scholarly journals Cefoperazone Sodium

2020 ◽  
Author(s):  
Keyword(s):  
Cefoperazone Sodium

scholarly journals PRESCRIPTION PATTERN OF PROPHYLACTIC ANTIMICROBIAL AGENTS USED IN PREOPERATIVE PATIENTS AT A TERTIARY CARE TEACHING HOSPITAL

2018 ◽  
Vol 10 (4) ◽  
pp. 128
Author(s):  
Kala P. ◽  
Jamuna Rani R. ◽  
Sangeetha Raja
Keyword(s):  
Teaching Hospital ◽  
Antimicrobial Agents ◽  
Antimicrobial Prophylaxis ◽  
Tertiary Care ◽  
Antibiotic Policy ◽  
Prescription Pattern ◽  
Tertiary Care Teaching Hospital ◽  
Care Teaching ◽  
Institutional Ethics ◽  
Cefoperazone Sodium

Objective: This study was designed to analyze the prescription pattern of prophylactic antimicrobial agents used in preoperative patients.Methods: A descriptive observational study was done at a tertiary care teaching hospital in Potheri from July to December 2013 after obtaining of Institutional Ethics Committee clearance.Results: Total 284 patients were included in this study, out of which 141(49.6%) were females and 143(50%) were males. In the department of general surgery, the very commonly used antimicrobial agents were cefotaxime (81%) followed by cefoperazone sodium (42%). In the orthopaedics department, the frequently used antimicrobial agents were cefoperazone and sulbactam (39%) followed by cefazolin (29%). Most commonly used antimicrobial agent was cefotaxime (100%) in gynaecology department.Conclusion: Antimicrobial prophylaxis is helpful in declining the frequency of post-operative infections. This study explained about the various antimicrobial agents used prior to surgeries. Practitioners must prescribe an antibiotic based on their hospital antibiotic policy.

scholarly journals Determination of Cefoperazone Sodium in Presence of Related Impurities by Linear Support Vector Regression and Partial Least Squares Chemometric Models

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Ibrahim A. Naguib ◽  
Eglal A. Abdelaleem ◽  
Hala E. Zaazaa ◽  
Essraa A. Hussein
Keyword(s):  
Least Squares ◽  
Support Vector Regression ◽  
Partial Least Squares ◽  
Multivariate Calibration ◽  
Drug Product ◽  
Support Vector ◽  
Control Analysis ◽  
Least Squares Regression ◽  
Significant Difference ◽  
Cefoperazone Sodium

A comparison between partial least squares regression and support vector regression chemometric models is introduced in this study. The two models are implemented to analyze cefoperazone sodium in presence of its reported impurities, 7-aminocephalosporanic acid and 5-mercapto-1-methyl-tetrazole, in pure powders and in pharmaceutical formulations through processing UV spectroscopic data. For best results, a 3-factor 4-level experimental design was used, resulting in a training set of 16 mixtures containing different ratios of interfering moieties. For method validation, an independent test set consisting of 9 mixtures was used to test predictive ability of established models. The introduced results show the capability of the two proposed models to analyze cefoperazone in presence of its impurities 7-aminocephalosporanic acid and 5-mercapto-1-methyl-tetrazole with high trueness and selectivity (101.87 ± 0.708 and 101.43 ± 0.536 for PLSR and linear SVR, resp.). Analysis results of drug products were statistically compared to a reported HPLC method showing no significant difference in trueness and precision, indicating the capability of the suggested multivariate calibration models to be reliable and adequate for routine quality control analysis of drug product. SVR offers more accurate results with lower prediction error compared to PLSR model; however, PLSR is easy to handle and fast to optimize.

scholarly journals A Niosomal Gel of Cefoperazone Sodium for Topical Application

2021 ◽  
Vol 59 (3) ◽  
pp. 483-499
Author(s):  
Kumar R Naveen ◽  
Bhattacharya Sayani
Keyword(s):  
Topical Application ◽  
Niosomal Gel ◽  
Cefoperazone Sodium
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