Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups.

Unlabelled: Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder in childhood that often persists into adulthood. Objectively diagnosing ADHD can be challenging due to the reliance on subjective questionnaires in clinical assessment. Fortunately, recent advancements in artificial intelligence (AI) have shown promise in providing objective diagnoses through the analysis of medical images or activity recordings.

[Trend in medicines use for attention deficit hyperactivity disorder in children and adolescents (2010-2019).].

Objective: Attention deficit hyperactivity disorder (ADHD) is a common childhood neurodevelopmental disorder characterised primarily by three core symptoms: inattention, hyperactivity and impulsivity. It is one of the most commonly diagnosed childhood psychiatric disorders, with a worldwide prevalence of between 3% and 5%, and between 6% and 7% in the Spanish population. The aim of the study is to analyse the trend in the consumption of drugs used for the treatment of ADHD between 2010-2019 in Castilla y León.

Construct Validity of the Routine Assessment of Patient Index Data 3 (RAPID3) in the Evaluation of Axial Spondyloarthritis.

Objective: Although there are different tools to evaluate axial spondyloarthritis (axSpA), they are hardly used in routine clinical practice due to time constraints. The Routine Assessment of Patient Index Data 3 (RAPID3) is a composite measure feasible for use as a sole metric in busy clinics. We aimed to test its measurement properties in patients with axial SpA in a real-world clinical setting.

Trends in psychiatric hospitalization for alcohol and drugs in Castilla y León between 2005 and 2015.

It has been estimated that alcohol, tobacco, and illicit drugs were responsible for more than 10 million deaths worldwide in 2016, and there are many opportunities for improvement. Regarding innovative data analysis, advances have been made in the extraction of information from administrative databases for analytics purposes. We studied trends in hospitalization rates for alcohol and drug abuse over eleven years with Joinpoint Trend Analysis software.

[Impact of COVID-19 on mortality in the autonomous community of Castilla y León (Spain)].

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.

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

Unlabelled: 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.

[Multiple birth trends in the region of Castilla y León (Spain) in a 13 year period].

Introduction: Multiple pregnancy has increased in prevalence in the last few years, which could lead to more foetal and maternal morbidity issues. The aim of this study is to describe the trend of multiple pregnancy deliveries in Castilla y León during the last 13years and the subsequent impact on foetal and maternal health.

Material And Methods: Data was collected from the hospital discharge reports registered in the Regional Health-care database (SACYL: Health care in Castilla y León) between 2001 and 2013.

Prevalence of oppositional defiant disorder in Spain.

Introduction: Oppositional defiant disorder (ODD) is characterized by a pattern of negative, defiant, disobedient and hostile behavior toward authority figures. ODD is one of the most frequent reasons for clinical consultation on mental health during childhood and adolescence. ODD has a high morbidity and dysfunction, and has important implications for the future if not treated early.

Automatic diagnosis of ADHD based on multichannel nonlinear analysis of actimetry registries.

Attention-Deficit Hyperactivity Disorder (ADHD) is the most common mental health problem in childhood and adolescence. It is commonly diagnosed by means of subjective methods which tend to overestimate the severity of the pathology. A number of objective methods also exist, but they are either expensive or time-consuming.

[Relation between myocardial infarction and circadian rhythm in patients attended in a prehospital emergency service].

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.

[Utility of a statistical model of cognitive styles in attention deficit hyperactivity disorder].

The purpose of this study was to determine the best statistical model of cognitive styles, based on the MFFT-20, CEFT and Stroop tests to predict attention deficit hyperactivity disorder (ADHD), analyzing the validity of the model for the diagnosis of the disease. We studied 100 ADHD cases (DSM-IV criteria) and 100 controls, age ranging between 7 and 11 years. Controls were randomly recruited and matched in age, gender and sociodemographic area with ADHD cases.

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.

[Usefulness of the Stroop test in attention deficit hyperactivity disorder].

Aims: The aim of this study is to analyse the differences in the Stroop effect between cases with attention deficit hyper-activity disorder (ADHD) and controls. It also seeks to find the best model based on the third task of the colours and words test (Stroop-CW) for predicting ADHD and to analyse the validity of the Stroop-CW test for diagnosing the disorder.

Subjects And Methods: The sample studied consisted of 100 cases of ADHD -according to Diagnostic and statistical manual of mental disorders (DSM-IV) criteria- and 100 controls, between 7 and 11 years of age, who were evaluated using the Stroop test.

[Prevalence of iodine deficiency in pregnant women in the health area of Palencia (Spain)].

Background: Iodine deficiency in pregnant women may result in substantial and irreversible impairment in fetal brain development, even from the first few weeks of pregnancy.

Objective: To assess the nutritional iodine status of pregnant women in our health area and its relationship with dietary factors and thyroid function and to suggest treatment guidelines.

Patients And Method: A study in 164 pregnant women in early pregnancy was carried out.

Decline and loss of birth seasonality in Spain: analysis of 33,421,731 births over 60 years.

Background And Aim: Several seasonal variations have been found in birth rates in different countries at different periods. The characteristics of the rhythmic patterns vary according to geographical location and chronological changes. This study presents data on spanish birth seasonality over six decades.

New insights into the circadian rhythm of acute myocardial infarction in subgroups.

The aim of this study was to determine the existence of the circadian rhythm (CR) in the onset of acute myocardial infarction (AMI) in different patient subgroups. Information was collected about 41,244 infarctions from the database of the ARIAM (Analysis of Delay in AMI) Spanish multicenter study. CR in AMI were explored in subgroups of cases categorized by age, gender, previous ischemic heart disease (PIHD), outcome in coronary care unit, infarction electrocardiograph (ECG) characteristics (Q wave or non-Q wave), and location of AMI.

[Differential circadian rhythms in myocardial infarction according to its extent by electrocardiogram].

Background And Objective: To determine the existence of circadian rhythm in the time of onset of acute myocardial infarction (AMI) according to their extension type (Q-wave vs. non-Q-wave).

Patients And Method: We studied a retrospective cohort of patients from a multicentre study of myocardial infarction (ARIAM study group).