1.The relationships study between traditional Chinese medicine syndrome types and aspirin resistance of patients with acute cerebral infarction
Xuebing WU ; Zhiliang YU ; Xiaoyang YAO ; Yufan XIE ; Bo LI ; Haitao SHEN ; Buqing FU
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2014;(6):431-434
Objective To investigate the relationships between aspirin resistance (AR) and laboratory indexes and different types of traditional Chinese Medicine(TCM)syndrome in patients with acute cerebral infarction. Methods Two hundred and eight different types of TCM syndromes of patients with acute cerebral infarction admitted from January 2012 to November 2013 in the Neurology Department of Shanghai Seventh People's Hospital were divided into AR group and aspirin sensitive(AS)group according to the rate of AR. Simultaneously,28 healthy volunteers in the same period were assigned in a healthy control group. The changes of red blood cell volume distribution width coefficient of variation(RDW-CV),platelet count(PLT)and homocysteine(Hcy)levels were observed in the three groups. The correlation between different types of TCM syndromes and AR,PLT,RDW-CV,and Hcy was analyzed by non-conditional logistic regression. Results The total incidence of AR was 29.32%(61/208)in 208 patients with acute cerebral infarction. There were 165 cases with Qi deficiency and blood stasis syndrome,the incidence of AR being 26.06%(43/165);32 cases with wind phlegm obstructing channel syndrome,the incidence of AR, 43.75%(14/32);11 cases with liver yang hyperactivity syndrome,the incidence of AR,36.36%(4/11);in the comparisons,the incidence rates of AR among the above types of syndromes had no statistical significant differences (P>0.05). Compared with the healthy control group,the levels of PLT,RDW-CV,Hcy in AR group and AS group of various types of TCM syndrome were increased,the PLT and RDW-CV levels in patients with Qi deficiency and blood stasis syndrome in AR group were more significantly elevated in the comparisons between AR and AS groups, there were statistical significant differences〔PLT (×109/L):212.16±66.48 vs. 187.54±56.85, RDW-CV:(14.34±3.16)% vs.(13.20±2.16)%,both P<0.05〕;the level of Hcy in patients with wind phlegm obstructing channel syndrome in AR group was increased more significantly than that in AS group,the difference between the two groups being statistically significant(μmol/L:27.29±18.64 vs. 21.36±14.61,P<0.05). Logistic regression analysis showed,increased PLT〔odds ratio(OR)=1.007 2,95%confidence interval(CI):1.001 2-1.013 2,P=0.018 5〕and RDW-CV〔OR=1.165 4,95%CI:1.007 9-1.347 4,P=0.038 8)was independence risk factor of AS development. Conclusion The elevation of RDW-CV,PLT,Hcy in level reflects the index of AR production, especially in patients with acute cerebral infarction accompanied by Qi deficiency and blood stasis syndrome and wind phlegm obstructing channel syndrome.
2.Analyses on allocation and utilization of class-B large medical equipments at public hospitals under Pudong New Area
Jianjun GU ; Kun XIONG ; Buqing YU ; Haihan CHEN ; Xingbin LIAO ; Di XUE
Chinese Journal of Hospital Administration 2019;35(1):50-53
Objective To analyze the allocation and utilization of class-B large medical equipments at public hospitals under Pudong New Area,Shanghai.Methods Data on the allocation and utilization of class-B large medical equipments were collected by a questionnaire survey of 17 public hospitals under Pudong New Area from June to July 2017 and were analyzed in descriptive statistics.Results There were 55 units of class-B large medical equipments at the public hospitals under by Pudong New Area.The average utilization rates of MRI,CT and DSA were 52.62%,61.49% and 24.43% respectively.Conclusions The number of class-B large medical equipments has increased at such hospitals,but the services using DSA need to be extended.
3.Analysis on allocation of large medical equipment in Shanghai
Kun XIONG ; Jianjun GU ; Haihan CHEN ; Buqing YU ; Xingbin LIAO ; Di XUE
Chinese Journal of Hospital Administration 2018;34(9):774-777
Objective To analyze the allocation and equity of Class-A and Class-B large medical equipment in Shanghai, and to compare them with those in other parts of China and in other OECD countries. Methods The data of large medical equipments were collected from the Health and Family Planning Commission of Shanghai, government websites, relevant research reports and the database of OECD. Gene-coefficients were adopted to evaluate the equity of large equipment allocation. Results In terms of Class-A and Class B large equipments like CTs, MRIs and DSAs per million population, the number for Shanghai by the end of 2015, was 1.325, 5.30, 2.13 and 3.81 units respectively. Except for CTs, this figure was higher than national average, yet lower than average of other OECD countries. In addition, the equity in allocation of Class-B large medical equipment was better than that of Class-A large medical equipment in Shanghai. Conclusions The overall deployment level of large medical equipments in Shanghai remains to be increased, and the equity in allocation of Class-A large medical equipment deserves more attention.
4.Analysis on return on investment of three types of large medical equipments at public hospitals under Pudong New Area
Haihan CHEN ; Jianjun GU ; Kun XIONG ; Ming LI ; Buqing YU ; Di XUE
Chinese Journal of Hospital Administration 2018;34(9):778-781
Objective To analyze the return on investment of 3 types of large medical equipments at Pudong's public hospitals in Shanghai.Methods Data on the numbers and purchasing expenditure, annual utilization headcounts, annual income and annual costs of the MRIs, CTs and DSAs were collected from these hospitals, and their breakeven points and recovery period were analyzed in the study. Results At these hospitals, CTs had relatively a higher return on investment in 2016, with 95 000 headcounts per hospital. At the interest rates of 1% , 3% and 5% , nine hospitals could recover their investment, at an average recovery period of 2.88 years, 3.23 years and 3.84 years respectively. That for DSS was poor. Conclusions These hospitals should improve the business performance of these equipments by means of rational purchase, enhanced utilization and sharing mechanism.