Objective To evaluate the effects of gastrointestinal reaction through the breast cancer chemotherapy period with improved traditional Chinese medicine ( TCM) hot ironing technology. Methods We randomly divided 80 cases of breast cancer in the chemotherapy period into control group and treatment group (40 cases in each group ). The patients of control group used Granisetron Hydrochloride Injection 3 mg, bid, for three days, while the patients of treatment group used improved TCM hot ironing technology on Zhongwan for 30 mins, qd for 3 consecutive days. The nausea, vomiting, anorexia and its degree changing were compared at chemotherapy day, 1d, 2d and 3d after chemotherapy between two groups. Results The proportion of nausea, vomiting and anorexia degree in treatment group from the day of chemotherapy to the 3 days after chemotherapy were significantly super to those of control group (P < 0. 05). Conclusions Improved TCM hot ironing technology can improve gastrointestinal reaction through chemotherapy period and worthy for clinical promotion.

It was a retrospective cohort study. Eighty maintenance hemodialysis (MHD) patients with corona virus disease 2019 (COVID-19) were enrolled, among whom 48 patients survived and 32 died. The clinical data between the survival and death groups were compared. The Cox regression model was used to analyze the risk factors of death in MHD patients with COVID-19, and a survival prediction model was constructed. The results showed that age, lesion-cumulative number of lung segments, C-reactive protein, procalcitonin, serum ferritin, interleukin-6, D-dimer, serum phosphorus, and proportions of males, diabetes and hypoxemia in the death group were higher than those in the survival group (all P<0.05). Increased age ( HR=1.039, 95% CI 1.007-1.072, P=0.017), diabetes ( HR=2.688, 95% CI 1.018-6.991, P=0.046), increased C-reactive protein ( HR=1.006, 95% CI 1.001-1.011, P=0.012), and increased serum phosphorus ( HR=1.573, 95% CI 1.015-2.438, P=0.043) were independent influencing factors of death in MHD patients with COVID-19. The survival prediction model was established based on age, diabetes, C-reactive protein and blood phosphorus. The area under the receiver operating characteristic curve of the combined model for survival time at 7-day, 14-day, and 21-day were 0.751 (95% CI 0.690-0.811), 0.768 (95% CI 0.712-0.824), and 0.780 (95% CI 0.729-0.831), respectively. The concordance index of cross- validation as internal validation was 0.797 (95% CI 0.757-0.837). Increased age, diabetes, elevated C-reactive protein and elevated blood phosphorus are independent risk factors of COVID-19 death in MHD patients, and the survival prediction model built by those factors has good efficacy.