Comparison of Cylindrical and Tapered Stem Designs for Femoral Revision Hip Arthroplasty.

Background: Cylindrical fully-coated cobalt-chromium stems (CCS) have been widely used in femoral revisions. However, monoblock fluted conical tapered stems (FCTS) are growing in popularity. The present study seeks to determine whether there are any long-term differences between the two designs. Material and methods: A retrospective study of 38 CCS versus 40 FCTS was carried out. Demographic data, clinical variables and radiographic parameters were recorded. Results: Demographic data were comparable. A greater proportion of septic revisions, periprosthetic fractures and previous osteosynthesis failures was observed with FCTS versus CCS (p = 0.012). A greater use of FCTS was recorded in cases with bone defects of type IIIA and higher (p = 0.025). There were no significant differences in terms of in-hospital complications (p = 0.815), postoperative surgical complications or need for reoperation (p = 0.156). The CCS group presented a higher percentage of clinical thigh pain at the end of follow-up (p = 0.006). Additionally, a greater presence of radiolucencies was observed with CCS, especially in proximal zones (1, 7, 10 and 14). More subsidence, tip cortical hypertrophy and stress shielding were recorded in the CCS group. The overall survival at 120 months was 84.2% in the CCS group and 85% in the FCTS group (p = 0.520). When analyzing isolated aseptic loosening as the cause of failure, the survival rate was 94.7% in the CCS group and 95% in the FCTS group (p = 0.506). Conclusions: Both FCTS and CCS with diaphyseal anchorage afford excellent long-term survival rates, with no differences between the two designs. However, a higher incidence of stress shielding, radiolucencies and thigh pain with CCS seems to favor the use of FCTS.

EPPO ontology: a semantic-driven approach for plant and pest codes representation.

The agricultural industry and regulatory organizations define strategies and build tools and products for plant protection against pests. To identify different plants and their related pests and avoid inconsistencies between such organizations, an agreed and shared classification is necessary. In this regard, the European and Mediterranean Plant Protection Organization (EPPO) has been working on defining and maintaining a harmonized coding system (EPPO codes). EPPO codes are an easy way of referring to a specific organism by means of short 5 or 6 letter codes instead of long scientific names or ambiguous common names. EPPO codes are freely available in different formats through the EPPO Global Database platform and are implemented as a worldwide standard and used among scientists and experts in both industry and regulatory organizations. One of the large companies that adopted such codes is BASF, which uses them mainly in research and development to build their crop protection and seeds products. However, extracting the information is limited by fixed API calls or files that require additional processing steps. Facing these issues makes it difficult to use the available information flexibly, infer new data connections, or enrich it with external data sources. To overcome such limitations, BASF has developed an internal EPPO ontology to represent the list of codes provided by the EPPO Global Database as well as the regulatory categorization and relationship among them. This paper presents the development process of this ontology along with its enrichment process, which allows the reuse of relevant information available in an external knowledge source such as the NCBI Taxon. In addition, this paper describes the use and adoption of the EPPO ontology within the BASF's Agricultural Solutions division and the lessons learned during this work.

Hope speech detection in Spanish: The LGBT case.

In recent years, systems have been developed to monitor online content and remove abusive, offensive or hateful content. Comments in online social media have been analyzed to find and stop the spread of negativity using methods such as hate speech detection, identification of offensive language or detection of abusive language. We define hope speech as the type of speech that is able to relax a hostile environment and that helps, gives suggestions and inspires for good to a number of people when they are in times of illness, stress, loneliness or depression. Detecting it automatically, in order to give greater diffusion to positive comments, can have a very significant effect when it comes to fighting against sexual or racial discrimination or when we intend to foster less bellicose environments. In this article we perform a complete study on hope speech, analyzing existing solutions and available resources. In addition, we have generated a quality resource, SpanishHopeEDI, a new Spanish Twitter dataset on LGBT community, and we have conducted some experiments that can serve as a baseline for further research.

Evaluation of transformer models for financial targeted sentiment analysis in Spanish.

Nowadays, financial data from social media plays an important role to predict the stock market. However, the exponential growth of financial information and the different polarities of sentiment that other sectors or stakeholders may have on the same information has led to the need for new technologies that automatically collect and classify large volumes of information quickly and easily for each stakeholder. In this scenario, we conduct a targeted sentiment analysis that can automatically extract the main economic target from financial texts and obtain the polarity of a text towards such main economic target, other companies and society in general. To this end, we have compiled a novel corpus of financial tweets and news headlines in Spanish, constituting a valuable resource for the Spanish-focused research community. In addition, we have carried out a performance comparison of different Spanish-specific large language models, with MarIA and BETO achieving the best results. Our best result has an overall performance of 76.04%, 74.16%, and 68.07% in macro F1-score for the sentiment classification towards the main economic target, society, and other companies, respectively, and an accuracy of 69.74% for target detection. We have also evaluated the performance of multi-label classification models in this context and obtained a performance of 71.13%.

Cistoadenoma mucinoso biliar: Un reto diagnóstico / Mucinous biliary cystadenoma: A diagnostic challenge

Introducción. El cistoadenoma mucinoso biliar es una neoplasia rara con alta probabilidad de malignidad. Su diagnóstico es un reto ya que se asemeja a otras masas benignas que pueden encontrarse en el hígado. Caso clínico. Mujer de 21 años con sensación de masa en hipocondrio derecho, a quien se le realizan marcadores tumorales y estudios de imágenes concluyendo que se trataba de un cistadenoma mucinoso biliar. Resultado. Se presenta el caso de una paciente con cistoadenoma mucinoso biliar, diagnosticada y tratada exitosamente con cirugía. Conclusión. El diagnóstico de cistoadenoma mucinoso biliar se confirma mediante marcadores tumorales y estudios radiológicos, y su tratamiento es quirúrgico debido al riesgo de malignidad

Introduction. Biliary mucinous cystadenoma is a rare neoplasm with a high probability of malignancy. Its diagnosis is a challenge since it resembles other benign masses that can be found in the liver. Clinical case. A 21-year-old woman with a sensation of a mass in the right hypochondrium, who underwent tumor markers and imaging studies, concluding with a diagnosis of biliary mucinous cystadenoma. Result. A case of a patient with biliary mucinous cystadenoma diagnosed and successfully treated by surgery is presented. Conclusion. The diagnosis of biliary mucinous cystadenoma is confirmed by tumor markers and radiological studies, and its treatment is surgical due to the risk of malignancy

Safety and feasibility of transradial access for percutaneous coronary intervention in chronic total occlusions.

INTRODUCTION AND OBJECTIVES: Transfemoral access is the most frequently used vascular approach in chronic total occlusion percutaneous coronary interventions (CTO-PCI). The aim of this study was to evaluate the safety and feasibility of a transradial access CTO-PCI program and its impact on angiographic and clinical results and length of hospital stay. METHODS: Retrospective multicenter cohort study including 2550 consecutive CTO-PCI procedures included in a multicenter registry with accurate information on vascular access. A total of 896 procedures were performed as radial-only access while 1654 were performed through at least 1 femoral puncture. Clinical and angiographic data were collected. RESULTS: The mean age was 66.3± 11.4 years. The mean Japan-chronic total occlusion score (2.7±0.3) was similar in the 2 groups. Successful revascularization was achieved in 2009 (79.6%) cases, 78.2% and 82.1% in the femoral and radial access cohorts, respectively (P=.002). Periprocedural in-hospital complications were observed in 5.1% and 2.3% (P=.02), with fewer access site-dependant vascular complications in the transradial cohort (2.3% vs 0.2%; P=.009). The mean length of hospital stay was significantly shorter in the transradial access group (0.89±1.4 vs 2.2±3.2 days, P<.001). CONCLUSIONS: A transradial program for CTO-PCI is safe and effective in most CTO lesions. The transradial strategy has fewer vascular complications and shorter length of hospital stay without compromising the success rate.

An automated process for supporting decisions in clustering-based data analysis.

BACKGROUND AND OBJECTIVE: Metrics are commonly used by biomedical researchers and practitioners to measure and evaluate properties of individuals, instruments, models, methods, or datasets. Due to the lack of a standardized validation procedure for a metric, it is assumed that if a metric is appropriate for analyzing a dataset in a certain domain, then it will be appropriate for other datasets in the same domain. However, such generalizability cannot be taken for granted, since the behavior of a metric can vary in different scenarios. The study of such behavior of a metric is the objective of this paper, since it would allow for assessing its reliability before drawing any conclusion about biomedical datasets. METHODS: We present a method to support in evaluating the behavior of quantitative metrics on datasets. Our approach assesses a metric by using clustering-based data analysis, and enhancing the decision-making process in the optimal classification. Our method assesses the metrics by applying two important criteria of the unsupervised classification validation that are calculated on the clusterings generated by the metric, namely stability and goodness of the clusters. The application of our method is facilitated to biomedical researchers by our evaluomeR tool. RESULTS: The analytical power of our methods is shown in the results of the application of our method to analyze (1) the behavior of the impact factor metric for a series of journal categories; (2) which structural metrics provide a better partitioning of the content of a repository of biomedical ontologies, and (3) the heterogeneity sources in effect size metrics of biomedical primary studies. CONCLUSIONS: The use of statistical properties such as stability and goodness of classifications allows for a useful analysis of the behavior of quantitative metrics, which can be used for supporting decisions about which metrics to apply on a certain dataset.

Overlapping of Independent SARS-CoV-2 Nosocomial Transmissions in a Complex Outbreak.

SARS-CoV-2 nosocomial outbreaks in the first COVID-19 wave were likely associated with a shortage of personal protective equipment and scarce indications on control measures. Having covered these limitations, updates on current SARS-CoV-2 nosocomial outbreaks are required. We carried out an in-depth analysis of a 27-day nosocomial outbreak in a gastroenterology ward in our hospital, potentially involving 15 patients and 3 health care workers. Patients had stayed in one of three neighboring rooms in the ward. The severity of the infections in six of the cases and a high fatality rate made the clinicians suspect the possible involvement of a single virulent strain persisting in those rooms. Whole-genome sequencing (WGS) of the strains from 12 patients and 1 health care worker revealed an unexpected complexity. Five different SARS-CoV-2 strains were identified, two infecting a single patient each, ruling out their relationship with the outbreak; the remaining three strains were involved in three independent, overlapping, limited transmission clusters with three, three, and five cases. Whole-genome sequencing was key to understand the complexity of this outbreak. IMPORTANCE We report a complex epidemiological scenario of a nosocomial COVID-19 outbreak in the second wave, based on WGS analysis. Initially, standard epidemiological findings led to the assumption of a homogeneous outbreak caused by a single SARS-CoV-2 strain. The discriminatory power of WGS offered a strikingly different perspective consisting of five introductions of different strains, with only half of them causing secondary cases in three independent overlapping clusters. Our study exemplifies how complex the SARS-CoV-2 transmission in the nosocomial setting during the second COVID-19 wave occurred and leads to extending the analysis of outbreaks beyond the initial epidemiological assumptions.

Proper Assignation of Reactivation in a COVID-19 Recurrence Initially Interpreted as a Reinfection.

A 77-year-old man (case R) with previous diagnosis of a mild COVID-19 episode was hospitalized 35 days later. On day 23 postadmission, he developed a second COVID-19 episode, now severe, and finally died. Initially, case R's COVID-19 recurrence was interpreted as a reinfection due to the exposure to a SARS-CoV-2 RT-PCR-positive roommate. However, whole-genome sequencing indicated that case R's recurrence corresponded to a reactivation of the strain involved in his first episode. Case R's reactivation had major consequences, leading to a more severe episode, and causing subsequent transmission to another 2 hospitalized patients, 1 of them with fatal outcome.

Automatic Correction of Real-Word Errors in Spanish Clinical Texts.

Real-word errors are characterized by being actual terms in the dictionary. By providing context, real-word errors are detected. Traditional methods to detect and correct such errors are mostly based on counting the frequency of short word sequences in a corpus. Then, the probability of a word being a real-word error is computed. On the other hand, state-of-the-art approaches make use of deep learning models to learn context by extracting semantic features from text. In this work, a deep learning model were implemented for correcting real-word errors in clinical text. Specifically, a Seq2seq Neural Machine Translation Model mapped erroneous sentences to correct them. For that, different types of error were generated in correct sentences by using rules. Different Seq2seq models were trained and evaluated on two corpora: the Wikicorpus and a collection of three clinical datasets. The medicine corpus was much smaller than the Wikicorpus due to privacy issues when dealing with patient information. Moreover, GloVe and Word2Vec pretrained word embeddings were used to study their performance. Despite the medicine corpus being much smaller than the Wikicorpus, Seq2seq models trained on the medicine corpus performed better than those models trained on the Wikicorpus. Nevertheless, a larger amount of clinical text is required to improve the results.

Choice of CTO scores to predict procedural success in clinical practice. A comparison of 4 different CTO PCI scores in a comprehensive national registry including expert and learning CTO operators.

BACKGROUND: We aimed to compare the performance of the recent CASTLE score to J-CTO, CL and PROGRESS CTO scores in a comprehensive database of percutaneous coronary intervention of chronic total occlusion procedures. METHODS: Scores were calculated using raw data from 1,342 chronic total occlusion procedures included in REBECO Registry that includes learning and expert operators. Calibration, discrimination and reclassification were evaluated and compared. RESULTS: Mean score values were: CASTLE 1.60±1.10, J-CTO 2.15±1.24, PROGRESS 1.68±0.94 and CL 2.52±1.52 points. The overall percutaneous coronary intervention success rate was 77.8%. Calibration was good for CASTLE and CL, but not for J-CTO or PROGRESS scores. Discrimination: the area under the curve (AUC) of CASTLE (0.633) was significantly higher than PROGRESS (0.557) and similar to J-CTO (0.628) and CL (0.652). Reclassification: CASTLE, as assessed by integrated discrimination improvement, was superior to PROGRESS (integrated discrimination improvement +0.036, p<0.001), similar to J-CTO and slightly inferior to CL score (- 0.011, p = 0.004). Regarding net reclassification improvement, CASTLE reclassified better than PROGRESS (overall continuous net reclassification improvement 0.379, p<0.001) in roughly 20% of cases. CONCLUSION: Procedural percutaneous coronary intervention difficulty is not consistently depicted by available chronic total occlusion scores and is influenced by the characteristics of each chronic total occlusion cohort. In our study population, including expert and learning operators, the CASTLE score had slightly better overall performance along with CL score. However, we found only intermediate performance in the c-statistic predicting chronic total occlusion success among all scores.

Nivel de dificultad y poder de discriminación del examen final de la asignatura Ontogenia Humana y SOMA / Difficulty level and discernment power on Human Ontogeny and SOMA final test subject

RESUMEN Fundamento: La calidad de los instrumentos evaluativos resulta esencial en el proceso de evaluación del aprendizaje. Objetivo: Determinar los índices de dificultad y discriminación del examen final ordinario de la asignatura Ontogenia Humana y Soma. Metodología: Se realizó un estudio retrospectivo transversal en la asignatura Ontogenia y SOMA, del curso 2017-2018 en la Universidad de Ciencias Médicas de Sancti Spíritus, en el que se procesaron 163 exámenes ordinarios finales, el 30 % de los examinados seleccionados mediante un muestreo aleatorio estratificado por grupos, se calcularon el índice de dificultad e índice de discriminación por preguntas, temas y ciencias. Resultados: El número de incisos esperados y reales, de acuerdo con las horas clases para cada ciencia estuvo ajustado, no así en las temáticas Ontogenia de 17 incisos esperados se dedicaron 12 (70.5 %), en SOMA de 34 incisos esperados se dedicaron 29 (85.2 %); el índice de dificultad por temáticas, ciencias y temarios fue medianamente fácil (0.74-0.86) al igual que para el examen en su conjunto. El índice de discriminación del tema Ontogenia fue superior en el temario 1 (T1: 0.37 vs. T2: 0.24) y similar en SOMA (T1: 0.40 vs. T2: 0.39) y a nivel de las ciencias [Embriología (T1: 0.39 vs. T2: 0.31), Anatomía (T1: 0.39 vs. T2: 0.37)]. A nivel de preguntas, el índice de discriminación más bajo lo tuvo la pregunta 1 del primer temario (0.22), el resto tuvo índices de discriminación superiores a 0.30. Conclusiones: Ambos temarios tienen un índice de discriminación similar. El índice de dificultad fue medianamente fácil.

ABSTRACT Background: The quality of the assessment instruments is essential in the learning assessment process. Objective: To determine the difficulty and discernment indexes of the Human Ontogeny and SOMA ordinary final test subject. Methodology: A cross-sectional retrospective study was conducted on the Ontogeny and SOMA subject, from 2017 to 2018 academic year at the Sancti Spíritus Faculty of Medical Sciences, 163 final ordinary tests were processed, 30 % of the examinees selected by stratified random cluster sampling, the difficulty and discernment index were calculated by questions, topics and sciences. Results: The number of expected and real items, according to the class hours for each science, was adjusted, but not in the subjects (Ontogeny of 17 expected items were dedicated 12 (70.5 %), in SOMA of 34 expected items 29 were dedicated (85.2 %), the difficulty index by subjects, sciences and syllabus was moderately easy (0.74-0.86) as for the exam as a whole. The discernment index of the topic Ontogeny was higher in the syllabus 1 (T1: 0.37 vs. T2: 0.24) and similar in SOMA (T1: 0.40 vs. T2: 0.39) and [Embryology (T1: 0.39 vs. T2: 0.31), Anatomy (T1: 0.39 vs. T2: 0.37)]. At the science level questions, the lowest discernment index was found in question 1 from the first syllabus (0.22), the rest had discernment indexes higher than 0.30. Conclusions: Both topics have a similar discernment index. The difficulty index was moderately easy.