Health Economic Evaluation of COVID-19 Vaccines: A Systematic Literature Review

Objectives: The COVID19 pandemic caused over six million deaths worldwide as of 2022 and made necessary the rapid development of vaccines. The objective of this Systematic Literature Review is to summarise the main evidence from economic evaluations of vaccines against COVID19. Method(s): Searches were conducted on PubMed on July 13th 2022. The selected papers considered COVID19 vaccination scenarios without population limits. The types of study design examined were cost-benefit and cost-effectiveness analyses. Result(s): Overall, 16 articles from an initial list of 1842 were included in this review. Out of the 16 models, there were five Markov cohort models (three of them were combined with a decision tree model), four dynamic transmission models, three microsimulation models, three epidemiological models (without further information on the model structure) and one decision tree model. Model characteristics were considerably consistent between high-, middle- or low-income countries. Five studies considered both the healthcare and societal perspective, while seven studies reported only the former, and one only the latter. Two studied did not specify the study perspective. Ten of the studies did not consider any level of herd immunity, and no study considered cross-protection. Although eight studies used "naive" comparisons between vaccines, none of the studies conducted thorough indirect treatment comparison. All the models suggest that vaccines are cost-effective as they prevent death and transmission, and reduce the severity of cases. Although the sources of effectiveness estimates were always stated, the details of those studies were rarely reported. Nevertheless, the outcome measures and the key parameters used in the models were generally clearly stated and justified. Conclusion(s): This SLR highlights several challenges for conducting Health Economic evaluations of COVID19 vaccines. The quality of the models and their estimates suffered from the very fast pace of COVID19 research. Therefore, economic evidence on vaccination programs requires additional rigorous research.Copyright © 2023

Hypogammaglobulinemia after Rituximab Treatment in an Italian Real-Life Cohort of Iim

Background. Rituximab (RTX) is a chimeric monoclonal antibody that binds the CD20 molecule on the surface of B cells and leads to B cell depletion. RTX is recommended by the European League Against Rheumatism (EULAR) as off-label in patients affected by idiopathic inflammatory myopathies (IIM). The real-world experience has shown that hypogammaglobulinemia occurring early after anti-CD20 treatment can be multifactorial (active disease, effect of other drugs) and usually transient, with a minimal increase in the risk of infections. The present study aimed to analyse the differences in the rate of RTX-associated hypogammaglobulinemia in a cohort of IIM patients in clinical practice, as well as the onset of major infections and its correlation with hypogammaglobulinemia. Methods. Patients followed at Rheumatology Unit of Siena University Hospital from January 2020 to September 2021 were retrospectively enrolled. Inclusion criteria were as follows: fulfilment of disease-specific classification criteria 2017 EULAR criteria and /or Peter and Bohan criteria for dermatomyositis (DM) and polymyositis (PM), positivity of anti-synthetase antibody and typical clinical features for anti-synthetase syndrome (ASS) and the measurement of serum Ig levels at the time of RTX administration (maximum 2 weeks before) (T0) and 6 (T1) to 12 (T2) months later, consistently with previous studies. Ig serum levels, measured by standard nephelometry (normal ranges: IgG 700-1600 mg/dL, IgM 40-240 mg/dL, IgA 70-400 mg/dL) were assessed as part of routine clinical care. Hypogammaglobulinemia was defined as moderate (serum IgG <600 mg/dL) and severe (IgG <400 mg/dL), as previously reported. Results. Seven patients (mean+/-SD, 57.3+/-19.7 years;7 female) were enrolled. Three of them had diagnosis of DM, three ASS and one PM. Two patients showed MDA5-positivity, two JO1-positivity, one TIF1-gamma-positivity, one PL7-positivity and the other one PM/Scl-positivity. All patients had at least two organs involved, and 4 out of 7 (57%) suffered from interstitial lung disease. Before starting RTX treatment, three and four patients underwent at least one and two synthetic immunosuppressants. All patients underwent low dosage of corticosteroids, and four patients underwent concomitant synthetic immunosuppressants (2 hydroxychloroquine and 2 MTX). IgG concentrations were statically lower at T2 compared to those at baseline (p=0.0391). None of them showed severe hypogammaglobulinemia. Similarly, IgM concentration significantly decreased at T2 compared to those at baseline (p=0.0078). Two patients showed major infections and two patients had paucisymptomatic COVID-19 (one of them had twice). Corticosteroids dosages were inversely correlated with IgG T2 concentrations (p=0.040, r=-0.919). Conclusion. Hypogammaglobulinemia following RTX is uncommon in IIM and is more likely in patients with high glucocorticoids, immunosuppressants and CYC exposure. IgG monitoring at least 6 months after RTX treatment may be useful in stratifying patients to identify those who require closer monitoring. These results shine a spotlight for increased awareness of the role of immunoglobulin measurement before maintenance doses of RTX.

RELAPSES of IDIOPATHIC INFLAMMATORY MYOPATHIES after VACCINATION AGAINST COVID19: A REAL-LIFE ITALIAN STUDY

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination plays a crucial role as pivotal strategies to curb the coronavirus dis-ease-19 (COVID-19) pandemic. Despite the mass-scale vaccination, literature data about the incidence of disease fares in IIM patients are still not reported as well as the immunological condition. Objectives: The present study aimed to describe the clinical status of patients affected by IIM after vaccination against COVID19 in order to assess the number of relapses or immune-mediated reactions in a cohort of Italian patients with such disease. Methods: We included all patients affected by IIM and followed by Myositis Clinic, Rheumatology and Respiratory Diseases Units, Siena University Hospital, Bari University Hospital, Policlinico Umberto I, Sapienza University, Rome, and Policlinico Paolo Giaccone, Palermo. Inclusion criteria were a recent (<3 months) clinical and serological assessment before the survey and a defnite diagnosis of dermatomyosi-tis, polymyositis and anti-synthetase syndrome. All patients underwent a telephone survey in order to establish their clinical status and potential relapses after vaccination. Results: A total of 119 IIM patients (median, IQR 58 (47-66) years;32 males) were consecutively enrolled. Fifty had a diagnosis of DM, 39 had PM and 30 had ASS. The median months of disease duration was 79.62±83.98. According to number of organs involvement, forty-two had only one, 45 had two organs involvement, 20 had three, 11 had four and one had five. The majority of them received two doses of COVID-19 vaccine, except four patients who refused the vaccination: 94 (78.9%) Cominarty, 16 (13.4%) Moderna, 5 (0.04%) AZ. Seven (0.06%) patients had fare after vaccination, the majority of them were mild except one major with three organs involved and one life-threatening with systemic involvement. In order to understand or predict the effect of demographic and clinical features on the fare development after vaccination, a logistic regression analysis was performed. The goodness-of-ft statistics showed a Chi2 associated with the Log ratio (L.R.) of 0.045. From the probability associated with the Chi-square tests, the Type II analysis showed the variable that most influences the development of fare was the number of organs involved (p=0.047). Sixty-eight patients received the third dose of COVID-19 vaccination: 51 (75%) Cominarty and 17 (25%) Moderna. Only one (0.01%) patient (the same who had life-threatening fare with systemic involvement after two doses) had fare after third dose and eventually died. Conclusion: Vaccines against SARS-CoV2 have provided, both in registratory studies and in preliminary real-life evidence, an overall good efficacy and safety. Nevertheless, only scanty data are available for rheumatic patients in general and the ones affected by IIM in particular. To the best of our knowledge, ours represent the largest cohort of IIM patients in which immunogenicity of anti-SARS-CoV2 vaccine was assessed. In line with real-life data from other diseases, we found a non-statistically signifcant risk of relapse in our patients, which occurred seldom, usually mild and in patients with a more severe and aggressive course of disease.

Prognostic bioindicators in severe COVID-19 patients.

BACKGROUND: Severe acute respiratory syndrome caused by novel coronavirus 2 (SARS-CoV-2) emerged in Wuhan (China) in December 2019. Here we evaluated a panel of biomarkers to phenotype patients and to define the role of immuno-inflammatory mediators as biomarkers of severity. MATERIALS AND METHODS: Serum samples were obtained from 24 COVID-19 patients on admission to hospital, before any treatment or infusion of intravenous steroids or invasive ventilation. KL-6 IL-6 and C-peptide were measured by chemiluminescent enzyme immunoassay. IL-6 assay was validated for accuracy and precision. The validity of variables used to distinguish severe from mild-to-moderate patients was assessed by areas under curves (AUC) of the receiver operating characteristic (ROC) and logistic regression was performed to combine parameters of the two groups. RESULTS: In the severe group, IL-6, CRP and KL-6 concentrations were significantly higher than in mild-to-moderate patients. KL-6, IL-6 and CRP concentrations were directly correlated with each other. ROC curve analysis of the logistic regression model including IL-6, KL-6 and CRP showed the best performance with an AUC of 0.95. CONCLUSIONS: Besides corroborating previous reports of over-expression of IL-6 in severe COVID-19 patients requiring mechanical ventilation, analytical determination of other mediators showed that IL-6 concentrations were correlated with those of KL-6 and CRP. The combination of these three prognostic bioindicators made it possible to distinguish severe COVID-19 patients with poor prognosis from mild-to-moderate patients.

Strategies for optimizing the supply of N95 filtering facepiece respirators during the coronavirus disease 2019 (COVID-19) pandemic. (Special Section: COVID-19.)

N95 respirators are personal protective equipment most often used to control exposures to infections transmitted via the airborne route. Supplies of N95 respirators can become depleted during pandemics or when otherwise in high demand. In this paper, we offer strategies for optimizing supplies of N95 respirators in health care settings while maximizing the level of protection offered to health care personnel when there is limited supply in the United States during the 2019 coronavirus disease pandemic. The strategies are intended for use by professionals who manage respiratory protection programs, occupational health services, and infection prevention programs in health care facilities to protect health care personnel from job-related risks of exposure to infectious respiratory illnesses. Consultation with federal, state, and local public health officials is also important. We use the framework of surge capacity and the occupational health and safety hierarchy of controls approach to discuss specific engineering control, administrative control, and personal protective equipment measures that may help in optimizing N95 respirator supplies.

Immune-inflammatory biomarkers' panel for severe COVID-19 patients

Background: Severe acute respiratory syndrome caused by novel coronavirus 2 (SARS-CoV-2) emerged in Wuhan (China) in December 2019. This study aimed to evaluate a panel of biomarkers in order to better phenotype population and to define the role of mediators as biomarkers of severity.Materials and methods: Serum samples were obtained from 24 COVID-19 patients at the hospital admission before any treatments and infusion of intravenous steroids or invasive ventilation. KL-6 IL-6 and C peptide were measured with CLEIA methods. IL-6 assays were validated for accuracy and precision. The validity of variables used to distinguish severe from mild-to-moderate group was assessed by areas under curves (AUC) in the receiver operating characteristic (ROC) and a logistic regression was performed to combine parameters between the two groups.Results: In severe group, IL-6 CRP and KL-6 concentrations were significantly increased than mild-to-moderate patients. Moreover KL-6, IL-6 and CRP biomarkers resulted directly correlated. In the logistic regression, ROC curve analysis of the model comprise IL-6, KL-6 and CRP reported the best performance with an AUC 0,95. Conclusions: On corroborating previous reports on IL-6 over-expression in severe COVID 19 patients requiring mechanical ventilation, the analytical determination of other mediators showed that IL-6 concentrations are correlated with those of KL-6 and CRP. The combination of three prognostic bioindicators allowed to discriminate between severe COVID-19 patients with poor prognosis from mild-tomoderate patients.