Predicting hypertension control using machine learning.

Hypertension is a widely prevalent disease and uncontrolled hypertension predisposes affected individuals to severe adverse effects. Though the importance of controlling hypertension is clear, the multitude of therapeutic regimens and patient factors that affect the success of blood pressure control makes it difficult to predict the likelihood to predict whether a patient's blood pressure will be controlled. This project endeavors to investigate whether machine learning can accurately predict the control of a patient's hypertension within 12 months of a clinical encounter.

Patient satisfaction and patient-reported outcomes do not vary by BMI class in total hip arthroplasty.

Purpose: Obesity has been identified as a risk factor for postoperative complications in patients undergoing total hip arthroplasty (THA). This study aimed to investigate patient-reported outcomes, pain, and satisfaction as a function of body mass index (BMI) class in patients undergoing THA.

Methods: 1736 patients within a prospective observational study were categorized into BMI classes.

Assessment of Patient-Physician Interactions in Psoriatic Arthritis: National Results of the ASSIST Study.

Introduction: An overarching principle for the management of psoriatic arthritis (PsA) is a shared decision-making process between physicians and patients. The aim of this study is to assess the patient-physician relationship in a group of patients with PsA, by using the Perceived Efficacy in Patient-Physician Interactions (PEPPI) and CollaboRATE instruments.

Methods: This is a cross-sectional multicenter study where consecutive patients with PsA were enrolled.

Practice pattern for the use of intravenous iloprost for the treatment of peripheral vasculopathy in systemic sclerosis: A case-control study from the Italian national multicenter "SPRING" (Systemic Sclerosis Progression InvestiGation) Registry.

Background: Intravenous iloprost has been widely used for the treatment of systemic sclerosis peripheral vasculopathy. No agreement has been found on the regimen and the dosage of intravenous iloprost in different scleroderma subset conditions. This study aimed to evaluate the modalities of intravenous iloprost administration within a large cohort of systemic sclerosis patients from the SPRING Registry and to identify any associated clinical-demographic, instrumental or therapeutic data.

Usefulness of Lung Ultrasound as a Method for Early Diagnosis of Interstitial Lung Disease in Patients with Rheumatoid Arthritis.

Purpose: To determine the value of lung ultrasound (LUS) compared to high-resolution computed tomography (HRCT) in the early diagnosis of interstitial lung disease (ILD) in patients with rheumatoid arthritis (RA).

Patients And Methods: An observational prospective study was performed. Were included patients with respiratory symptoms or/and, patients with crackles in auscultation during medical consultation.

Age-Dependent Phenomena of 6-Hz Corneal Kindling Model in Mice.

Although numerous studies have acknowledged disparities in epilepsy-related disease processes between young and aged animals, little is known about how epilepsy changes from young adulthood to middle age. This study investigates the impact of aging on 6-Hz corneal kindling in young-adult mice and middle-aged mice. We found that the kindling acquisition of the 6-Hz corneal kindling model was delayed in middle-aged mice when compared to young-adult mice.

Locus coeruleus tyrosine hydroxylase positive neurons mediated the peripheral and central therapeutic effects of transcutaneous auricular vagus nerve stimulation (taVNS) in MRL/lpr mice.

Objective: This study aims to investigate the effects of transcutaneous auricular vagus nerve stimulation (taVNS) on the development of systemic lupus erythematosus (SLE) in MRL/lpr mice.

Methods: MRL/lpr mice were treated with taVNS for ten weeks. Locus coeruleus (LC) tyrosine hydroxylase positive (TH) neurons were selectively lesioned by stereotactic injection of 6-hydroxydopamine (6-OHDA) or selectively activated by chemogenetic methods.

Polygenic Risk Score for Cardiovascular Diseases in Artificial Intelligence Paradigm: A Review.

Cardiovascular disease (CVD) related mortality and morbidity heavily strain society. The relationship between external risk factors and our genetics have not been well established. It is widely acknowledged that environmental influence and individual behaviours play a significant role in CVD vulnerability, leading to the development of polygenic risk scores (PRS).

The relationship between HLA-B*51 subtypes, clinical manifestations and severity of Behçet's syndrome: a large Italian cohort study.

Objectives: Behçet's syndrome (BS) is a chronic multisystemic inflammatory disorder of unclear aetiology. The predominant BS susceptibility locus was identified within HLA-B*51. HLA-B*51 subtypes were previously studied as disease susceptibility markers.

A Pharmaceutical Paradigm for Cardiovascular Composite Risk Assessment Using Novel Radiogenomics Risk Predictors in Precision Explainable Artificial Intelligence Framework: Clinical Trial Tool.

Background: Cardiovascular disease (CVD) is challenging to diagnose and treat since symptoms appear late during the progression of atherosclerosis. alone are not always sufficient to properly categorize at-risk patients, and are inadequate in predicting cardiac events. Integrating (GBBM) found in plasma/serum samples with novel non-invasive (RBBM) such as plaque area, plaque burden, and maximum plaque height can improve composite CVD risk prediction in the pharmaceutical paradigm.

Upadacitinib effectiveness and factors associated with minimal disease activity achievement in patients with psoriatic arthritis: preliminary data of a real-life multicenter study.

Background: Upadacitinib (UPA) is a selective JAK inhibitor recently approved for the treatment of psoriatic arthritis (PsA). In this post-approval study, we aimed to evaluate the effectiveness and safety of UPA over 24 weeks and identify clinical predictors of response, in a multicentric cohort of patients affected by PsA.

Methods: One hundred and twenty-six patients with PsA treated with UPA were enrolled in 10 Italian centres.

rs1800629 Polymorphism and Response to Anti- Treatment in Behçet Syndrome: Data from an Italian Cohort Study.

Tumor Necrosis Factor-alpha () rs1800629 (-308G>A) is a single nucleotide polymorphism (SNP) related to variable responses to anti- therapy. This therapy is efficient in severe and refractory manifestation of Behçet syndrome (BS), an auto-inflammatory systemic vasculitis. We investigated (1) the association between rs1800629 genotypes and responses to therapy and (2) the correlation between SNP and clinical patterns in a cohort of 74 BS Italian patients receiving anti- therapy with a follow-up of at least 12 months.

Is cyclophosphamide still the gold standard in early severe rapidly progressive systemic sclerosis?

Cyclophosphamide (CYC) has been a gold standard of treatment for severe progressive Systemic Sclerosis (SSc), especially in patients with concomitant interstitial lung disease (ILD). This approach was based on results of several interventional studies, including randomized control trials, which mainly addressed SSc-ILD as a primary end point and skin involvement as a second one. The use of CYC is time-limited due to significant adverse events.

Artificial intelligence-based preventive, personalized and precision medicine for cardiovascular disease/stroke risk assessment in rheumatoid arthritis patients: a narrative review.

The challenges associated with diagnosing and treating cardiovascular disease (CVD)/Stroke in Rheumatoid arthritis (RA) arise from the delayed onset of symptoms. Existing clinical risk scores are inadequate in predicting cardiac events, and conventional risk factors alone do not accurately classify many individuals at risk. Several CVD biomarkers consider the multiple pathways involved in the development of atherosclerosis, which is the primary cause of CVD/Stroke in RA.

The Role of CCL24 in Systemic Sclerosis.

Systemic sclerosis (SSc) is a chronic immune-mediated disease characterized by microangiopathy, immune dysregulation, and progressive fibrosis of the skin and internal organs. Though not fully understood, the pathogenesis of SSc is dominated by microvascular injury, endothelial dysregulation, and immune response that are thought to be associated with fibroblast activation and related fibrogenesis. Among the main clinical subsets, diffuse SSc (dSSc) is a progressive form with rapid and disseminated skin thickening accompanied by internal organ fibrosis and dysfunction.

Characterisation of prodromal and very early psoriatic arthritis: a systematic literature review informing a EULAR taskforce.

Background: Identifying subjects at risk of imminent psoriatic arthritis (PsA) would allow these subjects to participate in therapeutic interventions to delay or prevent PsA development.

Methods: A systematic literature review (SLR) was conducted in 2021 in Medline, Embase, PubMed, Central databases and international congress abstracts (PROSPERO CRD42022255102). All articles reporting the characteristics of patients transitioning from psoriasis (PsO) to PsA and from undifferentiated arthritis (UA) to PsA were included.

Hypermobility spectrum disorders and active migraine in Israeli adolescents: A nationwide study.

Objective: To assess the association between hypermobility spectrum disorders/hypermobile type Ehlers Danlos Syndrome (HSD/hEDS) and migraine in a national sample of adolescents in Israel.

Background: The association between HSD/hEDS and migraine is unclear, even more so in pediatric populations.

Methods: This population-based, cross-sectional study included 1,627,345 Israeli adolescents (945,519/1,626,407 [58%] males; mean age 17 ± 0.

Ensemble Deep Learning Derived from Transfer Learning for Classification of COVID-19 Patients on Hybrid Deep-Learning-Based Lung Segmentation: A Data Augmentation and Balancing Framework.

Background And Motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo generalization and are typically overfitted. Such trained AI systems are not practical for clinical settings and therefore do not give accurate results when executed on unseen data sets.