ABSTRACT
Resumen Introducción: En este estudio se evalúa la emocionalidad asociada a la vacunación contra el COVID-19 a partir de la técnica de análisis de sentimientos de los tweets en países iberoamericanos hispanohablantes. Método: En enero de 2021 se realizó un estudio mixto observacional transversal de 41023 tweets procedentes de nueve países iberoamericanos hispanohablantes (Chile, El Salvador, Venezuela, Ecuador, Argentina, México, Panamá, Perú y España) con una fase cuantitativa y técnicas de análisis de sentimientos mediante algoritmos de inteligencia artificial y una fase cualitativa donde se realizó un análisis del discurso de los tweets cuya emocionalidad era en extremo positiva y negativa. Resultados: A partir del análisis de sentimiento de los tweets, se observó que los países presentan una emocionalidad negativa asociada a la vacunación contra el COVID-19, que se podría atribuir a la desconfianza hacia las autoridades y a la eficacia o seguridad de las vacunas, según el análisis del discurso en los tweets de emocionalidad en extremo negativa. Conclusiones: Las técnicas de análisis de sentimientos en combinación con el análisis del discurso de la emocionalidad extrema posibilitaron la monitorización de las opiniones negativas y sus posibles factores asociados en la vacunación contra el COVID-19 en los países iberoamericanos estudiados.
Abstract Introduction: This study evaluates the emotionality associated with vaccination against COVID-19 using the sentiment analysis technique of tweets in Spanish-speaking Ibero-American countries. Method: In January 2021 a mixed cross-sectional observational study of 41023 tweets from nine Spanish-speaking Ibero-American countries (Chile, El Salvador, Venezuela, Ecuador, Argentina, Mexico, Panama, Peru and Spain) was carried out with a quantitative phase and analysis techniques of feelings based on artificial intelligence algorithms and a qualitative phase where an analysis of the discourse of the tweets whose emotionality was extremely positive and negative was carried out. Results: From the sentiment analysis of the tweets, it was observed that the countries present a negative emotionality associated with the vaccination against COVID-19, which could be attributed to mistrust towards the authorities and the efficacy or safety of the vaccines, according to the analysis of the discourse in the extremely negative emotionality tweets. Conclusions: Sentiment analysis techniques in combination with extreme emotionality discourse analysis made it possible to monitor negative opinions and their possible associated factors in vaccination against COVID-19 in the Ibero-American countries studied.
ABSTRACT
Abstract: Objective: To describe the hemodynamic and respiratory changes during early mobilization (EM) after cardiac surgery. Methods: An analytical observational retrospective cohort study was performed in a Coronary Care Unit of a tertiary hospital. 75 patients submitted to cardiac surgery (From March 2017 up to July 2017) were included. Inclusion criteria were hemodynamic and respiratory stability before starting EM. Hemodynamic and respiratory behavior during EM were evaluated. EM was performed in 3 steps: supine, seated at the edge of the bed (SEB) and biped (BIP). Heart rate (HR), breathing rate (BR), mean arterial pressure (MAP), oxygen saturation (O2Sat) and Borg and Pain scales were evaluated. Results: Six patients, (8%) could not complete the mobilization satisfactorily, which was significantly associated to greater extracorporeal circulation time (ECC T) (p= 0.02). HR, BR, MAP Borg and Pain scales, that were significantly changed during EM, returned fully after the procedure. O2Sat was significantly increased at the end of EM (p=0.000). Prolonged ECC time predicted a 4.6 fold risk for inability to perform EM for 48 hours. Conclusion: EM of patients undergoing cardiac surgery is a safe and feasible intervention. In addition, the prolonged ECC T was observed to be a risk factor for delayed mobilization in this type of patients.