Database Conversion and Analysis of Antimicrobial Resistance Profile for Microscan using BacLink 2 Software.
- Author:
Jae Seok KIM
1
;
Young Kyung LEE
;
Ji Young PARK
;
Hee Jung KANG
;
Sung Ha KANG
;
Young Chul KIM
;
Hyoun Chan CHO
Author Information
1. Department of Laboratory Medicine, Hallym University College of Medicine, Korea. kangheejung@hallym.or.kr
- Publication Type:Original Article
- Keywords:
BacLink 2;
WHONET 5.1;
Antimicrobial susceptibility testing;
Microscan
- MeSH:
Laboratories, Hospital;
Microcomputers
- From:Journal of Laboratory Medicine and Quality Assurance
2003;25(1):189-193
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
BACKGROUND: In hospital laboratory using Microscan, the search for an isolate or the analysis for antimicrobial susceptibility rates were obtained by the Data Management System (DMS) software. However, it is hard to convert DMS database to other file formats in addition to some limitation in using the database. We applied BacLink 2 and WHONET 5.1 softwares to convert and analyse DMS database for the utilization of the isolate profiles and the antimicrobial resistance rates. METHODS: Specimen and microbial data were printed as 'Short report form', an ASCII text file, from Microscan DMS. BacLink 2 software was used to convert the printed file to dBASE format file. Statistical analyses were performed using WHONET 5.1 software. RESULTS: Data of isolates were obtained as 'Short report form' in one month intervals. This file could be converted to other database file using BacLink 2 software. The antimicrobial resistant profiles were obtained, and the susceptibility, intermediate resistant, and resistant rates for each isolates could be analyzed. CONCLUSIONS: In this study, BacLink 2 and WHONET 5.1 software were successfully applied for the conversion of the database. Analysis of isolate profiles and antimicrobial resistant rates could be performed in other personal computer systems. The database management by BacLink 2 and WHONET 5.1 software could be applicable for the convenient statistical analysis in microbiology laboratories using Microscan.
