Health-related quality of life in survivors of severe COVID-19 infection.

BACKGROUND: Long-term effects of Coronavirus Disease 2019 (COVID-19) are increasingly recognized as having a significant impact on Health-Related Quality of Life (HRQoL). Understanding HRQoL status for each patient affected by long COVID-19 and its determinants may have a key role to prevent and treat this condition. METHODS: In this prospective observational study conducted in a large academic COVID-19 hospital in Rome, participants were contacted 2 years after hospital admission for severe COVID-19. To assess HRQoL, EQ-5D-5L and Visual analog scale (EQ VAS) standard questionnaires were administered by interview. Logistic regression model was used to the five health dimensions as dependent variables (0 = no problem, 1 = some/extreme problem). KEY RESULTS: In 137 enrolled patients, the mean pre-COVID and post-COVID EQ-5D-5L index and EQ-VAS score were 0.97 (SD 0.06), 0.79 (SD 0.26) and 72.38 (SD 15.18), respectively. After subdivision of the participants for clinical and social variables, the EQ-5D-5L index resulted significantly lower than in the pre-COVID-19 period. Female gender, unemployed status, and chronic comorbidities were the most common predictors for having any problems in each EQ-5D-5L domain, while also older age and higher Body Mass Index (BMI) showed to be related to a lower EQ-VAS score. CONCLUSION: HRQoL showed to be still low in patients 2 years after acute severe COVID-19. Given the significant impact of SARS-CoV-2 on long-term chronic symptoms, predictors of poor outcomes must be considered during the acute phase of illness to plan a tailored follow-up path for each patient.

Clinical Characteristics and Outcome of Hospitalized COVID-19 Patients Treated with Standard Dose of Dexamethasone or High Dose of Methylprednisolone.

The hyperinflammatory phase represents the main cause for the clinical worsening of acute respiratory distress syndrome (ARDS) in Coronavirus disease 2019 (COVID-19), leading to the hypothesis that steroid therapy could be a mainstream treatment in COVID-19 patients. This is an observational study including all consecutive patients admitted to two Italian University Hospitals for COVID-19 from March 2020 to December 2021. The aim of this study was to describe clinical characteristics and outcome parameters of hospitalized COVID-19 patients treated with dexamethasone 6 mg once daily (standard-dose group) or methylprednisolone 40 mg twice daily (high-dose group). The primary outcome was the impact of these different steroid treatments on 30-day mortality. During the study period, 990 patients were evaluated: 695 (70.2%) receiving standard dosage of dexamethasone and 295 (29.8%) receiving a high dose of methylprednisolone. Cox regression analysis showed that chronic obstructive pulmonary disease (HR 1.98, CI95% 1.34-9.81, p = 0.002), chronic kidney disease (HR 5.21, CI95% 1.48-22.23, p = 0.001), oncologic disease (HR 2.81, CI95% 1.45-19.8, p = 0.005) and high-flow nasal cannula, continuous positive airway pressure or non-invasive ventilation oxygen therapy (HR 61.1, CI95% 5.12-511.1, p < 0.001) were independently associated with 30-day mortality; conversely, high-dose steroid therapy was associated with survival (HR 0.42, CI95% 0.38-0.86, p = 0.002) at 30 days. Kaplan-Meier curves for 30-day survival displayed a statistically significant better survival rate in patients treated with high-dose steroid therapy (p = 0.018). The results of this study highlighted that the use of high-dose methylprednisolone, compared to dexamethasone 6 mg once daily, in hospitalized patients with COVID-19 may be associated with a significant reduction in mortality.

Covid-19 sequelae in working age patients: A systematic review.

Despite the SARS-CoV-2 pandemic not yet being under control, post-Covid-19 syndrome is already a challenging topic: long-term multiorgan sequelae, although increasingly described, have not yet been systematized. As post-Covid-19 syndrome can significantly impact both the working capacity and the relationship life of surviving patients, we performed a systematic review of the evidence published over the last year and currently available in medical literature search databases (MEDLINE/Pubmed) and searching clinical trial registries, to evaluate the available evidence among workers. From 31 publications that initially matched inclusion criteria, 13 studies have been considered suitable for relevance and age of subjects. A wide range of patients (16%-87%) have post-Covid syndrome; pneumological and neuropsychological symptoms were the most common disorders reported. The most frequent organic sequel found in post-Covid patients was pulmonary fibrosis. The number of symptoms during acute SARS-CoV-2 infection, severity of the disease, and high serum levels of d-dimer were related to high risk of post-Covid syndrome. In conclusion, post-Covid-19 syndrome can significantly impact the health conditions of surviving patients. Rehabilitation and follow-up in multidisciplinary rehabilitation programs should be considered for working-age patients.

Cellular and molecular mechanisms in COVID-19 coagulopathy: role of inflammation and endotheliopathy.

INTRODUCTION: Coronavirus 2 (CoV-2) infection or coronavirus disease 2019 (COVID-19) is frequently associated with microvascular thrombosis.The microthrombosis in COVID-19 is the result of the interplay between inflammation and endotheliopathy. Elevated interleukin-6 (IL-6) characterizes COVID-19 inflammation resulting in endotheliopathy and coagulopathy marked by elevated D-dimer (DD). Aim of this study is to identify and to describe the coagulation changes in 100 moderate COVID-19 patients having lung involvement and to determine the association of coagulopathy with the severity and prognosis. METHODS: Inflammation, endothelial and coagulation molecules were measured in moderate and mild disease. RESULTS: IL-6 and tumor necrosis factor-α (TNF-α) and tissue factor (TF), von Willebrand factor (VWF), and tissue factor pathway inhibitor (TFPI) significantly increased in moderate disease as well as D-dimer, thrombin antithrombin complex (TAT), Fibrinogen (Fib), platelet factor-4 (PF4), ß-thromboglobulin (ß-TG), P-selectin, and platelet adhesion. Shortened clotting time (CT) and clot formation time (CFT), high maximum clot firmness (MCF) and low LY at 30 min were present in 100% of moderate COVID-19 patients compared with mild COVID-19 patients. CONCLUSIONS: These findings demonstrate that moderate COVID-19 has a profound inflammation associated with severee ndotheliopathy and intense coagulation activation uncontrolled by TFPI. Attention should be paid to coagulopathy in COVID-19. Closely monitoring of coagulation and application of appropriate anticoagulation may improve the prognosis of moderate COVID-19 and to prevent the progression to severe COVID-19 disease.

Adverse Outcome in Non-severe COVID-19: Potential Diagnostic Coagulation Tests

COVID-19-associated coagulopathy (CAC) identifies the coagulation changes in coronavirus disease 2019 (COVID-19) and is responsible for thrombosis. CAC has been studied in critical and severe stage COVID-19 disease through tests including the D-Dimer (DD), prothrombin time (PT), thromboplastin partial time (PTT), platelet count, fibrinogen (Fib), and platelet factor 4 (PF4) tests. However, these tests have some limitations. The aim of this study was to identify more accurate warning tests for early recognition of CAC and to prevent its deterioration to disseminated intravascular coagulation (DIC). First, we measured Interleukin-1a (IL-1a) and IL-8, and tissue factor pathway inhibitor (TFPI) as inflammation and endothelial damage markers, respectively. Second, we measured thrombin antithrombin complex (TAT), b-Thromboglobulin (b-TG), and thromboelastometric parameters including clotting time (CT), clot formation time (CFT), clot firmness (MCF), and clot lysis at 30 min (LY-30), as markers of coagulation and platelet activation. This study included 100 non-severe patients with COVID-19 that developed pulmonary embolism (PE) compared to 80 healthy patients. IL-1a and IL-8, and TFPI were higher as well as TAT and b-TG and thromboelastometric parameters, indicating hypercoagulability. If confirmed in other studies, these results could help in predicting the deterioration of non-severe COVID-19 disease, thereby reducing hospitalizations and health costs.

Clinical Characteristics and Outcome of Patients with Suspected COVID-19 in Emergency Department (RESILIENCY Study II).

OBJECTIVES: COVID-19 may show no peculiar signs and symptoms that may differentiate it from other infective or non-infective etiologies; thus, early recognition and prompt management are crucial to improve survival. The aim of this study was to describe clinical, laboratory, and radiological characteristics and outcomes of hospitalized COVID-19 patients compared to those with other infective or non-infective etiologies. METHODS: We performed a prospective study from March 2020 to February 2021. All patients hospitalized for suspected or confirmed COVID-19 were prospectively recruited. All patients were evaluated according to a predefined protocol for diagnosis of suspected SARS-CoV-2 infection. The primary endpoint was evaluation of clinical, laboratory, and radiological characteristics associated or not with COVID-19 etiology at time of hospitalization in an emergency department. RESULTS: A total of 1036 patients were included in the study: 717 (69%) patients with confirmed COVID-19 and 319 (31%) without COVID-19, hospitalized for other causes. The main causes of hospitalization among non-COVID-19 patients were acute heart failure (44%) and bacterial pneumonia (45.8%). Overall, 30-day mortality was 9% among the COVID-19 group and 35% in the non-COVID-19 group. Multivariate analysis showed variables (fever > 3 days, dry cough, acute dyspnea, lymphocytes < 1000 × 103/µL, and ferritin > 250 ng/mL) independently associated with COVID-19 etiology. A decision tree was elaborated to early detect COVID-19 patients in the emergency department. Finally, Kaplan-Meier curves on 30-day survival in COVID-19 patients during the first wave (March-May 2020, n = 289 patients) and the second wave (October-February 2021, n = 428 patients) showed differences between the two study periods (p = 0.021). CONCLUSIONS: Patients with confirmed diagnosis of COVID-19 may show peculiar characteristics at time of hospitalization that could help physicians to distinguish from other infective or non-infective etiologies. Finally, a different 30-day mortality rate was observed during different periods of the pandemic.