The efficacy of corticosteroids therapy in patients with moderate to severe SARS-CoV-2 infection: a multicenter, randomized, open-label trial

Comprehensive analysis of gastrointestinal side effects in COVID-19 patients undergoing combined pharmacological treatment with azithromycin and hydroxychloroquine: a systematic review and network meta-analysis

During the COVID-19 pandemic, several drugs were repositioned and combined to quickly find a way to mitigate the effects of the infection. However, the adverse effects of these combinations on the gastrointestinal tract are unknown. We aimed investigate whether Hydroxychloroquine (HD), Azithromycin (AZ), and Ivermectin (IV) used in combination for the treatment of COVID-19, can lead to the development of gastrointestinal disorders. This is a systematic review and network meta-analysis conducted using Stata and Revman software, respectively. The protocol was registered with PROSPERO (CRD42023372802). A search of clinical trials in Cochrane Library databases, Embase, Web of Science, Lilacs, PubMed, Scopus and Clinicaltrials.gov conducted on November 26, 2023. The eligibility of the studies was assessed based on PICO criteria, including trials that compared different treatments and control group. The analysis of the quality of the evidence was carried out according to the GRADE. Six trials involving 1,686 COVID-19 patients were included. No trials on the association of HD or AZ with IV met the inclusion criteria, only studies on the association between HD and AZ were included. Nausea, vomiting, diarrhea, abdominal pain and increased transaminases were related. The symptoms of vomiting and nausea were evaluated through a network meta-analysis, while the symptom of abdominal pain was evaluated through a meta-analysis. No significant associations with these symptoms were observed for HD, AZ, or their combination, compared to control. Low heterogeneity and absence of inconsistency in indirect and direct comparisons were noted. Limitations included small sample sizes, varied drug dosages, and potential publication bias during the pandemic peak. This review unveils that there are no associations between gastrointestinal adverse effects and the combined treatment of HD with AZ in the management of COVID-19, as compared to either the use of a control group or the administration of the drugs individually, on the other hand, highlighting the very low or low certainty of evidence for the evaluated outcomes. To accurately conclude the absence of side effects, further high-quality randomized studies are needed.

Premature Ovarian Insufficiency After Coronavirus Disease 2019 (COVID-19): Autoimmune Follicle-Stimulating Hormone (FSH) and FSH Receptor Blockade

BACKGROUND

Since the onset of the coronavirus disease (COVID-19) pandemic, a variety of long-COVID-19 symptoms and autoimmune complications have been recognized.

CASES

We report three cases of autoimmune premature poor ovarian response in patients aged 30-37 years after mild to asymptomatic COVID-19 before vaccination, with nucleotide antibody confirmation. Two patients failed to respond to maximum-dose gonadotropins for more than 4 weeks, despite a recent history of response before having COVID-19. After a month of prednisone 30 mg, these two patients had normal follicle-stimulating hormone (FSH) levels, high oocyte yield, and blastocyst formation in successful in vitro fertilization cycles. All three patients have above-average anti-müllerian hormone levels that persisted throughout their clinical ovarian insufficiency. Two patients had elevated FSH levels, perhaps resulting from FSH receptor blockade. One patient, with a history of high response to gonadotropins 75 international units per day and below-normal FSH levels, had no ovarian response to more than a month of gonadotropins (525 international units daily), suggesting autoimmune block of the FSH glycoprotein and possible FSH receptor blockade.

CONCLUSION

Auto-antibody production in response to COVID-19 before vaccination may be a rare cause of autoimmune poor ovarian response. Although vaccination is likely protective, further study will be required to evaluate the effect of vaccination and duration of autoimmune FSH or FSH receptor blockade.

Methylprednisolone therapy induces differential metabolic trajectories in severe COVID-19 patients

IMPORTANCE

The SARS-CoV-2 virus infection in humans induces significant inflammatory and systemic reactions and complications of which corticosteroids like methylprednisolone have been recommended as treatment. Our understanding of the metabolic and metabolomic pathway dysregulations while using intravenous corticosteroids in COVID-19 is limited. This study will help enlighten the metabolic and metabolomic pathway dysregulations underlying high daily doses of intravenous methylprednisolone in COVID-19 patients compared to those receiving placebo. The information on key metabolites and pathways identified in this study together with the crosstalk with the inflammation and biochemistry components may be used, in the future, to leverage the use of methylprednisolone in any future pandemics from the coronavirus family.

Adverse cognitive effects of glucocorticoids: A systematic review of the literature

OBJECTIVES

Glucocorticoids as a drug class are widely used in the treatment of many conditions including more recently as one of the mainstay treatments for the SARS-CoV-2 infection. The physiological adverse effects are well described. However, less is known and understood about the potentially deleterious neuro-cognitive effects of this class of medication.

METHODS

We carried out a systematic review of the literature using two separate search strategies. The first focussed on the rates of reporting of adverse cognitive effects of glucocorticoid use in randomised controlled trials. The second looked at those studies focussing directly on adverse cognitive effects associated with the use of glucocorticoids. MEDLINE, Embase and Cochrane Library was searched for randomised controlled trials utilising glucocorticoids as a part of a treatment regimen. Additionally, these databases were also used to search for articles looking directly at the adverse cognitive effects of glucocorticoids.

RESULTS

Of the forty-three RCTs included as a part of the first search strategy, only one (2.3%) included specific documentation pertaining to cognitive side effects. As a part of the twenty studies included in the second search strategy, eleven of the included studies (55%) were able to demonstrate a correlation between glucocorticoid use and decreased cognition. Most studies within this strategy showed that GCs predominately affected hippocampus-dependent functions such as memory, while sparing executive function and attention.

CONCLUSIONS

Overall, the data reporting of adverse clinical effects of glucocorticoid use is poor in recent RCTs. Given the demonstrable effect on predominately hippocampal-dependent cognitive functions evident within the literature, more thorough documentation is needed within clinical research to fully appreciate the potentially widespread nature of these effects.

Comparison of corticosteroids types, dexamethasone, and methylprednisolone in patients hospitalized with COVID-19: A systematic review and network meta-analysis

Background

COVID-19 is associated with severe pneumonia lung damage, acute respiratory distress syndrome (ARDS), and mortality. In this study, we aimed to compare corticosteroids' effect on the mortality risk in patients hospitalized with COVID-19.

Methods

PubMed, Web of Science, Scopus, Cochrane Library, and Embase, were searched using a predesigned search strategy. Randomized controlled trials (RCTs) that had compared the corticosteroid drugs were included. The hazard ratio (HR) with a 95% confidence interval (CI) was used to summarize the effect size from the network meta-analysis (NMA).

Results

Out of 329 retrieved references, 12 RCTs with 11,455 participants met the eligibility criteria in this review. The included RCTs formed one network with six treatments. In addition, five treatments in two RCTs were not connected to the network. Methylprednisolone + usual care (UC) versus UC decreased the risk of death by 0.65 (95% CI: 0.47, 0.90). Among treatments in the network the highest P-score (0.89) was related to Methylprednisolone + UC.

Conclusion

Based on the results of this NMA it seems Methylprednisolone + UC to be the best treatment option in patients with COVID-ARDS and COVID pneumonia.

DrugRep-HeSiaGraph: when heterogenous siamese neural network meets knowledge graphs for drug repurposing

BACKGROUND

Drug repurposing is an approach that holds promise for identifying new therapeutic uses for existing drugs. Recently, knowledge graphs have emerged as significant tools for addressing the challenges of drug repurposing. However, there are still major issues with constructing and embedding knowledge graphs.

RESULTS

This study proposes a two-step method called DrugRep-HeSiaGraph to address these challenges. The method integrates the drug-disease knowledge graph with the application of a heterogeneous siamese neural network. In the first step, a drug-disease knowledge graph named DDKG-V1 is constructed by defining new relationship types, and then numerical vector representations for the nodes are created using the distributional learning method. In the second step, a heterogeneous siamese neural network called HeSiaNet is applied to enrich the embedding of drugs and diseases by bringing them closer in a new unified latent space. Then, it predicts potential drug candidates for diseases. DrugRep-HeSiaGraph achieves impressive performance metrics, including an AUC-ROC of 91.16%, an AUC-PR of 90.32%, an accuracy of 84.63%, a BS of 0.119, and an MCC of 69.31%.

CONCLUSION

We demonstrate the effectiveness of the proposed method in identifying potential drugs for COVID-19 as a case study. In addition, this study shows the role of dipeptidyl peptidase 4 (DPP-4) as a potential receptor for SARS-CoV-2 and the effectiveness of DPP-4 inhibitors in facing COVID-19. This highlights the practical application of the model in addressing real-world challenges in the field of drug repurposing. The code and data for DrugRep-HeSiaGraph are publicly available at https://github.com/CBRC-lab/DrugRep-HeSiaGraph .

Plausibility of natural immunomodulators in the treatment of COVID-19-A comprehensive analysis and future recommendations

The COVID-19 pandemic has inflicted millions of deaths worldwide. Despite the availability of several vaccines and some special drugs approved for emergency use to prevent or treat this disease still, there is a huge concern regarding their effectiveness, adverse effects, and most importantly, their efficacy against the new variants. A cascade of immune-inflammatory responses is involved with the pathogenesis and severe complications with COVID-19. People with dysfunctional and compromised immune systems display severe complications, including acute respiratory distress syndrome, sepsis, multiple organ failure etc., when they get infected with the SARS-CoV-2 virus. Plant-derived natural immune-suppressant compounds, such as resveratrol, quercetin, curcumin, berberine, luteolin, etc., have been reported to inhibit pro-inflammatory cytokines and chemokines. Therefore, natural products with immunomodulatory and anti-inflammatory potential could be plausible targets to treat this contagious disease. This review aims to delineate the clinical trials status and outcomes of natural compounds with immunomodulatory potential in COVID-19 patients along with the outcomes of their in-vivo studies. In clinical trials several natural immunomodulators resulted in significant improvement of COVID-19 patients by diminishing COVID-19 symptoms such as fever, cough, sore throat, and breathlessness. Most importantly, they reduced the duration of hospitalization and the need for supplemental oxygen therapy, improved clinical outcomes in patients with COVID-19, especially weakness, and eliminated acute lung injury and acute respiratory distress syndrome. This paper also discusses many potent natural immunomodulators yet to undergo clinical trials. In-vivo studies with natural immunomodulators demonstrated reduction of a wide range of proinflammatory cytokines. Natural immunomodulators that were found effective, safe, and well tolerated in small-scale clinical trials are warranted to undergo large-scale trials to be used as drugs to treat COVID-19 infections. Alongside, compounds yet to test clinically must undergo clinical trials to find their effectiveness and safety in the treatment of COVID-19 patients.

EvidenceMap: a three-level knowledge representation for medical evidence computation and comprehension

OBJECTIVE

To develop a computable representation for medical evidence and to contribute a gold standard dataset of annotated randomized controlled trial (RCT) abstracts, along with a natural language processing (NLP) pipeline for transforming free-text RCT evidence in PubMed into the structured representation.

MATERIALS AND METHODS

Our representation, EvidenceMap, consists of 3 levels of abstraction: Medical Evidence Entity, Proposition and Map, to represent the hierarchical structure of medical evidence composition. Randomly selected RCT abstracts were annotated following EvidenceMap based on the consensus of 2 independent annotators to train an NLP pipeline. Via a user study, we measured how the EvidenceMap improved evidence comprehension and analyzed its representative capacity by comparing the evidence annotation with EvidenceMap representation and without following any specific guidelines.

RESULTS

Two corpora including 229 disease-agnostic and 80 COVID-19 RCT abstracts were annotated, yielding 12 725 entities and 1602 propositions. EvidenceMap saves users 51.9% of the time compared to reading raw-text abstracts. Most evidence elements identified during the freeform annotation were successfully represented by EvidenceMap, and users gave the enrollment, study design, and study Results sections mean 5-scale Likert ratings of 4.85, 4.70, and 4.20, respectively. The end-to-end evaluations of the pipeline show that the evidence proposition formulation achieves F1 scores of 0.84 and 0.86 in the adjusted random index score.

CONCLUSIONS

EvidenceMap extends the participant, intervention, comparator, and outcome framework into 3 levels of abstraction for transforming free-text evidence from the clinical literature into a computable structure. It can be used as an interoperable format for better evidence retrieval and synthesis and an interpretable representation to efficiently comprehend RCT findings.

The Impact of Immune-Modulating Treatments for Dermatological Diseases on the Risk of Infection with SARS-CoV-2 and Outcomes Associated with COVID-19 Illness

Purpose of Review

Immune-modulating treatments are used in dermatology for a variety of conditions. The authors aim to review the data regarding the safety of these treatments during the COVID-19 pandemic, namely the risk of infection with SARS-CoV-2 and the outcomes associated with COVID-19-related illness.

Recent Findings

Several large-scale studies found no increased risk of COVID-19 infection for patients on TNF-α inhibitors, IL-17 inhibitors, IL-12/23 inhibitors, IL-23 inhibitors, dupilumab, and methotrexate. They also found that these patients did not have worse outcomes when infected with COVID-19. The data regarding JAK inhibitors, rituximab, prednisone, cyclosporine, mycophenolate mofetil, and azathioprine are more mixed.

Summary

Based on current research and guidelines from the American Academy of Dermatology and the National Psoriasis Foundation, dermatology patients on immune-modulating therapies can continue treatment during the COVID-19 pandemic when they are not infected with SARS-CoV-2. For patients who have COVID-19, guidelines encourage individualized assessment of the benefits and risks of continuing or temporarily withholding treatment.

Long Term Treatment of Corticostreroids May Cause Hepatotoxicity and Oxidative Damage: A Case Controlled Study

Arthritis is a clinical condition, which mainly affects the structure and function joints. During this condition the joints gets swelled and stiffed resulting into development of pain and morbidity. Corticosteroids are frequently prescribed to manage various clinical conditions including the chronic inflammatory diseases such as arthritis. The steroidal drug also causes certain adverse effects depending on the dose, the route of administration and duration of treatment. However, a systematic investigation on the biochemical consequences of steroids as a therapeutic has not been carried out. In the present study we analyzed certain parameters associated to oxidative stress, liver function and energy metabolism has been done in the blood plasma of the arthritis patients who were using steroidal drugs (methylprednisolone and deflazacort) up to 168 days for the treatment of the disease. The results indicated increase in level of MDA and decrease in the activities of SOD, CAT and LDH. The activities of AST and ALT were found to be significantly enhanced over the increase in the treatment period. These results suggested that corticosteroids may induce lipid peroxidation, oxidative stress and liver toxicity in the arthritis patients in the dose and duration dependent manner. The use of antioxidants as supplements to the anti-arthritis agents could play a role in suppressing the oxidative stress mediated adverse effects. However, extensive research is required to explore for safer medication devoid of steroids to cure arthritis.

Graphical Abstract

Glucocorticoid Therapy in COVID-19

Coronavirus disease 2019 (COVID-19) pneumonia caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in significant mortality in pandemic proportions. Inflammation in response to the infection contributes to the pathogenesis of pneumonia. This review will discuss prior studies on the use of glucocorticoids to treat respiratory infections, the rationale for the use glucocorticoids in COVID-19, and review of existing data. We will also highlight outstanding research questions for future studies.

Effect of Methylprednisolone on Mortality and Clinical Courses in Patients with Severe COVID-19: A Propensity Score Matching Analysis

BACKGROUND

Whether methylprednisolone therapy can reduce the mortality rate of patients with severe coronavirus disease 2019 (COVID-19) remains controversial, and its effects on the length of hospital stay and virus shedding time are also unknown. This retrospective study investigates the previous issues to provide more evidence for methylprednisolone treatment in severe COVID-19.

METHODS

This retrospective study included 563 of 4827 patients with confirmed COVID-19 admitted to Wuhan Huoshenshan Hospital or Wuhan Guanggu Hospital between February 3, 2020 and March 30, 2020 who met the screening criteria. 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, and the secondary outcomes were 2 clinical courses: length from admission to viral clearance and discharge. Univariate and multivariate logistic or linear regression analyses were used to assess the role of methylprednisolone in different outcomes. Propensity score matching was performed to control for confounding factors.

RESULTS

Of the 563 patients who met the screening criteria and were included in the subsequent analysis, 138 were included in the methylprednisolone group and 425 in the nonmethylprednisolone group. The in-hospital death rate between the methylprednisolone and nonmethylprednisolone groups showed a significant difference (23.91% vs. 1.65%, P < 0.001), which was maintained after propensity score matching (13.98% vs. 5.38%, P = 0.048). However, univariate logistic analysis in the matched groups showed that methylprednisolone treatment (odds ratio [OR], 5.242; 95% confidence interval [CI], 0.802 to 34.246; P = 0.084) was not a risk factor for in-hospital death in severe patients. Further multivariate logistic regression analysis found comorbidities (OR, 3.327; 95% CI, 1.702 to 6.501; P < 0.001), lower lymphocyte count (OR, 0.076; 95% CI, 0.012 to 0.461; P = 0.005), higher lactate dehydrogenase (LDH) levels (OR, 1.008; 95% CI, 1.003 to 1.013; P = 0.002), and anticoagulation therapy (OR, 11.187; 95% CI, 2.459 to 50.900; P = 0.002) were associated with in-hospital mortality. Multivariate linear regression analysis in the matched groups showed that methylprednisolone treatment was not a risk factor for a prolonged duration from admission to viral clearance (β Value 0.081; 95% CI, -1.012 to 3.657; P = 0.265) or discharge (β Value 0.114; 95% CI, -0.723 to 6.408; P = 0.117). d-dimer (β Value, 0.144; 95% CI, 0.012 to 0.817; P = 0.044), LDH (β Value 0.260; 95% CI, 0.010 to 0.034; P < 0.001), and antiviral therapy (β Value 0.220; 95% CI, 1.373 to 6.263; P = 0.002) were associated with a longer length from admission to viral clearance. The lymphocyte count (β Value -0.206; 95% CI, -6.248 to -1.197; P = 0.004), LDH (β Value 0.231; 95% CI, 0.012 to 0.048; P = 0.001), antiviral therapy (β Value 0.143; 95% CI, 0.058 to 7.497; P = 0.047), and antibacterial therapy (β Value 0.152; 95% CI, 0.133 to 8.154; P = 0.043) were associated with a longer hospitalization duration from admission to discharge. Further stratified analysis revealed that the low daily dose group (≤60 mg/d) and the low total dose group (≤200 mg) had shorter duration from admission to viral clearance (Z=-2.362, P = 0.018; Z=-2.010, P = 0.044) and a shorter hospital stay (Z=-2.735, P = 0.006; Z=-3.858, P < 0.001).

CONCLUSIONS

In patients with severe COVID-19, methylprednisolone is safe and does not prolong the duration from admission to viral clearance or discharge. Low-dose, short-term methylprednisolone treatment may be more beneficial in shortening the disease course.

Safety and efficacy of glucocorticoids in the treatment of COVID-19: A meta-analysis of randomized control trials

BACKGROUND

It is unclear the efficacy and safety of glucocorticoids compared with placebo or usual care for treatment of COVID-19.

RESEARCH DESIGN AND METHODS

Randomized controlled trials (RCTs) of corticosteroids in COVID-19 patients from 1 December 2019, to 30 June 2022, were assessed using Cochrane bias risk assessment method and improved Jadad score scale. GRADEpro was used to rate the quality of evidence for outcomes.

RESULTS

Fifteen RCTs were included, including 10,620 patients. Glucocorticoid treatment for severe and critical COVID-19 showed lesser all-cause mortality (OR = 0.85, 95% CI [0.76, 0.94], P = 0.002) than conventional treatment. However, for mildly ill patients, neither inhaled drugs nor intravenous drugs reduced mortality (OR = 0.64, 95% CI [0.24, 1.76], P = 0.39). Glucocorticoids had no significant effect on the adverse reactions of patients (OR = 1.18, 95% CI [0.77, 1.80], P = 0.44) compared with usual care/placebo. Subgroup analysis demonstrated that dexamethasone significantly reduced the mortality of COVID-19 patients. Low-dose glucocorticoids were also associated with lower all-cause mortality.

CONCLUSION

Glucocorticoids (especially dexamethasone) reduce mortality of patients with severe and critical COVID-19 with no significant effect on the incidence of adverse reactions (moderate quality). In contrast, glucocorticoids do not benefit patients with mild symptoms (low quality).

The evidence from clinical trials on colchicine and corticosteroids' effect on COVID-19: a systematic review and meta-analysis

OBJECTIVES

With no clear end for the outbreak, identifying the drugs that are effective in COVID-19's management is of utmost importance to reduce the impact on the general population and the healthcare systems.

METHODS

This is a systematic review and a meta-analysis evaluating the evidence from clinical trials on the effect of colchicine and corticosteroids against COVID-19. In this review, we have systematically searched five databases [(PubMed, Embase, clinicaltrials.gov, ICTRP, CINAHL (EBSCO)]. Cochrane's data extraction sheet was used to collect the required information, and RevMan-5.4.1 was used to conduct the meta-analysis and to assess the risk of bias. The review was registered in Prospero (CRD42022299718).

RESULTS

The total number of included studies was 17, with 18,956 participants; the majority were male 12,001. Out of which, 8772 participants were on colchicine, 569 took methylprednisolone, and 64 patients received prednisolone. The meta-analysis has shown that colchicine had no significant effect on reducing the mortality rate among COVID-19 patients [OR 0.98(95% CI 0.90-1.08), p = .70), I²:1%)], corticosteroids have significantly reduced the mortality rates [OR 0.55 (95% CI 0.33-0.91), p = .02, I²:40]. Colchicine did not reduce the incidence of ICU admissions [OR 0.74 (95% CI 0.39-1.40), p = .35, I²:0%], while steroidal drugs significantly reduced the ICU admissions [OR 0.42 (95% CI 0.23-0.78), p = .005, I²:0%]. Unlike steroidal drugs [OR 0.53 (95% CI 0.30-0.95), p = .03, I²:61%], colchicine failed to reduce the need for mechanical ventilation [OR 0.73 (95% CI 0.48-1.10), p = .13, I²:76%]. Steroidal drugs significantly reduced the duration of hospitalization among COVID-19 patients [OR -0.50 (95% CI -0.79-0.21), p = .0007, I²:36%].

CONCLUSIONS

The use of colchicine did not significantly reduce the mortality rate, ICU admissions, and mechanical ventilation among COVID-19 patients. Conversely, corticosteroids significantly reduced the mortality rate, ICU admissions, mechanical ventilation, and hospitalization duration among COVID-19 patients.

Systemic corticosteroids for the treatment of COVID-19: Equity-related analyses and update on evidence

BACKGROUND

Systemic corticosteroids are used to treat people with COVID-19 because they counter hyper-inflammation. Existing evidence syntheses suggest a slight benefit on mortality. Nonetheless, size of effect, optimal therapy regimen, and selection of patients who are likely to benefit most are factors that remain to be evaluated.

OBJECTIVES

To assess whether and at which doses systemic corticosteroids are effective and safe in the treatment of people with COVID-19, to explore equity-related aspects in subgroup analyses, and to keep up to date with the evolving evidence base using a living systematic review approach.

SEARCH METHODS

We searched the Cochrane COVID-19 Study Register (which includes PubMed, Embase, CENTRAL, ClinicalTrials.gov, WHO ICTRP, and medRxiv), Web of Science (Science Citation Index, Emerging Citation Index), and the WHO COVID-19 Global literature on coronavirus disease to identify completed and ongoing studies to 6 January 2022.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) that evaluated systemic corticosteroids for people with COVID-19. We included any type or dose of systemic corticosteroids and the following comparisons: systemic corticosteroids plus standard care versus standard care, different types, doses and timings (early versus late) of corticosteroids. We excluded corticosteroids in combination with other active substances versus standard care, topical or inhaled corticosteroids, and corticosteroids for long-COVID treatment.

DATA COLLECTION AND ANALYSIS

We followed standard Cochrane methodology. To assess the risk of bias in included studies, we used the Cochrane 'Risk of bias' 2 tool for RCTs. We rated the certainty of the evidence using the GRADE approach for the following outcomes: all-cause mortality up to 30 and 120 days, discharged alive (clinical improvement), new need for invasive mechanical ventilation or death (clinical worsening), serious adverse events, adverse events, hospital-acquired infections, and invasive fungal infections.

MAIN RESULTS

We included 16 RCTs in 9549 participants, of whom 8271 (87%) originated from high-income countries. A total of 4532 participants were randomised to corticosteroid arms and the majority received dexamethasone (n = 3766). These studies included participants mostly older than 50 years and male. We also identified 42 ongoing and 23 completed studies lacking published results or relevant information on the study design. Hospitalised individuals with a confirmed or suspected diagnosis of symptomatic COVID-19 Systemic corticosteroids plus standard care versus standard care plus/minus placebo We included 11 RCTs (8019 participants), one of which did not report any of our pre-specified outcomes and thus our analyses included outcome data from 10 studies. Systemic corticosteroids plus standard care compared to standard care probably reduce all-cause mortality (up to 30 days) slightly (risk ratio (RR) 0.90, 95% confidence interval (CI) 0.84 to 0.97; 7898 participants; estimated absolute effect: 274 deaths per 1000 people not receiving systemic corticosteroids compared to 246 deaths per 1000 people receiving the intervention (95% CI 230 to 265 per 1000 people); moderate-certainty evidence). The evidence is very uncertain about the effect on all-cause mortality (up to 120 days) (RR 0.74, 95% CI 0.23 to 2.34; 485 participants). The chance of clinical improvement (discharged alive at day 28) may slightly increase (RR 1.07, 95% CI 1.03 to 1.11; 6786 participants; low-certainty evidence) while the risk of clinical worsening (new need for invasive mechanical ventilation or death) may slightly decrease (RR 0.92, 95% CI 0.84 to 1.01; 5586 participants; low-certainty evidence). For serious adverse events (two RCTs, 678 participants), adverse events (three RCTs, 447 participants), hospital-acquired infections (four RCTs, 598 participants), and invasive fungal infections (one study, 64 participants), we did not perform any analyses beyond the presentation of descriptive statistics due to very low-certainty evidence (high risk of bias, heterogeneous definitions, and underreporting). Different types, dosages or timing of systemic corticosteroids We identified one RCT (86 participants) comparing methylprednisolone to dexamethasone, thus the evidence is very uncertain about the effect of methylprednisolone on all-cause mortality (up to 30 days) (RR 0.51, 95% CI 0.24 to 1.07; 86 participants). None of the other outcomes of interest were reported in this study. We included four RCTs (1383 participants) comparing high-dose dexamethasone (12 mg or higher) to low-dose dexamethasone (6 mg to 8 mg). High-dose dexamethasone compared to low-dose dexamethasone may reduce all-cause mortality (up to 30 days) (RR 0.87, 95% CI 0.73 to 1.04; 1269 participants; low-certainty evidence), but the evidence is very uncertain about the effect of high-dose dexamethasone on all-cause mortality (up to 120 days) (RR 0.93, 95% CI 0.79 to 1.08; 1383 participants) and it may have little or no impact on clinical improvement (discharged alive at 28 days) (RR 0.98, 95% CI 0.89 to 1.09; 200 participants; low-certainty evidence). Studies did not report data on clinical worsening (new need for invasive mechanical ventilation or death). For serious adverse events, adverse events, hospital-acquired infections, and invasive fungal infections, we did not perform analyses beyond the presentation of descriptive statistics due to very low-certainty evidence. We could not identify studies for comparisons of different timing and systemic corticosteroids versus other active substances. Equity-related subgroup analyses We conducted the following subgroup analyses to explore equity-related factors: sex, age (< 70 years; ≥ 70 years), ethnicity (Black, Asian or other versus White versus unknown) and place of residence (high-income versus low- and middle-income countries). Except for age and ethnicity, no evidence for differences could be identified. For all-cause mortality up to 30 days, participants younger than 70 years seemed to benefit from systemic corticosteroids in comparison to those aged 70 years and older. The few participants from a Black, Asian, or other minority ethnic group showed a larger estimated effect than the many White participants. Outpatients with asymptomatic or mild disease There are no studies published in populations with asymptomatic infection or mild disease.

AUTHORS' CONCLUSIONS

Systemic corticosteroids probably slightly reduce all-cause mortality up to 30 days in people hospitalised because of symptomatic COVID-19, while the evidence is very uncertain about the effect on all-cause mortality up to 120 days. For younger people (under 70 years of age) there was a potential advantage, as well as for Black, Asian, or people of a minority ethnic group; further subgroup analyses showed no relevant effects. Evidence related to the most effective type, dose, or timing of systemic corticosteroids remains immature. Currently, there is no evidence on asymptomatic or mild disease (non-hospitalised participants). Due to the low to very low certainty of the current evidence, we cannot assess safety adequately to rule out harmful effects of the treatment, therefore there is an urgent need for good-quality safety data. Findings of equity-related subgroup analyses should be interpreted with caution because of their explorative nature, low precision, and missing data. We identified 42 ongoing and 23 completed studies lacking published results or relevant information on the study design, suggesting there may be possible changes of the effect estimates and certainty of the evidence in the future.

Prognostic peripheral blood biomarkers at ICU admission predict COVID-19 clinical outcomes

The COVID-19 pandemic continues to challenge the capacities of hospital ICUs which currently lack the ability to identify prospectively those patients who may require extended management. In this study of 90 ICU COVID-19 patients, we evaluated serum levels of four cytokines (IL-1β, IL-6, IL-10 and TNFα) as well as standard clinical and laboratory measurements. On 42 of these patients (binned into Initial and Replication Cohorts), we further performed CyTOF-based deep immunophenotyping of peripheral blood mononuclear cells with a panel of 38 antibodies. All measurements and patient samples were taken at time of ICU admission and retrospectively linked to patient clinical outcomes through statistical approaches. These analyses resulted in the definition of a new measure of patient clinical outcome: patients who will recover after short ICU stays (&lt; 6 days) and those who will subsequently die or recover after long ICU stays (≥6 days). Based on these clinical outcome categories, we identified blood prognostic biomarkers that, at time of ICU admission, prospectively distinguish, with 91% sensitivity and 91% specificity (positive likelihood ratio 10.1), patients in the two clinical outcome groups. This is achieved through a tiered evaluation of serum IL-10 and targeted immunophenotyping of monocyte subsets, specifically, CD11clow classical monocytes. Both immune biomarkers were consistently elevated ( ≥15 pg/ml and ≥2.7 x107/L for serum IL-10 and CD11clow classical monocytes, respectively) in those patients who will subsequently die or recover after long ICU stays. This highly sensitive and specific prognostic test could prove useful in guiding clinical resource allocation.

Application of Machine Learning in Hospitalized Patients with Severe COVID-19 Treated with Tocilizumab

Among the IL-6 inhibitors, tocilizumab is the most widely used therapeutic option in patients with SARS-CoV-2-associated severe respiratory failure (SRF). The aim of our study was to provide evidence on predictors of poor outcome in patients with COVID-19 treated with tocilizumab, using machine learning (ML) techniques. We conducted a retrospective study, analyzing the clinical, laboratory and sociodemographic data of patients admitted for severe COVID-19 with SRF, treated with tocilizumab. The extreme gradient boost (XGB) method had the highest balanced accuracy (93.16%). The factors associated with a worse outcome of tocilizumab use in terms of mortality were: baseline situation at the start of tocilizumab treatment requiring invasive mechanical ventilation (IMV), elevated ferritin, lactate dehydrogenase (LDH) and glutamate-pyruvate transaminase (GPT), lymphopenia, and low PaFi [ratio between arterial oxygen pressure and inspired oxygen fraction (PaO₂/FiO₂)] values. The factors associated with a worse outcome of tocilizumab use in terms of hospital stay were: baseline situation at the start of tocilizumab treatment requiring IMV or supplemental oxygen, elevated levels of ferritin, glutamate-oxaloacetate transaminase (GOT), GPT, C-reactive protein (CRP), LDH, lymphopenia, and low PaFi values. In our study focused on patients with severe COVID-19 treated with tocilizumab, the factors that were weighted most strongly in predicting worse clinical outcome were baseline status at the start of tocilizumab treatment requiring IMV and hyperferritinemia.

New insights on Effects of Glucocorticoids in SARS-CoV-2 infection

Objective

Since January 2020, the highly contagious novel coronavirus SARS-CoV-2 has caused a global pandemic. Severe COVID-19 leads to a massive release of proinflammatory mediators, leading to diffuse damage to the lung parenchyma, and the development of acute respiratory distress syndrome. Treatment with the highly potent glucocorticoid (GC) dexamethasone was found to be effective in reducing mortality in severely affected patients.

Methods

To review the effects of glucocorticoids in the context of COVID-19 we performed a literature search in the PubMed database using the terms COVID-19 and glucocorticoid treatment. We identified 1429 article publications related to COVID-19 and glucocorticoid published from 1.1.2020 to the present including 238 review articles and 36 Randomized Controlled Trials. From these studies, we retrieved 13 Randomized Controlled Trials and 86 review articles that were relevant to our review topics. We focused on the recent literature dealing with glucocorticoid metabolism in critically ill patients and investigating the effects of glucocorticoid therapy on the immune system in COVID-19 patients with severe lung injury.

Results

In our review, we have discussed the regulation of the hypothalamic-pituitary-adrenal axis in patients with critical illness, selection of a specific GC for critical illness-related GC insufficiency, and recent studies that investigated hypothalamic-pituitary-adrenal dysfunction in patients with COVID-19. We have also addressed the specific activation of the immune system with chronic endogenous glucocorticoid excess, as seen in patients with Cushing syndrome, and, finally, we have discussed immune activation due to coronavirus infection and the possible mechanisms leading to improved outcomes in patients with COVID-19 treated with GCs.

Conclusion

For clinical endocrinologists prescribing GCs for their patients, a precise understanding of both the molecular- and cellular-level mechanisms of endogenous and exogenous GCs is imperative, including timing of administration, dosage, duration of treatment, and specific formulations of GCs.

Multiple Sclerosis Management During the COVID-19 Pandemic

Purpose of Review

COVID-19 has posed a continuously evolving challenge for providers caring for patients with multiple sclerosis (MS). While guidelines from national and international organizations came quickly, these have required constant reassessment and modification as the pandemic has progressed. This review aims to assess the first 2 years of literature on COVID-19 relevant to the clinical management of patients with MS. In particular, we will review how MS impacts the risk of COVID-19 infection, how disease-modifying therapies may alter this risk, and explore considerations regarding disease-modifying therapy (DMT) and vaccination for COVID-19. We will also explore potential ways in which a COVID-19 infection may impact multiple sclerosis. Our goal is to provide an overarching review of the major findings at this stage of the pandemic relevant to those that care for patients with MS.

Recent Findings

Over the course of the COVID-19 pandemic, providers have had to re-evaluate the priorities in the management of MS. A growing number of studies have evaluated the relevant risk factors and considerations regarding MS and particular disease-modifying therapies.

Summary

The long-term impacts of the pandemic on the health of those with MS will continue to be revealed. In general, most patients with MS do not need major revisions to their treatment plan due to COVID-19 risk. However, individuals who are older, more disabled, and on more potent therapies may need to consider strategies for decreasing their overall risk. Regardless, continued improvement in our understanding of interactions between infections, disease-modifying therapy, and MS are paramount to optimizing the care of those with MS going forward.

How to tame your genes: mechanisms of inflammatory gene repression by glucocorticoids

Glucocorticoids (GCs) are widely used therapeutic agents to treat a broad range of inflammatory conditions. Their functional effects are elicited by binding to the glucocorticoid receptor (GR), which regulates transcription of distinct gene networks in response to ligand. However, the mechanisms governing various aspects of undesired side effects versus beneficial immunomodulation upon GR activation remain complex and incompletely understood. In this review, we discuss emerging models of inflammatory gene regulation by GR, highlighting GR's regulatory specificity conferred by context-dependent changes in chromatin architecture and transcription factor or co-regulator dynamics. GR controls both gene activation and repression, with the repression mechanism being central to favorable clinical outcomes. We describe current knowledge about 3D genome organization and its role in spatiotemporal transcriptional control by GR. Looking beyond, we summarize the evidence for dynamics in gene regulation by GR through cooperative convergence of epigenetic modifications, transcription factor crosstalk, molecular condensate formation and chromatin looping. Further characterizing these genomic events will reframe our understanding of mechanisms of transcriptional repression by GR.

COVID-19 scenario and recommendations on the continuity of immunobiological therapy in patients with atopic asthma in Brazil and Latin America

INTRODUCTION

With the abrupt establishment of the COVID-19 pandemic, treatment for immunological diseases may be influenced by the SARS-CoV-2 infection, including asthma and other allergies. Immunobiologics play a pivotal role in the management of severe symptoms of allergy and an opinion regarding the continuity of this treatment during the COVID-19 pandemic must be issued.

AREAS COVERED

In Brazil and other countries, patients with severe asthma were included in the priority groups for COVID-19 vaccination, even those who are undergoing immunobiological therapy. Data are insufficient to support the influence of this therapy on severe COVID-19 as targeting molecules may play a role in the physiopathology of the infection. Therapeutic strategies for asthma and guidelines/statements of the main societies of Allergy in Latin America on the continuity of treatment with immunobiologics during the COVID-19 pandemic were obtained from the institutional websites, PubMed, Scielo, Google Scholar, and CINAHL electronic platforms by searching for papers published up to September 2021.

EXPERT OPINION

Although the association between asthma and COVID-19 has been under investigation, immunobiological treatment should follow the consensus-based statements recommending the maintenance of the therapy unless the patient is infected by the SARS-CoV-2. However, it must be closely followed by the medical assistant.

Systemic corticosteroids for management of COVID-19: Saving lives or causing harm?

The underlying cause of many complications associated with severe COVID-19 is attributed to the inflammatory cytokine storm that leads to acute respiratory distress syndrome (ARDS), which appears to be the leading cause of death in COVID-19. Systemic corticosteroids have anti-inflammatory activity through repression of pro-inflammatory genes and inhibition of inflammatory cytokines, which makes them a potential medical intervention to diminish the upregulated inflammatory response. Early in the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, the role of corticosteroids was unclear. Corticosteroid use in other indications such as ARDS and septic shock has proven benefit while its use in other respiratory viral pneumonias is associated with reduced viral clearance and increased secondary infections. This review article evaluates the benefits and harms of systemic corticosteroids in patients with COVID-19 to assist clinicians in improving patient outcomes, including patient safety. Dexamethasone up to 10 days is the preferred regimen to reduce mortality risk in COVID-19 patients requiring oxygen support, mechanical ventilation, or extracorporeal membrane oxygenation. If dexamethasone is unavailable, other corticosteroids can be substituted at equivalent doses. Higher doses of corticosteroids may be beneficial in patients who develop ARDS. Corticosteroids should be avoided early in the disease course when patients do not require oxygen support because of potential harms.

Progress in the Diagnosis and Treatment of COVID-19 in Children: A Review

Coronavirus disease 2019 (COVID-19) has been circulating in many countries around the world, characterized by long incubation period, strong infectivity, strong variability, high population susceptibility and diversified transmission methods. Its causative agent is severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Compared with adult patients, the clinical manifestations of COVID-19 in children are often dominated by mild or asymptomatic infections, but children are also important virus carriers and play an important role in the transmission of the virus. In addition, some children will show excessive inflammatory response and experience serious complications such as multisystem inflammatory syndrome in children (MIS-C). At present, the research on COVID-19 in children is still imperfect. This article will review epidemiological characteristics, the mechanism of action, variant characteristics, clinical manifestations, auxiliary examinations and treatment of children with COVID-19, in order to provide help for the diagnosis, treatment and research of children with COVID-19.