Predictors of mortality in patients with COVID-19 infection in different health-care settings: A retrospective analysis from a CORACLE study group.

BACKGROUND: Despite the large number of hospitalized patients affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, few data are available about risk factors and mortality in subjects with nosocomially acquired respiratory infection of Coronavirus Disease 2019 (COVID-19). METHODS: We retrospectively evaluated in a multicentric study -during the pre-vaccination era-all patients admitted with confirmed diagnosis of nosocomial COVID-19 (NC). Patients were classified according to provenance: hospital-acquired NC or long-term care (LTC) facilities. RESULTS: Among overall 1047 patients evaluated with COVID-19, 137 had a confirmed diagnosis of NC (13%). 78 (56.9%) patients had hospital-acquired NC and 59 (43%) had LTC NC. Overall mortality was 35.8%, in hospital-acquired NC 24.4%, in LTC NC 50.8% (p < 0.001) (Log Rank test: p = 0.001). Timing of diagnosis was significantly different between hospital acquired and LTC NC (3.5 vs 10 days, p < 0.001). In multivariate analysis age, intensive-care unit admission, LTC provenance and sepsis were significant predictors of mortality in patients with NC infection. CONCLUSION: Patients with NC are at higher risk of mortality (especially for LTC NC) and required preventive strategies, early diagnosis, and treatment to avoid COVID-19 cluster.

Real-Life Experience of Molnupiravir in Hospitalized Patients Who Developed SARS-CoV2-Infection: Preliminary Results from CORACLE Registry.

Real-life experience of molnupiravir treatment is lacking, especially in people hospitalized for underlying diseases not related to COVID-19. We conducted a retrospective analysis regarding molnupiravir therapy in patients with SARS-CoV-2 infection admitted for underlying diseases not associated with COVID-19. Forty-four patients were included. The median age was 79 years (interquartile range [IQR]: 51-93 years), and most males were 57,4%. The median Charlson Comorbidity Index and 4C score were, respectively, 5 (IQR: 3-10) and 9.9 (IQR: 4-12). Moreover, 77.5% of the patients had at least two doses of the anti-SARS-CoV-2 vaccine, although 10.6% had not received any SARS-CoV-2 vaccine. Frequent comorbidities were cardiovascular diseases (68.1%), and diabetes (31.9%), and most admissions were for the acute chronic heart (20.4%) or liver (8.5%) failure. After molnupiravir started, 8 (18.1%) patients developed acute respiratory failure, and five (11.4%) patients died during hospitalisation. Moreover, molnupiravir treatment does not result in a statistically significant change in laboratory markers except for an increase in the monocyte count (p = 0.048, Z = 1.978). Molnupiravir treatment in our analysis was safe and well tolerated. In addition, no patients' characteristics were found significantly related to hospital mortality or an increase in oxygen support. The efficacy of the molecule remains controversial in large clinical studies, and further studies, including larger populations, are required to fill the gap in this issue.

Impact of socioeconomic status on the clinical outcomes in hospitalised patients with SARS-CoV-2 infection: a retrospective analysis.

Aim: A disadvantaged socioeconomic status (SES) was previously associated with higher incidence and poor outcomes both of non-communicable diseases (NCDs) and infectious diseases. Inequalities in health services also have a negative effect on the coronavirus disease 2019 (COVID-19) morbidity and mortality. Subject and methods: The study analysed the role of SES measured by the educational level (EL) in hospitalised patients with COVID-19 between 9 March 2020 and 20 September 2021 at our centre of infectious diseases. Clinical outcomes were: length of hospitalisation, in-hospital mortality and the need of intensive-care-unit (ICU) support. Results: There were 566 patients included in this retrospective analysis. Baseline EL was: illiterate (5, 0.9%), primary school (99, 17.5%), secondary school (228, 40.3%), high school (211, 37.3%), degree (23, 4.1%); median age was higher in low EL (72.5 years vs 61 years, p = 0.003), comorbidity (56% in low EL, 34.6% in high EL, p < 0.001), time from the symptoms and PCR diagnosis (8.5 days in low EL, 6.5 days in high EL, p < 0.001), hospitalisation length (11.5 days in low EL, 9.5 days in high EL, p = 0.011), mortality rate (24.7% in low EL, 13.2% in high EL, p < 0.001). In the multivariate analysis there were predictors of mortality: age (OR = 4.981; 95%CI 2.172-11.427; p < 0.001), comorbidities (OR = 3.227; 95%CI 2.515-11.919; p = 0.007), ICU admission (OR = 6.997; 95%CI 2.334-31.404; p = 0.011), high vs low EL (OR = 0.761; 95%CI 0.213-0.990; p = 0.021). In survival analysis, higher EL was associated with a decreased risk of mortality up to 23.9%. Conclusion: Even though the EL is mainly related to the age of patients, in our analysis, it resulted as an independent predictor of in-hospital mortality and hospitalisation time. Unfortunately, this is a study focused only on hospitalised patients, and we did not examine the possible effect of EL in outpatients. Further analyses are required to confirm this suggestion and provide novel information.

Remdesivir treatment in hospitalized patients affected by COVID-19 pneumonia: A case-control study.

To date the optimal antiviral treatment against severe coronavirus disease 2019 (COVID-19) has not been proven; remdesivir is a promising drug with in vitro activity against several viruses, but in COVID-19 the clinical results are currently not definitive. In this retrospective observational study, we analyzed the clinical outcomes (survival analysis, efficacy, and safety) in a group of hospitalized patients with COVID-19 treated with remdesivir in comparison with a control group of patients treated with other antiviral or supportive therapies. We included 163 patients treated with remdesivir and 403 subjects in the control group; the baseline characteristics were similar in the two groups; the mortality rate was higher in the control group (24.8% vs. 2.4%, p < 0.001), the risk of intensive care unit (ICU) admission was higher in the control group (17.8% vs. 9.8%, p = 0.008); hospitalization time was significantly lower in patients treated with remdesivir (9.5 vs. 12.5 days, p < 0.001). The safety of remdesivir was good and no significant adverse events were reported. In multivariate analysis, the remdesivir treatment was independently associated with a 34% lower mortality rate (odds ratio = 0.669; p = 0.014). In this analysis, the treatment with remdesivir was associated with lower mortality, lower rate of ICU admission, and shorter time of hospitalization. No adverse events were observed. This promising antiviral treatment should also be confirmed by other studies.

Liver involvement and mortality in COVID-19: A retrospective analysis from the CORACLE study group.

Introduction: liver abnormalities are common in COVID-19 patients and associated with higher morbidity and mortality. We aimed to investigate clinical significance and effect on the mortality of abnormal liver function tests (ALFTs) in COVID-19 patients. Methods: we retrospectively evaluated in a multicentre study all patients admitted with confirmed diagnosis of COVID-19. Results: 434 patients were included in this analysis. Among overall patients, 311 (71.6%) had normal baseline ALT levels. 123 patients showed overall abnormal liver function tests (ALFTs) at baseline [101 ALFTs <2x UNL and 22 ≥2 UNL]. Overall in-hospital mortality was 14% and mean duration of hospitalization was 10.5 days. Hypertension (50.5%), cardiovascular diseases (39.6%), diabetes (23%) were frequent comorbidities and 53.7% of patients had ARDS. At multivariate analysis, the presence of ARDS at baseline (OR=6.11; 95% CI: 3.03-12.32; p<0.000); cardiovascular diseases (OR=4; 95% CI: 2.05-7.81; p<0.000); dementia (OR=3.93; 95%CI:1.87-8.26; p<0.000) and no smoking (OR=4.6; 95% CI: 1.45-14.61; p=0.010) resulted significantly predictive of in-hospital mortality. The presence of ALFTs at baseline was not significantly associated with mortality (OR=3.44; 95% CI=0.81-14.58; p=0.094). Conclusion: ALFTs was frequently observed in COVID-19 patients, but the overall in-hospital mortality was mainly determined by the severity of illness, comorbidities and presence of ARDS.

Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19.

INTRODUCTION: The clinical course of Coronavirus Disease 2019 (COVID-19) is highly heterogenous, ranging from asymptomatic to fatal forms. The identification of clinical and laboratory predictors of poor prognosis may assist clinicians in monitoring strategies and therapeutic decisions. MATERIALS AND METHODS: In this study, we retrospectively assessed the prognostic value of a simple tool, the complete blood count, on a cohort of 664 patients (F 260; 39%, median age 70 (56-81) years) hospitalized for COVID-19 in Northern Italy. We collected demographic data along with complete blood cell count; moreover, the outcome of the hospital in-stay was recorded. RESULTS: At data cut-off, 221/664 patients (33.3%) had died and 453/664 (66.7%) had been discharged. Red cell distribution width (RDW) (χ 2 10.4; p < 0.001), neutrophil-to-lymphocyte (NL) ratio (χ 2 7.6; p = 0.006), and platelet count (χ 2 5.39; p = 0.02), along with age (χ 2 87.6; p < 0.001) and gender (χ 2 17.3; p < 0.001), accurately predicted in-hospital mortality. Hemoglobin levels were not associated with mortality. We also identified the best cut-off for mortality prediction: a NL ratio > 4.68 was characterized by an odds ratio for in-hospital mortality (OR) = 3.40 (2.40-4.82), while the OR for a RDW > 13.7% was 4.09 (2.87-5.83); a platelet count > 166,000/µL was, conversely, protective (OR: 0.45 (0.32-0.63)). CONCLUSION: Our findings arise the opportunity of stratifying COVID-19 severity according to simple lab parameters, which may drive clinical decisions about monitoring and treatment.

Risk Factors for Mortality in COVID-19 Hospitalized Patients in Piedmont, Italy: Results from the Multicenter, Regional, CORACLE Registry.

BACKGROUND: CORACLE is a retrospective and prospective, regional multicenter registry, developed to evaluate risk factors for mortality in a cohort of patients admitted with SARS-CoV-2 infection within non-intensive wards. METHODS: The primary objective was to estimate the role of several prognostic factors on hospital mortality in terms of adjusted Odds Ratios (aOR) with multivariable logistic regression models. RESULTS: A total of 1538 patients were enrolled; 42% were female, and 58% were >70 years old. Deceased patients were 422 (27%), with a median age of 83 years (IQR (Inter Quartile Range) 76-87). Older age at admission (aOR 1.07 per year, 95%CI 1.06-1.09), diabetes (1.41, 1.02-1.94), cardiovascular disease (1.79, 1.31-2.44), immunosuppression (1.65, 1.04-2.62), estimated glomerular filtration rate (eGFR) <30 mL/min/1.73 m2 (3.53, 2.26-5.51), higher C-reactive protein values and a decreased PaO2/FiO2 ratio at admission were associated with a higher risk of hospital mortality. Amongst patients still alive on day 7, only hydroxychloroquine (HCQ) treatment was associated with reduced mortality (0.57, 0.36-0.90). CONCLUSIONS: Several risk factors were associated with mortality in SARS-CoV-2 positive patients. Although HCQ seems to be the only factor significantly associated with reduced mortality, this result is in contrast with evidence from randomized studies. These results should be interpreted in light of the study limitations.

Ceftobiprole Perspective: Current and Potential Future Indications.

Ceftobiprole combines an excellent spectrum for community-acquired pneumonia (CAP) and hospital-acquired pneumonia (HAP) pathogens, with a low/medium MDR risk, and the ß-lactams' safety in frail patients admitted to the hospital in internal medicine wards which may be at high risk of adverse events by anti-MRSA coverage as oxazolidinones or glycopeptides. We aimed to report the available evidence regarding ceftobiprole use in pneumonia and invasive bacterial infections, shedding light on ceftobiprole stewardship. The clinical application and real-life experiences of using ceftobiprole for bloodstream infections, including infective endocarditis, are limited but nevertheless promising. In addition, extended-spectrum ceftobiprole activity, including Enterococcus faecalis, Enterobacteriaceae, and Pseudomonas aeruginosa, has theoretical advantages for use as empirical therapy in bacteremia potentially caused by a broad spectrum of microorganisms, such as catheter-related bacteremia. In the future, the desirable approach to sepsis and severe infections will be administered to patients according to their clinical situation, the intrinsic host characteristics, the susceptibility profile, and local epidemiology, while the "universal antibiotic strategy" will no longer be adequate.

Role of the early short-course corticosteroids treatment in ARDS caused by COVID-19: A single-center, retrospective analysis.

PURPOSE: Severe coronavirus disease 2019 (COVID-19) is strongly related to interstitial pneumonia with frequent development of acute respiratory distress syndrome (ARDS). The role of corticosteroids (CS) treatment in these patients is still controversial. Some studies evidenced a possible role of an early short-term course of CS treatment in the treatment of severe pneumonia. PATIENTS AND METHODS: This is a single-center, retrospective study considering the patients with confirmed COVID-19 pneumonia admitted to our hospital between 9th March and 15th June 2020. Two groups were considered: early high-dose of methyl-prednisolone (eHDM; n â€‹= â€‹31) and the control group (n â€‹= â€‹52). Patients in the eHDM group received the dose of 5-8 â€‹mg/kg/day of methyl-prednisolone for 2 consecutive days. Primary outcome was the mortality evaluation; secondary outcomes were clinical improvement, side-effects and laboratory/radiographic changes. RESULTS: Significant differences between the two groups were: length of hospitalization (21.5 vs 28.4 days, p â€‹= â€‹0.026), length of non-invasive ventilation (NIV) or mechanical ventilation (11.5 vs 14.5 days, p â€‹= â€‹0.031), death (5 vs 12, p â€‹= â€‹0.006) and clinical improvement (16 vs 11, p=0.018). The following factors were related to in-hospital mortality in the multivariate analysis: comorbidities (OR â€‹= â€‹2.919; 95%CI â€‹= â€‹1.515-16.705; p<0.001), days from the onset of symptoms and the hospital admission (OR â€‹= â€‹1.404; 95%CI â€‹= â€‹1.069-12.492; p â€‹= â€‹0.011), PaO2/FiO2 (P/F) ratio (OR â€‹= â€‹3.111; 95%CI â€‹= â€‹2.334-16.991; p â€‹= â€‹0.009) and eHDM treatment (OR â€‹= â€‹0.741; 95%CI â€‹= â€‹0.129-0.917; p â€‹= â€‹0.007). CONCLUSION: The eHDM is an interesting and promising approach in the ARDS related to COVID-19 pneumonia, which reduces mortality, length of hospitalization and the need for mechanical ventilation.

Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients.

Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods. During the study period 504/1697 patients died; thus, overall CFR was 29.7%. We looked for predictors of mortality in a subgroup of 486 patients (239 males, 59%; median age 71 years) for whom sufficient clinical data were available at data cut-off. Among the demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model in a further subgroup of patients, age, the diagnosis of cancer, and the baseline PaO2/FiO2 ratio were identified as independent predictors of mortality. In conclusion, the CFR of hospitalized patients in Northern Italy during the ascending phase of the COVID-19 pandemic approached 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk.

Risk for SARS-CoV-2 Infection in Healthcare Workers, Turin, Italy.

We measured severe acute respiratory syndrome coronavirus 2 spike protein subunits S1/S2 antibodies by using capillary electrophoresis and a chemiluminescence immunoassay for 5,444 active healthcare workers in Italy. Seroprevalence was 6.9% and higher among participants having contact with patients. Seroconversion was not observed in 37/213 previously infected participants.