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Open AccessArticle

Association of Antibiotic Use with the Resistance Epidemiology of Pseudomonas aeruginosa in a Hospital Setting: A Four-Year Retrospective Time Series Analysis

1
Department of Mathematics, University of Crete, Heraklion, 70013 Crete, Greece
2
Pharmacy Department, General Military Hospital of Athens, 11525 Athens, Greece
3
Department of Medical Biopathology, General Military Hospital of Athens, 11525 Athens, Greece
4
Department of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, 15784 Athens, Greece
*
Author to whom correspondence should be addressed.
Sci. Pharm. 2021, 89(1), 13; https://doi.org/10.3390/scipharm89010013
Received: 14 December 2020 / Revised: 6 February 2021 / Accepted: 22 February 2021 / Published: 5 March 2021
Background: Even though, Pseudomonas aeruginosa is a common cause of hospital-acquired infections, treatment is challenging because of decreasing rates of susceptibility to many broad-spectrum antibiotics. Methods: Consumption data of eight broad spectrum antimicrobial agents and resistance rates of P. aeruginosa were collected for 48 consecutive months. Autoregressive integrated moving average (ARIMA) and transfer functions models were used to develop relationships between antibiotic use and resistance. Results: Positive correlations between P. aeruginosa resistance and uses of ciprofloxacin (p < 0.001), meropenem (p < 0.001), and cefepime (p = 0.005) were identified. Transfer function models showed the quantified effect of each of these antibiotics on resistance. Regarding levofloxacin, ceftazidime, piperacillin/tazobactam and imipenem, no significant relationships were found. For ceftazidime and levofloxacin, this was probably due to their low consumption, while for imipenem the reason can possibly be ascribed to the already high established P. aeruginosa resistance in the hospital. Conclusion: In the hospital setting, the effect of antimicrobial agents’ consumption on the susceptibility epidemiology of P. aeruginosa differs significantly for each one of them. In this study, the role of precedent use of meropenem, cefepime and ciprofloxacin was quantified in the development of P. aeruginosa resistance. View Full-Text
Keywords: antimicrobial stewardship; antibiotic resistance; pseudomonas aeruginosa; time series analysis; dynamic regression models antimicrobial stewardship; antibiotic resistance; pseudomonas aeruginosa; time series analysis; dynamic regression models
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MDPI and ACS Style

Kousovista, R.; Athanasiou, C.; Liaskonis, K.; Ivopoulou, O.; Karalis, V. Association of Antibiotic Use with the Resistance Epidemiology of Pseudomonas aeruginosa in a Hospital Setting: A Four-Year Retrospective Time Series Analysis. Sci. Pharm. 2021, 89, 13. https://doi.org/10.3390/scipharm89010013

AMA Style

Kousovista R, Athanasiou C, Liaskonis K, Ivopoulou O, Karalis V. Association of Antibiotic Use with the Resistance Epidemiology of Pseudomonas aeruginosa in a Hospital Setting: A Four-Year Retrospective Time Series Analysis. Scientia Pharmaceutica. 2021; 89(1):13. https://doi.org/10.3390/scipharm89010013

Chicago/Turabian Style

Kousovista, Rania; Athanasiou, Christos; Liaskonis, Konstantinos; Ivopoulou, Olga; Karalis, Vangelis. 2021. "Association of Antibiotic Use with the Resistance Epidemiology of Pseudomonas aeruginosa in a Hospital Setting: A Four-Year Retrospective Time Series Analysis" Sci. Pharm. 89, no. 1: 13. https://doi.org/10.3390/scipharm89010013

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