Trombocitopenia inducida por tamoxifeno y letrozol

Medicin

Detection of Relevant Heavy Metal Concentrations in Human Placental Tissue: Relationship between the Concentrations of Hg, As, Pb and Cd and the Diet of the Pregnant Woman

Heavy metals can cross the placental barrier and reach the fetal compartment, threatening fetal development. Pregnant women can acquire these through food, drinking water, toxic habits or simply by breathing polluted air. The placenta has been described as a biomarker of maternal and fetal exposure to different toxic elements. Objectives: The main objective of this study was to test the possible existence of heavy metal deposits (Pb, As, Cd and Hg) in the placentas of women who gave birth at term in our setting, analyzing the influence of daily life and dietary habits. Methods: We studied 103 placentas, obtained by consecutive sampling, of women that delivered in the Regional Maternity Hospital of Malaga between March and June, 2021. As, Cd and Pb concentrations were analyzed using mass spectrometry techniques. Hg concentration was studied according to US EPA method 7473. Women also answered a questionnaire with epidemiological variables. Results: Detectable concentrations were found in 14.56% [As], 44.6% [Cd], 81.5% [Pb] and 100% [Hg]. [Pb] and [As] correlated significantly (Spearman’s Rho of 0.91 and <0.001), as did [Hg] and [Cd] (Spearman’s Rho 0.256, p < 0.004). The [Pb] and [AS] concentrations were significantly higher in cases of tap water consumption. [Hg] concentrations predicted the birth weight of female newbornsThis research received no external funding. This article is part of Soledad Molina-Mesa’s doctoral thesis. Partial funding for open access charge: Universidad de Málag

A Benign Ovarian Tumour developing an Endometrial Cancer? Sertoliform Ovarian Cystoadenoma getting together with an Endometrioid Adenocarcinoma

Medicin

Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images

Introduction: Ovarian tumors are the most common diagnostic challenge for gynecologists and ultrasound examination has become the main technique for assessment of ovarian pathology and for preoperative distinction between malignant and benign ovarian tumors. However, ultrasonography is highly examiner-dependent and there may be an important variability between two different specialists when examining the same case. The objective of this work is the evaluation of different well-known Machine Learning (ML) systems to perform the automatic categorization of ovarian tumors from ultrasound images. Methods: We have used a real patient database whose input features have been extracted from 348 images, from the IOTA tumor images database, holding together with the class labels of the images. For each patient case and ultrasound image, its input features have been previously extracted using Fourier descriptors computed on the Region Of Interest (ROI). Then, four ML techniques are considered for performing the classification stage: K-Nearest Neighbors (KNN), Linear Discriminant (LD), Support Vector Machine (SVM) and Extreme Learning Machine (ELM). Results: According to our obtained results, the KNN classifier provides inaccurate predictions (less than 60% of accuracy) independently of the size of the local approximation, whereas the classifiers based on LD, SVM and ELM are robust in this biomedical classification (more than 85% of accuracy). Conclusions: ML methods can be efficiently used for developing the classification stage in computer-aided diagnosis systems of ovarian tumor from ultrasound images. These approaches are able to provide automatic classification with a high rate of accuracy. Future work should aim at enhancing the classifier design using ensemble techniques. Another ongoing work is to exploit different kind of features extracted from ultrasound images

SARS-CoV-2 Infection and C-Section: A Prospective Observational Study

Pregnant women are particularly vulnerable to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. In addition to unfavorable perinatal outcomes, there has been an increase in obstetric interventions. With this study, we aimed to clarify the reasons, using Robson's classification model, and risk factors for cesarean section (C-section) in SARS-CoV-2-infected mothers and their perinatal results. This was a prospective observational study that was carried out in 79 hospitals (Spanish Obstetric Emergency Group) with a cohort of 1704 SARS-CoV-2 PCR-positive pregnant women that were registered consecutively between 26 February and 5 November 2020. The data from 1248 pregnant women who delivered vaginally (vaginal + operative vaginal) was compared with those from 456 (26.8%) who underwent a C-section. C-section patients were older with higher rates of comorbidities, in vitro fertilization and multiple pregnancies (p < 0.05) compared with women who delivered vaginally. Moreover, C-section risk was associated with the presence of pneumonia (p < 0.001) and 41.1% of C-sections in patients with pneumonia were preterm (Robson's 10th category). However, delivery care was similar between asymptomatic and mild-moderate symptomatic patients (p = 0.228) and their predisposing factors to C-section were the presence of uterine scarring (due to a previous C-section) and the induction of labor or programmed C-section for unspecified obstetric reasons. On the other hand, higher rates of hemorrhagic events, hypertensive disorders and thrombotic events were observed in the C-section group (p < 0.001 for all three outcomes), as well as for ICU admission. These findings suggest that this type of delivery was associated with the mother's clinical conditions that required a rapid and early termination of pregnancy.This project was supported by public funds that were obtained in competitive calls: Grant COV20/00021 (EUR 43,000 from the Instituto de Salud Carlos III-Spanish Ministry of Health) and co-financed with Fondo Europeo de Desarrollo Regional (FEDER) funds

Estudio morfológico e inmunohistoquímico placentario en el retraso de crecimiento intrauterino / Juan Pedro Martínez Cendán ; directores Juan Pedro Martínez Cendán, Lorenzo Abad Martínez, Juan José Parrilla Paricio.

Tesis-Universidad de Murcia.MEDICINA ESPINARDO. DEPOSITO. MU-Tesis 385.Consulte la tesis en: BCA. GENERAL. ARCHIVO UNIVERSITARIO. T.M.-1047

Ponencias de la I jornada Obstétrica para residentes de Obstetricia y Ginecología (R1 y R2) de la Región de Murcia.

Obstetricia y ginecologiaLa idea de realizar la I Jornada Obstétrica para Residentes de Obstetricia y Ginecología de la Región de Murcia nace desde los profesores de Obstetricia y de Ginecología en el grado de Medicina en la UCAM, observando que la docencia se basa en la formación teórica, debate sobre la aplicación de la formación teórica en la práctica asistencial y la familiarización en simulación, que permite abordar la formación práctica sobre determinadas técnicas obstétricas que por su gravedad, baja frecuencia…es muy difícil de aprender en el trabajo asistencial de un residente. Con esta ilusión nos animamos a solicitar colaboración a los cuatro hospitales de la Región de Murcia que tienen actualmente docencia en Obstetricia y Ginecología (H. Rafael Méndez de Lorca, H. G. U. Reina Sofía de Murcia, H.C.U. Virgen de la Arrixaca de Murcia y H.G.U. Santa Lucía de Cartagena), agradeciendo a sus Jefes de Servicio la buena acogida a este proyecto y permitiendo que sus residentes participaran y obteniendo la implicación de dos facultativos por hospital docente. El 15 de abril del 2016 se realizó en el Campus de los Jerónimos de la UCAM la I Jornada Obstétrica para residentes de Obstetricia y Ginecología (R1 y R2) de la Región de Murcia. En donde se trabajó en dos mesas redondas, la primera titulada “Parto” y la segunda “Ecografía obstétrica” en donde se impartieron cuatro ponencias en cada una de ellas (un ponente de cada hospital docente), pudiéndose debatir entre los ponentes y los asistentes la aplicación teórica en cada uno de los Servicios. Por la tarde, se realizó un taller de habilidades, en donde los residentes pudieron familiarizarse con las maniobras requeridas para solucionar un encajamiento de hombros, la colocación de un balón intrauterino ante una hemorragia postparto y visualizar las ventajas docentes que aporta un simulador de ecografía en el aprendizaje de la ecografía obstétrica. La aceptación y entusiasmo mostrado por los residentes fue nuestra recompensa. En este libro queda reflejado el trabajo de los ponentes de los cuatro hospitales docentes, porque pensamos que puede ser de ayuda a todo el colectivo de residentes y de facultativos especialistas de área en su formación continuada. Por último, quiero agradecer a todas las personas que han ayudado a realizar este proyecto y que sin su colaboración hubiera sido imposible: sociedad ginecológica de Murcia, jefes de servicio, ponentes, profesores, personal administrativo y al grado de Medicina de la UCAM. Siendo mi último y cariñoso agradecimiento a los residentes de Obstetricia y Ginecología, que son la finalidad de este proyecto, por su total aceptación y participación. Anticipando que el próximo curso deseamos realizar una Jornada Ginecológica, y así ir alternado con la Jornada Obstétrica. Dr. Juan Pedro Martínez Cendán. Jefe de Sección de Ginecología. H.G.U. Santa Lucía de Cartagena. Profesor en el Grado en Medicina de la UCAM.Medicin

Infecciones del tracto genital inferior y enfermedad inflamatoria pélvica

Medicin

Trombocitopenia inducida por tamoxifeno y letrozol

Medicin