1.Determination of the Concentration of Midazolam in Plasma by RP-HPLC-UV Detection
Meihua CAI ; Shanjuan WANG ; Yannan HANG
China Pharmacy 1991;0(03):-
OBJECTIVE:To build up a method of determining the concentration of midazolam in plasma by RPHPLC-UV detection.METHODS:The separation was carried out by a reversed-phase Hypersil ODS column(250mm?4.0mm,5?m) with a mobile phase consisting of methanol-acetonitrile-0.02mol/L potassium phosphate buffer(pH 7.4) (65∶25∶10,V/V).Mida_zolam was extracted from alkalinizing plasma and soluted in the mobile phase then detected at 221nm.RESULTS:The calibration curve had the fine linearity in the concentration range 50~1 600ng/ml(r=0.9 999).The detection limit was 2ng/ml.The absolute recovery was 90.8%~95.4%,the relative recovery was 99.3%~101.3%.The within-day and between-day precision(CV%) was 1.94%~5.16%,3.00%~6.39% respectively.CONCLUSION:The method is simple,stable and highly sensitive and could meet with the research of clinical pharmacokinetics.
2.Contents of dry blood spot free carnitine and acylcarnitines in healthy children aged 0-6 years old
Yannan CAI ; Mingzhi PENG ; Minyan JIANG ; Li LIU
International Journal of Laboratory Medicine 2017;38(16):2179-2182
Objective To conduct the statistical analysis on the free carnitine and acylcarnitines levels in 0?6 years old children by detecting the contents of free carnitine and acylcarnitines in dry blood spot to provide the biological reference range for the diagnosis of fatty acid metabolic disorder and organic acidemia.Methods The levels of acylcarnitines of peripheral blood dry blood spot in 263 normal children were detected by using the isotopic dilution non-derived tandem mass spectrometry.All children were divided into male and female groups according to different genders and divided into the groups according to the age,1-28 d(gestational weeks ≥37 weeks),1-12 months old,13 months-3 years old and 4-6 years old.Results The detection results after normality test found that the levels of free carnitine and acylcarnitines in children showed a normality distribution.The free carnitine and various acylcarnitines levels had no statistical difference between male children and female children (t=0.5,P=0.619).The C4,C5,C6,C10,C12 and C18 had equal variance among various age groups(P>0.05) and could conducted the one way variance analysis;C0,C2,C3,C5,OH,C6,C8,C14,C16 and C18 had the variance heterogeneity among different age groups(P<0.05) and could conduct the rank-sum test(P<0.05).The C0,C2,C3,C5,OH,C6,C8,C10,C12,C14,C16 and C18 had statistical differences among different age groups,the reference value ranges were calculated according to different ages.The difference in C4 and C5 had no statistical significance and the reference value range could be calculated by the merged group.Conclusion It is a very important for the diagnosis and treatment of fatty acid metabolic disorder and organic acidemia to establish the reference value ranges of dry blood spot free carnitine and acylcarnitines in children according to different ages.
3.Determination of the Concentration of Propofol in Plasma by RP-HPLC with Fluorescence Detection
Meihua CAI ; Shanjuan WANG ; Xiangrui WANG ; Yannan HANG
China Pharmacy 2001;0(12):-
OBJECTIVE:To build up a method for the determination of propofol in plasma by RP-HPLC with fluores?cence detection.METHODS:The separation was performed on a reversed-phase Zorbax Eclipse XDB-C 18 column(150mm?4.6mm,5?m)with a mobile phase consisting of methanol-acetonitrile-0.005mol/L sodium acetate buffer(pH4.0)(55∶20∶25,V/V).Propofol was extracted from plasma and dissolved in the mobile phase then detected at276/310nm.RESULTS:The calibration curve had the fine linearity in the concentration range of0.015625~8?g/ml(r=0.9998).The limit of detection(LOD)was1ng/ml(S/N ratio=3),the limit of quantification(LOQ)was10ng/ml.The absolute recovery was89.33%~93.37%,the relative recovery was97.75%~103.31%.The within-day and between-day precision(RSD%)was1.38%~5.02%and4.45%~9.056%respectively.CONCLUSION:The method is simple,stable and highly sensitive and can meet with the research of clinical pharmacokinetics.
4.Risk stratification value of HEART score combined with serial cardiac troponin in emergency patients with chest pain
Yao YU ; Dongxu CHEN ; Fengqing LIAO ; Yannan ZHOU ; Canguang CAI ; Humaerbieke ALIMA· ; Chen CHEN ; Siying ZHOU ; Chenling YAO ; Guorong GU
Chinese Journal of Emergency Medicine 2023;32(4):531-539
Objective:To explore the risk stratification value of HEART score combined with cardiac troponin (cTn) in emergency patients with chest pain.Methods:A total of 11 583 patients with chest pain who visited the Emergency Department of Zhongshan Hospital Affiliated to Fudan University from January to December 2019 were retrospectively collected. Patients who unfinished 0 h high-sensitivity cardiac troponin T (hs-cTnT) or electrocardiogram diagnosed ST-segment elevation myocardial infarction (STEMI) or lost to follow-up were excluded, and 7 057 patients were finally included. The final diagnosis of chest pain and the occurrence of major adverse cardiovascular events within 6 mon (6 m MACEs) were followed up by telephone and medical history. The HEART score of each patient was calculated by two attending physicians, and the patients were divided into the low-risk group (0-3 points), intermediate-risk group (4-6 points) and high-risk group (7-10 points) according to the final score. The risk stratification performance and safety of HEART score were observed and analyzed. A total of 1 884 patients who completed serial hs-cTnT tests were divided into groups according to HEART score (≤3 as low-risk group) and HEART score combined with serial hs-cTnT pathway (HEART score ≤3 and two hs-cTnT measurements <0.03 ng/mL as the low-risk group). The sensitivity (SE), specificity (SP), positive predictive value (PPV) and negative predictive value (NPV) of each diagnostic method were calculated to compare the diagnostic performance of the two predictive values.Results:The patients were divided into 3 groups by HEART score : 2 765 (39.2%) patients in the low-risk group, 3 438 (48.7%) in the intermediate-risk group, and 854 (12.1%) in the high-risk group. The incidence of 6 m MACEs in each group was 1.2%, 18% and 55.3%, respectively. When the low-risk threshold was 2, 23.1% of patients entered the low-risk group and the incidence of 6 m MACEs was 0.9%. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive performance of the HEART score for 6 m MACEs, and the final AUC was 0.831 ( P=0.006, 95% CI: 0.819-0.843). Regarding the occurrence of NSTEMI at the time of this visit, 4 (0.8%) patients were misdiagnosed by using the HEART score alone. Combined with serial troponin detection, the diagnostic SE and NPV were both 100%; at the same time, the diagnostic SE and NPV of 6 m MACEs in patients increased from 98.1% (95% CI: 96.9%-99.1%), 97.9% (95% CI: 96.2%-99%) to 99.1% (95% CI: 97.9%-99.7%) and 98.9% (95% CI: 97.4%-99.6%), the diagnosis SE and NPV of 6 m myocardial infarction and cardiac death in patients increased from 98% (95% CI: 96%-99.2%), 98.6% (95% CI: 97%-99.4%) to 99.2% (95% CI: 97.6%-99.8%) and 99.3% (95% CI: 98.1%-99.9%). Conclusions:The HEART score can be used for risk assessment in emergency patients with chest pain, and a threshold of 2 is recommended for the low-risk group. The diagnostic performance of HEART score combined with serial cTn is better than that of HEART score alone.
5.Construction and validation of early warning model for acute aortic dissection
Fengqing LIAO ; Chenling YAO ; Guorong GU ; Yao YU ; Dongxu CHEN ; Yannan ZHOU ; Canguang CAI ; Humaerbieke ALIMA· ; Chen CHEN ; Siying ZHOU ; Zhenju SONG ; Chaoyang TONG
Chinese Journal of Emergency Medicine 2023;32(7):874-880
Objective:To investigate the clinical characteristics of patients with acute aortic dissection (AAD) through a retrospective and observational study, and to construct an early warning model of AAD that could be used in the emergency room.Methods:The data of 11 583 patients in the Emergency Chest Pain Center from January to December 2019 were retrospectively collected from the Chest Pain Database of Zhongshan Hospital Affiliated to Fudan University. Inclusion criteria: patients with chest pain who attended the Emergency Chest Pain Center between January and December 2019. Exclusion criteria were 1) younger than 18 years, 2) no chest/back pain, 3) patients with incomplete clinical information, and 4) patients with a previous definite diagnosis of aortic dissection who had or had not undergone surgery. The clinical data of 9668 patients with acute chest/back pain were finally collected, excluding 53 patients with previous definite diagnosis of AAD and/or without surgical aortic dissection. A total of 9 615 patients were enrolled as the modeling cohort for early diagnosis of AAD. The patients were divided into the AAD group and non-AAD group according to whether AAD was diagnosed. Risk factors were screened by univariate and multivariate logistic regression, the best fitting model was selected for inclusion in the study, and the early warning model was constructed and visualized based on the nomogram function in R software. The model performance was evaluated by accuracy, specificity, sensitivity, positive likelihood ratio and negative likelihood ratio. The model was validated by a validation cohort of 4808 patients who met the inclusion/exclusion criteria from January 2020 to June 2020 in the Emergency Chest Pain Center of the hospital. The effect of early diagnosis and early warning model was evaluated by calibration curve.Results:After multivariate analysis, the risk factors for AAD were male sex ( OR=0.241, P<0.001), cutting/tear-like pain ( OR=38.309, P<0.001), hypertension ( OR=1.943, P=0.007), high-risk medical history ( OR=12.773, P<0.001), high-risk signs ( OR=7.383, P=0.007), and the first D-dimer value ( OR=1.165, P<0.001), Protective factors include diabetes( OR=0.329, P=0.027) and coronary heart disease ( OR=0.121, P<0.001). The area under the ROC curve (AUC) of the early diagnosis and warning model constructed by combining the risk factors was 0.939(95 CI:0.909-0.969). Preliminary validation results showed that the AUC of the early diagnosis and warning model was 0.910(95 CI:0.870-0.949). Conclusions:Sex, cutting/tear-like pain, hypertension, high-risk medical history, high-risk signs, and first D-dimer value are independent risk factors for early diagnosis of AAD. The model constructed by these risk factors has a good effect on the early diagnosis and warning of AAD, which is helpful for the early clinical identification of AAD patients.
6.Pharmacological therapy for post-stroke depression
Lidi WANG ; Guilan LI ; Pengyuan CAO ; Yannan GUO ; Zhongsheng YANG ; Ya’nan CAI
International Journal of Cerebrovascular Diseases 2023;31(11):846-851
Depression is one of the common and serious complications after stroke. Post-stroke depression (PSD) is associated with poor outcomes and increased mortality. The American Heart Association/American Stroke Association guidelines for the early management of patients with acute ischemic stroke recommend that pharmacological therapy should be administered to patients with PSD. This article reviews the pharmacological therapy for PSD.
7. Analysis on the consciousness of the early cancer treatment and its influencing factors among urban residents in China from 2015 to 2017
Huichao LI ; Kun WANG ; Yannan YUAN ; Ayan MAO ; Chengcheng LIU ; Shuo LIU ; Lei YANG ; Huiyao HUANG ; Pei DONG ; Debin WANG ; Guoxiang LIU ; Xianzhen LIAO ; Yana BAI ; Xiaojie SUN ; Jiansong REN ; Li YANG ; Donghua WEI ; Bingbing SONG ; Haike LEI ; Yuqin LIU ; Yongzhen ZHANG ; Siying REN ; Jinyi ZHOU ; Jialin WANG ; Jiyong GONG ; Lianzheng YU ; Yunyong LIU ; Lin ZHU ; Lanwei GUO ; Youqing WANG ; Yutong HE ; Peian LOU ; Bo CAI ; Xiaohua SUN ; Shouling WU ; Xiao QI ; Kai ZHANG ; Ni LI ; Min DAI ; Wanqing CHEN ; Ning WANG ; Wuqi QIU ; Jufang SHI
Chinese Journal of Preventive Medicine 2020;54(1):69-75
Objective:
To understand the consciousness of the cancer early treatment and its demographic and socioeconomic factors.
Methods:
A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China (CanSPUC) from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The questionnaire collected personal information, the consciousness of the cancer early treatment and relevant factors. The Chi square test was used to compare the difference between the consciousness of the cancer early treatment and relevant factors among the four groups. The logistic regression model was used to analyze the influencing factors related to the consciousness of the cancer early treatment.
Results:
With the assumption of being diagnosed as precancer or cancer, 89.97% of community residents, 91.84% of cancer risk assessment/screening population, 93.00% of cancer patients and 91.52% of occupational population would accept active treatments (