1.Cost-minimization Analysis of 3 Therapeutic Regimes of Edaravone Combined Use in the Treatment of Acute Cerebral Infarction
China Pharmacy 2016;27(5):581-583
OBJECTIVE:To explore the pharmacoeconomic effect of Ginkgo dipyidamolum,argatroban or sodium ozagerl combined with edaravone in the treatment of acute cerebral infarction(ACI). METHODS:In retrospective study,64 ACI patients were divided into group A(Ginkgo dipyidamolum+edaravone,22 cases),group B(argatroban+edaravone,19 cases)and group C (sodium ozagerl+edaravone,23 cases). Therapeutic efficacies were observed after 7-14 days of treatment;therapy cost was calculat-ed,and cost-minimization analysis was used to evaluate pharmacoeconomics. RESULTS:There was no statistical significance in to-tal effective rate among 3 groups(P>0.05);the costs of group A,group B and group C were 8 746.36 yuan,10 770.64 yuan and 8 264.67 yuan. Results of sensitivity analysis were in line with those of cost-minimization analysis. CONCLUSIONS:Therapy plan of sodium ozagerl+edaravone is the economical regime in the treatment of ACI .
2.Utilization of Chinese Material Medical Injections in 22 Hospitals of Nanjing Area between 2004 and 2006
China Pharmacy 2007;0(36):-
OBJECTIVE:To evaluate the status quo and tendency of the use of Chinese material medical injection(CMMI) in Nanjing area.METHOD:Chinese material medica injection used in 22 hospital of Nanjing from 2004 to 2006 was analyzed statistically in terms of variety,consumption sum,defined daily dose(DDDs) etc. RESULTS: The consumption sum of CMMI increased year by year,with annual incremental rates of 19.80% and 11.82% respectively.The cardio-cerebral vascular CMMI dominated the first place in terms of consumption sum and DDDs over the 3 years.Lentinan,Shengmai,Shenmai,Puerarin took the lead in consumption sum of single variety.The variety and specification and the number of manufacturers of CMMI increased year by year.CONCLUSION:CMMI plays a key role in clinical treatment,its consumption sum and consumption quantity kept increasing rapidly.
3.Epidemiological characteristics and disease burden of senile dementia death in Jing’an District, Shanghai from 2016 to 2020
Qiuping WAN ; Xiaoming YANG ; Xiaoting CHU ; Xiaolie YIN ; Guohui ZHANG ; Yunhui WANG ; Jianjing XIONG ; Jialie FANG
Shanghai Journal of Preventive Medicine 2022;34(8):736-742
ObjectiveTo analyze the epidemiological characteristics of senile dementia death in Jing’an District from 2016 to 2020, as well as the trends of mortality, standardized mortality, years of life lost (YLL) due to early death, years lived with disability (YLD), and disability-adjusted life year (DALY), and to provide scientific basis for the prevention and control of senile dementia. MethodsThe distribution of senile dementia in terms of gender, age, marital status and education level was investigated in the senile dementia death cases from 2016 to 2020 in Jing’an District. The YLL, YLD, DALY and their rates of the residents of Jing’an District from 2016 to 2020 were calculated by using Global Burden of Disease (GBD 2019) research method and results in combination with the corresponding population data. ResultsCompared to those without dementia, deaths with dementia were more likely to be female, more likely to be over 80 years old, less likely to be married, and more likely to have education level under middle school. Among the deaths with dementia, only 27.70% of the primary cause of death was dementia, and the other main causes were cerebrovascular disease, coronary heart disease and diabetes mellitus, which accounted for 25.54%, 17.81% and 7.28%, respectively. There was a significant gender difference in the burden of disease on senile dementia in Jing’an District. Mortality, standardized mortality, YLL, YLD and DALY rates of females were higher than those of males. The burden of disease on senile dementia increased with age. The change trend of mortality and YLL rate from 2016 to 2020 was not statistically significant, while the YLD rate and DALY rate showed an upward trend, which was statistically significant. ConclusionAs the life span of residents in Jing’an District increases and the population aging deepens, the burden of disease on senile dementia is still heavy. This requires extensive attention of the whole society, and active exploration of prevention and control strategies and measures for senile dementia, so as to improve the life quality of patients and reduce the burden of disease.
4.Time-series analysis of air pollution effects on diabetes related mortality
Xiaoting CHU ; Jianjing XIONG ; Xiaoming YANG ; Xiaolie YIN ; Guohui ZHANG ; Qiuping WAN ; Yunhui WANG ; Lan WANG
Journal of Environmental and Occupational Medicine 2021;38(11):1237-1243
Background Diabetes mellitus is a major public health issue at present. Previous studies have shown that ambient air pollution is a risk factor for diabetes. Objective This study aims to explore the acute effects of ambient air pollution on diabetes related death in Shanghai Jing’an District. Methods Daily air pollution data, meteorological data, and diabetes related mortality data in 2013−2019 in Shanghai Jing’an District were collected. A generalized additive model (GAM) was established to conduct time-series analysis on the short-term effect of ambient air pollution on diabetes related mortality, and gender- and age-stratified analysis on susceptibility of various groups to ambient air pollution exposures. Results For every 10 μg·m−3 increase of the concentrations of PM2.5, PM10, SO2, and NO2, the diabetes related mortality increased by 2.47% (95%CI: 1.56%−3.38%), 2.02% (95%CI: 1.29%−2.75%), 5.75% (95%CI: 2.99%−8.58%), and 3.93% (95%CI: 2.49%−5.39%) at lag05 respectively (P<0.05). In the stratified analysis, exposures to increased concentrations of PM2.5, PM10, SO2, and NO2 raised the mortality risks from diabetes in male, female, and ≥65 years oldgroups (P<0.05). However, the differences in mortality risks from diabetes due to air pollution within gender and age groups were statistically insignificant. Conclusion In Shanghai Jing'an District, the elevated levels of ambient air pollutants, including PM2.5, PM10, SO2, and NO2, are significantly associated with the increase of diabetes related mortality, and there are lag effects and cumulative effects. The ≥65 years olds are more susceptible to the impact of air pollution on diabetes related deaths.