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Research Articles

Epidemiology, time course, and risk factors for hospital-acquired bloodstream infections in a cohort of 14,884 patients before and during the COVID-19 pandemic

ORCID Icon, , , , , , , , , , , , , & show all
Pages 776-785 | Received 24 Apr 2023, Accepted 24 Jul 2023, Published online: 26 Sep 2023

References

  • Magill SS, O'Leary E, Janelle SJ, et al. Changes in prevalence of health care-associated infections in U.S. hospitals. N Engl J Med. 2018;379(18):1732–1744. doi: 10.1056/NEJMoa1801550.
  • Ong SWX, Tan YK, Chia PY, et al. Air, surface environmental, and personal protective equipment contamination by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) from a symptomatic patient. JAMA. 2020;323(16):1610–1612. doi: 10.1001/jama.2020.3227.
  • Sturm LK, Saake K, Roberts PB, et al. Impact of COVID-19 pandemic on hospital onset bloodstream infections (HOBSI) at a large health system. Am J Infect Control. 2022;50(3):245–249. doi: 10.1016/j.ajic.2021.12.018.
  • Damiani A, Masciocchi C, Lenkowicz J, et al. Building an artificial intelligence laboratory based on real world data: the experience of gemelli generator. Front Comput Sci. 2021;3:768266. doi: 10.3389/fcomp.2021.768266.
  • Murri R, Masciocchi C, Lenkowicz J, et al. A real-time integrated framework to support clinical decision making for covid-19 patients. Comput Methods Programs Biomed. 2022;217:106655. doi: 10.1016/j.cmpb.2022.106655.
  • von EE, Altman DG, Egger M, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. BMJ. 2007;335(7624):806–808. doi: 10.1136/bmj.39335.541782.AD.
  • Clinical and Laboratory Standards Institute. Principles and procedures for blood cultures. 2nd ed. CLSI Document M47-E2; 2022 [cited 2022 Dec 13]. Available from: https://clsi.org/standards/products/microbiology/documents/m47/
  • Stevenson M, Nunes Eswcf T, Heuer C, et al. epiR: tools for the analysis of epidemiological data. R package version 2.0.61; 2022. Available from: https://CRAN.R-project.org/package=epiR
  • Harrell FE Jr. rms: regression modeling strategies. R package version 6.7-0; 2022. Available from: https://CRAN.R-project.org/package=rms
  • Wickham H. ggplot2: elegant graphics for data analysis. New York: Springer-Verlag; 2016.
  • Kassambara A, Kosinski M, Biecek P. survminer: drawing survival curves using 'ggplot2'. R package version 0.4.9; 2021. Available from: https://CRAN.R-project.org/package=survminer
  • Therneau T. A package for survival analysis in R. R package version 3.5-5; 2022. Available from: https://CRAN.R-project.org/package=survival
  • Therneau TM, Grambsch PM. Modeling survival data: extending the cox model. New York: Springer; 2000.
  • Schemper M. Cox analysis of survival data with non-proportional hazard functions. Statistician. 1992;41(4):455–465. doi: 10.2307/2349009.
  • Schemper M, Wakounig S, Heinze G. The estimation of average hazard ratios by weighted Cox regression. Stat Med. 2009;28(19):2473–2489. doi: 10.1002/sim.3623.
  • R Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing; 2022 [cited 2023 May 19]. Available from: https://www.R-project.org/
  • Robinson KM, Kolls JK, Alcorn JF. The immunology of influenza virus-associated bacterial pneumonia. Curr Opin Immunol. 2015;34:59–67. doi: 10.1016/j.coi.2015.02.002.
  • Giacobbe DR, Battaglini D, Ball L, et al. Bloodstream infections in critically ill patients with COVID-19. Eur J Clin Invest. 2020;50(10):e13319. doi: 10.1111/eci.13319.
  • Cataldo MA, Tetaj N, Selleri M, et al. Incidence of bacterial and fungal bloodstream infections in COVID-19 patients in intensive care: an alarming “collateral effect”. J Glob Antimicrob Resist. 2020;23:290–291. doi: 10.1016/j.jgar.2020.10.004.
  • Palanisamy N, Vihari N, Meena DS, et al. Clinical profile of bloodstream infections in COVID-19 patients: a retrospective cohort study. BMC Infect Dis. 2021;21(1):933. doi: 10.1186/s12879-021-06647-x.
  • Giacobbe DR, Labate L, Tutino S, et al. Enterococcal bloodstream infections in critically ill patients with COVID-19: a case series. Ann Med. 2021;53(1):1779–1786. doi: 10.1080/07853890.2021.1988695.
  • Amarsy R, Trystram D, Cambau E, et al. Surging bloodstream infections and antimicrobial resistance during the first wave of COVID-19: a study in a large multihospital institution in the Paris region. Int J Infect Dis. 2022;114:90–96. doi: 10.1016/j.ijid.2021.10.034.
  • Buetti N, Ruckly S, de Montmollin E, et al. COVID-19 increased the risk of ICU-acquired bloodstream infections: a case-cohort study from the multicentric OUTCOMEREA network. Intensive Care Med. 2021;47(2):180–187. doi: 10.1007/s00134-021-06346-w.
  • d’Humières C, Patrier J, Lortat-Jacob B, et al. Two original observations concerning bacterial infections in COVID-19 patients hospitalized in intensive care units during the first wave of the epidemic in France. PLOS One. 2021;16(4):e0250728. doi: 10.1371/journal.pone.0250728.
  • Bonazzetti C, Morena V, Giacomelli A, et al. Unexpectedly high frequency of enterococcal BSIs in coronavirus disease 2019 patients admitted to an Italian ICU: an observational study. Crit Care Med. 2021;49(1):e31–e40. doi: 10.1097/CCM.0000000000004748.
  • Grasselli G, Scaravilli V, Mangioni D, et al. Hospital-acquired infections in critically ill patients with COVID-19. Chest. 2021;160(2):454–465. doi: 10.1016/j.chest.2021.04.002.
  • Gao YD, Ding M, Dong X, et al. Risk factors for severe and critically ill COVID-19 patients: a review. Allergy. 2021;76(2):428–455. doi: 10.1111/all.14657.
  • Segala FV, Pafundi PC, Masciocchi C, et al. Incidence of bloodstream infections due to multidrug-resistant pathogens in ordinary wards and intensive care units before and during the COVID-19 pandemic: a real-life, retrospective observational study. Infection. 2023;51(4):1061–1069. doi: 10.1007/s15010-023-02000-3.
  • Denny S, Rawson TM, Hart P, et al. Bacteraemia variation during the COVID-19 pandemic; a multi-centre UK secondary care ecological analysis. BMC Infect Dis. 2021;21(1):556. doi: 10.1186/s12879-021-06159-8.

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