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Abstract Background COVID-19-associated pulmonary aspergillosis (CAPA) is burdened by high mortality. Data are lacking about non-ICU patients. Aims of this study were to: (i) assess the incidence and prevalence of CAPA in a respiratory sub-intensive care unit, (ii) evaluate its risk factors and (iii) impact on in-hospital mortality. Secondary aims were to: (i) assess factors associated to mortality, and (ii) evaluate significant features in hematological patients. Materials and methods This was a single-center, retrospective study of COVID-19 patients with acute respiratory failure. A cohort of CAPA patients was compared to a non-CAPA cohort. Among patients with CAPA, a cohort of hematological patients was further compared to another of non-hematological patients. Results Three hundred fifty patients were included in the study. Median P/F ratio at the admission to sub-intensive unit was 225 mmHg (IQR 155–314). 55 (15.7%) developed CAPA (incidence of 5.5%). Eighteen had probable CAPA (37.3%), 37 (67.3%) possible CAPA and none proven CAPA. Diagnosis of CAPA occurred at a median of 17 days (IQR 12–31) from SARS-CoV-2 infection. Independent risk factors for CAPA were hematological malignancy [OR 1.74 (95%CI 0.75–4.37), p = 0.0003], lymphocytopenia [OR 2.29 (95%CI 1.12–4.86), p = 0.02], and COPD [OR 2.74 (95%CI 1.19–5.08), p = 0.014]. Mortality rate was higher in CAPA cohort (61.8% vs 22.7%, p 65 years resulted a predictor of mortality [OR 5.09 (95% CI 1.20–26.92), p = 0.035]. No differences were observed in hematological cohort. Conclusion CAPA is a life-threatening condition with high mortality rates. It should be promptly suspected, especially in case of hematological malignancy, COPD and lymphocytopenia.

Background: COVID-19-associated pulmonary aspergillosis (CAPA) is burdened by high mortality. Data are lacking about non-ICU patients. Aims of this study were to: (i) assess the incidence and prevalence of CAPA in a respiratory sub-intensive care unit, (ii) evaluate its risk factors and (iii) impact on in-hospital mortality. Secondary aims were to: (i) assess factors associated to mortality, and (ii) evaluate significant features in hematological patients. Materials and methods: This was a single-center, retrospective study of COVID-19 patients with acute respiratory failure. A cohort of CAPA patients was compared to a non-CAPA cohort. Among patients with CAPA, a cohort of hematological patients was further compared to another of non-hematological patients. Results: Three hundred fifty patients were included in the study. Median P/F ratio at the admission to sub-intensive unit was 225 mmHg (IQR 155–314). 55 (15.7%) developed CAPA (incidence of 5.5%). Eighteen had probable CAPA (37.3%), 37 (67.3%) possible CAPA and none proven CAPA. Diagnosis of CAPA occurred at a median of 17 days (IQR 12–31) from SARS-CoV-2 infection. Independent risk factors for CAPA were hematological malignancy [OR 1.74 (95%CI 0.75–4.37), p = 0.0003], lymphocytopenia [OR 2.29 (95%CI 1.12–4.86), p = 0.02], and COPD [OR 2.74 (95%CI 1.19–5.08), p = 0.014]. Mortality rate was higher in CAPA cohort (61.8% vs 22.7%, p < 0.0001). CAPA resulted an independent risk factor for in-hospital mortality [OR 2.92 (95%CI 1.47–5.89), p = 0.0024]. Among CAPA patients, age > 65 years resulted a predictor of mortality [OR 5.09 (95% CI 1.20–26.92), p = 0.035]. No differences were observed in hematological cohort. Conclusion: CAPA is a life-threatening condition with high mortality rates. It should be promptly suspected, especially in case of hematological malignancy, COPD and lymphocytopenia. [ABSTRACT FROM AUTHOR]

Abstract Background Little is known on the burden of co-infections and superinfections in a specific setting such as the respiratory COVID-19 sub-intensive care unit. This study aims to (i) assess the prevalence of concurrent and superinfections in a respiratory sub-intensive care unit, (ii) evaluate the risk factors for superinfections development and (iii) assess the impact of superinfections on in-hospital mortality. Methods Single-center retrospective analysis of prospectively collected data including COVID-19 patients hospitalized in a newly established respiratory sub-intensive care unit managed by pneumologists which has been set up from September 2020 at a large (1200 beds) University Hospital in Rome. Inclusion criteria were: (i) COVID-19 respiratory failure and/or ARDS; (ii) hospitalization in respiratory sub-intensive care unit and (iii) age > 18 years. Survival was analyzed by Kaplan–Meier curves and the statistical significance of the differences between the two groups was assessed using the log-rank test. Multivariable logistic regression and Cox regression model were performed to tease out the independent predictors for superinfections’ development and for mortality, respectively. Results A total of 201 patients were included. The majority (106, 52%) presented severe COVID-19. Co-infections were 4 (1.9%), whereas 46 patients (22%) developed superinfections, mostly primary bloodstream infections and pneumonia. In 40.6% of cases, multi-drug resistant pathogens were detected, with carbapenem-resistant Acinetobacter baumannii (CR-Ab) isolated in 47%. Overall mortality rate was 30%. Prior (30-d) infection and exposure to antibiotic therapy were independent risk factors for superinfection development whereas the development of superinfections was an independent risk factors for in-hospital mortality. CR-Ab resulted independently associated with 14-d mortality. Conclusion In a COVID-19 respiratory sub-intensive care unit, superinfections were common and represented an independent predictor of mortality. CR-Ab infections occurred in almost half of patients and were associated with high mortality. Infection control rules and antimicrobial stewardship are crucial in this specific setting to limit the spread of multi-drug resistant organisms.

Background: Little is known on the burden of co-infections and superinfections in a specific setting such as the respiratory COVID-19 sub-intensive care unit. This study aims to (i) assess the prevalence of concurrent and superinfections in a respiratory sub-intensive care unit, (ii) evaluate the risk factors for superinfections development and (iii) assess the impact of superinfections on in-hospital mortality. Methods: Single-center retrospective analysis of prospectively collected data including COVID-19 patients hospitalized in a newly established respiratory sub-intensive care unit managed by pneumologists which has been set up from September 2020 at a large (1200 beds) University Hospital in Rome. Inclusion criteria were: (i) COVID-19 respiratory failure and/or ARDS; (ii) hospitalization in respiratory sub-intensive care unit and (iii) age > 18 years. Survival was analyzed by Kaplan–Meier curves and the statistical significance of the differences between the two groups was assessed using the log-rank test. Multivariable logistic regression and Cox regression model were performed to tease out the independent predictors for superinfections' development and for mortality, respectively. Results: A total of 201 patients were included. The majority (106, 52%) presented severe COVID-19. Co-infections were 4 (1.9%), whereas 46 patients (22%) developed superinfections, mostly primary bloodstream infections and pneumonia. In 40.6% of cases, multi-drug resistant pathogens were detected, with carbapenem-resistant Acinetobacter baumannii (CR-Ab) isolated in 47%. Overall mortality rate was 30%. Prior (30-d) infection and exposure to antibiotic therapy were independent risk factors for superinfection development whereas the development of superinfections was an independent risk factors for in-hospital mortality. CR-Ab resulted independently associated with 14-d mortality. Conclusion: In a COVID-19 respiratory sub-intensive care unit, superinfections were common and represented an independent predictor of mortality. CR-Ab infections occurred in almost half of patients and were associated with high mortality. Infection control rules and antimicrobial stewardship are crucial in this specific setting to limit the spread of multi-drug resistant organisms. [ABSTRACT FROM AUTHOR]

The goal was to characterize COVID-19 patients who needed treatment in Sub-Intensive Care Units (SICUs) for hypoxemic respiratory failure, describe their six-month mortality, and identify clinical and laboratory characteristics that were associated with death. Data from 216 consecutive patients admitted to the COVIDSICU of Turin’s San Giovanni Bosco Hospital were analyzed retrospectively. A total of 216 patients (24.5% of whom were female) were enrolled. The average age was 63±11.9 years. In the three waves, the six-month mortality rate was 32.8%, 35.1%, and 26.6%, respectively (p=0.52). The mortality rate was significantly higher in intubated patients compared to those not requiring intubation (60.8% versus 29.9%, p

The goal was to characterize COVID-19 patients who needed treatment in Sub-Intensive Care Units (SICUs) for hypoxemic respiratory failure, describe their six-month mortality, and identify clinical and laboratory characteristics that were associated with death. Data from 216 consecutive patients admitted to the COVIDSICU of Turin's San Giovanni Bosco Hospital were analyzed retrospectively. A total of 216 patients (24.5% of whom were female) were enrolled. The average age was 63±11.9 years. In the three waves, the six-month mortality rate was 32.8%, 35.1%, and 26.6%, respectively (p=0.52). The mortality rate was significantly higher in intubated patients compared to those not requiring intubation (60.8% versus 29.9%, p<0.01). On admission, deceased patients were older (69±7.7 versus 60.2±12.6 y.o., p<0.01), with a higher prevalence of dyslipidemia, coronary artery disease, chronic heart failure, and higher serum creatinine. However, only age was predictive of death at multivariate analysis (OR 5.29, p<0.01), with 63 years old as the best cut-point. At six months, mortality in COVID patients managed in a SICU is around 30%. Age is a significant negative prognostic factor, with 63 years of age being the best predicting cut-off. [ABSTRACT FROM AUTHOR]