Objective To investigate the effects of aerobic exercise during chemotherapy on cancer-related fatigue in breast cancer patients, and related mechanism thereof. Methods Sixty breast cancer patients who underwent radical surgery were randomly assigned to exercise group and control group, 30 patients for each group. Patients in exercise group received regular nursing care plus aerobic exercise during chemotherapy, while patients in control group only received regular nursing care. The revised Piper fatigue scale (RPFS) was used to assess the fatigue degree. Values of hemoglobin concentration(Hb), maximal oxygen uptake (VO2max) and RPFS scores were detected before chemotherapy, at the end of chemotherapy and 4 weeks after chemotherapy, respectively. Results There was no significant difference in Hb concentration before chemotherapy, at the end of chemotherapy and 4 weeks after chemotherapy between two groups (P>0.05). The level of Hb was significantly lower at the end of chemotherapy and 4 weeks after chemotherapy than that before chemotherapy in two groups (P<0.05). There were no significant differences in VO2max and RPFS score before chemotherapy between two groups (P>0.05). At the end of chemotherapy and 4 weeks after chemotherapy, there were no significant differences in VO2max and RPFS scores than those before chemotherapy in exercise group (P>0.05). In control group, value of VO2max was significantly lower at the end of chemotherapy and 4 weeks after chemotherapy than that before chemotherapy (P<0.05), RPFS score was significantly higher than that before chemotherapy (P<0.05). Conclusion Aerobic exercise during chemotherapy can be effectively against cancer-related fatigue, which may be related to the inhibitory effect of aerobic exercise on debasement of VO 2max.

Objective This study aims to monitor the mRNA ratio of podocin to nephrin (PNR) in glomerular podocytes of early diabetic kidney disease (DKD) rat models. The feasibility of using PNR as an early diagnostic indicator for DKD was evaluated by comparing it with the urinary albumin-to-creatinine ratio (U-ACR). Additionally, the early intervention effects of valsartan and fosinopril sodium on DKD were compared. Methods The DKD rat model was established by caudal intravenous injection of streptozotocin (STZ) at a dosage of 60 mg/kg. The early changes in PNR and U-ACR were monitored and compared, followed by timely intervention with valsartan and fosinopril sodium. Hematoxylin and eosin staining (HE) was used to observe glomerular structure, while transmission electron microscopy examined the ultrastructure of glomerular podocytes. ResultsPNR reached the critical value(≥1) on day 9 after modeling, earlier than U-ACR, which reached the critical value(≥30 mg/g) on day 15. Intervention with valsartan and fosinopril sodium on day 9 after modeling significantly reduced U-ACR (P < 0.05), with low-dose valsartan showing better results than high-dose (P>0.05), while high-dose fosinopril sodium outperformed low-dose (P>0.05). Both low doses of valsartan and fosinopril sodium significantly reduced PNR (P<0.05), with no significant effect observed for high doses. The interventions with valsartan and fosinopril sodium improved and maintained glomerular structure and podocyte arrangement. ConclusionPNR changes earlier than U-ACR, indicating its potential as an early diagnostic marker for DKD in rats. Early intervention with valsartan and fosinopril sodium demonstrates a therapeutic effect on DKD in rats.

The analysis of big data in medical field cannot be isolated from the high quality clinical database, and the construction of first aid database in our country is still in the early stage of exploration. This paper introduces the idea and key technology of the construction of multi-parameter first aid database. By combining emergency business flow with information flow, an emergency data integration model was designed with reference to the architecture of the Medical Information Mart for Intensive Care III (MIMIC-III), created by Computational Physiology Laboratory of Massachusetts Institute of Technology (MIT), and a high-quality first-aid database was built. The database currently covers 22 941 medical records for 19 814 different patients from May 2015 to October 2017, including relatively complete information on physiology, biochemistry, treatment, examination, nursing, etc. And based on the database, the first First-Aid Big Data Datathon event, which 13 teams from all over the country participated in, was launched. The First-Aid database provides a reference for the construction and application of clinical database in China. And it could provide powerful data support for scientific research, clinical decision making and the improvement of medical quality, which will further promote secondary analysis of clinical data in our country.
Big Data ; Critical Care ; Databases, Factual ; Humans ; Medical Informatics