Risk Factors for Multiple Violations of Protective Orders in Intimate Partner Violence Against Women.

This study examined 1,134 cases of violence against women in intimate partner relationships with violations of protective orders in a monitoring period of up to 15 months. The dynamics of time and violence were analyzed in the cases of multiple violation versus one-time violation, with the objective of identifying and thus neutralizing the risk factors for this type of recidivism. The results showed that early violation, serious physical violence, death threats, as well as jealousy, harassment, and control are related to multiple violation. This article discusses the results in comparison with other research and proposes measures to avoid revictimizations.

Diagnosis and management of Abernethy syndrome.

Abernethy syndrome (AS or extrahepatic portosystemic shunt) is an uncommon congenital malformation consisting of agenesis or hypoplasia of the portal vein (PV) in such a way that splanchnic venous blood drains directly into the systemic circulation through aberrant communications, resulting in a portosystemic shunt that bypasses the liver AS is an underdiagnosed condition with unknown incidence and complication rate given that symptoms are usually absent. AS identification is increasingly common because of improved imaging techniques, hence prognostic implications and clinical management need be understood. This editorial reviews the natural history of AS and its diagnostic-therapeutic implications, illustrating the process with a series of cases from our institution.

Different Ventricular Fibrillation Types in Low-Dimensional Latent Spaces.

The causes of ventricular fibrillation (VF) are not yet elucidated, and it has been proposed that different mechanisms might exist. Moreover, conventional analysis methods do not seem to provide time or frequency domain features that allow for recognition of different VF patterns in electrode-recorded biopotentials. The present work aims to determine whether low-dimensional latent spaces could exhibit discriminative features for different mechanisms or conditions during VF episodes. For this purpose, manifold learning using autoencoder neural networks was analyzed based on surface ECG recordings. The recordings covered the onset of the VF episode as well as the next 6 min, and comprised an experimental database based on an animal model with five situations, including control, drug intervention (amiodarone, diltiazem, and flecainide), and autonomic nervous system blockade. The results show that latent spaces from unsupervised and supervised learning schemes yielded moderate though quite noticeable separability among the different types of VF according to their type or intervention. In particular, unsupervised schemes reached a multi-class classification accuracy of 66%, while supervised schemes improved the separability of the generated latent spaces, providing a classification accuracy of up to 74%. Thus, we conclude that manifold learning schemes can provide a valuable tool for studying different types of VF while working in low-dimensional latent spaces, as the machine-learning generated features exhibit separability among different VF types. This study confirms that latent variables are better VF descriptors than conventional time or domain features, making this technique useful in current VF research on elucidation of the underlying VF mechanisms.

Multiple-Perpetrator and Solo-Offender Sexual Assaults Between Strangers: Differences and Predictive Variables.

Multiple-perpetrator rape is an under-studied topic, but there has been a recent increase in studies on the differences between multiple-perpetrator sexual offenses and the ones perpetrated by solo offenders. This study aims to have a deeper understanding of the differences between multiple-perpetrator and solo-offender sexual assaults committed by strangers, from a sample of 400 sexual aggressions reported to the Spanish police in 2010. Differences were explored on variables related to characteristics of perpetrators, the assault (approach, control, maintenance, termination, and sexual behavior), and the victims. Data were obtained from police files on sexual assaults committed around the country. Significant differences found were similar to other studies conducted in other countries and proved that multiple perpetrator assaults committed by strangers are a different subtype. Additionally, four predictive variables of multiple-perpetrator rape were identified: older age (OR = 0.943, 95% CI = [0.92, 0.97]), alcohol or drug use (OR = 2.499, 95% CI = [1.50, 4.32]), non-Spanish nationals (OR = 1.980, 95% CI = [1.14, 3.45]), and use of violence to control the victim (OR = 2.465, 95% CI = [1.03, 5.90]). The cultural and leisure characteristics of Spanish society provide facilitating opportunities for multiple-perpetrator rapes and prevention strategies should be urgently addressed.

Exploring the Risk of Resulting in Homicide and Suicide in Spanish Missing Person Cases.

The study explores in depth the relationship between missing persons' psychosocial and criminological characteristics/circumstances and violent-fatal outcomes (suicide and homicide). A relational analytical explicative study of 929 cases and controls was designed using a retrospective and stratified design. Data gathering was conducted through the content analysis of judicial and police information, as well as the development of psychological autopsy techniques and semi-structured interviews with the persons involved in the missing person cases including offenders in prison. Bivariate and multivariate statistical techniques were utilised for analyses. The findings showed that there are different risk and protective factors which can distinguish between good state of health, suicide, and homicide outcomes. This research entails implications for prevention and police risk assessment system.

Proinflammatory Cytokine Profile Differences between Primary Open-Angle and Pseudoexfoliative Glaucoma.

INTRODUCTION: Few studies have investigated glaucoma biomarkers in aqueous humor and tear and have found elevations of proinflammatory cytokines in patients with primary open-angle glaucoma (POAG) and pseudoexfoliative glaucoma (PXG). In this study, we investigate differences in inflammatory cytokines between POAG and PXG patients to find specific disease biomarkers. METHODS: For this purpose, tear and aqueous humor samples of 14 eyes with POAG and 15 eyes with PXG undergoing cataract surgery were immunoassayed for 27 proinflammatory cytokines. The concentrations of cytokines in tear and aqueous humor and their association with clinical variables were analyzed, correlated, and compared between the groups. RESULTS: We found that the levels of three cytokines differed significantly in the aqueous humor of POAG and PXG patients: IL-12 and IL-13 were higher in the POAG group, while monocyte chemoattractant protein-1 (monocyte chemotactic and activating factor) was higher in the PXG group. The number of topical hypotensive medications was correlated with diminished levels of two cytokines (IL-7 and basic fibroblast growth factor) in aqueous humor in the POAG group and with diminished levels of IL-12 in tear in the PXG group. CONCLUSION: We conclude that both POAG and PXG show elevated concentrations of proinflammatory cytokines in tear and aqueous humor that could be used as biomarkers for these types of glaucoma and that the concentrations in aqueous humor of three cytokines, IL-12, IL-13, and monocyte chemoattractant protein-1 (monocyte chemotactic and activating factor), could be used to differentiate POAG and PXG.

Prognosis patients with COVID-19 using deep learning.

BACKGROUND: The coronavirus (COVID-19) is a novel pandemic and recently we do not have enough knowledge about the virus behaviour and key performance indicators (KPIs) to assess the mortality risk forecast. However, using a lot of complex and expensive biomarkers could be impossible for many low budget hospitals. Timely identification of the risk of mortality of COVID-19 patients (RMCPs) is essential to improve hospitals' management systems and resource allocation standards. METHODS: For the mortality risk prediction, this research work proposes a COVID-19 mortality risk calculator based on a deep learning (DL) model and based on a dataset provided by the HM Hospitals Madrid, Spain. A pre-processing strategy for unbalanced classes and feature selection is proposed. To evaluate the proposed methods, an over-sampling Synthetic Minority TEchnique (SMOTE) and data imputation approaches are introduced which is based on the K-nearest neighbour. RESULTS: A total of 1,503 seriously ill COVID-19 patients having a median age of 70 years old are comprised in the research work, with 927 (61.7%) males and 576 (38.3%) females. A total of 48 features are considered to evaluate the proposed method, and the following results are achieved. It includes the following values i.e., area under the curve (AUC) 0.93, F2 score 0.93, recall 1.00, accuracy, 0.95, precision 0.91, specificity 0.9279 and maximum probability of correct decision (MPCD) 0.93. CONCLUSION: The results show that the proposed method is significantly best for the mortality risk prediction of patients with COVID-19 infection. The MPCD score shows that the proposed DL outperforms on every dataset when evaluating even with an over-sampling technique. The benefits of the data imputation algorithm for unavailable biomarker data are also evaluated. Based on the results, the proposed scheme could be an appropriate tool for critically ill Covid-19 patients to assess the risk of mortality and prognosis.

Endoscopic findings unrelated to portal hypertension in patients with liver cirrhosis undergoing a varicose vein screening programme. / Hallazgos endoscópicos no relacionados con hipertensión portal en pacientes con cirrosis hepática sometidos a un programa de cribado de varices.

AIM: To determine the prevalence of endoscopic lesions unrelated with portal hypertension in patients with cirrhosis. PATIENTS AND METHODS: Cross-sectional study including a consecutive cohort of patients with liver cirrhosis enrolled in a screening program of oesophageal varices who underwent an upper gastrointestinal endoscopy from November, 2013, to November, 2018. Clinical predictors of endoscopic lesions unrelated to portal hypertension were analyzed by univariate and multivariate logistic regression. RESULTS: A total of 379 patients were included. The most frequent aetiology of liver disease was alcohol consumption (60.4%). The prevalence of endoscopic lesions unrelated with portal hypertension was 39.6% (n=150). Among 96 patients with peptic lesions, urease was obtained in 56.2% of patients (positive in 44.4% of them). The prevalence of endoscopic lesions unrelated to portal hypertension was not associated with age, gender, liver function or ultrasound findings of portal hypertension. The prevalence of endoscopic lesions unrelated to portal hypertension was not associated with age, gender, liver function or ultrasound findings of portal hypertension. Smokers had a trend to increased prevalence of endoscopic lesions unrelated to portal hypertension (43.2% vs. 34.6%; p=0.09), particularly peptic ulcer (6.4% vs. 0.6%; p=0.05) and peptic duodenitis (17.3% vs. 6.3%; p=0.002). Active smoking was the only independent predictor of peptic ulcer or duodenitis (OR=2.56; p=0.017). CONCLUSION: Active smoking is a risk factor for endoscopic lesions unrelated to portal hypertension. This finding should be further investigated to reassess endoscopic screening programs in cirrhotic smokers.

Effectiveness of management of severe acute malnutrition (SAM) through community health workers as compared to a traditional facility-based model: a cluster randomized controlled trial.

PURPOSE: We compared the impact of management of severe acute malnutrition (SAM) by lady health workers (LHWs) at a community level with the standard CMAM program provided at the health facility. METHODS: A two-arm cluster randomised controlled trial was conducted in a rural district in sindh Pakistan. The primary outcome was recovery from SAM and secondary outcomes were relapse, defaulter and mortality rate. RESULTS: A total of 829 children were recruited in the trial (430 in intervention and 399 in control groups). No significant difference was noted in recovery rate between the intervention and control groups (79.2% vs 85.6%, p = 0.276). Similarly, no significant differences were noted in relapse (p = 0.757), weight gain (p = 0.609), deaths (p = 0.775) and defaulter rate (p = 0.324) across the groups. Compliance of RUTF was significantly higher in the control group (93%) than in the intervention group (87%), p < 0.000. CONCLUSION: Our results showed no impact of SAM treatment on performance indicators of CMAM (recovery, relapse, death and default) between the standard CMAM programme performed at the health facility by the government and NGO staff and the programme performed at health house level by the LHWs in Pakistan. We recommend further robust trials in other settings to confirm our results.

Comparison of Omegawave Device and an Ambulatory ECG for RR Interval Measurement at rest.

The aim of this study was to validate the measurements of the beat intervals taken at rest by the Omegawave® device by comparing them to an ambulatory electrocardiogram system. For this purpose, the electrocardiogram was digitally processed, time-aligned, and scrutinized for its suitable use as gold-standard. Rest measurements were made for 10 minutes on 5 different days to 10 men and 3 women (24.8±5.05 years; 71.82±11.02 kg; 174.35±9.13 cm). RR intervals were simultaneously recorded using the Omegawave device and a Holter electrocardiogram. The processing of Holter electrocardiogram signals included the detrending of baseline noise and a high-pass filtering for emphasizing the QRS complexes and attenuating the T waves. After obtaining the RR intervals from the electrocardiogram, those from the Omegawave device were automatically aligned to them with cross-correlation digital processing techniques and compared to check whether both measurements could be considered superimposable. A Bland-Altman analysis was applied to the 5 measurements made for all subjects. The Omegawave device exhibited very strong agreement with a quality-controlled Holter electrocardiogram. Deviations not exceeding 25 ms could be expected in 95% of the cases, which is within manageable ranges both for clinical practice and for sports.

Analysis of Single Board Architectures Integrating Sensors Technologies.

Development boards, Single-Board Computers (SBCs) and Single-Board Microcontrollers (SBMs) integrating sensors and communication technologies have become a very popular and interesting solution in the last decade. They are of interest for their simplicity, versatility, adaptability, ease of use and prototyping, which allow them to serve as a starting point for projects and as reference for all kinds of designs. In this sense, there are innumerable applications integrating sensors and communication technologies where they are increasingly used, including robotics, domotics, testing and measurement, Do-It-Yourself (DIY) projects, Internet of Things (IoT) devices in the home or workplace and science, technology, engineering, educational and also academic world for STEAM (Science, Technology, Engineering and Mathematics) skills. The interest in single-board architectures and their applications have caused that all electronics manufacturers currently develop low-cost single board platform solutions. In this paper we realized an analysis of the most important topics related with single-board architectures integrating sensors. We analyze the most popular platforms based on characteristics as: cost, processing capacity, integrated processing technology and open-source license, as well as power consumption (mA@V), reliability (%), programming flexibility, support availability and electronics utilities. For evaluation, an experimental framework has been designed and implemented with six sensors (temperature, humidity, CO2/TVOC, pressure, ambient light and CO) and different data storage and monitoring options: locally on a µSD (Micro Secure Digital), on a Cloud Server, on a Web Server or on a Mobile Application.

Implementation of a hepatology and gastroenterology teleconsultation for our penitentiary center.

The use of telemedicine in penitentiary centers (PCs) is an effective measure to improve quality access to specialized care (secondary prevention) and reduces the inherent costs derived from physical consultations of inmates in hospitals. Regarding the project of our Community Health Service, we enthusiastically began a gastroenterology teleconsultation in our PC at the end of 2020. This modality completes the monthly/on-demand hepatology consultation carried out in this PC since 2015.

Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (I): Preprocessing and Bipolar Potentials.

During the last years, Electrocardiographic Imaging (ECGI) has emerged as a powerful and promising clinical tool to support cardiologists. Starting from a plurality of potential measurements on the torso, ECGI yields a noninvasive estimation of their causing potentials on the epicardium. This unprecedented amount of measured cardiac signals needs to be conditioned and adapted to current knowledge and methods in cardiac electrophysiology in order to maximize its support to the clinical practice. In this setting, many cardiac indices are defined in terms of the so-called bipolar electrograms, which correspond with differential potentials between two spatially close potential measurements. Our aim was to contribute to the usefulness of ECGI recordings in the current knowledge and methods of cardiac electrophysiology. For this purpose, we first analyzed the basic stages of conventional cardiac signal processing and scrutinized the implications of the spatial-temporal nature of signals in ECGI scenarios. Specifically, the stages of baseline wander removal, low-pass filtering, and beat segmentation and synchronization were considered. We also aimed to establish a mathematical operator to provide suitable bipolar electrograms from the ECGI-estimated epicardium potentials. Results were obtained on data from an infarction patient and from a healthy subject. First, the low-frequency and high-frequency noises are shown to be non-independently distributed in the ECGI-estimated recordings due to their spatial dimension. Second, bipolar electrograms are better estimated when using the criterion of the maximum-amplitude difference between spatial neighbors, but also a temporal delay in discrete time of about 40 samples has to be included to obtain the usual morphology in clinical bipolar electrograms from catheters. We conclude that spatial-temporal digital signal processing and bipolar electrograms can pave the way towards the usefulness of ECGI recordings in the cardiological clinical practice. The companion paper is devoted to analyzing clinical indices obtained from ECGI epicardial electrograms measuring waveform variability and repolarization tissue properties.

Spatial-Temporal Signals and Clinical Indices in Electrocardiographic Imaging (II): Electrogram Clustering and T-wave Alternans.

During the last years, attention and controversy have been present for the first commercially available equipment being used in Electrocardiographic Imaging (ECGI), a new cardiac diagnostic tool which opens up a new field of diagnostic possibilities. Previous knowledge and criteria of cardiologists using intracardiac Electrograms (EGM) should be revisited from the newly available spatial-temporal potentials, and digital signal processing should be readapted to this new data structure. Aiming to contribute to the usefulness of ECGI recordings in the current knowledge and methods of cardiac electrophysiology, we previously presented two results: First, spatial consistency can be observed even for very basic cardiac signal processing stages (such as baseline wander and low-pass filtering); second, useful bipolar EGMs can be obtained by a digital processing operator searching for the maximum amplitude and including a time delay. In addition, this work aims to demonstrate the functionality of ECGI for cardiac electrophysiology from a twofold view, namely, through the analysis of the EGM waveforms, and by studying the ventricular repolarization properties. The former is scrutinized in terms of the clustering properties of the unipolar an bipolar EGM waveforms, in control and myocardial infarction subjects, and the latter is analyzed using the properties of T-wave alternans (TWA) in control and in Long-QT syndrome (LQTS) example subjects. Clustered regions of the EGMs were spatially consistent and congruent with the presence of infarcted tissue in unipolar EGMs, and bipolar EGMs with adequate signal processing operators hold this consistency and yielded a larger, yet moderate, number of spatial-temporal regions. TWA was not present in control compared with an LQTS subject in terms of the estimated alternans amplitude from the unipolar EGMs, however, higher spatial-temporal variation was present in LQTS torso and epicardium measurements, which was consistent through three different methods of alternans estimation. We conclude that spatial-temporal analysis of EGMs in ECGI will pave the way towards enhanced usefulness in the clinical practice, so that atomic signal processing approach should be conveniently revisited to be able to deal with the great amount of information that ECGI conveys for the clinician.

Spectral Analysis and Mutual Information Estimation of Left and Right Intracardiac Electrograms during Ventricular Fibrillation.

Ventricular fibrillation (VF) signals are characterized by highly volatile and erratic electrical impulses, the analysis of which is difficult given the complex behavior of the heart rhythms in the left (LV) and right ventricles (RV), as sometimes shown in intracardiac recorded Electrograms (EGM). However, there are few studies that analyze VF in humans according to the simultaneous behavior of heart signals in the two ventricles. The objective of this work was to perform a spectral and a non-linear analysis of the recordings of 22 patients with Congestive Heart Failure (CHF) and clinical indication for a cardiac resynchronization device, simultaneously obtained in LV and RV during induced VF in patients with a Biventricular Implantable Cardioverter Defibrillator (BICD) Contak Renewal IVTM (Boston Sci.). The Fourier Transform was used to identify the spectral content of the first six seconds of signals recorded in the RV and LV simultaneously. In addition, measurements that were based on Information Theory were scrutinized, including Entropy and Mutual Information. The results showed that in most patients the spectral envelopes of the EGM sources of RV and LV were complex, different, and with several frequency peaks. In addition, the Dominant Frequency (DF) in the LV was higher than in the RV, while the Organization Index (OI) had the opposite trend. The entropy measurements were more regular in the RV than in the LV, thus supporting the spectral findings. We can conclude that basic stochastic processing techniques should be scrutinized with caution and from basic to elaborated techniques, but they can provide us with useful information on the biosignals from both ventricles during VF.

[Digital health services as a means to control dementia]. / Oportunidad en la salud digital: una respuesta al control de las demencias.

The increase of the elderly population with a significant load of non-communicable diseases, accelerates pathological aging and increases the risk of dementia, generating a huge health, social and economic cost for any country. Dementia does not have an effective treatment yet, therefore, the focus must remain on prevention and early diagnosis. The early stages of dementia are known as mild cognitive impairment; at this stage is still possible to mitigate the progression of the disease, however, health systems worldwide face difficulties to provide universal access to health services, due to a lack of specialists and geographical distances, interfering with the access to healthcare centers. In this scenario, WHO urged countries to implement strategies to democratize and to expand the reach of health institutions. In this document, we briefly review the global and local situation of dementias and discuss some attempts to control their progression by using revolutionary digital tools. We believe the focus should be on the population that is just beginning to show cognitive impairment.

Lack of improvement in autonomic cardiac tone after sacubitril/valsartan at lower than target doses.

Autonomic regulation plays a role in the progression of heart failure with reduced ejection fraction (HrEF).Twenty-one HFrEF patients, 60.8 ±â€¯13.1 years, receiving angiotensin inhibition, were replaced by angiotensin receptor-neprilysin inhibitor (ARNI). A 24-hour Holter recording was performed before and after 3 months of the maximum tolerated dose of ARNi. We evaluated changes in autonomic tone using heart rate variability (SDNN, rMSSD, pNN50, LF, HF, LF/HF, α1, α2), and heart rate turbulence (TO and TS). ARNI was up-titrated to a maximum daily dose of 190 ±â€¯102 mg, 47.5% of the target dose. ARNI therapy was not associated with any improvement in any of the parameters related with heart rate variability or heart rate turbulence (p > 0.05 for all). ARNI use at lower than target doses did not improve autonomic cardiac tone as evaluated by 24-hour Holter monitoring.

Efficacy of baths with mineral-medicinal water in patients with fibromyalgia: a randomized clinical trial.

The layout of this study, designed as a randomized crossover clinical trial, is to evaluate the efficacy of an intervention with mineral-medicinal water from As Burgas (Ourense) in patients suffering from fibromyalgia. This sample was randomly divided into two groups: group A and group B. In phase 1, group A had 14 baths in thermal water for a month and standard pharmacological treatment; group B, standard pharmacological treatment. Washout period is 3 months. In phase 2, group A had standard treatment and group B had 14 baths in thermal water for a month plus standard treatment. The Fibromyalgia Impact Questionnaire (FIQ) was used; this grades the impact of the illness from 1 (minimum) to 10 (maximum), which was measured in both phases. Twenty-five patients were included in each group and the study was concluded with 20 patients in group A and 20 in group B. The intervention group obtained, once the baths finished, a mean score of 60.3 (± 11.8) and the control group of 70.8 (± 13.0) (p < 0.001). Three months later, the intervention group presented a mean score of 64.4 (± 10.6) and the control group of 5.0 (± 11.3) (p < 0.001). We can therefore conclude that the simple baths with mineral-medicinal water from As Burgas can make an improvement on the impact caused by fibromyalgia.

Enabling Heart Self-Monitoring for All and for AAL-Portable Device within a Complete Telemedicine System.

During the last decades there has been a rapidly growing elderly population and the number of patients with chronic heart-related diseases has exploded. Many of them (such as those with congestive heart failure or some types of arrhythmias) require close medical supervision, thus imposing a big burden on healthcare costs in most western economies. Specifically, continuous or frequent Arterial Blood Pressure (ABP) and electrocardiogram (ECG) monitoring are important tools in the follow-up of many of these patients. In this work, we present a novel remote non-ambulatory and clinically validated heart self-monitoring system, which allows ABP and ECG monitoring to effectively identify clinically relevant arrhythmias. The system integrates digital transmission of the ECG and tensiometer measurements, within a patient-comfortable support, easy to recharge and with a multi-function software, all of them aiming to adapt for elderly people. The main novelty is that both physiological variables (ABP and ECG) are simultaneously measured in an ambulatory environment, which to our best knowledge is not readily available in the clinical market. Different processing techniques were implemented to analyze the heart rhythm, including pause detection, rhythm alterations and atrial fibrillation, hence allowing early detection of these diseases. Our results achieved clinical quality both for in-lab hardware testing and for ambulatory scenario validations. The proposed active assisted living (AAL) Sensor-based system is an end-to-end multidisciplinary system, fully connected to a platform and tested by the clinical team from beginning to end.

Opposition-Based Memetic Algorithm and Hybrid Approach for Sorting Permutations by Reversals.

Sorting unsigned permutations by reversals is a difficult problem; indeed, it was proved to be NP -hard by Caprara ( 1997 ). Because of its high complexity, many approximation algorithms to compute the minimal reversal distance were proposed until reaching the nowadays best-known theoretical ratio of 1.375. In this article, two memetic algorithms to compute the reversal distance are proposed. The first one uses the technique of opposition-based learning leading to an opposition-based memetic algorithm; the second one improves the previous algorithm by applying the heuristic of two breakpoint elimination leading to a hybrid approach. Several experiments were performed with one-hundred randomly generated permutations, single benchmark permutations, and biological permutations. Results of the experiments showed that the proposed OBMA and Hybrid-OBMA algorithms achieve the best results for practical cases, that is, for permutations of length up to 120. Also, Hybrid-OBMA showed to improve the results of OBMA for permutations greater than or equal to 60. The applicability of our proposed algorithms was checked processing permutations based on biological data, in which case OBMA gave the best average results for all instances.