Mieloperoxidasa como marcador de daño vascular

Introducción: el aumento de actividad de la enzima mieloperoxidasa recientemente se ha asociado en el entorno con varias condiciones patológicas como la enfermedad cardiovascular, el cáncer, la enfermedad renal, el daño pulmonar y la enfermedad de Alzheimer. Objetivo: determinar la asociación de la actividad de la enzima mieloperoxidasa con factores de riesgo de daño vascular. Métodos: se realizó un estudio descriptivo transversal en la Facultad de Medicina de la Universidad de Ciencias Médicas de Villa Clara de enero de 2015 a diciembre de 2016. El universo estuvo constituido por 416 trabajadores y se trabajó con una muestra de 90 personas, por muestreo probabilístico, a las que se les determinó la mieloperoxidasa en suero, así como el colesterol, los triglicéridos y la glicemia. Resultados: la media de los valores de la actividad de la enzima estudiada se encontró entre 0,210 y 0,235. El valor promedio de esta actividad en los hombres es 0,233, superior al valor 0,212 correspondiente a las mujeres. El valor promedio de la actividad enzimática en hipertensos resultó 0,254, que superó muy significativamente al valor 0,194 de los no hipertensos. La diabetes mellitus se relacionó significativamente con la enzima estudiada. Conclusiones: en la hipertensión arterial y la diabetes mellitus la actividad de la enzima muestra valores significativos como predictor de riesgo vascular.Introduction: the increased activity of the myeloperoxidase enzyme has recently been associated in the environment with several pathological conditions such as cardiovascular disease, cancer, kidney disease, lung damage and Alzheimer's disease. Objective: to determine the association of myeloperoxidase enzyme activity with risk factors for vascular damage. Methods: a cross-sectional descriptive study was carried out in the Faculty of Medicine of the University of Medical Sciences of Villa Clara from January 2015 to December 2016. The universe consisted of 416 workers and a sample of 90 people was worked on, by sampling probabilistic, to which serum myeloperoxidase was determined, as well as cholesterol, triglycerides and glycemia. Results: the average of the values of the activity of the enzyme studied was between 0,210 and 0,235. The average value of this activity in men is 0.233, higher than the value 0,212 for women. The average value of enzymatic activity in hypertensive patients was 0,254, which exceeded very significantly the 0,194 value of non-hypertensive patients. Diabetes mellitus was significantly related to the enzyme studied. Conclusions: in arterial hypertension and diabetes mellitus, the activity of the enzyme shows significant values as a predictor of vascular risk

Activity of the enzyme myeloperoxidase in workers

Introducción: en la evolución de la enfermedad cardiovascular aterosclerótica se propone al estrés oxidativo como potencial inductor de inflamación. Una de las enzimas del estrés oxidativo que vincula las enfermedades producidas por isquemia reperfusión y las enfermedades inflamatorias es la mieloperoxidasa. Objetivo: determinar la relación entre la actividad de la enzima mieloperoxidasa y diferentes variables como el sexo, la edad y los niveles sanguíneos de glucosa, colesterol y triacilgliceridos en trabajadores de la Facultad de Medicina. Método: se realizó un estudio descriptivo transversal en la Facultad de Medicina de la Universidad de Ciencias Médicas de Villa Clara desde enero de 2015 a diciembre de 2016. La población estuvo constituida por 416 trabajadores y se seleccionó una muestra de 90 personas por muestreo probabilístico a los que se les determinó la actividad de la enzima mieloperoxidasa en suero, así como niveles sanguíneos de colesterol, triglicéridos y glucosa. Resultados: el valor promedio de esta actividad en los hombres es 0,233 -superior al valor 0,212 correspondiente a las mujeres-, en relación al color de la piel los valores medios de la actividad de la enzima fueron de 0,227 para los no blancos y 0,220 para los blancos y los valores medios de la actividad enzimática tienden a incrementarse a medida que se aproxima a los valores de 25 a 29,9kg/m2 y ≥30,00kg/m2 del índice de masa corporal. Conclusiones: la actividad de la enzima mieloperoxidasa se encuentra relacionada con el aumento de la glicemia, el sobrepeso y el sexo masculino.Introduction: in the evolution of atherosclerotic cardiovascular disease, oxidative stress is proposed as a potential inducer of inflammation. One of the enzymes of oxidative stress, that links ischemia reperfusion diseases and inflammatory diseases, is myeloperoxidase. Objective: to determine the relationship between the activity of the enzyme myeloperoxidase and different variables such as sex, age and blood levels of glucose, cholesterol and triacylglycerides in workers at the Faculty of Medicine. Methods: a cross-sectional descriptive study was conducted at the Faculty of Medicine of the University of Medical Sciences in Villa Clara from January 2015 to December 2016. The population consisted of 416 workers and a sample of 90 people was selected by probabilistic sampling. The activity of the enzyme myeloperoxidase in serum was determinedin them, as well as blood levels of cholesterol, triglycerides and glucose. Results: the average value of the activity of this enzyme in men is 0.233 -higher than the value of 0.212 corresponding to women-, in relation to skin color the average values of enzyme activity were 0.227 for non-whites and 0.220 for whites and the average values of enzyme activity tend to increase as it approaches the values of 25 to 29.9kg/m2 and ≥30.00kg/m2 of body mass index. Conclusions: myeloperoxidase activity is related to increased glycemia, overweight and male sex

Nivel de conocimientos sobre educación sexual en estudiantes de nuevo ingreso en Medicina

Se realiza un estudio descriptivo con enfoque cualitativo para determinar los conocimientos que sobre sexualidad humana, poseen los alumnos de primer año de la carrera de Medicina de la Universidad de Ciencias Médicas de Villa Clara. Se contó con el consentimiento informado de ellos como principio bioético de la investigación. Se aplicaron al grupo técnicas proyectivas como el completamiento de frases y un cuestionario, cuyos resultados fueron triangulados. Como producto del análisis efectuado se aprecia un nivel de conocimientos sobre el tema ponderado como bueno, aunque se detectaron deficiencias puntuales, las cuales deben resolverse, tanto en el contexto curricular como extracurricular, en coordinación con la cátedra de Educación Sexual de la mencionada entidad.Under the qualitative approach, a descriptive study was carried out to determine the level of knowledge about human sexuality of beginners in the Medicine career in Villa Clara University of Medical Sciences. The students expressed their consent according to the principles of bioethics. Different techniques were applied, for instance, questionnaires, completes the phrases, etc. The results were contrasted. It was concluded that the students have a good level of knowledge about the topic. Even though, there are some remarkable insufficiencies that should be solved through the curricular and extra curricular contexts, in coordination with the Sexual Education Professorship of Villa Clara University of Medical Sciences

Discovering HIV related information by means of association rules and machine learning

Acquired immunodeficiency syndrome (AIDS) is still one of the main health problems worldwide. It is therefore essential to keep making progress in improving the prognosis and quality of life of affected patients. One way to advance along this pathway is to uncover connections between other disorders associated with HIV/AIDS-so that they can be anticipated and possibly mitigated. We propose to achieve this by using Association Rules (ARs). They allow us to represent the dependencies between a number of diseases and other specific diseases. However, classical techniques systematically generate every AR meeting some minimal conditions on data frequency, hence generating a vast amount of uninteresting ARs, which need to be filtered out. The lack of manually annotated ARs has favored unsupervised filtering, even though they produce limited results. In this paper, we propose a semi-supervised system, able to identify relevant ARs among HIV-related diseases with a minimal amount of annotated training data. Our system has been able to extract a good number of relationships between HIV-related diseases that have been previously detected in the literature but are scattered and are often little known. Furthermore, a number of plausible new relationships have shown up which deserve further investigation by qualified medical experts