Randomized controlled trials and real-world data: differences and similarities to untangle literature data

Volatile Anesthetic Use Versus Total Intravenous Anesthesia for Patients Undergoing Heart Valve Surgery: A Nationwide Population-Based Study

BACKGROUND

Many studies have suggested that volatile anesthetic use may improve postoperative outcomes after cardiac surgery compared to total intravenous anesthesia (TIVA) owing to its potential cardioprotective effect. However, the results were inconclusive, and few studies have included patients undergoing heart valve surgery.

METHODS

This nationwide population-based study included all adult patients who underwent heart valve surgery between 2010 and 2019 in Korea based on data from a health insurance claim database. Patients were divided based on the use of volatile anesthetics: the volatile anesthetics or TIVA groups. After stabilized inverse probability of treatment weighting (IPTW), the association between the use of volatile anesthetics and the risk of cumulative 1-year all-cause mortality (the primary outcome) and cumulative long-term (beyond 1 year) mortality were assessed using Cox regression analysis.

RESULTS

Of the 30,755 patients included in this study, the overall incidence of 1-year mortality was 8.5%. After stabilized IPTW, the risk of cumulative 1-year mortality did not differ in the volatile anesthetics group compared to the TIVA group (hazard ratio, 0.98; 95% confidence interval, 0.90-1.07; P = .602), nor did the risk of cumulative long-term mortality (hazard ratio, 0.98; 95% confidence interval, 0.93-1.04; P = .579) at a median (interquartile range) follow-up duration of 4.8 (2.6-7.6) years.

CONCLUSIONS

Compared with TIVA, volatile anesthetic use was not associated with reduced postoperative mortality risk in patients undergoing heart valve surgery. Our findings indicate that the use of volatile anesthetics does not have a significant impact on mortality after heart valve surgery. Therefore, the choice of anesthesia type can be based on the anesthesiologists' or institutional preference and experience.

Lung tumor discrimination by deep neural network model CanDo via DNA methylation in bronchial lavage

Bronchoscopic-assisted discrimination of lung tumors presents challenges, especially in cases with contraindications or inaccessible lesions. Through meta-analysis and validation using the HumanMethylation450 database, this study identified methylation markers for molecular discrimination in lung tumors and designed a sequencing panel. DNA samples from 118 bronchial washing fluid (BWF) specimens underwent enrichment via multiplex PCR before targeted methylation sequencing. The Recursive Feature Elimination Cross-Validation and deep neural network algorithm established the CanDo classification model, which incorporated 11 methylation features (including 8 specific to the TBR1 gene), demonstrating a sensitivity of 98.6% and specificity of 97.8%. In contrast, bronchoscopic rapid on-site evaluation (bronchoscopic-ROSE) had lower sensitivity (87.7%) and specificity (80%). Further validation in 33 individuals confirmed CanDo's discriminatory potential, particularly in challenging cases for bronchoscopic-ROSE due to pathological complexity. CanDo serves as a valuable complement to bronchoscopy for the discriminatory diagnosis and stratified management of lung tumors utilizing BWF specimens.

Research protocol for an observational health data analysis to assess the applicability of randomized controlled trials focusing on newly diagnosed metastatic prostate cancer using real-world data: PIONEER IMI's "big data for better outcomes" program

Background

Metastatic prostate cancer (PCa) constitutes ~5% of all new PCa diagnoses in Western countries. For most cases, primary consideration should be given to systemic therapies as the first-line approach based on evidence from randomized controlled trials (RCTs). Despite the importance of RCTs as the pinnacle of evidence in modern medicine, concerns have been raised about their applicability to real-life scenarios. These trials often feature participants who are younger with better performance statuses and prognoses compared to their real-world counterparts. The PIONEER project falls under the Innovative Medicine Initiative's (IMI) "Big Data for Better Outcomes" initiative, aimed at revolutionizing PCa care in Europe. The central focus lies in improving cancer-related outcomes, enhancing health system efficiency, and elevating the quality of health and social care. This study endeavours to evaluate the generalizability of RCT findings concerning newly diagnosed metastatic PCa.

Methods

A systematic review of the literature will be conducted to compile patient characteristics from RCTs addressing this subject within the past decade. To create a real-world benchmark, patients with recently diagnosed metastatic PCa from a network of population-based databases will serve as a comparison group. The objective is to assess the applicability of RCT results in two ways. First, a comparison will be made between the characteristics of patients with newly diagnosed metastatic PCa enroled in RCTs and those with the same condition included in our databases which might represent the real-world setting. Second, an evaluation will be undertaken to determine the proportion of real-world patients with newly diagnosed metastatic PCa who meet the criteria for RCT enrolment. This study will rely on extensive observational data, primarily sourced from population-based registries, electronic health records, and insurance claims data. The study cohort is established upon routinely gathered healthcare data, meticulously mapped to the Observational Medical Outcomes Partnership Common Data Model.

Causal effect of physical activity and sedentary behavior on the risk of alcohol dependence: A bidirectional two-sample Mendelian randomization study

BACKGROUND

Alcohol dependence, influenced by physical activity (PA) and sedentary behavior, lacks clear causal clarity. This study aims to clarify causal relationships by estimating these effects using bidirectional two-sample Mendelian randomization (MR).

METHODS

A bidirectional multivariable two-sample MR framework was employed to assess the causal effects of PA and sedentary behavior on alcohol dependence. Summarized genetic association data were analyzed for four PA-related activity patterns-moderate to vigorous physical activity (MVPA), vigorous physical activity (VPA), accelerometer-based physical activity with average acceleration (AccAve), and accelerometer-based physical activity with accelerations greater than 425 milli-gravities (Acc425)-and three sedentary behavior patterns-sedentary, TV watching, and computer use. The study was expanded to include the examination of the relationship between sedentary behavior or PA and general drinking behavior, quantified as drinks per week (DPW). We obtained summarized data on genetic associations with four PA related activity patterns (MVPA, VPA, AccAve and Acc425) and three sedentary behavior related behavior patterns (sedentary, TV watching and computer use).

RESULTS

MR analysis found AccAve inversely associated with alcohol dependence risk (OR: 0.87; 95% CI: 0.80-0.95; p < 0.001), MVPA positively associated (OR: 2.86; 95%CI: 1.45-5.66; p = 0.002). For sedentary behavior and alcohol dependence, only TV watching was positively associated with the risk of alcohol dependence (OR: 1.43; 95%CI: 1.09-1.88; p = 0.009). No causal links found for other physical or sedentary activities. Reverse analysis and sensitivity tests showed consistent findings without pleiotropy or heterogeneity. Multivariate MR analyses indicated that while MVPA, AccAve and TV watching are independently associated with alcohol dependence, DPW did not show a significant causal relationship.

CONCLUSIONS

Our results suggest that AccAve is considered a protective factor against alcohol dependence, while MVPA and TV watching are considered risk factors for alcohol dependence. Conversely, alcohol dependence serves as a protective factor against TV watching. Only TV watching and alcohol dependence might mutually have a significant causal effect on each other.

Clinical Characterization of Patients Diagnosed with Prostate Cancer and Undergoing Conservative Management: A PIONEER Analysis Based on Big Data

BACKGROUND

Conservative management is an option for prostate cancer (PCa) patients either with the objective of delaying or even avoiding curative therapy, or to wait until palliative treatment is needed. PIONEER, funded by the European Commission Innovative Medicines Initiative, aims at improving PCa care across Europe through the application of big data analytics.

OBJECTIVE

To describe the clinical characteristics and long-term outcomes of PCa patients on conservative management by using an international large network of real-world data.

DESIGN, SETTING, AND PARTICIPANTS

From an initial cohort of >100 000 000 adult individuals included in eight databases evaluated during a virtual study-a-thon hosted by PIONEER, we identified newly diagnosed PCa cases (n = 527 311). Among those, we selected patients who did not receive curative or palliative treatment within 6 mo from diagnosis (n = 123 146).

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Patient and disease characteristics were reported. The number of patients who experienced the main study outcomes was quantified for each stratum and the overall cohort. Kaplan-Meier analyses were used to estimate the distribution of time to event data.

RESULTS AND LIMITATIONS

The most common comorbidities were hypertension (35-73%), obesity (9.2-54%), and type 2 diabetes (11-28%). The rate of PCa-related symptomatic progression ranged between 2.6% and 6.2%. Hospitalization (12-25%) and emergency department visits (10-14%) were common events during the 1st year of follow-up. The probability of being free from both palliative and curative treatments decreased during follow-up. Limitations include a lack of information on patients and disease characteristics and on treatment intent.

CONCLUSIONS

Our results allow us to better understand the current landscape of patients with PCa managed with conservative treatment. PIONEER offers a unique opportunity to characterize the baseline features and outcomes of PCa patients managed conservatively using real-world data.

PATIENT SUMMARY

Up to 25% of men with prostate cancer (PCa) managed conservatively experienced hospitalization and emergency department visits within the 1st year after diagnosis; 6% experienced PCa-related symptoms. The probability of receiving therapies for PCa decreased according to time elapsed after the diagnosis.

Feasibility and Short-Term Outcomes in Liver-First Approach: A Spanish Snapshot Study (the RENACI Project)

(1) Background: The liver-first approach may be indicated for colorectal cancer patients with synchronous liver metastases to whom preoperative chemotherapy opens a potential window in which liver resection may be undertaken. This study aims to present the data of feasibility and short-term outcomes in the liver-first approach. (2) Methods: A prospective observational study was performed in Spanish hospitals that had a medium/high-volume of HPB surgeries from 1 June 2019 to 31 August 2020. (3) Results: In total, 40 hospitals participated, including a total of 2288 hepatectomies, 1350 for colorectal liver metastases, 150 of them (11.1%) using the liver-first approach, 63 (42.0%) in hospitals performing <50 hepatectomies/year. The proportion of patients as ASA III was significantly higher in centers performing ≥50 hepatectomies/year (difference: 18.9%; p = 0.0213). In 81.1% of the cases, the primary tumor was in the rectum or sigmoid colon. In total, 40% of the patients underwent major hepatectomies. The surgical approach was open surgery in 87 (58.0%) patients. Resection margins were R0 in 78.5% of the patients. In total, 40 (26.7%) patients had complications after the liver resection and 36 (27.3%) had complications after the primary resection. One-hundred and thirty-two (89.3%) patients completed the therapeutic regime. (4) Conclusions: There were no differences in the surgical outcomes between the centers performing <50 and ≥50 hepatectomies/year. Further analysis evaluating factors associated with clinical outcomes and determining the best candidates for this approach will be subsequently conducted.

Body mass index, frailty, and outcomes in heart failure with preserved ejection fraction

AIMS

Relationship between body mass index (BMI), frailty, and clinical adverse events remains unclear in patients with heart failure (HF) with preserved ejection fraction (HFpEF) in different patient populations. We aimed to compare the association of BMI, frailty, and clinical adverse events between a US cohort from the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) study and a Chinese cohort from the Heart Failure Registry of Patient Outcomes (HERO) study.

METHODS AND RESULTS

We used data of 1715 participants enrolled from America in the TOPCAT study and 1487 patients with HFpEF in the Chinese registry study, the HERO. We evaluated the relationship between BMI and frailty using multivariate restricted cubic spline logistic regression. Association between frailty and BMI categories and primary outcomes including HF hospitalization, aborted sudden death, and cardiovascular death, all-cause mortality, and HF hospitalization were analysed by Cox proportional hazards models. The patients' mean age was 72 ± 11 years for both study populations, with 50% and 46% female for the TOPCAT study and the HERO study, respectively. Patients in the TOPCAT study had a higher mean BMI (33.9 vs. 24 kg/m2), with 72.3% vs. 52.9% defined as moderately to severely frail (frailty index > 0.3). In the TOPCAT study, risk of frailty rose as BMI increased, but not in the HERO study. Patients with frailty were at significant higher risk for the primary composite outcomes [hazard ratio (HR) 1.84 (95% confidence interval: 1.46-2.32)], all-cause mortality [HR 1.73 (1.34-2.25)], and HF hospitalization [HR 1.83 (1.40-2.40)] in the TOPCAT study. The corresponding numbers in the HERO study were 1.26 (1.01-1.57), 2.21 (1.45-3.35), and 1.15 (0.81-1.37), respectively. The association of frailty with clinical outcomes did not vary with BMI categories in the two studies.

CONCLUSIONS

BMI distribution and association between BMI and frailty risk were different between the two study populations. Frailty was associated with clinical adverse events and this association was consistent across different BMI categories in both studies.

Effectiveness of Tofacitinib in Patients Initiating Therapy for Psoriatic Arthritis: Results from the CorEvitas Psoriatic Arthritis/Spondyloarthritis Registry

INTRODUCTION

Randomized controlled trials have demonstrated tofacitinib efficacy for psoriatic arthritis (PsA); however, real-world effectiveness data are limited. This real-world analysis assessed baseline demographics/disease characteristics and tofacitinib effectiveness in patients with PsA in the CorEvitas PsA/Spondyloarthritis Registry.

METHODS

This study (NCT05195814) included patients with PsA initiating tofacitinib from December 2017-December 2021, as monotherapy or with oral small molecules (methotrexate/leflunomide/sulfasalazine/apremilast), pre-existing use, or initiated concurrently.

OUTCOMES

mean change from baseline in disease activity/patient-reported outcomes, proportion of patients achieving low disease activity (LDA)/remission at 6 ± 3 months, and discontinuation rates.

RESULTS

Of 222 patients with PsA who initiated tofacitinib (60.8% as monotherapy), 123 patients had 6 ± 3 months of follow-up. At initiation, 59.7% were female, 92.3% were White, mean age was 56.3 years, PsA duration since diagnosis was 8.2 years, and 25.7% were biologic disease-modifying antirheumatic drug (bDMARD)-naïve. Improvements to 6 ± 3 months were observed with tofacitinib for Clinical Disease Activity Index for PsA (cDAPSA), DAPSA, PsA Disease Activity Score (PASDAS), Clinical Disease Activity Index, body surface area (BSA), tender/swollen joint count, patient fatigue, pain, Patient Global Skin Assessment, and Health Assessment Questionnaire-Disability Index. At 6 ± 3 months, 25.0%/7.8% of patients treated with tofacitinib achieved cDAPSA-defined LDA/remission, 18.2% achieved minimal disease activity, 30.8% had PASDAS ≤ 3.2, 42.9%/29.4% had resolved enthesitis/dactylitis, and 22.5% achieved BSA = 0%. Tofacitinib discontinuation occurred in 51.2% of patients (51.6% of monotherapy initiators) at/prior to 6 ± 3 months (27.6%/23.6%), 57.1% of whom switched to tumor necrosis factor/interleukin-17 inhibitors. Reasons for discontinuation were not reported in 85.3%/79.3% of patients who discontinued at/prior to 6 ± 3 months.

CONCLUSIONS

This real-world US cohort analysis described patients with PsA newly initiating tofacitinib; most were bDMARD-experienced or receiving monotherapy treatment. In patients who remained on therapy (48.8%), tofacitinib was effective across multiple PsA domains at 6 ± 3 months. Limitations included small patient numbers at follow-up and potential selection bias.

TRIAL REGISTRATION

ClinicalTrials.gov identifier, NCT05195814.

Quality reporting of randomized controlled trials on SGLT2 inhibitors for heart failure: a comprehensive assessment

Randomised controlled trials (RCTs) provide clinicians with the best evidence of the effectiveness of an intervention, and complete and transparent trial reports help to critically assess and use trial results. The objective of our study was to assess the quality of reporting in RCTs of sodium-glucose co-transporter protein 2 (SGLT2) inhibitors for heart failure (HF) and identify factors associated with improved reporting quality. Two researchers conducted a comprehensive search in four databases (PubMed, Web of Science, EMBASE, and Cochrane). The quality of each report was assessed using a 25-point Overall Quality Score (OQS) based on the guidelines provided in the 2010 Consolidated Standards for Reporting of Trials (CONSORT) statement. We included a total of 58 relevant RCTs. The median OQS in the 2010 CONSORT statement was 15 (range 7.5-24). The missing items were primarily found in the 'Methods' and 'Results' sections of the 2010 CONSORT statement. Multivariate regression modeling revealed that a more recent publication year, high impact factor, and large sample size were significant predictors of OQS improvement. The findings suggest that the overall quality of reported RCTs of SGLT2 inhibitors in HF is unsatisfactory, which reduces their potential usefulness.

Use of Healthcare Claims Data to Generate Real-World Evidence on Patients With Drug-Resistant Epilepsy: Practical Considerations for Research

Objectives: Regulatory bodies, health technology assessment agencies, payers, physicians, and other decision-makers increasingly recognize the importance of real-world evidence (RWE) to provide important and relevant insights on treatment patterns, burden/cost of illness, product safety, and long-term and comparative effectiveness. However, RWE generation requires a careful approach to ensure rigorous analysis and interpretation. There are limited examples of comprehensive methodology for the generation of RWE on patients who have undergone neuromodulation for drug-resistant epilepsy (DRE). This is likely due, at least in part, to the many challenges inherent in using real-world data to define DRE, neuromodulation (including type implanted), and related outcomes of interest. We sought to provide recommendations to enable generation of robust RWE that can increase knowledge of "real-world" patients with DRE and help inform the difficult decisions regarding treatment choices and reimbursement for this particularly vulnerable population. Methods: We drew upon our collective decades of experience in RWE generation and relevant disciplines (epidemiology, health economics, and biostatistics) to describe challenges inherent to this therapeutic area and to provide potential solutions thereto within healthcare claims databases. Several examples were provided from our experiences in DRE to further illustrate our recommendations for generation of robust RWE in this therapeutic area. Results: Our recommendations focus on considerations for the selection of an appropriate data source, development of a study timeline, exposure allotment (specifically, neuromodulation implantation for patients with DRE), and ascertainment of relevant outcomes. Conclusions: The need for RWE to inform healthcare decisions has never been greater and continues to grow in importance to regulators, payers, physicians, and other key stakeholders. However, as real-world data sources used to generate RWE are typically generated for reasons other than research, rigorous methodology is required to minimize bias and fully unlock their value.

Real-world drug utilization and treatment patterns in patients with tenosynovial giant cell tumors in the USA

Aim: Real-world treatment patterns in tenosynovial giant cell tumor (TGCT) patients remain unknown. Pexidartinib is the only US FDA-approved treatment for TGCT associated with severe morbidity or functional limitations and not amenable to improvement with surgery. Objective: To characterize drug utilization and treatment patterns in TGCT patients. Methods: In a retrospective observational study using IQVIA's linked prescription and medical claims databases (2018-2021), TGCT patients were stratified by their earliest systemic therapy claim (pexidartinib [N = 82] or non-FDA-approved systemic therapy [N = 263]). Results: TGCT patients treated with pexidartinib versus non-FDA-approved systemic therapies were predominantly female (61 vs 50.6%) and their median age was 47 and 54 years, respectively. Pexidartinib-treated patients had the highest 12-month probability of remaining on treatment (54%); 34.1% of pexidartinib users had dose reduction after their first claim. Conclusion: This study provides new insights into the unmet need, utilization and treatment patterns of systemic therapies for the treatment of TGCT patients.

Global HIV Incidence Analysis and Implications for Affordability Using Long-Acting Cabotegravir Versus Continuous and Event-Driven Oral Preexposure Prophylaxis

BACKGROUND

The HIV Prevention Trials Network (HPTN) 083/084 trials showed up to 88% increased efficacy of long-acting cabotegravir (CAB-LA) versus continuous oral tenofovir disoproxil fumarate/emtricitabine (TDF/FTC). However, CAB-LA's high price limits the number of people who can be treated within fixed prevention budgets. Global human immunodeficiency virus (HIV) prevention budgets are highly limited, with TDF/FTC widely available as a low-cost generic. In randomized clinical trials, event-driven TDF/FTC has shown similar preventive efficacy to continuous TDF/FTC.

METHODS

A systematic review of global HIV incidence studies was conducted. Weighted incidence was calculated in each at-risk population. HIV infection rates were evaluated for 5 prevention strategies, with additional HIV testing, education, and service access costs assumed for each ($18 per person per year). Assumed efficacies were 90% (continuous CAB-LA), 60% (continuous TDF/FTC), and 60% (event-driven TDF/FTC). Using weighted incidence and an assumed 100 000 target population, annual HIV infection rates by population were calculated for each prevention strategy.

RESULTS

Ninety-eight studies in 5 230 189 individuals were included. Incidence per 100 person-years ranged from 0.03 (blood donors) to 3.82 (people who inject drugs). Using the number needed to treat to benefit for each strategy, a mean incidence of 2.6 per 100 person-years in at-risk populations, and a 100 000 target population, current-price continuous CAB-LA cost $949 487 per HIV infection successfully prevented, followed by target-price CAB-LA ($11 453), continuous TDF/FTC ($4231), and event-driven TDF/FTC ($1923).

CONCLUSIONS

High prices of CAB-LA limit numbers treatable within fixed budgets. Low-cost event-driven TDF/FTC consistently prevents the most HIV infections within fixed budgets.

Application of eligibility criteria from DAPA-HF, EMPEROR-Reduced, and PARADIGM-HF trials to a population with heart failure with reduced ejection fraction at a specialized cardiology Clinic in Medellin, Colombia: A retrospective cohort study

INTRODUCTION

The evidence supporting pharmacological heart failure treatment relies on randomized clinical trials with stringent inclusion and exclusion criteria.

OBJECTIVES

Assess the eligibility of outpatients with chronic heart failure for the trials DAPA-HF, EMPEROR-reduced, and PARADIGM-HF, while exploring potential differences among study populations.

METHODS

By reviewing medical records, we determined the eligibility rate for each study and evaluated the incidence of heart failure hospitalizations and all-cause mortality during this period.

RESULTS

A total of 446 patients were included in the cohort. Approximately 75% would be ineligible for the trials, mainly because of their comorbidities. Ineligible patients had a higher all-cause mortality, but a similar incidence of hospitalization.

CONCLUSION

Approximately 1 in 4 patients from a heart failure clinic in Medellin, Colombia would meet the eligibility criteria for the DAPA-HF, EMPEROR-reduced, and PARADIGM-HF trials. These findings highlight the need to complement randomized clinical trials with real-world data.

Communication training for general practitioners aimed at improving antibiotic prescribing: a controlled before-after study in multicultural Dutch cities

Introduction

Suboptimal doctor-patient communication drives inappropriate prescribing of antibiotics. We evaluated a communication intervention for general practitioners (GPs) in multicultural Dutch cities to improve antibiotic prescribing for respiratory tract infections (RTI).

Methods

This was a non-randomized controlled before-after study. The study period was pre-intervention November 2019 – April 2020 and post-intervention November 2021 – April 2022. The intervention consisted of a live training (organized between September and November 2021), an E-learning, and patient material on antibiotics and antibiotic resistance in multiple languages. The primary outcome was the absolute number of prescribed antibiotic courses indicated for RTIs per GP; the secondary outcome was all prescribed antibiotics per GP. We compared the post-intervention differences in the mean number of prescribed antibiotics between the intervention (N = 25) and the control group (N = 110) by using an analysis of covariance (ANCOVA) test, while adjusting for the pre-intervention number of prescribed antibiotics. Additionally, intervention GPs rated the training and their knowledge and skills before the intervention and 3 months thereafter.

Results

There was no statistically significant difference in the mean number of prescribed antibiotics for RTI between the intervention and the control group, nor for mean number of overall prescribed antibiotics. The intervention GPs rated the usefulness of the training for daily practice a 7.3 (on a scale from 1–10) and there was a statistically significant difference between pre- and post-intervention on four out of nine items related to knowledge and skills.

Discussion

There was no change in GPs prescription behavior between the intervention and control group. However, GPs found the intervention useful and showed some improvement on self-rated knowledge and communication skills.

Effectiveness of an 11-week exercise intervention for patients with hip or knee osteoarthritis: results of a quasi-experimental pragmatic trial

OBJECTIVE

To assess the effectiveness of exercise and education in addition to standard care (SC) compared to SC alone in patients with hip or knee osteoarthritis (OA) during 24 months follow-up.

DESIGN

We conducted a quasi-experimental pragmatic clinical trial in care centers of a health insurance company. Overall, 1,030 subjects with hip and/or knee OA were included. The intervention group was recruited from clients participating in a hip/knee training (HKT, n = 515) in addition to SC. The control group (CO, n = 515) receiving SC only was recruited from the insurance database. HKT comprised 8 group sessions (1/week) of exercise and education, complemented by a 11-week structured home-exercise program (2/week). Primary endpoints were change of joint-related pain and function (WOMAC Index, score 0-10) after 3 months. Secondary endpoints related to follow-ups at 6, 12 and 24 months. All patient reported outcome measures were analyzed using linear mixed models (LMMs) investigating a time x treatment effect. A multivariable cox proportional hazards regression model was used to identify differences of joint replacement during follow-up between groups.

RESULTS

LMMs revealed statistically significant differences in favor of HKT for the primary outcomes WOMAC pain = 0.47 (CI 0.27-0.66; Effect Size (ES) = 0.22, p < 0.001) and WOMAC function = 0.27 (CI 0.11-0.44; ES = 0.13, p < 0.001). HKT was superior to CO for 6, 12, and 24 months as well (ES < 0.2, p ≤ 0.006). HKT was inferior regarding the first incidence of hip or knee AJR during follow-up in comparison to CO (adjusted hazard ratio, HR = 1.57; CI 1.08-2.30; p = 0.020).

CONCLUSIONS

This trial demonstrated short-, mid- and long-term superiority of exercise versus control. However, differences were smaller than those reported in previous efficacy trials, raising questions regarding clinical importance. Responder analysis will follow to identify possible predictors for patient responsiveness on an individual level. Further studies should investigate the frequency and reasons for joint replacement following exercise therapy.

TRIAL REGISTRATION

German Clinical Trial Register (DRKS00009251). Registered 10 September 2015.

Retention rate of subcutaneous TNF inhibitors in axial spondyloarthritis in a multicentre study from the RIC-FRANCE network

The objectives of our study were to assess retention rate, safety, and predictive factors for retention of subcutaneous (SC) TNF inhibitors (TNFi) (adalimumab (ADA), etanercept (ETN), golimumab (GOL), and certolizumab pegol (CZP)) in axial spondyloarthritis (axSpA) depending on the line of treatment in real-life conditions. A multicentre retrospective observational study was conducted including 552 patients fulfilling the ASAS criteria for axSpA followed in the RIC-France register who began SC-TNFi between 01/01/13 and 08/31/2018 for a total of 824 prescriptions. Taking all lines of treatment into account, GOL had a significantly higher retention rate compared with ADA, ETN, and CZP with a mean retention length of 59 months. As first-line bDMARDs, GOL had a significantly higher retention rate compared with ADA and ETN. ETN had the best retention rate when prescribed as at least 3rd bDMARD. Taking all lines of treatment into account, female sex, peripheral disease, BASDAI at initiation, and line of treatment were predictive factors for treatment cessation. Primary inefficiency was the most frequent reason for treatment cessation. In conclusion, GOL showed the highest retention rate in axSpA. Male sex, absence of peripheral disease, and early line of prescription were associated with better SC-TNFi retention in axSpA.

Integration and impact of pharmacists in general practice internationally: A rapid review

OBJECTIVE

English general practices have been facing ongoing pressures, arising from complicated health care needs and the recent pandemic. To overcome these pressures and reduce the workload of general practitioners, there have been extensive attempts to integrate pharmacists into general practices. A number of literature reviews, often systematic, have partially explored the topic of general practice-based pharmacists (GPBPs) internationally. Our aim was to further explore the employment/integration models of GPBPs and their actual activities and impact, concepts that have not been thoroughly investigated by previous reviews.

METHODS

Two databases were searched from inception to June 2021 for studies published in the English language. Results were independently screened by two reviewers to establish eligibility for inclusion. Original research studies, or protocols where results had not been released at the time of search, that reported on services provided by pharmacists with some sort of integration into general practices were included. The studies were analysed using narrative synthesis.

RESULTS

Searches identified 3206 studies in total, of which 75 met the inclusion criteria. The included studies were highly heterogeneous in terms of participants involved and methodologies employed. Integration of pharmacists into general practices has occurred in several countries, with funds originating from multiple sources. Several employment models for GPBPs were described - for example, part-time and full-time work and/or coverage of multiple or single practices. GPBP activities, with some exceptions, were comparable between different countries, with medication reviews being the most common task globally. GPBP impact was identified through both observational and/or interventional research methods, by pursuing a large variety of measures (e.g. activity volume, contact with patients, perceptions/experiences, and patient outcomes). Independent, quantifiable outcomes from GPBP activities were all positive but were of varying statistical significance.

CONCLUSIONS

Our findings suggest that GPBP services can lead to positive, quantifiable outcomes, mainly in relation to medication use. This shows the usefulness of GPBP services. The findings of this review can help policy makers decide how best to implement and fund GPBP services, and how to identify and measure GPBP impact.

Interplay between age and disease-modifying treatments in influencing infection risk in multiple sclerosis

BACKGROUND

Disease-modifying treatments (DMTs) can increase the risk of infections in multiple sclerosis (MS). Aged individuals are usually excluded from clinical trials, and there is uncertainty regarding safety of immunosuppressive DMTs in these patients.

OBJECTIVE

To investigate the association of DMTs, ageing and other clinical variables with risk of infections in MS patients.

METHODS

Prospective single-centre observational study collecting information on occurrence, type and grade of infections in patients followed at the MS centre, Lugano (Switzerland). Associations with infection risk were tested using multivariable Poisson and Cox regressions.

RESULTS

A total of 503 patients were included (injectables/untreated, n = 127; orals, n = 139; monoclonal antibodies (MAB), n = 237) and 326 infections recorded over 12.6 (11.6-14.0) months. As compared to injectable DMTs/no treatment, MAB and oral DMTs were positively associated with infection incidence (IRR = 2.32, 95% confidence interval (CI) = 1.39-3.89, p = 0.001; IRR = 2.04, 95% CI = 1.19-3.49, p = 0.009, respectively). After excluding COVID-19, the effect of MAB was stronger among patients <50 years (IRR = 5.90, 95% CI = 2.80-12.45, p < 0.001) than >50 years (IRR = 1.95, 95% CI = 0.91-4.15, p = 0.084). Higher disability and male sex were the only variables associated with severe infections.

CONCLUSION

Treatment with MAB and oral DMTs is associated with higher incidence of infections, with a stronger effect in young MS patients. Disability appears the main predictor of severe infections regardless of treatment.

Cardiovascular Insights for the Appropriate Management of Chronic Venous Disease: A Narrative Review of Implications for the Use of Venoactive Drugs

Evidence suggests that chronic venous disease (CVD) may be a cardiovascular disorder, as patients with CVD are prone to developing arterial (atherosclerosis) and venous (thromboembolism) diseases. This may be partly explained by shared risk factors. Thus, patients with CVD or cardiovascular disease require careful history-taking and physical assessment to identify coexisting pathologies and risk factors. This article summarises a symposium at the XIX World Congress of the International Union of Phlebology held in Istanbul, Turkey, in September 2022. Common pathophysiological features of CVD and cardiovascular disease are endothelial injury, hypercoagulability and systemic inflammation. In CVD, inflammation primarily affects the microcirculation, with changes in capillary permeability, vein wall and valve remodelling and increase in oxidative stress. Once patients develop symptoms/signs of CVD, they tend to reduce their physical activity, which may contribute to increased risk of cardiovascular disease. Data show that the presence of CVD is associated with an increased risk of cardiovascular disease, including peripheral arterial disease and heart failure (HF), and the risk of adverse cardiovascular events increases with CVD severity. In addition, patients with cardiovascular disease, particularly those with HF, are at increased risk of venous thromboembolism (VTE) and should be assessed for VTE risk if they are hospitalised with cardiovascular disease. Therefore, CVD management must include a multi-specialty approach to assess risk factors associated with both the venous and arterial systems. Ideally, treatment should focus on the resolution of endothelial inflammation to control both CVD and cardiovascular disease. International guidelines recommend various conservative treatments, including venoactive drugs (VADs), to improve the symptoms/signs of CVD. Micronized purified flavonoid fraction (MPFF) is a VAD, with high-quality evidence supporting its use in relieving symptoms/signs of CVD and improving quality of life. Moreover, in large-scale observational studies, MPFF has shown superior effectiveness in real-world populations compared with other VADs. Video Abstract. (MP4 97173 kb).

Integration of Person-Centered Narratives Into the Electronic Health Record

BACKGROUND

Care delivery that is not person-centered has been called discordant care . There has been a shift to incorporate more of a person's narrative into their individual healthcare treatment plan to reduce discordant care. Aligning with this shift in healthcare delivery, we developed a person-centered narrative intervention (PCNI) to address existing gaps in delivery of person-centered care.

OBJECTIVES

This study aimed to evaluate the feasibility of conducting a randomized study and describe the outcomes of PCNI to usual care on the following person (patient)-reported outcomes: perceptions of the quality of communication with their nurses and their psychosocial and existential well-being.

METHODS

This study's design was an Obesity-Related Behavioral Intervention Trials model Phase II proof-of-concept randomized study. The participants were people admitted to an acute care hospital diagnosed with heart failure and/or end-stage renal disease.

RESULTS

Despite COVID-19 challenges, the PCNI was feasible in an acute care setting; it showed a moderate positive difference between conditions in the person's perception of their quality of communication and a small positive difference in their perception of feeling heard and understood. For our secondary outcomes of anxiety, depression, and psychosocial illness effect, there were small or no effects in the acute care setting.

DISCUSSION

Using a person-centered narrative, such as the PCNI, can help inform delivery of care that incorporates a person's (patient's) beliefs, values, and preferences into their healthcare. This study used a pragmatic approach to evaluate the PCNI in real time in an acute care setting to assess patient-reported outcomes. These positive results in a small sample indicate the need for continued testing of the PCNI. These promising effects require further testing in a Phase III efficacy study within a larger randomized controlled clinical trial.

Health-related quality of life in patients accessing medicinal cannabis in Australia: The QUEST initiative results of a 3-month follow-up observational study

AIMS

Patients with chronic health conditions not responding to conventional treatment can access medicinal cannabis (MC) prescriptions from clinicians in Australia. We aimed to assess overall health-related quality of life (HRQL), pain, fatigue, sleep, anxiety, and depression in a large real-world sample of patients accessing prescribed medicinal cannabis. We hypothesized that all patient-reported outcomes (PROs) would improve from baseline to 3-months.

METHODS

The QUEST Initiative is a large prospective multicenter study of patients with any chronic health condition newly prescribed medicinal cannabis between November 2020 and December 2021. Eligible patients were identified by 120 clinicians at medical centers across six Australian states. Consenting participants completed the EuroQol Group EQ-5D-5L health status questionnaire; European Organization for Research & Treatment of Cancer Quality of Life questionnaire (QLQ-C30); Patient-Reported Outcomes Measurement Information System (PROMIS) Short Forms in Fatigue and Sleep Disturbance, and the Depression Anxiety Stress Scale (DASS-21) before starting therapy, at 2-weeks titration, then monthly for 3-months.

RESULTS

Of the 2762 consenting participants, 2327 completed baseline and at least one follow-up questionnaire. Ages ranged between 18-97 years (mean 51y; SD = 15.4), 62.8% were female. The most commonly treated conditions were chronic pain (n = 1598/2327; 68.7%), insomnia (n = 534/2327; 22.9%), generalized anxiety (n = 508/2327; 21.5%), and mixed anxiety and depression (n = 259/2327; 11%). Across the whole cohort both EQ-5D-5L utility scores and QLQ-C30 summary scores showed clinically meaningful improvement in HRQL from baseline to mean follow-up with d = 0.54 (95%CI:0.47 to 0.59) and d = 0.64 (95%CI:0.58 to 0.70) respectively; and clinically meaningful improvement in fatigue (d = 0.54; 95%CI:0.48 to 0.59). There was clinically meaningful reduction of pain for those with chronic pain (d = 0.65; 95%CI:0.57 to 0.72); significant improvements for those with moderate to extremely severe anxiety (X2 = 383; df = 4; p<0.001) and depression (X2 = 395; df = 4; p<0.001); and no changes in sleep disturbance.

CONCLUSIONS

We observed statistically significant, clinically meaningful improvements in overall HRQL and fatigue over the first 3-months in patients with chronic health conditions accessing prescribed medical cannabis. Anxiety, depression, and pain also improved over time, particularly for those with corresponding health conditions. The study continues to follow-up patients until 12-months to determine whether improvements in PROs are maintained long-term.

TRAIL REGISTRATION

Study registration - Australian New Zealand Clinical Trials Registry: ACTRN12621000063819. https://www.australianclinicaltrials.gov.au/anzctr/trial/ACTRN12621000063819.

RoBANS 2: A Revised Risk of Bias Assessment Tool for Nonrandomized Studies of Interventions

Assessment of the risk of bias is an essential component of any systematic review. This is true for both nonrandomized studies and randomized trials, which are the main study designs of systematic reviews. The Risk of Bias Assessment Tool for Nonrandomized Studies (RoBANS) was developed in 2013 and has gained wide usage as a risk-of-bias assessment tool for nonrandomized studies. Four risk-of-bias assessment experts revised it by reviewing existing assessment tools and user surveys. The main modifications included additional domains of selection and detection bias susceptible to nonrandomized studies of interventions, a more detailed consideration of the comparability of participants, and more reliable and valid outcome measurements. A psychometric assessment of the revised RoBANS (RoBANS 2) revealed acceptable inter-rater reliability (weighted kappa, 0.25 to 0.49) and construct validity in which intervention effects of studies with an unclear or high risk of bias were overestimated. The RoBANS 2 has acceptable feasibility, fair-to-moderate reliability, and construct validity. It provides a comprehensive framework for allowing authors to assess and understand the plausible risk of bias in nonrandomized studies of interventions.

Epidemiology and clinical characteristics of interstitial lung disease in patients with rheumatoid arthritis from the JointMan database

Interstitial lung disease (ILD) is a progressive fibrotic disease associated with rheumatoid arthritis (RA); real-world data for evaluating RA-associated ILD (RA-ILD) are limited. We evaluated prevalence, time to onset, clinical characteristics and prognostic factors in patients diagnosed with RA (n = 8963) in the Discus Analytics JointMan database (2009-2019) with and without ILD. ILD prevalence was 4.1% (95% confidence interval 3.7-4.5); > 90% had an ILD diagnosis after RA diagnosis (mean time to onset 3.3 years). At baseline, a higher proportion of patients with RA-ILD were older (> 65 years), male, with history of chronic obstructive pulmonary disease (COPD) compared with patients in the RA cohort. Patients in the RA-ILD cohort were likely to have more severe RA characteristics and joint evaluation compared with patients without ILD, at baseline and before/after ILD diagnosis. In this large, real-world database patients with (vs without) ILD had a higher burden of RA characteristics. Previously established risk factors for RA-ILD were confirmed (age, baseline COPD, anti-cyclic citrullinated peptide positivity, C-reactive protein, Clinical Disease Activity Index score); thus, recognition of these factors and tracking routine disease activity metrics may help identify patients at higher risk of RA complications and lead to improved diagnosis and earlier treatment.

Real-World User and Clinician Perspective and Experience with MiniMed™ 780G Advanced Hybrid Closed Loop System

INTRODUCTION

The advanced hybrid closed loop (AHCL) MiniMed™ 780G system changes basal insulin delivery every 5 min and auto bolus in response to sensor glucose values. We assessed the performance of the AHCL system in real-world settings for individuals with type 1 diabetes (T1DM) as well as user and clinician perspectives and satisfaction.

METHODS

We held two peer group discussions: one having adults with T1DM/parents of children and adolescents with T1DM to understand their experiences with the AHCL system and another with healthcare providers (HCPs). Responses from the discussions were analyzed and categorized into themes by two independent researchers, with any inconsistencies resolved by consensus. We also analyzed data from the system uploaded to CareLink personal software. Glycemic outcomes, including time in range (TIR), time below range (TBR), time above range (TAR), mean sensor glucose (SG) levels, glucose management indicator (GMI), sensor use, and percentage of time spent in AHCL, were determined.

RESULTS

The peer group discussions revealed numerous key themes and issues for each group, such as the significance of setting reasonable expectations, carbohydrate counting and bolus dosing, technical difficulties, and overall user experience. The users (n = 25; T1DM; 17 female; age 13.8 ± 7.49 years; A1C 6.54 ± 0.45%; duration of diabetes 6 ± 6.78 years) were very satisfied with the system. Most users experienced consistent blood glucose values with very few hypoglycemic episodes. However, there were a few limitations reported, such as hyperglycemic episodes caused by inaccuracies in carb counting, issues with sensor connectivity, and cannula blockages or kinking for those using insulin Fiasp. Users achieved a mean GMI of 6.4 ± 0.26%, TIR of 83.0 ± 8.12%, TBR (54-70 mg/dL) of 2.0 ± 0.81%, TBR* (< 54 mg/dL) of 0%. All of the users achieved a TIR of > 70%.

CONCLUSION

The use of the AHCL system in T1DM resulted in robust glycemic control, minimizing hypoglycemia. Providing training to both users and HCPs can help them use the system effectively.

Application of Traditional Vaccine Development Strategies to SARS-CoV-2

Over the past 150 years, vaccines have revolutionized the relationship between people and disease. During the COVID-19 pandemic, technologies such as mRNA vaccines have received attention due to their novelty and successes. However, more traditional vaccine development platforms have also yielded important tools in the worldwide fight against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). A variety of approaches have been used to develop COVID-19 vaccines that are now authorized for use in countries around the world. In this review, we highlight strategies that focus on the viral capsid and outwards, rather than on the nucleic acids inside. These approaches fall into two broad categories: whole-virus vaccines and subunit vaccines. Whole-virus vaccines use the virus itself, in either an inactivated or an attenuated state. Subunit vaccines contain instead an isolated, immunogenic component of the virus. Here, we highlight vaccine candidates that apply these approaches against SARS-CoV-2 in different ways. In a companion article (H. M. Rando, R. Lordan, L. Kolla, E. Sell, et al., mSystems 8:e00928-22, 2023, https://doi.org/10.1128/mSystems.00928-22), we review the more recent and novel development of nucleic acid-based vaccine technologies. We further consider the role that these COVID-19 vaccine development programs have played in prophylaxis at the global scale. Well-established vaccine technologies have proved especially important to making vaccines accessible in low- and middle-income countries. Vaccine development programs that use established platforms have been undertaken in a much wider range of countries than those using nucleic acid-based technologies, which have been led by wealthy Western countries. Therefore, these vaccine platforms, though less novel from a biotechnological standpoint, have proven to be extremely important to the management of SARS-CoV-2. IMPORTANCE The development, production, and distribution of vaccines is imperative to saving lives, preventing illness, and reducing the economic and social burdens caused by the COVID-19 pandemic. Vaccines that use cutting-edge biotechnology have played an important role in mitigating the effects of SARS-CoV-2. However, more traditional methods of vaccine development that were refined throughout the 20th century have been especially critical to increasing vaccine access worldwide. Effective deployment is necessary to reducing the susceptibility of the world's population, which is especially important in light of emerging variants. In this review, we discuss the safety, immunogenicity, and distribution of vaccines developed using established technologies. In a separate review, we describe the vaccines developed using nucleic acid-based vaccine platforms. From the current literature, it is clear that the well-established vaccine technologies are also highly effective against SARS-CoV-2 and are being used to address the challenges of COVID-19 globally, including in low- and middle-income countries. This worldwide approach is critical for reducing the devastating impact of SARS-CoV-2.

PsABIOnd Study and eDaily Substudy Design: Long-Term Effectiveness and Safety of Guselkumab and IL-17 Inhibitors in Routine Clinical Practice in Patients with Psoriatic Arthritis

INTRODUCTION

Randomised clinical studies in psoriatic arthritis (PsA) do not always reflect patients in routine clinical practice. Large-scale data from routine practice are needed to better understand drug persistence, effectiveness and long-term safety of therapeutic agents.

METHODS

PsABIOnd is an international, prospective, observational study designed to collect long-term routine care data in patients with PsA who receive guselkumab (an interleukin-23 [IL-23] inhibitor) or an interleukin-17 (IL-17) inhibitor. Adult patients (≥ 18 years) with a confirmed diagnosis of PsA who are starting guselkumab or any approved IL-17 inhibitor as a first, second, third or fourth line of PsA treatment and who provide written informed consent will be eligible to participate. Participants will be followed for a maximum of 36 months (+3 months) from the start of treatment. Study visits will occur in line with the standard of care, approximately every 6 months, plus an additional visit at 3 months after the start of treatment. eDaily by PsABIOnd - aneHealth substudy, will document the impact of these treatments on wellbeing and symptoms in a subgroup of participants over a 24-week (+4 weeks) observation period on treatment.

PLANNED OUTCOMES

The primary objective of PsABIOnd is to evaluate treatment persistence with guselkumab and IL-17 inhibitors. Data sources will include validated electronic patient-reported outcomes (ePROs) and physician-completed assessments. Safety data will be collected through reporting adverse events. The eDaily by PsABIOnd substudy will use wearable and digital technologies for continuous activity and sleep monitoring, and frequent patient eDiary and ePRO collection to provide a more detailed and comprehensive picture of PsA.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT05049798.

Adverse cardiovascular effect following gonadotropin-releasing hormone antagonist versus GnRH agonist for prostate cancer treatment: A systematic review and meta-analysis

Background

Androgen deprivation therapy is the mainstay of medical treatment for prostate cancer (Pca); however, it is associated with an increased risk of adverse cardiovascular (CV) events and death. To date, CV death has been the leading noncancer cause of death in Pca patients. Both GnRH antagonists (an emerging class of drugs) and GnRH agonists (most frequently prescribed) are efficacious against Pca. However, the adverse effects, especially the adverse CV effect between them remain unclear.

Methods

Through a literature search using MEDLINE, EMBASE and the Cochrane Library, all available studies comparing the safety of CV risk between GnRH antagonists and GnRH agonists in Pca patients were extracted. Comparisons of outcomes of interest between these two classes of drugs were calculated using the risk ratio (RR). Subgroup analyses were performed depending on the study design and preexisting CV disease at baseline.

Results

Nine randomized controlled clinical trials (RCTs) and five real-world observational studies comprising 62160 Pca patients were included in our meta-analysis. Patients receiving GnRH antagonists experienced fewer CV events (RR: 0.66, 95% CI:0.53-0.82, P<0.001), CV death (RR:0.4, 95% CI: 0.24-0.67, P<0.001) and myocardial infarctions (RR: 0.71, 95% CI: 0.52-0.96, P=0.03). No difference was found in the incidence of stroke and heart failure. Moreover, GnRH antagonists were associated with fewer CV events in patients with preexisting CV disease but not in those without preexisting CV disease in the RCT series.

Conclusion

GnRH antagonists appear to offer favorable safety in terms of adverse CV events and CV death compared with GnRH agonists among men diagnosed with Pca, especially those who had established CV disease at baseline.

Systematic review registration

https://inplasy.com/inplasy-2023-2-0009/, identifier INPLASY202320009.

Low-dose aspirin in the primary prevention of cardiovascular diseases: A retrospective, propensity score matched study

BACKGROUND AND AIMS

Although the guidelines have been revised recently, the effect of aspirin for the primary prevention of cardiovascular disease (CVD) is still controversial. Thus, we aimed to evaluate the effect of aspirin on primary prevention in the real world.

METHODS

Among the 4,266,268 participants without a history of CVD or previous prescription of aspirin and other antiplatelet agents who were screened between 2002 and 2008, 268,963 persons who were prescribed low-dose aspirin (≤100 mg/day) over 90 days in 2002-2008 and 1,075,852 persons who did not receive aspirin were selected after propensity score matching. A Cox proportional-hazards model was used to evaluate the effect of low-dose aspirin on the development of CVD and bleeding episodes.

RESULTS

Aspirin showed a protective effect on total CVD events (hazard ratio (HR); 0.737, 95% confidence interval; 0.729-0.745). The protective effect of aspirin on total CVD events was significant in men, women and even in young participants (<65 years). Aspirin had a protective effect in participants with diabetes or hypertension against all subcategories of CVD. The HR of bleeding risk was 1.4-1.5 in aspirin group.

CONCLUSIONS

Low-dose aspirin generally showed a protective effect against CVD regardless of age, sex, and underlying comorbidities in the real world. Though, the effect of aspirin was evident at a young age, the risk of bleeding was also high (1.4-1.5 times), and thus, careful prescription is required.

Life Engagement Improvement Following Initiation of Brexpiprazole Treatment in Patients with MDD: A Naturalistic, Retrospective Real-World Study

Purpose

Life engagement encompasses concepts such as life fulfillment, well-being, and participation in meaningful activities, encompassing cognitive, physical, social, and emotional dimensions. Patients with MDD experience impaired functioning across multiple domains of life engagement and have ranked concepts related to life engagement and fulfillment as important predictors of treatment success. Post-hoc analyses of three clinical trials of patients with MDD treated adjunctively with brexpiprazole have reported a significantly greater improvement in life engagement. This study investigated improvements in life engagement among patients with MDD following initiation of brexpiprazole treatment using a real-world dataset.

Patients and Methods

Information was extracted from semi-structured clinical notes of the Mental Status Examination (MSE) of patients in a real-world setting to develop an outcome measure for quantifying life engagement of psychiatric patients. Measures of life engagement and its four sub-domains (emotional, physical, social, and cognitive) were calculated at each clinical visit for 624 adult patients with MDD during the 6 months following brexpiprazole initiation. Paired t-tests assessed differences between the index event and time periods within 6 months of the index event. Kaplan-Meier survival analyses were used to quantify the improvement in life engagement scores following brexpiprazole initiation.

Results

The study identified 54 clinical features associated with life engagement. Statistically significant improvements were observed from as early as 1 month following brexpiprazole initiation, with 20.6%, 37.9%, and 53.9% of the patients demonstrating improved life engagement scores within 1, 3, and 6 months, respectively. The improvements were particularly apparent for the emotional and social sub-domains.

Conclusion

The results of this study provide evidence of improved life engagement following brexpiprazole initiation in a real-world dataset.

Decentralised clinical trials in multiple sclerosis research

Randomised controlled trials (RCTs) play an important role in multiple sclerosis (MS) research, ensuring that new interventions are safe and efficacious before their introduction into clinical practice. Trials have been evolving to improve the robustness of their designs and the efficiency of their conduct. Advances in digital and mobile technologies in recent years have facilitated this process and the first RCTs with decentralised elements became possible. Decentralised clinical trials (DCTs) are conducted remotely, enabling participation of a more heterogeneous population who can participate in research activities from different locations and at their convenience. DCTs also rely on digital and mobile technologies which allows for more flexible and frequent assessments. While hospitals quickly adapted to e-health and telehealth assessments during the COVID-19 pandemic, the conduct of conventional RCTs was profoundly disrupted. In this paper, we review the existing evidence and gaps in knowledge in the design and conduct of DCTs in MS.

The use of long-acting insulin degludec in adult patients with type 2 diabetes mellitus in real clinical practice in Russia

BACKGROUND: Effective glycaemic control remains the most important task in managing the risks of Diabetes type 2 complications development. In this regard, the choice of insulin preparations with minimal variability of action is of utmost importance since this approach allows achieving the maximum treatment effectiveness and adequate safety level.

AIM: The aim of this study was to investigate insulin degludec treatment effect on glycemic control in adult patients with Diabetes Mellitus (DM) type 2 in a real-world clinical setting in the Russian Federation.

MATERIALS AND METHODS: The open prospective study was conducted in 2020–2021 in 35 clinical centers in 31 cities of the Russian Federation. The study included adult patients with type 2 DM treated according to Russian routine clinical practice. The prospective follow-up period was 26 weeks. The main study endpoints were changes in HbA1c level, fasting plasma glucose, insulin daily doses, number, and characteristics of different types of hypoglycaemia episodes and adverse events (AEs), and patient preferences compared to previous treatment.

RESULTS: The study enrolled 494 patients. By the end of follow-up period:

CONCLUSION: The study demonstrated a statistically significant improvement in glycemic control, accompanied by basal insulin dose decrease combined with the absence of severe episodes of hypoglycemia, and significant decrease of nonsevere episodes (total and nocturnal). These results led to a large proportion of patients wanting to continue insulin degludec treatment preferring the medicine over previous treatment.

One-year prediction of cognitive decline following cognitive-stimulation from real-world data

Clinical evidence based on real-world data (RWD) is accumulating exponentially providing larger sample sizes available, which demand novel methods to deal with the enhanced heterogeneity of the data. Here, we used RWD to assess the prediction of cognitive decline in a large heterogeneous sample of participants being enrolled with cognitive stimulation, a phenomenon that is of great interest to clinicians but that is riddled with difficulties and limitations. More precisely, from a multitude of neuropsychological Training Materials (TMs), we asked whether was possible to accurately predict an individual's cognitive decline one year after being tested. In particular, we performed longitudinal modelling of the scores obtained from 215 different tests, grouped into 29 cognitive domains, a total of 124,610 instances from 7902 participants (40% male, 46% female, 14% not indicated), each performing an average of 16 tests. Employing a machine learning approach based on ROC analysis and cross-validation techniques to overcome overfitting, we show that different TMs belonging to several cognitive domains can accurately predict cognitive decline, while other domains perform poorly, suggesting that the ability to predict decline one year later is not specific to any particular domain, but is rather widely distributed across domains. Moreover, when addressing the same problem between individuals with a common diagnosed label, we found that some domains had more accurate classification for conditions such as Parkinson's disease and Down syndrome, whereas they are less accurate for Alzheimer's disease or multiple sclerosis. Future research should combine similar approaches to ours with standard neuropsychological measurements to enhance interpretability and the possibility of generalizing across different cohorts.

An overview of methodological flaws of real-world studies investigating drug safety in the post-marketing setting

INTRODUCTION

The evaluation of the post-marketing safety profile of drugs is a continuous monitoring process for approved and marketed medicines and it is crucial for detecting new adverse drug reactions. As such, real-world studies are essential to complement pre-marketing evidence with information concerning drug risk-benefit profile and use in wider patient populations and they have a great potential to support post-marketing drug safety evaluations.

AREAS COVERED

A detailed description of the main limitations of real-world data sources (i.e. claims databases, electronic healthcare records, drug/disease registers and spontaneous reporting system databases) and of the main methodological challenges of real-world studies in generating real-world evidence is provided.

EXPERT OPINION

Real-world evidence biases can be ascribed to both the methodological approach and the specific limitations of the different real-world data sources used to carry out the study. As such, it is crucial to characterize the quality of real-world data, by establishing guidelines and best practices for the assessment of data fitness for purpose. On the other hand, it is important that real-world studies are conducted using a rigorous methodology, aimed at minimizing the risk of bias.

Differences Among Clinical Trials and Registries on Surgical and Percutaneous Coronary Interventions

BACKGROUND

A need exists for systematic evaluation of the differences in baseline characteristics and early outcomes between patients enrolled in randomized controlled trials (RCTs) and clinical practice for coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI).

METHODS

Systematic searches were conducted to identify RCTs comparing CABG vs PCI and CABG or PCI registries. Sixteen predefined baseline characteristics and 30-day mortality were extracted from the included studies. Pooled proportion and mean with 95% CI were calculated for binary and continuous outcomes, respectively, by using the random effects model.

RESULTS

Fourteen RCTs and 10 registries including more than 2 million patients were included. Registry patients who underwent CABG had a higher prevalence of hypertension, smoking, reduced left ventricular ejection fraction, and prior myocardial infarction, but a lower prevalence of single-vessel disease when compared with CABG-treated patients included in RCTs. Regarding PCI, hypertension, hyperlipidemia, left main coronary artery disease, triple-vessel coronary disease, and NYHA functional class <IV were significantly more prevalent among patients in RCTs, whereas age, reduced left ventricular ejection fraction, and smoking were more represented among PCI registry patients. Thirty-day mortality was higher in registries for both PCI-treated and CABG-treated patients.

CONCLUSIONS

There were significant differences in baseline characteristics and 30-day mortality between patients enrolled in RCTs comparing CABG vs PCI and CABG and PCI registries. However, results were mixed, and the discrepancy was less than seen in other fields.

Transdiagnostic symptom networks in relation to mental health service use in community youth

OBJECTIVE

The objective of this study is to scrutinize whether psychopathology symptom networks differ between those with and without lifetime: treatment seeking, treatment and treatment of longer duration.

METHODS

We created non-exclusive groups of subjects with versus without lifetime treatment seeking, treatment and treatment of mid-long-term duration. We estimated Ising models and carried out network comparison tests (NCTs) to compare (a) overall connectivity and (b) network structure. Furthermore, we examined node strength. We used propensity score matching (PSM) to minimize potential confounding by indication for service use.

RESULTS

Based on data from 9,172 participants, there were no statistically significant differences in overall connectivity and network structure in those with versus without lifetime: treatment seeking (p = .75 and p = .82, respectively), treatment (p = .63 and p = .49, respectively) and treatment of mid-longterm duration (p = .15 and p = .62, respectively). Notably, comparing networks with versus without service use consistently revealed higher node strength in 'obsessions' and 'aggression' and lower node strength in 'elevated mood' in all networks with service use.

CONCLUSIONS

Findings suggest that after adjusting for potential confounding by indication for service use, there was no indication of an association in overall connectivity or network structure for lifetime treatment seeking, treatment and treatment of longer duration. However, selected structurally important symptoms differed consistently in all three comparisons. Our findings highlight the potential of network analysis methods to examine treatment mechanisms and outcomes. Specifically, more granular network characteristics on the node level may complement and enrich traditional outcomes in clinical research.

Promoting self‐healing power and balancing immune response: a holistic, effective strategy of traditional Chinese medicine in treating COVID‐19

The COVID-19 pandemic is a serious challenge to human medicines. Modern medicine (MM) has been excellent in identifying the virus, sequencing its mutants, and monitoring the pandemic progress. However, due to lack of effective antivirals in the first two years of the pandemic, MM treated COVID-19 mainly by conventional supportive care with limited efficacy. In China, traditional Chinese medicine (TCM) has been actively participating the control of COVID-19, and the combination of TCM and conventional supportive care has shown better efficacies than the conventional care alone. Purpose: Clinical studies have shown that TCM treats COVID-19 through a holistic action, such as repairing organ injuries, anti-inflammation, immunoregulation and antiviral activities, etc. However, it is not clear how TCM is able to achieve these effects, and the scientific interpretation of TCM theories is lacking. This review aims to elucidate the scientific basis underlying TCM theories in the context of host-pathogen interaction and provide a working model for TCM in treating infectious diseases. Procedure: This review focuses on the essential components of host-pathogen interaction and performs an in-depth analysis of current literatures, including TCM theories and clinical studies as well as the most recent findings of tolerance (self-healing) mechanism in biomedical sciences. Conclusion: TCM treats COVID-19 through a holistic regulation of host responses, particularly by promoting patients’ self-healing power and balancing immune responses. Compared to the pathogen-centered MM, the host-centered TCM doesn't require specific antivirals and has less side-effects and drug resistance. This review provides a scientific insight into the mechanism of TCM and sheds a light on the prospective integration of TCM and MM for future challenges.

Impact of Integrating Machine Learning in Comparative Effectiveness Research of Oral Anticoagulants in Patients with Atrial Fibrillation

We aimed to compare the ability to balance baseline covariates and explore the impact of residual confounding between conventional and machine learning approaches to derive propensity scores (PS). The Health Insurance Review and Assessment Service database (January 2012-September 2019) was used. Patients with atrial fibrillation (AF) who initiated oral anticoagulants during July 2015-September 2018 were included. The outcome of interest was stroke/systemic embolism. To estimate PS, we used a logistic regression model (i.e., a conventional approach) and a generalized boosted model (GBM) which is a machine learning approach. Both PS matching and inverse probability of treatment weighting were performed. To evaluate balance achievement, standardized differences, p-values, and boxplots were used. To explore residual confounding, E-values and negative control outcomes were used. In total, 129,434 patients were identified. Although all baseline covariates were well balanced, the distribution of continuous variables seemed more similar when GBM was applied. E-values ranged between 1.75 and 2.70 and were generally higher in GBM. In the negative control outcome analysis, slightly more nonsignificant hazard ratios were observed in GBM. We showed GBM provided a better ability to balance covariates and had a lower impact of residual confounding, compared with the conventional approach in the empirical example of comparative effectiveness analysis.

Adverse Effects of Angiotensin-Converting Enzyme Inhibitors in Humans: A Systematic Review and Meta-Analysis of 378 Randomized Controlled Trials

Background: Although angiotensin-converting enzyme (ACE) inhibitors are among the most-prescribed medications in the world, the extent to which they increase the risk of adverse effects remains uncertain. This study aimed to systematically determine the adverse effects of ACE inhibitors versus placebo across a wide range of therapeutic settings. Methods: Systematic searches were conducted on PubMed, Web of Science, and Cochrane Library databases. Randomized controlled trials (RCTs) comparing an ACE inhibitor to a placebo were retrieved. The relative risk (RR) and its 95% confidence interval (95% CI) were utilized as a summary effect measure. A random-effects model was used to calculate pooled-effect estimates. Results: A total of 378 RCTs fulfilled the eligibility criteria, with 257 RCTs included in the meta-analysis. Compared with a placebo, ACE inhibitors were associated with an significantly increased risk of dry cough (RR = 2.66, 95% CI = 2.20 to 3.20, p < 0.001), hypotension (RR = 1.98, 95% CI = 1.66 to 2.35, p < 0.001), dizziness (RR = 1.46, 95% CI = 1.26 to 1.70, p < 0.001), and hyperkalemia (RR = 1.24, 95% CI = 1.01 to 1.52, p = 0.037). The risk difference was quantified to be 0.037, 0.030, 0.017, and 0.009, respectively. Conclusions: We quantified the relative risk of numerous adverse events associated with the use of ACE inhibitors in a variety of demographics. This information can help healthcare providers be fully informed about any potential adverse consequences and make appropriate suggestions for their patients requiring ACE inhibitor therapy.

Digital Health and Big Data Analytics: Implications of Real-World Evidence for Clinicians and Policymakers

Real world data (RWD) and real-world evidence (RWE) plays an increasingly important role in clinical research since scientific knowledge is obtained during routine clinical large-scale practice and not experimentally as occurs in the highly controlled traditional clinical trials. Particularly, the electronic health records (EHRs) are a relevant source of data. Nevertheless, there are also significant challenges in the correct use and interpretation of EHRs data, such as bias, heterogeneity of the population, and missing or non-standardized data formats. Despite the RWD and RWE recognized difficulties, these are easily outweighed by the benefits of ensuring the efficacy, safety, and cost-effectiveness in complement to the gold standards of the randomized controlled trial (RCT), namely by providing a complete picture regarding factors and variables that can guide robust clinical decisions. Their relevance can be even further evident as healthcare units develop more accurate EHRs always in the respect for the privacy of patient data. This editorial is an overview of the RWD and RWE major aspects of the state of the art and supports the Special Issue on "Digital Health and Big Data Analytics: Implications of Real-World Evidence for Clinicians and Policymakers" aimed to explore all the potential and the utility of RWD and RWE in offering insights on diseases in a broad spectrum.

Real-world studies: bridging the gap between trial-assessed efficacy and routine care

Even though randomized controlled clinical trials (RCTs) have been accepted as the gold standard for official assessment of novel interventions, there is a substantial gap between the efficacy observed in RCTs and the impact on clinical practice and in terms of patient benefit. While real-world studies (RWS) are emerging to confer valuable complementing evidence in this regard and beyond, the evolving role of RWS is yet to be agreed. This article delineates an updated profile of RWS covering effectiveness verification, rare adverse effects discovery, indication repurposing, to name a few. RWS tends not only to improve the efficiency of clinical investigations for regulatory approval, but also optimizes the whole-life cycle evaluation of biomedical/pharmaceutical products.

Analysis of therapeutic effectiveness and adverse effects of long-term corticosteroids among leprosy patients with reactions: A retrospective cohort study

Objectives

Main therapy for leprosy reactions is 12 weeks corticosteroids according to World Health Organization recommendations, but recovery cannot be achieved and recurrence occurs. Long duration of administration was thought to provide better clinical improvement. Evidence of the efficacy of corticosteroids in leprosy reactions is still lacking, and optimal dose and duration of therapy vary, while the need for long-term high-dose corticosteroids makes it difficult to avoid adverse effects.

Methods

This is a retrospective cohort study analyzing the difference between therapeutic effectiveness and adverse effects of 12 weeks and >12 weeks corticosteroids, involving all new leprosy patients without age restriction, at Cipto Mangunkusumo Hospital and Cakung Community Health Center in Indonesia during 1 January 2015-31 December 2017. Secondary data were collected from medical records, and observations carried out until December 2018. Therapeutic effectiveness was assessed from clinical improvement to corticosteroids discontinuation, without 3 months recurrence after first cycle was completed. Adverse effects were assessed by all corticosteroids-related side effects.

Results

Of 195 patients, 57 (29.2%) used 12 weeks corticosteroids, and 138 (70.8%) for >12 weeks. Effectiveness occurred in 38 (66.7%) of 12 weeks group and 106 (76.8%) of >12 weeks group (relative risk = 0.604, 95% confidence interval = 0.307-1.189, p = 0.143). Of 145 patients, adverse effects occurred in 12 (31.6%) of 12 weeks group and 70 (65.4%) of >12 weeks group (relative risk = 0.244, 95% confidence interval = 0.111-0.538, p < 0.001). Of 171 adverse effects, 37.4% were mild such as dyspepsia, skin disorders, and lipodystrophy, while 62.6% were severe in the form of neuropsychiatric disorders, eye disorders, cardiovascular disease, gastrointestinal bleeding, metabolic-hormonal abnormalities, and reactivation of infections.

Conclusion

There is no effectiveness difference in the form of clinical improvement without 3 months recurrence, between 12 weeks and >12 weeks corticosteroid, while longer administration causes 4 times more events.

Infliximab Treatment Persistence among Japanese Patients with Chronic Inflammatory Diseases: A Retrospective Japanese Claims Data Study

Infliximab (IFX) has contributed to the treatment of several chronic inflammatory diseases, including Crohn's disease (CD), ulcerative colitis (UC), psoriasis (Pso), and rheumatoid arthritis (RA). However, the loss of response in some patients with long-term IFX therapy has been a major problem. Randomized controlled trials (RCTs) are limited in their short duration and lack of generalizability to the real-world population. We aimed to describe the persistence rates of IFX therapy to estimate its long-term effectiveness in clinical practice. Claims data from the Japan Medical Data Center database from January 2005 to June 2017 were used. The study population was identified based on the International Classification of Diseases, 10th Revision and the Anatomical Therapeutic Chemical Classification System. The 5-year persistence rates of IFX therapy were estimated using the Kaplan-Meier method. Overall, 281, 235, 41, and 222 patients with CD, UC, Pso, and RA, respectively, were selected. The 5-year persistence rates for IFX claims were 62.9, 38.9, 22.1, and 28.1% in patients with CD, UC, Pso, and RA, respectively. Patients with CD and UC administered IFX beyond the median dose had higher persistence rates. In patients with RA, female sex and no prior use of other biologics were associated with longer persistence. In conclusion, IFX persistence rates differed across chronic inflammatory diseases, which did not correspond to the results of the major RCTs. Factors associated with longer IFX persistence were identified in each disease group. Our findings may provide useful information to facilitate the proper use of IFX.

Real-World Performance of the MiniMed™ 780G System: First Report of Outcomes from 4120 Users

Background: The MiniMed™ 780G system includes an advanced hybrid closed loop (AHCL) algorithm that provides both automated basal and correction bolus insulin delivery. The preliminary performance of the system in real-world settings was evaluated. Methods: Data uploaded from August 2020 to March 2021 by individuals living in Belgium, Finland, Italy, the Netherlands, Qatar, South Africa, Sweden, Switzerland, and the United Kingdom were aggregated and retrospectively analyzed to determine the mean glucose management indicator (GMI), percentage of time spent within (TIR), below (TBR), and above (TAR) glycemic ranges, system use, and insulin consumption in users having ≥10 days of sensor glucose (SG) data after initiating AHCL. The impact of initiating AHCL was evaluated in a subgroup of users also having ≥10 days of SG data, before AHCL initiation. Results: Users (N = 4120) were observed for a mean of 54 ± 32 days. During this time, they spent a mean of 94.1% ± 11.4% of the time in AHCL and achieved a mean GMI of 6.8% ± 0.3%, TIR of 76.2% ± 9.1%, TBR <70 of 2.5% ± 2.1%, and TAR >180 of 21.3% ± 9.4%, after initiating AHCL. There were 77.3% and 79.0% of users who achieved a TIR >70% and a GMI of <7.0%, respectively. Users for whom comparison with pre-AHCL was possible (N = 812) reduced their GMI by 0.4% ± 0.4% (P = 0.005) and increased their TIR by 12.1% ± 10.5% (P < 0.0001), post-AHCL initiation. More users achieved the glycemic treatment goals of GMI <7.0% (37.6% vs. 75.2%, P < 0.0001) and TIR >70% (34.6% vs. 74.9%, P < 0.0001) when compared with pre-AHCL initiation. Conclusion: Most MiniMed 780G system users achieved TIR >70% and GMI <7%, while minimizing hypoglycemia, in a real-world condition.

Inter-Rater and Intra-Rater Reliability of the INSPECT (Interactive Nutrition Specific Physical Exam Competency Tool) Measured in Multi-Site Acute Care Settings

Even as new medical modalities, diagnostics, and technologies are rapidly changing healthcare, providing patients with safe, high-quality care remains the central focus. To provide safe patient care, healthcare providers are obligated to demonstrate and maintain the necessary competence. As more healthcare disciplines move toward a competency-based education model, it is essential to extend the competence verification from the academic educational level to the patient’s bedside. The nutrition-focused physical exam (NFPE) is a competency recently adopted by registered dietitian nutritionists (RDNs) for assessing patients’ nutritional status. Being a newly acquired skill, validated tools are required to measure NFPE competence during routine clinical practice. The Interactive Nutrition Specific Physical Exam Competency Tool (INSPECT) is a new tool developed specifically to observe and measure RDNs’ NFPE competence in clinical settings. The INSPECT was designed and validated for content using expert RDNs’ input in the first and second phases of the study. This current study aimed to assess the reliability of the INSPECT through multi-site observations by clinical supervisors evaluating RDNs’ NFPE competency during patient assessment. The INSPECT exhibited good inter-rater reliability (ICC = 0.78 for the first assessment and ICC = 0.68 for the second assessment), moderate to strong intra-rater reliability for 37 of 41 items (Spearman rho = 0.54 to 1.0), and excellent internal consistency (Cronbach’s α = 0.86 for the first assessment and α = 0.92 for the second assessment). In total, 10 out of the 11 INSPECT subsets showed good to excellent internal consistency (α ranging from 0.70 to 0.98). The results demonstrate that the INSPECT is a reliable tool, is stable over time, and has good agreement and excellent consistency between raters. The INSPECT can be a valuable tool to measure, promote and maintain RDNs’ NFPE competence in authentic acute care settings.

Efficacy and Safety of Afatinib in the Treatment of Advanced Non-Small-Cell Lung Cancer with EGFR Mutations: A Meta-Analysis of Real-World Evidence

Introduction

The purpose of this study was to explore the efficacy and safety of afatinib in advanced non-small-cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations based on real-world evidence.

Materials and Methods

Eligible real-world studies were identified from PubMed, Cochrane Library, and Embase. Cochrane guidelines were used to assess the quality of included studies. Cochran's Q test and I² statistics were used for the heterogeneity analysis.

Results

Twenty-five studies were included in this meta-analysis; nine studies were included in the qualitative descriptive analysis. The summarized disease control rate (DCR) was 87.6% (81.5%, 92.7%), and the overall response rate (ORR) was 58.9% (48.8%, 68.7%). The pooled median progression-free survival (PFS) was 12.4 (10.3, 14.5) months, mean time to failure (TTF) was 15.4 (13.6, 17.2) months, and median overall survival (OS) was 31.6 (26.7, 36.5) months. The total incidences of adverse events (AEs) for skin rashes, diarrhea, paronychia, and mucositis were 71.4% (64.4%, 77.9%), 70.4% (60.1%, 79.8%), 52.1% (41.9, 62.3%), and 36.5% (29.5%, 43.8%), respectively. The incidences of severe adverse events (SAEs, Grade ≥3) for diarrhea, skin rashes, paronychia, and mucositis were 9.7% (6.8%, 13.1%), 5.8% (4.5%, 7.2%), 3.8% (2.0%, 6.2%), and 2.1% (1.0%, 3.6%), respectively. Differences in PFS and OS between the afatinib non-full-dose (<40 mg) and full-dose (>40 mg) groups were not significant (P > 0.05). However, the ORR in the full-dose group was 78.5% (66.7%, 88.4%), which was significantly higher than that in the non-full-dose group (67.8% [56.8%, 77.9%]).

Conclusion

The efficacy and safety of afatinib has been confirmed by real-world evidence in advanced NSCLC with EGFR mutation, consistent with randomized controlled trial results. In real-world setting, tolerability-guided dose adjustment might not affect the afatinib efficacy.

A Quality-of-Life Evaluation Study Assessing Health-Related Quality of Life in Patients Receiving Medicinal Cannabis (the QUEST Initiative): Protocol for a Longitudinal Observational Study

Background

Evidence supports several countries introducing legislation to allow cannabis-based medicine as an adjunctive treatment for the symptomatic relief of chronic pain, chemotherapy-induced nausea, spasticity in multiple sclerosis (MS), epileptic seizures, depression, and anxiety. However, clinical trial participants do not represent the entire spectrum of disease and health status seen in patients currently accessing medicinal cannabis in practice.

Objective

This study aims to collect real-world data to evaluate health-related quality of life in patients prescribed medicinal cannabis oil and describe any differences over time, from before starting therapy to after 3 and 12 months of therapy.

Methods

Adult patients newly prescribed medicinal cannabis oil by authorized prescribers and under the Special Access Schemes across Australia will be screened for eligibility and invited to participate. A sample size of 2142 is required, with a 3-month follow-up. All participants will complete the EuroQol 5-Dimension; European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-30; Depression, Anxiety, and Stress Scale-21; Patients’ Global Impression of Change; Patient-Reported Outcomes Measurement Information System (PROMIS) Short Form (SF) version 1.0: Sleep Disturbance 8b; and PROMIS SF Fatigue 13a questionnaires. Patients with chronic pain conditions will also complete the PROMIS SF version 1.0: Pain Intensity 3a and PROMIS SF version 1.0: Pain Interference 8a. Patients with movement disorders will also complete Quality of Life in Neurological Disorders (Neuro-QoL) SF version 1.0: Upper Extremity Function (Fine Motor and Activities of Daily Living) and if chorea is indicated, the Neuro-QoL SF version 2.0: Huntington’s Disease health-related Quality of LIFE-Chorea 6a. All questionnaires will be administered at baseline, 2 weeks (titration), monthly up to 3 months, and then every 2 months up to 1 year.

Results

Recruitment commenced in November 2020. By June 2021, 1095 patients were screened for the study by 69 physicians in centers across 6 Australian states: Australian Capital Territory, New South Wales, Queensland, South Australia, Victoria, and Western Australia. Of the patients screened, 833 (39% of the target sample size) provided consent and completed baseline questionnaires. Results are expected to be published in 2022. Results of this study will show whether patient-reported outcomes improve in patients accessing prescribed medicinal cannabis from baseline to 3 months and whether any changes are maintained over a 12-month period. This study will also identify differences in improvements in patient-reported outcomes among patients with different chronic conditions (eg, chronic pain, MS, epilepsy, Parkinson disease, or cancer).

Conclusions

This protocol contains detailed methods that will be used across multiple sites in Australia. The findings from this study have the potential to be integral to treatment assessment and recommendations for patients with chronic pain and other health indicators for accessing medicinal cannabis.

Trial Registration

Australian New Zealand Clinical Trials Registry: ANZCTRN12621000063819; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=380807&isReview=true

International Registered Report Identifier (IRRID)

DERR1-10.2196/32327

The Effects of a Digital Mental Health Intervention in Adults With Cardiovascular Disease Risk Factors: Analysis of Real-World User Data

Background

The American Heart Association has identified poor mental health as a key barrier to healthy behavior change for those with cardiovascular disease (CVD) risk factors such as high blood pressure, high cholesterol, and diabetes. Digital mental health interventions, like those delivered via the internet to computers or smartphones, may provide a scalable solution to improving the mental and physical health of this population. Happify is one such intervention and has demonstrated evidence of efficacy for improving aspects of mental health in both the general population and in users with chronic conditions.

Objective

The objectives of this analysis of real-world data from Happify users with self-reported CVD risk factors, including high blood pressure and cholesterol, diabetes, and heart disease, were to examine whether these users would report improvements in subjective well-being and anxiety over time (H1) and use of Happify as recommended would be associated with significantly greater improvement in subjective well-being and anxiety over time compared to less-than-recommended usage (H2).

Methods

Data were obtained from existing Happify users who reported the aforementioned CVD risk factors. The sample included 1803 users receiving at least 6 weeks’ exposure to Happify (ranging from 42 days to 182 days) who completed at least one activity and two assessments within the app during that time. Subjective well-being was assessed with the Happify Scale, a 9-item measure of positive emotionality and life satisfaction, and anxiety was assessed with the Generalized Anxiety Disorder 2 (GAD-2). To evaluate H1, changes over time in both outcomes were assessed using mixed effects linear regression models, controlling for demographics and usage. For H2, an interaction term was added to the models to assess whether usage as recommended was associated with greater improvement over time.

Results

Both hypotheses were supported. For both the Happify scale and GAD-2, the initial multivariable model without an interaction demonstrated an effect for time from baseline, and the addition of the interaction term between time and recommended use was significant as well.

Conclusions

This analysis of real-world data provides preliminary evidence that Happify users with self-reported CVD risk factors including high blood pressure or cholesterol, diabetes, and heart disease experienced improved well-being and anxiety over time and that those who used Happify as recommended experienced greater improvements in these aspects of mental health than those who completed fewer activities. These findings extend previous research, which demonstrated that engagement with Happify as recommended was associated with improved well-being among physically healthy users and in those with chronic conditions, to a new population for whom mental health is especially critical: those at risk of developing CVD.

Real-Life Retention Rates and Reasons for Switching of Biological DMARDs in Rheumatoid Arthritis, Psoriatic Arthritis, and Ankylosing Spondylitis

Aims: To determine real-life biologic/targeted synthetic disease-modifying anti-rheumatic drug (b/tsDMARD) retention rates in rheumatoid arthritis (RA), psoriatic arthritis (PsA), and ankylosing spondylitis (AS), explore reasons for switching and to compare results to previously published data.

Methods: Time-to-event analysis for mean treatment duration (estimated as the Restricted Mean Survival Time), b/tsDMARD failure, and b/tsDMARDs switching was performed for 230 patients (n = 147 RA, 46 PsA, 37 AS) who commenced their first b/tsDMARD between 2008 and 2018. Patients were managed in a dedicated “biologics” clinic in a tertiary hospital; the choice of b/tsDMARD was clinician driven based on medical factors and patient preferences. The effect of covariates on switching risk was analysed by a conditional risk-set Cox proportional-hazards model. Treatment retention data was compared to a historical analysis (2002–2008).

Results: The proportions remaining on treatment (retention) were similar, throughout follow-up, for the first, second and third b/tsDMARDs across all patients (p = 0.46). When compared to RA patients, the risk of b/tsDMARD failure was halved in PsA patients [Hazard Ratio (HR) = 0.50], but no different in AS patients (HR = 1.0). The respective restricted mean (95%CI) treatment durations, estimated at 5 years of follow-up, were 3.1 (2.9, 3.4), 4.1 (3.7, 4.6), and 3.3 (2.8, 3.9) years, for RA, PsA, and AS, respectively. Age, gender, disease duration, smoking status and the use of concomitant csDMARDS were not associated with the risk of bDMARD failure. The most common reasons for switching in the first and subsequent years were secondary (n = 62) and primary (n = 35) failure. Comparison with historical data indicated no substantive differences in switching of the first biologic for RA and PsA.

Conclusion: Similar retention rates of the second and third compared to the first b/tsDMARD in RA, PsA, and AS support a strategy of differential b/tsDMARDs use informed by patient presentation. Despite greater availability of b/tsDMARDs with differing mechanisms of action, retention rates of the first b/tsDMARD remain similar to previous years.