Economic Burden of Itch-Related Sleep Loss in Moderate-to-Severe Atopic Dermatitis in the United Kingdom.

INTRODUCTION: Atopic dermatitis is associated with intense itch, which has been shown to cause sleep disruption that significantly impacts the lives of patients with atopic dermatitis. Despite this, little is known about its burden to the healthcare system and society. This study aimed to quantify the economic burden of itch-related sleep loss in moderate-to-severe atopic dermatitis in the UK. METHODS: A literature-based decision-analytic model was developed from a healthcare payer and societal perspective. The model quantifies the economic burden by linking the severity of itch to the number of days of sleep disruption. The model captures the direct costs of healthcare resource utilization and treatment alongside the indirect costs of productivity loss from absenteeism and presenteeism at work over a 5-year time horizon. The patient population considered was patients aged ≥ 15 years with moderate-to-severe atopic dermatitis and itch-related sleep disruption. RESULTS: The model estimated that itch-related sleep disruption as a result of moderate-to-severe atopic dermatitis would affect an average of 821,142 people over the time horizon (2022 to 2026). This translates into an average net economic burden of £3.8 billion (£4687 per patient), with an average of 172 million days being affected by sleep disruption per year in the UK. The greatest contributor to the annual average net economic burden was productivity loss from absenteeism and presenteeism, each accounting for 34%. The direct costs (treatment costs and healthcare resource use) accounted for 32% of the net economic burden. The results showed a high and gradually increasing economic burden over the 5-year time horizon. CONCLUSIONS: Sleep disruption has a high economic burden and reducing itch may provide substantial direct and indirect savings. Quantifying the economic burden of itch-related sleep loss may provide support for analyses to inform public health policies for treatment of atopic dermatitis, particularly within the moderate-to-severe level.

Muscle mass, strength, power and physical performance and their association with quality of life in older adults, the Study of Muscle, Mobility and Aging (SOMMA).

Background: Sarcopenia negatively impacts quality of life. It is unclear whether different measures of muscle size, strength, physical performance, and fitness have similar associations with quality of life. Objective: To describe associations of sarcopenia metrics with quality of life outcomes. Participants: Community-dwelling adults aged 70+ years participating in the SOMMA (Study of Muscle, Mobility and Aging) study. Design and settings: Two academic medical centers. Measurements: Measures included muscle size (MRI- muscle volume. D3Cr muscle mass); strength and power (grip strength, leg extension power and strength); walking and physical performance (4m and 400m walk, SPPB (Short Physical Performance Battery), stair climb, chair stand); fitness (VO2 peak); health related quality of life (EQ-5D); and anthropometrics (weight, height, and body mass index).Results were stratified by sex. Correlations, scatterplots and linear regression models described the association between various measures of sarcopenia and fitness with overall quality of life score (EQ5D VAS) as a continuous variable. We also quantified differences between sarcopenia and fitness measures by overall QOL (Quality of Life) as a categorical variable (low, medium, high) and by QOL subcomponents (pain and discomfort, problems with usual activities, mobility, anxiety and depression, and problems with self-care) using distributionally appropriate methods. Results: Walking tests and physical performance were most consistently (but modestly) associated with overall quality of life (r~0.2, p<.001) and its subcomponents. Both men and women several sarcopenia and fitness measures were more strongly associated with pain and usual activity than other QOL components. Conclusions: Poor performance, lower fitness and lower strength are related to worse quality of life, particularly pain, in older adults. Future studies should quantify these relationships longitudinally.

Development of white matter fiber covariance networks supports executive function in youth.

During adolescence, the brain undergoes extensive changes in white matter structure that support cognition. Data-driven approaches applied to cortical surface properties have led the field to understand brain development as a spatially and temporally coordinated mechanism that follows hierarchically organized gradients of change. Although white matter development also appears asynchronous, previous studies have relied largely on anatomical tract-based atlases, precluding a direct assessment of how white matter structure is spatially and temporally coordinated. Harnessing advances in diffusion modeling and machine learning, we identified 14 data-driven patterns of covarying white matter structure in a large sample of youth. Fiber covariance networks aligned with known major tracts, while also capturing distinct patterns of spatial covariance across distributed white matter locations. Most networks showed age-related increases in fiber network properties, which were also related to developmental changes in executive function. This study delineates data-driven patterns of white matter development that support cognition.

Metataxonomic Characterization of Enriched Consortia Derived from Oil Spill-Contaminated Sites in Guimaras, Philippines, Reveals Major Role of Klebsiella sp. in Hydrocarbon Degradation.

Oil spills are major anthropogenic disasters that cause serious harm to marine environments. In the Philippines, traditional methods of rehabilitating oil-polluted areas were proven to be less efficient and cause further damage to the environment. Microbial degradation has poised itself to be a promising alternative to those traditional methods in remediating oil spills. Hence, the present study aimed to enrich and characterize hydrocarbon-degrading microbial consortia from oil-contaminated regions in Guimaras Island for potential use in bioremediation. A total of 75 soil samples were obtained and used as inoculum for the enrichment for hydrocarbon degraders. Afterwards, 32 consortia were recovered and subjected to the 2,6-DCPIP assay for biodegradation ability on four types of hydrocarbons: diesel, xylene, hexane, and hexadecane. The consortia that obtained the highest percent degradation for each of the four hydrocarbons were "B2" (92.34% diesel degraded), "A5" (85.55% hexadecane degraded), "B1" (74.33% hexane degraded), and "B7" (63.38% xylene degraded). Illumina MiSeq 16S rRNA gene amplicon sequencing revealed that the dominant phyla in all consortia are Pseudomonadota (previously Proteobacteria), followed by Bacillota (previously Firmicutes). Overall, the amplicon sequence variants (ASVs) retrieved were mainly from the Gammaproteobacteria class, in which many hydrocarbon-degrading bacteria are found. Predictive functional profiling of the consortium showed the presence of genes involved in the degradation of recalcitrant hydrocarbon pollutants. Fatty acid metabolism, which includes alkB (alkane-1-monooxygenase) and genes for beta oxidation, was inferred to be the most abundant amongst all hydrocarbon degradation pathways. Klebsiella sp. is the predominant ASV in all the sequenced consortia as well as the major contributor of hydrocarbon degradation genes. The findings of the study can serve as groundwork for the development of hydrocarbon-degrading bacterial consortia for the bioremediation of oil spill-affected areas in the Philippines. Likewise, this paper provides a basis for further investigation into the role of Klebsiella sp. in the bioremediation of hydrocarbon pollutants.

Radiomic phenotyping of the lung parenchyma in a lung cancer screening cohort.

High-throughput extraction of radiomic features from low-dose CT scans can characterize the heterogeneity of the lung parenchyma and potentially aid in identifying subpopulations that may have higher risk of lung diseases, such as COPD, and lung cancer due to inflammation or obstruction of the airways. We aim to determine the feasibility of a lung radiomics phenotyping approach in a lung cancer screening cohort, while quantifying the effect of different CT reconstruction algorithms on phenotype robustness. We identified low-dose CT scans (n = 308) acquired with Siemens Healthineers scanners from patients who completed low-dose CT within our lung cancer screening program between 2015 and 2018 and had two different sets of image reconstructions kernel available (i.e., medium (I30f.), sharp (I50f.)) for the same acquisition. Following segmentation of the lung field, a total of 26 radiomic features were extracted from the entire 3D lung-field using a previously validated fully-automated lattice-based software pipeline, adapted for low-dose CT scans. The lattice in-house software was used to extract features including gray-level histogram, co-occurrence, and run-length descriptors. The lattice approach uses non-overlapping windows for traversing along pixels of images and calculates different features. Each feature was averaged for each scan within a range of lattice window sizes (W) of 4, 8 and 20 mm. The extracted imaging features from both datasets were harmonized to correct for differences in image acquisition parameters. Subsequently, unsupervised hierarchical clustering was applied on the extracted features to identify distinct phenotypic patterns of the lung parenchyma, where consensus clustering was used to identify the optimal number of clusters (K = 2). Differences between phenotypes for demographic and clinical covariates including sex, age, BMI, pack-years of smoking, Lung-RADS and cancer diagnosis were assessed for each phenotype cluster, and then compared across clusters for the two different CT reconstruction algorithms using the cluster entanglement metric, where a lower entanglement coefficient corresponds to good cluster alignment. Furthermore, an independent set of low-dose CT scans (n = 88) from patients with available pulmonary function data on lung obstruction were analyzed using the identified optimal clusters to assess associations to lung obstruction and validate the lung phenotyping paradigm. Heatmaps generated by radiomic features identified two distinct lung parenchymal phenotype patterns across different feature extraction window sizes, for both reconstruction algorithms (P < 0.05 with K = 2). Associations of radiomic-based clusters with clinical covariates showed significant differences for BMI and pack-years of smoking (P < 0.05) for both reconstruction kernels. Radiomic phenotype patterns were more similar across the two reconstructed kernels, when smaller window sizes (W = 4 and 8 mm) were used for radiomic feature extraction, as deemed by their entanglement coefficient. Validation of clustering approaches using cluster mapping for the independent sample with lung obstruction also showed two statistically significant phenotypes (P < 0.05) with significant difference for BMI and smoking pack-years. Radiomic analysis can be used to characterize lung parenchymal phenotypes from low-dose CT scans, which appear reproducible for different reconstruction kernels. Further work should seek to evaluate the effect of additional CT acquisition parameters and validate these phenotypes in characterizing lung cancer screening populations, to potentially better stratify disease patterns and cancer risk.

Development of White Matter Fiber Covariance Networks Supports Executive Function in Youth.

The white matter architecture of the human brain undergoes substantial development throughout childhood and adolescence, allowing for more efficient signaling between brain regions that support executive function. Increasingly, the field understands grey matter development as a spatially and temporally coordinated mechanism that follows hierarchically organized gradients of change. While white matter development also appears asynchronous, previous studies have largely relied on anatomical atlases to characterize white matter tracts, precluding a direct assessment of how white matter structure is spatially and temporally coordinated. Here, we leveraged advances in diffusion modeling and unsupervised machine learning to delineate white matter fiber covariance networks comprised of structurally similar areas of white matter in a cross-sectional sample of 939 youth aged 8-22 years. We then evaluated associations between fiber covariance network structural properties with both age and executive function using generalized additive models. The identified fiber covariance networks aligned with the known architecture of white matter while simultaneously capturing novel spatial patterns of coordinated maturation. Fiber covariance networks showed heterochronous increases in fiber density and cross section that generally followed hierarchically organized temporal patterns of cortical development, with the greatest increases in unimodal sensorimotor networks and the most prolonged increases in superior and anterior transmodal networks. Notably, we found that executive function was associated with structural features of limbic and association networks. Taken together, this study delineates data-driven patterns of white matter network development that support cognition and align with major axes of brain maturation.

Outcomes of Biologic Use in Asian Compared with Non-Hispanic White Adult Psoriasis Patients from the CorEvitas Psoriasis Registry.

INTRODUCTION: Real-world data are limited comparing Asian and White patients with psoriasis using biologic therapy. This study compared the 6-month effectiveness of biologic therapy between Asian and White plaque patients with psoriasis in the CorEvitas Psoriasis Registry. METHODS: Analyses included biologic initiations and 6-month follow-up visits from self-identified Asian (n = 293) and White (n = 2314) patients in the USA/Canada (4/2015-4/2020). Outcomes included: Psoriasis Area Severity Index (PASI) 75, disease activity measures [body surface area (BSA) ≤ 1, BSA ≤ 3, PASI90, PASI100, Investigator's Global Assessment (IGA) 0/1], and patient-reported outcomes [Dermatology Life Quality Index (DLQI) 0/1, itch, fatigue, skin pain, EuroQoL visual analog scale (EQ-VAS), patient global assessment, Work Productivity Activity and Impairment (WPAI) domains]. Unadjusted regression models were used to calculate odds ratios (OR) and 95% confidence intervals (CI) for achievement of binary outcomes and difference in mean change in continuous outcomes (ß, 95% CI) at 6 months, followed by adjustment for age, sex, body mass index, alcohol, smoking, health insurance, education, comorbidities, scalp psoriasis morphology, psoriatic arthritis, biologic class, previous biologics, and baseline outcome value. RESULTS: Asians had lower proportions of women (32.8% versus 49.1%) and obesity (27.3% versus 54.5%), and higher proportions on Medicaid (19.9% versus 8.8%), graduated college (50.9% versus 40.1%) and never smoked (67.1% versus 44.1%). In unadjusted analyses, Asians had 52% higher odds of achieving PASI75 versus White patients (OR 1.52; 95% CI 1.15, 2.02). After adjustment, the association was attenuated (OR 1.11; 0.81, 1.52). Secondary outcomes experienced similar patterns except for DLQI: Asians had 33% lower odds of achieving DLQI 0/1 in both the unadjusted (OR 0.67; 0.50, 0.90) and adjusted (OR 0.67; 0.49, 0.92) models. CONCLUSION: Unadjusted differences in biologic therapy effectiveness between Asians compared with White patients were likely explained by differences in demographic, lifestyle, and psoriatic disease characteristics between groups. However, Asians still experienced lesser improvements in skin-related quality of life, even after adjustment.

Outcomes in Ixekizumab Patients Following Exposure to Secukinumab and Other Biologics in the CorEvitas Psoriasis Registry.

INTRODUCTION: The aim of this work is to describe real-world biologic-experienced psoriasis patients initiating ixekizumab by prior biologic therapy status and compare the effectiveness of ixekizumab between patients who previously failed secukinumab and those who failed other biologics. We hypothesized that (1) clinical outcomes and patient-reported outcomes would improve following a switch to IXE, and (2) there would be no differences in responses between patients who previously failed secukinumab and those who failed other biologics. METHODS: Participants (n = 419) included adult psoriasis patients enrolled in the CorEvitas Psoriasis Registry through 9/10/20 who switched to ixekizumab after discontinuing another biologic. Patients were classified by the biologic used immediately prior to ixekizumab and reason for discontinuation: prior secukinumab failure; prior secukinumab non-failure; prior other biologic failure; and prior other biologic non-failure. Discontinuations for efficacy reasons were considered failures; all others were considered non-failures. Baseline descriptive statistics were calculated. Multivariable Poisson regression models estimated the likelihood of response of other failure relative to secukinumab failure. RESULTS: Mean age was 51 years; 48% were women. Psoriasis disease characteristics were similar across prior biologic groups. At 6-month follow-up, disease severity improved for all who initiated ixekizumab after discontinuing another biologic. Secukinumab failure patients who switched to ixekizumab achieved BSA ≤ 1 (49%), BSA ≤ 3 (59%), PASI75 (46%), PASI ≤ 3 (64%), and IGA ≤ 1 (40%). Other failure patients achieved BSA ≤ 1 (55%), BSA ≤ 3 (72%), PASI75 (59%), PASI ≤ 3 (74%), and IGA ≤ 1 (54%). In regression modeling, we observed patients in the other biologics failure group had an increased likelihood of achieving response for BSA ≤ 3, PASI75, PASI90, PASI100, and IGA ≤ 1 compared to patients who failed secukinumab. CONCLUSIONS: These findings suggest that patients with psoriasis who switch to ixekizumab after discontinuing another biologic demonstrate improvement in disease severity after six months. Patients who discontinued biologics other than secukinumab may be more likely to respond to ixekiziumab compared to those who switched from secukinumab.

Copy Number Variant Risk Scores Associated With Cognition, Psychopathology, and Brain Structure in Youths in the Philadelphia Neurodevelopmental Cohort.

Importance: Psychiatric and cognitive phenotypes have been associated with a range of specific, rare copy number variants (CNVs). Moreover, IQ is strongly associated with CNV risk scores that model the predicted risk of CNVs across the genome. But the utility of CNV risk scores for psychiatric phenotypes has been sparsely examined. Objective: To determine how CNV risk scores, common genetic variation indexed by polygenic scores (PGSs), and environmental factors combine to associate with cognition and psychopathology in a community sample. Design, Setting, and Participants: The Philadelphia Neurodevelopmental Cohort is a community-based study examining genetics, psychopathology, neurocognition, and neuroimaging. Participants were recruited through the Children's Hospital of Philadelphia pediatric network. Participants with stable health and fluency in English underwent genotypic and phenotypic characterization from November 5, 2009, through December 30, 2011. Data were analyzed from January 1 through July 30, 2021. Exposures: The study examined (1) CNV risk scores derived from models of burden, predicted intolerance, and gene dosage sensitivity; (2) PGSs from genomewide association studies related to developmental outcomes; and (3) environmental factors, including trauma exposure and neighborhood socioeconomic status. Main Outcomes and Measures: The study examined (1) neurocognition, with the Penn Computerized Neurocognitive Battery; (2) psychopathology, with structured interviews based on the Schedule for Affective Disorders and Schizophrenia for School-Age Children; and (3) brain volume, with magnetic resonance imaging. Results: Participants included 9498 youths aged 8 to 21 years; 4906 (51.7%) were female, and the mean (SD) age was 14.2 (3.7) years. After quality control, 18 185 total CNVs greater than 50 kilobases (10 517 deletions and 7668 duplications) were identified in 7101 unrelated participants genotyped on Illumina arrays. In these participants, elevated CNV risk scores were associated with lower overall accuracy on cognitive tests (standardized ß = 0.12; 95% CI, 0.10-0.14; P = 7.41 × 10-26); lower accuracy across a range of cognitive subdomains; increased overall psychopathology; increased psychosis-spectrum symptoms; and higher deviation from a normative developmental model of brain volume. Statistical models of developmental outcomes were significantly improved when CNV risk scores were combined with PGSs and environmental factors. Conclusions and Relevance: In this study, elevated CNV risk scores were associated with lower cognitive ability, higher psychopathology including psychosis-spectrum symptoms, and greater deviations from normative magnetic resonance imaging models of brain development. Together, these results represent a step toward synthesizing rare genetic, common genetic, and environmental factors to understand clinically relevant outcomes in youth.

Dermatologist and Patient Perceptions of Treatment Success in Alopecia Areata and Evaluation of Clinical Outcome Assessments in Japan.

INTRODUCTION: The content validity and treatment success thresholds of clinical outcome assessments (COAs) for alopecia areata (AA)-including the Alopecia Areata-Investigator Global Assessment™ (AA-IGA™), Scalp Hair Assessment Patient-Reported Outcome™ (PRO), and clinician-reported outcome (ClinRO) and PRO measures for eyebrows, eyelashes, eye irritation, and nails-were established in interviews with dermatologists and patients in North America. This study aimed to confirm the content validity and treatment success thresholds of these measures with clinicians and patients in Japan. METHODS: Qualitative interviews were conducted in Japan with dermatologists with AA expertise and adults with AA who experienced ≥ 50% scalp hair loss. Interviews included concept elicitation and cognitive interview questions. Data were analyzed using thematic and framework techniques. RESULTS: Seven dermatologists and 15 patients participated. Scalp hair loss was the most important sign/symptom of AA and the greatest treatment priority. Dermatologists and patients understood the AA-IGA™, Scalp Hair Assessment PRO™, and other COAs, and found these measures to be appropriate, relevant, and clinically meaningful. Dermatologists and patients confirmed that achieving ≤ 20% scalp hair loss (AA-IGA™/Scalp Hair Assessment PRO™ categories 0 or 1) indicated treatment success for patients with ≥ 50% scalp hair loss. Categories 0 or 1 on the other COAs represented treatment success. CONCLUSION: This study confirmed the content validity and treatment success thresholds of the AA-IGA™, Scalp Hair Assessment PRO™, and other ClinRO and PRO measures for AA in Japan. These findings were aligned with interview results in North America and support the use of these measures in AA treatment studies.

About 2% of people in the world have alopecia areata, which causes them to lose hair on their scalp, face, and body. We interviewed 15 Japanese adults who had lost at least half of the hair on their scalp and seven dermatologists who treated alopecia areata. The dermatologists felt that scalp hair loss was more important to treat than eyebrow and eyelash hair loss. Patients were most bothered about losing their scalp hair and reported feeling anxious or worried about what other people might think about it. Patients and dermatologists were also shown several questionnaires and thought the questionnaires were appropriate to measure the most important symptoms of alopecia areata. Patients considered that a treatment worked well if it gave them at least 80% of their scalp hair; dermatologists also wanted the treatment to give patients at least 80% scalp hair. These interviews agree with what has previously been found in interviews with patients and dermatologists in North America.

Patient Preferences for Biologic and Biosimilar Osteoporosis Treatments in Colombia.

PURPOSE: Teriparatide is used to treat patients with established osteoporosis but is often reserved for patients who have inadequate response to antiresorptive therapy. Biosimilar teriparatide, which is believed to have efficacy and safety similar to the originator product, is now available in Colombia. However, little is known about patients' preferences for originator biologic and biosimilar treatments. Our objective was to quantify the relative importance that patients in Colombia place on features of injectable osteoporosis treatments including whether the treatment is an originator biologic or a biosimilar. PATIENTS AND METHODS: We used a discrete choice experiment (DCE) to elicit preferences of patients with osteoporosis treatment devices in Colombia. The survey was completed by 200 respondents at high risk of fracture, with or without teriparatide experience. Each treatment alternative within the DCE was characterized by five attributes: type of medicine (originator biologic, biosimilar), needle length, angle of injection, how to measure the medicine dose, and how long the medicine can be left unrefrigerated. A random parameters logit regression was used to estimate preferences and conditional relative attribute importance, while controlling for preference heterogeneity. RESULTS: A total of 200 patients (mean age = 58.3 years) completed the survey. Most were female (84.5%) and married (54.5%); 50.5% had secondary education or less, 21% had current teriparatide exposure. The attribute with the highest conditional relative importance estimate (standard error) was biologic versus biosimilar (10 [1.11]), followed by needle length (8.06 [1.11]), dose measurement (6.38 [0.87]), refrigeration (3.81 [1.18]), and angle of injection (1.30 [0.66]). Unobserved preference heterogeneity was present and controlled for in the analyses. CONCLUSION: Despite the availability of biosimilar teriparatide in Colombia, patients expressed a strong preference for an originator biologic osteoporosis medicine over a biosimilar osteoporosis medicine, when the efficacy, safety, and cost of the two options were assumed to be the same.

AN EXPLORATORY CASE SERIES ANALYSIS OF THE USE OF PRIMAL REFLEX RELEASE TECHNIQUE™ TO IMPROVE SIGNS AND SYMPTOMS OF HAMSTRING STRAIN.

BACKGROUND/PURPOSE: Hamstring strain (HS), a common condition found among the injured physically active population, is often treated with rest, stretching, and modalities. Primal Reflex Release Technique™ (PRRT™) is a manual therapy technique used to treat pain caused by over-stimulation of the body's primal reflexes. The purpose of this case series was to explore the immediate effects of PRRT™ for treating hamstring strains. DESCRIPTION OF CASES: A multi-site case series approach was used to report on the treatment of six patients with HS using PRRT™. The Numeric Pain Rating Scale (NPRS), Patient Specific Functional Scale (PSFS) and range of motion (ROM) measurements were collected, as well as evaluation of symmetry of the sacroiliac joints, reported as sacroiliac dysfunction(SJD). OUTCOMES: Primal Reflex Release Technique™ (PRRT™) was an effective treatment for subjects with HS. Subjects reported a significant decrease in pain on the NPRS, averaging five points over the course of the treatment (95% CI of 3.374, 6.626). Functional measures on the PSFS were significantly improved following treatment (post-treatment mean = 7.8 ± 1.84, pre-treatment mean = 4.8 ± .97, p < .001; CI: -2.1, -3.9). The mean change on the Passive Knee Extension Test (PKE) (mean = 8.20 ° ± 3.96 °) and ASLR (mean = 10.333 ° ± 8.98 °) indicated statistically significant improvements of post-treatment ROM (mean change = 8.20 ° ± 3.96 °, p = .01). The presence of SJD was observed in all subjects prior to treatment and resolved in all subjects when reassessed after treatment. DISCUSSION: In this case series, the use of PRRT™ resulted in decreased pain, increased function, and increased range of motion, as well as resolved SJD. The Primal Reflex Release Technique™ may be useful in decreasing symptoms of HS acutely, but long-term effects are unknown at this time. Clinicians should consider using a treatment which targets the autonomic nervous system when addressing pain associated with HS. LEVEL OF EVIDENCE: Level 4 - case series.

Machine learning highlights the deficiency of conventional dosimetric constraints for prevention of high-grade radiation esophagitis in non-small cell lung cancer treated with chemoradiation.

BACKGROUND AND PURPOSE: Radiation esophagitis is a clinically important toxicity seen with treatment for locally-advanced non-small cell lung cancer. There is considerable disagreement among prior studies in identifying predictors of radiation esophagitis. We apply machine learning algorithms to identify factors contributing to the development of radiation esophagitis to uncover previously unidentified criteria and more robust dosimetric factors. MATERIALS AND METHODS: We used machine learning approaches to identify predictors of grade ≥ 3 radiation esophagitis in a cohort of 202 consecutive locally-advanced non-small cell lung cancer patients treated with definitive chemoradiation from 2008 to 2016. We evaluated 35 clinical features per patient grouped into risk factors, comorbidities, imaging, stage, histology, radiotherapy, chemotherapy and dosimetry. Univariate and multivariate analyses were performed using a panel of 11 machine learning algorithms combined with predictive power assessments. RESULTS: All patients were treated to a median dose of 66.6 Gy at 1.8 Gy per fraction using photon (89.6%) and proton (10.4%) beam therapy, most often with concurrent chemotherapy (86.6%). 11.4% of patients developed grade ≥ 3 radiation esophagitis. On univariate analysis, no individual feature was found to predict radiation esophagitis (AUC range 0.45-0.55, p ≥ 0.07). In multivariate analysis, all machine learning algorithms exhibited poor predictive performance (AUC range 0.46-0.56, p ≥ 0.07). CONCLUSIONS: Contemporary machine learning algorithms applied to our modern, relatively large institutional cohort could not identify any reliable predictors of grade ≥ 3 radiation esophagitis. Additional patients are needed, and novel patient-specific and treatment characteristics should be investigated to develop clinically meaningful methods to mitigate this survival altering toxicity.

Study description and baseline characteristics of the population enrolled in a multinational, observational study of teriparatide in postmenopausal women with osteoporosis: the Asia and Latin America Fracture Observational Study (ALAFOS).

OBJECTIVE: To describe the study design and baseline patient characteristics of the Asia and Latin America Fracture Observational Study (ALAFOS) to better understand the profile of patients receiving teriparatide during the course of routine clinical practice in Asia, Latin America, the Middle East and Russia. METHODS: Prospective, observational, non-interventional study in postmenopausal women with osteoporosis who are prescribed teriparatide for up to 24 months, according to local medical standards, with a 12 month post-treatment follow-up. MEASURES: Demographics, risk factors for osteoporosis and fractures, history of fracture, prior osteoporosis medications, comorbidities, physical function, back pain and quality of life (QoL). RESULTS: In total 3031 postmenopausal women (mean age 72.5 years) recruited at 152 sites in 20 countries were analyzed; 62.9% had a history of fragility fracture after age 40 (33.0% of patients with spinal, 14.2% with hip fractures). The mean (SD) bone mineral density T-scores at baseline were -3.06 (1.40) and -2.60 (1.05) at the lumbar spine and femoral neck, respectively. At entry, 43.7% of patients were naïve to prior osteoporosis treatments; 40.5% of patients reported ≥1 fall in the past year. The median (Q1; Q3) EuroQoL Visual Analog Scale (EQ-VAS) for perceived overall health status was 60 (50; 80). The mean (SD) worst back pain Numeric Rating Scale in the last 24 hours was 4.6 (3.3). CONCLUSIONS: Our data indicates that patients who were prescribed teriparatide in the ALAFOS participant countries had severe osteoporosis, high prevalence of fractures, disabling back pain and poor QoL. The frequency of patients receiving prior osteoporosis medications was lower than in previous observational studies conducted in other locations.

Medication adherence and persistence in patients with rheumatoid arthritis, psoriasis, and psoriatic arthritis: a systematic literature review.

PURPOSE: Proper adherence and persistence to medications are crucial for better quality of life and improved outcomes in rheumatoid arthritis (RA), psoriasis (PsO), and psoriatic arthritis (PsA). We systematically describe current adherence and persistence patterns for RA, PsO, and PsA, with a focus on biologics and identifying factors associated with adherence and persistence. PATIENTS AND METHODS: Using various databases, a systematic literature review of US-based studies published from 2000 to 2015 on medication adherence and persistence to biologics and associated factors was conducted among patients with RA, PsO, and PsA. RESULTS: Using the medication possession ratio or the percentage of days covered >80%, RA and PsO adherence rates for etanercept, adalimumab, and infliximab ranged from 16% to 73%, 21% to 70%, and 38% to 81%, respectively. Using the criteria of a ≥45-day gap, RA persistence rates for etanercept, adalimumab, and infliximab ranged from 46% to 89%, 42% to 94%, and 41% to 76%, respectively. In PsO, persistence rates for etanercept and adalimumab ranged from 34% to 50% and 50% to 62%, respectively. Similar persistence rates were observed in PsA. Experienced biologics users showed better adherence and persistence. Younger age, female gender, higher out-of-pocket costs, greater disease severity, and more comorbidities were associated with lower adherence and persistence rates. Qualitative surveys revealed that nonpersistence was partly due to perceived ineffectiveness and safety/tolerability concerns. CONCLUSION: Biologic adherence and persistence rates in RA, PsO, and PsA in the United States were low, with significant opportunity for improvement. Various factors - including decrease in disease severity; reduction of comorbidities; lower out-of-pocket costs; refilling at specialty pharmacies; and awareness of drug effectiveness, safety, and tolerability - can inform targeted approaches to improve these rates.

Role of PFKFB3-driven glycolysis in vessel sprouting.

Vessel sprouting by migrating tip and proliferating stalk endothelial cells (ECs) is controlled by genetic signals (such as Notch), but it is unknown whether metabolism also regulates this process. Here, we show that ECs relied on glycolysis rather than on oxidative phosphorylation for ATP production and that loss of the glycolytic activator PFKFB3 in ECs impaired vessel formation. Mechanistically, PFKFB3 not only regulated EC proliferation but also controlled the formation of filopodia/lamellipodia and directional migration, in part by compartmentalizing with F-actin in motile protrusions. Mosaic in vitro and in vivo sprouting assays further revealed that PFKFB3 overexpression overruled the pro-stalk activity of Notch, whereas PFKFB3 deficiency impaired tip cell formation upon Notch blockade, implying that glycolysis regulates vessel branching.

Osteoporosis and treatments in Japan: management for preventing subsequent fractures.

Prevalent fractures are major contributors to an increased risk of subsequent fractures, particularly in people with osteoporosis. While many studies have been conducted to assess the incidence of fracture in Japanese people with osteoporosis, far fewer have been conducted to assess the risk of subsequent fractures. This article reviews the morbidity, mortality, and risk of fracture in patients who are at high risk of subsequent fracture in Japan and the current treatment options available for these patients. Osteoporotic fractures in Japan are associated with high morbidity and mortality that result in significant financial and social costs. The rise in the proportion of elderly women in the Japanese population is contributing to a greater proportion of people with osteoporotic fractures and the high cost of osteoporosis. Although hip fractures have a significant effect on costs, a greater proportion of the Japanese population experience vertebral fractures. An increase in the incidence of vertebral fractures is concerning because preexisting vertebral fractures in older patients are associated with an increased risk of subsequent fractures. Hence, there is a clear rationale for pharmacological treatment of patients with prevalent vertebral fractures, or for those who are hospitalized or undergo surgery for osteoporotic fractures. Several pharmacological therapies are now available in Japan for the treatment of patients with osteoporosis. Understanding the consequences of subsequent fractures and the treatment options available for patients at high risk of subsequent fractures may contribute to clinical decision-making and improved outcomes for patients with osteoporosis.

Association of teriparatide adherence and persistence with clinical and economic outcomes in Medicare Part D recipients: a retrospective cohort study.

BACKGROUND: Improper medication adherence is associated with increased morbidity, healthcare costs, and fracture risk among patients with osteoporosis. The objective of this study was to evaluate the healthcare utilization patterns of Medicare Part D beneficiaries newly initiating teriparatide, and to assess the association of medication adherence and persistence with bone fracture. METHODS: This retrospective cohort study assessed medical and pharmacy claims of 761 Medicare members initiating teriparatide in 2008 and 2009. Baseline characteristics, healthcare use, and healthcare costs 12 and 24 months after teriparatide initiation, were summarized. Adherence, measured by Proportion of Days Covered (PDC), was categorized as high (PDC ≥ 80%), moderate (50% ≥ PDC < 80%), and low (PDC < 50%). Non-persistence was measured as refill gaps in subsequent claims longer than 60 days plus the days of supply from the previous claim. Multivariate logistic regression evaluated the association of adherence and persistence with fracture rates at 12 months. RESULTS: Within 12 months of teriparatide initiation, 21% of the cohort was highly-adherent. Low-adherent or non-persistent patients visited the ER more frequently than did their highly-adherent or persistent counterparts (χ2 = 5.01, p < 0.05 and χ2 = 5.84, p < 0.05), and had significantly lower mean pharmacy costs ($4,361 versus $13,472 and $4,757 versus $13,187, p < 0.0001). Furthermore, non-persistent patients had significantly lower total healthcare costs. The healthcare costs of highly-adherent patients were largely pharmacy-related. Similar patterns were observed in the 222 patients who had fractures at 12 months, among whom 89% of fracture-related costs were pharmacy-related. The regression models demonstrated no significant association of adherence or persistence with 12-month fractures. Six months before initiating teriparatide, 50.7% of the cohort had experienced at least 1 fracture episode. At 12 months, these patients were nearly 3 times more likely to have a fracture (OR = 2.9, 95% C.I. 2.1-4.1 p < 0.0001). CONCLUSIONS: Adherence to teriparatide therapy was suboptimal. Increased pharmacy costs seemed to drive greater costs among highly-adherent patients, whereas lower adherence correlated to greater ER utilization but not to greater costs. Having a fracture in the 6 months before teriparatide initiation increased fracture risk at follow-up.

Adherence and persistence with once-daily teriparatide in Japan: a retrospective, prescription database, cohort study.

Adherence and persistence with osteoporosis treatments are essential for reducing fracture risk. Once-daily teriparatide is available in Japan for treating osteoporosis in patients with a high risk of fracture. The study objective was to describe real-world adherence and persistence with once-daily teriparatide 20 µg during the first year of treatment for patients who started treatment during the first eight months of availability in Japan. This prescription database study involved patients with an index date (first claim) between October 2010 and May 2011, a preindex period ≥6 months, and a postindex period ≥12 months and who were aged >45 years. Adherence (medication possession ratio (MPR)) and persistence (time from the start of treatment to discontinuation; a 60-day gap in supply) were calculated. A total of 287 patients started treatment during the specified time period; 123 (42.9%) were eligible for inclusion. Overall mean (standard deviation) adherence was 0.702 (0.366), with 61.0% of patients having high adherence (MPR > 0.8). The percentage of patients remaining on treatment was 65.9% at 180 days and 61.0% at 365 days. Our findings suggest that real-world adherence and persistence with once-daily teriparatide in Japan are similar to that with once-daily teriparatide in other countries and with other osteoporosis medications.

Involvement of perineuronal and perisynaptic extracellular matrix in Alzheimer's disease neuropathology.

Brain extracellular matrix (ECM) is organized in specific patterns assumed to mirror local features of neuronal activity and synaptic plasticity. Aggrecan-based perineuronal nets (PNs) and brevican-based perisynaptic axonal coats (ACs) form major structural phenotypes of ECM contributing to the laminar characteristics of cortical areas. In Alzheimer's disease (AD), the deposition of amyloid proteins and processes related to neurofibrillary degeneration may affect the integrity of the ECM scaffold. In this study we investigate ECM organization in primary sensory, secondary and associative areas of the temporal and occipital lobe. By detecting all major PN components we show that the distribution, structure and molecular properties of PNs remain unchanged in AD. Intact PNs occurred in close proximity to amyloid plaques and were even located within their territory. Counting of PNs revealed no significant alteration in AD. Moreover, neurofibrillary tangles never occurred in neurons associated with PNs. ACs were only lost in the core of amyloid plaques in parallel with the loss of synaptic profiles. In contrast, hyaluronan was enriched in the majority of plaques. We conclude that the loss of brevican is associated with the loss of synapses, whereas PNs and related matrix components resist disintegration and may protect neurons from degeneration.