Perianal application of DTZ cream after haemorrhoidectomy significantly reduces postoperative pain and is perceived as beneficial, with no increase in associated morbidity.
Weight gain after cholecystectomy is one of the major surgical problems consistent with morbidities and long-term mortalities. Here, we aimed to study the impact of palliative cholecystectomy on weight gain and nutritional status of the patients before and in 1, 4 and 6 months after surgery. We performed a prospective survey on a cohort of 48 patients undergoing elective cholecystectomy. The nutritional status of the patients was collected by nutrition nurse and analysed by NutriBase software. There were 13 (16%) females and 35 (84%) males with the mean age of 51.8 ± 1.97. In 6 months after surgery, patients had higher values of BMI, daily energy expenditure, carbohydrate and lipid consumption and a decreased level of protein consumption. Weight gain after surgery was caused by an increase in fat consumption which resulted in the weight gain and worsening of lipid profile. Dietary consultation, shortly after surgery, would improve patient outcome after cholecystectomy.
Summary
Arm lymphedema is a side effect of surgery and radiation therapy in patients with breast cancer. There are several methods to measure lymphedema arm volume, such as water displacement (WD) and circumferential measurement (CM). Although these techniques have a satisfactory level of accuracy, they have some limitations for clinical use in practical applications. To overcome these drawbacks, a horizontal‐vertical image scanning (HVIS) tool, is presented as a valid method for arm volume measurement. To predict the arm volume, an evolutionary ensemble feature selection learning (named EEFSL) comprising different base learners (KNN, SVM, ANFIS, Decision Tree, and Naïve Bayes) is presented. In order to improve the performance of the EEFSL model, its hyperparameters are optimized using genetic algorithm (GA). The hyperparameters include the weights of different base learners and the specific features for each base learner. The fitness function of GA is to maximize the correlation between predicted and actual arm volumes. The proposed method was successfully developed for arm measurement of 60 arms from 30 women with arm lymphedema. Obtained results indicate that the proposed HVIS‐EEFSL method is a reliable and valid technique to measure arm volume of patients with lymphedema, suitable for daily clinical use instead of WD and CM.
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