New statistical technique for analyzing MIC-based susceptibility data

Jan van de Kassteele; Marga G van Santen-Verheuvel; Femke D H Koedijk; Alje P van Dam; Marianne A B van der Sande; Albert J de Neeling

doi:10.1128/AAC.05777-11

New statistical technique for analyzing MIC-based susceptibility data

Jan van de Kassteele, Marga G van Santen-Verheuvel, Femke D H Koedijk, Alje P van Dam, Marianne A B van der Sande, Albert J de Neeling

Department of Public Health

Research output: Contribution to journal › A1: Web of Science-article › peer-review

Abstract

Seventeen laboratories participated in a cooperative study to validate the regional susceptibility testing of Neisseria gonorrhoeae in The Netherlands. International reference strains were distributed. Each laboratory determined the MICs of ciprofloxacin, penicillin, and tetracycline, for each strain by Etest. To explore a more transparent assessment of quality and comparability, a statistical regression model was fitted to the data that accounted for the censoring of the MICs. The mean MICs found by all of the laboratories except three were closer than one 2-fold dilution step to the overall mean, and the mean MICs of each antimicrobial agent were close to the MICs for the international reference strains. This approach provided an efficient tool to analyze the performance of the Dutch decentralized gonococcal resistance monitoring system and confirmed good and comparable standards.

Original language	English
Journal	Antimicrobial Agents and Chemotherapy
Volume	56
Issue number	3
Pages (from-to)	1557-1563
Number of pages	7
ISSN	0066-4804
DOIs	https://doi.org/10.1128/AAC.05777-11
Publication status	Published - 2012

Keywords

Anti-Bacterial Agents/pharmacology
Ciprofloxacin/pharmacology
Drug Resistance, Bacterial
Microbial Sensitivity Tests/statistics & numerical data
Neisseria gonorrhoeae/drug effects
Observer Variation
Penicillins/pharmacology
Quality Control
Regression Analysis
Tetracycline/pharmacology

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10.1128/AAC.05777-11

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title = "New statistical technique for analyzing MIC-based susceptibility data",

abstract = "Seventeen laboratories participated in a cooperative study to validate the regional susceptibility testing of Neisseria gonorrhoeae in The Netherlands. International reference strains were distributed. Each laboratory determined the MICs of ciprofloxacin, penicillin, and tetracycline, for each strain by Etest. To explore a more transparent assessment of quality and comparability, a statistical regression model was fitted to the data that accounted for the censoring of the MICs. The mean MICs found by all of the laboratories except three were closer than one 2-fold dilution step to the overall mean, and the mean MICs of each antimicrobial agent were close to the MICs for the international reference strains. This approach provided an efficient tool to analyze the performance of the Dutch decentralized gonococcal resistance monitoring system and confirmed good and comparable standards.",

keywords = "Anti-Bacterial Agents/pharmacology, Ciprofloxacin/pharmacology, Drug Resistance, Bacterial, Microbial Sensitivity Tests/statistics & numerical data, Neisseria gonorrhoeae/drug effects, Observer Variation, Penicillins/pharmacology, Quality Control, Regression Analysis, Tetracycline/pharmacology",

author = "{van de Kassteele}, Jan and {van Santen-Verheuvel}, {Marga G} and Koedijk, {Femke D H} and {van Dam}, {Alje P} and {van der Sande}, {Marianne A B} and {de Neeling}, {Albert J}",

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language = "English",

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pages = "1557--1563",

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TY - JOUR

T1 - New statistical technique for analyzing MIC-based susceptibility data

AU - van de Kassteele, Jan

AU - van Santen-Verheuvel, Marga G

AU - Koedijk, Femke D H

AU - van Dam, Alje P

AU - van der Sande, Marianne A B

AU - de Neeling, Albert J

N1 - NPP

PY - 2012

Y1 - 2012

N2 - Seventeen laboratories participated in a cooperative study to validate the regional susceptibility testing of Neisseria gonorrhoeae in The Netherlands. International reference strains were distributed. Each laboratory determined the MICs of ciprofloxacin, penicillin, and tetracycline, for each strain by Etest. To explore a more transparent assessment of quality and comparability, a statistical regression model was fitted to the data that accounted for the censoring of the MICs. The mean MICs found by all of the laboratories except three were closer than one 2-fold dilution step to the overall mean, and the mean MICs of each antimicrobial agent were close to the MICs for the international reference strains. This approach provided an efficient tool to analyze the performance of the Dutch decentralized gonococcal resistance monitoring system and confirmed good and comparable standards.

AB - Seventeen laboratories participated in a cooperative study to validate the regional susceptibility testing of Neisseria gonorrhoeae in The Netherlands. International reference strains were distributed. Each laboratory determined the MICs of ciprofloxacin, penicillin, and tetracycline, for each strain by Etest. To explore a more transparent assessment of quality and comparability, a statistical regression model was fitted to the data that accounted for the censoring of the MICs. The mean MICs found by all of the laboratories except three were closer than one 2-fold dilution step to the overall mean, and the mean MICs of each antimicrobial agent were close to the MICs for the international reference strains. This approach provided an efficient tool to analyze the performance of the Dutch decentralized gonococcal resistance monitoring system and confirmed good and comparable standards.

KW - Anti-Bacterial Agents/pharmacology

KW - Ciprofloxacin/pharmacology

KW - Drug Resistance, Bacterial

KW - Microbial Sensitivity Tests/statistics & numerical data

KW - Neisseria gonorrhoeae/drug effects

KW - Observer Variation

KW - Penicillins/pharmacology

KW - Quality Control

KW - Regression Analysis

KW - Tetracycline/pharmacology

U2 - 10.1128/AAC.05777-11

DO - 10.1128/AAC.05777-11

M3 - A1: Web of Science-article

C2 - 22232288

SN - 0066-4804

VL - 56

SP - 1557

EP - 1563

JO - Antimicrobial Agents and Chemotherapy

JF - Antimicrobial Agents and Chemotherapy

IS - 3

ER -

New statistical technique for analyzing MIC-based susceptibility data

Abstract

Keywords

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