Baseline Characteristics and mNAPSI Change from Baseline Scores Through Month 12 for Patients with Moderate-to-Severe Plaque Psoriasis and Concomitant Nail Psoriasis Treated with Biologics from PSoHO.

INTRODUCTION: Nail psoriasis is highly prevalent among patients with psoriasis yet remains one of the most challenging areas to treat. To better understand the treatment landscape for psoriatic nail disease, more studies are needed that compare the effectiveness of different biologics for patients with nail psoriasis. This study contributes to this objective by directly comparing the effectiveness of approved biologics in improving nail psoriasis for patients up to month 12 in a real-world setting. METHODS: Psoriasis Study of Health Outcomes (PSoHO) is an ongoing 3-year, prospective, non-interventional cohort study of adults with chronic moderate-to-severe plaque psoriasis initiating or switching to a new biologic. This study assessed the change in modified Nail Psoriasis Severity Index (mNAPSI) score from baseline to months 3, 6 and 12 for 763 patients and compared the effectiveness of anti-interleukin (IL)-17A biologics versus other approved biologics, as well as ixekizumab versus secukinumab, guselkumab, risankizumab and adalimumab. Comparative adjusted analyses used frequentist model averaging (FMA). Least square mean difference (LSMD) in mNAPSI scores are presented as observed. RESULTS: Irrespective of the severity of nail psoriasis at baseline, the anti-IL-17A cohort had greater mean mNAPSI reductions from baseline compared to the other biologics cohort through month 12, reaching significance at months 3 and 6 in the adjusted analysis. For patients with moderate-to-severe nail psoriasis, ixekizumab showed numerically higher mean reductions in mNAPSI scores compared to all other studied biologics, reaching significance versus guselkumab at all timepoints and risankizumab at month 6. CONCLUSION: This real-world study showed that patients with moderate-to-severe psoriasis and any severity of concomitant nail involvement had significantly faster and more substantial improvements in nail psoriasis up to month 6 in the anti-IL-17A cohort compared to the other biologics cohort. Of the individual biologics studied, ixekizumab showed the highest numerical improvements in nail psoriasis at month 12. TRIAL REGISTRATION: EUPAS24207.

Incidence of type 2 diabetes, cardiovascular disease and chronic kidney disease in patients with multiple sclerosis initiating disease-modifying therapies: Retrospective cohort study using a frequentist model averaging statistical framework.

Researchers are increasingly using insights derived from large-scale, electronic healthcare data to inform drug development and provide human validation of novel treatment pathways and aid in drug repurposing/repositioning. The objective of this study was to determine whether treatment of patients with multiple sclerosis with dimethyl fumarate, an activator of the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway, results in a change in incidence of type 2 diabetes and its complications. This retrospective cohort study used administrative claims data to derive four cohorts of adults with multiple sclerosis initiating dimethyl fumarate, teriflunomide, glatiramer acetate or fingolimod between January 2013 and December 2018. A causal inference frequentist model averaging framework based on machine learning was used to compare the time to first occurrence of a composite endpoint of type 2 diabetes, cardiovascular disease or chronic kidney disease, as well as each individual outcome, across the four treatment cohorts. There was a statistically significantly lower risk of incidence for dimethyl fumarate versus teriflunomide for the composite endpoint (restricted hazard ratio [95% confidence interval] 0.70 [0.55, 0.90]) and type 2 diabetes (0.65 [0.49, 0.98]), myocardial infarction (0.59 [0.35, 0.97]) and chronic kidney disease (0.52 [0.28, 0.86]). No differences for other individual outcomes or for dimethyl fumarate versus the other two cohorts were observed. This study effectively demonstrated the use of an innovative statistical methodology to test a clinical hypothesis using real-world data to perform early target validation for drug discovery. Although there was a trend among patients treated with dimethyl fumarate towards a decreased incidence of type 2 diabetes, cardiovascular disease and chronic kidney disease relative to other disease-modifying therapies-which was statistically significant for the comparison with teriflunomide-this study did not definitively support the hypothesis that Nrf2 activation provided additional metabolic disease benefit in patients with multiple sclerosis.

A machine learning-based algorithm to identify U-500R insulin candidates among adults with type 2 diabetes mellitus in US retrospective databases.

OBJECTIVE: To develop a machine learning-based predictive algorithm to identify patients with type 2 diabetes mellitus (T2DM) who are candidates for initiation of U-500R insulin (U-500R). METHODS: A retrospective cohort of patients with T2DM was used from a large US administrative claims and electronic health records (EHR) database affiliated with Optum. Predictor variables derived from the data were used to identify appropriate supervised machine learning models including least absolute shrinkage and selection operator (LASSO) and extreme gradient boosted (XGBoost) methods. Predictive performance was assessed using precision-recall (PR) and receiver operating characteristic (ROC) area under the curve (AUC). The clinical interpretation of the final model was supported by fitting the final set of variables from the LASSO and XGBoost models to a traditional logistic regression model. Model choice was determined by comparing Akaike Information Criterion (AIC), residual deviances, and scaled Brier scores. RESULTS: Among 81,242 patients who met the study eligibility criteria, 577 initiated U-500R and were assigned to the positive class. Predictors of U-500R initiation included overweight/obesity, neuropathy, HbA1c ≥9% and 8%-9%, BUN 23.8 to <112 mg/dl, ALT 35.9-2056.2 U/L, no radiological chest exams, no GFR labs, and gait/mobility abnormalities. The best performing model was the LASSO model with an ROC AUC of 0.776 on the hold-out test set. CONCLUSION: This study successfully developed and validated a machine learning-based algorithm to identify U-500R candidates among patients with T2DM. This may help health care providers and decision-makers to understand important characteristics of patients who could use U-500R therapies which in turn could support policies and guidelines for optimal patient management.

Effectiveness of Biologics, Patient-Reported Outcomes, and Clinical Photography in a Subset of Patients with Moderate-to-Severe Psoriasis: Week 12 Results from the Psoriasis Study of Health Outcomes (PSoHO).

Purpose: Since skin is highly accessible, clinical photography is a useful tool to visually substantiate the real-world effectiveness outcomes of biologic-treated adults with moderate-to-severe psoriasis (PsO). We report the effectiveness and patient-reported outcomes at Week 12 between anti-interleukin (IL)-17A biologics and other biologics as well as ixekizumab and guselkumab in patients with available clinical photography at baseline and Week 12. Patients and Methods: The Psoriasis Study of Health Outcomes (PSoHO) is an international, non-interventional, cohort study investigating the effectiveness of biologics in adults with moderate-to-severe psoriasis at Week 12. Outcomes included the proportion of patients who achieved 90% improvement in Psoriasis Area and Severity Index (PASI90) and/or static Physician Global Assessment (sPGA) 0/1 (primary endpoint), PASI100, PASI90, Dermatology Life Quality Index (DLQI), and Itch Numeric Rating Scale (NRS) (secondary endpoints) at Week 12. Data are reported descriptively. Results: This analysis included 59 biologic-treated (23 anti-IL-17A; 36 other biologics) patients with available clinical photographs from the overall PSoHO study (n=1981). At baseline, the mean (standard deviation [SD]) age was 45.7 (11.1) years, 71.2% were male, 52.5% were bio-experienced and the median (interquartile range) duration of disease was 10.5 (12.4) years. Mean (SD) PASI was 16.9 (9.3) and sPGA was 3.5 (0.8). At Week 12, 65.2%/47.2% of the anti-IL-17A/other biologics cohort achieved the primary outcome. Response rates for PASI90/100 were numerically higher with anti-IL-17A than with other biologics. Patients receiving anti-IL-17A had numerically better outcomes for DLQI 0/1 and Itch NRS than those receiving other biologics at Week 12. Clinical photographs confirmed skin improvements in ixekizumab- and guselkumab-treated patients. Conclusion: This subgroup analysis showed that anti-IL-17A biologics are effective at rapidly improving signs and symptoms of PsO and improving quality of life. Additionally, serial photography provided visual evidence of biologic treatment response over time.

Comparative Effectiveness, Time to Discontinuation, and Patient-Reported Outcomes with Baricitinib in Rheumatoid Arthritis: 2-Year Data from the Multinational, Prospective Observational RA-BE-REAL Study in European Patients.

INTRODUCTION: RA-BE-REAL is a 3-year, multinational, prospective, observational study of adult patients with rheumatoid arthritis (RA) evaluating time to discontinuation of initial RA treatment along with patient baseline characteristics. This study's primary objective was to assess the time to discontinuation of initial baricitinib, any other targeted synthetic disease-modifying anti-rheumatic drug (tsDMARD), or any biologic disease-modifying anti-rheumatic drug (bDMARD) treatment for all causes (excluding sustained clinical response) over 24 months in a European population. METHODS: Patients initiated treatment with baricitinib (cohort A) or any bDMARD or tsDMARD (cohort B) for the first time. This study's primary objective was to assess the time to discontinuation of initial baricitinib, any other targeted synthetic disease-modifying anti-rheumatic drug (tsDMARD), or any biologic disease-modifying anti-rheumatic drug (bDMARD) treatment for all causes (excluding sustained clinical response) over 24 months in a European population. Comparative effectiveness analyses, over 24 months, included time to treatment discontinuation for all causes (excluding sustained clinical response), percentage of patients achieving Clinical Disease Activity Index (CDAI) remission or low disease activity (LDA), as well as mean changes from baseline for CDAI, pain visual analogue scale, and the Health Assessment Questionnaire-Disability Index (HAQ-DI). For this European subpopulation, comparative analyses were performed using a frequentist model averaging (FMA) framework based on a data-driven machine learning causal inference approach to compare time to discontinuation, effectiveness, rates of remission or LDA, and patient-reported outcomes over 24 months comparing baricitinib with TNFi, as well as non-TNFi and tsDMARD grouped as other mechanism of action (OMA) drugs. RESULTS: In the European sample of RA-BE-REAL, patients with RA treated with baricitinib experienced fewer discontinuations in comparison to those treated with tumour necrosis factor inhibitors or OMA. Overall, patients naïve to b/tsDMARDs achieved a higher rate of LDA and remission compared with experienced patients. A significantly greater proportion of patients treated with baricitinib achieved LDA compared with b/tsDMARDs. CONCLUSION: This real-world data can better inform clinicians about baricitinib effectiveness and drug survival when prescribing treatment for patients with RA across different subpopulations.

Predictors of insulin pump initiation among people with type 2 diabetes from a US claims database using machine learning.

OBJECTIVE: Insulin pump use is increasing among people with type 2 diabetes (T2D), albeit at a slower rate compared to people with type 1 diabetes (T1D). Factors associated with insulin pump initiation among people with T2D in the real-world are understudied. METHODS: This retrospective, nested case-control study aimed to identify predictors of insulin pump initiation among people with T2D in the United States (US). Adults with T2D who were new to bolus insulin use were identified from the IBM MarketScan Commercial database (2015-2020). Candidate variables of pump initiation were entered into conditional logistic regression (CLR) and penalized CLR models. RESULTS: Of the 32,104 eligible adults with T2D, 726 insulin pump initiators were identified and matched to 2,904 non-pump initiators using incidence density sampling. Consistent predictors of insulin pump initiation across the base case, sensitivity, and post hoc analyses included continuous glucose monitor (CGM) use, visiting an endocrinologist, acute metabolic complications, higher count of HbA1c tests, lower age, and fewer diabetes-related medication classes. CONCLUSIONS: Many of these predictors could represent a clinical indication for treatment intensification, greater patient engagement in diabetes management, or proactive management by healthcare providers. Improved understanding of predictors for pump initiation may lead to more targeted efforts to improve access and acceptance of insulin pumps among persons with T2D.

Sintilimab plus chemotherapy for first-line treatment of advanced or metastatic nonsquamous non-small-cell lung cancer: network meta-analysis.

Aim: This systematic literature review and network meta-analysis evaluated the efficacy and safety of sintilimab + pemetrexed + platinum versus US FDA-approved/National Comprehensive Cancer Network-recommended immune checkpoint inhibitor (ICI) combination therapies for untreated advanced/metastatic non-squamous non-small-cell lung cancer without EGFR/ALK aberrations. Methods: Bayesian network meta-analysis was the base-case analysis and included assessment of fixed and random effects, and independent and simultaneous models, adjusting for baseline risk (placebo response). Chemotherapy was the common comparator. Results: Sintilimab + pemetrexed + platinum was associated with significantly longer progression-free survival than atezolizumab + platinum + nab-paclitaxel (hazard ratio [HR]: 0.57; 95% credible interval [CrI]: 0.40-0.82) and nivolumab + ipilimumab + pemetrexed + platinum (HR: 0.66; 95% CrI: 0.48-0.92). Sintilimab + pemetrexed + platinum and pembrolizumab + pemetrexed + platinum showed comparable progression-free survival (HR: 0.96; 95% CrI: 0.71-1.30). There was no significant difference in overall survival (HR range: 0.61-0.81) or overall response rates (odds ratio [OR] range: 0.29-0.75) between sintilimab + pemetrexed + platinum and the other ICI combinations. The incidence of high-grade adverse events was higher with sintilimab + pemetrexed + platinum than with nivolumab + ipilimumab (OR: 0.46; 95% CrI: 0.33-0.64) or without chemotherapy (OR: 0.25; 95% CrI: 0.19-0.34), with no significant difference between sintilimab + pemetrexed + platinum and the other ICI combinations. Conclusion: Sintilimab + pemetrexed + platinum showed comparable efficacy and safety versus US standard-of-care first-line ICI combinations for advanced/metastatic non-squamous non-small-cell lung cancer.

Sintilimab is an immunotherapy drug that was successfully developed and tested in China to treat a kind of lung cancer that has spread, called advanced non-squamous non-small-cell lung cancer (NSCLC). The ORIENT-11 clinical study showed that adding sintilimab to two types of chemotherapy (pemetrexed and platinum) as the first treatment for people in China with advanced non-squamous NSCLC was safe and effective in reducing the risk of cancer spreading, growing or getting worse, compared with chemotherapy alone. Our study combined and analyzed the results from 11 clinical studies to look at how well sintilimab with chemotherapy may work compared with immunotherapy drugs approved in the USA. The results showed that sintilimab with chemotherapy is as effective and safe as immunotherapy drugs approved in the USA to treat people with advanced non-squamous NSCLC. These results may help doctors and payers when deciding how to treat people with this disease.

Comparative Effectiveness of Biologics Across Subgroups of Patients with Moderate-to-Severe Plaque Psoriasis: Results at Week 12 from the PSoHO Study in a Real-World Setting.

INTRODUCTION: In routine clinical care, important treatment outcomes among patients with moderate-to-severe plaque psoriasis (PsO) have been shown to vary according to patient demographics and disease characteristics. This study aimed to provide direct comparative effectiveness data at week 12 between anti-interleukin (IL)-17A biologics relative to other approved biologics for the treatment of PsO across seven clinically relevant patient subgroups in the real-world setting. METHODS: From the international, non-interventional Psoriasis Study of Health Outcomes (PSoHO), 1981 patients with moderate-to-severe PsO were grouped a priori according to seven clinically relevant demographic and disease variables with binary categories, which were sex (male or female), age (< 65 or ≥ 65 years), body mass index (≤ 30 or > 30 kg/m2), race (White or Asian), PsO disease duration (< 15 or ≥ 15 years), psoriatic arthritis (PsA) comorbidity (present or absent), and prior biologic use (never or ≥ 1). Across these subgroups, effectiveness was compared between the anti-IL-17A cohort (ixekizumab, secukinumab) versus all other approved biologics and ixekizumab versus five individual biologics. The proportion of patients in each subgroup who achieved 90% improvement in Psoriasis Area and Severity Index (PASI90) and/or static Physician Global Assessment (sPGA) 0/1, PASI100, or PASI90 at week 12 were assessed. Comparative analyses were conducted using frequentist model averaging (FMA). Missing data were imputed using non-responder imputation. RESULTS: Patients in each of the seven subgroups achieved similar response rates to those of the overall treatment cohort, apart from patients with PsA treated with other biologics who had 7-10% lower response rates. Consequently, patients with comorbid PsA had significantly higher odds of achieving skin clearance at week 12 with anti-IL-17A biologics compared to other biologics. Patients in all subgroups had significantly higher odds of achieving PASI90 and/or sPGA (0,1), PASI100, and PASI90 in the anti-IL-17A cohort relative to the other biologics cohort, except for the Asian subgroup. No sex- or age-specific differences in treatment effectiveness after 12 weeks were identified, neither between the treatment cohorts nor between the individual treatment comparisons. CONCLUSIONS: Despite relative consistency of comparative treatment effectiveness across subgroups, the presence of comorbid PsA may affect a patient's clinical response to some treatments.

Validating the Assumptions of Population Adjustment: Application of Multilevel Network Meta-regression to a Network of Treatments for Plaque Psoriasis.

BACKGROUND: Network meta-analysis (NMA) and indirect comparisons combine aggregate data (AgD) from multiple studies on treatments of interest but may give biased estimates if study populations differ. Population adjustment methods such as multilevel network meta-regression (ML-NMR) aim to reduce bias by adjusting for differences in study populations using individual patient data (IPD) from 1 or more studies under the conditional constancy assumption. A shared effect modifier assumption may also be necessary for identifiability. This article aims to demonstrate how the assumptions made by ML-NMR can be assessed in practice to obtain reliable treatment effect estimates in a target population. METHODS: We apply ML-NMR to a network of evidence on treatments for plaque psoriasis with a mix of IPD and AgD trials reporting ordered categorical outcomes. Relative treatment effects are estimated for each trial population and for 3 external target populations represented by a registry and 2 cohort studies. We examine residual heterogeneity and inconsistency and relax the shared effect modifier assumption for each covariate in turn. RESULTS: Estimated population-average treatment effects were similar across study populations, as differences in the distributions of effect modifiers were small. Better fit was achieved with ML-NMR than with NMA, and uncertainty was reduced by explaining within- and between-study variation. We found little evidence that the conditional constancy or shared effect modifier assumptions were invalid. CONCLUSIONS: ML-NMR extends the NMA framework and addresses issues with previous population adjustment approaches. It coherently synthesizes evidence from IPD and AgD studies in networks of any size while avoiding aggregation bias and noncollapsibility bias, allows for key assumptions to be assessed or relaxed, and can produce estimates relevant to a target population for decision-making. HIGHLIGHTS: Multilevel network meta-regression (ML-NMR) extends the network meta-analysis framework to synthesize evidence from networks of studies providing individual patient data or aggregate data while adjusting for differences in effect modifiers between studies (population adjustment). We apply ML-NMR to a network of treatments for plaque psoriasis with ordered categorical outcomes.We demonstrate for the first time how ML-NMR allows key assumptions to be assessed. We check for violations of conditional constancy of relative effects (such as unobserved effect modifiers) through residual heterogeneity and inconsistency and the shared effect modifier assumption by relaxing this for each covariate in turn.Crucially for decision making, population-adjusted treatment effects can be produced in any relevant target population. We produce population-average estimates for 3 external target populations, represented by the PsoBest registry and the PROSPECT and Chiricozzi 2019 cohort studies.

Comparative effectiveness of biologics in clinical practice: week 12 primary outcomes from an international observational psoriasis study of health outcomes (PSoHO).

BACKGROUND: Clinical trials study treatment outcomes under stringent conditions, capturing incompletely the heterogeneity of patient populations and treatment complexities encountered in real-world practice. OBJECTIVES: To compare the effectiveness of anti-interleukin (IL)-17A biologics relative to other approved biologics in patients with moderate-to-severe psoriasis. METHODS: The Psoriasis Study of Health Outcomes (PSoHO) is an ongoing 3-year observational cohort study in adults with chronic moderate-to-severe plaque psoriasis initiating or switching to a new biologic. Primary study endpoint is the proportion of patients achieving 90% improvement in Psoriasis Area and Severity Index (PASI 90) and/or static Physician Global Assessment (sPGA) 0/1 at Week 12 (W12) in the anti-IL-17A cohort (ixekizumab [IXE], secukinumab) vs. all other approved biologics. Secondary outcomes include the proportion of patients who achieve PASI 75/90/100, absolute PASI scores ≤5, ≤2 and ≤1, Dermatology Life Quality Index (DLQI) score of 0/1 at W12 between the two cohorts and among the individual biologics. Comparative effectiveness analyses were conducted using Frequentist Model Averaging (FMA), a novel causal inference machine learning approach. Missing data for binary outcomes were imputed as non-response. RESULTS: Patient profiles in the anti-IL-17A cohort and other biologics cohort were similar, with more frequent comorbid psoriatic arthritis and less frequent exposure to conventional treatments in the patients receiving anti-IL-17A biologics. At W12, 71.4% of patients who received an anti-IL-17A biologic achieved PASI 90 and/or sPGA 0/1 compared to 58.6% of patients who received other biologics (odds ratios [OR], 1.9; 95% confidence intervals [CI], [1.6, 2.4]). Similar findings were observed for secondary outcomes. CONCLUSIONS: These results reflect the high efficacy and early onset of skin clearance of IL-17A inhibitors observed in randomized clinical trials and confirm the effectiveness of anti-IL-17A biologics in the real-world setting.

The burden of illness of rheumatoid arthritis in Latin America-A systematic literature review.

Rheumatoid arthritis (RA) is a chronic autoimmune disease which, when left untreated, may result in the destruction of multiple joints and damage a wide variety of body systems, including the skin, eyes, lungs, heart, and blood vessels. The objective of this study was to conduct a systematic review of disease burden for RA in Argentina, Brazil, Colombia, Mexico, and Venezuela. PubMed/Medline, Embase, and Web of Science were searched for publications in English, Spanish, or Portuguese from 2008 through June 2018. A total of 1700 records were retrieved and 36 articles were included. The estimated prevalence of RA for these countries ranged from 0.15% (Colombia) to 2.8% (Mexico). The Global Burden of Disease initiative 2019 estimated that RA accounted for 0.13% of world disability-adjusted life-years. For Latin America, these figures were higher: Argentina 0.16%, Brazil 0.16%, Colombia 0.21%, Mexico 0.30%, and Venezuela 0.24%. RA has a negative impact on physical, mental, and emotional well-being as shown by substantially lower scores on measures of quality of life (SF-36) compared with the general population. The annual direct cost in Mexico was estimated at US$3599 per person. For patients with severe RA in Brazil these costs were approximately US$10 000. Data from other studied countries were similar. Though evidence of the full cost and impact of RA in Latin American countries is scarce and additional studies are needed, the burden of RA in these regions is significant and comparable to other parts the world.

Managing patients with advanced soft tissue sarcoma: Evolving landscape from an Australian perspective.

AIM: Despite lack of advances in the first-line systemic therapy, the overall survival (OS) has continued to improve in patients with advanced soft tissue sarcoma (STS) with the recent estimation of median OS at 20 months. Several systemic therapy options are available now for the second-line and beyond, with more treatment tailored to histology and molecular subtype. The aim of this retrospective study was to characterize current patterns of care in managing patients with advanced STS (aSTS) in Australia. METHODS: Sarcoma databases from 7 Australian sarcoma services were accessed to identify patients diagnosed with locally advanced inoperable and/or metastatic STS between January 1, 2010 and December 31, 2015. Baseline clinicopathological factors and initial treatment patterns were descriptively analyzed. For the Victorian cohort where treatment of aSTS and follow-up details were available, further exploratory analysis was conducted to determine the impact of patient and tumor characteristics and the use of palliative-intent treatment OS. RESULTS: Of 2261 cases of STS, 671 were deemed as aSTS. Two thirds were relapsed disease with a mean 1.9 years from initial diagnosis. Median age at diagnosis of aSTS was 59 years (18-95 years) and 56.3% was male. Histology classification revealed four main subtypes: undifferentiated pleomorphic sarcoma (UPS) (23.1%), leiomyosarcoma (18.2%), liposarcoma (12.8%), synovial sarcoma (8.2%), and other comprising 14 STS subtypes. For the Victorian cohort (N = 361), approximately 80% of patients accessed palliative-intent treatment of various modalities. Nearly 40% of patients underwent tumor-debulking surgery or metastasectomy, of which lung wedge resection was the most common (N = 83, 47.7%). A total of 438 palliative-intent radiotherapy treatments were delivered to 259 patients (71.7%), with the majority in the form of external beam radiotherapy. Palliative-intent systemic therapy was delivered to 51.5% of patients (N = 186), mostly (73%). Anthracycline-based therapy was the most commonly delivered therapy (N = 135, 72.6%). Approximately half of the patients in each line of therapy failed to proceed to the subsequent line of systemic therapy with 29.4% receiving three or more lines of therapy (N = 55). A total of 18.3% of patient (N = 34) participated in clinical trials or accessed off-label drugs. The median OS for the Victoria cohort was 15.4 months (95% confidence interval: 12.1, 18.2). The UPS histology subtype was associated with poorer OS, whereas receiving any modality of palliative-intent treatment conferred survival benefit. CONCLUSION: In Australia, aSTS is managed with diverse treatment approaches comprising various therapy modalities. Further work is planned in describing healthcare resource utilization and estimating costs by this patient cohort.

Comparing Real-World Effectiveness of Dulaglutide and Insulin as the First Injectable for Patients with Type 2 Diabetes: An Australian Single-Site Retrospective Chart Review.

AIM: To compare the real-world effectiveness of once-weekly dulaglutide 1.5 mg with insulin in injectable-naïve patients with type 2 diabetes mellitus (T2DM). METHODS: A non-interventional, non-randomised, observational, single-site retrospective chart review enrolled 150 patients, 75 receiving dulaglutide or insulin. Data were collected from electronic medical records of patients with T2DM who were initiated on insulin between October 2010 and May 2017, and patients initiated on dulaglutide between May 2018 and October 2019. A doubly robust approach was used to adjust for potential selection bias with augmented inverse probability weights used to estimate the average treatment effect. RESULTS: HbA1c favoured dulaglutide with an average change of - 1.6% vs - 0.8% for insulin, with an average treatment effect difference of 0.8% (95% confidence interval (CI) 0.4-1.2%) at 3 months. At 6 months, 58.7% of the dulaglutide group reached a target HbA1c of ≤ 7% compared with 20.0% of the insulin group: average treatment effect difference of 21.3% (95% CI 2.7-43.1). The dulaglutide group lost 2.4 kg compared to the insulin group which gained 2.0 kg: average difference of 4.4 kg (95% CI 2.6-7.3) at 6 months. The incidence of hypoglycaemic events was 12 (16.0%) occurrences in the dulaglutide group compared to 33 (44.0%) in the insulin group. CONCLUSION: Once-weekly dulaglutide demonstrated greater HbA1c reduction, weight loss and reduced hypoglycaemia compared to insulin, in a real-world practice setting.

A subset analysis of efficacy and safety outcomes from phase 3 clinical studies of ixekizumab for the treatment of patients with severe plaque psoriasis.

BACKGROUND: Factors beyond the Psoriasis Area and Severity Index (PASI) contribute to disease severity in psoriasis and potentially affect treatment responses. OBJECTIVE: This subset analysis of data from two phase 3 clinical studies assessed baseline parameters in patients with different degrees of psoriasis severity in order to determine treatment responses to ixekizumab and safety outcomes. METHODS: This study used integrated data from the UNCOVER-2 and -3 trials involving 2709 patients with chronic plaque psoriasis to assess the efficacy and safety of ixekizumab in three subgroups of patients, defined by PASI > 15 (group 1), PASI > 15 and history of ≥3 non-biologic systemic therapies (group 2), or PASI = 12-15 (group 3). RESULTS: In groups 1 and 2, additional baseline features were identified that could influence treatment responses, including age at disease onset, Dermatology Life Quality Index, and work productivity. Irrespective of subgroup, ixekizumab demonstrated high PASI responses at weeks 12 and 60, which were evident as early as week 2. Adverse events did not differ across subgroups. CONCLUSION: Our data support the efficacy, early onset of action, and maintained response of ixekizumab as observed in previous trials, and highlight the complexity of comprehensively defining disease severity in psoriasis.

The Effect of Teriparatide Treatment on the Risk of Fragility Fractures in Postmenopausal Women with Osteoporosis: Results from the Asian and Latin America Fracture Observational Study (ALAFOS).

The Asian and Latin America Fracture Observational Study (ALAFOS) is a prospective, observational, single-arm study conducted in 20 countries across Asia, Latin America and the Middle East. ALAFOS evaluated new clinical vertebral and non-vertebral fragility fractures in relation to time on teriparatide, in postmenopausal women with osteoporosis in real-life clinical practice. Clinical fragility fractures, back pain, and health-related quality of life (HRQoL) were recorded in 6-month intervals for ≤ 24 months during teriparatide treatment and up to 12-months post-treatment. Data were analysed with piecewise exponential regression with inverse probability weighting for time to event outcomes and mixed-model repeated measures for back pain and HRQoL. 3054 postmenopausal women started teriparatide and attended ≥ one follow-up visit (mean [SD] age 72.5 [10.4] years). The median (95% CI) time to treatment discontinuation was 22.0 months (21.2, 22.8). During the treatment period, 111 patients (3.6%) sustained 126 clinical fractures (2.98 fractures/100 patient-years). Rates of new clinical fragility fractures were significantly decreased during the > 6-12, > 12-18, and > 18-24-month periods, as compared with the first 6 months of treatment (hazard ratio [HR] 0.57; 95% CI 0.37, 0.88; p = 0.012; HR 0.35; 95% CI 0.19, 0.62; p < 0.001; HR 0.43; 95% CI 0.23, 0.83; p = 0.011; respectively). Patients also reported an improvement in back pain and HRQoL (p < 0.001). These results provide data on the real-world effectiveness of teriparatide in the ALAFOS regions and are consistent with other studies showing reduction of fractures after 6 months of teriparatide treatment. These results should be interpreted in the context of the noncontrolled design of this observational study.

Burden of Disease for Psoriasis in Argentina, Brazil, Colombia, and Mexico.

OBJECTIVES: Psoriasis (PsO) is a chronic, inflammatory, multisystem disease with predominantly skin and joint manifestations. The disease is also associated with lower quality of life, lower work productivity, and higher healthcare costs. The objective of this study was to conduct a systematic literature review of the disease burden for PsO in Argentina, Brazil, Colombia, and Mexico. METHODS: PubMed/MEDLINE, Web of Science, SciELO, and LILACS were searched for publications in English, Spanish, or Portuguese from 2003 to July 2018. RESULTS: A total of 680 records were retrieved and 13 articles were included. In Latin America, PsO has a negative impact on the physical and mental well-being as shown by substantially lower scores on measures of quality of life (eg, 12-item Short-Form Health Survey) for patients than the general population. Patients with PsO reported higher levels of presenteeism, activity impairment, and work productivity loss. The estimated annual costs per patient with PsO in Colombia were $3497.58 and $2160.92 for the private sector and public scenario, respectively. CONCLUSIONS: Although evidence on the full cost and impact of PsO in Latin America is scarce and further research is needed, the burden in these regions is significant and comparable with that in other parts of the world.

Costs and resource use of community-dwelling patients with Alzheimer's disease in Japan: 18-month results from the GERAS-J study.

OBJECTIVE: To determine the longitudinal societal costs and burden of community-dwelling patients with Alzheimer's disease (AD) and their caregivers in Japan. METHODS: GERAS-J was an 18-month, prospective, longitudinal, observational study. Using the Mini-Mental State Examination (MMSE), patients routinely visiting memory clinics were stratified into groups based on AD severity at baseline (mild, moderate, and moderately severe/severe [MS/S]). Healthcare resource utilization and caregiver burden were assessed using the Resource Utilization in Dementia and Zarit "Caregiver" Burden Interview questionnaires, respectively. Total monthly societal costs were estimated using Japan-specific unit costs of services and products (patient direct healthcare use, patient social care use, and informal caregiving time). RESULTS: Overall, 553 patients (156 mild; 209 moderate; 188 MS/S) were enrolled. MMSE scores declined (1.73, 1.38, and 0.95 points for the mild, moderate, and MS/S AD groups, respectively) and caregiver burden and resource utilization increased over 18 months in each of the AD severity groups. Cumulative total societal costs per patient over 18 months were 3.1, 3.8, and 5.3 million Japanese yen (29,006, 35,662, and 49,725 USD) for mild, moderate, and MS/S AD, respectively. Both patient social care costs and caregiver informal care costs increased with baseline disease severity, with >50% of total costs due to caregiver informal care in each disease severity subgroup. CONCLUSIONS: Total treatment costs increased with AD severity over 18 months due to increases in both patient social care costs and caregiver informal care costs. Our data suggest current social care services in Japan are insufficient to alleviate the negative impact of AD on caregiver burden.

Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making.

BACKGROUND: Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. METHODS: This systematic literature review was conducted to identify published observational research of employed machine learning to inform decision making at the patient-provider level. The search strategy was implemented and studies meeting eligibility criteria were evaluated by two independent reviewers. Relevant data related to study design, statistical methods and strengths and limitations were identified; study quality was assessed using a modified version of the Luo checklist. RESULTS: A total of 34 publications from January 2014 to September 2020 were identified and evaluated for this review. There were diverse methods, statistical packages and approaches used across identified studies. The most common methods included decision tree and random forest approaches. Most studies applied internal validation but only two conducted external validation. Most studies utilized one algorithm, and only eight studies applied multiple machine learning algorithms to the data. Seven items on the Luo checklist failed to be met by more than 50% of published studies. CONCLUSIONS: A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.

Cost per cumulative clinical benefit of biologic therapies for patients with plaque psoriasis: a systematic review.

BACKGROUND: Measuring cumulative clinical treatment benefit over time captures speed and magnitude of effects. Assessing the cost of biologics relative to their cumulative clinical benefits versus a single time point represents an alternative to evaluate the value of a given biologic used to treat psoriasis. OBJECTIVE: To compare cumulative benefit and cost per cumulative benefit of biologics in treatment of moderate to severe psoriasis from a network meta-analysis (NMA). METHODS: Biologics included in the analysis were ixekizumab, adalimumab, guselkumab, ustekinumab, secukinumab, risankizumab, and certolizumab pegol. Psoriasis Area and Severity Index (PASI) responses over the initial 16-week treatment period were obtained from 31 articles. Cumulative benefits for PASI 75, PASI 90, and PASI 100 responses were measured as area under the curve (AUC) using the trapezoidal method. Bayesian-based NMA modeled percent maximum AUC through week 16 (%Max_AUCW16). The AUC estimates over 16 weeks were converted to total skin clearance threshold days achieved for PASI 75, PASI 90, and PASI 100 with each biologic. Cost per cumulative benefit was estimated by multiplying number of doses (per FDA label) by nationally representative discounted wholesale acquisition costs (WACs) for 16 weeks of treatment divided by %Max_AUCW16. The primary cost analysis used WACs, including week 16 doses. Co-primary cost analysis used discounted WACs, including week 16 doses. Sensitivity analysis was conducted using WACs and discounted WACs, excluding doses administered at week 16. RESULTS: Among biologics with available week 16 AUC data for PASI 90 and PASI 100, cumulative benefits over the initial 16-week treatment period ranged from 20.2% (certolizumab pegol) to 47.0% (ixekizumab) for PASI 90 and from 7.4% (adalimumab) to 22.2% (ixekizumab) for PASI 100. The total number of estimated PASI 90 and PASI 100 days achieved over the first 16 weeks of treatment was highest with ixekizumab (53 days and 25 days, respectively). In the primary analysis, guselkumab had the lowest cost per cumulative benefit (95% credible interval [CrI]; $99,742 [$89,941-$111,653]), followed by ixekizumab ($108,906 [$95,928-$126,093]) and adalimumab ($111,233 [$97,549-$129,022]) for PASI 90, and ixekizumab had the lowest cost per cumulative benefit ($230,884 [$191,611-$291,115]), followed by secukinumab ($238,945 [$204,029-$288,072]) and risankizumab ($279,968 [$250,683-$316,872]) for PASI 100 responses. In the co-primary analysis, ixekizumab had the lowest discounted cost per AUC (95% CrI; $60,988 [$53,719-$70,612]), followed by guselkumab ($66,827 [$60,260-$74,807]) and secukinumab ($69,622 [$61,783-$79,786]) for PASI 90, and ixekizumab had the lowest cost per cumulative benefit ($129,295 [$107,302-$163,024]), followed by secukinumab ($148,146 [$126,498-$178,605]) and guselkumab ($188,190 [$166,791-$215,969]) for PASI 100 responses. Conclusions: Among biologics studied, ixekizumab demonstrated the greatest cumulative clinical benefit, maintaining the lowest cost per cumulative benefit for PASI 100 responses and lowest discounted cost per cumulative benefit for PASI 90 and PASI 100 responses for moderate to severe psoriasis over the initial 16-week treatment period. DISCLOSURES: This study was funded by Eli Lilly and Company (Indianapolis, IN). Blauvelt has served as a scientific adviser and/or clinical study investigator for AbbVie, Aclaris, Almirall, Arena, Athenex, Boehringer Ingelheim, Bristol-Myers Squibb, Dermavant, Dermira, Eli Lilly and Company, Forte, Galderma, Incyte, Janssen, Leo, Novartis, Ortho, Pfizer, Rapt, Regeneron, Sandoz, Sanofi Genzyme, Sun Pharma, and UCB Pharma and as a paid speaker for AbbVie. Burge, Zhu, Malatestinic, Brnabic, Guo, and Janardhanan are employees and shareholder of Eli Lilly and Company.

Multilevel network meta-regression for population-adjusted treatment comparisons.

Standard network meta-analysis (NMA) and indirect comparisons combine aggregate data from multiple studies on treatments of interest, assuming that any effect modifiers are balanced across populations. Population adjustment methods relax this assumption using individual patient data from one or more studies. However, current matching-adjusted indirect comparison and simulated treatment comparison methods are limited to pairwise indirect comparisons and cannot predict into a specified target population. Existing meta-regression approaches incur aggregation bias. We propose a new method extending the standard NMA framework. An individual level regression model is defined, and aggregate data are fitted by integrating over the covariate distribution to form the likelihood. Motivated by the complexity of the closed form integration, we propose a general numerical approach using quasi-Monte-Carlo integration. Covariate correlation structures are accounted for by using copulas. Crucially for decision making, comparisons may be provided in any target population with a given covariate distribution. We illustrate the method with a network of plaque psoriasis treatments. Estimated population-average treatment effects are similar across study populations, as differences in the distributions of effect modifiers are small. A better fit is achieved than a random effects NMA, uncertainty is substantially reduced by explaining within- and between-study variation, and estimates are more interpretable.