Early treatment with inhaled budesonide to prevent clinical deterioration in patients with COVID-19

Early and fair COVID-19 outcome risk assessment using robust feature selection

Personalized medicine plays an important role in treatment optimization for COVID-19 patient management. Early treatment in patients at high risk of severe complications is vital to prevent death and ventilator use. Predicting COVID-19 clinical outcomes using machine learning may provide a fast and data-driven solution for optimizing patient care by estimating the need for early treatment. In addition, it is essential to accurately predict risk across demographic groups, particularly those underrepresented in existing models. Unfortunately, there is a lack of studies demonstrating the equitable performance of machine learning models across patient demographics. To overcome this existing limitation, we generate a robust machine learning model to predict patient-specific risk of death or ventilator use in COVID-19 positive patients using features available at the time of diagnosis. We establish the value of our solution across patient demographics, including gender and race. In addition, we improve clinical trust in our automated predictions by generating interpretable patient clustering, patient-level clinical feature importance, and global clinical feature importance within our large real-world COVID-19 positive patient dataset. We achieved 89.38% area under receiver operating curve (AUROC) performance for severe outcomes prediction and our robust feature ranking approach identified the presence of dementia as a key indicator for worse patient outcomes. We also demonstrated that our deep-learning clustering approach outperforms traditional clustering in separating patients by severity of outcome based on mutual information performance. Finally, we developed an application for automated and fair patient risk assessment with minimal manual data entry using existing data exchange standards.

Local budesonide therapy in the management of persistent hyposmia in suspected non-severe COVID-19 patients: Results of a randomized controlled trial

OBJECTIVES

Consequences of COVID-19 on olfactory functions remained unclear during the pandemic. We assessed the efficacy of local budesonide in addition to olfactory rehabilitation when managing non-severe COVID-19 patients with persistent hyposmia.

METHODS

A multicentric, randomized, superiority trial was conducted (ClinicalTrials.gov NCT04361474). The experimental group (EG) received budesonide and physiological saline nasal irrigations administered via three syringes of 20 ml in each nasal cavity in the morning and evening for 30 days. The control group (CG) received a similar protocol without budesonide. Patients were included if they were >18 years old, with a SARS-CoV-2 infection and presenting an isolated hyposmia persisting 30 days after symptom onset. The primary endpoint was the percentage of patients with improvement of more than two points on the ODORATEST score after 30 days of treatment.

RESULTS

In total, 123 patients were included and randomized (EG: 62 vs CG: 61). Two patients from the EG met the primary endpoint with no statistical difference between the two groups (P = 0.5).

CONCLUSION

To our knowledge, this is the first study evaluating local budesonide for COVID-19 related hyposmia treatment even though previous trials were performed with other local corticosteroids. Local budesonide efficacy was not demonstrated for persistent hyposmia related to COVID-19.

Effect of methylprednisolone therapy on hospital stay and viral clearance in patients with moderate COVID-19

Background

The benefits and harms of methylprednisolone treatment in patients with moderate coronavirus disease 2019 (COVID-19) remain controversial. In this study, we investigated the effect of methylprednisolone on mortality rate, viral clearance, and hospitalization stay in patients with moderate COVID-19.

Methods

This retrospective study included 4827 patients admitted to Wuhan Huoshenshan and Wuhan Guanggu hospitals from February to March 2020 diagnosed with COVID-19 pneumonia. The participants' epidemiological and demographic data, comorbidities, laboratory test results, treatments, outcomes, and vital clinical time points were extracted from electronic medical records. The primary outcome was in-hospital death; secondary outcomes were time from admission to viral clearance and hospital stay. Univariate and multivariate logistic or linear regression analysis were used to assess the roles of methylprednisolone in different outcomes. The propensity score matching (PSM) method was used to control for confounding factors.

Results

A total of 1320 patients were included in this study, of whom 100 received methylprednisolone. Overall, in-hospital mortality was 0.91% (12/1320); the 12 patients who died were all in the methylprednisolone group, though multivariate logistic regression analysis showed methylprednisolone treatment was not a risk factor for in-hospital death in moderate patients before or after adjustment for confounders by PSM. Methylprednisolone treatment was correlated with longer length from admission to viral clearance time and hospital stay before and after adjustment for confounders.

Conclusions

Methylprednisolone therapy was not associated with increased in-hospital mortality but with delayed viral clearance and extended hospital stay in moderate COVID-19 patients.

Discovery of new drug indications for COVID-19: A drug repurposing approach

Motivation

The outbreak of coronavirus health issues caused by COVID-19(SARS-CoV-2) creates a global threat to public health. Therefore, there is a need for effective remedial measures using existing and approved therapies with proven safety measures has several advantages. Dexamethasone (Pubchem ID: CID0000005743), baricitinib(Pubchem ID: CID44205240), remdesivir (PubchemID: CID121304016) are three generic drugs that have demonstrated in-vitro high antiviral activity against SARS-CoV-2. The present study aims to widen the search and explore the anti-SARS-CoV-2 properties of these potential drugs while looking for new drug indications with optimised benefits via in-silico research.

Method

Here, we designed a unique drug-similarity model to repurpose existing drugs against SARS-CoV-2, using the anti-Covid properties of dexamethasone, baricitinib, and remdesivir as references. Known chemical-chemical interactions of reference drugs help extract interactive compounds withimprovedanti-SARS-CoV-2 properties. Here, we calculated the likelihood of these drug compounds treating SARS-CoV-2 related symptoms using chemical-protein interactions between the interactive compounds of the reference drugs and SARS-CoV-2 target genes. In particular, we adopted a two-tier clustering approach to generate a drug similarity model for the final selection of potential anti-SARS-CoV-2 drug molecules. Tier-1 clustering was based on t-Distributed Stochastic Neighbor Embedding (t-SNE) and aimed to filter and discard outlier drugs. The tier-2 analysis incorporated two cluster analyses performed in parallel using Ordering Points To Identify the Clustering Structure (OPTICS) and Hierarchical Agglomerative Clustering (HAC). As a result, itidentified clusters of drugs with similar actions. In addition, we carried out a docking study for in-silico validation of top candidate drugs.

Result

Our drug similarity model highlighted ten drugs, including reference drugs that can act as potential therapeutics against SARS-CoV-2. The docking results suggested that doxorubicin showed the least binding energy compared to reference drugs. Their practical utility as anti-SARS-CoV-2 drugs, either individually or in combination, warrants further investigation.

Add-on inhaled budesonide in the treatment of hospitalised patients with COVID-19: a randomised clinical trial

SARS-CoV-2 vaccines have been extremely effective in reducing the incidence of severe coronavirus disease 2019 (COVID-19) [1, 2], but effective and safe treatments for acute infection are still limited [3, 4]. An uncontrolled pulmonary inflammatory response to SARS-CoV-2 is considered a key pathogenic mechanism of COVID-19 progression [5], so systemic dexamethasone is recommended in severe cases [4, 6]. On the other hand, in very mild patients at home, inhaled corticosteroids (ICS) may prevent disease progression [7–10]. Whether ICS can also prevent disease progression in patients hospitalised because of COVID-19 has not been explored previously. Accordingly, we designed an investigator-initiated, open-label, randomised clinical trial (RCT) to explore the efficacy of adding inhaled budesonide to usual care to prevent disease progression in patients hospitalised because of COVID-19 pneumonia. We also carefully monitored the safety of this intervention since there are concerns about the use of systemic corticosteroids in other viral (influenza) lung infections [11].

The addition of inhaled budesonide to usual care is safe and may reduce the risk of disease progression in patients hospitalised because of COVID-19 pneumoniahttps://bit.ly/3tEQo3p

Clinical Management of Adult Patients with COVID-19 Outside Intensive Care Units: Guidelines from the Italian Society of Anti-Infective Therapy (SITA) and the Italian Society of Pulmonology (SIP)

INTRODUCTION

The Italian Society of Anti-Infective Therapy (SITA) and the Italian Society of Pulmonology (SIP) constituted an expert panel for developing evidence-based guidance for the clinical management of adult patients with coronavirus disease 2019 (COVID-19) outside intensive care units.

METHODS

Ten systematic literature searches were performed to answer ten different key questions. The retrieved evidence was graded according to the Grading of Recommendations Assessment, Development, and Evaluation methodology (GRADE).

RESULTS AND CONCLUSION

The literature searches mostly assessed the available evidence on the management of COVID-19 patients in terms of antiviral, anticoagulant, anti-inflammatory, immunomodulatory, and continuous positive airway pressure (CPAP)/non-invasive ventilation (NIV) treatment. Most evidence was deemed as of low certainty, and in some cases, recommendations could not be developed according to the GRADE system (best practice recommendations were provided in similar situations). The use of neutralizing monoclonal antibodies may be considered for outpatients at risk of disease progression. For inpatients, favorable recommendations were provided for anticoagulant prophylaxis and systemic steroids administration, although with low certainty of evidence. Favorable recommendations, with very low/low certainty of evidence, were also provided for, in specific situations, remdesivir, alone or in combination with baricitinib, and tocilizumab. The presence of many best practice recommendations testified to the need for further investigations by means of randomized controlled trials, whenever possible, with some possible future research directions stemming from the results of the ten systematic reviews.

Pharmacological Treatment of Patients with Mild to Moderate COVID-19: A Comprehensive Review

Mild to moderate COVID-19 can be found in about 80% of patients. Although mortality is low, mild to moderate COVID-19 may progress to severe or even critical stages in about one week. This poses a substantial burden on the health care system, and ultimately culminates in death or incapacitation and hospitalization. Therefore, pharmacological treatment is paramount for patients with this condition, especially those with recognized risk factors to disease progression. We conducted a comprehensive review in the medical literature searching for randomized studies carried out in patients with mild to moderate COVID-19. A total of 14 randomized studies were identified, enrolling a total of 6848 patients. Nine studies (64%) were randomized, placebo-controlled trials, whereas five were open-label randomized trials (35%). We observed that Bamlanivimab and nitazoxanide reduced viral load, whereas ivermectin may have shortened time to viral clearance; Interferon Beta-1 reduced time to viral clearance and vitamin D reduced viral load; Favirapir, peginterferon, and levamisole improved clinical symptoms, whereas fluvoxamine halted disease progression; inhaled budesonide reduced the number of hospitalizations and visits to emergency departments; colchicine reduced the number of deaths and hospitalizations. Collectively, therefore, these findings show that treatment of early COVID-19 may be associated with reduced viral load, thus potentially decreasing disease spread in the community. Moreover, treatment of patients with mild to moderate COVID-19 may also be associated with improved clinical symptoms, hospitalization, and disease progression. We suggest that colchicine, inhaled budesonide, and nitazoxanide, along with nonpharmacological measures, based on efficacy and costs, may be used to mitigate the effects of the COVID-19 pandemic in middle-income countries.