Burnout in Neurosurgery.

BACKGROUND: Burnout is a pervasive psychosocial syndrome that manifests as a chronic response to interpersonal stressors encountered in the occupational setting. Neurosurgeons exhibit a high prevalence rate of burnout, ranging from 33% to 67%. The primary objective of this study is to examine the prevalence of Burnout syndrome within the neurosurgical community and identify the contributing factors. METHODS: A prospective observational study was conducted utilizing an anonymous survey format, incorporating the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) questionnaire. Additional inquiries were made regarding demographic characteristics, occupational factors, lifestyle choices, and the Hospital Anxiety and Depression Scale (HADS) questionnaire. The survey was disseminated between March 23rd, 2023, and April 4th, 2023, utilizing the email registries of the Spanish Society of Neurosurgery (SENEC) and the Latin American Federation of Neurosurgical Societies (FLANC). Descriptive analysis was performed, comparing responses between participants with and without burnout syndrome using cross-tabulation and the Chi-square test to assess the presence of dependency. RESULTS: A total of 282 neurosurgeons completed the survey. The sample comprised 30.1% females and 69.9% males, with a median age within the 30-40 range. Among the surveyed neurosurgeons, 66.7% exhibited a prevalence of burnout, while 23.4% met the criteria for defined burnout. Significantly higher rates of burnout syndrome were observed among residents, specifically those in their fifth year of residency, as well as those whose departments perform a moderate range of surgeries (500-1000), participating in on-call duties, lacking regular physical exercise (at least twice a week), engaging infrequently in social activities with friends, lacking extracurricular hobbies, and obtaining scores exceeding 10 points in any of the HADS subscales. CONCLUSIONS: Burnout syndrome affects nearly a quarter of the neurosurgical specialists included in this study. Moreover, a distinct profile associated with defined burnout among neurosurgeons emerges, encompassing characteristics such as being a fifth-year resident, belongs to departments with a moderate number of surgeries, with few extra-occupational distractions and exhibiting symptoms of depression or anxiety.

Artificial Intelligence Applied to Improve Scientific Reviews: The Antibacterial Activity of Cistus Plants as Proof of Concept.

Reviews have traditionally been based on extensive searches of the available bibliography on the topic of interest. However, this approach is frequently influenced by the authors' background, leading to possible selection bias. Artificial intelligence applied to natural language processing (NLP) is a powerful tool that can be used for systematic reviews by speeding up the process and providing more objective results, but its use in scientific literature reviews is still scarce. This manuscript addresses this challenge by developing a reproducible tool that can be used to develop objective reviews on almost every topic. This tool has been used to review the antibacterial activity of Cistus genus plant extracts as proof of concept, providing a comprehensive and objective state of the art on this topic based on the analysis of 1601 research manuscripts and 136 patents. Data were processed using a publicly available Jupyter Notebook in Google Collaboratory here. NLP, when applied to the study of antibacterial activity of Cistus plants, is able to recover the main scientific manuscripts and patents related to the topic, avoiding any biases. The NLP-assisted literature review reveals that C. creticus and C. monspeliensis are the first and second most studied Cistus species respectively. Leaves and fruits are the most commonly used plant parts and methanol, followed by butanol and water, the most widely used solvents to prepare plant extracts. Furthermore, Staphylococcus. aureus followed by Bacillus. cereus are the most studied bacterial species, which are also the most susceptible bacteria in all studied assays. This new tool aims to change the actual paradigm of the review of scientific literature to make the process more efficient, reliable, and reproducible, according to Open Science standards.

The antimicrobial capacity of Cistus salviifolius and Punica granatum plant extracts against clinical pathogens is related to their polyphenolic composition.

Antimicrobial resistance poses a serious threat to human health worldwide. Plant compounds may help to overcome antibiotic resistance due to their potential resistance modifying capacity. Several botanical extracts and pure polyphenolic compounds were screened against a panel of eleven bacterial isolates with clinical relevance. The two best performing agents, Cistus salviifolius (CS) and Punica granatum (GP) extracts, were tested against 100 Staphylococcus aureus clinical isolates, which resulted in average MIC50 values ranging between 50-80 µg/mL. CS extract, containing hydrolyzable tannins and flavonoids such as myricetin and quercetin derivatives, demonstrated higher activity against methicillin-resistant S. aureus isolates. GP extract, which contained mostly hydrolyzable tannins, such as punicalin and punicalagin, was more effective against methicillin-sensitive S. aureus isolates. Generalized linear model regression and multiple correspondence statistical analysis revealed a correlation between a higher susceptibility to CS extract with bacterial resistance to beta-lactam antibiotics and quinolones. On the contrary, susceptibility to GP extract was related with bacteria sensitive to quinolones and oxacillin. Bacterial susceptibility to GP and CS extracts was linked to a resistance profile based on cell wall disruption mechanism. In conclusion, a differential antibacterial activity against S. aureus isolates was observed depending on antibiotic resistance profile of isolates and extract polyphenolic composition, which may lead to development of combinatorial therapies including antibiotics and botanical extracts.

¿Es posible predecir la presencia de cáncer colorrectal en el análisis sanguíneo? Método de aproximación probabilística / Is it possible to predict the presence of colorectal cancer in a blood test? A probabilistic approach method

Introducción: la valoración del estado de inmunovigilancia (capacidad del organismo para evitar el desarrollo de neoplasias) en el análisis sanguíneo presenta connotaciones pronósticas de interés en el cáncer colorrectal. Evaluamos un posible carácter predictivo de la enfermedad en el análisis sanguíneo y su cuantificación mediante el diseño de un índice de interacción matemático entre varios parámetros sanguíneos, con capacidad predictiva probabilística de presencia de la enfermedad. Método: estudio casos y controles de análisis comparativo de la distribución de parámetros sanguíneos, sobre 266 pacientes con cáncer colorrectal y 266 pacientes sanos, durante el periodo comprendido entre 2009-2013. Resultados: los sujetos con cáncer colorrectal presentaron, con respecto a los controles, diferencias estadísticamente significativas (p < 0,05) en los niveles de plaquetas, fibrinógeno, leucocitos totales, neutrófilos, índices de inmunovigilancia sistémica (ratio neutrófilo/linfocito y ratio plaqueta/linfocito), hemoglobina, hematocrito y eosinófilos. Estas diferencias permitieron el diseño de un perfil analítico sanguíneo de riesgo de enfermedad, cuantificable mediante la aplicación de una fórmula matemática con capacidad de identificación probabilística de los sujetos con mayor riesgo de presencia de enfermedad (área bajo la curva del espacio ROC = 0,85). Conclusiones: Ante la posible existencia de un carácter predictivo de presencia de cáncer colorrectal en el análisis sanguíneo, mostramos que es posible su cuantificación mediante el diseño de un índice de interacción entre varios parámetros sanguíneos. El diseño y desarrollo de índices de interacción entre parámetros sanguíneos constituye una línea de investigación de interés para el desarrollo y mejora de programas de cribado de la enfermedad (AU)

Introduction: The assessment of the state of immunosurveillance (the ability of the organism to prevent the development of neoplasias) in the blood has prognostic implications of interest in colorectal cancer. We evaluated and quantified a possible predictive character of the disease in a blood test using a mathematical interaction index of several blood parameters. The predictive capacity of the index to detect colorectal cancer was also assessed. Methods: We performed a retrospective case-control study of a comparative analysis of the distribution of blood parameters in 266 patients with colorectal cancer and 266 healthy patients during the period from 2009 to 2013. Results: Statistically significant differences (p < 0.05) were observed between patients with colorectal cancer and the control group in terms of platelet counts, fibrinogen, total leukocytes, neutrophils, systemic immunovigilance indexes (neutrophil to lymphocyte ratio and platelet to lymphocyte ratio), hemoglobin, hematocrit and eosinophil levels. These differences allowed the design of a blood analytical profile that calculates the risk of colorectal cancer. This risk profile can be quantified via a mathematical formula with a probabilistic capacity to identify patients with the highest risk of the presence of colorectal cancer (area under the ROC curve = 0.85). Conclusions: We showed that a colorectal cancer predictive character exists in blood which can be quantified by an interaction index of several blood parameters. The design and development of interaction indexes of blood parameters constitutes an interesting research line for the development and improvement of programs for the screening of colorectal cancer (AU)

Is it possible to predict the presence of colorectal cancer in a blood test? A probabilistic approach method.

INTRODUCTION: The assessment of the state of immunosurveillance (the ability of the organism to prevent the development of neoplasias) in the blood has prognostic implications of interest in colorectal cancer. We evaluated and quantified a possible predictive character of the disease in a blood test using a mathematical interaction index of several blood parameters. The predictive capacity of the index to detect colorectal cancer was also assessed. METHODS: We performed a retrospective case-control study of a comparative analysis of the distribution of blood parameters in 266 patients with colorectal cancer and 266 healthy patients during the period from 2009 to 2013. RESULTS: Statistically significant differences (p < 0.05) were observed between patients with colorectal cancer and the control group in terms of platelet counts, fibrinogen, total leukocytes, neutrophils, systemic immunovigilance indexes (neutrophil to lymphocyte ratio and platelet to lymphocyte ratio), hemoglobin, hematocrit and eosinophil levels. These differences allowed the design of a blood analytical profile that calculates the risk of colorectal cancer. This risk profile can be quantified via a mathematical formula with a probabilistic capacity to identify patients with the highest risk of the presence of colorectal cancer (area under the ROC curve = 0.85). CONCLUSIONS: We showed that a colorectal cancer predictive character exists in blood which can be quantified by an interaction index of several blood parameters. The design and development of interaction indexes of blood parameters constitutes an interesting research line for the development and improvement of programs for the screening of colorectal cancer.