Geographic Variations in Diagnosis and Treatment of Ankylosing Spondylitis in the United States: A Real-World Study

Regional variations in psoriatic arthritis: Insights from a nationwide multicenter analysis in Türkiye

Objectives

The study aimed to investigate and compare clinical features, disease activity, and the overall disease burden among psoriatic arthritis (PsA) patients across seven distinct geographic regions in Türkiye.

Patients and methods

A multicenter cross-sectional study involving 1,134 PsA patients from 25 referral centers across seven regions was conducted. Demographic and clinical characteristics, comorbidities, joint involvement, extra-articular manifestations, and disease activity measures were evaluated across regions.

Results

A total of 1134 PsA patients from seven different geographic regions in Türkiye participated in this study. The highest number of participants was from the Marmara region (n=409), with subsequent representation from Central Anatolia (n=370), Aegean (n=139), Mediterranean (n=60), Black Sea (n=60), Eastern Anatolia (n=60), and Southeastern Anatolia (n=36) regions. There were significant variations in demographic profile, including age, body mass index, age of disease onset, educational status, comorbidities, and family history of both psoriasis and PsA. Clinical features, such as enthesitis, dactylitis, uveitis, and joint involvement, demonstrated significant variation across regions. Additionally, disease activity measures, including pain, patient and physician global assessments, acute phase reactants, disease activity indices, quality of life, and functional status, displayed considerable regional differences.

Conclusion

This nationwide study revealed substantial regional diversity in demographic data, clinical characteristics, disease activity, and quality of life among PsA patients in Türkiye. These findings stress the need to customize treatment approaches to address regional needs and to conduct further research to uncover reasons for disparities. It is crucial to enhance region-specific approaches to improve patient care and outcomes for PsA.

A review of long non-coding RNAs in ankylosing spondylitis: pathogenesis, clinical assessment, and therapeutic targets

Ankylosing spondylitis (AS) is a chronic immune-mediated type of inflammatory arthritis characterized by inflammation, bone erosion, and stiffness of the spine and sacroiliac joints. Despite great efforts put into the investigation of the disease, the pathogenesis of AS remains unclear, posing challenges in identifying ideal targets for diagnosis and treatment. To enhance our understanding of AS, an increasing number of studies have been conducted. Some of these studies reveal that long non-coding RNAs (lncRNAs) play crucial roles in the etiology of AS. Some certain lncRNAs influence the development of AS by regulating inflammatory responses, autophagy, apoptosis, and adipogenesis, as well as the proliferation and differentiation of cells. Additionally, some lncRNAs demonstrate potential as biomarkers, aiding in monitoring disease progression and predicting prognosis. In this review, we summarize recent studies concerning lncRNAs in AS to elucidate the underlying mechanisms in which lncRNAs are involved and their potential values as biomarkers for disease assessment and druggable targets for therapy.

Rapid screening for autoimmune diseases using Fourier transform infrared spectroscopy and deep learning algorithms

Introduce

Ankylosing spondylitis (AS), rheumatoid arthritis (RA), and osteoarthritis (OA) are three rheumatic immune diseases with many common characteristics. If left untreated, they can lead to joint destruction and functional limitation, and in severe cases, they can cause lifelong disability and even death. Studies have shown that early diagnosis and treatment are key to improving patient outcomes. Therefore, a rapid and accurate method for rapid diagnosis of diseases has been established, which is of great clinical significance for realizing early diagnosis of diseases and improving patient prognosis.

Methods

This study was based on Fourier transform infrared spectroscopy (FTIR) combined with a deep learning model to achieve non-invasive, rapid, and accurate differentiation of AS, RA, OA, and healthy control group. In the experiment, 320 serum samples were collected, 80 in each group. AlexNet, ResNet, MSCNN, and MSResNet diagnostic models were established by using a machine learning algorithm.

Result

The range of spectral wave number measured by four sets of Fourier transform infrared spectroscopy is 700-4000 cm-1. Serum spectral characteristic peaks were mainly at 1641 cm-1(amide I), 1542 cm-1(amide II), 3280 cm-1(amide A), 1420 cm-1(proline and tryptophan), 1245 cm-1(amide III), 1078 cm-1(carbohydrate region). And 2940 cm-1 (mainly fatty acids and cholesterol). At the same time, AlexNet, ResNet, MSCNN, and MSResNet diagnostic models are established by using machine learning algorithms. The multi-scale MSResNet classification model combined with residual blocks can use convolution modules of different scales to extract different scale features and use resblocks to solve the problem of network degradation, reduce the interference of spectral measurement noise, and enhance the generalization ability of the network model. By comparing the experimental results of the other three models AlexNet, ResNet, and MSCNN, it is found that the MSResNet model has the best diagnostic performance and the accuracy rate is 0.87.

Conclusion

The results prove the feasibility of serum Fourier transform infrared spectroscopy combined with a deep learning algorithm to distinguish AS, RA, OA, and healthy control group, which can be used as an effective auxiliary diagnostic method for these rheumatic immune diseases.

Economic Burden of HIV in a Commercially Insured Population in the United States

Background: With advances in antiretroviral therapy (ART), people with HIV infection are living longer. Pre-exposure prophylaxis (PrEP) to reduce HIV infection risk continues to be underutilized in high-risk individuals. Recent data on economic burden for patients with newly diagnosed HIV-1 or initiated with PrEP are limited. Objectives: To assess characteristics, healthcare resource utilization (HRU), and costs among adults and adolescents either with newly diagnosed HIV-1 or initiated with PrEP. Methods: This retrospective observational study utilized data from the IBM MarketScan® Commercial Claims and Encounters database. Adults with newly diagnosed HIV-1 or those initiated with PrEP were included (index date was the first HIV diagnosis or PrEP prescription, respectively, between January 1, 2016, and April 30, 2021). Corresponding cohorts of adolescents were considered exploratory. Descriptive analyses were conducted to assess baseline demographics and clinical characteristics, and all-cause and HIV-related HRU and costs per patient per month (PPPM) during follow-up. Results: Data from 18 154 adults and 220 adolescents with newly diagnosed HIV and 34 123 adults and 175 adolescents initiated with PrEP were included. Approximately 70% of adolescents and 9% of adults receiving PrEP were female. Baseline depression/anxiety was present in 16.1% and 24.6% of adults and 14.5% and 45.1% of adolescents in the HIV and PrEP cohorts, respectively. Substance abuse in the HIV and PrEP cohorts, respectively, was reported in 10.1% and 7.0% of adults, and 2.7% and 17.7% of adolescents. During follow-up, among adults with newly diagnosed HIV, mean (SD) total all-cause and HIV-related PPPM costs were $2657 ($5954) and $1497 ($4463), respectively; pharmacy costs represented 47% of all-cause costs and 67% of HIV-related costs, but only 37% of patients had an HIV-related prescription. All-cause costs PPPM for adults with PrEP were $1761 ($1938), with pharmacy costs accounting for 71%. Conclusions: Despite advances in ART, patients with newly diagnosed HIV and at-risk patients receiving PrEP continue to incur HRU costs. The chronic nature of HIV warrants further exploration of factors contributing to disease burden and opportunities to improve prevention strategies.

Novel regulatory role of non-coding RNAs in ankylosing spondylitis

Ankylosing spondylitis (AS) is a type of arthritis that primarily affects the spine and involves disorders of the immune and skeletal systems. However, the exact pathogenesis of AS is not fully understood. Non-coding RNAs (ncRNAs), particularly, long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and micro RNAs (miRNAs) and their interactions have been shown to influence many biological processes such as inflammatory responses, osteogenic differentiation and apoptosis, pyroptosis, and proliferation. In addition, ncRNAs reflect the disease activity of AS. In this review, we discuss the regulatory roles of ncRNAs in AS cell functions (inflammatory responses, cellular osteogenic differentiation and apoptosis, pyroptosis, and proliferation) and their potential applications in AS diagnosis and treatment. Understanding the role of ncRNAs in the pathogenesis of AS will lay the foundation for exploring potential new therapeutic approaches for AS.

Autoimmune Idiopathic Inflammatory Myopathies: Pharmacological Differences and Similarities by Type of Myositis and by Sociodemographic Variables

Objective

Autoimmune idiopathic inflammatory myopathies (IIMs) are a group of pathologies that are generally characterized by muscle weakness. Their treatment involves glucocorticoids and immunosuppressants. The aim was to identify differences and similarities in the pharmacological management of a group of patients with autoimmune IIMs according to the type of disease, sex, age group, and city of residence in Colombia from 2020 to 2021.

Methods

This cross-sectional study identified medication prescription patterns for outpatient use in patients with autoimmune IIMs between 2020 and 2021 based on a population database of 8.5 million Colombians affiliated with the Colombian health system. Sociodemographic and pharmacological variables were considered.

Results

A total of 671 patients with autoimmune IIMs were identified, with a median age of 57 years, and 70.9% were women. Overlap myositis was the most frequent disease (31.4%). A total of 91.5% of the patients received pharmacological treatment, mainly systemic glucocorticoids (78.5%), conventional disease-modifying antirheumatic drugs (DMARDs) (74.1%), immunosuppressants (9.1%), and biological DMARDs (3.7%). Pharmacological management predominated among patients with overlap myositis, those who lived in cities, and those affiliated with the contributory regime of the Colombian health system. Conventional DMARDs were prescribed mainly to women and to those older than 65 years.

Conclusions

Patients with autoimmune IIMs are not treated homogeneously. The pattern of drug use varies according to the type of IIM, sex, age group, city, and health system regime affiliation.

Nonsteroidal anti-inflammatory drugs and cardiovascular disease risk in spondyloarthritis-spectrum diseases

PURPOSE OF REVIEW

Increased cardiovascular (CV) risk associated with nonsteroidal anti-inflammatory drugs (NSAIDs) is well recognized in the general population. This may limit the use of this effective therapy in patients with spondyloarthritis (SpA), a population already at high CV risk.

RECENT FINDINGS

Increased CV diseases and their risk factors in patients with SpA were consistently shown in recent population-level data. NSAIDs remained commonly prescribed in SpA, though their structural benefit remained controversial and the dispensing practice was variable in different regions in the world. A previous observation study suggested NSAIDs in SpA might be cardio-protective, possibly via their modulation of the chronic inflammatory state. A recent meta-analysis of nonrandomized studies also revealed no increased risk of a CV event. Interestingly, there is growing evidence that different NSAIDs might impose differential CV risk on patients with SpA.

SUMMARY

Recent evidence suggested NSAIDs were associated with a neutral and possibly lower CV risk in patients with SpA, which provided some reassurance for their use.