Analyzing Pre-operative Hospital Stay and Incidence of Hospital Acquired Infection: A Retrospective Study.

Background and objectives: Healthcare-associated infections (HCAIs) pose a significant challenge, impacting patient safety and treatment effectiveness. This retrospective study investigates the correlation between pre-operative hospital stays and HCAIs in ICU cardiac surgery patients. Materials and methods: Medical records of 35 patients who died post-cardiac surgery in the ICU were analyzed, focusing on the duration of pre-operative hospitalization. Results: Prolonged pre-operative stays strongly correlate (r = 0.993) with increased HCAIs, indicating a critical risk factor. Conclusions: The duration of pre-operative hospital stays is pivotal in HCAI risk. Prospective multicenter studies are needed for validation, which is crucial for enhancing patient safety and treatment efficacy.

Recent Advances across the Spectrum of Heart Failure and Heart Transplant.

In recent years, remarkable progress has been accomplished in the heart failure (HF) landscape, with novel drugs and groundbreaking device approaches [...].

[Choosing a tailored prosthetic valve in cardiac surgery: what is the current role of mechanical prostheses?] / Il ruolo delle protesi valvolari meccaniche oggi. Dalla letteratura alla situazione italiana.

The choice of the mechanical/biological heart valve prosthesis is a topic currently debated in the light of the transcatheter prosthetic models and the results obtained/expected with the new biological valve models. Consequently, it seems that increasingly younger patients would be indicated for an implantation of a biological prosthesis. This is also in order to improve the quality of life of patients who want to avoid oral anticoagulant therapy. On the other hand, the guidelines for the treatment of heart valve disease assign a central role to the use of mechanical valve prostheses, particularly for certain patient subsets and age groups. This means that mechanical prostheses are still widely used worldwide, especially in non-European or North American regions. The cardiac surgery community therefore seems to be very interested in biological prostheses and transcatheter implants and scarcely interested in mechanical prostheses, including possible strategies for self-management of anticoagulant therapy. Recently, the Italian Society of Cardiac Surgery promoted a survey among its members to stimulate interest in the cardiac surgery community. This review article aims to summarize the most current results recorded with the use of mechanical prostheses and possible strategies, especially for the management of oral anticoagulant therapy, which can improve the patient's quality of life.

Mechanical heart valves and oral anticoagulation: a survey of the Italian Society of Cardiac Surgery.

In the latest European guidelines for the management of valvular heart disease, mechanical valve prostheses maintain a strategic role, particularly for certain patient subsets and age groups. Despite the high number of devices implanted in clinical practice, particularly in non-European and North American regions, current scientific literature and debate seem to suggest a limited use of mechanical heart valves. The cardiac surgery community seems to be highly interested in biological and transcatheter valve prostheses but less interested in mechanical heart valves, including possible strategies for self-management of anticoagulation therapy. In this respect, the Italian Society of Cardiac Surgery (SICCH), in particular the Italian Group of Research for Outcome in Cardiac Surgery (GIROC), has promoted a survey among its members to stimulate the interest in this topic and express their opinion on this issue that, due to the prevalence of the affected population and the new treatment options for improving patients' quality of life, should be more appraised and debated in the cardiac surgery community. The recorded results, obtained on the answers to 111 questionnaires, seem to divide the specialists into 'pros' and 'contras' on a useful tool for the entire cardiac surgery community. For this reason, SICCH proposes in conclusion to declare its unified and institutional opinion on this topic.

Longitudinal Trajectory Modeling to Assess Adherence to Sacubitril/Valsartan among Patients with Heart Failure.

Medication adherence in chronic conditions is a long-term process. Modeling longitudinal trajectories using routinely collected prescription data is a promising method for describing adherence patterns and identifying at-risk groups. The study aimed to characterize distinct long-term sacubitril/valsartan adherence trajectories and factors associated with them in patients with heart failure (HF). Subjects with incident HF starting sac/val in 2017-2018 were identified from the Campania Regional Database for Medication Consumption. We estimated patients' continuous medication availability (CMA9; R package AdhereR) during a 12-month period. We selected groups with similar CMA9 trajectories (Calinski-Harabasz criterion; R package kml). We performed multinomial regression analysis, assessing the relationship between demographic and clinical factors and adherence trajectory groups. The cohort included 4455 subjects, 70% male. Group-based trajectory modeling identified four distinct adherence trajectories: high adherence (42.6% of subjects; CMA mean 0.91 ± 0.08), partial drop-off (19.6%; CMA 0.63 ± 0.13), moderate adherence (19.3%; CMA 0.54 ± 0.11), and low adherence (18.4%; CMA 0.17 ± 0.12). Polypharmacy was associated with partial drop-off adherence (OR 1.194, 95%CI 1.175-1.214), while the occurrence of ≥1 HF hospitalization (OR 1.165, 95%CI 1.151-1.179) or other hospitalizations (OR 1.481, 95%CI 1.459-1.503) were associated with low adherence. This study found that tailoring patient education, providing support, and ongoing monitoring can boost adherence within different groups, potentially improving health outcomes.

Thromboembolic Events after COVID-19 Vaccination: An Italian Retrospective Real-World Safety Study.

INTRODUCTION: Real-world safety studies can provide important evidence on the thromboembolic risk associated with COVID-19 vaccines, considering that millions of people have been already vaccinated against COVID-19. In this study, we aimed to estimate the incidence of thromboembolic events after COVID-19 vaccination and to compare the Oxford-AstraZeneca vaccine with other COVID-19 vaccines. METHODS: We conducted a retrospective real-world safety study using data from two different data sources: the Italian Pharmacovigilance database (Rete Nazionale di Farmacovigilanza, RNF) and the Campania Region Health system (Sistema INFOrmativo saNità CampanIA, SINFONIA). From the start date of the COVID-19 vaccination campaign (27 December 2021) to 27 September 2022, information on COVID-19 vaccinations and thromboembolic events were extracted from the two databases. The reporting rate (RR) and its 95% confidence interval (95%CI) of thromboembolic events for 10,000 doses was calculated for each COVID-19 vaccine. Moreover, the odds of being vaccinated with the Oxford-AstraZeneca vaccine vs. the other COVID-19 vaccines in cases with thromboembolic events vs. controls without thromboembolic events were computed. RESULTS: A total of 12,692,852 vaccine doses were administered in the Campania Region, of which 6,509,475 (51.28%) were in females and mostly related to the Pfizer-BioNtech vaccine (65.05%), followed by Moderna (24.31%), Oxford-AstraZeneca (9.71%), Janssen (0.91%), and Novavax (0.02%) vaccines. A total of 641 ICSRs with COVID-19 vaccines and vascular events were retrieved from the RNF for the Campania Region, of which 453 (70.67%) were in females. Most ICSRs reported the Pfizer-BioNtech vaccine (65.05%), followed by Oxford-AstraZeneca (9.71%), Moderna (24.31%), and Janssen (0.91%). A total of 2451 events were reported in the ICSRs (3.8 events for ICSRs), of which 292 were thromboembolic events. The higher RRs of thromboembolic events were found with the Oxford-AstraZeneca vaccine (RR: 4.62, 95%CI: 3.50-5.99) and Janssen vaccine (RR: 3.45, 95%CI: 0.94-8.82). Thromboembolic events were associated with a higher likelihood of exposure to the Oxford-AstraZeneca vaccine compared to Pfizer-BioNtech (OR: 6.06; 95%CI: 4.22-8.68) and Moderna vaccines (OR: 6.46; 95%CI: 4.00-10.80). CONCLUSION: We observed a higher reporting of thromboembolic events with viral-vector-based vaccines (Oxford-AstraZeneca and Janssen) and an increased likelihood of being exposed to the Oxford-AstraZeneca vaccine compared to the mRNA vaccines (Pfizer-BioNtech and Moderna) among thromboembolic cases.

An evidence-based debate on epigenetics and immunosenescence in COVID-19.

Immunosenescence contributes to the decline of immune function leading to a reduced ability to respond to severe coronavirus disease 2019 (COVID-19) in elderly patients. Clinical course of COVID-19 is widely heterogeneous and guided by the possible interplay between genetic background and epigenetic-sensitive mechanisms underlying the immunosenescence which could explain, at least in part, the higher percentage of disease severity in elderly individuals. The most convincing evidence regards the hypomethylation of the angiotensin-converting enzyme 2 (ACE2) promoter gene in lungs as well as the citrullination of histone H3 in neutrophils which have been associated with worsening of COVID-19 outcome in elderly patients. In contrast, centenarians who have showed milder symptoms have been associated to a younger "epigenetic age" based on DNA methylation profiles at specific genomic sites (epigenetic clock). Some large prospective studies showed that the acceleration of epigenetic aging as well as the shortening of telomeres were significantly associated with lymphopenia and poor outcome suggesting prognostic biomarkers in elderly COVID-19 patients. Furthermore, randomized clinical trials showed that statins, L-arginine, and resveratrol could mediate anti-inflammatory effects via indirect epigenetic interference and might improve COVID-19 outcome. Here, we discuss the epigenetic-sensitive events which might contribute to increase the risk of severity and mortality in older subjects and possible targeted therapies to counteract immunosenescence.

Durability of bioprosthetic aortic valve replacement in patients under the age of 60 years - 1-year follow-up from the prospective INDURE registry.

OBJECTIVES: We report 1-year safety and clinical outcomes in patients <60 years undergoing bioprosthetic surgical aortic valve intervention. METHODS: The INSPIRIS RESILIA Durability Registry is a prospective, multicentre registry to assess clinical outcomes of patients <60 years. Patients with planned SAVR with or without concomitant replacement of the ascending aorta and/or coronary bypass surgery were included. Time-related valve safety, haemodynamic performance and quality of life (QoL) at 1 year were assessed. RESULTS: A total of 421 patients were documented with a mean age of 53.5 years, 76.5% being male and 27.2% in NYHA class III/IV. Outcomes within 30 days included cardiovascular-related mortality (0.7%), time-related valve safety (VARC-2; 5.8%), thromboembolic events (1.7%), valve-related life-threatening bleeding (VARC-2; 4.3%) and permanent pacemaker implantation (3.8%). QoL was significantly increased at 6 months and sustained at 1 year. Freedom from all-cause mortality at 1 year was 98.3% (95% confidence interval 97.1; 99.6) and 81.8% were NYHA I versus 21.9% at baseline. No patient developed structural valve deterioration stage 3 (VARC-3). The mean aortic pressure gradient was 12.6 mmHg at 1 year and the effective orifice area was 1.9 cm2. CONCLUSIONS: The 1-year data from the INSPIRIS RESILIA valve demonstrate good safety and excellent haemodynamic performance as well as an early QoL improvement. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov: NCT03666741.

Artificial intelligence, big data and heart transplantation: Actualities.

BACKGROUND: As diagnostic and prognostic models developed by traditional statistics perform poorly in real-world, artificial intelligence (AI) and Big Data (BD) may improve the supply chain of heart transplantation (HTx), allocation opportunities, correct treatments, and finally optimize HTx outcome. We explored available studies, and discussed opportunities and limits of medical application of AI to the field of HTx. METHOD: A systematic overview of studies published up to December 31st, 2022, in English on peer-revied journals, have been identified through PUBMED-MEDLINE-WEB of Science, referring to HTx, AI, BD. Studies were grouped in 4 domains based on main studies' objectives and results: etiology, diagnosis, prognosis, treatment. A systematic attempt was made to evaluate studies by the Prediction model Risk Of Bias ASsessment Tool (PROBAST) and the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD). RESULTS: Among the 27 publications selected, none used AI applied to BD. Of the selected studies, 4 fell in the domain of etiology, 6 in the domain of diagnosis, 3 in the domain of treatment, and 17 in that of prognosis, as AI was most frequently used for algorithmic prediction and discrimination of survival, but in retrospective cohorts and registries. AI-based algorithms appeared superior to probabilistic functions to predict patterns, but external validation was rarely employed. Indeed, based on PROBAST, selected studies showed, to some extent, significant risk of bias (especially in the domain of predictors and analysis). In addition, as example of applicability in the real-world, a free-use prediction algorithm developed through AI failed to predict 1-year mortality post-HTx in cases from our center. CONCLUSIONS: While AI-based prognostic and diagnostic functions performed better than those developed by traditional statistics, risk of bias, lack of external validation, and relatively poor applicability, may affect AI-based tools. More unbiased research with high quality BD meant for AI, transparency and external validations, are needed to have medical AI as a systematic aid to clinical decision making in HTx.

Cardiotoxicity, Cardioprotection, and Prognosis in Survivors of Anticancer Treatment Undergoing Cardiac Surgery: Unmet Needs.

BACKGROUND: Anticancer treatments are improving the prognosis of patients fighting cancer. However, anticancer treatments may also increase the cardiovascular (CV) risk by increasing metabolic disorders. Atherosclerosis and atherothrombosis related to anticancer treatments may lead to ischemic heart disease (IHD), while direct cardiac toxicity may induce non-ischemic heart disease. Moreover, valvular heart disease (VHD), aortic syndromes (AoS), and advanced heart failure (HF) associated with CV risk factors and preclinical CV disease as well as with chronic inflammation and endothelial dysfunction may also occur in survivors of anti-carcer treatments. METHODS: Public electronic libraries have been searched systematically looking at cardiotoxicity, cardioprotection, CV risk and disease, and prognosis after cardiac surgery in survivors of anticancer treatments. RESULTS: CV risk factors and disease may not be infrequent among survivors of anticancer treatments. As cardiotoxicity of established anticancer treatments has been investigated and is frequently irreversible, cardiotoxicity associated with novel treatments appears to be more frequently reversible, but also potentially synergic. Small reports suggest that drugs preventing HF in the general population may be effective also among survivors of anticancer treatments, so that CV risk factors and disease, and chronic inflammation, may lead to indication to cardiac surgery in survivors of anticancer treatments. There is a lack of substantial data on whether current risk scores are efficient to predict prognosis after cardiac surgery in survivors of anticancer treatments, and to guide tailored decision-making. IHD is the most common condition requiring cardiac surgery among survivors of anticancer treatments. Primary VHD is mostly related to a history of radiation therapy. No specific reports exist on AoS in survivors of anticancer treatments. CONCLUSIONS: It is unclear whether interventions to dominate cancer- and anticancer treatment-related metabolic syndromes, chronic inflammation, and endothelial dysfunction, leading to IHD, nonIHD, VHD, HF, and AoS, are as effective in survivors of anticancer treatments as in the general population. When CV diseases require cardiac surgery, survivors of anticancer treatments may be a population at specifically elevated risk, rather than affected by a specific risk factor.

"Transplantomics" for predicting allograft rejection: real-life applications and new strategies from Network Medicine.

Although decades of the reductionist approach achieved great milestones in optimizing the immunosuppression therapy, traditional clinical parameters still fail in predicting both acute and chronic (mainly) rejection events leading to higher rates across all solid organ transplants. To clarify the underlying immune-related cellular and molecular mechanisms, current biomedical research is increasingly focusing on "transplantomics" which relies on a huge quantity of big data deriving from genomics, transcriptomics, epigenomics, proteomics, and metabolomics platforms. The AlloMap (gene expression) and the AlloSure (donor-derived cell-free DNA) tests represent two successful examples of how omics and liquid biopsy can really improve the precision medicine of heart and kidney transplantation. One of the major challenges in translating big data in clinically useful biomarkers is the integration and interpretation of the different layers of omics datasets. Network Medicine offers advanced bioinformatic-molecular strategies which were widely used to integrate large omics datasets and clinical information in end-stage patients to prioritize potential biomarkers and drug targets. The application of network-oriented approaches to clarify the complex nature of graft rejection is still in its infancy. Here, we briefly discuss the real-life clinical applications derived from omics datasets as well as novel opportunities for establishing predictive tests in solid organ transplantation. Also, we provide an original "graft rejection interactome" and propose network-oriented strategies which can be useful to improve precision medicine of solid organ transplantation.

Autoantibodies to IgE can induce the release of proinflammatory and vasoactive mediators from human cardiac mast cells.

Mast cells are multifunctional immune cells with complex roles in tissue homeostasis and disease. Cardiac mast cells (HCMCs) are strategically located within the human myocardium, in atherosclerotic plaques, in proximity to nerves, and in the aortic valve. HCMCs express the high-affinity receptor (FcεRI) for IgE and can be activated by anti-IgE and anti-FcεRI. Autoantibodies to IgE and/or FcεRI have been found in the serum of patients with a variety of immune disorders. We have compared the effects of different preparations of IgG anti-IgE obtained from patients with atopic dermatitis (AD) with rabbit IgG anti-IgE on the release of preformed (histamine and tryptase) and lipid mediators [prostaglandin D2 (PGD2) and cysteinyl leukotriene C4 (LTC4)] from HCMCs. Functional human IgG anti-IgE from one out of six AD donors and rabbit IgG anti-IgE induced the release of preformed (histamine, tryptase) and de novo synthesized mediators (PGD2 and LTC4) from HCMCs. Human IgG anti-IgE was more potent than rabbit IgG anti-IgE in inducing proinflammatory mediators from HCMCs. Human monoclonal IgE was a competitive antagonist of both human and rabbit IgG anti-IgE. Although functional anti-IgE autoantibodies rarely occur in patients with AD, when present, they can powerfully activate the release of proinflammatory and vasoactive mediators from HCMCs.

Cardiovascular risk factors and molecular routes underlying endothelial dysfunction: Novel opportunities for primary prevention.

One of the major challenges of cardiovascular primary prevention approach is the absence of early biomarkers of endothelial dysfunction which may be useful for identifying at-risk subjects. Endothelial dysfunction is a systemic disorder in which traditional cardiovascular risk factors, such as aging, gender, hypertension, smoking, hyperglycemia, and dyslipidemia, as well as emerging risk determinants, such as fetal factors, gut microbiome alteration, clonal hematopoiesis, air pollution, and sleep disorders act synergistically to tip the endothelial balance in favor of vasoconstrictive, pro-inflammatory, and pro-thrombotic phenotypes. Endothelial dysfunction can start already in fetal life and may be regained once detrimental stimuli are removed. The hallmark of endothelial dysfunction is a marked reduction of nitric oxide (NO) bioavailability owing to epigenetic-sensitive dysregulation of the endothelial nitric oxide synthase (eNOS) gene and upregulation of reactive oxygen species (ROS) in endothelial cells (ECs). Advance in liquid-based assays and molecular biology tools are providing novel potential EC-specific biomarkers for prediction and diagnosis of endothelial dysfunction. Significant associations between clinically useful indexes of endothelial dysfunction, mainly brachial artery flow-mediated dilation (FMD), and increased number of endothelial microparticles (EMPs), increased levels of endoglin and endocan, as well as reduced levels of irisin were observed in subjects with one or more traditional risk factors. However, none entered in clinical practice yet. Smoking cessation, weight loss, physical exercise, and diet control are the milestones of cardiovascular primary prevention, and they may restore endothelial function via epigenetic-sensitive pathways able to reduce inflammation and oxidative stress and increase NO production . We briefly summarize well-known and novel molecular routes driving early endothelial dysfunction mainly in human ECs and related potential biomarkers which may add predictive or diagnostic value to the traditional non-invasive techniques. Also, we focus on clinical trials investigating lifestyle modifications and their impact on molecular routes involved in restoring endothelial function.

Risk of SARS-CoV-2 Infection Breakthrough among the Non-Vaccinated and Vaccinated Population in Italy: A Real-World Evidence Study Based on Big Data.

SARS-CoV-2 infection after vaccination can occur because COVID-19 vaccines do not offer 100% protection. The study aim was to assess duration of vaccination coverage, disease symptoms and type of hospitalization among non-vaccinated and vaccinated subjects to evaluate the vaccination trend over time. A retrospective cohort study was carried out among people testing COVID-19 positive in Campania Region using information from the Health Information System of Campania Region (Sinfonia). Vaccination status was assessed considering: no vaccination, partial vaccination and effective vaccination. Univariate and multivariate logistic regression models were constructed to evaluate the association between ICU admissions caused by COVID-19 and gender, age groups and vaccine type. Vaccine coverage duration trends were investigated using segmented linear regression and breakpoint estimations. Vaccination coverage was assessed by analyzing COVID-19 positive subjects in the 9 months after an effective dose vaccination. A significant risk of hospitalization in the ICU was caused by vaccination status: subjects non-vaccinated (OR: 7.14) and partially vaccinated (OR: 3.68) were 3 and 7 times more at risk of hospitalization, respectively, than subjects effectively vaccinated. Regarding subjects with an effective vaccination, the vaccine's ability to protect against infection in the months following vaccination decreased. The risk of contracting COVID-19 after vaccination was higher 5 months (ß = 1441, p < 0.001) and 7 months (ß = 3110, p < 0.001) after administration of an effective dose. COVID-19 vaccines were demonstrated to protect from symptomatic infection by significantly reducing hospitalization risk, and their full protection against SARS-CoV-2 was demonstrated to decrease after 5 months regardless of age, gender or vaccine type.

Postvaccination SARS-CoV-2 Infections among Healthcare Professionals: A Real World Evidence Study.

Due to the COVID-19 pandemic, all countries with a global mobilization started to produce and authorize vaccines, prioritizing healthcare professionals (HCPs) to reduce transmission. The aim of this study was to assess post-vaccination infections' occurrence among HCPs and their correlation with symptom onset. A retrospective cohort study was carried out in the Campania Region from December 2020 to April 2021. Data were retrieved from the Regional Health Information System of the Campania Region (Sinfonia). The study cohort included subjects that had all received at least one vaccine dose. Risk ratios (RRs) adjusted for age and sex (95% confidence intervals) were performed to assess differences in the prevalence between HCPs who tested positive or negative for COVID-19. Univariate and multivariate logistic regression models were used to evaluate the association between symptoms and vaccination status. Findings revealed that HCPs had a lower risk of contracting COVID-19 after receiving at least one vaccine dose, and this risk decreased with age. Furthermore, not having full vaccination coverage may predict a severe/critical evolution of the disease. This study provides a snapshot of the initial state of the Italian vaccination campaign on HCPs. A surveillance approach using Big Data matched to clinical conditions could offer a real analysis in the categorization of subjects most at risk.

COVID-19 response: effectiveness of weekly rapid risk assessments, Italy.

PROBLEM: After Italy's first national restriction measures in 2020, a robust approach was needed to monitor the emerging epidemic of coronavirus disease 2019 (COVID-19) at subnational level and provide data to inform the strengthening or easing of epidemic control measures. APPROACH: We adapted the European Centre for Disease Prevention and Control rapid risk assessment tool by including quantitative and qualitative indicators from existing national surveillance systems. We defined COVID-19 risk as a combination of the probability of uncontrolled transmission of severe acute respiratory syndrome coronavirus 2 and of an unsustainable impact of COVID-19 cases on hospital services, adjusted in relation to the health system's resilience. The monitoring system was implemented with no additional cost in May 2020. LOCAL SETTING: The infectious diseases surveillance system in Italy uses consistent data collection methods across the country's decentralized regions and autonomous provinces. RELEVANT CHANGES: Weekly risk assessments using this approach were sustainable in monitoring the epidemic at regional level from 4 May 2020 to 24 September 2021. The tool provided reliable assessments of when and where a rapid increase in demand for health-care services would occur if control or mitigation measures were not increased in the following 3 weeks. LESSONS LEARNT: Although the system worked well, framing the risk assessment tool in a legal decree hampered its flexibility, as indicators could not be changed without changing the law. The relative complexity of the tool, the impossibility of real-time validation and its use for the definition of restrictions posed communication challenges.

The black root: Aortic valve sparing in alkaptonuria.

We report an unusual case of black discoloration of an aortic root aneurysm and aortic valve cusps due to homogentisic acid deposition in a patient suffering from alkaptonuria. The patient underwent a valve-sparing aortic root replacement after careful and objective evaluation of the valve cusps. Despite alkaptonuria is classically associated with aortic valve stenosis and replacement, in the present case, the affected valve cusps were suitable for repair. To our knowledge, this is the first reported case of aortic valve-sparing procedure performed in a patient with alkaptonuria.

Therapeutic strategies to fight COVID-19: Which is the status artis?

COVID-19 is a complex disease, and many difficulties are faced today especially in the proper choice of pharmacological treatments. The role of antiviral agents for COVID-19 is still being investigated and evidence for immunomodulatory and anti-inflammatory drugs is quite conflicting, whereas the use of corticosteroids is supported by robust evidence. The use of heparins in hospitalized critically ill patients is preferred over other anticoagulants. There are conflicting data on the use of convalescent plasma and vitamin D. According to the World Health Organization (WHO), many vaccines are in Phase III clinical trials, and some of them have already received marketing approval in European countries and in the United States. In conclusion, drug repurposing has represented the main approach recently used in the treatment of patients with COVID-19. At this moment, analysis of efficacy and safety data of drugs and vaccines used in real-life context is strongly needed. LINKED ARTICLES: This article is part of a themed issue on The second wave: are we any closer to efficacious pharmacotherapy for COVID 19? (BJP 75th Anniversary). To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v179.10/issuetoc.