Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness Using a Personalized Second-generation Digital System.

INTRODUCTION: Low adherence to chronic treatment regimens is a significant barrier to improving clinical outcomes in patients with chronic diseases. Low adherence is a result of multiple factors. METHODS: We review the relevant studies on the prevalence of low adherence and present some potential solutions. RESULTS: This review presents studies on the current measures taken to overcome low adherence, indicating a need for better methods to deal with this problem. The use of first-generation digital systems to improve adherence is mainly based on reminding patients to take their medications, which is one of the reasons they fail to provide a solution for many patients. The establishment of a second-generation artificial intelligence system, which aims to improve the effectiveness of chronic drugs, is described. CONCLUSION: Improving clinically meaningful outcome measures and disease parameters may increase adherence and improve patients' response to therapy.

Digital Analgesic Comprising a Second-Generation Digital Health System: Increasing Effectiveness by Optimizing the Dosing and Minimizing Side Effects.

Opioids remain an essential part of the treatment of chronic pain. However, their use and increasing rates of misuse are associated with high morbidity and mortality. The development of tolerance to opioids and analgesics further complicates dosing and the need to reduce side effects. First-generation digital systems were developed to improve analgesics but are not always capable of making clinically relevant associations and do not necessarily lead to better clinical efficacy. A lack of improved clinical outcomes makes these systems less applicable for adoption by clinicians and patients. There is a need to enhance the therapeutic regimens of opioids. In the present paper, we present the use of a digital analgesic that consists of an analgesic administered under the control of a second-generation artificial intelligence system. Second-generation systems focus on improved patient outcomes measured based on clinical response and reduced side effects in a single subject. The algorithm regulates the administration of analgesics in a personalized manner. The digital analgesic provides advantages for both users and providers. The system enables dose optimization, improving effectiveness, and minimizing side effects while increasing adherence to beneficial therapeutic regimens. The algorithm improves the clinicians' experience and assists them in managing chronic pain. The system reduces the financial burden on healthcare providers by lowering opioid-related morbidity and provides a market disruptor for pharma companies.

From TTP to Glomerulonephritis: A Lifetime of Lupus.

We report the case of a 56-year-old male patient, who over two decades, sequentially presented with a combination of clinical manifestations. These included thrombotic thrombocytopenic purpura (TTP), right leg deep vein thrombosis (DVT), and eventually constitutional symptoms, arthralgia, diffuse lymphadenopathy, pancytopenia, skin rash, pericarditis, and glomerulonephritis. Serologic tests and renal pathology uncovered a diagnosis of systemic lupus erythematosus (SLE), and immunosuppressive therapy was initiated. Soon after, the patient developed striking cytomegalovirus (CMV) viremia, requiring prolonged antiviral therapy and reduction of immunosuppression. Finally, an acute embolic stroke complicated the disease course. Prompt interventions allowed an excellent clinical outcome.

Targeting SARS-CoV-2 receptors as a means for reducing infectivity and improving antiviral and immune response: an algorithm-based method for overcoming resistance to antiviral agents.

The ongoing severe acute respiratory syndrome pandemic caused by the novel coronavirus 2 (SARS-CoV-2) is associated with high morbidity and mortality rates, and it has created a pressing global need for effective antiviral therapies against it. COVID-19 disease pathogenesis is characterized by an initial virus-mediated phase, followed by inappropriate hyperactivation of the immune system leading to organ damage. Targeting of the SARS-CoV-2 viral receptors is being explored as a therapeutic option for these patients. In this paper, we summarize several potential receptors associated with the infectivity of SARS-CoV-2 and discuss their association with the immune-mediated inflammatory response. The potential for the development of resistance towards antiviral drugs is also presented. An algorithm-based platform to improve the efficacy of and overcome resistance to viral receptor blockers through the introduction of personalized variability is described. This method is designed to ensure sustained antiviral effectiveness when using SARS-CoV-2 receptor blockers.

Initial Development and Validation of a Transition Readiness Scale for Adolescents with Inflammatory Bowel Disease.

BACKGROUND AND AIMS: To date, there are no validated measures in IBD to assess the level of preparedness for transition into adult health care. The purpose of this study was to develop and assess the reliability and validity of a "Transition Readiness" (TR) measure for adolescents with IBD, as well as to evaluate the level of TR synchronicity between adolescents themselves, their parents, and their pediatric gastroenterologists. METHODS: A self-assessment tool was created to evaluate TR. Items were reviewed for face validation by IBD experts, and an exploratory factor analysis was performed which yielded 3 distinct domains. The study cohort included adolescents aged 12-21 yrs, their parents, and their physicians in pediatric IBD centers. Correlations between patient/parent/physician TR between each of the domains and the overall TR score to age were assessed. RESULTS: 63 subjects (average age 16.6 yrs/79% Crohn's disease/44% male) participated in this study. There was a significant correlation between the scoring of adolescents and parents on all three domains. The correlation between adolescents and physicians, as well as between parents and physicians, was only consistent for self-efficacy. Self-efficacy significantly correlated with age, while the correlations between perceived knowledge and perception of medical care with age were not significant. CONCLUSION: Validation of a novel TR measurement for adolescents with IBD demonstrated a good correlation between patients and parents. Out of the three proposed constructs, perceived self-efficacy is the most salient measure.