Outcomes and risk factors with COVID-19 or influenza in hospitalized asthma patients.

BACKGROUND: At the time of the SARS-CoV-2 emergence, asthma patients were initially considered vulnerable because respiratory viruses, especially influenza, are associated with asthma exacerbations, increased risk of hospitalization and more severe disease course. We aimed to compare the asthma prevalence in patients hospitalized for COVID-19 or influenza and risk factors associated with poor prognosis with the diseases. METHODS: This retrospective cohort study used the Paris university hospitals clinical data warehouse to identify adults hospitalized for COVID-19 (January to June 2020) or influenza (November 2017 to March 2018 for the 2017-2018 influenza period and November 2018 to March 2019 for the 2018-2019 period). Asthma patients were identified with J45 and J46 ICD-10 codes. Poor outcomes were defined as admission in intensive care or death. RESULTS: Asthma prevalence was significantly higher among influenza than COVID-19 patients (n = 283/3 119, 9.1%, 95% CI [8.1-10.1] in 2017-2018 and n = 309/3 266, 9.5%, 95% CI [8.5-10.5] in 2018-2019 versus n = 402/9 009, 4.5%, 95% CI [4.0-4.9]). For asthma patients, 31% with COVID-19 were admitted to an intensive care unit versus 23% and 21% with influenza. Obesity was a risk factor for the 2017-2018 influenza period, smoking and heart failure for the 2018-2019 period. Among COVID-19 patients with asthma, smoking and obesity were risk factors for the severe form. CONCLUSIONS: In this study, patients with an asthma ICD-10 code were less represented among COVID-19 patients than among influenza-infected ones. However, outcomes were poorer for COVID-19 than influenza patients, both with asthma. These data highlight the importance of protective shields and vaccination against influenza and COVID-19 in this population.

TAXN: Translate Align Extract Normalize, a Multilingual Extraction Tool for Clinical Texts.

Several studies have shown that about 80% of the medical information in an electronic health record is only available through unstructured data. Resources such as medical terminologies in languages other than English are limited and restrain the NLP tools. We propose here to leverage English based resources in other languages using a combination of translation, word alignment, entity extraction and term normalization (TAXN). We implement this extraction pipeline in an open-source library called "medkit". We demonstrate the interest of this approach through a specific use-case: enriching a phenotypic dictionary for post-acute sequelae in COVID-19 (PASC). TAXN proved to be efficient to propose new synonyms of UMLS terms using a corpus of 70 articles in French with 356 terms enriched with at least one validated new synonym. This study was based on freely available deep-learning models.

Rasgos de personalidad y estrategias cognitivas de regulación emocional en estudiantes universitarios / Personality Traits and Cognitive Strategies of Emotional Regulation in College Students

Antecedentes: la personalidad es un constructo psicológico fundamental para explicar y predecir el comportamiento humano. Investigaciones recientes se han focalizado en la relación entre la personalidad y la regulación emocional, revelando que los rasgos de personalidad pueden influir en la forma en que los individuos regulan sus emociones. Objetivo: evaluar la influencia de los rasgos de personalidad del modelo de los cinco grandes factores sobre las estrategias cognitivas de regulación emocional en estudiantes universitarios. Método: participaron 283 estudiantes, entre 18 y 58 años, a quienes se les administró el listado de adjetivos para evaluar la personalidad (AEP) y el cuestionario de estrategias cognitivas de regulación emocional (CERQ). Resultados: los rasgos de personalidad explican más fuertemente el uso de estrategias desadaptativas deregulación emocional y, en menor medida, de estrategias adaptativas. El neuroticismo resultó el principal predictor para las estrategias desadaptativas, seguido por la amabilidad; mientras que para las estrategias adaptativas, el mayor predictor fue la amabilidad, seguido de la apertura a la experiencia. Conclusión: este estudio contribuye a comprender la relación entre los rasgos de personalidad y las estrategias cognitivas de regulación emocional. Palabras clave: rasgos de personalidad; estrategiascognitivas de regulación emocional; estudiantes universitarios; personalidad; regulación emocional.

Background: Personality is a fundamental psychological construct for explaining and predicting human behavior. Recent research has focused on the relationship between personality and emotional regulation, revealing that personality traits may influence the way individuals regulate their emotions. Objective: to assess the influence of personality traits from the Big Five Factor Model on cognitive strategies of emotional regulation in college students. Method: 283 students participated, aged 18 to 58 years, who were administered the Adjectives to Evaluate Personality (AEP) list and the Cognitive Strategies of Emotional Regulation Questionnaire (CERQ). Results: Personality traits most strongly explained the use of maladaptive strategies of emotional regulation, and to a lesser extent, of adaptive strategies. Neuroticism was themain predictor for maladaptive strategies, followed by Agreeableness, while for adaptive strategies, Agreeableness was the strongest predictor, followed by Openness to experience. Conclusion: This study contributes to the understanding of the relationship between personality traits and cognitive strategies of emotional regulation. Keywords: personality traits; cognitive strategies ofemotional regulation; university students; personality; emotional regulation.