1.Study of analgesia and anti-inflammatory effect of Shui ethnic medicine Maguangwa*
Yalan XIA ; Xinkai YAO ; Yihong XU ; Yuesheng YU
Chongqing Medicine 2013;(23):2762-2764
Objective To investigate the analgesic and anti-inflammatory effects of Shui ethnic medicine Maguangwa .Methods Acetic acid-provoked writhing and hot plate provocation of pain were adopted to observe the analgesic effect of Shui ethnic medicine Maguangwa ,and xylene-induced ear swelling was used to observe the anti-inflammatory effect of Shui ethnic medicine Maguangwa There were five experimental groups ,i .e .,the blank control group ,the aspirin group(positive control) ,the 0 .84 g/kg Shui ethnic medicine Maguangwa group(group Ⅰ) ,the 0 .42 g/kg Shui ethnic medicine Maguangwa group(group Ⅱ ) ,and the 0 .21 g/kg Shui ethnic medicine Maguangwa group(group Ⅲ) .Results The writhing latency increased significantly and the writhing frequency de-creased significantly in the positive control group ,group Ⅰ and group Ⅱ ,when compared with the blank control group(P<0 .05) . The writhing latency and frequency differed insignificantly between group Ⅲ and the blank control group(P>0 .05) .Before medica-tion the pain threshold of mice in each group differed insignificantly (P>0 .05) .At 30 min ,60 min ,90 min and 120 min after medi-cation ,the pain threshold increased significantly in the positive control group ,group Ⅰ ,and group Ⅱ ,when compared to the blank control group(P<0 .05) .Meanwhile ,the pain threshold differed insignificantly between group Ⅰ and the positive control group(P>0 .05) ,or between group Ⅲ and the blank control group(P>0 .05) .When compared with the blank control group ,the right ear mass and degree of swelling decreased significantly in the positive control group ,group I and group Ⅱ (P<0 .05) .However ,the right ear mass and degree of swelling differed insignificantly between group Ⅰ and the positive control group(P>0 .05) ,or between group Ⅲ and the blank control group(P>0 .05) .Conclusion Shui ethnic medicine Maguangwa exhibits potent analgesic and anti-inflammatory effects in a dose-dependent manner .
2.Optimization of initial antibacterial drug regimens for treating common staphylococcal infection in ICU
Xinkai YAO ; Yaling WU ; Ren LIU ; Qixin ZHOU ; Changqing LI
Chongqing Medicine 2015;(10):1300-1304
Objective To optimize the antibacterial drug regimen in ICU common staphylococcal infection.Methods The pharmacokinetic and pharmacodynamic parameters of antibacterial drugs were collected in combination with the hospital ICU anti-microbial drug resistance monitoring reports from the national antimicrobial resistance investigation net (Mohnarin)of the Ministry of Health and the performance standards for antimicrobial susceptibility testing (2013)issued by the clinical and laboratory stand-ards institute (CLSI),the minimum inhibitory concentration (MIC)of staphylococci was set by using the discrete uniform distribu-tion method and 16 kinds of administration regimens with 6 antimicrobial agents were worked out.The best initially antimicrobial regimen was optimized by using the pharmacokinetic and pharmacodynamic models and Monte Carlo simulations of cumulative frac-tion of response (CFR)from 5 000 patients.Results The alternative initially drug regimens to the infectious bacteria were:linezolid 0.40 g twice daily and vancomycin 0.75 g twice daily for staphylococcus aureus;amikacin 0.60 g once daily and linezolid 0.40 g twice daily,and vancomycin 0.75 g twice daily for hemolytic staphylococci and staphylococcus epidermidis;linezolid 0.40 g twice daily and vancomycin 0.75 g twice daily for methicillin-resistant Staphylococcus aureus;ampicillin/sulbactam 1.50 g 4 times daily, cefuroxime 0.75 g 4 times daily,amikacin 0.60 g once daily,moxifloxacin 0.40 g once daily for methicillin-sensitive staphylococcus aureus.Conclusion In the Staphylococcus aureus infection occurred in ICU,if which being methicillin-sensitive could be deter-mined,ampicillin/sulbactam,cefuroxime,amikacin and moxifloxacin could be selected for treatment,and linezolid or vancomycin could be selected for treating possible methicillin-resistant Staphylococcus aureus infection or undetermined whether being methicil-lin-resistant Staphylococcus aureus infection.
3.Analysis of related factors of frailty in very elderly patients with multimorbidity
Tingwen WENG ; Min ZONG ; Liyan SHEN ; Yaping WANG ; Cheng QIAN ; Yajian LI ; Xinkai QU ; Songbai ZHENG ; Jing YAO
Chinese Journal of Geriatrics 2024;43(7):857-862
Objective:To investigate the factors contributing to frailty in very elderly patients with multimorbidity.Methods:This cross-sectional study enrolled 119 very elderly patients with multimorbidity who were hospitalized in the Department of Geriatrics of Huadong Hospital Affiliated to Fudan University from August 2022 to March 2023.The study aimed to understand the basic status of multimorbidity by collecting general information, the number and types of diseases, and frailty status.The subjects were divided into frail and non-frail groups through comprehensive geriatric assessment.Various factors including gender, age, Tinetti balance gait score, risk of sarcopenia, dementia, depression, risk of deep vein thrombosis, dysphagia, comorbidity index, medication count, Basic Activities of Daily Living(BADL)score, Instrumental Activities of Daily Living(IADL)score, Nutritional Risk Screening 2002(NRS-2002)score, Norton pressure injury risk assessment score, and Social Support Rating Scale(SSRS)score were compared.The correlation between each factor and the occurrence of frailty was analyzed using univariate analysis and multivariate Logistic regression analysis.Results:A total of 119 elderly inpatients with multimorbidity, with an average age of 90.8±5.9 years old, were included in the study.The incidence of frailty was 68.9%(82 cases).Univariate analysis revealed significant statistical differences between the frail group and the non-frail group in various factors including age( t=-3.131, P=0.002), Tinetti score( Z=-5.544, P<0.001), risk of sarcopenia( χ2=39.205, P<0.001), dysphagia( χ2=5.937, P=0.015), Charlson comorbidity index( Z=-2.565, P=0.010), medication count( Z=-3.325, P<0.001), BADL( Z=-5.871, P<0.001), IADL( Z=-5.062, P<0.001), Norton score( Z=-5.922, P<0.001), and SSRS social support( Z=-2.637, P=0.008).Multivariate logistic regression analysis showed that the Tinetti score( OR=0.843, 95% CI: 0.737-0.966, P=0.014), decreased muscle strength( OR=11.226, 95% CI: 2.157-58.432, P=0.004), sarcopenia( OR=18.084, 95% CI: 2.041-106.211, P=0.009), Norton score( OR=0.462, 95% CI: 0.254-0.838, P=0.011), and medication count( OR=1.153, 95% CI: 1.000-1.329, P=0.049)were independently associated with frailty. Conclusions:In very elderly patients with multimorbidities, the occurrence of frailty is notably increased.Frailty is linked to multiple risks including falls, muscle weakness/sarcopenia, pressure ulcer risk, and polypharmacy, and these risks are independent of other factors.
4.Application of Monte Carlo Simulation Method in the Formulation of Primary Medication Regimen for Antibacterial Drug Treatment of ICU Patients with Escherichia coli Infection
Xinkai YAO ; Hongwen WU ; Hailin LIU ; Zhougui LING
China Pharmacy 2019;30(17):2394-2398
OBJECTIVE: To provide reference for the formulation of primary medication regimen for antibacterial drug treatment of ICU patients with Escherichia coli infection. METHODS: Based on the surveillance report on E. coli resistance in hospitals issued by CHINET China bacterial drug resistance surveillance network in 2016, 19 third class A hospitals in China were collected as E. coli clinically isolated from ICU wards. Antibiotics with resistance rate of less than 40% to E. coli and with high utilization rate in clinical practice were selected as the research objects, and a simulated drug delivery scheme was formulated. Monte Carlo simulation method was used to simulate the clinical effect of different dosage regimens on 10 000 cases among “patients with E. coli infection” in ICU wards. The target thresholds were %fT>MIC>50% (piperacillin/tazobactam, cefoperazone/sulbactam),%fT>MIC>40% (meropenem), fcmax/MIC>10 (amikacin). The cumulative response percentage (CFR) to the target threshold requires that CFR be greater than 90% for the optimal regimen. The results were compared with those of 275 clinical ICU pationts. RESULTS: Four antibiotics were identified, namely cefoperazone/sulbactam, piperacillin/tazobactam, meropenem and amikacin; sixteen medication regimen were simulated, including 1 kind of cefoperazone/sulbactam “3.0 g, q8 h”; 3 kinds of piperacillin/tazobactam “2.25 g, q6 h” “3.375 g, q8 h” and “3.375 g, q6 h”; 2 kinds of meropenem “0.5 g, q8 h” “1.0 g, q8 h”; 3 kinds of amikacin “0.4 g, q24 h” “0.6 g, q24 h” and “0.8 g, q24 h”. Their CFR values were higher than 90%, all of them could be regarded as primary medication regimen. The clinical results were basically consistent with the simulation results. CONCLUSIONS: Above medication regimen of piperacillin/tazobactam, cefoperazone/sulbactam, meropenem and amikacin can be used as initial empirical drug selection for patients with E. coli infection in ICU.