Hybrid hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity.

Shared information content is represented across brains in idiosyncratic functional topographies. Hyperalignment addresses these idiosyncrasies by using neural responses to project individuals' brain data into a common model space while maintaining the geometric relationships between distinct patterns of activity or connectivity. The dimensions of this common model capture functional profiles that are shared across individuals such as cortical response profiles collected during a common time-locked stimulus presentation (e.g. movie viewing) or functional connectivity profiles. Hyperalignment can use either response-based or connectivity-based input data to derive transformations that project individuals' neural data from anatomical space into the common model space. Previously, only response or connectivity profiles were used in the derivation of these transformations. In this study, we developed a new hyperalignment algorithm, hybrid hyperalignment, that derives transformations based on both response-based and connectivity-based information. We used three different movie-viewing fMRI datasets to test the performance of our new algorithm. Hybrid hyperalignment derives a single common model space that aligns response-based information as well as or better than response hyperalignment while simultaneously aligning connectivity-based information better than connectivity hyperalignment. These results suggest that a single common information space can encode both shared cortical response and functional connectivity profiles across individuals.

Patient Characteristics and Healthcare Resource Utilization Among Patients with COPD New to LAMA/LABA Fixed-Dose Combination Treatment in US-Based Real-World Practice.

Introduction: This retrospective, observational cohort study utilized an integrated dataset from an electronic health records system and a claims database to describe demographic and clinical characteristics, healthcare resource utilization (HCRU), and treatment patterns in COPD patients initiating long-acting muscarinic antagonist (LAMA)/long-acting ß2-agonist (LABA) fixed-dose combination (FDC) treatment in the USA. Methods: Patients were aged ≥40 years and had a COPD diagnosis (Practice Fusion system) and ≥1 prescription of LAMA/LABA FDC therapy, with an index date (first prescription) 1 May 2014-31 December 2017. For the HCRU analysis, patients had ≥2 claims from the Symphony Health database within 12 months before index. All analyses of outcomes relating to demographic and clinical characteristics, HCRU, and treatment patterns were descriptive. Results: Patients initiating LAMA/LABA FDCs (n=8224) had a mean age of 67.9 years, 52.8% were female, and mean BMI was 29.2 kg/m2. The most common comorbidities were cardiovascular disease (74.3%), hypertension (64.0%), and hyperlipidemia (45.6%). In the 12 months prior to index, 53.1% of patients had used inhaled therapy: 23.4% short-acting therapy only, 16.7% short-acting and maintenance therapy, and 13.1% maintenance therapy only. Amongst users of inhaled therapies, the pMDI was the most frequently used device (64.3%, n=2812/4370). Of 7050 patients included in the HCRU analysis, 79.8% had COPD-related costs; mean cost/patient was $4174. Mean COPD-related costs per patient for moderate and severe exacerbations were $910 and $23,208, respectively. Per-patient costs included $23,032 for inpatient visits, $2358 for emergency visits, $4432 for outpatient visits, and $1989 for pharmacy claims. Conclusion: This observational study is the first to describe the real-world demographic and clinical characteristics and HCRU of patients initiating LAMA/LABA FDC treatment in the USA. Patients were generally elderly and overweight, with comorbidities of CVD, hypertension, and hyperlipidemia. Inpatient visits were the largest contributor to COPD-related costs per patient in the year prior to initiation of LAMA/LABA FDCs.

Clinical And Economic Burden Of Eosinophilic COPD In A Large Retrospective US Cohort.

Purpose: We sought to describe clinical and economic outcomes for COPD patients by blood eosinophil (EOS) count. Methods: This retrospective cohort study of COPD patients used data from the Practice Fusion electronic medical records (EMR) database linked to Symphony Health Solutions transactional pharmacy, medical, outpatient, and inpatient claims data to evaluate COPD-related and all-cause health care resource utilization and cost in the 12-month period following the date of each patient's greatest recorded blood eosinophil count during the 27-month period from January 2014 to March 2016. A post-index moderate exacerbation was defined as an outpatient or emergency care visit for COPD and a prescription for oral corticosteroid and/or antibiotics within 10 days of the visit. Severe exacerbation was defined as an inpatient hospitalization with COPD as primary diagnosis. Results: Of 48,090 EMR patients, 39,939 (83.1%) had a charge in the claims data both pre- and post-index (mean age 67.2 years, 58.3% female), 17,397 (43.6%) had EOS ≥220 cells/µL. Moderate and severe exacerbations were more frequent for patients with EOS≥220 cells/µL compared with those with EOS <220 cells/µL (moderate: 6.8% vs 6.1%, p<0.05; severe: 3.1% vs 2.5%, p<0.001). After adjustment for baseline clinical characteristics, each 100-unit increase in EOS count was associated with a significant 2.24% increase in total all-cause costs and 4.54% increase in total COPD-related costs (p<0.001 for both). COPD-related costs were significantly greater for patients with an EOS count of ≥220 cells/µL compared with those with EOS <220 cells/µL (p<0.001). These costs appear to have been driven by a greater percentage of patients in the ≥220 cells/µL cohort with COPD-related resource use including hospitalization, office visits, ambulatory procedures and pharmacy prescriptions. Conclusion: COPD patients with EOS counts ≥220 cells/µL were more likely to have had moderate or severe exacerbations and greater cost of care than those with EOS <220 cells/µL.

Characteristics Associated with the Choice of First Injectable Therapy Among US Patients With Type 2 Diabetes.

PURPOSE: The objective of this retrospective observational study was to describe and identify clinical and demographic characteristics associated with the choice of first injectable therapy (glucagon-like peptide-1 receptor agonist [GLP-1-RA] or basal insulin) among patients with type 2 diabetes mellitus (T2DM). METHODS: This analysis included adults naive to injectable therapy with T2DM who initiated a GLP-1-RA or basal insulin (index date) between November 2014 and February 2016 using data from the Practice Fusion Electronic Health Record database. Patients with T2DM, ≥1 office visit between 6 and 18 months before the index date, and with ≥1 glycosylated hemoglobin (HbA1c) result in the 6-month preindex (baseline) period were included. A generalized boosted regression model was used to determine the patient characteristics most influential in the selection of a GLP-1-RA or basal insulin as first injectable therapy. Sensitivity analysis was performed by using bootstrapped logistic regression. FINDINGS: The study included 3546 and 7507 GLP-1-RA and basal insulin initiators, respectively. At baseline, GLP-1-RA initiators were significantly younger (mean, 58 vs 63 years), had lower HbA1c values (mean, 8.2% vs 9.1%), lower Diabetes Complications Severity Index (DCSI) scores (mean, 1.0 vs 1.7), and a higher body mass index (BMI) (mean, 36 vs 33 kg/m2) compared with basal insulin initiators. Variables selected by using the generalized boosted regression model with the highest relative importance (≥5%) in the selection of GLP-1-RA or basal insulin were HbA1c level (20.43%), BMI (17.73%), age (12.21%), prior prescription of a sodium-glucose cotransporter-2 inhibitor (9.17%), and DCSI score (8.39%). The same variables, as well as race, were selected by using stepwise logistic regression in all the bootstrapped samples. Patients who were older (adjusted odds ratio [OR], 0.975 [95% CI, 0.971-0.979]) and had higher HbA1c values (OR, 0.741 [95% CI, 0.721-0.761]) and DCSI scores (OR, 0.870 [95% CI, 0.848-0.892]) were significantly less likely to be prescribed a GLP-1-RA compared with basal insulin. Patients with higher BMI (OR, 1.046 [95% CI, 1.040-1.053]) and previous prescription of sodium-glucose cotransporter-2 inhibitors (OR, 2.633 [95% CI, 2.224-2.982]) were significantly more likely to be prescribed a GLP-1-RA. IMPLICATIONS: The clinically relevant differences observed between the 2 patient populations suggest that GLP-1-RAs and basal insulin are prescribed to different types of patients with T2DM. Examining patients' demographic and clinical characteristics may be important in assisting physicians in the choice of patient-centered injectable treatment regimens.