2023
DOI: 10.1016/j.jiph.2023.07.005
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A meta-meta-analysis of co-infection, secondary infections, and antimicrobial resistance in COVID-19 patients

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Cited by 19 publications
(8 citation statements)
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“…(4.6%), Mucor spp. (1.3%), and Cryptococcus (0.5%), 56 , 58 we observed that the most frequently reported fungal infections in patients recovered from COVID-19 were Mucor spp. and P. jirovecii .…”
Section: Discussionmentioning
confidence: 74%
See 1 more Smart Citation
“…(4.6%), Mucor spp. (1.3%), and Cryptococcus (0.5%), 56 , 58 we observed that the most frequently reported fungal infections in patients recovered from COVID-19 were Mucor spp. and P. jirovecii .…”
Section: Discussionmentioning
confidence: 74%
“…In general, fungal infections in patients recovered from COVID-19 are less frequent than in the acute phase of the disease. 56 The majority of fungal infections in these patients occurred in men over 45 years of age with a history of COVID-19 severe illness (pneumonia severe with respiratory rate >30 breaths/min, or severe respiratory distress, or SpO 2 <90% on room air), 57 causing a mortality of 14%. Unlike fungal co-infections in patients with acute COVID-19, where the majority of pathogens reported were Candida (7.1%), Aspergillus spp.…”
Section: Discussionmentioning
confidence: 98%
“…In a recently published systematic review, they consider that there was no clear definition between co-infection and secondary infection; however, a percentage of up to 26% and 19% was found, respectively. 76 What there is greater consensus on is that they increase the mortality rate in COVID-19 patients. 77 Another recent study identified risk factors for bloodstream infections in COVID-19 patients, highlighting in its results the consumption of interleukin inhibitors (i.e.…”
Section: Discussionmentioning
confidence: 99%
“…As a meta-analysis, our conclusions derive from previously published articles, which in turn relied on observational data rather than originating from original research. This reliance on existing literature restricts our capacity for individual patient data analysis and exposes us to potential heterogeneity across studies, as well as the inherent risk of incorporating errors or biases inherent in the original studies 50 .…”
Section: Discussionmentioning
confidence: 99%