The past year has for sure been increasing the deaths caused by multidrug resistance infections, not only in the USA with some 600.000 Covid related deaths. It is very likely that the number of deaths caused by these infections will be many times bigger than the 35.000 measured before Covid-19.
This Italian paper gives support to this and also the Alterity report in December when the deal with Queensland was told. Unfortunately, PBT2 is not yet in the pharmacy in spite there is huge need for it all over the world.Hospital-acquired infections in critically-ill COVID-19 patients
Giacomo Grasselli 1, Vittorio Scaravilli 2, Davide Mangioni 3, Luigia Scudeller 4, Laura Alagna 5, Michele Bartoletti 6, Giacomo Bellani 7, Emanuela Biagioni 8, Paolo Bonfanti 9, Nicola Bottino 2, Irene Coloretti 8, Salvatore Lucio Cutuli 10, Gennaro De Pascale 10, Daniela Ferlicca 11, **riele Fior 12, Andrea Forastieri 13, Marco Franzetti 14, Massimiliano Greco 15, Amedeo Guzzardella 16, Sara Linguadoca 16, Marianna Meschiari 17, Antonio Messina 15, Gianpaola Monti 12, Paola Morelli 18, Antonio Muscatello 5, Simone Redaelli 13, Flavia Stefanini 12, Tommaso Tonetti 19, Massimo Antonelli 10, Maurizio Cecconi 15, Giuseppe Foti 7, Roberto Fumagalli 20, Massimo Girardis 8, Marco Ranieri 19, Pierluigi Viale 6, Mario Raviglione 21, Antonio Pesenti 22, Andrea Gori 23, Alessandra Bandera 3AffiliationsPMCID: PMC8056844 DOI: 10.1016/j.chest.2021.04.002Free PMC article
- PMID: 33857475
Abstract
Background: Few small studies have described hospital-acquired infections (HAIs) during COVID-19.
Research question: What patient characteristics in critically ill patients with COVID-19 are associated with HAIs and how do HAIs associate with outcomes in these patients?
Study design and methods: Multicenter retrospective analysis of prospectively collected data including adult patients with severe COVID-19, admitted to 8 Italian hub hospitals from February 20, 2020, to May 20, 2020. Descriptive statistics, univariable and multivariable Weibull regression models were used to assess incidence, microbial etiology, resistance patterns, risk factors (i.e., demographics, comorbidities, exposure to medication), and impact on outcomes (i.e., ICU survival, length of ICU and hospital stay and duration of mechanical ventilation) of microbiologically-confirmed HAIs.
Results: Of the 774 included patients, 359 (46%) patients developed 759 HAIs (44.7 infections/1000 ICU patient-days, 35% multi-drug resistant (MDR) bacteria). Ventilator-associated pneumonia (VAP) (389, 50%), bloodstream infections (183, 34%), and catheter related blood stream infections (74, 10%) were the most frequent HAIs, with 26.0 (23.6-28.8) VAPs/1000 patient intubation-days, 11.7(10.1-13.5) BSIs/1000 ICU patient-days, and 4.7 (3.8-5.9) CRBSIs/1000 patient-days. Gram-negative bacteria (especially Enterobacterales) and Staphylococcus aureus caused 64% and 28% of VAPs. Variables independently associated with infection were age, PEEP and treatment with broad-spectrum antibiotic at admission. 234 patients (30%) died in ICU (15.3 deaths/1000 ICU patient-days). Patients with HAIs complicated by septic shock had almost doubled mortality (52% vs. 29%), while non-complicated infections did not affect mortality. HAIs prolonged mechanical ventilation (24(14-39) vs. 9(5-13) days; p<0.001), ICU and hospital stay (24(16-41) vs. 9(6-14) days, p=0.003; and (42(25-59) vs. 23(13-34) days, p<0.001).
Interpretation: Critically-ill COVID-19 patients are at high risk for HAIs, especially VAPs and BSIs due to MDR organisms. HAIs prolong mechanical ventilation and hospitalization, and HAIs complicated by septic-shock almost doubled mortality.
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