as to track the 2-, 7-, 14-, and 28-day mortality in a cohort of patients diagnosed with an acute neurological condition. (2) Methods: We conducted a prospective, longitudinal, observational study, calculating the EWS [Modified Early Warning Score (MEWS), National Early Warning Score (NEWS), VitalPAC Early Warning Score (ViEWS), Modified Rapid Emergency Medicine Score (MREMS), Early Warning Score (EWS), Hamilton Early Warning Score (HEWS), Standardised Early Warning Score (SEWS), WHO Prognostic Scored System (WPSS), and Rapid Acute Physiology Score (RAPS)] upon the arrival of patients to the emergency department. (3) Results: In all, 1160 patients were included: 808 patients were hospitalized, 199 cases (17%) required ICU care, and 6% of patients died (64 cases) within 2 days, which rose to 16% (183 cases) within 28 days. The highest area under the curve for predicting the need for ICU admissions was obtained by RAPS and MEWS. For predicting mortality, MREMS obtained the best scores for 2- and 28-day mortality. (4) Conclusions: This is the first study to explore whether several EWS accurately identify the risk of ICU admissions and mortality, at different time points, in patients with acute neurological disorders. Every score analyzed obtained good results, but it is suggested that the use of RAPS, MEWS, and MREMS should be preferred in the acute setting, for patients with neurological impairment.