Viborgschou5829

The purpose of this study was to identify clinical and chest computed tomography (CT) features associated with a severe form of coronavirus disease 2019 (COVID-19) and to propose a quick and easy to use model to identify patients at risk of a severe form.

A total of 158 patients with biologically confirmed COVID-19 who underwent a chest CT after the onset of the symptoms were included. There were 84 men and 74 women with a mean age of 68±14 (SD) years (range 24-96years). There were 100 non-severe and 58 severe cases. Their clinical data were recorded and the first chest CT examination was reviewed using a computerized standardized report. Univariate and multivariate analyses were performed in order to identify the risk factors associated with disease severity. Two models were built one was based only on qualitative CT features and the other one included a semi-quantitative total CT score to replace the variable representing the extent of the disease. Areas under the ROC curves (AUC) of the two models wereVID-19.

We have developed a new qualitative chest CT-based multivariate model that provides independent risk factors associated with severe form of COVID-19.

To prospectively investigate the capabilities of texture analysis (TA) based on apparent diffusion coefficient (ADC) map of the entire tumor volume and the whole volume of peri-tumoral edema, in discriminating between high-grade glioma (HGG) and low-grade glioma (LGG).

A total of 33 patients with histopathological proven glioma were prospectively included. There were 20 men and 13 women with a mean age of 54.5±14.7 (standard deviation [SD]) years (range 34-75years). TA parameters of whole tumor and peri-tumoral edema were extracted from the ADC map obtained with diffusion-weighted spin-echo echo-planar magnetic resonance imaging at 1.5-T. TA variables of HGG were compared to those of LGG. learn more The optimum cut-off values of TA variables and their corresponding sensitivity, specificity and accuracy for differentiating between LGG and HGG were calculated using receiver operating characteristic curve analysis.

Mean and median tumoral ADC of HGG were significantly lower than those of LGG, at 1.23×10

mm

/s and 1.21×10

mm

/s cut-off values, yielding 70% sensitivity each (95% CI 59-82% and 61-80%, respectively), 80% (95% CI 79-98%) and 90% (95% CI 82-97%) specificity, and 73% (95% CI 66-91%) and 76% (95% CI 72-90%) accuracy, respectively. Significant differences in tumoral and peri-tumoral kurtosis were found between HGG and LGG at 1.60 and 0.314 cut-off values yielding sensitivities of 74% (95% CI 58-83%) and 70% (95% CI 59-84%), specificities of 90% (95% CI 80-95%) and 70% (95% CI 64-83%) and accuracies of 79% (95% CI 69-89%) and 70% (95% CI 64-77%), respectively.

Measurements of whole tumoral and peri-tumoral TA, based on ADC maps, provide useful information that helps distinguish between HGG and LGG.

Measurements of whole tumoral and peri-tumoral TA, based on ADC maps, provide useful information that helps distinguish between HGG and LGG.

Hydration and nutrition are critical to achieving optimal performance. This study aimed to assess the impact of limited oral intake in the operating room environment on surgical resident health, well-being, and performance.

Electronic survey was sent to 94 surgical trainees at our institution in 2020. Chi-square analyses were performed to assess for differences in survey responses by sex.

A single tertiary-care institution.

Surveys were sent to surgical residents and fellows in general surgery, neurosurgery, and orthopedic surgery. Seventy-nine (80%) of the 94 residents and fellows responded.

Of the 79 responses, most trainees (79%) experienced dehydration within 6 hours of operating. Forty-four (56%) reported no fluid intake for greater than 6 hours on average, and 39 (49%) reported that they frequently had difficulty rehydrating in between cases. Most of the respondents (70%) frequently experienced symptoms of dehydration, including orthostasis, headache, and constipation. Fifty-six (71%) believed that dehydration frequently affected their performance. Compared to men, women were more likely to feel dehydrated within 4 hours of operating (58% vs. 25%, p = 0.005). Women were also more likely to have difficulty rehydrating in between cases (75% vs. 38%, p = 0.0026), experience symptoms of dehydration (92% vs. 60%, p = 0.0049), and report that dehydration affects surgical performance (88% vs. 64%, p = 0.0318).

Prolonged fasting and dehydration are common issues that may negatively impact performance and wellbeing of surgical trainees. Also, dehydration may affect men and women differently.

Prolonged fasting and dehydration are common issues that may negatively impact performance and wellbeing of surgical trainees. Also, dehydration may affect men and women differently.In our healthcare system, mindful of patient safety and the reduction of medical errors, simulation-based training has emerged as the cornerstone of medical education, allowing quality training in complete safety for patients. Initiated by anaesthesiologists, this teaching mode effectively allows a gradual transfer of learning, and has become an essential tool in cardiology teaching. Cardiologists are embracing simulation to master complex techniques in interventional cardiology, to manage crisis situations and unusual complications and to develop medical teamwork. Simulation methods in cardiology include high-fidelity simulators, clinical scenarios, serious games, hybrid simulation and virtual reality. Simulation involves all fields of cardiology transoesophageal echocardiography, cardiac catheterization, coronary angioplasty and electrophysiology. Beyond purely technical issues, simulation can also enhance communication skills, by using standardized patients, and can improve the management of situations related to the announcement of serious diseases. In this review of recent literature, we present existing simulation modalities, their applications in different fields of cardiology and their advantages and limitations. Finally, we detail the growing role for simulation in the teaching of medical students following the recent legal obligation to use simulation to evaluate medical students in France.