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Quantifying the effect of in-hospital antimicrobial use on the development of colistin-resistant Acinetobacter baumannii strains: a time series analysis
  1. Rania Kousovista1,
  2. Christos Athanasiou2,
  3. Konstantinos Liaskonis3,
  4. Olga Ivopoulou3,
  5. Vangelis D Karalis4
  1. 1 Department of Mathematics and Applied Mathematics, University of Crete Heraklion Campus, Heraklion, Greece
  2. 2 Pharmacy Department, 401 General Military Hospital of Athens, Athens, Greece
  3. 3 Department of Medical Biopathology, 401 General Military Hospital of Athens, Athens, Greece
  4. 4 Faculty of Pharmacy, Laboratory of Biopharmaceutics – Pharmacokinetics, National and Kapodistrian University of Athens School of Health Sciences, Athens, Greece
  1. Correspondence to Dr Vangelis D Karalis, Faculty of Pharmacy, Laboratory of Biopharmaceutics – Pharmacokinetics, National and Kapodistrian University of Athens School of Health Sciences, Athens 15771, Attica, Greece; vkaralis{at}pharm.uoa.gr

Abstract

Objectives Colistin is currently considered an essential therapeutic option for the treatment of hospital-acquired infections caused by resistant isolates of Acinetobacter baumannii. In this study, conducted in a tertiary care hospital, the effect of previous detection rates and antimicrobial use on colistin-resistant A. baumannii strains was investigated.

Methods Susceptibility data for A. baumannii isolates and colistin use information were collected for 48 consecutive months (January 2014 to December 2017). ARIMA models were used to explore the time series of colistin use and resistance to A. baumannii. In addition, dynamic regression models were used to study the relationships between the use of antimicrobials (colistin, imipenem, meropenem, cefepime, ciprofloxacin) and colistin resistance.

Results The results of the univariate model showed a statistically significant positive association between colistin use and the detection rate of colistin-resistant A. baumannii (p=0.003). Moreover, a multivariate model confirmed the positive association of colistin use with the detection rate of colistin-resistant A. baumannii, also demonstrating statistically significant negative associations with imipenem (p=0.004) and meropenem use (p=0.005).

Conclusions This study quantifies the effect of colistin use on the development of resistant strains. These findings can assist antimicrobial stewardship teams to elaborate their plans and predict the effect of their interventions.

  • pharmacy administration
  • health services administration
  • pharmacy service
  • hospital
  • drug misuse
  • statistics

Data availability statement

No data are available. From January 2014 until December 2017, an observational study was performed in the 401 General Military Hospital of Athens, Greece, which is a tertiary care hospital with medical and surgical wards as well as two intensive care units. The hospital scientific committee gave permission for this research.

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Data availability statement

No data are available. From January 2014 until December 2017, an observational study was performed in the 401 General Military Hospital of Athens, Greece, which is a tertiary care hospital with medical and surgical wards as well as two intensive care units. The hospital scientific committee gave permission for this research.

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