1.Clinical application of allergen detection in recurrent childhood asthma
Manling TANG ; Zuiming JIANG ; Min GU ; Qing JI ; Juan LI ; Wei HU ; Zhilin ZHOU
International Journal of Laboratory Medicine 2016;37(5):616-617,620
Objective To explore the application of allergen detection in children with recurrent asthma and its clinical signifi‐cance .Methods The clinical data of 524 cases of children with recurrent asthma in this hospital ,from February 2013 to February 2015 ,were retrospectively analysed .According to age ,these children with recurrent asthma were divided into three groups:250 ca‐ses were enrolled into infants group(0- <1 years old) ,150 cases enrolled into cheepers group(1- <3 years old) ,124 cases were enrolled in children group (≥3 years old) .Children in the three groups were treated with allergen detection ,and positive rates and distribution of allergens were compared among three groups .Results The total positive rate of allergen detection was 39 .69%(208/524) .The positive rate of allergen detection was the highest in children group(66 .13% ) ,and the lowest in infants group (24 .00% ) ,and there were statistically significant differences in the positive rates among the three groups(P<0 .05) .The top 3 common allergens were milk ,household dust mite and cat dander .The positive rates of household dust mite and house dust were the highest in children group ,but lowest in infants group ,there were statistically significant differences in the positive rate among the three groups(P<0 .05) .Conclusion Allergen detection is particularly important for children with recurrent asthma ,which not only could quickly find the etiology of asthma and identify children who are susceptible to asthma ,but also provide references for early intervention in childhood asthma .
2.Study on Preparation and Quality Standard of Jiekang Lotion
Ying JI ; Shailong NIU ; Zhilin WU ; Feng SHI ; Xin LIU ; Yilei GUO
China Pharmacy 2005;0(15):-
OBJECTIVE: To prepare gynecological Jiekang lotion and to establish its quality standard. METHODS: The Caffeotannic acid in Flos Lonicerae, the Berberine in Cortex Phellodendri and the Ammothamnine in Radix Sophorae Flavescentis were identified by TLC; HPLC was adopted to determine the content of Osthole with Hypersil DOS C18 as chromatograpic column. The mobile phase consisted of acetonitrile-water (54∶46) with a flow rate of 1.1mL? min-1. The detection wavelength was set at 321nm. RESULTS: Both the chief components in Jiekang lotion and the corresponding reference substances showed the identical discrimination reactions. The linear range of Osthole was 13~130?g?mL-1. CONCLUSION: The method is sensitive in qualitative reaction, specific in TLC identification, accurate in HPLC quantitation and recurrent. The established standard is applicable for the quality control of Jeikang lotion.
3.Content Feature Mining of Medical Reviews and Its Impact on Patients' Utilization of Online Consultation Services
Zhilin JI ; Qi YU ; Jiao LU ; Peifeng HE ; Qichao GAO
Journal of Medical Informatics 2024;45(7):62-67,102
Purpose/Significance To expound the content features of online medical reviews and its impact on the utilization of pa-tients'online consultation services,and to provide references for the information management of online medical platforms.Method/Process The LDA topic model based on TF-IDF is constructed,the semantic analysis method based on sentiment dictionary is adopted to mine the content features of online medical reviews,and the principal component analysis(PC A)is applied to classify and explore them,and the regression analysis is carried out by binary logistic.Result/Conclusion The content features of online medical reviews are divided into 3 categories,including 9 indicators.Among them,the attributes of reviewers,timeliness,consultation process,service atti-tude and platform feedback have a significant impact on the utilization of efficient online consultation services by patients.It is suggested to improve the utilization level of online consultation services by optimizing related services of online medical platform review section.