Rising incidence of carbapenem resistant isolates: an Argentinian hospital’s experience. More trouble in the aftermath of the COVID-19 pandemic
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Abstract
Introduction: During COVID-19 outbreaks, disproportionate use of antibiotics, high Intensive Care Units burden and longer in-hospital stays may have aggravated the emergency posed by carbapenem-resistant isolates. Therefore, we set out to determine whether the incidence of carbapenem-resistant isolates rose in a tertiary care center in Santa Fe, Argentina during the period with active cases of COVID-19. Material and methods: In this retrospectively designed analytic epidemiologic study, two periods were defined: Period 1 (without active cases of COVID-19) from September 2019 to August 2020 and Period 2 (starting at the onset of the first wave of COVID-19 in this Institution) from September 2020 to June 2021. All clinically relevant microbiological samples taken during these periods in the Internal Medicine, Surgical and Intensive Care Unit wards were included. The primary analysis of interest was the differential incidence between the two periods, overall and in the Intensive Care Units wards in particular. Results: 9,135 hospitalizations, 50,145 patient-days of analysis. 7,285 clinical samples were taken, with an overall positivity for carbapenem-resistant isolates of 12.1% (n=883). Overall carbapenem-resistant isolates incidence during Period 2 was 2.5 times higher than in Period 1 (2.52 vs 0.955/100 patient-days, p<0.001). Intensive Care Units’ carbapenem-resistant isolates incidence raised from 6.78 to 8.69/100 patient-days in Period 2 (p=0.006). Conclusions: We found alarming rates of carbapenem-resistant isolates in our center, 2.5 times higher in the period following the first wave of COVID-19. This rise was due to a higher amount of clinically relevant microbiological samples taken and to a higher carbapenem resistance among Enterobacteria and non-fermentative Gram-negative bacilli. To our knowledge, this is one of the few Latin-American reports on the effect of the COVID-19 pandemic on carbapenem-resistant isolates incidence.
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SciScore for 10.1101/2021.11.11.21266237: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Software and Algorithms Sentences Resources Statistical analyses were performed both with OpenEpi and SPSS Statistics v27.0. SPSSsuggested: (SPSS, RRID:SCR_002865)Graphs were generated using Microsoft Excel 365. Microsoft Excelsuggested: (Microsoft Excel, RRID:SCR_016137)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was …SciScore for 10.1101/2021.11.11.21266237: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Ethics not detected. Sex as a biological variable not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Table 2: Resources
Software and Algorithms Sentences Resources Statistical analyses were performed both with OpenEpi and SPSS Statistics v27.0. SPSSsuggested: (SPSS, RRID:SCR_002865)Graphs were generated using Microsoft Excel 365. Microsoft Excelsuggested: (Microsoft Excel, RRID:SCR_016137)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We found bar graphs of continuous data. We recommend replacing bar graphs with more informative graphics, as many different datasets can lead to the same bar graph. The actual data may suggest different conclusions from the summary statistics. For more information, please see Weissgerber et al (2015).
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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