COVID-19 therapeutics: Challenges and directions for the future.

The emergence of SARS-CoV-2 triggering the COVID-19 pandemic ranks as arguably the greatest medical emergency of the last century. COVID-19 has highlighted health disparities both within and between countries and will leave a lasting impact on global society. Nonetheless, substantial investment in life sciences over recent decades has facilitated a rapid scientific response with innovations in viral characterization, testing, and sequencing. Perhaps most remarkably, this permitted the development of highly effective vaccines, which are being distributed globally at unprecedented speed. In contrast, drug treatments for the established disease have delivered limited benefits so far. Innovative and rapid approaches in the design and execution of large-scale clinical trials and repurposing of existing drugs have saved many lives; however, many more remain at risk. In this review we describe challenges and unmet needs, discuss existing therapeutics, and address future opportunities. Consideration is given to factors that have hindered drug development in order to support planning for the next pandemic challenge and to allow rapid and cost-effective development of new therapeutics with equitable delivery.

COVID-19 vaccine hesitancy in inflammatory arthritis patients: serial surveys from a large longitudinal national Australian cohort.

OBJECTIVES: To determine COVID-19 vaccine hesitancy rates in inflammatory arthritis patients and identify factors associated with changing vaccine hesitancy over time. METHODS: This investigation was a prospective cohort study of inflammatory arthritis patients from community and public hospital outpatient rheumatology clinics enrolled in the Australian Rheumatology Association Database (ARAD). Two surveys were conducted, one immediately prior to (pre-pandemic) and another approximately 1 year after the start of the pandemic (follow-up). Coronavirus disease 2019 (COVID-19) vaccine hesitancy was measured at follow-up, and general vaccine hesitancy was inferred pre-pandemic; these were used to identify factors associated with fixed and changing vaccine beliefs, including sources of information and broader beliefs about medication. RESULTS: Of the 594 participants who completed both surveys, 74 (12%) were COVID-19 vaccine hesitant. This was associated with pre-pandemic beliefs about medications being harmful (P < 0.001) and overused (P = 0.002), with stronger beliefs resulting in vaccine hesitancy persistent over two time points (P = 0.008, P = 0.005). For those not vaccine hesitant pre-pandemic, the development of COVID-19 vaccine hesitancy was associated with a lower likelihood of seeking out vaccine information from health-care professionals (P < 0.001). COVID-19 vaccine hesitancy was not associated with new influenza vaccine hesitancy (P = 0.138). CONCLUSION: In this study of vaccine beliefs before and during the COVID-19 pandemic, factors associated with COVID-19 vaccine hesitancy in inflammatory arthritis patients varied, depending on vaccine attitudes immediately prior to the start of the pandemic. Fixed beliefs reflected broader views about medications, while fluid beliefs were highly influenced by whether they sought out information from health-care professionals, including rheumatologists.

Using Autoantibodies to Diagnose Systemic Autoimmune Diseases Triggered by Immune Checkpoint Inhibitors: A Clinical Perspective.

Immunotherapies, such as immune checkpoint inhibitors (ICIs), have significantly advanced the treatment of cancer and other conditions. However, these therapies can also cause immune-related adverse events (irAEs), which are unintended side effects due to their effects on the immune system of the treated patient. These effects can be classified as organ-specific or systemic, with the latter being of particular interest due to their potential overlap with systemic autoimmune diseases (SADs). Autoantibodies, which are proteins produced by the immune system that react with self components, are often used to diagnose and classify SAD. However, the diagnostic value of autoantibodies in the context of systemic irAEs (sirAEs) triggered by ICIs is not well understood. This review aims to evaluate the diagnostic value of conventional autoantibodies in the identification and classification of sirAEs. A comprehensive search of the literature was conducted using the PubMed database, with a focus on articles published in the past 10 years. The results of the review suggest that, although autoantibodies can be useful in the diagnosis and classification of some SAD triggered by ICIs, there is a clear predominance of seronegative irAEs. The lack of traditional autoantibodies may suggest a unique mechanism for sirAEs and increases the already complex diagnostic approach of these manifestations, requiring evaluation by multidisciplinary teams with extensive experience in immunomediated diseases. Further research is needed to fully understand the diagnostic value of autoantibodies in this context and to determine the optimal approach for their detection and interpretation.

Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions.

The detection of adverse drug reactions (ADRs) is critical to our understanding of the safety and risk-benefit profile of medications. With an incidence that has not changed over the last 30 years, ADRs are a significant source of patient morbidity, responsible for 5%-10% of acute care hospital admissions worldwide. Spontaneous reporting of ADRs has long been the standard method of reporting, however this approach is known to have high rates of under-reporting, a problem that limits pharmacovigilance efforts. Automated ADR reporting presents an alternative pathway to increase reporting rates, although this may be limited by over-reporting of other drug-related adverse events. We developed a deep learning natural language processing algorithm to identify ADRs in discharge summaries at a single academic hospital centre. Our model was developed in two stages: first, a pre-trained model (DeBERTa) was further pre-trained on 1.1 million unlabelled clinical documents; secondly, this model was fine-tuned to detect ADR mentions in a corpus of 861 annotated discharge summaries. This model was compared to a version without the pre-training step, and a previously published RoBERTa model pretrained on MIMIC III, which has demonstrated strong performance on other pharmacovigilance tasks. To ensure that our algorithm could differentiate ADRs from other drug-related adverse events, the annotated corpus was enriched for both validated ADR reports and confounding drug-related adverse events using. The final model demonstrated good performance with a ROC-AUC of 0.955 (95% CI 0.933 - 0.978) for the task of identifying discharge summaries containing ADR mentions, significantly outperforming the two comparator models.

Medicines stewardship.

Medicines stewardship refers to coordinated strategies and interventions to optimise medicines use, usually within a specific therapeutic area. Medicines stewardship programs can reduce variations in practice and improve patient outcomes. Therapeutic domains for medicines stewardship are chosen to address frequently used drug classes associated with a high risk of adverse outcomes. Some examples include antimicrobial, opioid analgesic, anticoagulation and psychotropic stewardship. Common elements of successful stewardship programs include multidisciplinary leadership, stakeholder engagement, tailored communication strategies, behavioural changes, implementation science methodologies, and ongoing program monitoring, evaluation and reporting. Medicines stewardship is a continual quality improvement process that requires ongoing support and resources, as well as clinician and consumer engagement, to remain sustainable. It is critical for hospital-based medicines stewardship programs to consider impacts on care in the community when making and communicating changes to patient therapy. This ensures that stewardship efforts are sustained across transitions of care.

Value-Based Healthcare in Rheumatology: Axial Spondyloarthritis and Beyond.

PURPOSE OF REVIEW: This review examines axial spondyloarthritis (axSpA) and the wider field of rheumatology through a value-based healthcare (VBHC) lens. VBHC is focused on ensuring patients receive high quality care to improve outcomes and reduce unnecessary costs. RECENT FINDINGS: There are many opportunities to apply the principles of VBHC in axSpA. These include the appropriate utilization of diagnostic investigations, such as HLA-B27 and magnetic resonance imaging, assessing outcomes meaningful to patients, and optimizing care pathways. Multidisciplinary care may improve value, and reduced specialist review and medication tapering may be appropriate. Increasing the value of the care we provide to patients can occur across domains and directly and indirectly improves patient outcomes. Taking the time to integrate principles of VBHC into our practice will allow us to justifiably gain and maintain access to diagnostic and therapeutic advances for the benefit of all our patients.

Healthcare access and attitudes towards telehealth during the early phase of the COVID-19 pandemic among an Australian cohort with inflammatory arthritis.

Community restrictions due to COVID-19 have changed healthcare, including increased telehealth use. During the early pandemic phase, a cohort of Australian patients with inflammatory arthritis was surveyed. Self-reported access to healthcare was maintained and physical health was more likely to be self-rated poorly than mental health. There was a high level of support for telehealth during and after the pandemic.

Abnormalities at three musculoskeletal sites on whole-body positron emission tomography/computed tomography can diagnose polymyalgia rheumatica with high sensitivity and specificity.

PURPOSE: To evaluate the sensitivity and specificity of PET/CT findings in PMR and generate a diagnostic algorithm utilizing a minimum number of musculoskeletal sites. METHODS: Steroid-naïve patients with newly diagnosed PMR (2012 EULAR/ACR classification criteria) were prospectively recruited to undergo whole-body 18F-FDG PET/CT. Each PMR case was age- and sex-matched to four PET/CT controls. Control scan indication, diagnosis and medical history were extracted from the clinical record. Qualitative and semi-quantitative scoring (maximum standardized uptake value [SUVmax]) of abnormal 18F-FDG uptake at 21 musculoskeletal sites was undertaken for cases and controls. Results informed the development of a novel PET/CT diagnostic algorithm using a classification and regression trees (CART) method. RESULTS: Thirty-three cases met the inclusion criteria and were matched to 132 controls. Mean age was 68.6 ± 7.4 years for cases compared with 68.2 ± 7.3 for controls, and 54.5% were male. Median CRP was 49 mg/L (32-65) and ESR 41.5 mm/h (24.6-64.4) in the PMR group. The predominant control indication for PET/CT was malignancy (63.6%). Individual musculoskeletal sites proved insufficient for diagnostic purposes. A novel algorithm comprising 18F-FDG uptake ≥ 2 adjacent to the ischial tuberosities in combination with either abnormalities at the peri-articular shoulder or interspinous bursa achieved a sensitivity of 90.9% and specificity of 92.4% for diagnosing PMR. CONCLUSIONS: The presence of abnormal 18F-FDG uptake adjacent to the ischial tuberosities together with findings at the peri-articular shoulder or interspinous bursa on whole-body PET/CT is highly sensitive and specific for a diagnosis of PMR. TRIAL REGISTRATION: Clinical Trial Registration: Australian New Zealand Clinical Trials Registry, http://www.anzctr.org.au , ACTRN1261400696695.

Real-time prescription monitoring: helping people at risk of harm.

Misuse of opioid analgesics and other psychoactive medicines is a serious and increasing problem in Australia. Measures are being taken to try and prevent this progressing to a public health crisis like the opioid overdose epidemic seen in the USA One measure is real-time prescription monitoring. This provides real-time information about the patient's supply of psychoactive medicines which have a high risk of being misused Having identified a patient at risk, many factors may delay appropriate management or result in the patient being discharged from care. These factors include subconscious negative stereotyping, a focus on preventing 'doctor shoppers' diverting psychoactive medicines, and a fear of sanction by regulators The Medical Board of Australia provides guidance about good practice. Patients should be treated with respect, free from bias and discrimination, and without prejudicing care because of the belief that their behaviour has contributed to their problems

Fusion of positron emission tomography/computed tomography with magnetic resonance imaging reveals hamstring peritendonitis in polymyalgia rheumatica.

Objectives: To characterize 18F-fluorodeoxyglucose (18F-FDG) uptake on whole-body PET/CT in PMR, and identify its precise anatomic correlate using MRI. Methods: Patients with newly diagnosed PMR according to the 2012 EULAR/ACR classification criteria were prospectively recruited. Participants with GCA were excluded. A whole-body 18F-FDG PET/CT scan was performed in all untreated patients. Qualitative and semiquantitative [standardized uptake value maximum (SUVmax)] scoring of abnormal 18F-FDG uptake was undertaken. MRI of the pelvis, knee and wrist and hand was performed in three representative patients with anatomical correlation of FDG-avid sites carried out using Medview fusion software. Results: Twenty-two patients with PMR were recruited. Their mean age was 68.3 years (s.d. 6.3) and 13/22 were male. On whole-body PET/CT, 18F-FDG uptake adjacent to the ischial tuberosities was observed in 21 participants (95.4%) and recorded the highest mean SUVmax value [3.6 (s.d. 1.7)]. A high frequency of posteromedial knee (61.9%) and wrist and/or hand involvement (66.7%) was also appreciated. MRI of the pelvis revealed high T2 signal surrounding the proximal hamstring tendon origins of both semimembranosus and the conjoint tendon of the semitendinosus and biceps femoris. At the knee, peritendonitis at the distal insertion of the semimembranosus was observed. PET/MRI fusion at the pelvis and knee confirmed semimembranosus peritendonitis as the anatomical correlate of 18F-FDG uptake adjacent to the ischial tuberosities and of posteromedial knee structures. Conclusion: Hamstring peritendonitis is a common and distinctive manifestation of PMR on whole-body PET/CT. Trial registration: Australian New Zealand Clinical Trials Registry, http://www.anzctr.org.au, ACTRN1261400696695.

The Need for Classification Criteria of Immune Checkpoint Inhibitor-induced inflammatory Arthritis: A Scoping Review.

Immune checkpoint inhibitor-induced inflammatory arthritis (ICI-IA) is an immune-related adverse event that can occur as a result of receiving ICIs for cancer treatment. Thus far, ICI-IA has been described variably in the literature, in part due to varying presentations that evolve over time, as well as a lack of standardized definitions and classification. This scoping review aggregates various descriptions of ICI-IA, highlighting the most prominent attributes of ICI-IA from categories such as symptoms, signs, imaging, and laboratory findings as well as discussing potential mimic conditions.

Immune Checkpoint Inhibitor-induced Polymyalgia Rheumatica.

Polymyalgia rheumatica (PMR) immune-related adverse events (ICI-PMRs) represent a novel, distinct entity, despite many clinical, laboratory, and imaging similarities to classical PMR. Important questions remain in differentiating ICI-PMR from classical PMR, as well as other immune-related adverse events and PMR mimics. Despite this, ICI-PMR currently takes treatment cues from classical PMR, albeit with considerations relevant to cancer immunotherapy. Comparisons between ICI-PMR and classical PMR may provide further bidirectional insights, especially given that important questions remain unanswered about both diseases. The cause of classical PMR remains poorly understood, and ICI-PMR may represent a model of induced PMR, with important therapeutic implications.

Impact of the COVID-19 Pandemic on Health Care Access and Diagnosis of Pulmonary Arterial Hypertension Among Patients With Systemic Sclerosis.

OBJECTIVE: Regular clinical assessment for complications of systemic sclerosis (SSc) such as pulmonary arterial hypertension (PAH) is essential for early institution of therapy and improved outcomes. The objective of this study was to determine the impact of COVID-19 pandemic-related restrictions on health care access of patients with SSc, including screening for PAH. METHODS: South Australian and Victorian patients enrolled in the Australian Scleroderma Cohort Study were surveyed about their perceptions of the impact of the pandemic on mental well-being, access to medications, investigations, and management of SSc. Frequency of annual rheumatology assessments, pulmonary function tests (PFT), and transthoracic echocardiography (TTE) to screen for PAH were compared with rates from before the pandemic. RESULTS: A total of 312 of 810 patients with SSc responded (38.5% response); 273 were female (87.5%), the median age was 64.7 years, 77.2% had limited disease, the median illness duration was 15.6 years, 15.7% were immunosuppressed, 32.1% had interstitial lung disease, and 6.4% had PAH. A total of 65.7% of consultations were by telehealth, of which 81.2% were by telephone. Compared with respondents in South Australia (n = 109), Victorian respondents (n = 203) experiencing prolonged lockdown, reported reduced access to their rheumatologist (49.3% vs 27.9%; P = 0.004), greater use of consultation by video (17.3% vs 2.1%; P = 0.008), greater health care disruption (49.0% vs 23.2%; P < 0.001), and worse mental health (P = 0.002). Respondents reported reduced access to PFT and TTE (31.7% and 22.5%, respectively). Annual visits, PFT, TTE, and new diagnoses of PAH were reduced in 2020 to 2022 compared with 2011 to 2019. CONCLUSION: The COVID-19 pandemic-related disruption to health care for patients with SSc was associated with worse mental health and reduced screening and diagnosis of PAH, which may impact long-term outcomes.

A Systematic Overview of Contraindications and Special Warnings for Biologic and Targeted Synthetic Disease Modifying Antirheumatic Drugs: Establishing a Framework to Create a "Safety Checklist".

BACKGROUND/AIM: The purpose of this review is to provide an overview of the contraindications, special warnings, and boxed warnings with the aim to establish a framework to create a prescription safety checklist for a class of drugs or disease indication. This study covers biologic disease modifying antirheumatic drugs (bDMARDs) and targeted synthetic DMARDs (tsDMARDs). METHODS: We identified contraindications, boxed warnings, and special warnings provided by the European Medicines Agency (EMA) and the US Food and Drug Administration (FDA). The study included b/tsDMARDs approved for treating rheumatoid arthritis (RA), psoriatic arthritis (PsA), axial spondyloarthritis (SpA), and juvenile idiopathic arthritis (JIA) within the drug-classes anti-CD20, tumor necrosis factor inhibitors (TNFi), interleukin-1 inhibitors (IL-1i), cytotoxic T-lymphocyte-associated protein (CTLA) 4, interleukin-12/23 inhibitors (IL-12/23i), interleukin 6 receptor inhibitors (IL-6Ri), Janus kinase inhibitors (JAKi), phosphodiesterase 4 inhibitors (PDE4i), interleukin-17 inhibitors (IL-17i), and interleukin-23 inhibitors (IL-23i). RESULTS: All drug classes, except PDE4i, had contraindications and/or warnings related to infections, including tuberculosis. A warning about herpes zoster was listed for anti-CD20, IL-1i, IL-6Ri, and JAKi, while a warning about hepatitis reactivation was listed for anti-CD20, TNFi, IL-1i, CTLA4-Ig, IL-6Ri, and JAKi. Malignancy risk was mentioned for all drug classes except PDE4i, IL-17i, and IL-23i. Other warnings included demyelinating disease (TNFi, CTLA4-Ig, and IL-6Ri), heart failure (anti-CD20 and TNFi), major adverse cardiac events (JAKi and IL-12/23) and venous thromboembolism (JAKi), hyperlipidemia (IL-6Ri and JAKi), liver impairment (TNFi, IL-1i, IL-6Ri, and JAKi), kidney impairment (IL-1i, JAKi, and PDE4i), inflammatory bowel disease (IL-17i), gastrointestinal perforation (IL-6Ri, JAKi), cytopenia (anti-CD20, TNFi, IL-1i, IL-6Ri, JAKi), and depression (PDE4i). Contraindications and warnings appeared to increase with the passage of time since the drug's approval. CONCLUSION: This review provides an overview to establish the framework to create an easily accessible and actionable prescription safety checklist from individual medical product prescription information provided by regulatory medical authorities.