Search

As real-world data (RWD) become more readily available, the regulatory agencies, medical product developers, and other key stakeholders have increasing interests in exploring the use of real-world ...

Real-world data (RWD), such as electronic health records, reimbursement requests as adjudicated by health insurance companies, and health survey data as collected by government agencies or other re...

Objective: To evaluate response to esketamine nasal spray plus an oral antidepressant (ESK + AD) at day 28 in patients with major depressive disorder (DSM-5) and treatment-resistant depression (TRD) who did not meet response criteria within the first week of treatment. Methods: The current study is a pooled post hoc analysis of two phase 3, double-blind, active-controlled studies, conducted between August 2015 and February 2018, comparing ESK + AD with an oral antidepressant plus placebo (AD + PBO). Early treatment response was defined as a ≥ 50% decrease in Montgomery-Asberg Depression Rating Scale total score at day 2 or days 2 and 8. Response rates at day 28 were determined among those not meeting early response criteria. Results: 518 patients in the analysis had day 28 observations (ESK + AD, n = 310; AD + PBO, n = 208). A greater percentage of patients treated with ESK + AD versus AD + PBO met response criteria beginning at day 2 (17.3% [55/318] vs 9.4% [19/203]) and at all subsequent timepoints, including day 28 (58.7% [182/310] vs 45.2% [94/208]). In day 2 nonresponders, 54.9% vs 44.3% (ESK + AD vs AD + PBO, respectively) achieved response at day 28 (P

BackgroundThe interleukin-23p19-subunit inhibitor guselkumab effectively treats signs and symptoms of psoriatic arthritis (PsA). We evaluated the effect of guselkumab on fatigue.MethodsAcross two phase 3 trials of guselkumab (DISCOVER-1, DISCOVER-2), patients with active PsA despite standard therapy were randomized to subcutaneous injections of guselkumab 100 mg every 4 weeks (Q4W,N= 373); guselkumab 100 mg at week 0, week 4, and then Q8W (N= 375); or placebo (N= 372) through week 24, after which patients in the placebo group crossed over to guselkumab Q4W. Fatigue was measured as a secondary endpoint using the Functional Assessment of Chronic Illness Therapy (FACIT)-Fatigue instrument (range 0–52, higher scores indicate less fatigue). Least-squares mean changes in FACIT-Fatigue scores were compared between treatments using a mixed-effect model for repeated measures. Mediation analysis was used to adjust for indirect effects on fatigue deriving from improvement in other outcomes, including ≥20% improvement in American College of Rheumatology criteria (ACR20; prespecified), minimal disease activity (MDA; post hoc), or C-reactive protein (CRP; post hoc).ResultsBaseline mean (SD) FACIT-Fatigue scores in DISCOVER-1 (N= 381) and DISCOVER-2 (N= 739), ranging from 29.1 (9.5) to 31.4 (10.1), indicated substantial levels of fatigue relative to the United States general population (43.6 [9.4]). Across studies, mean improvements, and proportions of patients with ≥4-point improvements, in FACIT-Fatigue scores at week 24 with guselkumab Q4W and Q8W (5.6–7.6 and 54–63%, respectively) were larger vs placebo (2.2–3.6 and 35–46%). Improvement in FACIT-Fatigue scores with guselkumab was sustained from week 24 to week 52, with moderate-to-large effect sizes (Cohen’sd= 0.52–0.81 at week 24; 0.66–0.91 at week 52). Mediation analyses demonstrated that substantial proportions of the effects of guselkumab vs placebo on fatigue were direct effect, after adjusting for achievement of ACR20 (Q4W 69–70%, Q8W 12–36% direct effect) or MDA (72–92% across dosing regimens) response or for change in serum CRP concentrations (82–88% across dosing regimens).ConclusionsIn patients with active PsA, guselkumab 100 mg Q4W or Q8W led to clinically meaningful and sustained improvements in fatigue through 1 year. A substantial portion of the improvement in FACIT-Fatigue scores induced by guselkumab was independent of effects on the achievement of other select outcomes.Trial registrationName of the registry: ClinicalTrials.govTrial registrations: DISCOVER-1, NCT03162796; DISCOVER-2, NCT03158285Date of registration: DISCOVER-1, May 22, 2017; DISCOVER-2, May 18, 2017URLs of the trial registry record:DISCOVER-1,https://clinicaltrials.gov/ct2/show/NCT03162796?term=NCT03162796&draw=1&rank=1DISCOVER-2,https://clinicaltrials.gov/ct2/show/NCT03158285?term=NCT03158285&draw=2&rank=1

Background Data on opioid use in patients with inflammatory bowel disease and the relationship between disease, opioid use, and healthcare resource utilization are needed. Methods This analysis of real-world data from IBM Watson Health Commercial Claims and Encounters Database included patients with the first claim of inflammatory bowel disease (IBD) between 2007 and 2014. Results Opioid use was higher in patients with IBD than in the matched non-IBD cohort. Adjusted for age, gender, and Charlson Comorbidity Index score, inpatient and emergency room visits risk was higher in opioid users than non-users in both IBD cohorts. Conclusions Opioid use could be a potential surrogate for inadequate disease control manifested by increased inpatient and emergency room visit risks. These results suggest a need exists for better disease management and the development of an outcomes measurement tool for IBD pain.

Background. Chronic obstructive pulmonary disease (COPD) prevalence in Canada has risen over time. COPD-related exacerbations contribute to the increased health care utilization (HCU) in this population. This study investigated the impact of exacerbations on COPD-related HCU. Methods. This retrospective observational cohort study used patient data from the Québec provincial health insurance databases. Eligible patients with a new HCU claim with a diagnostic billing for COPD during 2001–2010 were followed until March 31, 2011. Exacerbation rates and time to first exacerbation were assessed. Unadjusted analyses and multivariable models compared the rate of HCU by exacerbation classification (any [moderate/severe], moderate, or severe). Results. The exacerbation event rate in patients with an exacerbation was 34.3 events/100 patient-years (22.7 for moderate exacerbations and 11.6 for severe exacerbations). Median time to first exacerbation of any classification was 37 months. In unadjusted analyses, COPD-related HCU significantly increased with exacerbation severity. In the multivariable, HCU rates were significantly higher after exacerbation versus before exacerbation (p<0.01) for patients with an exacerbation or moderate exacerbations. For severe exacerbations, general practitioner, respiratory specialist, emergency room, and hospital visits were significantly higher after exacerbation versus before exacerbation (p<0.001). Conclusions. Exacerbations were associated with increased HCU, which was more pronounced for patients with severe exacerbations. Interventions to reduce the risk of exacerbations in patients with COPD may reduce disease burden.

Includes additional text describing the patient sample, the descriptive statistics for the E-RS and wheeze item, and the results of the inter-item correlations, factor analysis and known-groups validity by primary diagnosis. Descriptive statistics for the E-RS and wheeze item scores for Day − 1 and Day 28 and the EFA at Day − 1 for E-RS with and without the wheeze item in the overall population and by primary diagnosis of asthma and COPD are also described. (DOCX 87 kb)

Background:DISCOVER 1 & 2 are phase-3 trials of guselkumab (GUS, an IL-23 inhibitor) in patients with psoriatic arthritis (PsA). In both trials, treatment with GUS led to significantly more improvement than placebo (PBO) in the primary endpoint (American College of Rheumatology 20% improvement criteria [ACR20]) and in other measures of arthritis and psoriasis at week (w) 24,1,2 and these improvements were maintained through 1 year of active treatment.3,4Objectives:To evaluate the effect of GUS on fatigue in DISCOVER 1 & 2 using the patient reported outcome (PRO) FACIT-Fatigue, which has demonstrated content validity and strong psychometric properties in clinical trials.5Methods:DISCOVER 1 & 2 enrolled patients with active PsA, despite non-biologic DMARDS or NSAIDS, who were biologic naïve except ~30% of patients in DISCOVER 1 who had received 1-2 TNFi. Patients were randomized (1:1:1) in a blinded fashion to subcutaneous GUS 100 mg at w0, w4, then every (q) 8w; GUS 100 mg q4w; or matching PBO. At w24, PBO patients were switched to GUS q4w. Concomitant treatment with select non-biologic DMARDS, oral corticosteroids, and NSAIDs was allowed. The FACIT-Fatigue is a 13-item PRO assessing fatigue and its impact on daily activities and function over the past 7 days, total score ranging from 0 to 52, higher score denoting less fatigue. A change of ≥4 points is considered clinically meaningful.5 The change from baseline in FACIT-Fatigue presented below is based on observed data. Mediation analysis6 was applied to the treatment effect of GUS on FACIT-Fatigue to estimate the natural direct and indirect effects, after adjusting for ACR20 response (Table 1).Results:At baseline in DISCOVER 1 & 2, the mean FACIT-fatigue scores (SD) were 30.4 (10.4) and 29.7 (9.7), respectively, indicating that patients with PsA experienced fatigue worse than the general population. At w24 in the DISCOVER trials, treatment with GUS led to significant improvements in FACIT-Fatigue scores compared with PBO, as early as w16 in DISCOVER 1 and w8 in DISCOVER 2. Improvements in fatigue were similar between GUS q4w and q8w doses, and the improvements at w24 were maintained through w52 (Figure 1). After a switch to GUS q4w at w24, PBO patients achieved FACIT-Fatigue scores that were comparable to those of GUS patients (Figure 1). 54%-63% of GUS patients compared with 35%-46% of PBO patients achieved clinically meaningful improvement (≥4 points) in FACIT-Fatigue at w24 (P≤0.003). At w52, 61%-70% of both GUS and PBO to GUS groups reached this improvement. As evaluated by mediation analysis at w24, GUS had independent positive treatment effects on fatigue (12%-36% in the q8w GUS dosing group and 69%-70% in the q4w GUS group) after adjustment for ACR20 response (Table 1).Conclusion:In 2 phase-3 trials, GUS treatment improved fatigue when compared to PBO during PBO-controlled periods and maintained improvements through 1 year of active treatment. Substantial proportions of those effects were independent of the effects on ACR20, especially for the q4W dosing group.References:[1]Deodhar et al. Lancet 2020;395:1115[2]Mease et al. Lancet 2020;395:1126[3]Ritchlin et al. EULAR20. SAT0397[4]McInnes et al. EULAR20. SAT0402[5]Cella et al. J Patient-Reported Outcomes 2019;3:30[6]Valeri et al. Psychologic Meth 2013;18:137Table 1.Mediation Analysis: Guselkumab Has Direct Effects and Indirect Effects (Mediated through ACR20) on Fatigue in PsAEffectGUS 100 mg q8w vs. PBO (95% CI)GUS 100 mg q4w vs. PBO (95% CI)DISCOVER-1Total Effect3.1 (1.0, 5.2)(p3.8 (1.9, 5.4)(p% Direct Effect11.7%68.5%% Indirect effect mediated by ACR2088.3%31.5%DISCOVER-2Total Effect4.0 (2.4, 5.5)(p3.6 (2.1, 5.0)(p% Direct Effect36.3%69.7%% Indirect effect mediated by ACR2063.7%30.3%ACR, American College of Rheumatology; CI, confidence interval; GUS, guselkumab; PBO, placebo; PsA, psoriatic arthritis; q4W, every 4 weeks; q8W, every 8 weeksDisclosure of Interests:Proton Rahman Speakers bureau: Received speakers fees from Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, Pfizer, Grant/research support from: Received grant/research support from Janssen and Novartis, consultation fees from Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, and Pfizer, Philip Helliwell Consultant of: Consultation fees paid to charity (AbbVie, Amgen, Pfizer, UCB) or himself (Celgene, Galapagos), Grant/research support from: Received grants/research support paid to charity (AbbVie, Janssen, Novartis), Atul Deodhar Speakers bureau: Received speakers fees from AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Consultant of: Received consultation fees from AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Grant/research support from: Received grant/research support from AbbVie, Eli Lilly, GSK, Novartis, Pfizer, UCB, Alexa Kollmeier Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Elizabeth C Hsia Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Bei Zhou Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Xiwu Lin Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Chenglong Han Shareholder of: Shareholder of Johnson & Johnson, Employee of: Employee of Janssen Research & Development, LLC, Philip J Mease Speakers bureau: Received speakers fees from Abbott, Amgen, Biogen Idec, BMS, Eli Lilly, Genentech, Janssen, Pfizer, UCB, Consultant of: Received consultation fees from Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB, Grant/research support from: Received grant/research support from Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB.

Systemic corticosteroids are a leading cause of drug-related complications, yet little has been done to quantify the dose-response relationship between systemic corticosteroid exposure and complications in patients with severe asthma.To (a) evaluate the risk of developing systemic corticosteroid-related complications by corticosteroid exposure in severe asthma and (b) quantify the associated health care resource utilization and costs.This is a retrospective study using administrative claims data from a large commercial database between 2003 and 2014. Multivariate generalized estimating equation models were used to compare corticosteroid-related complications in patients continuously exposed to at least 5 mg of prednisone or equivalent for ≥ 6 months with a 1:1 ratio of propensity score-matched patients with asthma who did not use corticosteroids.A total of 12,697 corticosteroid users and as many matched nonusers were identified. The odds of developing associated complications increased significantly in a dose-dependent manner with systemic corticosteroid exposure: odds ratios were 2.50, 2.95, and 3.32 (P values0.05) for low (defined as5 mg/day), medium (≥ 5-10 mg/day), and high (10 mg/day) exposure, respectively, relative to no exposure. Health care resource utilization increased significantly with levels of systemic corticosteroid exposure. Hence, incidence rate ratios for inpatient visits with low, medium, and high exposure relative to none were estimated to be 1.86, 2.40, and 3.37, respectively (P0.05).A significant dose-response relationship was found between the long-term use of systemic corticosteroids and the risk of developing systemic corticosteroid-related complications in patients with severe asthma, resulting in increased burden and costs on the health care system that intensified with systemic corticosteroid exposure.Funding for this study was provided by GlaxoSmithKline, Study number H0-15-15930, to Analysis Group for the conduct of this study. Lefebvre, Duh, and Gozalo are employees of Analysis Group, a contract research organization that has received research grants from GlaxoSmithKline. Robitaille was employed by Analysis Group at the time of this study. Yancey, Forshag, Lin, and Albers are employees of GlaxoSmithKline and own company stock. Dalal and Ortega were employed by GlaxoSmithKline at the time of this study. Lefebvre had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Additionally, all listed authors meet the criteria for authorship set forth by the International Committee for Medical Journal Editors. Study concept and design were contributed by Dalal, Duh, Albers, Yancey, Ortega, Forshag, and Lefebvre. Data acquisition was by Dalal, Gozalo, Robitaille, Forshag, and Lefebvre and was analyzed and interpreted by Dalal, Gozalo, Robitaille, Albers, Yancey, Ortega, Forshag, and Lefebvre. The manuscript was drafted and approved by Dalal, Duh, Gozalo, Robitaille, Albers, Yancey, Ortega, Forshag, Lin, and Lefebvre.

Background:DISCOVER 1 and 2 are phase-3 trials of guselkumab (GUS, a monoclonal antibody that specifically binds the p19-subunit of IL-23) in patients with psoriatic arthritis (PsA). In both trials, treatment with GUS led to significantly more improvement than placebo (PBO) in the primary endpoint (ACR20) as well as in other measures of arthritis and psoriasis at week (W) 24.1,2Objectives:To evaluate the effect of GUS on fatigue in DISC 1 & 2 using the patient reported outcome (PRO) FACIT-Fatigue, which has demonstrated content validity and strong psychometric properties in clinical trials.3Methods:DISC 1 & 2 enrolled patients with active PsA, despite nonbiologic DMARDS and/or NSAIDS, who were mostly biologic naïve except for ~30% of patients in DISC 1 who had received 1-2 TNFi. Patients were randomized (1:1:1) in a blinded fashion to subcutaneous GUS 100 mg at W0 and W4 then every (q) 8W, to GUS 100 mg q4W, or to matching PBO. Concomitant treatment with select non-biologic DMARDS, oral corticosteroids, and NSAIDs was allowed. The FACIT-Fatigue is a 13-item PRO instrument assessing fatigue and its impact on daily activities and function over the past seven days, with a total score ranging from 0 to 52, higher score denoting less fatigue. A change of ≥4 points is identified as clinically meaningful.3Change from baseline in FACIT-Fatigue was analyzed using MMRM (Figure). Independence of treatment effect on FACIT-Fatigue from effect on ACR20 was assessed using Mediation Analysis4(Table) to estimate the natural direct effect (NDE) and natural indirect effect (NIE) mediated by ACR20 response.Results:At baseline in DISC 1 & 2, the mean FACIT-fatigue scores (SD) were 30.4 (10.4) and 29.7 (9.7), respectively, indicating moderate to severe fatigue. In both DISCOVER 1 & 2 trials, treatment with GUS led to improvements in FACIT-Fatigue scores compared with PBO as early as W8 (Figure). 54%-63% of GUS patients compared with 35%-46% of PBO patients achieved clinically meaningful improvement (≥4 points) in FACIT-Fatigue (P≤0.003). Mediation analysis revealed that the independent treatment effects on fatigue after adjustment for ACR20 response (Natural Direct Effect [NDE], Table) were 12-36% in the q8W GUS dosing group and 69% -70% in the q4W GUS group.Conclusion:In 2 phase-3 trials, treatment with GUS of patients with active PsA led to significant improvements compared to PBO in fatigue, including substantial effects on FACIT-Fatigue that were independent of the effects on ACR 20, especially for the q4W dosing group.References:[1]Deodhar et al. ACR 2019. Abstract #807. Arthr Rheumatol. 2019;71 S10: 1386[2]Mease et al. ACR 2019. Abstract # L13. Arthr Rheumatol. 2019;71 S10:5247[3]Cella et al. Journal of Patient-Reported Outcomes. 2019;3:30[4]Valeri et al. Psychologic Meth. 2013;18:137Table.Mediation Analysis of the Effect of ACR 20 Response on Change from Baseline in FACIT-Fatigue Score at Week 24EffectGUS 100 mg q8W vs. PBOEstimate (95% CI)GUS 100 mg q4W vs. PBOEstimate (95% CI)DISCOVER 1NDE0.36 (-1.7, 2.4)2.60 (0.6, 4.5)*NIE2.75 (1.4, 4.3)*1.20 (0.3, 2.3)*Total Effect3.12 (1.0, 5.2)*3.79 (1.9, 5.4)*Proportion Independent11.7%68.5%Proportion Mediated88.3%31.5%DISCOVER 2NDE1.44 (-0.1, 3.0)2.49 (1.0, 4.1)*NIE2.53 (1.6, 3.6)*1.09 (0.4, 1.9)*Total Effect3.97 (2.4, 5.5)*3.58 (2.1, 5.0)*Proportion Independent36.3%69.7%Proportion Mediated63.7%30.3%*P vs placeboNDE=Natural Direct Effect (effect on FACIT-F beyond effect on ACR20), NIE=Natural Indirect Effect (effect on FACIT-F mediated by ACR20)Mediation analysis4used linear and logistics regression models with Bootstrapping methodAcknowledgments:NoneDisclosure of Interests:Philip Helliwell: None declared, Proton Rahman Grant/research support from: Janssen and Novartis, Consultant of: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, and Pfizer., Speakers bureau: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, Pfizer, Atul Deodhar Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Alexa Kollmeier Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Elizabeth C Hsia Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Bei Zhou Shareholder of: Johnson & Johnson, Employee of: Janssen Research & Development, LLC, Xiwu Lin Employee of: Janssen Research & Development, LLC, Chenglong Han Employee of: Janssen Research & Development, LLC, Philip J Mease Grant/research support from: Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB – grant/research support, Consultant of: Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB – consultant, Speakers bureau: Abbott, Amgen, Biogen Idec, BMS, Eli Lilly, Genentech, Janssen, Pfizer, UCB – speakers bureau

Background In the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study, a third of patients did not achieve remission or adequate response after two treatment trials, fulfilling requirements for treatment resistant depression (TRD). The present study is a secondary analysis of the STAR*D data conducted to compare the humanistic outcomes in patients with TRD and non-TRD MDD. Methods Patients with major depressive disorder who entered level 3 of the STAR*D were included in the TRD group, while patients who responded to treatment and entered follow-up from level 1 or 2 were included in the non-TRD group. The first visit in level 1 was used for baseline assessments. The time-point of assessments for comparison was the first visit in level 3 for TRD patients (median day: 141), and the visit closest to 141 ± 60 days from baseline for non-TRD patients. Outcomes were assessed by the 12-item Short Form Health Survey (SF12), 16-item Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q), Work and Social Adjustment Scale (WSAS), and Work Productivity and Activity Impairment scale (WPAI). Scores were compared in a linear model with adjustment for covariates including age, gender, and depression severity measured by the 17-item Hamilton Rating Scale for Depression (HDRS17) and Quick Inventory of Depressive Symptomatology (QIDS). Results A total of 2467 (TRD: 377; non-TRD: 2090) patients were studied. TRD patients were slightly older (mean age 44 vs 42 years), had a higher proportion of men (49% vs 37%, p

Background The Evaluating Respiratory Symptoms in Chronic Obstructive Pulmonary Disease (E-RS:COPD) is a patient-reported diary that assesses respiratory symptoms in stable COPD. Methods This post hoc analysis of a randomized, double-blind, parallel-arm trial (GSK ID: 200699; NCT02164539) assessed the structure, reliability, validity and responsiveness of the E-RS, and a separate wheeze item, for use in patients with a primary diagnosis of asthma or COPD, but with spirometric characteristics of both (fixed airflow obstruction and reversibility to salbutamol; a subset of patients referred to as spirometric asthma-COPD overlap [ACO]; N = 338). Results Factor analysis demonstrated that E-RS included Cough and Sputum, Chest Symptoms, and Breathlessness domains, with a Total score suitable for quantifying overall respiratory symptoms (comparative fit index: 0.9), consistent with the structure shown in COPD. The wheeze item did not fit the model. Total and domain scores were internally consistent (Cronbach’s alpha: 0.7–0.9) and reproducible (intra-class correlations > 0.7). Moderate correlations between RS-Total and RS-Breathlessness scores were observed with St George’s Respiratory Questionnaire (SGRQ) Total and Activity domain scores at baseline (r = 0.43 and r = 0.48, respectively). E-RS scores were sensitive to change when a patient global impression of change and SGRQ change scores were used to define responders, with changes of ≥ − 1.4 in RS-Total score interpreted as clinically meaningful. Conclusions E-RS:COPD scores were reliable, valid and responsive in this sample, suggesting the measure may be suitable for evaluating the severity of respiratory symptoms and the effects of treatment in patients with asthma and COPD that exhibit spirometric characteristics of both fixed airflow obstruction and reversibility. Further study of this instrument and wheeze in new samples of patients with ACO is warranted. Electronic supplementary material The online version of this article (10.1186/s12931-019-1070-6) contains supplementary material, which is available to authorized users.

Objective To report long‐term health‐related quality of life (HRQoL) and fatigue outcomes in patients with systemic lupus erythematosus (SLE) receiving belimumab. Methods Patients with SLE who completed the Study of Belimumab in Subjects with SLE 76‐week trial (BLISS‐76) were enrolled in this continuation study (BEL112233 [ClinicalTrials.gov identifier: NCT00724867]). The belimumab groups continued to receive the same dose (1 mg/kg or 10 mg/kg) intravenously. After March 2011, all patients received belimumab 10 mg/kg every 28 days plus standard therapy. The placebo group switched to belimumab 10 mg/kg. HRQoL and fatigue assessments included the Short Form 36 (SF‐36) health survey and the Functional Assessment of Chronic Illness Therapy (FACIT)–Fatigue subscale. Post hoc subgroup analyses (BEL206350) assessed clinical characteristics associated with improved HRQoL and fatigue. Results Of the 268 patients enrolled, 140 completed the study. Patients receiving long‐term belimumab treatment reported continued improvements in HRQoL and fatigue. At study year 6, the mean ± SD SF‐36 physical component summary (PCS) score and the mental component summary (MCS) score increased from 37.0 ± 9.9 at baseline to 41.7 ± 10.0 (mean ± SD change 4.8 ± 9.4) and from 44.3 ± 11.3 to 47.0 ± 11.6 (mean ± SD change 2.7 ± 11.3) for the PCS and MCS, respectively, exceeding the minimum clinically important difference (MCID) for improvement (2.5 units). The mean ± SD FACIT–Fatigue score exceeded the MCID of 4 at study years 1–5; at study year 6, the mean ± SD change was 3.7 ± 11.8. Statistically significant associations were observed between parent trial treatment groups and change from baseline in PCS, MCS, and FACIT–Fatigue scores (P < 0.01). Conclusion Long‐term control of SLE disease activity with belimumab plus standard therapy translates into meaningful improvements in patient‐reported fatigue and HRQoL.

Objective: Systemic glucocorticoids (SGCs) are a treatment option for severe asthma but are associated with the development of adverse events (AEs). Evidence on the extent of SGC use and the relationship between SGC dose and AE risk in severe asthma is limited. Methods: Patients with severe asthma (Global Initiative for Asthma step 4/5), with no SGC use during the Results: Overall, 75% of 60,418 patients identified with severe asthma received SGC during the 8-year follow-up, with the majority receiving an average of >0–≤2.5 mg/day. The risk of diabetes (hazard ratio [HR]:1.20 [95% confidence interval (CI): 1.11, 1.30]), MI (HR: 1.25 [95% CI: 1.09, 1.43]) and osteoporosis (HR: 1.64 [95% CI: 1.51, 1.78]) was increased at low SGC doses (0–2.5 mg/day), with further risk increases at doses >2.5 mg/day versus no SGC use. Compared with no SGC use, SGC increased the risk of peptic ulcer in a non-dose-dependent manner, but the risk of stroke was unchanged. Conclusions: Most patients with severe asthma are exposed to SGC, which increases SGC-related AE risk. This suggests that SGC exposure should be minimized as recommended by asthma treatment guidelines.

Asthma medication ratio (AMR) ≥ 0.5 has been shown to predict asthma exacerbations. This study explores the impact of increasing or decreasing inhaled corticosteroid/long-acting beta-agonist (ICS/LABA) use over a 7-year period on achieving an AMR of ≥ 0.5.To (a) assess the impact of increasing use of ICS/LABAs on changes in a modified AMR (mAMR) and (b) examine asthma risk over time as measured by an mAMR over a 7-year period, adjusting for differences in baseline characteristics.This is a retrospective, observational study using pharmacy and medical claims from a medical group from January 1, 2003, to December 31, 2010. All patients with ≥ 1 asthma diagnosis (ICD-9-CM, 493.xx) with ≥ 1 inhaled asthma medication dispensed in each year of eligibility were included. The mAMR = total ICS controllers dispensed/(total ICS controllers dispensed + albuterol dispensed). The proportion of ICS/LABA use was determined as the number of ICS/LABA canisters dispensed/(total of ICS/LABA + ICS dispensed). Generalized linear mixed models were used to assess the effect of incremental change in ICS/LABA use on mAMR over 7 years, adjusting for differences in resource utilization, time, and asthma medication use. Nine hundred ninety patients (mean age [± SD] 34.7 years [± 18.2], 61.7% female) met all criteria. Overall, mean mAMR increased over time, while mean albuterol use decreased over time. Adjusting for covariates, we found that a 10% increase in ICS/LABA use was associated with a 9% increase (adjusted OR = 1.09, 95% CI = 1.06-1.12) in the likelihood of achieving an mAMR ≥ 0.5, while a 50% increase in ICS/LABA use was associated with a 53% increase (OR = 1.53, 95% CI = 1.31-1.80) in the likelihood of achieving an mAMR ≥ 0.5.Increase in ICS/LABA use over time in a population of asthma patients was significantly associated with a higher likelihood of achieving an mAMR ≥ 0.5.

Background: Little is known about respiratory symptom severity in patients with elements of asthma and COPD. Aims and objectives: Assess the psychometric properties of the Evaluating Respiratory Symptoms in COPD (E-RS™) tool for evaluating respiratory symptoms in patients with features of asthma and COPD, and the impact of primary diagnosis. Methods: In post hoc analyses of a 4-week trial (N=328; primary diagnosis: COPD n=179, asthma n=149), E-RS total and subscale score properties were assessed: item and scale characteristics, reliability, validity and responsiveness. Patients had post-bronchodilator (BD) FEV 1 ≥50% and ≤80% predicted and reversible, fixed airflow obstruction (FEV 1 increase ≥12% and ≥0.200 L post-salbutamol; pre- and post-BD FEV 1 /FVC ratio Results: At Day (D) -1 and 28, item responses and scale ranges had minimal ceiling effects. Confirmatory factor analysis indicated adequate fit; internal consistency and test-retest reliability were acceptable (Table). Moderate correlations with SGRQ score and rescue use (Table), and significant differences in E-RS and subscale scores by dyspnoea status, support construct and discriminant validity. Mean E-RS total score change for patients reporting mild improvement (global scale): -1.44. Results were consistent based on primary diagnosis. Conclusion: The E-RS may be used to assess respiratory symptoms in patients with features of asthma and COPD. Funding: GSK: HO-15-16166

Purpose Identifying drug-induced liver injury is a critical task in drug development and postapproval real-world care. Severe liver injury is identified by the liver chemistry threshold of alanine aminotransferase (ALT) >3× upper limit of normal (ULN) and bilirubin >2× ULN, termed Hy's law by the Food and Drug Administration. These thresholds require discontinuation of the causative drug and are seldom exceeded in most patient populations. However, because maintenance of therapy is critical in the treatment of advanced cancer, customized thresholds may be useful in oncology patient populations, particularly for those with baseline liver chemistries elevations. Methods Liver chemistry data from 31 aggregated oncology clinical trials were modeled through a truncated robust multivariate outlier detection (TRMOD) method to develop the decision boundary or threshold for examining liver injury in oncology clinical trials. Results The boundary of TRMOD identified outliers with an ALT limit 5.0× ULN and total bilirubin limit 2.7× ULN. In addition, TRMOD was applied to the aggregated oncology data to examine fold-baseline ALT and total bilirubin, revealing limits of ALT 6.9× baseline and bilirubin 6.5× baseline. Similar ALT and bilirubin threshold limits were observed for oncology patients both with and without liver metastases. Conclusions These higher liver chemistry thresholds examining fold-ULN and fold-baseline data may be valuable in identifying potential severe liver injury and detecting liver safety signals of clinical concern in oncology clinical trials and postapproval settings while helping to avoid premature discontinuation of curative therapy. Copyright © 2013 John Wiley & Sons, Ltd.

Although systemic glucocorticoids (SGCs) are efficacious, their chronic use is associated with a range of complications. Yet limited data are available about the risks following chronic use in patients with severe asthma, who are at risk of long-term SGC-related complications. This study was carried out to investigate the risks of developing SGC-related complications, and to quantify the associated healthcare resource utilization and costs for patients with severe asthma in the United States.This was a longitudinal, open-cohort, observational study. Medicaid claims data (1997-2013) for patients ≥12 years old with ≥2 asthma diagnoses were used. A total of 26,987 SGC non-users were identified for inclusion in the study, alongside 3628 SGC users with ≥6 months' continuous SGC use.Multivariate generalized estimating equation models were used to estimate the adjusted risk of developing SGC-related complications, and to quantify the associated healthcare resource utilization and costs. This analysis compared SGC users with SGC non-users, and found that SGC users had an increased likelihood of developing complications. A significant dose-response relationship was demonstrated between chronic SGC use and risk of developing any complications (odds ratios for low, medium, and high SGC exposure were 2.03 [p = .0511], 2.85 [p .0001], and 3.64 [p .0001], respectively, vs. SGC non-users). The increased likelihood of SGC-related complications translated into estimated annual healthcare costs for SGC users of $2712 to $8560 above those of SGC non-users. A key limitation of this study is the disparity in age between the SGC users and the SGC non-users; however, age was included as a confounding factor in the analysis.These findings confirm the risk associated with chronic use of SGCs, irrespective of dose level, and highlight the need for new SGC-sparing treatment strategies for patients with severe asthma.

To describe the healthcare burden associated with not escalating patients with COPD managed with LAMA or LABA monotherapy or LAMA/LABA dual therapy to ICS/LAMA/LABA following a moderate or severe exacerbation. This observational study utilised medical claims from the Quebec Provincial Health Insurance administrative database. Included were patients ≥40 years of age with an incident diagnosis of COPD (during 2002–2011) receiving a respiratory medicine within 2 weeks of a COPD claim and treated with a LAMA, LABA or LAMA/LABA without a preceding moderate or severe exacerbation. Multivariate-adjusted outcomes included incidence density rates for moderate or severe COPD exacerbations and healthcare utilisation, stratified by escalation to ICS/LAMA/LABA triple therapy following an exacerbation. Overall, 19,198 (49.5%) patients experienced COPD exacerbations. Of these, 1,136 (5.9%) were escalated to triple therapy following an exacerbation. Compared with patients switched to triple therapy, those not escalated experienced increased mean incidence density rates (per 100 person-years) for future exacerbations (any: 0.21 vs 0.18, p Failure to escalate to ICS/LAMA/LABA triple therapy following an exacerbation results in increased exacerbations, ER visits and concomitant medication use in patients with COPD. Funded by GSK: HO-13-14097.

Targeted designs based on the use of predictive biomarkers for patient enrollment have been used to increase the study efficiency. We consider the problem of efficiency of targeted design when the targeted subgroup is defined by a predictive biomarker or classifier. Here we incorporate the predictive performance of a biomarker or classifier to predict a responsive subgroup in the sample size evaluation for targeted design. Predictive performance metrics such as PPV and NPV of a predictive biomarker can usually be best estimated from preclinical studies, such as cell line panel screening. In this article, we focus on sample size calculations for clinical trial studies with time-to-event endpoint. Different assumptions on the treatment and control effects for the subgroups of patients are assumed. Patients’ accrual rate and losses to follow-up are incorporated in the sample size calculation. Simulations are used to check the performance of the sample size formulas. Also, the efficiency of a targeted versus ...

Recent analysis of microarray data has focused on identifying groups of genes that show statistically significant changes in their expression activity. Using annotation databases, genes are grouped into predefined sets based on common characteristics, such as location or biological function. Here, we present an approach to analyzing gene expression data termed a Shrinkage Approach to Gene-set Analysis (SAGA), which addresses a critical issue that has been largely ignored. While previous studies have recognized the importance of correlations among individual genes, gene sets have been treated as noninteracting, independent entities. However, the gene sets themselves are strongly correlated due to their overlapping nature, and can even exhibit perfect dependencies. To handle both the issues of inter-gene and inter-gene-set correlations, we propose a method based on the shrinkage estimator of partial correlation (Schafer and Strimmer 2005) and a weighted-mean statistic to summarize gene sets. We demonstrate ...

In high-dimensional data analyses, such as in microarray experiments, the false discovery rate (FDR) has been widely used as an appropriate method to control false positive error rate, and some progress has been made on the issue of sample size calculation. However, there is still lack of a simple and practically useful method for routine use.This article investigates the power and the related problem of sample size determination methods for current FDR controlling procedures under a mixture model involving independent test statistics. An approach is proposed where one can use traditional sample size calculation for a single hypothesis with appropriately adjusted Type I error rate. This adjustment is based on a simple relationship between the desired FDR and power level and the individual Type I error rate. Simulation results show that our approach can be applied successfully under both an independence assumption and certain commonly used correlation structures.

Atherogenic dyslipidemia, manifest by low HDL-cholesterol and high TG levels, is an important component of ATP-III defined metabolic syndrome. Here, we dissected the phenotypic and genetic architecture of these traits by assessing their relationships with other metabolically relevant measures, including plasma adipo-cytokines, highly sensitive C-reactive protein (hsCRP) and LDL particle size, in a large family data set (n = 2800) and in an independent set of dyslipidemic cases (n = 716) and normolipidemic controls (n = 1073). We explored the relationships among these phenotypes using variable clustering and then estimated their genetic heritabilities and cross-trait correlations. In families, four clusters explained 61% of the total variance, with one adiposity-related cluster (including hsCRP), one BP-related cluster, and two lipid-related clusters (HDL-C, TG, adiponectin and LDL particle size; apoB and non-HDL-C). A similar structure was observed in dyslipidemic cases and normolipidemic controls. The genetic correlations in the families largely paralleled the phenotype clustering results, suggesting that common genes having pleiotropic effects contributed to the correlations observed. In summary, our analyses support a model of metabolic syndrome with two major components, body fat and lipids, each with two subcomponents, and quantifies their degree of overlap with each other and with metabolic-syndrome related measures (adipokines, LDL particle size and hsCRP).

Many patients with severe asthma require maintenance treatment with systemic corticosteroids (SCSs) to control daily symptoms and prevent serious acute exacerbations, but chronic SCS use is associated with complications.We sought to evaluate the risk of SCS-related complications by SCS exposure and quantify the associated health care costs and resource use in patients with severe asthma.We performed a longitudinal, open-cohort, observational study using health insurance claims data (1997-2013: Medicaid) from Florida, Iowa, Kansas, Missouri, Mississippi, and New Jersey. Eligible patients were 12 years old or older with 2 or more asthma diagnoses and had more than 6 months of continuous SCS use. An open-cohort approach was used to classify patients' follow-up into low, medium, and high SCS exposure (≤ 6,6-12, and12 mg/d, respectively). Multivariate generalized estimating equation models were used to estimate the adjusted risk of SCS-related complications for patients with medium and high exposure compared with patients with low exposure and quantify the resulting health care resource use and costs.The study included 3628 patients (mean age, 57.6 years; 68% female). Patients with medium and high SCS exposure had significantly higher risks of SCS-related complications, including infections and cardiovascular, metabolic, psychiatric, ocular, gastrointestinal, and bone-related complications (odds ratio, 1.23-2.12 by complication; P.05 for all but one) versus those with low (reference group) SCS exposure. Medium and high SCS exposure were also associated with significantly more emergency department visits (incidence rate ratios, 1.31 [P = .0004] and 1.78 [P.0001]) and inpatient visits (incidence rate ratios, 1.25 [P.0001] and 1.59 [P.0001]) versus low SCS exposure.A significant dose-response relationship was demonstrated between chronic SCS use and risk of SCS-related complications in patients with severe asthma. Effective SCS-sparing strategies might reduce the burden associated with SCS-related complications in patients with severe asthma.

Feature selection is one of the most important research topics in high dimensional array data analysis. We propose a two-way filtering based method that utilizes a pair of statistics coupled with rigorous cross-validation to identify the most informative features from different types of distributions. We evaluate the utility of the proposed adaptive feature selection method on six MicroArray Quality Control Phase II (MAQC-Π) datasets. The results show that our method yields models with significantly fewer features and can achieve comparable or superior classification performance compared to models generated from other feature selection methods, suggesting high quality feature selection.

Identifying drug-induced liver injury is a critical task in drug development and postapproval real-world care. Severe liver injury is identified by the liver chemistry threshold of alanine aminotransferase (ALT)3× upper limit of normal (ULN) and bilirubin2× ULN, termed Hy's law by the Food and Drug Administration. These thresholds require discontinuation of the causative drug and are seldom exceeded in most patient populations. However, because maintenance of therapy is critical in the treatment of advanced cancer, customized thresholds may be useful in oncology patient populations, particularly for those with baseline liver chemistries elevations.Liver chemistry data from 31 aggregated oncology clinical trials were modeled through a truncated robust multivariate outlier detection (TRMOD) method to develop the decision boundary or threshold for examining liver injury in oncology clinical trials.The boundary of TRMOD identified outliers with an ALT limit 5.0× ULN and total bilirubin limit 2.7× ULN. In addition, TRMOD was applied to the aggregated oncology data to examine fold-baseline ALT and total bilirubin, revealing limits of ALT 6.9× baseline and bilirubin 6.5× baseline. Similar ALT and bilirubin threshold limits were observed for oncology patients both with and without liver metastases.These higher liver chemistry thresholds examining fold-ULN and fold-baseline data may be valuable in identifying potential severe liver injury and detecting liver safety signals of clinical concern in oncology clinical trials and postapproval settings while helping to avoid premature discontinuation of curative therapy.

AIMS/HYPOTHESIS Several susceptibility genes for type 2 diabetes have been discovered recently. Individually these genes increase the disease risk only minimally. The goals of the present study were to determine at the population level the risk of diabetes in individuals who carry risk alleles within several susceptibility genes for the disease and the added value of this genetic information over the clinical predictors. METHODS We constructed an additive genetic score using the most replicated single nucleotide polymorphisms (SNPs) within 15 type 2 diabetes susceptibility genes weighting each SNP with its reported effect. We tested this score in the extensively phenotyped population based cross sectional CoLaus Study in Lausanne Switzerland (n = 5360) involving 356 diabetic individuals. RESULTS The clinical predictors of prevalent diabetes were age BMI family history of diabetes WHR and triacylglycerol/HDL cholesterol ratio. After adjustment for these variables the risk of diabetes was 2.7 (95 CI 1.8 4.0 p = 0.000006) for individuals with a genetic score within the top quintile compared with the bottom quintile. Adding the genetic score to the clinical covariates improved the area under the receiver operating characteristic curve slightly (from 0.86 to 0.87) yet significantly (p = 0.002). BMI was similar in these two extreme quintiles. CONCLUSIONS/INTERPRETATION In this population a simple weighted 15 SNP based genetic score provides additional information over clinical predictors of prevalent diabetes. At this stage however the clinical benefit of this genetic information is limited.

A new type of test is presented for genome-wide association studies using a case-control design. It is referred to as the adaptive two-stage (ATS) analysis, being based on both the Hardy-Weinberg disequilibrium trend test (HWDTT) and the Cochran-Armitage trend test (CATT). The procedure for the ATS is to screen single-nucleotide polymorphisms (SNPs) using the HWDTT in a first stage, and then test a reduced number of SNPs that pass the screening step in a second stage using the CATT. In the Genetic Analysis Workshop 15 simulated data set, this ATS analysis captured, after Bonferroni correction, the region from 32447.149 kb to 32859.819 kb and the region around 37363.880 kb that are close to the actual trait loci on chromosome 6. We compared the ATS with other ways of combining the p-values of the HWDTT and the CATT, the classical form of Fisher's test and a weighted form of Fisher's test. Results showed that the proposed ATS has good performance and could detect the regions containing a susceptibility locus.

Peroxisome proliferator-activated receptor gamma (PPARgamma) agonists are highly effective in the treatment of type 2 diabetes. In some patients, PPARgamma ligands are associated with fluid retention/oedema, for which the mechanism is not fully understood. A pharmacogenetic study was undertaken to investigate effects of variations in 21 candidate genes related to epithelial sodium channel (ENaC) pathways on oedema. This study used DNA samples collected from type 2 diabetes phase III clinical trials of the PPARgamma agonist farglitazar (administered alone or in combination with insulin or glyburide) and investigated oedema reported as an adverse event as phenotype. Initial case-control analysis of oedema identified candidate gene single nucleotide polymorphisms with significant associations. These included three polymorphisms in ENaCbeta subunit (SCNN1B) that showed significant associations (P0.05) with the two combination treatments in discrete regions of the gene, but not farglitazar treatment alone. Sequencing of SCNN1B in 207 Caucasian participants receiving farglitazar plus insulin or glyburide combination therapies, identified additional polymorphisms that were also significantly associated with oedema (P0.0005) and maintained the treatment-regional associations. Further covariate analysis accounting for clinical factors influencing oedema supported these observations. One of the SCNN1B polymorphisms, at position -405 of the 5' flanking region (rs34241435), was predicted to modify transcriptional interactions and in a transfected COS cell luciferase reporter gene assay exhibited higher promoter activity. These exploratory studies provide clinical pharmacogenetic and functional genomic evidence to support a pivotal role for ENaC regulation in PPARgamma-induced oedema and provide insight into mechanisms and possible management of this side effect.

High throughput technologies such as microarray, mass spectrometry and nuclear magnetic resonance, have generated large volumes of valuable data for biology research. Researchers often face the challenges of integrating data from different sources and of identifying potential biomarkers that are highly associated with disease, drug safety, and efficacy. We present several solutions to these challenges through two Affymetrix microarray studies aimed at providing new insights into lung cancer biology. The Harvard dataset and the Michigan dataset were integrated to identify genes that were predictive of cancer survival. Quantile normalization of expression measures was applied to make the two datasets comparable. Genes highly associated with survival were identified and survival tree analysis on the combined data was performed to predict mortality. The candidate genes could be useful for lung cancer disease prediction and cancer therapy. The methodologies for integration and analysis of multiple gene expression data have been shown to perform well and could be generalized to broader applications.

There are many data mining techniques for processing and general learning of multivariate data. However, we believe the wavelet transformation and latent variable projection method are particularly useful for spectroscopic and chromatographic data. Projection based methods are designed to handle hugely multivariate nature of such data effectively. For the actual analysis of the data we have used latent variable projection methods such as principal component analysis (PCA) and partial least squares projection to latent structures based discriminant analysis (PLS-DA) to analyze the raw data presented to the participants of the First Duke Proteomics Data Mining Conference. PCA was used to solve problem #1 (clustering problem) and the PLS-DA was used to solve problem #2 (classification problem). The idea of internal and external cross-validation was used to validate the model obtained from the classification analysis. The simple two-component PLS-DA model obtained from the analysis performed well. The model has completely separated the two groups from all the data. The same model applied on two-thirds of the data showed good performance by external validation with independent test set of remaining 13 specimens obtained by setting aside the spectra of every third specimen (accuracy of 85%).