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.

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.

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.

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%).

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.

BackgroundIn 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.MethodsPatients 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).ResultsA 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 < .0001), and baseline depression severity (HDRS17: 24.4 vs 22.0, p < .0001) vs non-TRD patients. During follow-up, TRD patients had lower health-related quality of life (HRQOL) scores on mental (30 vs 45.7) and physical components (47.7 vs 48.9) of the SF12, and lower Q-LES-Q scores (43.6 vs 63.7), greater functional and work impairments and productivity loss vs non-TRD patients (all p < 0.05).ConclusionPatients with TRD had worse HRQOL, work productivity, and social functioning than the non-TRD patients.

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.

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