Objectives: To determine the incidence and characteristics of superinfections in mechanically ventilated COVID-19 patients, and the impact of dexamethasone as standard therapy.
Methods: This multicentre, observational, retrospective study included patients ≥ 18 years admitted from March 1 2020 to January 31 2021 with COVID-19 infection who received mechanical ventilation. Patient characteristics, clinical characteristics, therapy and survival were examined.
Results: 155/156 patients (115 men, mean age 62 years, range 26-84 years) were included. 67 patients (43%) had 90 superinfections, pneumonia dominated (78%). Superinfections were associated with receiving dexamethasone (66% vs 32%, p<0.0001), autoimmune disease (18% vs 5.7%, p<0.016) and with longer ICU stays (26 vs 17 days, p<0,001). Invasive fungal infections were reported exclusively in dexamethasone-treated patients [8/67 (12%) vs 0/88 (0%), p<0.0001]. Unadjusted 90-day survival did not differ between patients with or without superinfections (64% vs 73%, p=0.25), but was lower in patients receiving dexamethasone versus not (58% vs 78%, p=0.007). In multiple regression analysis, superinfection was associated with dexamethasone use [OR 3.7 (1.80-7.61), p<0.001], pre-existing autoimmune disease [OR 3.82 (1.13-12.9), p=0.031] and length of ICU stay [OR 1.05 p<0.001].
Conclusions: In critically ill COVID-19 patients, dexamethasone as standard of care was strongly and independently associated with superinfections.
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http://dx.doi.org/10.1016/j.jinf.2022.05.015 | DOI Listing |
J Occup Environ Hyg
January 2025
Air Pollution Research Center, Iran University of Medical Sciences, Tehran, Iran.
The pathogenic potential of airborne particles carrying the SARS-CoV-2 viral genome was examined by considering the size distribution of airborne particles at given distances from the respiratory zone of an infected patient after coughing or sneezing with a focus on time, temperature, and relative humidity. The results show an association between the size distribution of airborne particles, particularly PM and PM, and the presence of viral genome in different stations affected by the distance from the respiratory zone and the passage of time. The correlation with time was strong with all the dependent factors except PM.
View Article and Find Full Text PDFCrit Care Explor
January 2025
Division of Pediatric Critical Care Medicine, Department of Pediatrics, Indiana University School of Medicine/Riley Children's Health, Indianapolis, IN.
Objectives: To investigate the prevalence of pulmonary embolism (PE) in children admitted to critical care diagnosed with COVID-19 infection.
Design: Retrospective database study.
Setting: Data reported to the Virtual Pediatric Systems, 2018-2021.
PLoS Med
January 2025
University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Background: Nirmatrelvir with ritonavir (Paxlovid) is indicated for patients with Coronavirus Disease 2019 (COVID-19) who are at risk for progression to severe disease due to the presence of one or more risk factors. Millions of treatment courses have been prescribed in the United States alone. Paxlovid was highly effective at preventing hospitalization and death in clinical trials.
View Article and Find Full Text PDFPLoS One
January 2025
Kaiser Permanente San Jose Psychiatry, San Jose, California, United States of America.
The COVID-19 pandemic created unprecedented challenges for social connectivity and mental health, especially during mandated shelter-in-place periods. For patients engaged in mental health treatment, the social impact of their shelter-in-place experience remains an area of active investigation. This is particularly relevant in the context of social prescribing, a growing area of clinical intervention where healthcare providers actively refer patients to local social resources or activities to enhance mental health and wellbeing.
View Article and Find Full Text PDFPLoS One
January 2025
Instituto de Biología, Universidad Nacional Autónoma de México (UNAM), México City, México.
Dogs can discriminate between people infected with SARS-CoV-2 from those uninfected, although their results vary depending on the settings in which they are exposed to infected individuals or samples of urine, sweat or saliva. This variability likely depends on the viral load of infected people, which may be closely associated with physiological changes in infected patients. Determining this viral load is challenging, and a practical approach is to use the cycle threshold (Ct) value of a RT-qPCR test.
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