Standardizing nursing degree curriculum structure in Spain: A mixed-methods study.

BACKGROUND: Legislation regulating Spanish and European academic curricula prescribes a certain level of knowledge and skills any student must master. Spanish universities freely decide the number of credits assigned to each subject and in which year the subject will be taught. We hypothesize that this flexibility may give way to excessively heterogeneous training across universities in nursing degrees. Such curricula heterogeneity hinders inter-university transfers and weakens educational excellence. OBJECTIVES: 1) To review the existing differences in nursing degrees in Spanish universities; 2) to compare our results against current legislation; 3) to propose changes in the legislation, if necessary. DESIGN: Mixed-methods approach. SETTING: Spain. METHODS: We reviewed nursing degree curricula of all 60 Spanish universities. Inter-university differences were analyzed and checked against current legislation. A focus group proposed legislative changes accordingly. RESULTS: Several differences between public and private universities were statistically significant. During the first cycle, public universities´ course loads include more theoretical teachings, more credits in core subjects during the first year, and more compulsory subjects in second year. Private universities are more likely to offer external internships during the first cycle whereas the public ones are more likely to offer them during the second cycle. Public universities offer more credits under the following curricular blocks than private ones: "Nutrition/Dietetics," "Psychiatry," "Public and Community Health," and "Geriatrics." In turn, private universities offer more credits in the areas of "Theory/Methodology," "Ethics/Legislation," "English," and "Theology." Academic curricula meet most of the criteria established by the Spanish and European legislation. The proposed legislative changes aim at standardizing curricula by associating specific credits and their timeline to the teaching blocks. CONCLUSIONS: Nursing degree curricula among Spanish universities are highly heterogeneous. Legislative changes to homogenize teaching blocks would facilitate credit validations and student mobility across universities, in addition to increasing nursing degrees´ standardization and excellence.

[Impact of COVID-19 on mortality in the autonomous community of Castilla y León (Spain)]. / Impacto de la COVID-19 en la mortalidad de la comunidad autónoma de Castilla y León.

OBJECTIVE: To estimate the increase in mortality associated with the SARS-CoV-2 coronavirus pandemic in the autonomous community of Castilla y León (Spain). METHOD: Ecological study based on population and death data for the months of March 2016 to 2020 in Castilla y León. The general and provincial standardized rates, the relative risks of the year 2020 with respect to previous years and the risks adjusted by sex, periods and province, using Poisson regression, were calculated. Trend analysis was performed using joinpoint linear regression. RESULTS: An increase in mortality was observed in March 2020 with respect to previous years, with an increase of 39% for men (relative risk [RR]: 1.39; 95% confidence interval [95%CI]: 1.32-1.47) and 28% for women (RR: 1.28; 95%CI: 1.21-1.35). The model predicts excess mortality of 775 deaths. In the trend analysis there is a significant turning point in 2019 in men, globally and for almost all provinces. The increase in mortality is general, although heterogeneous by sex, age group and province. CONCLUSIONS: Although the observed increase in mortality cannot be totally attributed to the disease, it is the best estimate we have of the real impact on deaths directly or indirectly related to it. The number of declared deaths only reaches two thirds of the increase in mortality observed.

Objective ADHD Diagnosis Using Convolutional Neural Networks Over Daily-Life Activity Records.

Attention Deficit/Hyperactivity Disorder (ADHD) is the most common neurobehavioral disorder in children and adolescents. However, its etiology is still unknown, and this hinders the existence of reliable, fast and inexpensive standard diagnostic methods. OBJECTIVE: This paper proposes an end-to-end methodology for automatic diagnosis of the combined type of ADHD. METHODS: Diagnosis is based on the analysis of 24 hour-long activity records using Convolutional Neural Networks to classify spectrograms of activity windows. RESULTS: We achieve up to [Formula: see text] average sensitivity, [Formula: see text] specificity and AUC values over [Formula: see text]. Overall, our figures overcome those obtained by actigraphy-based methods reported in the literature as well as others based on more expensive (and not so convenient) acquisition methods. CONCLUSION: These results reinforce the idea that combining deep learning techniques together with actimetry can lead to a robust and efficient system for objective ADHD diagnosis. SIGNIFICANCE: Reliance on simple activity measurements leads to an inexpensive and non-invasive objective diagn-ostic method, which can be easily implemented with daily devices.

Relationship between seasonal influenza rates and hospitalization and mortality rates due to acute cardiovascular diseases in a Spanish region. / Relación entre las tasas de gripe estacional y las tasas de hospitalización y mortalidad hospitalaria por enfermedades cardiovasculares agudas en una región española.

INTRODUCTION AND OBJECTIVE: Influenza virus infection can contribute to cardiovascular morbidity and mortality. The purpose of this study is to confirm if the increase in seasonal influenza rates is associated with a growth in hospitalisation and mortality rates for acute cardiovascular diseases (ACVD). METHODS: Retrospective cohort study of hospital discharges due to ACVD (myocardial infarction, unstable angina, heart failure and ischemic stroke) in the Castilla y León (Spain) hospital system between 2001 and 2015. Hospitalisation and hospital mortality rates due to ACVD, and influenza rates in Castilla y León between 2001 and 2015 were studied. To calculate hospitalisation and mortality rates, the hospital discharges database was used; for influenza rates, the weekly reports of the Sentinel System for the surveillance of influenza in Spain (Carlos III Health Institute) were used. A statistical analysis of linear and multivariate logistic regressions was performed. RESULTS: 239,586 ACVD (myocardial infarction: 55,004; unstable angina: 15,406; heart failure: 11,1647; ischemic stroke: 57,529) were studied. Increasing rates of influenza were associated with increased mortality due to ACVD and all the diseases studied, except unstable angina. A linear correlation was observed between influenza rates and hospitalisation (r2=0.03; p=0.02) and mortality (r2=0.14; p<0.001) rates by ACVD. Virtually all influenza rates were associated, as independent variables, to an increase in mortality due to ACVD, being higher in rates>139/100,000 inhabitants (OR: 1.25; p<0.001). CONCLUSIONS: The rates of hospitalisation and in-hospital mortality due to ACVD in the period 2001-2015 increased in relation to infection rates due to the influenza virus.

[Circadian variation in the effectiveness of reperfusion therapy in ST-segment elevation myocardial infarction treated with primary angioplasty and circadian associations with prognosis]. / Variabilidad circadiana de la efectividad de la técnica de reperfusión y del pronóstico del infarto de miocardio con elevación del ST tratado mediante angioplastia primaria.

OBJECTIVES: To explore circadian variation in the effectiveness of percutaneous transluminal coronary angioplasty (PTCA) to treat ST-elevation myocardial infarction (STEMI) To explore the effects of circardian variation on infarct extension and in-hospital complications. MATERIAL AND METHODS: Observational retrospective cohort study including patients with PTCA-treated STEMI in a tertiary care university hospital between March 2003 and August 2009. The independent variable of interest was the time of onset of STEMI symptoms, grouped in 6-hour time frames. The main outcome variable was PTCA effectiveness. Secondary outcome variables were infarct extension and the presence of in-hospital complications. RESULTS: A total of 522 patients records were studied. The mean (SD) age was 62.3 (13.6) years and 404 (77.4%) were men. The largest proportion of PTCA-treated STEMI cases first experienced symptoms between 6 AM and 12 PM (201 cases, 38.5%) (P<.001). PTCA was ineffective in 122 (23.4%). The 6 AM to 12 PM time frame was an independent predictor of PTCA ineffectiveness (odds ratio, 1.79; 95% CI, 1.09-2.94; P=.012). Onset in this interval was also associated with infarct extension but not with in-hospital complications. CONCLUSION: A time of onset of STEMI between 6 AM and 12 PM predicts the ineffectiveness of PTCA and greater infarct extension but not in-hospital complications.

OBJETIVO: Estudiar la presencia de un patrón de variabilidad circadiana en la efectividad del tratamiento con angioplastia coronaria transluminal percutánea (ACTPp) del infarto agudo de miocardio con elevación del segmento ST (IAMCEST), así como su relación con la extensión del infarto y la presencia de complicaciones intrahospitalarias. METODO: Estudio observacional de cohortes retrospectivo que incluyó a pacientes con IAMCEST tratados con ACTPp en un hospital terciario universitario entre marzo 2003 y agosto 2009. La variable de estudio fue la hora de inicio de los síntomas del IAMCEST, agrupando en periodos de riesgo cronobiológico de 6 horas. La variable de resultado principal fue la efectividad de ACTPp. Las variables de resultado secundarias fueron la extensión del infarto y la presencia de complicaciones intrahospitalarias. RESULTADOS: Se incluyeron 522 pacientes con una edad media de 62,3 (DE 13,6) años, de los cuales 404 (77,4%) fueron hombres. La franja horaria entre las 6-12 h fue la que presentó una mayor frecuencia de IAMCEST tratado con ACTPp (201 casos, 38,5%) (p < 0,001). Del total, 122 casos (23,4%) mostraron una ACTPp no efectiva. La franja horaria de 6-12 h fue un factor independiente de ACTPp no efectiva (OR 1,79; IC95% 1,09-2,94; p = 0,012). Además, se asoció con la extensión del infarto, aunque no con la presencia de complicaciones durante el ingreso hospitalario. CONCLUSIONES: La hora de inicio de infarto de miocardio, en la franja de 6-12 h, es un predictor independiente de ACTPp no efectiva y de una mayor extensión del infarto, pero no de complicaciones intrahospitalarias.

[Relation between myocardial infarction and circadian rhythm in patients attended in a prehospital emergency service]. / Relación entre infarto de miocardio y ritmo circadiano en pacientes atendidos por un servicio de emergencias prehospitalario.

BACKGROUND AND OBJECTIVES: The aim of this study is to analyze the presence of circadian rhythm in the time of onset of symptoms of acute myocardial infarction treated by a prehospital emergency system and the influence of modifiable cardiovascular risk factors and non-modifiable as modulators of that circadian rhythm. PATIENTS AND METHODS: Retrospective analysis of 709 patients clinically diagnosed with acute myocardial infarction on-site in the prehospital setting. The variables were time to onset of symptoms, age, sex, previous ischemic heart disease, hypertension, diabetes mellitus, hyperlipidemia and smoking. We analyzed the rhythm with cosinor multiple sinusoid method, with 3 harmonics (24, 12 and 8h) for the adjustment. RESULTS: The time of onset of pain showed circadian rhythm (P <,001), peaking at 10.39 and a valley at 4.28, showing a sinusoidal curve fitting bimodal aspect with a predominant morning peak and another evening one of lower amplitude. All subgroups categorized by the study variables showed circadian rhythm, with a cosine curve similar to the global infarction. Smokers had a predominantly evening peak. CONCLUSIONS: Acute myocardial infarction shows a circadian rhythm. Smoking and diabetes mellitus can modify the standard incidence rate of occurrence of myocardial infarction.

Characterization of activity epochs in actimetric registries for infantile colic diagnosis: Identification and feature extraction based on wavelets and symbolic dynamics.

The diagnosis and therapy planning of high prevalence pathologies such as infantile colic can be substantially improved by statistical signal processing of activity/rest registries. Assuming that colic episodes are associated to activity episodes, diagnosis aid systems should be based on preprocessing techniques able to separate real activity from rest epochs, and feature extraction methods to identify meaningful indices with diagnostic capabilities. In this paper, we propose a two step diagnosis aid methodology for infantile colic in children below 3 months old. Identification of activity periods is performed by means of a wavelet based activity filter which does not depend on the acquisition device (as so far proposed methods do). In addition, symbolic dynamic analysis is used for extraction of discriminative indices from the activity time series. Results on real data yielded 100% sensitivity and 80% specificity in a study group composed of 46 cases and 10 control subjects.