Progressive supranuclear palsy, a case report

Progressive Supranuclear Palsy (PSP), also known as Steele-Richardson-Olszewski syndrome, is a rare neurodegenerative disease characterized by a variety of motor and neuro-ophthalmological symptoms. We present the case of a 73-year-old male patient with a history of type 2 diabetes and high blood pressure, who consulted for gait disorders, tremors in the extremities, and difficulty controlling conjugate gaze. During physical examination, findings consistent with PSP were noted, including hypomimia, muscle rigidity, and abnormal movements. The initial misdiagnosis of Parkinson's disease and subsequent administration of levodopa highlight the importance of accurate diagnosis in complex neurological conditions. This clinical case highlights the need for a thorough evaluation of neuro-ophthalmological symptoms and signs to ensure an appropriate therapeutic approach and improve the quality of life of patients.

Dependency and frailty in the older haemodialysis patient

BACKGROUND

Frailty among older adults undergoing hemodialysis is increasingly prevalent, significantly impacting cognitive function, mobility, and social engagement. This study focuses on the clinical profiles of very older adults in hemodialysis, particularly examining the interplay of dependency and frailty, and their influence on dialysis regimens.

METHODS

In this observational, descriptive study, 107 patients aged over 75 from four outpatient centers and one hospital unit were examined over a year. Patient data encompassed sociodemographic factors, dialysis specifics, analytical outcomes, lifestyle elements, and self-reported post-treatment fatigue. Malnutrition-inflammation scale was used to measure the Nutritional status; MIS scale for malnutrition-inflammation, Barthel index for dependency, Charlson comorbidity index; FRIED scale for frailty and the SF12 quality of life measure.

RESULTS

The study unveiled that a substantial number of older adults on hemodialysis faced malnutrition (55%), dependency (21%), frailty (46%), and diminished quality of life (57%). Patients with dependency were distinctively marked by higher comorbidity, severe malnutrition, enhanced frailty, nursing home residency, dependency on ambulance transportation, and significantly limited mobility, with 77% unable to walk. Notably, 56% of participants experienced considerable post-dialysis fatigue, correlating with higher comorbidity, increased dependency, and poorer quality of life. Despite varying clinical conditions, dialysis patterns were consistent across the patient cohort.

CONCLUSIONS

The older adult cohort, averaging over four years on hemodialysis, exhibited high rates of comorbidity, frailty, and dependency, necessitating substantial support in transport and living arrangements. A third of these patients lacked residual urine output, yet their dialysis regimen mirrored those with preserved output. The study underscores the imperative for tailored therapeutic strategies to mitigate dependency, preserve residual renal function, and alleviate post-dialysis fatigue, ultimately enhancing the physical quality of life for these patients.

NIRS (Near Infrared Spectroscopy) classification of sliced Duroc dry-cured ham under various packaging systems and storage temperature and time

The potential of Near Infrared Spectroscopy (NIRS) was assessed for storage temperature discrimination (4 °C ± 2 vs. 20 °C ± 2) and for the prediction of the length of time that sliced Duroc dry-cured ham was in storage, considering the following packaging types; vacuum (n = 133) and modified atmosphere (MAP) (n = 133), without opening the package. The models, obtained by means of Partial least squares-discriminant analysis, indicated successful classification of the product according to storage temperature after validation (accuracy values of 100.00% in vacuum and between 92.00 and 100% in MAP). Furthermore, good accuracy was obtained for the assignments into storage times, with values comprised between 92.31% and 100.00% for samples under vacuum and between 91.00% and 97.00% for those under MAP, in both cases after validation. Thus, NIRS technology could help to support the preservation temperature traceability and the stocks of sliced dry-cured hams.

Hybrid Genetic Algorithm for Clustering IC Topographies of EEGs

Clustering of independent component (IC) topographies of Electroencephalograms (EEG) is an effective way to find brain-generated IC processes associated with a population of interest, particularly for those cases where event-related potential features are not available. This paper proposes a novel algorithm for the clustering of these IC topographies and compares its results with the most currently used clustering algorithms. In this study, 32-electrode EEG signals were recorded at a sampling rate of 500 Hz for 48 participants. EEG signals were pre-processed and IC topographies computed using the AMICA algorithm. The algorithm implements a hybrid approach where genetic algorithms are used to compute more accurate versions of the centroids and the final clusters after a pre-clustering phase based on spectral clustering. The algorithm automatically selects the optimum number of clusters by using a fitness function that involves local-density along with compactness and separation criteria. Specific internal validation metrics adapted to the use of the absolute correlation coefficient as the similarity measure are defined for the benchmarking process. Assessed results across different ICA decompositions and groups of subjects show that the proposed clustering algorithm significantly outperforms the (baseline) clustering algorithms provided by the software EEGLAB, including CORRMAP.

Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data

Developmental dyslexia is characterized by a deficit of phonological awareness whose origin is related to atypical neural processing of speech streams. This can lead to differences in the neural networks that encode audio information for dyslexics. In this work, we investigate whether such differences exist using functional near-infrared spectroscopy (fNIRS) and complex network analysis. We have explored functional brain networks derived from low-level auditory processing of nonspeech stimuli related to speech units such as stress, syllables or phonemes of skilled and dyslexic seven-year-old readers. A complex network analysis was performed to examine the properties of functional brain networks and their temporal evolution. We characterized aspects of brain connectivity such as functional segregation, functional integration or small-worldness. These properties are used as features to extract differential patterns in controls and dyslexic subjects. The results corroborate the presence of discrepancies in the topological organizations of functional brain networks and their dynamics that differentiate between control and dyslexic subjects, reaching an Area Under ROC Curve (AUC) up to 0.89 in classification experiments.

A Sarcopenia Index Derived from Malnutrition Parameters in Elderly Haemodialysis Patients

(1) Background: Persons with chronic kidney disease may have sarcopenia characterized by the loss of muscle mass and loss of muscle strength. However, EWGSOP2 criteria to diagnose sarcopenia are technically challenging, especially in elderly persons on hemodialysis. Sarcopenia may be associated with malnutrition. We aimed at defining a sarcopenia index derived from malnutrition parameters for use in elderly haemodialysis patients. (2) Methods: A retrospective study of 60 patients aged 75 to 95 years treated with chronic hemodialysis was conducted. Anthropometric and analytical variables, EWGSOP2 sarcopenia criteria and other nutrition-related variables were collected. Binomial logistic regressions were used to define the combination of anthropometric and nutritional parameters that best predict moderate or severe sarcopenia according to EWGSOP2, and performance for moderate and severe sarcopenia was assessed by the area under the curve (AUC) of receiver operating characteristic (ROC) curves. (3) Results: The combination of loss of strength, loss of muscle mass and low physical performance correlated with malnutrition. We developed regression-equation-related nutrition criteria that predicted moderate sarcopenia (elderly hemodialysis sarcopenia index-moderate, EHSI-M) and severe sarcopenia (EHSI-S) diagnosed according to EWGSOP2 with an AUC of 0.80 and 0.866, respectively. (4) Conclusions: There is a close relationship between nutrition and sarcopenia. The EHSI may identify EWGSOP2-diagnosed sarcopenia from easily accessible anthropometric and nutritional parameters.

EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia

While the brain connectivity network can inform the understanding and diagnosis of developmental dyslexia, its cause-effect relationships have not yet enough been examined. Employing electroencephalography signals and band-limited white noise stimulus at 4.8[Formula: see text]Hz (prosodic-syllabic frequency), we measure the phase Granger causalities among channels to identify differences between dyslexic learners and controls, thereby proposing a method to calculate directional connectivity. As causal relationships run in both directions, we explore three scenarios, namely channels' activity as sources, as sinks, and in total. Our proposed method can be used for both classification and exploratory analysis. In all scenarios, we find confirmation of the established right-lateralized Theta sampling network anomaly, in line with the assumption of the temporal sampling framework of oscillatory differences in the Theta and Gamma bands. Further, we show that this anomaly primarily occurs in the causal relationships of channels acting as sinks, where it is significantly more pronounced than when only total activity is observed. In the sink scenario, our classifier obtains 0.84 and 0.88 accuracy and 0.87 and 0.93 AUC for the Theta and Gamma bands, respectively.

Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism

The combination of different sources of information is currently one of the most relevant aspects in the diagnostic process of several diseases. In the field of neurological disorders, different imaging modalities providing structural and functional information are frequently available. Those modalities are usually analyzed separately, although a joint of the features extracted from both sources can improve the classification performance of Computer-Aided Diagnosis (CAD) tools. Previous studies have computed independent models from each individual modality and combined them in a subsequent stage, which is not an optimum solution. In this work, we propose a method based on the principles of siamese neural networks to fuse information from Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET). This framework quantifies the similarities between both modalities and relates them with the diagnostic label during the training process. The resulting latent space at the output of this network is then entered into an attention module in order to evaluate the relevance of each brain region at different stages of the development of Alzheimer's disease. The excellent results obtained and the high flexibility of the method proposed allow fusing more than two modalities, leading to a scalable methodology that can be used in a wide range of contexts.

Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern

The prevalence of dementia is currently increasing worldwide. This syndrome produces a deterioration in cognitive function that cannot be reverted. However, an early diagnosis can be crucial for slowing its progress. The Clock Drawing Test (CDT) is a widely used paper-and-pencil test for cognitive assessment in which an individual has to manually draw a clock on a paper. There are a lot of scoring systems for this test and most of them depend on the subjective assessment of the expert. This study proposes a computer-aided diagnosis (CAD) system based on artificial intelligence (AI) methods to analyze the CDT and obtain an automatic diagnosis of cognitive impairment (CI). This system employs a preprocessing pipeline in which the clock is detected, centered and binarized to decrease the computational burden. Then, the resulting image is fed into a Convolutional Neural Network (CNN) to identify the informative patterns within the CDT drawings that are relevant for the assessment of the patient's cognitive status. Performance is evaluated in a real context where patients with CI and controls have been classified by clinical experts in a balanced sample size of [Formula: see text] drawings. The proposed method provides an accuracy of [Formula: see text] in the binary case-control classification task, with an AUC of [Formula: see text]. These results are indeed relevant considering the use of the classic version of the CDT. The large size of the sample suggests that the method proposed has a high reliability to be used in clinical contexts and demonstrates the suitability of CAD systems in the CDT assessment process. Explainable artificial intelligence (XAI) methods are applied to identify the most relevant regions during classification. Finding these patterns is extremely helpful to understand the brain damage caused by CI. A validation method using resubstitution with upper bound correction in a machine learning approach is also discussed.

Origin of congenital coronary arterio-ventricular fistulae from anomalous epicardial and myocardial development

Coronary Artery Fistulae (CAFs) are cardiac congenital anomalies consisting of an abnormal communication of a coronary artery with either a cardiac chamber or another cardiac vessel. In humans, these congenital anomalies can lead to complications such as myocardial hypertrophy, endocarditis, heart dilatation, and failure. Unfortunately, despite their clinical relevance, the aetiology of CAFs remains unknown. In this work, we have used two different species (mouse and avian embryos) to experimentally model CAFs morphogenesis. Both conditional Itga4 (alpha 4 integrin) epicardial deletion in mice and cryocauterisation of chick embryonic hearts disrupted epicardial development and ventricular wall growth, two essential events in coronary embryogenesis. Our results suggest that myocardial discontinuities in the embryonic ventricular wall promote the early contact of the endocardium with epicardial-derived coronary progenitors at the cardiac surface, leading to ventricular endocardial extrusion, precocious differentiation of coronary smooth muscle cells, and the formation of pouch-like aberrant coronary-like structures in direct connection with the ventricular lumen. The structure of these CAF-like anomalies was compared with histopathological data from a human CAF. Our results provide relevant information for the early diagnosis of these congenital anomalies and the molecular mechanisms that regulate their embryogenesis.

Moderate exercise protects against joint disease in a murine model of osteoarthritis

Exercise is recommended as a non-pharmacological therapy for osteoarthritis (OA). Various exercise regimes, with differing intensities and duration, have been used in a range of OA rodent models. These studies show gentle or moderate exercise reduces the severity of OA parameters while high intensity load bearing exercise is detrimental. However, these studies were largely conducted in rats or in mouse models induced by severe injury, age or obesity, whilst destabilization of the medial meniscus (DMM) in mice has become a widely accepted model due to its lower variability, moderate progression and timescale. The present study was undertaken to provide insight into the effect of moderate exercise on early joint pathology in the DMM mouse model. Exercise was induced a week after induction by forced wheel walking for three or 7 weeks. Joints were analyzed by microcomputed tomography and histology. Assessment of skeletal parameters revealed that exercise offered protection against cartilage damage after 7 weeks of exercise, and a temporary protection against osteosclerosis was displayed after 3 weeks of exercise. Furthermore, exercise modified the metaphyseal trabecular microarchitecture of the osteoarthritic leg in both time points examined. Collectively, our findings corroborate previous studies showing that exercise has an important effect on bone in OA, which subsequently, at 8 weeks post-induction, translates into less cartilage damage. Thus, providing an exercise protocol in a surgical mouse model of OA, which can be used in the future to further dissect the mechanisms by which moderate exercise ameliorates OA.

Central retinal artery occlusion as an ophthalmic complication after snakebite

Snakebite causes 421.000-1.200.000 poisonings per year due to and hematotoxicity, neurotoxicity y vasculotoxicity. Ophthalmological manifestations secondary to snake bites are rare. If the snake belongs to the Viperidae family, the most frequent ophthalmologic manifestations are macular infarction, chronic open-angle glaucoma, and retinal or vitreous hemorrhage. Central retinal artery occlusion is an extremely rare ocular complication. We report the case of a 30-year-old patient, who consulted due to poor vision in her left eye weeks after suffering a snake bite (Bothrops atrox) in her left lower limb. The diagnosis was a central retinal artery occlusion in the left eye with abnormal findings in the ophthalmological physical examination and in complementary retinal and neuro-ophthalmological tests.

P-080 Intrauterine insemination (IUI) success rates in patients with suboptimal total processed motile sperm count (TPMSC) using a second consecutive semen sample

Study question

Is it effective to request a second consecutive semen sample in patients with less than 1 million TPMSC in a first semen sample for IUI?

Summary answer

In men with TPMSC under one million, the issuing of a second consecutive sample reached pregnancy rates similar to those published for IUI.

What is known already

IUI offers a comparable cumulative live birth rate in 3-4 cycles compared to IVF and can be preferred as a cost-effective first-line treatment in mild male factor or unexplained infertility. The quality of the processed semen sample is an important factor for the IUI success.

The WHO recommends an abstinence period to ensure best quality of semen samples. However, it has been observed that when men with moderate male factor who are unable to meet the minimum requirements for IUI are asked to produce a second sample better counts are obtained; questioning the time correlation between abstinence and semen quality.

Study design, size, duration

This was a retrospective study conducted in the reproductive medicine unit of a private hospital in Chile between July 2015 and March 2021. All patients who underwent IUI in the study period that had an TPMSC less than 1 million in the eyaculate and to whom a second consecutive sample was requested were included.

Participants/materials, setting, methods

118 patients who underwent 140 IUI cycles were included in the study. All the patients with an PMSC under 1 million at the time of the IUI were requested a second consecutive semen sample within an hour or two from the previous eyaculate. The second samples were processed and used for insemination. The primary outcome was pregnancy rate. The secondary outcomes were semen quality (TPMSC of first and second semen samples).

Main results and the role of chance

Between 2015 and 2021 there were 140 IUI cycles in which a second consecutive semen sample was requested, including 118 patients. Overall 17 pregnancies were achieved. The pregnancy rate per cycle was 12,14% and the pregnancy rate per patient was 14,4%. The live birth rate per patient was 10,2%.

Regarding the sperm sample analysis, the median TPMSC of the first semen sample was 261.437. The median PMSC of the second consecutive sample was 7.315.000. 126 patients had an TPMSC of 0 in the first semen sample while only 9 patients had an IMSC of 0 in the second sample. In five cases a third consecutive sample was requested of which 4 patients had their cycles canceled because they did not meet the target PMSC. One patient had an TPMSC of 1.687.000 in the third sample.

Finally, of the 118 patients who did not meet the requirements for IUI with the first sample, only 19 cycles were canceled.

Limitations, reasons for caution

The study has the limitation of being a retrospective and descriptive study with no contol group. Also the group is heterogeneous because it includes patients with different female factors for infertility.

Wider implications of the findings

In developing countries and low-income settings the IUI remains a more accessible alternative in patients with infertility. Routinely recollecting a second semen sample in men with TPMSC <1 million would reduce cycle cancellation rates due to not achieving an optimal TPMSC, reaching pregnancy rates similar to those published for IUI.

Trial registration number

Not applicable

AB0231 PROGNOSTIC UTILITY OF METACARPAL BONE MINERAL DENSITY MEASUREMENT IN PATIENTS WITH RECENT-ONSET ARTHRITIS BY ASSESSMENT OF RADIOGRAPHIC PROGRESSION AT 2-YEAR FOLLOW-UP

Background

Rheumatoid arthritis (RA) and osteoporosis (OP) have a complex interplay in terms of pathogenic mechanisms. In this regard, radiogrammetry (DXR) of the hand, a technique that measures the bone mineral density (BMD) at the central metacarpals (MC), is associated with a worse prognosis in patients with RA (1). However, DXR is an expensive technique, and not very accessible in our environment. Our group demonstrated an excellent reproducibility of the MC measurement by DXA (2) and good correlation between BMD measurements obtained by DXR and DXA (3).

Objectives

To evaluate if baseline BMD of the non dominant MC measured by DXA can be used as a prognostic marker, resembling DXR, in patients with early arthritis (EA).

Methods

A total of 378 subjects from the PEARL (Princesa Early Arthritis Register Longitudinal) study underwent DXA measurement of the 2nd to 4th MC’s diaphyseal area of the non dominant hand (Hologic 4500). In PEARL sociodemographic, clinical and laboratory parameters, therapeutic data and radiographic findings are collected by protocol. Radiographic progression was evaluated in hands by a blind expert rheumatologist assessing the erosion scale of modified SvdH index in both the baseline and two year follow-up visit. To study the predictive value of MC baseline BMD by DXA, two multivariate models were fitted using generalized linear models with Stata 14.0 for Windows (Stata Corp LP, College Station, TX, USA). The dependent variables were remission (SDAI<3.3) and radiographic progression after two 2 years of follow-up. Both models were adjusted by the classic variables that affect BMD such as age, sex and body mass index (BMI), cumulative DMARD treatment and baseline disease activity for the remission model.

Results

After adjustment by age, sex and BMI: a) those patients at remission tended to show higher baseline MC’s BMD by DXA (p=0.328); and b) those patients with higher radiographic progression had significantly lower baseline MC’s BMD as shown in Figure 1(p=0.001).

Conclusion

In our registry of patients with EA, we have detected that a lower basal BMD in the diaphysis of the central MC bones, assessed by DXA, is associated with greater radiographic progression at 2 years of follow-up after adjusting for the main factors influencing BMD. Therefore, we could conclude that a low initial bone mass could constitute a poor prognostic factor in patients with EA.

Figure 1.

Correlation of mean BMD of 2-4th MC bones with radiographyc progression assesed by the modified SvdH radiological index at 2 years, after adjusting for age, sex and BMI, calculated using Stata margins command base don the data obtained from multivariate analysis.

References

[1]Haugeberg G, Lodder MC, Lems WF, Uhlig T, Ørstavik RE, Dijkmans B a. C, et al. Ann Rheum Dis october 2004;63(10):1331-4.

[2]Llorente I, Merino L, Escolano E, Quintanilla DM, García-Vadillo JA, González- Álvaro I, et al. C Clin J Densitom 2020;23(4):678-84

[3]Ann Rheum Dis, volumen 78, supplement 2, year 2019, page A942

Disclosure of Interests

Irene Llorente Speakers bureau: UCB, Jannsen, Lilly, Gedeon Richter, Ana Ortiz: None declared, ANA MARIA FERNANDEZ ORTIZ: None declared, Alberto García-Vadillo: None declared, José Ivorra: None declared, Luis Rodriguez Rodriguez: None declared, Rosario Garcia-Vicuna: None declared, Santos Castañeda: None declared, Isidoro González-Álvaro: None declared

Child psychiatric emergency visits during the COVID-19 pandemic

Introduction

Paediatric and adult psychiatric emergency department (ED) visits decreased during the initial COVID-19 pandemic outbreak. Long-term consequences of the pandemic will include increases in mental healthcare needs especially among especially vulnerable groups such as children and adolescents.

Objectives

This study examined changes in the number of overall and diagnosis-specific mental health ED visits among patients aged <18 years following onset of the COVID-19 pandemic in Madrid, Spain.

Methods

We used electronic health records to extract the monthly numbers of total and diagnosis-specific mental health ED visits among patients aged <18 years, between October 2018 and April 2021, to La Paz University Hospital. We conducted interrupted time-series analyses and compared trends before and after the day of the first ED COVID-19 case (1^st March 2020).

Results

In March 2020, there was a marked initial decrease of -12.8 (95%CI -21.9, -7.9) less monthly mental health ED visits. After April 2020, there was a subsequent increasing trend of 3.4 (95%CI 2.6, 4.2) additional monthly mental health ED visits.

Conclusions

After onset of the COVID-19 pandemic, there was an increase in paediatric psychiatric ED visits, especially due to suicide-related reasons. These data reinforce the crucial role of the ED in the management of acute mental health problems among youth and highlight the need for renovated efforts to enhance access to care outside of and during acute crises during the pandemic and its aftermath.

Disclosure

No significant relationships.

Global diagnosis of nitrate pollution in groundwater and review of removal technologies

Clean water and sanitation for the world population is one of the most important challenges established by the Sustainable Development Goals of the United Nations since worldwide, one in three people do not have access to safe drinking water. Groundwater, one of the main sources of fresh water, has been considerably damaged by human activities. Nevertheless, while numerous plants are globally aimed at removing pollutants from surface waters, a much scarcer number of facilities have focused on groundwater remediation. Nowadays, there is increasing concern about the presence of nitrates (NO₃^-) in groundwaters as a consequence of the intensive use of fertilizers and other anthropogenic sources, such as sewage or industrial wastewater discharge. In this context, the selection and development of highly effective and low-cost solutions for the sustainable management of groundwater resources need to be addressed. Thus, this work collects data from the literature regarding the presence of nitrates in groundwater, and, simultaneously, it reviews the main alternatives available to remove NO₃^- from groundwater sources. A total of 292 sites have been analyzed categorized by continents, carefully discussing the possible origins of nitrate pollution. In addition, a discussion is carried out of the different technologies currently employed to treat groundwater, highlighting the progress made and the main challenges to be overcome. Finally, the review gathers the data available in the literature for nitrate treatment plants at full-scale.

Tiled Sparse Coding in Eigenspaces for Image Classification

The automation in the diagnosis of medical images is currently a challenging task. The use of Computer Aided Diagnosis (CAD) systems can be a powerful tool for clinicians, especially in situations when hospitals are overflowed. These tools are usually based on artificial intelligence (AI), a field that has been recently revolutionized by deep learning approaches. blackThese alternatives usually obtain a large performance based on complex solutions, leading to a high computational cost and the need of having large databases. In this work, we propose a classification framework based on sparse coding. Images are blackfirst partitioned into different tiles, and a dictionary is built after applying PCA to these tiles. The original signals are then transformed as a linear combination of the elements of the dictionary. blackThen, they are reconstructed by iteratively deactivating the elements associated with each component. Classification is finally performed employing as features the subsequent reconstruction errors. Performance is evaluated in a real context where distinguishing between four different pathologies: control versus bacterial pneumonia versus viral pneumonia versus COVID-19. blackOur system differentiates between pneumonia patients and controls with an accuracy of 97.74%, whereas in the 4-class context the accuracy is 86.73%. The excellent results and the pioneering use of sparse coding in this scenario evidence that our proposal can assist clinicians when their workload is high.

A prototype of pCT scanner: first tests

Proton therapy technique for cancer treatment offers a high selectivity with respect to conventional radiotherapy with X- and γ-rays due to the properties of the interaction of protons with matter. Very accurate and precise treatment plans and a good control on the dose deposition are required to exploit the full potential of the technique. The substitution of the currently used X-ray Computed Tomography (xCT) by proton Computed Tomography (pCT) in the design of treatment plans would allow for a reduction in proton range uncertainties. This would make possible an important improvement in the accuracy and precision of treatment plans. With this aim, a prototype of pCT scanner is under study. It includes two tracking detectors which provide information on the proton trajectories and a residual energy detector to determine the energy loss while traversing the object scanned. A proof-of-concept experiment has been performed using low-energy protons and a simplified prototype with only the two tracking detectors. The results obtained in the measurement are presented and discussed.

Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis

Objective Dyslexia diagnosis is a challenging task, since traditional diagnosis methods are not based on biological markers but on behavioural tests. Although dyslexia diagnosis has been addressed by these tests in clinical practice, it is difficult to extract information about the brain processes involved in the different tasks and, then, to go deeper into its biological basis. Thus, the use of biomarkers can contribute not only to the diagnosis but also to a better understanding of specific learning disorders such as dyslexia. In this work, we use Electroencephalography (EEG) signals to discover differences among controls and dyslexic subjects using signal processing and artificial intelligence techniques. Specifically, we measure phase synchronization among channels, to reveal the functional brain network activated during auditory processing. On the other hand, to explore synchronicity patterns risen by low-level auditory processing, we used specific stimuli consisting in band-limited white noise, modulated in amplitude at different frequencies. The differential information contained in the functional (i.e., synchronization) network has been processed by an anomaly detection system that addresses the problem of subjects variability by an outlier-detection method based on vector quantization. The results, obtained for 7 years-old children, show that the proposed method constitutes an useful tool for clinical use, with the area under ROC curve (AUC) values up to 0.95 in differential diagnosis tasks.

Corn kernel hardness, drying temperature and amylase supplementation affect live performance and nutrient utilization of broilers

Drying temperature (DT) of corn can influence its nutritional quality, but whether this is influenced by endosperm hardness is not clear. Two parallel experiments were conducted to investigate the effects of 2 yellow dent corn hybrids with average and hard kernel hardness, dried at 3 temperatures (35, 80, and 120°C), and 2 supplementation levels of an exogenous amylase (0, 133 g/ton of feed) on live performance, starch and protein digestibility, and energy utilization of Ross 708 male broilers. Twelve dietary treatments consisting of a 2 × 3 × 2 factorial arrangement were evaluated using 3-way ANOVA in a randomized complete block design. In Experiment 1, a total of 1,920 male-chicks were randomly allocated to 96 floor pens, whereas 480 day-old chicks were distributed among 96 cages for Experiment 2. At 40 d, interaction effects (P < 0.05) were detected on BWG, FCR, and flock uniformity. Supplementation with exogenous amylase resulted in heavier broilers, better FCR and flock uniformity, only in the diets based on corn dried at 35°C. Additionally, interaction effects were observed on FCR due to kernel hardness and DT (P < 0.01), kernel hardness and amylase supplementation (P < 0.001), and DT and amylase supplementation (P < 0.05). Exogenous amylase addition to the diets based on corn with an average hardness improved FCR up to 2 points (1.49 vs. 1.51 g:g) whereas there was no effect of amylase on FCR of broilers fed diets based on corn with hard endosperm. Total tract retention of starch was increased (P < 0.05) in broilers fed diets based on corn with average kernel hardness compared to hard kernel. Corn dried at 80 and 120°C had up to 1.21% points less starch total tract retention than the one dried at 35°C. Supplementing alpha-amylase resulted in beneficial effects for broiler live performance, energy utilization, and starch total tract digestibility results. Treatment effects on starch characteristics were explored. Corn endosperm hardness, DT and exogenous amylase can influence the live performance of broilers. However, these factors are not independent and so must be manipulated strategically to improve broiler performance.

Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining

The COVID-19 pandemic has wreaked havoc in every country in the world, with serious health-related, economic, and social consequences. Since its outbreak in March 2020, many researchers from different fields have joined forces to provide a wide range of solutions, and the support for this work from artificial intelligence (AI) and other emerging concepts linked to intelligent data analysis has been decisive. The enormous amount of research and the high number of publications during this period makes it difficult to obtain an overall view of the different applications of AI to the management of COVID-19 and an understanding of how research in this field has been evolving. Therefore, in this paper, we carry out a scientometric analysis of this area supported by text mining, including a review of 18,955 publications related to AI and COVID-19 from the Scopus database from March 2020 to June 2021 inclusive. For this purpose, we used VOSviewer software, which was developed by researchers at Leiden University in the Netherlands. This allowed us to examine the exponential growth in research on this issue and its distribution by country, and to highlight the clear hegemony of the United States (USA) and China in this respect. We used an automatic process to extract topics of research interest and observed that the most important current lines of research focused on patient-based solutions. We also identified the most relevant journals in terms of the COVID-19 pandemic, demonstrated the growing value of open-access publication, and highlighted the most influential authors by means of an analysis of citations and co-citations. This study provides an overview of the current status of research on the application of AI to the pandemic.

Performance and carcass quality traits of Iberian × Duroc crossbred pig subject to gender and age at the beginning of the free-range finishing phase

The traditional production of the Iberian breed pig involves a long production cycle. It might be shortened by using Iberian pigs crossed with Duroc and by reducing the growing phase, but the age-related changes on productive performance and carcass quality should be addressed. Thus, productive performance, live measurements and carcass and primal cut traits were evaluated on Iberian × Duroc 50:50 crossed pigs according to animal age at the beginning of the free-range finishing phase (Montanera): 10, 12 and 14 months old (IBxD10 (n = 15), IBxD12 (n = 17) and IBxD14 (n = 18) animal batches, respectively) and gender (immunologically castrated female -consisted of the Improvac® vaccination- and surgically castrated males). During the growing period, animals were fed with restrictions; 1.49, 1.29 and 1.20 ± 0.023 (mean ± SEM) kg/day of commercial feeds to start Montanera with similar BW; 103.9, 102.9 and 102.1 ± 0.22 kg, for IBxD10, IBxD12 and IBxD14, respectively. IBxD14 animals yielded the highest average daily gain (ADG) and BW after Montanera, as well as larger rump height and croup width. In contrast, these animals had the lowest carcass yield. Although animals from IBxD10 yielded hams of inferior size, this could be of interest to the sector, as there is a certain segment of the market that demands hams of smaller size and, generally, this is difficult to obtain with the traditional Montanera production system. The gender had no major effects on performance and carcass and primal cut traits, so both immunologically castrated female and surgically castrated males are suitable for finishing in Montanera.

Characterizing two outbreak waves of COVID-19 in Spain using phenomenological epidemic modelling

Since the first case reported of SARS-CoV-2 the end of December 2019 in China, the number of cases quickly climbed following an exponential growth trend, demonstrating that a global pandemic is possible. As of December 3, 2020, the total number of cases reported are around 65,527,000 contagions worldwide, and 1,524,000 deaths affecting 218 countries and territories. In this scenario, Spain is one of the countries that has suffered in a hard way, the ongoing epidemic caused by the novel coronavirus SARS-CoV-2, namely COVID-19 disease. In this paper, we present the utilization of phenomenological epidemic models to characterize the two first outbreak waves of COVID-19 in Spain. The study is driven using a two-step phenomenological epidemic approach. First, we use a simple generalized growth model to fit the main parameters at the early epidemic phase; later, we apply our previous finding over a logistic growth model to that characterize both waves completely. The results show that even in the absence of accurate data series, it is possible to characterize the curves of case incidence, and construct a short-term forecast of 60 days in the near time horizon, in relation to the expected total duration of the pandemic.

AB0214 SURVIVAL, EFFICACY AND SAFETY OF GOLIMUMAB IN PATIENTS WITH RHEUMATOID ARTHRITIS AND SPONDYLOARTHRITIS: DATA FROM AN ARGENTINEAN COHORT

Background:

Golimumab is a human monoclonal antibody directed against TNFα in its soluble and transmembrane forms. It can be used subcutaneously or intravenously and has shown efficacy for use in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA) and ankylosing spondylitis (AS).

Objectives:

The aim of this study was to evaluate the efficacy, safety, and cumulative survival of golimumab in patients with RA, PsA and AS from different rheumatology centers in Argentina.

Methods:

We performed a longitudinal study of consecutive adults with RA (ACR/EULAR 2010 criteria), PsA (CASPAR criteria) and AS (ASAS 2009 criteria), who have started treatment with subcutaneous or intravenous golimumab according to medical indication in each center. Data was obtained by review of medical records. Sociodemographic and clinical data, musculoskeletal manifestations, comorbidities, previous treatments were recorded. In reference to golimumab treatment, start date, route of administration and concomitant treatments were identified. Disease activity was assessed using DAS28 for RA patients, DAPSA and MDA for PsA and BASDAI for AS. The presence of adverse events (AE) was recorded. If golimumab was stopped, date and cause was documented. Patients were followed up until golimumab discontinuation, loss of follow-up, or study completion (November 30, 2020). Statistical analysis: Chi2 test or Fischer exact test and T test or Mann Whitney and ANOVA or Kruskal Wallis, as appropriate. The incidence of EA was assessed in events every 100 patient/year. Kaplan-Meier curves and log Rank analysis. Cox proportional regression.

Results:

One hundred eighty two patients were included, 116 with a diagnosis of RA, 30 with PsA and 36 with AS. Most of them (70.9%) were female with a median (m) age of 55 years (IQR 43.8-64) and m disease duration of 7 years (IQR 4-12.7) at treatment initiation. Al least one prior biological DMARD or a small molecule was received by 63 patients (34.6%). The most frequent indication cause was conventional DMARD failure. In 94.8% of the patients Golimumab was administered subcutaneously, and in 80.8% in association with conventional DMARDs, the most frequently used was methotrexate. Total follow-up was 318.1 patients/year.

Golimumab treatment showed clinical improvement in all three groups of patients. In RA patients DAS28 significantly decreased during the first 12 months of follow-up, m 5.9 (IQR 4.9-6.6) at baseline, 3.8 (IQR 2.6-4.6) at 6 months and 2.8 (IQR 2.1-3.6) at 12 months, p <0.0001. In PsA, m DAPSA-ESR value was 32.2 (IQR 24.2-47.7), 10.1 (IQR 5.8-18.3) and 11.2 (IQR 3.4-24) at baseline, 6 and 12 months, respectably (p <0.0001). In AS, m BASDAI was 6.2 (IQR 4.8-7.3), 2.8 (IQR 1.7-4.1) and 2.2 (IQR 1.1-3.2), at baseline, 6 and 12 months respectively (p <0.0001).

The incidence of adverse events was 6.6 per 100 patients/year, being infections the most frequents ones. During follow-up, 50 patients (27.5%) discontinued golimumab, the most frequent cause was treatment failure (68%), followed by lack of health insurance (16%) and adverse events (10%). Golimumab persistence was 79% and 57.6% at 12 and 24 months, respectively. Treatment survival was 50.2 months (95% CI 44.4-55.9). Patients who had received prior treatment with biological DMARDs or small molecules showed lower survival (Figure 1). In the multivariate analysis, adjusting for age, sex and disease duration, those patients showed twice the risk of suspending treatment (HR 2.01, 95% CI 1.1-3.7).

Figure 1.

Golimumab survival according to prior b-DMARD o small molecule treatment.

Conclusion:

Golimumab treatment in real life patients in Argentina has shown good efficacy and safety. Drug survival was over 4 years and almost 80% were still using golimumab after one year. Prior treatment with other b-DMARDs o small molecules was associated with lower treatment survival.

Disclosure of Interests:

Carolina Ayelen Isnardi Speakers bureau: Bristol Myers Squibb, Janssen, Grant/research support from: Pfizer, Emma Estela Civit De Garignani Speakers bureau: Abbvie, Novartis, Agustín García Ciccarelli Speakers bureau: Janssen, Novartis, Consultant of: Novartis, Grant/research support from: Janssen, Novartis, Jimena Sanchez Alcover: None declared, Rodrigo Garcia Salinas Speakers bureau: Abbvie, AMGEN, Bristol-Myers Squibb, Eli Lilly, GSK, Janssen Cilag, Montpellier-UCB, Novartis, Roche – Genentech, Sanofi, Merck Serono., Sebastian Magri Speakers bureau: Abbvie, AMGEN, Bristol-Myers Squibb, Eli Lilly, GSK, Janssen Cilag, Montpellier-UCB, Novartis, Roche – Genentech, Sanofi, Merck Serono., Eduardo Albiero Consultant of: Janssen, Carla Gobbi Speakers bureau: Pfizer, Consultant of: Pfizer, Janssen, Edson Velozo Speakers bureau: Janssen, Novartis, Pfizer, Consultant of: Abbvie, Janssen, Novartis, Grant/research support from: Janssen, Novartis, Pfizer, Enrique Soriano Speakers bureau: AbbVie, Novartis, Bristol MS, Novartis, Eli Lilly, Genzyme, Pfizer, Amgen, and Roche, Consultant of: Novartis, AbbVie, Pfizer, Eli Lilly, Sanofi, Sandoz, Amgen., Grant/research support from: Roche, Novartis, AbbVie, Glaxo Smith Kline, BMS, Martín Brom: None declared, Johana Zacariaz Grant/research support from: Bristol Myers Squibb, Ingrid Strusberg Speakers bureau: Gema Biotech SAU, BMS, Abbvie, Consultant of: Gema Biotech SAU, Abbvie, Janssen, Grant/research support from: Abbvie, Lilly, Galápagos, Servier, GSK, Merck Serono, Marcos BARAVALLE Speakers bureau: Montepellier, Consultant of: Abbvie, Janssen, Grant/research support from: Abbvie, Lilly, Galápagos, Servier, GSK, Merck Serono, Sol Castaños Speakers bureau: Abbvie, Lilly, Galápagos, Servier, GSK, Merck Serono, Liliana Morales Speakers bureau: Lilly, Consultant of: Janssen, Grant/research support from: Abbvie, Lilly, Galápagos, Servier, GSK, Merck Serono, Sergio Paira: None declared, Romina Calvo: None declared, Alberto Ortiz: None declared, Rodolfo Perez Alamino Speakers bureau: Pfizer, Abbvie, Amgen, Bristol-Myers-Squibb, Lilly, Janssen, Novartis, Hernan Maldonado Ficco Speakers bureau: Pfizer, Abbvie, Jansen, Novartis, Bago, Bristol, Eli Lilly., Consultant of: Pfizer, Abbvie, Novartis, Jansen, Bago, Eli Lilly., Gustavo Citera Speakers bureau: Abbvie, BMS, Lilly, Jansen, Gema, Pfizer, Roche, Grant/research support from: Pfizer

Higher illness burden is associated with reduced heart rate variability in bipolar disorder

Introduction

Bipolar disorder (BD) is associated with premature death and ischemic heart disease is the main cause of excess mortality. The predictive power of heart rate variability (HRV) for mortality has been confirmed in patients with or without cardiovascular disease. While several studies have analyzed the association between HRV and BD, their results are incongruent; and none has analyzed the effect of the clinical factors characterizing illness burden on HRV.

Objectives

To assess the association between HRV and the following factors characterizing illness burden: illness duration, number and type of previous episode(s), duration of the most severe depressive or hypomanic/manic episode, severity of episodes, co-morbid psychiatric disorders, family history of BD or suicide, and duration and polarity of current episode in participants experiencing one.

Methods

We used a wearable device in 53 BD participants to assess the association between HRV using 4 measures (RMSSD, SDANN, SDNN and RR Triangular Index) and the abovementioned clinical factors characterizing illness burden. For each of the 4 HRV measures we ran 11 models, one for each burden of illness clinical factor as an independent variable.

Results

Longer illness duration, higher number of depressive episodes, and family history of suicide were negatively correlated with HRV; in the 14 participants experiencing a depressive episode, the MADRS score was negatively correlated with HRV

Conclusions

Our study analyzed the association between burden of illness and HRV in BD, while controlling for functional cardiovascular status, age, sex, BMI, education, and treatment. Our results showed that high illness burden is associated with reduced HRV.

Disclosure

No significant relationships.

Standardising clinical outcomes measures for adult clinical trials in Fabry disease: A global Delphi consensus

BACKGROUND

Recent years have witnessed a considerable increase in clinical trials of new investigational agents for Fabry disease (FD). Several trials investigating different agents are currently in progress; however, lack of standardisation results in challenges to interpretation and comparison. To facilitate the standardisation of investigational programs, we have developed a common framework for future clinical trials in FD.

METHODS AND FINDINGS

A broad consensus regarding clinical outcomes and ways to measure them was obtained via the Delphi methodology. 35 FD clinical experts from 4 continents, representing 3389 FD patients, participated in 3 rounds of Delphi procedure. The aim was to reach a consensus regarding clinical trial design, best treatment comparator, clinical outcomes, measurement of those clinical outcomes and inclusion and exclusion criteria. Consensus results of this initiative included: the selection of the adaptative clinical trial as the ideal study design and agalsidase beta as ideal comparator treatment due to its longstanding use in FD. Renal and cardiac outcomes, such as glomerular filtration rate, proteinuria and left ventricular mass index, were prioritised, whereas neurological outcomes including cerebrovascular and white matter lesions were dismissed as a primary or secondary outcome measure. Besides, there was a consensus regarding the importance of patient-related outcomes such as general quality of life, pain, and gastrointestinal symptoms. Also, unity about lysoGb3 and Gb3 tissue deposits as useful surrogate markers of the disease was obtained. The group recognised that cardiac T1 mapping still has potential but requires further development before its widespread introduction in clinical trials. Finally, patients with end-stage renal disease or renal transplant should be excluded unless a particular group for them is created inside the clinical trial.

CONCLUSION

This consensus will help to shape the future of clinical trials in FD. We note that the FDA has, coincidentally, recently published draft guidelines on clinical trials in FD and welcome this contribution.

Physico-chemical and sensory characterization of sliced Iberian chorizo from raw material of three commercial categories and stability during refrigerated storage packaged under vacuum and modified atmospheres

Physico-chemical and sensory analysis of Iberian chorizo manufactured from three commercial categories raw material compiled in the current Spanish Iberian Quality standard (Black, Red; 100% Iberian and 50% Iberian × Duroc pigs, respectively, under Montanera, and White; 50% Iberian × Duroc pigs commercially fed) and packed under vacuum and modified atmosphere (MAP) were carried out, in order to address the influence of the genotype and animal production system and packaging on quality parameters, as well as the stability of these throughout long-term storage. Montanera categories showed higher values of γ-tocopherol, mono- and poly-unsaturated fatty acids, greater scores of flavour and taste and higher lipid oxidation during the whole storage. MAP preserved better colour, especially redness and lipid oxidative status. Iberian chorizo could attain a differentiated quality because of physico-chemical and sensorial characteristics derived from the Montanera that would be adequate preserved in both vacuum and MAP throughout long-term storage.

Corn drying temperature, particle size, and amylase supplementation influence growth performance, digestive tract development, and nutrient utilization of broilers

Broiler live performance may be influenced by postharvest corn drying temperature, and results could depend on particle size after grinding. The supplementation with an exogenous amylase may improve performance parameters, but responses to enzymes are also affected by particle size. Two parallel experiments were conducted to evaluate the effects of hard-kernel corn dried at 2 temperatures (35°C and 120°C), ground at 2 particle sizes (coarse or fine), and 3 supplementation levels (0, 133, and 266 g ton-1) of an exogenous amylase on live performance, gastrointestinal organ development, energy utilization, and nutrient digestibility. Twelve dietary treatments resulting from a 2 × 2 × 3 factorial arrangement of drying temperature, particle size, and amylase supplementation were evaluated in both experiments. A total of 1,920 day-old male chicks were randomly allocated to 96 floor pens, while 480 chicks were distributed among 4 battery brooder units. Ileal and fecal samples were collected to determine energy utilization and nutrient digestibility using titanium dioxide as inert marker. At 42 D, organs were collected, and relative weight or length was determined. Data were analyzed using a three-way ANOVA in a randomized complete block design. Feeding fine corn-based diets showed improvements on live performance for both studies. At 40 D, supplementing 266 g ton-1 of amylase improved feed conversion ratio (P < 0.05) by 1 point compared to chickens that consumed nonsupplemented diets and feed with amylase at 133 g ton-1. Broilers fed coarse corn-based diets had heavier gizzard (P < 0.001) and liver (P < 0.05) than chickens that consumed fine corn-based diets. In addition, starch digestibility was improved by amylase (P < 0.05) at 133 g ton-1 and by feeding coarse corn-based diets (P = 0.06). For chicks raised in cages (16 D), AMEn was increased (P < 0.01) by amylase supplementation regardless of its inclusion level. In conclusion, drying temperature and particle size interactions influenced broiler live performance, gastrointestinal organ development, nutrient digestibility, and energy utilization, and these parameters were improved by supplementing amylase.

Renin-angiotensin system and cancer: epidemiology, cell signaling, genetics and epigenetics

Day by day, the health and economical burden of cancer increases globally. Indeed it can be considered that there is ''cancer pandemic''. Blocking the renin-angiotensin system (RAS) by angiotensin-converting enzyme (ACE) inhibitors (ACEI) or angiotensin-receptor blockers (ARB) are widely used measures to treat hypertension and heart failure. It has been recently suggested the activation and blocking of RAS has been associated with various types of cancer in epidemiological and experimental studies. Various studies have shown that RAS blockage is protective in some cancers. However, although fewer, contradictory data also showed that RAS blockage is either not related or adversely related to cancer. Although the reasons for these findings are not exactly known, different types of receptors and effectors in RAS may account for these findings. In the current review, we summarize the different RAS receptors and cancer development with regard to epidemiology, and pathogenesis including cell signaling pathways, apoptosis, genetic and epigenetic factors.

Blood Meal Sources of Anopheles spp. in Malaria Endemic Areas of Honduras

Malaria remains a life-threatening disease in many tropical countries. Honduras has successfully reduced malaria transmission as different control methods have been applied, focusing mainly on indoor mosquitoes. The selective pressure exerted by the use of insecticides inside the households could modify the feeding behavior of the mosquitoes, forcing them to search for available animal hosts outside the houses. These animal hosts in the peridomicile could consequently become an important factor in maintaining vector populations in endemic areas. Herein, we investigated the blood meal sources and Plasmodium spp. infection on anophelines collected outdoors in endemic areas of Honduras. Individual PCR reactions with species-specific primers were used to detect five feeding sources on 181 visibly engorged mosquitoes. In addition, a subset of these mosquitoes was chosen for pathogen analysis by a nested PCR approach. Most mosquitoes fed on multiple hosts (2 to 4), and 24.9% of mosquitoes had fed on a single host, animal or human. Chicken and bovine were the most frequent blood meal sources (29.5% and 27.5%, respectively). The average human blood index (HBI) was 22.1%. None of the mosquitoes were found to be infected with Plasmodium spp. Our results show the opportunistic and zoophilic behavior of Anopheles mosquitoes in Honduras.

Distribution and phylogenetic diversity of Anopheles species in malaria endemic areas of Honduras in an elimination setting

Background

Anopheles mosquitoes are the vectors of malaria, one of the most important infectious diseases in the tropics. More than 500 Anopheles species have been described worldwide, and more than 30 are considered a public health problem. In Honduras, information on the distribution of Anopheles spp. and its genetic diversity is scarce. This study aimed to describe the distribution and genetic diversity of Anopheles mosquitoes in Honduras.

Methods

Mosquitoes were captured in 8 locations in 5 malaria endemic departments during 2019. Two collection methods were used. Adult anophelines were captured outdoors using CDC light traps and by aspiration of mosquitoes at rest. Morphological identification was performed using taxonomic keys. Genetic analyses included the sequencing of a partial region of the cytochrome c oxidase 1 gene (cox1) and the ribosomal internal transcribed spacer 2 (ITS2).

Results

A total of 1320 anophelines were collected and identified through morphological keys. Seven Anopheles species were identified. Anopheles albimanus was the most widespread and abundant species (74.02%). To confirm the morphological identification of the specimens, 175 and 122 sequences were obtained for cox1 and ITS2, respectively. Both markers confirmed the morphological identification. cox1 showed a greater nucleotide diversity than ITS2 in all species. High genetic diversity was observed within the populations of An. albimanus while An. darlingi proved to be a highly homogeneous population. Phylogenetic analyses revealed clustering patterns in An. darlingi and An. neivai in relation to specimens from South America. New sequences for An. crucians, An. vestitipennis and An. neivai are reported in this study.

Conclusions

Here we report the distribution and genetic diversity of Anopheles species in endemic areas of malaria transmission in Honduras. According to our results, both taxonomic and molecular approaches are useful tools in the identification of anopheline mosquitoes. However, both molecular markers differ in their ability to detect intraspecific genetic diversity. These results provide supporting data for a better understanding of the distribution of malaria vectors in Honduras.

Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off

Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome recording processes. In these conditions, powerful machine learning techniques are essential to deal with the large amount of information and overcome the curse of dimensionality. Artificial Neural Networks (ANNs) have achieved promising performance in EEG-based Brain-Computer Interface (BCI) applications, but they involve computationally intensive training algorithms and hyperparameter optimization methods. Thus, an awareness of the quality-cost trade-off, although usually overlooked, is highly beneficial. In this paper, we apply a hyperparameter optimization procedure based on Genetic Algorithms to Convolutional Neural Networks (CNNs), Feed-Forward Neural Networks (FFNNs), and Recurrent Neural Networks (RNNs), all of them purposely shallow. We compare their relative quality and energy-time cost, but we also analyze the variability in the structural complexity of networks of the same type with similar accuracies. The experimental results show that the optimization procedure improves accuracy in all models, and that CNN models with only one hidden convolutional layer can equal or slightly outperform a 6-layer Deep Belief Network. FFNN and RNN were not able to reach the same quality, although the cost was significantly lower. The results also highlight the fact that size within the same type of network is not necessarily correlated with accuracy, as smaller models can and do match, or even surpass, bigger ones in performance. In this regard, overfitting is likely a contributing factor since deep learning approaches struggle with limited training examples.

Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach

Diagnosis of learning difficulties is a challenging goal. There are huge number of factors involved in the evaluation procedure that present high variance among the population with the same difficulty. Diagnosis is usually performed by scoring subjects according to results obtained in different neuropsychological (performance-based) tests specifically designed to this end. One of the most frequent disorders is developmental dyslexia (DD), a specific difficulty in the acquisition of reading skills not related to mental age or inadequate schooling. Its prevalence is estimated between 5% and 12% of the population. Traditional tests for DD diagnosis aim to measure different behavioral variables involved in the reading process. In this paper, we propose a diagnostic method not based on behavioral variables but on involuntary neurophysiological responses to different auditory stimuli. The experiments performed use electroencephalography (EEG) signals to analyze the temporal behavior and the spectral content of the signal acquired from each electrode to extract relevant (temporal and spectral) features. Moreover, the relationship of the features extracted among electrodes allows to infer a connectivity-like model showing brain areas that process auditory stimuli in a synchronized way. Then an anomaly detection system based on the reconstruction residuals of an autoencoder using these features has been proposed. Hence, classification is performed by the proposed system based on the differences in the resulting connectivity models that have demonstrated to be a useful tool for differential diagnosis of DD as well as a method to step towards gaining a better knowledge of the brain processes involved in DD. The results corroborate that nonspeech stimulus modulated at specific frequencies related to the sampling processes developed in the brain to capture rhymes, syllables and phonemes produces effects in specific frequency bands that differentiate between controls and DD subjects. The proposed method showed relatively high sensitivity above 0.6, and up to 0.9 in some of the experiments.

AB1339-HPR SAFETY AND ADHERENCE OF THE JAK INHIBITORS IN CLINICAL PRACTICE IN RHEUMATOID ARTHRITIS

Background:

The Janus Kinase (JAKi) inhibitors Baricitinib (BAR) and Tofacitinib (TOF) are indicated for moderate to severe active rheumatoid arthritis (RA). Data about safety, effectiveness in refractory patients and adherence in real clinical practice in our population are scarce.

Objectives:

An evaluation of safety, adherence and reasons to consider suspension of JAKi in routine clinical practice.

Methods:

Retrospective observational study of patients with RA treated with BAR and TOF according to usual clinical practice between September 2017 - December 2019. Data were collected from the electronic medical record and from the Dominion® Outpatient Drug Dispensing program.

Demographic, clinical, laboratory and treatment-related variables were collected, including reasons for discontinuing JAKi (inefficiency and toxicity). Adherence was calculated using the Compliance Questionnaire on Rheumatology (CQR-5), and the average possession ratio (RMP), which is defined as the number of days with treatment dispensed between the total days of the period analyzed, considering the adherent patient when RMP had a ≥ 0.8.

Laboratory abnormalities were defined according to normal limit values (NLV) and specifications of data sheet. A descriptive analysis was performed using proportions, medians and interquartile ranges (IQR) using the SPSS v.15 program.

Results:

Thirty patients were included in treatment with BAR and nine with TOF. The median age was 62.9 (RIQ 49.9-74.4), 34 (87.2%) were women, 28 (71.2%) anti-CCP and 32 (82.1%) were rheumatoid factor positive, with erosive disease in 34 (87,2%) patients. In the previous treatment, 9 (23.1%) were naive to biological, 6 (15.4%) had received 1 biological, 18 (46.1%) 2 biologicals, and 6 (15.4%) ≥ 3 biologicals. The median treatment time was 8.4 months (RIQ 6.5-20.3) in BAR and 13.2 (RIQ 3.9-20.7) in TOF.

The reasons for consider suspension shown in Table 1.

Table 1.

Treatment Discontinuation

BARICITINIBInitial DAS28[median (IQR)]Final DAS28[median (IQR)]Continue treatmentn (%): 17/30 (55.6)4.20 (2.95-5.72)2.60 (1.70-2.77)Reasons for suspension-Refractory n (%): 7/13 (55.8%)4.38 (4.16-5.43)4,16 (3.56-5.23)-Side effects n (%): 4/13 (30.7)4.16 (3.45-4.84)3.15 (2.69-4.41) ◦Thrombocytosis (1) ◦Herpes Zoster (1) ◦Anemia (1) ◦Tubaritis (1)-Patient decisión n (%): 2/13 (15.4)TOFACITINIBContinue treatmentn (%): 6/9 (66.6)4.82 (3.28-6.20)2.61 (2.45-3.70)Reasons for suspension-Refractory n (%): 2/3 (66.6)5.27 (5.23-5.31)5.48 (5.04-5.92)-Side effects n (%): 1/3 (33.33)

Based on the CQR5 questionnaire, all patients treated with BAR and TOF were adherent “HIGH” class, and a median of RMP = 1.01 (IQR = 0.93-1.06) was obtained for BAR and RMP = 1, 00 (IQR = 0.91-1.01) for TOF, all adherents (≥ 0.8).

Table 2.

Safety results of the treatment shows the safety results.

Side EffectBaricitinib(n, %)Tofacitinib(n, %)Hb <11 g/dl7 (23,3)0Hb < 8 g/dl0 (0)/Hb Recovery >11 g/dl2/7 (28,6)/Neutrophils < 1500/mm30 (0)/Lymphocytes < 1000/mm33 (10,0)2 (22,2)Platelets > 600 × 103/mm31 (3,3)0AST o ALT > 1 NLV4 (13.3)0 (0)Hypercholesterolemia (> 1 NLV)13 (43.3)5 (55.5)Infections13 (43.3)0 (0)Herpes zoster6 (20,0)0 (0)

Conclusion:

In our population, mostly refractory to biological, more than half of the patients maintain treatment with JAKi, with optimal adherence. The main reason for the suspension of both drugs was inefficiency. The most frequent adverse effects were hypercholesterolemia in both groups and infections in BAR, with a high frequency of herpes zoster. No cardiovascular or thromboembolic events were observed.

Disclosure of Interests:

Cristina Valero: None declared, Alberto Calvo Garcia: None declared, Noelia García Castañeda: None declared, Ana Ortiz: None declared, Irene Llorente Speakers bureau: Gebro, Janssen, Sanofi, Lilly., Blanca Varas: None declared, Santos Castañeda: None declared, Rosario Garcia de Vicuna Grant/research support from: BMS, Lilly, MSD, Novartis, Roche, Consultant of: Abbvie, Biogen, BMS, Celltrion, Gebro, Lilly, Mylan, Pfizer, Sandoz, Sanofi, Paid instructor for: Lilly, Speakers bureau: BMS, Lilly, Pfizer, Sandoz, Sanofi, Esther Ramirez: None declared

FRI0264 EFFECTIVENESS, SAFETY AND PATTERNS OF USE OF RITUXIMAB IN SCLERODERMA, IN CLINICAL PRACTICE: 9 YEARS’ EXPERIENCE IN A TERTIARY HOSPITAL

Background:

Systemic sclerosis (SSc) is a clinically complex and heterogeneous disease. Interstitial lung involvement (ILD) is the main cause of mortality, but progression of skin fibrosis has also been associated with pulmonary dysfunction and mortality. Recently, Rituximab (RTX) has been postulated as a promising therapeutic alternative to cyclophosphamide (CF) or mycophenolate (MFM), but long-term experience is scarce.

Objectives:

Describe the effectiveness, safety and long-term use of RTX, in a series of cases with SSc.

Methods:

Retrospective observational study of patients with SSc (EULAR/ACR 2013 criteria) treated with RTX in a university hospital from 2010 to 2019. Sociodemographic data related to SSc and treatments were collected. The effectiveness of RTX was evaluated at 6-12 months and at the end of follow-up, by means of these main outcomes: Rodnan’s modified cutaneous index (mRSS) for skin fibrosis; CK leves for myopathy, variation >10% in forced vital capacity (FVC) and >15% in lung diffusion capacity of carbon monoxide (DLCO) for ILD. Adverse events (AE) were recorded. Statistical analysis performed with Stata v.14 and statistical significance set for p≤0.05.

Results:

14 women with SSc (mean age 47±13 years, mean evolution 6.2±4.5 years) were treated with RTX for ILD (n=9), skin involvement (n=11) and/or inflammatory myopathy (n=3). The mean±SD of follow-up was 3.36±2.17 years. SSc type: diffuse cutaneous 35.71%, limited cutaneous 21.44%, overlap 35.71% and sine scleroderma 7.14%. Type of antibodies: 50% anti-Scl-70, 14.3% anti-centromere, 21.4% anti-RNA polymerase III and 7.14% anti-Ku. ILD was classified as NINE in 8 patients and NIU in 1. The first cycle of RTX included 2 infusions of 1g and was initiated a mean of 3.36±2.17 years after diagnosis. The retreatments were initially fixed every 6 months and later on demand in 4 patients, and in the rest on demand from the beginning, according to duration of clinical response. A mean of 3.9±2.5 cycles/patient (range: 1-11) were administered. 30% of patients had previously received CF and 21.5% MFM. RTX was administered in association with other DMARDs (MTX 64.29%, hydroxychloroquine [HCQ] 35.71%, MFM 57.14%, others 14.28%), CF (14.29%), intravenous immunoglobulins (7,14%) and prednisone (78.57%). In the final visit, the percentage use of DMARDs (50% MTX, 50% MFM and 28.57% HCQ) and prednisone (62.5% patients, 30% doses) was reduced. mRSS improved significantly. Muscle weakness disappeared in 3/3 with normal CK levels in 2/3 patients with myopathy. The FVC improved or stabilized in 22% and 56% of ILD, respectively, and the DLCO stabilized in 66.70% (not significant). TACAR stabilized in 55.56% of ILD, with some degree of worsening in the rest. Outcomes evolution in the Table:

Functional ParametersBasal (mean±SD)6-12 m (mean±SD)CI 95%PFinal (mean±SD)CI 95%PFVC (n=9)63.2±16.870.3±18.6[-13.3–6.1]0,4071.9±21.1[-14.4–5.9]0.36DLCO (n=9)46.3±18.546.1±20.30,3445.2±22.03[-3.9–12.8]0.24Clinical ParametersBasal (mean±SD)Final (mean±SD)CI 95%PmRSS (n=11)13.1±7.28.8±7.1[0.9–9.4]0.02CK (n=3)1786.7±1483.8134.7±119[-2181.9 –5485.9]0.2

CK: Creatine kinase; SD: Standard deviation; CI: Confidence interval; m: months.

The AE were mostly mild: 13 infusional reactions (6 patients), 1 uncomplicated herpes zoster and 2 serious infections that required admission. There were no exitus.

Conclusion:

Our results, with a limited sample, suggest that the long-term use of RTX in real world clinical practice may be beneficial for the cutaneous, pulmonary and myopathic manifestations of SSc, with an acceptable security profile.

Disclosure of Interests:

Esther Vicente Speakers bureau: BMS, Roche., Javier Fernández: None declared, Irene Llorente Speakers bureau: Gebro, Janssen, Sanofi, Lilly., Lorena Vega: None declared, Santos Castañeda: None declared, Alberto García-Vadillo: None declared, Isidoro González-Álvaro Grant/research support from: Roche Laboratories, Consultant of: Lilly, Sanofi, Paid instructor for: Lilly, Speakers bureau: Abbvie, MSD, Roche, Lilly, Alicia Humbría: None declared, Ana Ortiz: None declared, Esther Patiño: None declared, Eva Tomero Muriel: None declared, Rosario Garcia de Vicuna Grant/research support from: BMS, Lilly, MSD, Novartis, Roche, Consultant of: Abbvie, Biogen, BMS, Celltrion, Gebro, Lilly, Mylan, Pfizer, Sandoz, Sanofi, Paid instructor for: Lilly, Speakers bureau: BMS, Lilly, Pfizer, Sandoz, Sanofi

FRI0071 ANALYSIS OF DATA GAPS IN RHEUMATOID ARTHRITIS

Background:

Although ideally Recommendations for the management of rheumatoid arthritis (RA) should be supported by the highest level of evidence, many of which are based on “expert opinion”. This means that there are knowledge gaps to which a part of the research efforts in this disease should be directed.

Objectives:

1.- Analyze the causes of the low level of evidence in some of the recommendations on diagnosis and management of RA in the main published documents

2.- Identify the knowledge gaps that justify said low level of evidence

3.- Design actions to respond to the knowledge gaps identified.

Methods:

Qualitative study. A group of six experts in systematic review of the literature was selected. Fourteen documents of national and international recommendations on RA (EULAR, ACR and SER) of the last 5 years were analyzed by a peer review. They selected recommendations with low level of evidence (Oxford 4 and 5) / grade of recommendation (C and D), and classified by areas (diagnosis, monitoring, treatment, others) and then possible causes of low level of evidence were analyzed. These were submitted to a Delphi to select the 10 recommendations in which participants considered it more critical to obtain quality evidence. Subsequently, actions were proposed to improve the levels of evidence in general and, through the PICOS structure (population, intervention, comparator, study design) specific studies were proposed to respond to the issues raised in these 10 recommendations

Results:

185 recommendations were found that had a low level of evidence / grade of recommendation, most related to the treatment of RA. The two most frequent causes of this low level of evidence and / or the degree of recommendation were the absence of studies and an incorrect classification of the level of evidence and / or degree of recommendation. In addition, other reasons and methodological barriers were found for which nine critical recommendations were finally selected for which new PICOs were developed with which to propose targeted research projects

Conclusion:

It is necessary to improve the methodological approach in the RA recommendations guidelines to correct errors and fill gaps with appropriate studies.

Table 1.

Actions to increase the level of evidence / recommendation.

#Action1Prioritization of research towards knowledge gaps with the design and development of specific studies2Increase knowledge of experts in the methodology of consensus documents (including RSL, formulation of recommendations, etc.)3Supervision of the entire process by expert methodologists, to ensure a correct allocation of the levels of evidence and degree of recommendation4Review and select those topics that are really of interest and should be reviewed and can be answered5Expert opinion should never become a recommendation, but will be included in the text that accompanies that recommendation.6Clear syntax will be used and short recommendations will be made7Establishment and application of homogeneous criteria to formulate recommendations

Key words: Rheumatoid arthritis, recommendations, data gaps

Disclosure of Interests:

gloria candelas: None declared, Lucía Silva-Fernández: None declared, Maria Montoro Employee of: Pfizer employee, Abad Hernández: None declared, Jose Ramón Maneiro: None declared, Virginia Villaverde: None declared, Loreto Carmona Grant/research support from: Novartis Farmaceutica, SA, Pfizer, S.L.U., Merck Sharp & Dohme España, S.A., Roche Farma, S.A, Sanofi Aventis, AbbVie Spain, S.L.U., and Laboratorios Gebro Pharma, SA (All trhough institution), Estíbaliz Loza Grant/research support from: Roche, Pfizer, Abbvie, MSD, Novartis, Gebro, Adacap, Astellas, BMS, Lylly, Sanofi, Eisai, Leo, Sobi, Susana Gómez Employee of: Pfizer employee, Monica Valderrama Consultant of: Pfizer employee, Ana Ortiz: None declared

Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers

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