Distributed lags time series analysis versus linear correlation analysis (Pearson's r) in identifying the relationship between antipseudomonal antibiotic consumption and the susceptibility of Pseudomonas aeruginosa isolates in a single Intensive Care Unit of a tertiary hospital
| Autor: | Viktorija Erdeljić, Smiljka Kalenić, Ana Budimir, Ksenija Makar-Aušperger, Robert Likić, Zrinka Bošnjak, Luka Bielen, Igor Francetić |
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| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
Microbiology (medical)
Veterinary medicine Time Factors Cefepime Statistics as Topic Microbial Sensitivity Tests medicine.disease_cause Tazobactam Meropenem Microbiology Antibiotic resistance Drug Resistance Bacterial medicine Humans Pseudomonas Infections Pharmacology (medical) Retrospective Studies Antibacterial agent Pseudomonas aeruginosa business.industry General Medicine Drug Utilization Hospitals Anti-Bacterial Agents Ciprofloxacin Intensive Care Units Infectious Diseases susceptibility Pseudomonas intensive care unit antimicrobial prescribing business Piperacillin medicine.drug |
| Popis: | The relationship between antibiotic consumption and selection of resistant strains has been studied mainly by employing conventional statistical methods. A time delay in effect must be anticipated and this has rarely been taken into account in previous studies. Therefore, distributed lags time series analysis and simple linear correlation were compared in their ability to evaluate this relationship. Data on monthly antibiotic consumption for ciprofloxacin, piperacillin/tazobactam, carbapenems and cefepime as well as Pseudomonas aeruginosa susceptibility were retrospectively collected for the period April 2006 to July 2007. Using distributed lags analysis, a significant temporal relationship was identified between ciprofloxacin, meropenem and cefepime consumption and the resistance rates of P. aeruginosa isolates to these antibiotics. This effect was lagged for ciprofloxacin and cefepime [1 month (R=0.827, P=0.039) and 2 months (R=0.962, P=0.001), respectively] and was simultaneous for meropenem (lag 0, R=0.876, P=0.002). Furthermore, a significant concomitant effect of meropenem consumption on the appearance of multidrug-resistant P. aeruginosa strains (resistant to three or more representatives of classes of antibiotics) was identified (lag 0, R=0.992, P |
| Databáze: | OpenAIRE |
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