1.Application of Oracle and Java for the development of medicine information search software in Wangjing Hospital
Zhiyong ZONG ; Yingjue JIA ; Xiaopeng LIU ; Ruili ZHANG ; Shuang SU ; Quan LIU
Journal of Pharmaceutical Practice 2015;(3):283-286
Objective Since it is a common problem for medical practice that paper instructions for medicine information are difficult to update and inconvenient to search ,this article is to provide convenient service of pharmacy information for clini-cal practice by developing medicine information search software in our hospital .Methods According to the practical needs of clinical study and pharmacy research ,we took appropriate measures to collect data ,categorize contents ,scan pictures ,polish images and extract information for the medicine instructions .Based on the above work ,we applied Oracle 10G to establish medicine information database for our hospital and utilized Java to design medicine information search software .Results Our search software includes 1 201 kinds of medicines ,taking up 98 .85% of the medicines in our catalogue .The users can use four different search methods (including common name search ,commodity name search ,fuzzy search and key word search) to gain the written material and photographic information of medicine instructions .Conclusion With the help of the software of Oracle and Java ,the newly designed software for medicine information search can provide convenient pharmacy information service for clinical practice .
2.A case-control study on clinical characteristics, awareness of foods & drinks and compliance of 111 early-onset gout cases
Yuchen DUAN ; Cibo HUANG ; Suyan CAO ; Yanhong HUANG ; Kuanting WANG ; Ping ZENG ; Yalun DAI ; Ming GAO ; Yongjing CHENG ; Min FENG ; Like ZHAO ; Fang WANG ; Aihua LIU ; Yingjuan CHEN ; Yingjue DU ; Chunmei ZHANG ; Xing ZHOU ; Qian WANG ; Jia HUANG ; Ming YANG
Chinese Journal of Rheumatology 2020;24(5):328-333
Objective:To study the clinical characteristics and compliance of early-onset gout patients by case-control analysis.Methods:A total of 111 early-onset patients (onset age ≤35 years old) were included as Group A, and 111 non-early-onset patients (onset age >35 years old) with matched disease durationwere included as Group B. The differences ofclinical characteristics, causes of acute gout attack, dairy diet habits, compliance, and misunderstanding of the disease were compared.Results:Compared with the non-early-onsetgoutpatients, the early-onset patients had a higher proportion of obesity (63 cases vs 28 cases), family history (36 cases vs 20 cases) and tophus (39 cases vs 23 cases) and higher level of VAS scores (8.5±1.3 vs 7.6±1.7; χ2=22.988, P<0.01; χ2=5.749, P=0.016; χ2=5.729, P=0.017; t=4.639, P<0.01), lowerproportionof the first metatarsophalangeal joint involvement as the initial joint involvement (45.9%, 51 cases vs 59.4%, 66 cases; χ2=4.066, P=0.044), higher proportion of the ankle involvement as the initial joint involvement (34.2%, 38 cases vs 21.6%, 24 cases; χ2=4.386, P=0.036), higher proportion of alcohol drinkers and high fructose drinkers, which was more likely to relate to alcohol intake, strenuous exercise and high fructose intakeas trigger of the flare ( χ2=6.513, P=0.011; χ2=7.126, P=0.008; χ2=1.978, P=0.160), while the proportion of regular exercisers and on diet in the family was lower ( χ2=22.887, P<0.01; t=-4.917, P<0.01). The proportion of poor diet and medication compliance in Group A was higher than that in Group B(57.7%, 64 cases vs 38.7%, 43 cases; χ2=5.207, P=0.022; χ2=5.867, P=0.015). As for the reason for poor treatment compliance, early-onset gout patients were more worry about the side-effects of drugs than non-early onset patients ( χ2=4.190, P=0.041). There was no significant difference between the two groups in the main misunderstanding of gout. Conclusion:Although early onset gout patients are young, their condition is more serious, and compliance is poorer, this group of patients should be highly valued in clinical diagnosis and treatment.