A Feasibility Open-Labeled Clinical Trial Using a Second-Generation Artificial-Intelligence-Based Therapeutic Regimen in Patients with Gaucher Disease Treated with Enzyme Replacement Therapy.

Background/Objectives: Gaucher Disease type 1 (GD1) is a recessively inherited lysosomal storage disorder caused by a deficiency in the enzyme ß-glucocerebrosidase. Enzyme replacement therapy (ERT) has become the standard of care for patients with GD. However, over 10% of patients experience an incomplete response or partial loss of response to ERT, necessitating the exploration of alternative approaches to enhance treatment outcomes. The present feasibility study aimed to determine the feasibility of using a second-generation artificial intelligence (AI) system that introduces variability into dosing regimens for ERT to improve the response to treatment and potentially overcome the partial loss of response to the enzyme. Methods: This was an open-label, prospective, single-center proof-of-concept study. Five patients with GD1 who received ERT were enrolled. The study used the Altus Care™ cellular-phone-based application, which incorporated an algorithm-based approach to offer random dosing regimens within a pre-defined range set by the physician. The app enabled personalized therapeutic regimens with variations in dosages and administration times. Results: The second-generation AI-based personalized regimen was associated with stable responses to ERT in patients with GD1. The SF-36 quality of life scores improved in one patient, and the sense of change in health improved in two; platelet levels increased in two patients, and hemoglobin remained stable. The system demonstrated a high engagement rate among patients and caregivers, showing compliance with the treatment regimen. Conclusions: This feasibility study highlights the potential of using variability-based regimens to enhance ERT effectiveness in GD and calls for further and longer trials to validate these findings.

Efficacy of oral 20-hydroxyecdysone (BIO101), a MAS receptor activator, in adults with severe COVID-19 (COVA): a randomized, placebo-controlled, phase 2/3 trial.

Background: SARS-CoV-2 binding to ACE2 is potentially associated with severe pneumonia due to COVID-19. The aim of the study was to test whether Mas-receptor activation by 20-hydroxyecdysone (BIO101) could restore the Renin-Angiotensin System equilibrium and limit the frequency of respiratory failure and mortality in adults hospitalized with severe COVID-19. Methods: Double-blind, randomized, placebo-controlled phase 2/3 trial. Randomization: 1:1 oral BIO101 (350 mg BID) or placebo, up to 28 days or until an endpoint was reached. Primary endpoint: mortality or respiratory failure requiring high-flow oxygen, mechanical ventilation, or extra-corporeal membrane oxygenation. Key secondary endpoint: hospital discharge following recovery (ClinicalTrials.gov Number, NCT04472728). Findings: Due to low recruitment the planned sample size of 310 was not reached and 238 patients were randomized between August 26, 2020 and March 8, 2022. In the modified ITT population (233 patients; 126 BIO101 and 107 placebo), respiratory failure or early death by day 28 was 11.4% lower in the BIO101 (13.5%) than in the placebo (24.3%) group, (p = 0.0426). At day 28, proportions of patients discharged following recovery were 80.1%, and 70.9% in the BIO101 and placebo group respectively, (adjusted difference 11.0%, 95% CI [-0.4%, 22.4%], p = 0.0586). Hazard Ratio for time to death over 90 days: 0.554 (95% CI [0.285, 1.077]), a 44.6% mortality reduction in the BIO101 group (not statistically significant). Treatment emergent adverse events of respiratory failure were more frequent in the placebo group. Interpretation: BIO101 significantly reduced the risk of death or respiratory failure supporting its use in adults hospitalized with severe respiratory symptoms due to COVID-19. Funding: Biophytis.

A second-generation artificial intelligence-based therapeutic regimen improves diuretic resistance in heart failure: Results of a feasibility open-labeled clinical trial.

INTRODUCTION: Diuretics are a mainstay therapy for congestive heart failure (CHF); however, over one-third of patients develop diuretic resistance. Second-generation artificial intelligence (AI) systems introduce variability into treatment regimens to overcome the compensatory mechanisms underlying the loss of effectiveness of diuretics. This open-labeled, proof-of-concept clinical trial sought to investigate the ability to improve diuretic resistance by implementing algorithm-controlled therapeutic regimens. METHODS: Ten CHF patients with diuretic resistance were enrolled in an open-labeled trial where the Altus Care™ app managed diuretics' dosage and administration times. The app provides a personalized therapeutic regimen creating variability in dosages and administration times within pre-defined ranges. Response to therapy was measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ) score, 6-minute walk test (SMW), N-terminal pro-brain natriuretic peptide (NT-proBNP) levels, and renal function. RESULTS: The second-generation, AI-based, personalized regimen alleviated diuretic resistance. All evaluable patients demonstrated clinical improvement within ten weeks of intervention. A dose reduction (based on a three-week average before and last three weeks of intervention) was achieved in 7/10 patients (70 %, p = 0.042). The KCCQ score improved in 9/10 (90 %, p = 0.002), the SMW improved in 9/9 (100 %, p = 0.006), NT-proBNP was decreased in 7/10 (70 %, p = 0.02), and serum creatinine was decreased in 6/10 (60 %, p = 0.05). The intervention was associated with reduced number of emergency room visits and the number of CHF-associated hospitalizations. SUMMARY: The results support that the randomization of diuretic regimens guided by a second-generation personalized AI algorithm improves the response to diuretic therapy. Prospective controlled studies are needed to confirm these findings.

A digital health platform for assisting the diagnosis and monitoring of COVID-19 progression: An adjuvant approach for augmenting the antiviral response and mitigating the immune-mediated target organ damage.

Coronavirus disease 2019 (COVID-19), which is a respiratory illness associated with high mortality, has been classified as a pandemic. The major obstacles for the clinicians to contain the disease are limited information availability, difficulty in disease diagnosis, predicting disease prognosis, and lack of disease monitoring tools. Additionally, the lack of valid therapies has further contributed to the difficulties in containing the pandemic. Recent studies have reported that the dysregulation of the immune system leads to an ineffective antiviral response and promotes pathological immune response, which manifests as ARDS, myocarditis, and hepatitis. In this study, a novel platform has been described for disseminating information to physicians for the diagnosis and monitoring of patients with COVID-19. An adjuvant approach using compounds that can potentiate antiviral immune response and mitigate COVID-19-induced immune-mediated target organ damage has been presented. A prolonged beneficial effect is achieved by implementing algorithm-based individualized variability measures in the treatment regimen.

The patient experience with DSM-5-defined binge eating disorder: characteristics, barriers to treatment, and implications for primary care physicians.

BACKGROUND: Binge eating disorder (BED) is now a formal diagnosis in the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5). However, post-DSM-5 patient profiles and viewpoints on BED diagnosis and treatment remain unclear. This study used a focus group methodology to examine demographic and clinical characteristics, as well as perceptions of diagnosis and treatment from patients with BED symptoms who were either formally diagnosed with BED or undiagnosed. METHODS: Binge eating disorder-diagnosed individuals (n = 11) or those meeting the DSM-5 BED diagnostic criteria but were undiagnosed (n = 14) participated in 6 semistructured focus groups conducted by trained staff at 3 geographic locations in the United States. Patients completed a series of demographic and clinical measures and then engaged in a moderated discussion focused on identifying factors associated with their experiences with BED. RESULTS: Sixty percent of the patients were female, 48% were white and 40% were black, and 76% were employed. The diagnosed group had a slightly higher socioeconomic status; undiagnosed patients had a higher average body mass index. In the overall sample, comorbid anxiety (40%) and depression (40%) were the most common psychiatric comorbidities. Even in the diagnosed group, only half of the patients (54.5%) became aware of BED through their health care provider (HCP; n = 6). Patients perceived that HCPs were focused more on physical ailments, were judgmental about weight, and were unable to distinguish BED from obesity. They also expressed a desire for safe, nonjudgmental interactions with HCPs. CONCLUSIONS: Education and income may be factors affecting access to care and BED diagnosis. Both patient groups reported considerable psychopathology and medical comorbidities. Moreover, the patient groups perceived HCPs as both having inadequate understanding of BED and providing insensitive and ineffective communication regarding eating behaviors. The study findings in diagnosed and undiagnosed patient groups underscore the need for greater BED disease state awareness and patient sensitivity among HCPs.

Low-dose aspirin prophylaxis and risk of intracranial hemorrhage in patients older than 60 years of age with mild or moderate head injury: a prospective study.

OBJECT: The goal of this paper was to investigate a possible relationship between the consumption of low-dose aspirin (LDA) and traumatic intracranial hemorrhage in an attempt to determine whether older patients receiving prophylactic LDA require special treatment following an incidence of mild-to-moderate head trauma. METHODS: Two hundred thirty-one patients older than 60 years of age, who arrived at the emergency department with a mild or moderate head injury (Glasgow Coma Scale [GCS] Scores 13-15 and 9-12, respectively), were included in the study. One hundred ten patients were receiving prophylactic LDA (100 mg/day) and these formed the aspirin-treated group. One hundred twenty-one patients were receiving no aspirin, and these formed the control group. There was no statistically significant difference between the two groups with respect to age, sex, mechanism of trauma, or GCS score on arrival at the emergency department. Most of the patients sustained the head injury from falls (88.2% of patients in the aspirin-treated group and 85.1% of patients in the control group), and had external signs of head trauma such as bruising or scalp laceration (80.9% of patients in the aspirin-treated group and 86.8% of patients in the control group). All patients underwent similar neurological examinations and computerized tomography (CT) scanning of the head. The CT scans revealed evidence of traumatic intracranial hemorrhage in 27 (24.5%) patients in the aspirin-treated group and in 31 patients (25.6%) in the control group. Surgical intervention was required for five patients in each group (4.5% of patients in the aspirin-treated group and 4.1% of patients in the control group). A surprising number of the patients who arrived with GCS Score 15 were found to have traumatic intracranial hemorrhage, as revealed by CT scanning (11.5% of patients in the aspirin-treated group and 16.5% of patients in the control group). Surgery, however, was not necessary for any of these patients. CONCLUSIONS: There was no statistically significant difference in the frequency or types of traumatic intracranial hemorrhage between patients who had received aspirin prophylaxis and those who had not. The authors conclude that LDA does not increase surgically relevant parenchymal or meningeal bleeding following moderate and minor head injury in patients older than 60 years of age.