Determinants of immunosuppressive therapy in renal transplant recipients: an Italian observational study (the CESIT project)

BACKGROUND

Very scanty evidence is available on factors influencing the choice of immunosuppressive drug therapy after kidney transplantation.

METHODS

An Italian multiregional real-world study was conducted integrating national transplant information system and claims data. All patients undergoing kidney transplantation for the first time during 2009-2019 (incident patients) were considered. Multilevel logistic models were used to estimate Odds Ratio (OR) and corresponding 95% Confidence intervals. Factors with statistically significance were identified as characteristics associated with treatment regimens: cyclosporin-CsA vs tacrolimus-Tac and, within the latter group, mTOR inhibitors vs mycophenolate-MMF.

RESULTS

We identified 3,622 kidney patients undergoing transplantation in 17 hospitals located in 4 Italian regions, 78.3% was treated with TAC-based therapy, of which 78% and 22% in combination with MMF and mTOR, respectively. For both comparison groups, the choice of immunosuppressive regimens was mostly guided by standard hospital practices. Only few recipient and donor characteristics were found associated with specific regimen (donor/receipt age, immunological risk and diabetes).

CONCLUSIONS

The choice of post-renal transplant immunosuppressive therapy seems to be mostly driven by standard Centre practices, while only partially based on patient's characteristics and recognized international guidelines.

Real-world evidence with a retrospective cohort of 15,968 COVID-19 hospitalized patients suggests 21 new effective treatments

PURPOSE

Despite the extensive vaccination campaigns in many countries, COVID-19 is still a major worldwide health problem because of its associated morbidity and mortality. Therefore, finding efficient treatments as fast as possible is a pressing need. Drug repurposing constitutes a convenient alternative when the need for new drugs in an unexpected medical scenario is urgent, as is the case with COVID-19.

METHODS

Using data from a central registry of electronic health records (the Andalusian Population Health Database), the effect of prior consumption of drugs for other indications previous to the hospitalization with respect to patient outcomes, including survival and lymphocyte progression, was studied on a retrospective cohort of 15,968 individuals, comprising all COVID-19 patients hospitalized in Andalusia between January and November 2020.

RESULTS

Covariate-adjusted hazard ratios and analysis of lymphocyte progression curves support a significant association between consumption of 21 different drugs and better patient survival. Contrarily, one drug, furosemide, displayed a significant increase in patient mortality.

CONCLUSIONS

In this study we have taken advantage of the availability of a regional clinical database to study the effect of drugs, which patients were taking for other indications, on their survival. The large size of the database allowed us to control covariates effectively.

Real world efficacy and safety of various accelerated deep TMS protocols for major depression

There is growing interest in accelerated rTMS dosing regimens, wherein multiple sessions of rTMS are applied per day. This Phase IV study evaluated the safety, efficacy, and durability of various accelerated Deep TMS protocols used in clinical practice. Data were aggregated from 111 patients with major depressive disorder (MDD) at 4 sites. Patients received one of several accelerated Deep TMS protocols (2x/day, 3x/day, 5x/day, 10x/day). Self-assessment questionnaires (PHQ-9, BDI-II) and clinician-based rating scales (HDRS-21, MADRS) were collected. On average, accelerated TMS led to an 80.2% response and 50.5% remission rate in the first month based on the most rated scale for each patient. There was no significant difference between protocols (Response: 2x/day:89.6%; 3x/day:75%; 5x/day:81%; 10x/day:67.6%). Response occurred after 10 (3x/day), 20 (5x/day), and 31 sessions (10x/day) on average- all of which occur on day 3-4 of treatment. Of patients with longer term follow up, durability was found in 86.7% (n = 30; 60 days) and 92.9% (n = 14; 180 days). The protocols were well-tolerated with no reported serious adverse events. Accelerated Deep TMS protocols are found to be safe, effective therapeutic options for MDD. They offer treatment resistant patients a treatment option with a rapid onset of action and with long durability.

Creating a Statistical Analysis Plan to Continually Evaluate Intervention Adaptations that Arise in Real-World Implementation

Evidence-based health interventions are frequently translated into real-world settings where practical needs drive changes to intervention protocols. Due to logistical and resource constraints, these naturally arising adaptations are rarely assessed for comparative effectiveness using a randomized trial. Nevertheless, when observational data are available, it is still possible to identify beneficial adaptations using statistical methods that adjust for differences among intervention groups. As implementation continues and more data are collected and assessed, we also require analysis methods that ensure low statistical error rates as multiple comparisons are made over time. This paper describes how to create a statistical analysis plan for evaluating adaptations to an intervention during ongoing implementation. This can be done by combining methods commonly used in platform clinical trials with methods used for real-world data. We also demonstrate how to use simulations based on previous data to decide the frequency with which to conduct statistical analyses. The illustration uses data from large-scale implementation of a school-based resilience and skill-building preventive intervention to which several adaptations were made. The proposed statistical analysis plan for evaluating the school-based intervention has potential to improve population-level outcomes as implementation scales up further and additional adaptations are anticipated.

Achieving clinical outcomes with benralizumab in severe eosinophilic asthma patients in a real-world setting: orbe II study

BACKGROUND

The ORBE II study aimed to describe the characteristics and clinical outcomes of adult patients with severe eosinophilic asthma (SEA) treated with benralizumab in a real-world setting in Spain.

METHODS

ORBE II (NCT04648839) was an observational, retrospective cohort study in adult SEA patients who had been prescribed benralizumab. Demographic and clinical data of 204 SEA patients were collected 12 months prior to benralizumab initiation (baseline) and at follow-up. Exacerbation rate, asthma symptoms, maintenance oral corticosteroid (OCS) use and lung function were evaluated, among other variables.

RESULTS

A total of 204 SEA patients were evaluated. Mean (standard deviation, SD) age of the study population was 56.4 (12.4) years, 62.3% were women and mean (SD) duration of asthma was 15.1 (12.7) years. Median (Q1-Q3) follow-up duration was 19.5 (14.2-24.2) months. At baseline, 72.6% of the overall population (OP) presented blood eosinophil counts ≥ 300 cells/µL; 36.8% had comorbid chronic rhinosinusitis with nasal polyps (CRSwNP); 84.8% reported at least one severe exacerbation, and 29.1% were OCS-dependent. At 1 year of follow-up, patients receiving benralizumab treatment had a 85.6% mean reduction in exacerbations from baseline, and 81.4% of patients achieved zero exacerbations. We also found a clinically relevant mean (SD) increase in pre-bronchodilator (BD) FEV1 of 331 (413) mL, with 66.7% of patients achieving a pre-BD FEV1 increase ≥ 100 mL, and 46.3% of patients achieving a pre-BD FEV1 ≥ 80% of predicted. Regarding symptom control, 73.8% of the OP obtained an ACT score ≥ 20 points. After 1 year of follow-up, mean reduction in the daily OCS dose was 70.5%, and complete OCS withdrawal was achieved by 52.8% of the OCS-dependent patients. Almost half (43.7%) of the OP on benralizumab met all four criteria for clinical remission. Patients with concomitant CRSwNP obtained similar or enhanced outcomes.

CONCLUSIONS

These data support the real-world benefits of benralizumab in SEA patients, and particularly in those with concomitant CRSwNP.

TRIAL REGISTRATION

NCT04648839.

DAPA-HF applicability: the point of view of a cardiology setting

Randomised clinical trials, observational studies, and meta-analyses have shown that sodium-glucose cotransporter 2 inhibitors (SGLT2-i) reduce the risk of hospitalisation for heart failure (HF), chronic kidney disease (CKD) progression, and mortality in patients with HF, irrespective of the presence of type 2 diabetes mellitus. However, real-world epidemiology may differ from clinical trial populations, thereby limiting generalisability and delaying the introduction of novel treatments in clinical practice.The aim of the present study was to assess the prevalence of DAPA-HF (Dapagliflozin and Prevention of Adverse Outcomes in Heart Failure) inclusion criteria in a population of HF with reduced ejection fraction (HFrEF) patients enrolled in the Italian Network on Heart Failure (IN-HF) registry.Overall, 3415 IN-HF patients matched the 4744 patients in DAPA-HF, overlapping for most baseline characteristics (e.g. similar average ejection fraction), with a slightly lower prevalence of type 2 diabetes and of HF ischaemic aetiology and a higher percentage of NYHA class II patients. The theoretical eligibility to DAPA-HF in a cardiology setting resulted to be 73%.The availability of an easily accessible database from a large nationwide prospective registry allows to provide insights to clinicians and policy makers on the applicability of the DAPA HF findings to a contemporary population of HFrEF patients followed by cardiologists. It is reasonable to assume that the results of this analysis can be applicable to the entire SGLT2-ir class of drugs.

Real World Evidence: methodological issues and opportunities from the European Health Data Space

The current Evidence-Based-Medicine (EBM) approach is generally based on data coming from Randomized Clinical Trials or and, epidemiological observational studies. However, the past few years, with the explosion of available data derived from e-technology, a novel aspect regarding EBM arose, the Real-World-Data (RWD). RWD refers to data collected outside traditional studies, such as e-health records, claims data, patient-generated information, registries, etc. This type of information provides invaluable insights into the effectiveness, safety, and value of medical treatments and interventions when applied in real world settings. European Health Data Space (EHDS) is an initiative launched by the European Commission to create a secure and protected platform for exchanging health data across borders within European Union. The powerful combination of RWD within the EHDS serves as a valuable resource, supporting research initiatives. By analyzing diverse RWD sources, researchers generate Real-World Evidence (RWE) broadening medical knowledge. In this comment paper, methodological issues and opportunities of the application of EHDS in member states are discussed. Undoubtedly, EHDS creates a health-specific ecosystem empowering individuals through increased digital access and control their health data, providing a consistent, truthful and proficient set-up for the use of health data for research, innovation, policy-making and regulatory activities.

Rates, predictive factors and effectiveness of ustekinumab intensification to 4- or 6-weekly intervals in Crohn's disease

BACKGROUND

The UNITI trial reports efficacy of ustekinumab (UST) dose intensification in Crohn's disease (CD) from 12- to 8-weekly, but not 4-weekly. We aimed 1) to assess the cumulative incidence of UST dose intensification to 4- or 6-weekly, 2) to identify factors associated with dose intensification, and 3) to assess the effectiveness of this strategy.

METHODS

We performed a retrospective, observational cohort study in NHS Lothian including all UST treated CD patients (2015-2020).

RESULTS

163 CD patients were treated with UST (median follow-up: 20.3 months [13.4-38.4]), of whom 55 (33.7%) underwent dose intensification to 4-weekly (n = 50, 30.7%) or 6-weekly (n = 5, 3.1%). After 1 year 29.9% were dose intensified. Prior exposure to both anti-TNF and vedolizumab (HR 9.5; 1.3-70.9), and concomitant steroid use at UST start (HR 1.8; 1.0-3.1) were associated with dose intensification. Following dose intensification, 62.6% patients (29/55) remained on UST beyond 1 year. Corticosteroid-free clinical remission was achieved in 27% at week 16 and 29.6% at last follow-up.

CONCLUSION

One third of CD patients treated with UST underwent dose intensification to a 4- or 6-weekly interval within the first year. Patients who failed both anti-TNF and vedolizumab, or required steroids at initiation were more likely to dose intensify.

Statistical Considerations on the Use of RWD/RWE for Oncology Drug Approvals: Overview and Lessons Learned

Despite increasing utilization of real-world data (RWD)/real-world evidence (RWE) in regulatory submissions, their application to oncology drug approvals has seen limited success. Real-world data is most commonly summarized as a benchmark control for a single arm study or used to augment the concurrent control in a randomized clinical trial (RCT). While there has been substantial research on usage of RWD/RWE, our goal is to provide a comprehensive overview of their use in oncology drug approval submissions to inform future RWD/RWE study design. We will review examples of applications and summarize the strengths and weaknesses of each example identified by regulatory agencies. A few noteworthy case studies will be reviewed in detail. Operational aspects of RWD/RWE study design/analysis will be also discussed.

Evaluation of reporting quality of cohort studies using real-world data based on RECORD: systematic review

OBJECTIVE

Real-world data (RWD) and real-world evidence (RWE) have been paid more and more attention in recent years. We aimed to evaluate the reporting quality of cohort studies using real-world data (RWD) published between 2013 and 2021 and analyze the possible factors.

METHODS

We conducted a comprehensive search in Medline and Embase through the OVID interface for cohort studies published from 2013 to 2021 on April 29, 2022. Studies aimed at comparing the effectiveness or safety of exposure factors in the real-world setting were included. The evaluation was based on the REporting of studies Conducted using Observational Routinely-collected health Data (RECORD) statement. Agreement for inclusion and evaluation was calculated using Cohen's kappa. Pearson chi-square test or Fisher's exact test and Mann-Whitney U test were used to analyze the possible factors, including the release of RECORD, journal IFs, and article citations. Bonferroni's correction was conducted for multiple comparisons. Interrupted time series analysis was performed to display the changes in report quality over time.

RESULTS

187 articles were finally included. The mean ± SD of the percentage of adequately reported items in the 187 articles was 44.7 ± 14.3 with a range of 11.1-87%. Of 23 items, the adequate reporting rate of 10 items reached 50%, and the reporting rate of some vital items was inadequate. After Bonferroni's correction, the reporting of only one item significantly improved after the release of RECORD and there was no significant improvement in the overall report quality. For interrupted time series analysis, there were no significant changes in the slope (p = 0.42) and level (p = 0.12) of adequate reporting rate. The journal IFs and citations were respectively related to 2 areas and the former significantly higher in high-reporting quality articles.

CONCLUSION

The endorsement of the RECORD cheklist was generally inadequate in cohort studies using RWD and has not improved in recent years. We encourage researchers to endorse relevant guidelines when utilizing RWD for research.

Real-world effectiveness of ixazomib combined with lenalidomide and dexamethasone in relapsed/refractory multiple myeloma: the REMIX study

Ixazomib (IXA) is an oral proteasome inhibitor (PI) used in combination with lenalidomide and dexamethasone (IXA-Rd) for patients with relapsed and/or refractory multiple myeloma (RRMM). The REMIX study is one of the largest prospective, real-world analysis of the effectiveness of IXA-Rd in the setting of RRMM. Conducted in France between August 2017 and October 2019, the REMIX study, a non-interventional prospective study, included 376 patients receiving IXA-Rd in second line or later and followed for at least 24 months. Primary endpoint was the median progression-free survival (mPFS). Median age was 71 years (Q1-Q3 65.0 - 77.5) with 18.4% of participants older than 80 years. IXA-Rd was initiated in L2, L3 and L4 + for 60.4%, 18.1% and 21.5%, respectively. mPFS was 19.1 months (95% CI [15.9, 21.5]) and overall response rate (ORR) was 73.1%. mPFS was 21.5, 21.9 and 5.8 months in patients receiving IXA-Rd as L2, L3, L4 + respectively. Among patients receiving IXA-Rd in L2 and L3, mPFS was similar for patients previously exposed to lenalidomide (19.5 months) than for those lenalidomide naive (not exposed, 22.6 months, p = 0.29). mPFS was 19.1 months in patients younger than 80 years and 17.4 months in those 80 years or older (p = 0.06) with similar ORR (72.4% and 76.8%) in both subgroups. Adverse events (AEs) were reported in 78.2% of patients including 40.7% of treatment-related AE. IXA discontinuation was due to toxicity in 21% of patients. To conclude, the results of the REMIX study are consistent with the results of Tourmaline-MM1 and confirm the benefit of IXA-Rd combination in real life. It shows the interest of IXA-Rd in an older and frailer population, with an acceptable effectiveness and tolerance.

Kidney function loss and albuminuria progression with GLP-1 receptor agonists versus basal insulin in patients with type 2 diabetes: real-world evidence

BACKGROUND

In clinical trials enrolling patients with type 2 diabetes (T2D) at high cardiovascular risk, many glucagon-like peptide-1 receptor agonists (GLP-1 RAs) improved albuminuria status and possibly mitigated kidney function loss. However, limited data are available regarding the effects of GLP-1 RAs on albuminuria status and kidney function in real-world settings, including populations with a lower baseline cardiovascular and kidney risk. We assessed the association of GLP-1 RAs initiation with long-term kidney outcomes in the Maccabi Healthcare Services database, Israel.

METHODS

Adults with T2D treated with  ≥ 2 glucose-lowering agents who initiated GLP-1 RAs or basal insulin from 2010 to 2019 were propensity-score matched (1:1) and followed until October 2021 (intention-to-treat [ITT]). In an as-treated (AT) analysis, follow-up was also censored at study-drug discontinuation or comparator-initiation. We assessed the risk of a composite kidney outcome, including confirmed  ≥ 40% eGFR loss or end-stage kidney disease, and the risk of new macroalbuminuria. Treatment-effect on eGFR slopes was assessed by fitting a linear regression model per patient, followed by a t-test to compare the slopes between the groups.

RESULTS

Each propensity-score matched group constituted 3424 patients, 45% women, 21% had a history of cardiovascular disease, and 13.9% were treated with sodium-glucose cotransporter-2 inhibitors at baseline. Mean eGFR was 90.6 mL/min/1.73 m² (SD 19.3) and median UACR was 14.6 mg/g [IQR 0.0-54.7]. Medians follow-up were 81.1 months (ITT) and 22.3 months (AT). The hazard-ratios [95% CI] of the composite kidney outcome with GLP-1 RAs versus basal insulin were 0.96 [0.82-1.11] (p = 0.566) and 0.71 [0.54-0.95] (p = 0.020) in the ITT and AT analyses, respectively. The respective HRs for first new macroalbuminuria were 0.87 [0.75-0.997] and 0.80 [0.64-0.995]. The use of GLP-1 RA was associated with a less steep eGFR slope compared with basal insulin in the AT analysis (mean annual between-group difference of 0.42 mL/min/1.73 m²/year [95%CI 0.11-0.73]; p = 0.008).

CONCLUSION

Initiation of GLP-1 RAs in a real-world setting is associated with a reduced risk of albuminuria progression and possible mitigation of kidney function loss in patients with T2D and mostly preserved kidney function.

The use of electroconvulsive therapy for children and adolescents in general hospitals: A 2019 kids' inpatient database analysis

OBJECTIVE

Electroconvulsive therapy (ECT) devices are classified as class II (moderate risk) for the treatment of depressive disorders and catatonia in patients aged 13 and older, but it is unknown how often the treatment is utilized by child and adolescent patients. The aim of this study was to examine the demographics of child and adolescent hospitalizations involving ECT, the medical and psychiatric comorbidities of these hospitalizations, and the overall number of treatments administered per hospitalization.

METHOD

The 2019 Kids' Inpatient Database, a national sample of pediatric discharges from 3998 acute care hospitals, was analyzed for hospitalizations involving patients aged 19 and younger receiving ECT based on inpatient procedural codes.

RESULTS

315 (95% confidence interval 275 to 354) discharges among child and adolescent patients, or 0.03% of youth hospitalizations, involved the administration of ECT in the KID in 2019. Hospitalizations in the Northeast, those involving patients residing in ZIP codes in the top income quartile, and those for commercially insured patients had higher odds of ECT administration. Primary discharge diagnoses among ECT recipients were major depressive disorder (143; 46.4%), schizophrenia and other psychotic disorders (71; 23.1%) and bipolar disorder (59; 19.2%). In total 153 (48.6%) of ECT recipients had a coded diagnosis of suicidal ideation. Hospitalizations involved a median of 2 (IQR 1 to 5) ECT treatments before discharge.

CONCLUSIONS

ECT is rarely utilized in the inpatient treatment of child and adolescent patients, but is most often administered to patients with mood and psychotic disorders. Commercial insurance and higher income were associated with higher odds of ECT administration, suggesting that access to care may be limited.

Hierarchical network meta-analysis models for synthesis of evidence from randomised and non-randomised studies

BACKGROUND

With the increased interest in the inclusion of non-randomised data in network meta-analyses (NMAs) of randomised controlled trials (RCTs), analysts need to consider the implications of the differences in study designs as such data can be prone to increased bias due to the lack of randomisation and unmeasured confounding. This study aims to explore and extend a number of NMA models that account for the differences in the study designs, assessing their impact on the effect estimates and uncertainty.

METHODS

Bayesian random-effects meta-analytic models, including naïve pooling and hierarchical models differentiating between the study designs, were extended to allow for the treatment class effect and accounting for bias, with further extensions allowing for bias terms to vary depending on the treatment class. Models were applied to an illustrative example in type 2 diabetes; using data from a systematic review of RCTs and non-randomised studies of two classes of glucose-lowering medications: sodium-glucose co-transporter 2 inhibitors and glucagon-like peptide-1 receptor agonists.

RESULTS

Across all methods, the estimated mean differences in glycated haemoglobin after 24 and 52 weeks remained similar with the inclusion of observational data. The uncertainty around these estimates reduced when conducting naïve pooling, compared to NMA of RCT data alone, and remained similar when applying hierarchical model allowing for class effect. However, the uncertainty around these effect estimates increased when fitting hierarchical models allowing for the differences in study design. The impact on uncertainty varied between treatments when applying the bias adjustment models. Hierarchical models and bias adjustment models all provided a better fit in comparison to the naïve-pooling method.

CONCLUSIONS

Hierarchical and bias adjustment NMA models accounting for study design may be more appropriate when conducting a NMA of RCTs and observational studies. The degree of uncertainty around the effectiveness estimates varied depending on the method but use of hierarchical models accounting for the study design resulted in increased uncertainty. Inclusion of non-randomised data may, however, result in inferences that are more generalisable and the models accounting for the differences in the study design allow for more detailed and appropriate modelling of complex data, preventing overly optimistic conclusions.

Deep TMS H1 Coil treatment for depression: Results from a large post marketing data analysis

Phase IV study evaluated Deep TMS for major depression in community settings. Data were aggregated from 1753 patients at 21 sites, who received Deep TMS (high frequency or iTBS) using the H1 coil. Outcome measures varied across subjects and included clinician-based scales (HDRS-21) and self-assessment questionnaires (PHQ-9, BDI-II). 1351 patients were included in the analysis, 202 received iTBS. For participants with data from at least 1 scale, 30 sessions of Deep TMS led to 81.6% response and 65.3% remission rate. 20 sessions led to 73.6% response and 58.1% remission rate. iTBS led to 72.4% response and 69.2% remission. Remission rates were highest when assessed with HDRS (72%). In 84% of responders and 80% of remitters, response and remission was sustained in the subsequent assessment. Median number of sessions (days) for onset of sustained response was 16 (21 days) and for sustained remission 17 (23 days). Higher stimulation intensity was associated with superior clinical outcomes. This study shows that beyond its proven efficacy in RCTs, Deep TMS with the H1 coil is effective for treating depression under naturalistic conditions, and the onset of improvement is usually within 20 sessions. However, initial non-responders and non-remitters benefit from extended treatment.

Safety and Effectiveness of SB2 (Infliximab Biosimilar) in Adult Patients with Immune-Mediated Inflammatory Diseases: A Post-Marketing Surveillance in Korea

INTRODUCTION

SB2 is a biosimilar of infliximab (IFX), which is approved for rheumatoid arthritis (RA), ankylosing spondylitis (AS), adult and pediatric Crohn's disease (CD), adult and pediatric ulcerative colitis (UC), psoriatic arthritis (PsA), and plaque psoriasis (PsO). The drug approval process in Korea includes post-marketing surveillance (PMS) studies to re-examine the safety and effectiveness of approved new medications.

METHODS

This was a prospective, multi-center, open-label, observational, phase 4 PMS study of IFX-naïve patients or patients switched from reference IFX or another IFX-biosimilar to SB2 in all approved indications. The primary endpoint was to evaluate the safety of SB2 reported as adverse events (AEs) and adverse drug reactions (ADRs). The secondary endpoint was to evaluate the effectiveness measured as investigators' overall effectiveness assessment, categorized as improved, stable, or worsened. Furthermore, disease-specific activity scores were collected for each indication [28-joint Modified Disease Activity Score (DAS28) for RA, Korean Bath Ankylosing Spondylitis Disease Activity Index (KBASDAI), Crohn's Disease Activity Index (CDAI), and Full Mayo Score for UC].

RESULTS

In the safety and effectiveness analysis, 180 and 128 patients were included, respectively. Most patients (83.9%) were IFX-naïve patients and 16.1% were switched patients. RA (48.9%) and AS (31.1%) were the most frequent indications. Overall, 23 (12.8%) patients reported AEs and 14 (7.8%) patients reported ADRs. Serious adverse events (SAEs) were reported by 3 (1.7%) patients. As per investigators' overall effectiveness assessments, SB2 was effective in 94.6% (105/111) of IFX-naïve patients and 82.4% (14/17) of switched patients. In IFX-naïve patients, disease activity scores decreased significantly from baseline to week 30 (week 24 for AS); mean (SD) changes of disease scores for each indication were DAS28 - 1.9 (0.79) for RA, KBASDAI - 3.8 (1.68) for AS, CDAI - 200.4 (112.47) for CD, and Full Mayo Score - 6.6 (2.92) for UC. The persistence rate of SB2 treatments was 88.3% with median treatment duration of 30.1 weeks.

CONCLUSION

This PMS study of the IFX-biosimilar SB2 in Korea confirmed the safety and effectiveness of SB2 in major indications.

A real-world retrospective analysis of the management of metastatic castrate-resistant prostate cancer in Ontario, Canada from 2010 - 2018

PURPOSE

We sought to quantify mCRPC patient treatment patterns and survival across multiple lines of therapy after prior androgen-receptor-axis-targeted therapy (ARAT) failure.

METHODS

Individuals diagnosed with prostate cancer between 2010 and 2018 were identified in the Ontario Cancer Registry (OCR). An algorithm was created to identify patients with mCRPC that was aligned to Prostate Cancer Clinical Trials Working Group 3 criteria (PCWG3) and validated with Canadian clinical experts. In the mCRPC setting, treatment patterns were assessed by line of therapy, and survival was calculated from treatment initiation until death or lost to follow-up.

RESULTS

64,484 men were diagnosed withprostate cancer in Ontario between 2010 and 2018with 5,588 men assessed to have mCRPC and 2,970 (53%) of those received first-line systemic treatment. Across the first-, second- and third-line of therapy, ARATs (abiraterone and enzalutamide) were the most used therapies. Survival for mCRPC patients treated with ARATs in first-, second- and third-line were 13.0 (95% CI, 11.6 - 14.5), 11.5 (95% CI, 10.1 - 13.4) and 8.9 (95% CI, 7.4 - 10.2) months, respectively. Survival for mCRPC patients treated with taxanes in first, second- and third-line were 16.7 (95% CI, 14.8 - 18.0), 11.3 (95% CI, 10.1 - 12.5) and 7.8 (95% CI, 6.5 - 10.6) months, respectively. No statistical difference in overall survival was found between taxanes and ARATs.

CONCLUSION

In this analysis of a large retrospective cohort of Canadian men with mCRPC, we found that survival in patients treated with ARATs and taxanes was fairly similar across all lines of therapy. Importantly, this trend was maintained in ARAT-exposed patients, where sequential ARAT and taxanes offered similar survival. These data may help inform optimal sequencing of therapies in mCRPC.

KRAS G12C mutated advanced non-small cell lung cancer (NSCLC): Characteristics, treatment patterns and overall survival from a Danish nationwide observational register study

OBJECTIVES

We aimed to characterize the advanced NSCLC population in terms of KRAS G12C prevalence, patient characteristics, and survival outcomes after the introduction of immunotherapies.

MATERIALS AND METHODS

We identified adult patients diagnosed with advanced NSCLC between January 1, 2018 and June 30, 2021 using the Danish health registries. Patients were grouped by mutational status (any KRAS mutation, KRAS G12C, and KRAS/EGFR/ALK wildtype [Triple WT]). We analyzed KRAS G12C prevalence, patient and tumor characteristics, treatment history, time-to-next-treatment (TTNT), and overall survival (OS).

RESULTS

We identified 7,440 patients of whom 40% (n = 2,969) were KRAS tested prior to the first line of therapy (LOT1). Among the KRAS tested, 11% (n = 328) harbored KRAS G12C. More KRAS G12C patients were women (67%), smokers (86%), had a high (≥50%) level of PD-L1 expression (54%), and more frequently received anti-PD-L1 treatment than any other group. From the date of the mutational test result, OS (7.1-7.3 months) was similar between the groups. OS from LOT1 (14.0 months) and LOT2 (10.8 months), and TTNT from LOT1 (6.9 months) and LOT2 (6.3 months) was numerically longer for the KRAS G12C mutated group compared to any other group. However, from LOT1 and LOT2, the OS and TTNT were comparable when stratifying the groups by PD-L1 expression level. Regardless of the mutational group, OS was markedly longer for patients with high PD-L1 expression.

CONCLUSION

In patients diagnosed with advanced NSCLC after the implementation of anti-PD-1/L1 therapies, the survival in KRAS G12C mutated patients is comparable to patients with any KRAS mutation, Triple WT, and all NSCLC patients.

Prevalence of diabetes, epidemiological characteristics and vascular complications

OBJECTIVE

To estimate prevalence of diabetes in outpatient care and to describe its epidemiological characteristics, comorbidities, and related vascular complications.

METHODS

Observational cross-sectional study which included all adults affiliated from a private insurance health plan on March 2019, at Hospital Italiano de Buenos Aires, from Argentina.

RESULTS

The global prevalence of diabetes resulted in 8.5% with 95% CI 8.3-8.6 (12,832 out of a total of 150,725 affiliates). The age stratum with the highest prevalence was the group between 65 and 80 years old with 15.7% (95% CI 15.3-16.1). People with diabetes had a mean age of 70 years (SD 14), 52% were women, and the most frequently associated cardiovascular risk factors were: dyslipidaemia (88%), arterial hypertension (74%) and obesity (55%). In relation to metabolic control, 60% had at least one glycosylated hemoglobin measured in the last year, 70% of which were less than 7%. Almost 80% have LDL measured at least once in the last 2 years, 55% of them had an LDL value equal to or less than 100 mg/dl. The macrovascular complications present in order of frequency were: acute myocardial infarction (11%), cerebrovascular accident (8%) and peripheral vascular disease (4%); while the microvascular complications were found to be diabetic neuropathy (4%) and retinopathy (2%). 7% had diabetic foot, with less than 1% amputations.

CONCLUSION

Diabetes represents a prevalent problem, even in elderly patients. This population continues to present a high cardiovascular risk, with little compliance with therapeutic goals.

Validation of the GetReal Trial Tool - Facilitating discussion and understanding more pragmatic design choices and their implications

BACKGROUND

The GetReal Trial Tool is a decision support tool to assess the impact of design choices on generalizability of clinical trials to routine clinical practice, while taking into account the risk of bias, precision, acceptability and operational feasibility. This study describes the validation of the GetReal Trial Tool.

METHODS

Twelve experts took part in the GetReal Trial tool validation using the protocols of 6 trials conducted with pragmatic elements. The tool entails 7 domains with a total of 43 questions. A pooled Kappa statistic (95% CI) using random effects model was estimated using Open Meta (analyst) software. The possible operational challenges were collated and discussed with the trialists that conducted the trials.

RESULTS

Agreement in the design choices made for the trial protocols was >50% for all the trials and all teams reached consensus during discussion. The pooled Kappa statistic (95% CI) was 0.236 (0.154-0.318). The GetReal Trial tool highlighted several operational challenges, of which almost half had been experienced previously by the trialists. Out of 25 additional operational challenges mentioned by the trialists, 76% were already highlighted by the tool. The tool was considered helpful to optimize trials right from the design stage.

CONCLUSION

The GetReal Trial Tool helps to scrutinize the choice of study design in the light of Real World Evidence generation. The tool identifies most of the operational challenges experienced by trialists to date. The tool serves the intended purpose of facilitating discussion and understanding more pragmatic design choices and their implications.

Development of a real-world database for asthma and COPD: The SingHealth-Duke-NUS-GSK COPD and Asthma Real-World Evidence (SDG-CARE) collaboration

PURPOSE

The SingHealth-Duke-GlaxoSmithKline COPD and Asthma Real-world Evidence (SDG-CARE) collaboration was formed to accelerate the use of Singaporean real-world evidence in research and clinical care. A centerpiece of the collaboration was to develop a near real-time database from clinical and operational data sources to inform healthcare decision making and research studies on asthma and chronic obstructive pulmonary disease (COPD).

METHODS

Our multidisciplinary team, including clinicians, epidemiologists, data scientists, medical informaticians and IT engineers, adopted the hybrid waterfall-agile project management methodology to develop the SingHealth COPD and Asthma Data Mart (SCDM). The SCDM was developed within the organizational data warehouse. It pulls and maps data from various information systems using extract, transform and load (ETL) pipelines. Robust user testing and data verification was also performed to ensure that the business requirements were met and that the ETL pipelines were valid.

RESULTS

The SCDM includes 199 data elements relevant to asthma and COPD. Data verification was performed and found the SCDM to be reliable. As of December 31, 2019, the SCDM contained 36,407 unique patients with asthma and COPD across the spectrum from primary to tertiary care in our healthcare system. The database updates weekly to add new data of existing patients and to include new patients who fulfil the inclusion criteria.

CONCLUSIONS

The SCDM was systematically developed and tested to support the use RWD for clinical and health services research in asthma and COPD. This can serve as a platform to provide research and operational insights to improve the care delivered to our patients.

Psychosocial factors partially explain gender differences in health-related quality of life in heart failure patients

AIMS

There is little information about the influence of gender on quality of life (QoL) in heart failure. The purpose of this study was to evaluate whether the health-related QoL gap between men and women can be explained by the interaction between psychosocial factors and clinical determinants in a real-word cohort of patients with chronic heart failure.

METHODS AND RESULTS

We conducted a single-centre, observational, prospective cohort study of 1236 consecutive patients diagnosed with chronic heart failure recruited between 2004 and 2014. To assess QoL, we used the Minnesota Living with Heart Failure Questionnaire (MLHFQ). Female gender was associated with worse global QoL compared to male gender (MLHFQ overall summary score: 49 ± 23 vs. 43 ± 24; P value <0.001, respectively) and similarly had poorer scores in physical and emotional dimensions but scored better on social dimension. In univariate models and in models adjusted for clinical determinants, female gender behaved as a predictor of worse global, physical and emotional QoL, and better social QoL compared with men. In models only including psychosocial determinants and in comprehensive models including all psychosocial and clinical factors, these differences according to gender were no longer significant.

CONCLUSIONS

In this study, we have shown that the gap in health-related QoL between men and women with chronic heart failure can be partially explained by the interaction between biological and psychosocial factors. Biological factors are the main drivers of QoL in HF patients. However, the contribution of psychosocial factors is essential to definitively understand the role of gender in this field.

Establishment of an International Evidence Sharing Network Through Common Data Model for Cardiovascular Research

A retrospective observational study is one of the most widely used research methods in medicine. However, evidence postulated from a single data source likely contains biases such as selection bias, information bias, and confounding bias. Acquiring enough data from multiple institutions is one of the most effective methods to overcome the limitations. However, acquiring data from multiple institutions from many countries requires enormous effort because of financial, technical, ethical, and legal issues as well as standardization of data structure and semantics. The Observational Health Data Sciences and Informatics (OHDSI) research network standardized 928 million unique records or 12% of the world's population into a common structure and meaning and established a research network of 453 data partners from 41 countries around the world. OHDSI is a distributed research network wherein researchers do not own or directly share data but only analyzed results. However, sharing evidence without sharing data is difficult to understand. In this review, we will look at the basic principles of OHDSI, common data model, distributed research networks, and some representative studies in the cardiovascular field using the network. This paper also briefly introduces a Korean distributed research network named FeederNet.

Economic impact of self-administered subcutaneous versus clinic-administered intravenous immunoglobulin G therapy in Alberta, Canada: a population-based cohort study

BACKGROUND

Self-administered subcutaneous immunoglobulin G (SCIg) reduces nursing time and eliminates the need for treatment at ambulatory care clinics, as compared with clinic-based intravenously administered IgG (IVIg), and are therapeutically equivalent. Estimating the economic impact of self-administered SCIg versus clinic-administered IVIg therapy may guide treatment recommendations.

METHODS

A retrospective population-based cohort study using administrative data from Alberta was performed; those treated with IgG between April 1, 2012 and March 31, 2019 were included. Costs for medical laboratory staff and nursing time, as well as ambulatory care visits were considered. Univariate generalized linear model regression with gamma distribution and log link was used to compare cost ($CDN 2020) between SCIg and IVIg administration. Stratified analysis by age (≥ 18-years; < 18-years) was performed.

RESULTS

Among 7,890 (6,148 adults; 1,742 children) individuals who received IgG, the average administration cost per patient-year of self-administered SCIg was $5,386 (95% confidence interval [CI] $5,039, $5,734) lower than clinic-administered IVIg; per patient-year cost of self-administered SCIg was $817 (95% CI $723, $912) versus $6,204 (95% CI $6,100, $6,308) for clinic-administered IVIg. The per patient-year cost of self-administered SCIg was $5,931 (95% CI $5,543, $6,319) lower among adults and $3,177 (95% CI $2,473, $3,882) lower among children compared with clinic-administered IVIg. An estimated $31.0 million (95% CI $29.0, $33.0) in cost savings to the health system would be realised if 80% of individuals switched from clinic-administered IVIg to self-administered SCIg.

CONCLUSIONS

Self-administered SCIg is substantially less costly from a health care payer perspective in Canada. Within this type of health system, switching to self-administered SCIg has the potential to reduce overall health care costs, lessen nursing burden, and may increase clinic-based capacity for others.

Evaluating Real World Mutational Differences Between Hispanics and Asians in NSCLC at a Large Academic Institution in Los Angeles

INTRODUCTION

Hispanics living in the United States have higher rates of Epidermal Growth Factor Receptor (EGFR) mutations compared with Non-Hispanic Whites. While this higher incidence is like Asian patients living in the United States, the outcomes for Hispanic patients differ. We looked to compare the variances in mutational profiles between Hispanics and Asians in Los Angeles.

PATIENTS AND METHODS

Three hundred ninety three non-small cell lung cancer (NSCLC) patients treated at Los Angeles County + University of Southern California (LAC + USC) Medical Center and Norris Comprehensive Cancer Center who received comprehensive genomic profiling (CGP) were evaluated from July 2017 to August 2020. CGP was done using tissue biopsies (n = 211) from Caris Life Sciences and liquid biopsies (n = 231) from Guardant Health. Multivariate logistic regression evaluated the role of race between Hispanics and Asians.

RESULTS

In the Hispanic cohort (n = 90), 50.0% were male, median age of diagnosis was 62, 54.5% were non-smokers, and 85.5% had adenocarcinoma. In Asians (n = 142), 47.5% were male, median age of diagnosis was 65, 59.6% were non-smokers, and 83.8% had adenocarcinoma. Hispanic patients had greater prevalence of Kirsten rat sarcoma virus (KRAS) mutations (odds ratio [OR] 4.42, 95% confidence interval [95% CI]: 1.63-12.83) and lesser prevalence of EGFR mutations (OR 0.31, 95% CI: 0.16-0.59). There were a greater proportion of Hispanic smokers with KRAS mutations (14/41; 34.1%) than Asian smokers (4/58; 6.9%).

CONCLUSION

We saw a greater percentage of Hispanics with KRAS mutations despite similar smoking percentages along with a greater percentage of Asians with EGFR mutations. This study shows that ethnic and racial backgrounds of the patient can influence the effects of potentially carcinogenic exposures leading to variances of mutation frequency of NSCLC among different ethnicities.