The influence of hospital antimicrobial use on carbapenem-non-susceptible Enterobacterales incidence rates according to their mechanism of resistance: a time-series analysis

Ortíz-Brizuela, Edgar; Caro‐Vega, Yanink; Bobadilla-del-Valle, Miriam; Leal-Vega, Francisco; Criollo-Mora, Elia; Luis, Bruno Ali López; Esteban-‬Kenel, Veronica; Torres-Veintimilla, Estefania; Olivas-Martínez, Antonio; Tovar-Calderón, E.; Torres-González, Pedro; Sifuentes–Osornio, José; Ponce-de-León, Alfredo

doi:10.1016/j.jhin.2020.06.019

Cited by 5 publications

(4 citation statements)

References 26 publications

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“…Comprehensive monitoring of AMC was carried out in 12 of the 28 included studies [ 21 – 23 , 28 , 29 , 32 , 34 , 35 , 37 , 41 , 42 , 44 ], while some studies specifically analyzed the effect of antimicrobial classes on the emergence of AMR: carbapenems (12/28) [ 8 , 14 , 15 , 24 , 26 , 30 , 31 , 33 , 36 , 38 , 40 , 43 ], cephalosporins (12/28) [ 15 , 26 , 27 , 30 , 31 , 33 , 38 , 40 ], fluoroquinolones (10/28) [ 13 – 15 , 24 , 26 , 30 , 31 , 33 , 36 , 43 ] and piperacillin-tazobactam (8/28) [ 14 , 15 , 24 , 30 , 31 , 33 , 36 , 43 ]. All studies reported at least one statistically significant correlation between antimicrobial use and AMR (Table 1 ).…”

Section: Resultsmentioning

confidence: 99%

“…Twenty-one studies (21/28) [ 8 , 13 – 15 , 21 – 23 , 25 , 26 , 30 , 31 , 33 – 36 , 38 – 43 ] used DR as described by Pankratz [ 11 , 12 ]. In the seven remaining studies, the statistical models used, namely, “dynamic lag times series” and “multivariate ARIMA lag structure regression model” were assessed as a DR model (7/28) [ 24 , 27 – 29 , 32 , 37 , 44 ]. One study did not perform lag time correlation [ 27 ], see Table 1 .…”

Section: Resultsmentioning

confidence: 99%

“…Two studies [ 23 , 27 ] reported unclear methods, mentioning only the ARIMA model while both the ARIMA and LTF models are needed to perform a DR model. However, in numerous papers, the term ARIMA was used instead of DR [ 35 , 37 , 41 ], and studies reporting a dynamic relationship between AMR and AMC, suggested a DR model was used. Finally, results were not clearly reported in one studies [ 25 ] and the discussion of limitations was moderately satisfactory in seven articles [ 21 , 23 , 27 , 28 , 34 , 35 , 40 ].…”

Section: Resultsmentioning

confidence: 99%

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Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review

Laffont-Lozes,

Larcher,

Salipante

et al. 2023

Antimicrob Resist Infect Control

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Backgroung Antimicrobial resistance (AMR) is on the rise worldwide. Tools such as dynamic regression (DR) models can correlate antimicrobial consumption (AMC) with AMR and predict future trends to help implement antimicrobial stewardship programs (ASPs). Main body We carried out a systematic review of the literature up to 2023/05/31, searching in PubMed, ScienceDirect and Web of Science. We screened 641 articles and finally included 28 studies using a DR model to study the correlation between AMC and AMR at a hospital scale, published in English or French. Country, bacterial species, type of sampling, antimicrobials, study duration and correlations between AMC and AMR were collected. The use of β-lactams was correlated with cephalosporin resistance, especially in Pseudomonas aeruginosa and Enterobacterales. Carbapenem consumption was correlated with carbapenem resistance, particularly in Pseudomonas aeruginosa, Klebsiella pneumoniae and Acinetobacter baumannii. Fluoroquinolone use was correlated with fluoroquinolone resistance in Gram-negative bacilli and methicillin resistance in Staphylococcus aureus. Multivariate DR models highlited that AMC explained from 19 to 96% of AMR variation, with a lag time between AMC and AMR variation of 2 to 4 months. Few studies have investigated the predictive capacity of DR models, which appear to be limited. Conclusion Despite their statistical robustness, DR models are not widely used. They confirmed the important role of fluoroquinolones, cephalosporins and carbapenems in the emergence of AMR. However, further studies are needed to assess their predictive capacity and usefulness for ASPs.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review

Laffont-Lozes,

Larcher,

Salipante

et al. 2023

Antimicrob Resist Infect Control

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“…In addition, reducing fluoroquinolone exposure exerted a favorable effect on not only fluoroquinolone but also β-lactam and gentamicin susceptibility. Ortiz-Brizuela et al [ 35 ] found that an increase in piperacillin/tazobactam use of one defined daily dose per 100 patient days would lead to an increase of 0.69 in carbapenem-non-susceptible Enterobacteriaceae spp. isolation/10,000 patient days.…”

Section: Discussionmentioning

confidence: 99%

Correlation between Antimicrobial Resistance and the Hospital-Wide Diverse Use of Broad-Spectrum Antibiotics by the Antimicrobial Stewardship Program in Japan

et al. 2023

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Increased antibiotic use and antibiotic homogeneity cause selective pressure. This study investigated the correlation between antibiotic diversity and antimicrobial resistance (AMR) in Gram-negative organisms. The days of therapy/100 patient-days (DOT) for four broad-spectrum antibiotic classes were evaluated for 2015–2022. The antibiotic heterogeneity index (AHI) for the equal use of four classes (25%) and the modified AHI for the equal use of three classes (30%), excluding fluoroquinolones (10%), were measured (target: 1.0). Quarterly antibiotic use markers and the resistance rates against ≥2 anti-Pseudomonas antibiotics were compared. The DOT value was 9.94, and the relative DOT were 34.8% for carbapenems, 32.1% for piperacillin/tazobactam, 24.3% for fourth generation cephalosporins/ceftazidime/aztreonam, and 8.9% for fluoroquinolones. Although no correlation was found between the total DOT and the resistance rate for any bacterium, a significant negative correlation was found between the heterogeneity indices and resistance rates for Pseudomonas aeruginosa and Klebsiella pneumoniae. The significant cutoffs that discriminate the risk of resistance were 0.756 for the AHI and 0.889 for the modified AHI for K. pneumoniae. Antibiotic diversity is more important in preventing AMR than overall antibiotic use. The ideal ratio of broad-spectrum antibiotics should be studied for diversified use to prevent AMR.

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Risk factors and outcomes associated with vancomycin-resistant Enterococcus faecium and ampicillin-resistant Enterococcus faecalis bacteraemia: A 10-year study in a tertiary-care centre in Mexico City

Luis¹,

Sifuentes–Osornio

Lambraño-Castillo³

et al. 2021

Journal of Global Antimicrobial Resistance

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The influence of hospital antimicrobial use on carbapenem-non-susceptible Enterobacterales incidence rates according to their mechanism of resistance: a time-series analysis

Cited by 5 publications

References 26 publications

Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review

Usefulness of dynamic regression time series models for studying the relationship between antimicrobial consumption and bacterial antimicrobial resistance in hospitals: a systematic review

Correlation between Antimicrobial Resistance and the Hospital-Wide Diverse Use of Broad-Spectrum Antibiotics by the Antimicrobial Stewardship Program in Japan

Risk factors and outcomes associated with vancomycin-resistant Enterococcus faecium and ampicillin-resistant Enterococcus faecalis bacteraemia: A 10-year study in a tertiary-care centre in Mexico City

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