Coinfection and superinfection in ICU critically ill patients with severe COVID-19 pneumonia and influenza pneumonia: are the pictures different?

Background: Similar to influenza, coinfections and superinfections are common and might result in poor prognosis. Our study aimed to compare the characteristics and risks of coinfections and superinfections in severe COVID-19 and influenza virus pneumonia. Methods: The data of patients with COVID-19 and influenza admitted to the intensive care unit (ICU) were retrospectively analyzed. The primary outcome was to describe the prevalence and pathogenic distribution of coinfections/ICU-acquired superinfections in the study population. The secondary outcome was to evaluate the independent risk factors for coinfections/ICU-acquired superinfections at ICU admission. Multivariate analysis of survivors and non-survivors was performed to investigate whether coinfections/ICU-acquired superinfections was an independent prognostic factor. Results: In the COVID-19 (n = 123) and influenza (n = 145) cohorts, the incidence of coinfections/ICU-acquired superinfections was 33.3%/43.9 and 35.2%/52.4%, respectively. The most common bacteria identified in coinfection cases were Enterococcus faecium, Pseudomonas aeruginosa, and Acinetobacter baumannii (COVID-19 cohort) and A. baumannii, P. aeruginosa, and Klebsiella pneumoniae (influenza cohort). A significant higher proportion of coinfection events was sustained by Aspergillus spp. [(22/123, 17.9% in COVID-19) and (18/145, 12.4% in influenza)]. The COVID-19 group had more cases of ICU-acquired A. baumannii, Corynebacterium striatum and K. pneumoniae. A. baumannii, P. aeruginosa, and K. pneumoniae were the three most prevalent pathogens in the influenza cases with ICU-acquired superinfections. Patients with APACHE II ≥18, CD8+ T cells ≤90/µL, and 50 < age ≤ 70 years were more susceptible to coinfections; while those with CD8+ T cells ≤90/µL, CRP ≥120 mg/L, IL-8 ≥ 20 pg./mL, blood glucose ≥10 mmol/L, hypertension, and smoking might had a higher risk of ICU-acquired superinfections in the COVID-19 group. ICU-acquired superinfection, corticosteroid administration for COVID-19 treatment before ICU admission, and SOFA score ≥ 7 were independent prognostic factors in patients with COVID-19. Conclusion: Patients with COVID-19 or influenza had a high incidence of coinfections and ICU-acquired superinfections. The represent agents of coinfection in ICU patients were different from those in the general ward. These high-risk patients should be closely monitored and empirically treated with effective antibiotics according to the pathogen.

The impact of bacterial superinfections on the outcome of critically ill patients with COVID-19 associated acute respiratory distress syndrome (ARDS) - a single-centre, observational cohort study.

INTRODUCTION: Bacterial superinfections are common in severely ill COVID-19 patients and could be associated with a significant increase in morbidity and mortality. MATERIAL AND METHODS: We assessed 29 critically ill patients treated in a university hospital's intensive care unit (ICU). Each patient required mechanical ventilation due to COVID-19-induced acute respiratory distress syndrome (ARDS). Fifteen patients who required venovenous extracorporeal membrane oxygenation (VV-ECMO) support (ECMO group) were compared to a control group (CON group) of 14 individuals without ECMO. This study aimed to assess the prevalence of superinfection in both studied groups. Moreover, we evaluated mortality, length of stay in the ICU, positive culture results, antibiotics used during treatment, and the impact of immunomodulatory drugs on secondary infections. RESULTS: We did not find a difference in the number of superinfections between the ECMO and CON groups (11 vs. 10, P = 1.0). The mortality rate was 67% in the ECMO group and 64% in the CON group ( P = 1.0). The patients in both groups had similar numbers of positive culture results and days in the ICU prior to the detection of a positive culture. Antibiotics were administered to ten patients in the ECMO and eight patients in the CON group. The mortality rate was 81% in patients with superinfection versus 25% in those without co-infection ( P = 0.009). We found a negative impact of urea concentration on mortality in our cohort, with an odds ratio of 0.942 (0.891-0.996, P = 0.034). CONCLUSIONS: Our results suggest that bacterial superinfection in COVID-19 patients negatively impacted survival in the ICU. VV-ECMO support in COVID-19 patients does not seem to improve the outcomes of patients with severe ARDS.

Evaluation of the features of cystic echinococcosis with concurrent super-infection: a retrospective study in Southern Iran.

OBJECTIVE: Superinfection of cystic echinococcosis (CE) is a life-threatening complication with significant morbidities, which can be prevented with early diagnosis and treatment. This study aims to examine the clinical characteristics, diagnostic methods, and treatment options for superinfected CE, as there is currently limited information available on the differences between superinfected and non-infected CE in terms of clinical features, serological and radiologic findings. METHODS: This cross-sectional study was conducted on hospital records of patients who were diagnosed with hydatid cysts in a 15-year period (2004 to 2018) in two main university-affiliated referral centers in Fars province, southern Iran. Patients' information regarding the demographical and clinical features related to CE, age, sex, previous history of CE or recurrence, size and location of CE, and length of hospital stay were collected. Moreover, the characteristics of concurrent infections with hydatid cysts were recorded. RESULTS: A total of 586 surgeries due to CE were performed on 501 patients, of which 67 (11.43%) had reoperations due to the recurrence of the disease. A total of 30 (5.99%) incidences of superinfection were observed. There were no statistically significant differences in terms of laboratory and imaging findings between CE patients with concurrent infections and other CE patients (p-value > 0.05). Among the patients with super-infection, four had fungal infections of the lungs. Aspergillus fumigatus was the causative pathogen in all four patients that were diagnosed with fungal superinfection. All patients underwent surgical excision with favorable long-term outcomes. CONCLUSION: Our study revealed a 5.99% incident rate of CE superinfection. Regarding the concurrent fungal infections in hydatid cysts, the patient's symptoms and laboratory and imaging findings are inconclusive and histopathological evaluation seems to be the most reliable option. Surgical resection is the gold-standard treatment option with favorable outcomes and potentially can be curative.

The Relationship of Comorbid Diseases and Empirical Antibiotic Usage with Superinfection in COVID-19 Patients.

OBJECTIVE: To identify the microorganisms responsible for superinfections in patients admitted with COVID-19 and evaluate the impact of empirical antibiotic regimen and comorbid disease on superinfections comparing COVID-19 patients with and without secondary infection. STUDY DESIGN: A descriptive study. Place and Duration of the Study: Department of Microbiology, Kahramanmaras Sutcu Imam University, Kahramanmaras, Turkiye, from March to July 2020. METHODOLOGY: This study was conducted with patients diagnosed with COVID-19 disease based on radiological or quantitative RT-PCR test results. Culture results, demographic characteristics, clinical variables, and therapeutic regimen were collected from medical records. RESULTS: Superinfection developed in 48 (26.96%) of 178 cultures (24 of 101 patients) followed up in the COVID-19 clinics. Infections were determined as 25 (52.08%) bloodstream, 11 (22.9%) urinary tract, 10 (20.8%) respiratory tract and 2 (4.16%) soft tissue infections, respectively. Secondary infectious agents were E.coli in 11 (22.9%), A.baumannii in 8 (16.7%), S.homminis in 7 (14.6%), S.epidermidis in 6 (12.5%), K.pneumoniae in 4 (8.3%), C.albicans in 2 (4.1%), and other bacterial and fungal agents in 10 (20.8%). The median range from admission to the hospital to detecting microorganism growth was the longest with piperacillin/tazobactam with moxifloxacin and azithromycin. Secondary microorganism detection was delayed, mostly due to the empirical use of moxifloxacin, azithromycin, and piperacillin/tazobactam. CONCLUSION: Demographic characteristics, comorbidity and antibiotic use of patients were not directly related to secondary infections. In addition, the empirical use of azithromycin and moxifloxacin with piperacillin/tazobactam appeared to delay the development of superinfection. KEY WORDS: Superinfection, COVID-19, Comorbidity.

Coinfections and Superinfections Associated with COVID-19 in Colombia: A Narrative Review.

The COVID-19 pandemic has had significant impacts on healthcare systems around the world, including in Latin America. In Colombia, there have been over 23,000 confirmed cases and 100 deaths since 2022, with the highest number of cases occurring in females and the highest number of deaths in males. The elderly and those with comorbidities, such as arterial hypertension, diabetes mellitus, and respiratory diseases, have been particularly affected. Coinfections with other microorganisms, including dengue virus, Klebsiella pneumoniae, and Mycobacterium tuberculosis, have also been a significant factor in increasing morbidity and mortality rates in COVID-19 patients. It is important for surveillance systems to be improved and protocols to be established for the early detection and management of coinfections in COVID-19. In addition to traditional treatments, alternatives such as zinc supplementation and nanomedicine may have potential in the fight against COVID-19. It is also crucial to consider the social, labor, educational, psychological, and emotional costs of the pandemic and to address issues such as poverty and limited access to potable water in order to better prepare for future pandemics.

Prevalence of and prognostic factors for Candida superinfection in oral lichen planus and lichenoid reactions: A retrospective cohort study.

BACKGROUND: Oral candidiasis occasionally occurs in patients with oral lichen planus (OLP) or lichenoid reaction (OLR). However, not all patients undergoing corticosteroid therapy develop Candida superinfection. Thus, the identification of prognostic risk factors may help to identify patients at risk of Candida superinfection. METHODS: A retrospective cohort study was conducted to review patients with OLP/OLR who received steroid therapy at a single dental hospital between January 2016 and December 2021. The prevalence of Candida superinfection and prognostic factors were assessed. RESULTS: Eighty-two eligible patients with OLP/OLR were retrospectively reviewed. The overall prevalence of Candida superinfection during the study period was 35.37%; the median time-to-event between initiation of corticosteroid therapy and diagnosis of superinfection was 60 days (interquartile range; 34-296). The ulcerative type of OLP/OLR, number of topical steroid applications, poor oral hygiene, and oral dryness were significantly associated with superinfection (p < 0.05; Fisher's Exact test) and were identified as prognostic factors in univariable risk ratio regression. Multivariable risk ratio regression revealed the ulcerative type of OLP/OLR and number of topical steroid applications were significant prognostic factors for Candida superinfection in patients with OLP/OLR. CONCLUSION: Candida superinfection occurs in approximately one-third of patients with OLP/OLR undergoing corticosteroid therapy. Patients with OLP/OLR should be closely monitored in the first 2 months (60 days; median time to infection) after steroid prescription. The ulcerative type of OLP/OLR and a higher number of topical steroid applications per day may represent prognostic factors to identify patients at risk of Candida superinfection.

Respiratory Bacterial and Fungal Superinfections During the Third Surge of the COVID-19 Pandemic in Iran.

Objective: We characterized bacterial and fungal superinfection and evaluated the antimicrobial resistance profile against the most common superinfection-causing pathogens (Klebsiella pneumoniae, Acinetobacter baumannii, and Staphylococcus aureus). Methods: In a cross-sectional study, 192 respiratory samples were collected from patients with and without SARS-COV-2 admitted to a teaching hospital in Tehran. Superinfection proportions and the antibiotic resistance profile were assessed and compared with demographic, comorbidities, and other clinical factors. Results: Superinfection rate was 60% among COVID-19 patients (p = 0.629). Intensive care unit admission (p = 0.017), mortality rate (p ≤ 0.001), and antiviral and corticosteroid therapy (p ≤ 0.001) were significantly more common among patients with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2). The most common superinfections were caused by K. pneumoniae (42.7%, 82/192), A. baumannii (14.6%, 28/192), and S. aureus (13%, 25/192). A. baumannii isolates exhibited greater antibiotic resistance. Forty-four percent (11/25) of S. aureus isolates were cefoxitin resistant and also confirmed as methicillin-resistant S. aureus by PCR. Conclusion: The rise of difficult-to-treat infections with a high burden of antibiotic resistance, coupled with an increase in mortality rate of SARS-COV-2 superinfected individuals, illustrates the impact of the COVID-19 pandemic on antimicrobial resistance. Post-pandemic antimicrobial resistance crisis management requires precise microbiological diagnosis, drug susceptibility testing, and prescription of antimicrobials appropriate for the patient's condition.

Prognosis of hepatitis E infection in patients with chronic liver disease: A meta-analysis.

In individuals with underlying chronic liver disease (CLD), hepatitis E virus (HEV) infection is a potential trigger of acute-on-chronic liver failure. In this systematic review, seven electronic databases were searched. Pooled incidence rates with 95% confidence intervals (95% CIs) were calculated by the Freeman-Tukey double arcsine transformation method. The association between death or liver failure and HEV superinfection in CLD patients was estimated by the odds ratios (OR) with a 95% CI. A total of 18 studies from 5 countries were eligible for systematic review. The prevalence of acute HEV infection in hospitalized CLD patients with clinical manifestations of hepatitis was 13.6%, which was significantly higher than that in CLD patients from the community (pooled prevalence 1.1%). The overall rates of liver failure and mortality in CLD patients with HEV superinfection were 35.8% (95% CI: 26.7%-45.6%) and 14.3% (95% CI: 10.6%-18.5%), respectively, with the rates in cirrhotic patients being approximately 2-fold and 4-fold higher than those in noncirrhotic patients, respectively. The risks of liver failure (OR = 5.5, 95% CI: 1.5-20.1) and mortality (OR = 5.0, 95% CI: 1.9-13.3) were significantly higher in CLD patients with HEV superinfection than in those without HEV superinfection. HEV testing in hospitalized CLD patients is necessary due to the high prevalence of HEV infection observed in hospitalized CLD patients. HEV superinfection could accelerate disease progression in patients with underlying CLD and increase mortality in these patients. HEV vaccination is appropriate for patients with pre-existing CLD.

What happened during COVID-19 in African ICUs? An observational study of pulmonary co-infections, superinfections, and mortality in Morocco.

BACKGROUND: There is a growing literature showing that critically ill COVID-19 patients have an increased risk of pulmonary co-infections and superinfections. However, studies in developing countries, especially African countries, are lacking. The objective was to describe the prevalence of bacterial co-infections and superinfections in critically ill adults with severe COVID-19 pneumonia in Morocco, the micro-organisms involved, and the impact of these infections on survival. METHODS: This retrospective study included severe COVID-19 patients admitted to the intensive care unit (ICU) between April 2020 and April 2021. The diagnosis of pulmonary co-infections and superinfections was based on the identification of pathogens from lower respiratory tract samples. Co-infection was defined as the identification of a respiratory pathogen, diagnosed concurrently with SARS-Cov2 pneumonia. Superinfections include hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP). A multivariate regression analysis was performed to identify factors independently associated with mortality. RESULTS: Data from 155 patients were analyzed. The median age was 68 years [62-72] with 87% of patients being male. A large proportion of patients (68%) received antibiotics before ICU admission. Regarding ventilatory management, the majority of patients (88%) underwent non-invasive ventilation (NIV). Sixty-five patients (42%) were placed under invasive mechanical ventilation, mostly after failure of NIV. The prevalence of co-infections, HAP and VAP was respectively 4%, 12% and 40% (64 VAP/1000 ventilation days). The most isolated pathogens were Enterobacterales for HAP and Acinetobacter sp. for VAP. The proportion of extra-drug resistant (XDR) bacteria was 78% for Acinetobacter sp. and 24% for Enterobacterales. Overall ICU mortality in this cohort was 64.5%. Patients with superinfection showed a higher risk of death (OR = 6.4, 95% CI: 1.8-22; p = 0.004). CONCLUSIONS: In this single-ICU Moroccan COVID-19 cohort, bacterial co-infections were relatively uncommon. Conversely, high rates of superinfections were observed, with an increased frequency of antimicrobial resistance. Patients with superinfections showed a higher risk of death.

Multiple Infection and Human Immunodeficiency Virus Superinfection Among Persons who Inject Drugs in Indonesia and Ukraine.

BACKGROUND: The HIV Prevention Trials Network (HPTN) 074 study evaluated an integrated human immunodeficiency virus (HIV) treatment and prevention strategy among persons who inject drugs (PWID) in Indonesia, Ukraine, and Vietnam. We previously detected multiple HIV infection in 3 of 7 (43%) of seroconverters with 3-8 HIV strains per person. In this report, we analyzed multiple HIV infection and HIV superinfection (SI) in the HPTN 074 cohort. METHODS: We analyzed samples from 70 participants in Indonesia and Ukraine who had viral load >400 copies/mL at enrollment and the final study visit (median follow-up, 2.5 years). HIV was characterized with Sanger sequencing, next-generation sequencing, and phylogenetic analysis. Additional methods were used to characterize a rare case of triple-variant SI. RESULTS: At enrollment, multiple infection was detected in only 3 of 58 (5.2%) participants with env sequence data. SI was detected in only 1 of 70 participants over 172.3 person-years of follow-up (SI incidence, 0.58/100 person-years [95% confidence interval, .015-3.2]). The SI case involved acquisition of 3 HIV strains with rapid selection of a strain with a single pol region cluster. CONCLUSIONS: These data from a large cohort of PWID suggest that intrahost viral selection and other factors may lead to underestimation of the frequency of multiple HIV infection and SI events.

A Systematic Molecular Epidemiology Screen Reveals Numerous Human Immunodeficiency Virus (HIV) Type 1 Superinfections in the Swiss HIV Cohort Study.

BACKGROUND: Studying human immunodeficiency virus type 1 (HIV-1) superinfection is important to understand virus transmission, disease progression, and vaccine design. But detection remains challenging, with low sampling frequencies and insufficient longitudinal samples. METHODS: Using the Swiss HIV Cohort Study (SHCS), we developed a molecular epidemiology screening for superinfections. A phylogeny built from 22 243 HIV-1 partial polymerase sequences was used to identify potential superinfections among 4575 SHCS participants with longitudinal sequences. A subset of potential superinfections was tested by near-full-length viral genome sequencing (NFVGS) of biobanked plasma samples. RESULTS: Based on phylogenetic and distance criteria, 325 potential HIV-1 superinfections were identified and categorized by their likelihood of being detected as superinfections due to sample misidentification. NFVGS was performed for 128 potential superinfections; of these, 52 were confirmed by NFVGS, 15 were not confirmed, and for 61 sampling did not allow confirming or rejecting superinfection because the sequenced samples did not include the relevant time points causing the superinfection signal in the original screen. Thus, NFVGS could support 52 of 67 adequately sampled potential superinfections. CONCLUSIONS: This cohort-based molecular approach identified, to our knowledge, the largest population of confirmed superinfections, showing that, while rare with a prevalence of 1%-7%, superinfections are not negligible events.

Superinfection is associated with short-term outcome and mortality in viral respiratory tract infections during the fall-winter seasons 2016-2018 in the Greater Paris area: the SUPERFLUOUS study: outcomes of viral infections.

BACKGROUND: Following a study of predictors of superinfection in viral respiratory tract infections (VRTIs), this study analyzes the predictors of the outcome. METHODS: Multicenter retrospective study conducted among adults who tested positive for VRTIs with reverse-transcription polymerase chain reaction. We compared characteristics between influenza virus, Paramyxoviridae, and Pneumoviridae and identified predictors of favorable short-term outcome, admission to the intensive care unit (ICU), and mortality. RESULTS: A total of 590 patients had VRTI, including 347 (59%) influenza infections. Mean (SD) patient age was 71.0 (18.3) years, with a sex ratio of 0.91. In multivariate analyses, predictors of favorable short-term outcome were age ≤75 years (adjusted odds ratio [aOR] 5.38 [95% confidence interval, 1.59-18.2]), absence of respiratory disease (4.94 [1.01-24.37]), and absence of superinfection (aOR 3.91 [1.37-11.13]). The predictors of ICU admission were age ≤75 years (aOR 3.28 [1.71-6.25]), chronic respiratory disease (aOR 2.49 [1.20-5.19]), and procalcitonin level >0.25 ng/mL (aOR 4.25 [1.55-11.67]). Predictors of mortality were use of inhaled corticosteroids (2.49 [1.10-5.63]), influenza infection (2.73 [1.27-5.85]), Charlson score ≥5 (5.35 [1.90-15.05]), superinfection (2.54 [1.05-6.18]), and eosinophil count <50/µL (4.39 [1.19-16.2]). Certainty of superinfection was significantly associated with mortality (2.23 [1.15-4.3]). CONCLUSION: Our study revealed that superinfection was significantly related to the outcome, and that virus species affects mortality. These findings emphasize the need for improving the tools used in daily practice to confirm certainty of superinfection and for broader implementation of vaccination of individuals at risk of VRTIs.

Bacterial/fungal infection in hospitalized patients with COVID-19 in a tertiary hospital in the Community of Castilla y León, Spain.

INTRODUCTION: Bacterial/fungal coinfection and superinfections contribute to the increased morbi-mortality of viral respiratory infections (RIs). The main objective of this study was to determine the incidence of these infections in hospitalized patients with COVID-19. METHOD: Retrospective observational study of all patients admitted for COVID-19 and bacterial/fungal infections at the Hospital Clínico Universitario of Valladolid, Spain (March 1-May 31, 2020). Demographic, clinical and microbiological data were compared based on Intensive Care Unit (ICU) admission and predictors of mortality by were identified using multivariate logistic regression analyses. RESULTS: Of the 712 COVID-19 patients, 113 (16%) presented bacterial/fungal coinfections or superinfections. Their median age was 73 years (IQR 57-89) and 59% were men. The profiles of ICU patients (44%) included male, SARS-CoV-2 pneumonia, leukocytosis, elevated inteleukin-6, with interferon ß-1b and tocilizumab and superinfection (p < 0.05). Coinfections were diagnosed in 5% (39/712) patients. Most common pathogens of respiratory coinfection (18) were Streptococcus pneumoniae (6) and Staphylococcus aureus (6). Superinfections were detected in 11% (80/712) patients. Urinary (53) and RI (39) constituted the majority of superinfections Acinetobacter baumannii multidrug-resistant was the main agent of IR and bacteremia. An outbreak of A. baumannii contributed to this result. Three patients were considered to have probable pulmonary aspergillosis. Mortality was higher in UCI patients (50% vs. 29%, p = 0.028). The predictive factors of mortality included being a male with various comorbidities, SARS-CoV-2 pneumonia, bacteremia and superinfections from A. baumannii. CONCLUSION: The outbreak of A. baumannii was a determining factor in the increases of the incidence of infection and the morbi-mortality of ICU patients.

Predictors of Hospitalization and Superinfection in Viral Respiratory Tract Infections Between Influenza and Paramyxoviruses: The SUPERFLUOUS Study.

BACKGROUND: Viral respiratory tract infections (VRTIs) are among the most common diseases, but the risks of superinfection for different virus species have never been compared. METHODS: Multicenter retrospective study conducted among adults who tested positive for VRTIs with reverse-transcription polymerase chain reaction. We compared characteristics between influenza (A or B) and paramyxoviruses (respiratory syncytial virus, parainfluenza virus types 1 and 3, and human metapneumovirus) and identified predictors of superinfection and hospitalization.s. RESULTS: Five hundred ninety patients had VRTI, including 347 (59%) influenza and 243 paramyxovirus infections with comparable rates of superinfections (53% vs 60%). In multivariate analyses, the predictors of superinfections were age >75 years (adjusted odds ratio, 2.37 [95% confidence interval, 1.65-3.40]), chronic respiratory disease (1.79 [1.20-2.67]), and biological abnormalities, including neutrophil count >7000/µL (1.98 [1.34-2.91)], eosinophil count <50/µL (2.53 [1.61-3.98], and procalcitonin level >0.25ng/mL (2.8 [1.65-4.73]). The predictors of hospitalization were age >75 years old (adjusted odds ratio, 3.49 [95% confidence interval, 2.17-5.63]), paramyxovirus infection (2.28 [1.39-3.75]), long-term use of inhaled corticosteroids (2.49 [1.13-5.49]), and biological abnormalities, including neutrophil count >7000/µL (2.38 [1.37-4.12)] and procalcitonin level >0.25ng/mL (2.49 [1.23-5.02]). Kaplan-Meier survival curves showed that influenza-infected patients had a higher mortality rate than those with paramyxovirus infections (8.9% vs 4.5%, respectively; P = .02). CONCLUSIONS: Our study revealed a high rate of superinfection (56%), not related to viral species. However influenza virus was associated with a poorer prognosis than paramyxoviruses, pleading for a broader and large-scale vaccination of individual at risk of VRTIs.

The prevalence of early- and late-onset bacterial, viral, and fungal respiratory superinfections in invasively ventilated COVID-19 patients.

The role of respiratory superinfections in patients with coronavirus disease 2019 (COVID-19) pneumonia remains unclear. We investigated the prevalence of early- and late-onset superinfections in invasively ventilated patients with COVID-19 pneumonia admitted to our department of intensive care medicine between March 2020 and November 2020. Of the 102 cases, 74 (72.5%) received invasive ventilation and were tested for viral, bacterial, and fungal pathogens on Days 0-7, 8-14, and 15-21 after the initiation of mechanical ventilation. Approximately 45% developed one or more respiratory superinfections. There was a clear correlation between the duration of invasive ventilation and the prevalence of coinfecting pathogens. Male patients with obesity and those suffering from chronic obstructive pulmonary disease and/or diabetes mellitus had a significantly higher probability to develop a respiratory superinfection. The prevalence of viral coinfections was high, with a predominance of the herpes simplex virus (HSV), followed by cytomegalovirus. No respiratory viruses or intracellular bacteria were detected in our cohort. We observed a high coincidence between Aspergillus fumigatus and HSV infection. Gram-negative bacteria were the most frequent pathogen group. Klebsiella aerogenes was detected early after intubation, while Klebsiella pneumoniae and Pseudomonas aeruginosa were related to a prolonged respiratory weaning.

High genetic diversity and superinfection by Anaplasma marginale strains in naturally infected Angus beef cattle during a clinical anaplasmosis outbreak in southeastern Brazil.

Anaplasma marginale is an obligate intracellular Gram-negative bacterium that is parasitic to erythrocytes and is the main agent of bovine anaplasmosis. This disease causes severe anemia and reduces weight gain and milk production, thus giving rise to major economic losses relating to livestock worldwide. The genetic diversity of this bacterium has been characterized based on sequences of major surface proteins (MSPs), especially MSP1α. This has enabled identification of several geographical strains, according to different amino acid sequences. The aim of this study was to investigate the genetic diversity of A. marginale in naturally infected Angus beef cattle during a disease outbreak in southeastern Brazil. Four blood samples were collected over a four-month period from each of 20 animals on a cattle farm in Itú, São Paulo, Brazil. Serum samples were subjected to indirect ELISA to detect anti-A. marginale IgG antibodies. The 80 whole-blood samples obtained were subjected to DNA extraction, quantitative real-time PCR (qPCR) for the msp1ß gene, semi-nested PCR (snPCR) for the msp1α gene, cloning of the target fragment and sequencing using the Sanger method. The sequences obtained were analyzed for genetic diversity using the RepeatAnalyzer software. Both iELISA tests, using recombinant MSP5 and the Anaplasma antibody test kit (VMRD), revealed high seroprevalence: 91.25% and 97.5%, respectively. In qPCR, 100% of the samples were positive, with between 103 and 107 DNA copies/µL. In the snPCR based on the msp1α gene, 57.5% (46/80) of the samples were positive. Microsatellite analysis on the 36 sequences obtained showed the presence of genotypes H (58.3%), F (25%), E (19.4%), C (2.7%) and G (2.7%). The RepeatAnalyzer software identified 36 strains in the study region, among which some had not previously been described in the literature (13 27 13 27 13 F; 16 FF; τ 27; 63 29 104 29; LJ1 13 LJ1 13; 16 F 17; 16 F 91). High genetic diversity of A. marginale bacteria was found on this farm in Itú, São Paulo.

Bacterial superinfection in adults with COVID-19 hospitalized in two clinics in Medellín-Colombia, 2020.

COVID-19 represents high morbidity and mortality, its complications and lethality have increased due to bacterial superinfections. We aimed to determine the prevalence of bacterial superinfection in adults with COVID-19, hospitalized in two clinics in Medellín-Colombia during 2020, and its distribution according to sociodemographic and clinical conditions. A cross sectional study was made with 399 patients diagnosed with COVID-19 by RT-PCR. We determined the prevalence of bacterial superinfection and its factors associated with crude and adjusted prevalence ratios by a generalized linear model. The prevalence of superinfection was 49.6%, with 16 agents identified, the most frequent were Klebsiella (pneumoniae and oxytoca) and Staphylococcus aureus. In the multivariate adjustment, the variables with the strongest association with bacterial superinfection were lung disease, encephalopathy, mechanical ventilation, hospital stay, and steroid treatment. A high prevalence of bacterial superinfections, a high number of agents, and multiple associated factors were found. Among these stood out comorbidities, complications, days of hospitalization, mechanical ventilation, and steroid treatment. These results are vital to identifying priority clinical groups, improving the care of simultaneous infections with COVID-19 in people with the risk factors exposed in the population studied, and identifying bacteria of public health interest.

Trichosporon asahii superinfections in critically ill COVID-19 patients overexposed to antimicrobials and corticosteroids.

OBJECTIVES: To investigate the occurrence of Trichosporon asahii fungemia among critically ill COVID-19 patients. METHODS: From 1 July to 30 September 2020, cases of T asahii fungemia (TAF) in a Brazilian COVID-19 referral centre were investigated. The epidemiology and clinical courses were detailed, along with a mycological investigation that included molecular species identification, haplotype diversity analysis and antifungal susceptibility testing. RESULTS: Five critically ill COVID-19 patients developed TAF in the period. All five patients had common risk conditions for TAF: central venous catheter at fungemia, previous exposure to broad-spectrum antibiotics, prior echinocandin therapy and previous prolonged corticosteroid therapy. The average time of intensive care unit hospitalisation previous to the TAF episode was 23 days. All but one patient had voriconazole therapy, and TAF 30-day mortality was 80%. The five T asahii strains from the COVID-19 patients belonged to 4 different haplotypes, mitigating the possibility of skin origin and cross-transmission linking the 5 reported episodes. The antifungal susceptibility testing revealed low minimal inhibitory concentrations for azole derivatives. CONCLUSIONS: Judicious prescription of antibiotics, corticosteroids and antifungals needs to be discussed in critically ill COVID-19 patients to prevent infections by hard-to-treat fungi like T asahii.

COVID-19 versus influenza A/B supeRInfectionS in the IntenSive care unit (CRISIS): Protocol for a Danish nationwide cohort study.

BACKGROUND: Superinfection following viral infection is a known complication, which may lead to longer hospitalisation and worse outcome. Empirical antibiotic therapy may prevent bacterial superinfections, but may also lead to overuse, adverse effects and development of resistant pathogens. Knowledge about the incidence of superinfections in intensive care unit (ICU) patients with severe Coronavirus Disease 2019 (COVID-19) is limited. METHODS: We will conduct a nationwide cohort study comparing the incidence of superinfections in patients with severe COVID-19 admitted to the ICU compared with ICU patients with influenza A/B in Denmark. We will include approximately 1000 patients in each group from the time period of 1 October 2014 to 30 April 2019 and from 10 March 2020 to 1 March 2021 for patients with influenza and COVID-19, respectively. The primary outcome is any superinfection within 90 days of admission to the ICU. We will use logistic regression analysis comparing COVID-19 with influenza A/B after adjustment for relevant predefined confounders. Secondarily, we will use unadjusted and adjusted logistic regression analyses to assess six potential risk factors (sex, age, cancer [including haematological], immunosuppression and use of life support on day 1 in the ICU) for superinfections and compare outcomes in patients with COVID-19 with/without superinfections, and present descriptive data regarding the superinfections. CONCLUSION: This study will provide important knowledge about superinfections in ICU patients with severe COVID-19.