1.Storage Problems and Countermeasures for Injection Drugs Protected from Light in Inpatient Pharmacy of Our Hospital
Cuirong ZHAO ; Qian WANG ; Changhua LI ; Ning HOU
China Pharmacy 2017;28(10):1437-1440
OBJECTIVE:To provide reference for storage management of injection drugs protected from light in inpatient phar-macy of hospital. METHODS:From Jan. to Mar. 2016,the storage items of injection drugs protected from light in inpatient phar-macy of our hospital and the current storage situation were surveyed,the quality management tool PDCA circulation was adopted to improve storage situation and evaluate the effect of PDCA. RESULTS:For improper storage of injection drugs protected from light caused by employees lacking knowledge in photophobic knowledge,unfamiliar to the list of injection drugs protected from light, no packaging in returned drugs,after developing and carrying out corresponding countermeasures,including reinforcing staff train-ing,studying characteristics of the new-coming drug timely,renewal photophobic knowledge and the list of injection drugs protect-ed from light,and ameliorating working procedure,the light storage pass rate was increased from 96.5% to 100% in 310 injection drugs protected from light in inpatient pharmacy. CONCLUSIONS:Appling PDCA can effectively improve the storage management of injection drugs protected from light and provide reliable protection for the drugs'safe and effective application.
2.A cross-sectional study of mental disorders in Ximeng Wa Autonomous County of Yunnan Province
Wenxing LU ; Yueqin HUNAG ; Chuanlin LUO ; Hongguang CHEN ; Xinghua XIANG ; Zhaorui LIU ; Jianfen LI ; Ning JI ; Changhua HU ; Ping HUANG ; Huafen YUAN ; Junshan SHA ; Banglei LIAO
Chinese Mental Health Journal 2015;(11):817-825
Objective:To describe the epidemiological characteristics of mental disorders in Ximeng Wa Au-tonomous County and explore psychosocial risk factors of mental disorders. Methods:Two thousand three hundred and eighty one residents aged 1 8 years and over were sampled using multistage sampling in Ximeng Wa Autono-mous County in 2013. All respondents were investigated by face-to-face interview. Mental disorders were screened out by using the General Health Questionnaire (GHQ)and diagnosed according to the International Classification of Diseases Checklist (ICD-10-Checklist)criteria. Results:Life time prevalence of any mental disorder was 19. 86%(419/2110). The lifetime prevalence rates of substance use disorder,anxiety disorder,insomnia,mood disorder, schizophrenia were 12. 99%(274/2110),6. 30%(133/2110),2. 94%(62/2110),2. 32%(49/2110)and 1. 00%(21/2110)respectively. Male (OR=0. 43),older age (35 -49 years,OR=1. 78;50 -64 years,OR=2. 59;≥65 years,OR=3. 5 1 ),unmarried and other marital status (OR=0. 3 1 ),non-Wa and non-Lahu ethnic groups (OR=0. 29)were associated with neurotic,stress-related and somatoform disorders. Male (OR=2. 41),older age (35 -49 years,OR=2. 29;50-64 years,OR=3. 20;≥65 years,OR=4. 58),non-farmer and non-self-employed occupation (OR=0. 41),and non-Wa and non-Lahu ethnic groups (OR=0. 32)were associated with psychoactive substance use disorder. Male (OR =0. 35 ) and order age (≥65 years,OR =3. 05 ) were associated with mood disorders. Conclusion:Lifetime prevalence of any mental disorder,substance use disorders and anxiety disorders are high in Ximeng Wa Autonomous County. Measures should be strengthened against prevalence of mental disorders in ethnic minority areas.
3.Clinical outcome and imaging characteristics of fatty liver caused by anti-tuberculosis drugs
Yanlong HU ; Changhua LIANG ; Wenguang DOU ; Chenghai LI ; Fenggang NING ; Dailun HOU
Chinese Journal of Infectious Diseases 2020;38(7):416-421
Objective:To investigate the clinical and imaging characteristics of liver density changes in patients with initial-treated drug-sensitive secondary tuberculosis during standardized treatment and after withdrawal when cured.Methods:A retrospective analysis was conducted of 34 patients with initial-treated drug sensitive pulmonary tuberculosis in Beijing Chest Hospital of Capital Medical University and the First Affiliated Hospital of Xinxiang Medical University from January 2014 to April 2019. The chest computed tomography (CT) examination and sputum culture were performed before treatment. The patients received the standardized treatment and they were divided into three groups according to the course of treatment (three, nine and 12 months). Liver density and liver function were followed up during treatment (three, six, nine and 12 months) and after drug withdrawal (3, 6 and 12 months). The measurement data were analyzed by t-test. Results:The average liver density of these three groups gradually decreased during the treatment period, and gradually increased after drug withdrawal. There were five and nine cases of fatty liver occurred at three and six months of treatment in the six-month treatment group, respectively; and six, two and zero cases of fatty liver occurred at three, six, and 12 months after drug withdrawal, respectively. There were four, eight and 11 cases of fatty liver occurred at three, six, and nine months of treatment in the nine-month treatment group, respectively; and seven, two and zero cases occurred at three, six, and 12 months after drug withdrawal, respectively.There were five, 10, 14 and 14 cases of fatty liver occurred at three, six, nine and 12 months of treatment in the 12-month treatment group, respectively; and 12, 10 and five cases occurred at three, six, and 12 months after drug withdrawal, respectively. During the course of treatment, the density of livers of some cases decreased unevenly, and the density of right lobe of the liver was lower than the left lobe. The density of left lobe of the liver was (49.8±4.0) HU, (45.0±3.9) HU, (37.0±9.9) HU, (45.3±8.1) HU, (48.4±6.6) HU at the treatment of six, nine and 12 months and drug withdrawal of three and six months, and the density of right lobe of the liver was (44.0±6.1) HU, (37.2±7.7) HU, (25.5±15.8) HU, (38.5±11.7) HU, (43.8±9.9) HU, the differences were statistically significant ( t=4.611, 4.512, 2.307, 2.803 and 2.291, respectively, all P<0.05), while those were not statistically significant among three months of treatment and 12 months after drug withdrawal ( t=1.573 and 1.199, respectively, both P>0.05). There were two cases showed alanine aminotransferase (ALT) and aspartate amiotransferase (AST) accompanied elevated (ALT>2×upper limits of normal (ULN), AST<2×ULN) at three and six months of treatment, with no abnormalities detected of alkaline phosphatase (ALP) and total bilirubin (TBil). Conclusions:The liver density gradually decreases and uneven fatty liver could appear during anti-tuberculosis treatment, but it gradually returns to normal or relieves after drug withdrawal. The degree of fatty liver is not synchronized with the changes of liver function indexes (ALT, AST, ALP and TBil), which belongs to chronic reversible injury.
4.Simultaneous Determination of Contents of 8 Components in Eucommia ulmoides Leaves by HPLC
Liuji ZHANG ; Ning LI ; Wanqian TU ; Xiangyang LI ; Changhua WANG ; Zhanbo SHAO
China Pharmacy 2019;30(24):3383-3387
OBJECTIVE: To establish content determination method for simultaneously determining aucubin,geniposidic acid,catechin,chlorogenic acid,asperuloside,rutin,isoquercitrin and astragalin in Eucommia ulmoides leaves. METHODS:HPLC method was adopted. The determination was performed on Agilent ZORBAX SB-C18 column with the mobile phase consisted of acetonitrile-0.1% phosphoric acid(gradient elution) at the flow rate of 1.0 mL/min. The detection wavelength was set at 203 nm for aucubin and catechin,239 nm for geniposidic acid and asperuloside,220 nm for chlorogenic acid,354 nm for rutin and isoquercitrin,and 266 nm for astragalin. The sample size was 5 μL. RESULTS: The linear range of aucubin, geniposidic acid, catechin, chlorogenic acid, asperuloside, rutin, isoquercitrin and astragalin were 0.812-6.090 μg(r=0.999 3),0.438-3.285 μg(r=0.999 2),0.045-0.336 μg(r=0.999 2),0.882-6.615 μg(r=0.999 3),0.097-0.726 μg(r=0.999 1),0.064-0.483 μg(r=0.999 3),0.048-0.360 μg(r=0.999 1) and 0.014-0.108 μg(r=0.999 7),respectively. RSDs of precision, stability and reproducibility tests were all lower than 3.5%(n=6). The average recovery rates were 101.60%,103.06%,99.77%,96.93%,98.17%,96.75%,98.97% and 99.60%,with RSDs of 1.42%,2.65%,2.78%,2.05%,2.26%,0.93%,2.79% and 3.08%,respectively(n=6). The contents of aucubin, geniposide, catechin, chlorogenic acid, plantain, rutin, isoquercetin and astragaloside in 12 batches of E. ulmoides leaves from different collection time and planting varieties were 10.903-17.245, 5.578-7.892, 0.198-0.440, 13.890-19.782, 1.008-1.547, 1.102-2.396, 0.267-0.701, 0.150-0.412 mg/g, respectively. The content fluctuated greatly. The contents of aucubin, geniposide, catechin, chlorogenic acid, rutin and pinoresinol diglucoside in cortex of E. ulmoides were 0.299, 0.123, 0.580, 0.112, 0.026,1.961 mg/g, respectively. CONCLUSIONS: The method is simple, reproducible and accurate. It can be used to evaluate the quality of E. ulmoides leaves. There are obvious differences in composition and content of components in different medicinal parts (cortex, leaves) of E. ulmoides.
5.An analysis on cure time of patients with COVID-19
Tingting HUANG ; Siyu LIU ; Xiaotong SHEN ; Jiaxin YANG ; Junxia ZHANG ; Changhua NING ; Lei CAO ; Yongxiao CAO
Journal of Xi'an Jiaotong University(Medical Sciences) 2021;42(1):118-122,162
【Objective】 To analyze the cure time from diagnosis to cure of coronavirus disease 2019(COVID-19). 【Methods】 Based on the time of admission, diagnosis, and discharge of cured cases announced by the provincial and municipal health committees, the average period from diagnosis to discharge was calculated. And based on the aggregate data including the cumulative number of diagnoses, the number of curedcases and the number of deaths and their proportional relationship, we calculated the cure time. 【Results】 The cure time curve of 580 COVID-19 patients had skewed distribution, with a skewness of 1.09, a mean cure time of (14.6±6.7) days, a median of 13 days, and a 95% confidence interval (6.9, 21.0). The average cure time calculated based on the relationship between the cumulative number of diagnoses, the number of cured cases and the number of deaths was (13.3±3.5)d, with a median of 13.5 d. The average value of the cure time calculated based on the proportion of cured cases to the number of endpoints was (14.2±4.2)d, with the median number of 14.5 d. Based on the calculation of the relationship between the cumulative number of diagnosed cases, the number of cured cases and the number of deaths, the median cure time of cases with COVID-19 in Wuhan, Hubei Province, and the whole country was 15 days, 15.5 days and 15 days, respectively. The mediancure time for COVID-19cases in Wuhan, Hubei, and the whole country was 14 days. 【Conclusion】 The median cure time of COVID-19 is 13-15.5 days. There is some variation at different time of the outbreak, but there is not much difference between different regions.
6.Analysis of death time of patients with coronavirus disease 2019
Junxia ZHANG ; Huimin XUE ; Yaxin GONG ; Qi QIN ; Changhua NING ; Lei CAO ; Yongxiao CAO
Journal of Xi'an Jiaotong University(Medical Sciences) 2021;42(1):123-127
【Objective】 To investigate the death time of patients with coronavirus disease 2019 (COVID-19). 【Methods】 The death time was calculated and analyzed using individual data and aggregated data through the daily notification of the epidemic situation and the death cases published on the website of the Heath Commission of China and provinces. 【Results】 In the 153 patients who died of COVID-19, the shortest time from onset to death was 4 days and the longest time was 50 days with the mean±standard deviation of (16.7±9.2) days. The median was 14 days and the 95% confidence interval was 4.6-42.9. The shortest time from admission to death was 1 day and the longest time was 50 days with the mean ± standard deviation of (12.1±7.8) days. The median was 11 days and the 95% confidence interval was 2-32.8. The time curve from diagnosis to death was skewed. The death time from diagnosis to death was 0 to 48 days with the mean ± standard deviation of (11.1±8.9) days. The median was 9 days, the interquartile interval was 10.5 days, and the 95% confidence interval was 0-35.4. It took 3 days from onset to admission and 1 day from admission to diagnosis. Aggregated data showed that the time from diagnosis to death of COVID-19 patients in China, China (except Hubei Province), Hubei Province and Wuhan City was 8, 9, 6 and 6 days, respectively. 【Conclusion】 The time from diagnosis to death of COVID-19 patients varied significantly, with the median time of 6-9 days in different regions.