Distant metastasis prediction via a multi-feature fusion model in breast cancer.

This study aimed to develop a model that fused multiple features (multi-feature fusion model) for predicting metachronous distant metastasis (DM) in breast cancer (BC) based on clinicopathological characteristics and magnetic resonance imaging (MRI). A nomogram based on clinicopathological features (clinicopathological-feature model) and a nomogram based on the multi-feature fusion model were constructed based on BC patients with DM (n=67) and matched patients (n=134) without DM. DM was diagnosed on average (17.31±13.12) months after diagnosis. The clinicopathological-feature model included seven features: reproductive history, lymph node metastasis, estrogen receptor status, progesterone receptor status, CA153, CEA, and endocrine therapy. The multi-feature fusion model included the same features and an additional three MRI features (multiple masses, fat-saturated T2WI signal, and mass size). The multi-feature fusion model was relatively better at predicting DM. The sensitivity, specificity, diagnostic accuracy and AUC of the multi-feature fusion model were 0.746 (95% CI: 0.623-0.841), 0.806 (0.727-0.867), 0.786 (0.723-0.841), and 0.854 (0.798-0.911), respectively. Both internal and external validations suggested good generalizability of the multi-feature fusion model to the clinic. The incorporation of MRI factors significantly improved the specificity and sensitivity of the nomogram. The constructed multi-feature fusion nomogram may guide DM screening and the implementation of prophylactic treatment for BC.

[Retrospective analysis of post-traumatic stress disorder].

OBJECTIVE: Introduction: The most common form of disorder in the victims of extreme events that are difficult to treat and correct and are manifested by psychological, social and somatic changes is post-traumatic stress disorder (PTSD). The aim: To study the experience of rehabilitation of participants based on the municipal institution Poltava Regional Clinical Hospital for War Veterans. PATIENTS AND METHODS: Materials and methods: We used statistical observation, consolidation and grouping of materials of statistical observation, method of absolute and relative values. RESULTS: Review: In our country, mental disorders in emergency situations began to be studied especially intensively after the Chernobyl disaster. A considerable amount of research is devoted to this issue. Neuropsychiatric and psychoneurological disorders were analyzed carefully and it was established that in those people who were in the enhanced radiation zone, mental maladaptation arose due to psychological traumas, but not because of ionizing radiation. CONCLUSION: Conclusions: Art therapy turned out to be a popular activity for improving well-being, where the demobilized could do handmade work. Another good way to improve their mood was watching movies with a certain idea, sense. The most influential therapy is relaxation sessions, where the warriors can abstract their mind from everything and enjoy good music or landscapes. Among the group sessions, the "road to peace" theme was the most popular one, where veterans could communicate with a psychologist, express their thoughts and feelings, and, if necessary, consult for the future.

Gut microbiota changes as a risk factor for obesity.

INTRODUCTION: The number of obese people in recent decades is increasing significantly. Among the many aspects of obesity in the last decade, the role and importance of changes in the gut microbiota (GM) attracts special attention. The aim of the review was to analyze the results of studies, focused on the role of gut microbiota in the obesity development. MATERIALS AND METHODS: Screening was conducted on 33 researches, which examined the role of the gut microbiota balance in the development of obesity. Among them, 13 studies were selected for more detailed analysis. RESULTS: Obesity revealed typical changes in GM: an increase in the number of microbes of the genus Firmicutes and a decrease in the number of microbes of the genus Bacteroeidetes, which is particularly vividly demonstrated by studies of rodents. In obese mice, the microfamilies of the genus Firmicutes account for 80% of all GM (in control animals 60%), and the number of microorganisms of the genus Bacteroeidetes decreases by half (from 40 to 20%), compared to mice with normal weight. CONCLUSION: Despite the complexity of the question of the relationship between GM and obesity, the totality of the data received, especially the results of experimental studies, affirm the thesis that changes in GM may contribute to the development of obesity.