Slow breathing for reducing stress: The effect of extending exhale.

INTRODUCTION: Slow breathing techniques are commonly used to reduce stress. While it is believed by mind-body practitioners that extending the exhale time relative to inhale increases relaxation, this has not been demonstrated. METHODS: We conducted a 12-week randomized, single-blinded trial among 100 participants to compare if yoga-based slow breathing with an exhale greater inhale versus an exhale equals inhale produces measurable differences in physiological and psychological stress among healthy adults. RESULTS: Participants mean individual instruction attendance was 10.7 ± 1.5 sessions out of 12 offered sessions. The mean weekly home practice was 4.8 ± 1.2 practices per week. There was no statistical difference between treatment groups for frequency of class attendance, home practice, or achieved slow breathing respiratory rate. Participants demonstrated fidelity to assigned breath ratios with home practice as measured by remote biometric assessments through smart garments (HEXOSKIN). Regular slow breathing practice for 12 weeks significantly reduced psychological stress as measured by PROMIS Anxiety (-4.85 S.D. ± 5.53, confidence interval [-5.60, -3.00], but not physiological stress as measured by heart rate variability. Group comparisons showed small effect size differences (d = 0.2) with further reductions in psychological stress and physiological stress from baseline to 12 weeks for exhale greater than inhale versus exhale equals inhale, however these differences were not statistically significant. CONCLUSION: While slow breathing significantly reduces psychological stress, breath ratios do not have a significant differential effect on stress reduction among healthy adults.

Client perceptions of engaging with a health and social care navigation service: A qualitative study.

OBJECTIVES: Health and social care navigation services provide support for people with long-term conditions. Such services are available in the New Zealand (NZ) context. However little is known nationally or internationally about clients' experience of engaging with such services. This study aimed to describe client perspectives of engaging with a health and social care navigation service in a NZ metropolitan city. METHODS: The manager and navigators of the service recruited clients who were previous users of the service. We individually interviewed nine clients (F = 7; M = 2; aged between 30-80 years) in their homes. Many of the participants reported social isolation, and some were without regular income. We transcribed interviews verbatim and analysed data thematically. RESULTS: There was one overall theme: Restoration of my essence or being (in the Maori language, wairua), and sense of belonging (turangawaewae) through a regenerative approach developed in partnership between the navigator and the client. Thus, participants felt renewed and validated as human beings. DISCUSSION: Enabling clients to feel re-valued as human beings captures the concept of personhood whereby a person has capability and capacity for life choices. We suggest enabling a client to feel valued assists in development of self-determination and consequently improved health and well-being.

Correlation of Automated Computed Tomography Volumetric Analysis Metrics With Motility Disturbances in Thyroid Eye Disease.

PURPOSE: The authors sought to examine relationships between CT metrics derived via an automated method and clinical parameters of extraocular muscle changes in thyroid eye disease (TED). METHODS: CT images of 204 orbits in the setting of TED were analyzed with an automated segmentation tool developed at the institution. Labels were applied to orbital structures of interest on the study images, which were then registered against a previously established atlas of manually indexed orbits derived from 35 healthy individuals. Point-wise correspondences between study and atlas images were then compared via a fusion algorithm to highlight metrics of interest where TED orbits differed from healthy orbits. RESULTS: Univariate analysis demonstrated several correlations between CT metrics and clinical data. Metrics pertaining to the extraocular muscles-including average diameter, maximum diameter, and muscle volume-were strongly correlated (p < 0.05) with the presence of ocular motility deficits with regards to the superior, inferior, and lateral recti (with exception of superior rectus motility deficits being mildly correlated with muscle volume [p = 0.09]). Motility defects of the medial rectus were strongly correlated with muscle volume, and only weakly correlated with average and maximum muscle diameter. CONCLUSIONS: The novel method of automated imaging metrics may provide objective, rapid clinical information which may have utility in prevention and recognition of visual impairments in TED before they reach an advanced or irreversible stage and while they are able to be improved with immunomodulatory treatments.

Integrating community health representatives with health care systems: clinical outcomes among individuals with diabetes in Navajo Nation.

BACKGROUND: We studied the impact of Community Outreach and Patient Empowerment (COPE) intervention to support Community Health Representatives (CHR) on the clinical outcomes of patients living with diabetes in the Navajo Nation extending into the States of Arizona, Utah, and New Mexico. The COPE intervention integrated CHRs into healthcare teams by providing a structured approach to referrals and home visits. METHODS: We abstracted routine clinical data from the Indian Health Service's information system on individuals with diabetes mellitus seen at participating clinical sites from 2010 to 2014. We matched 173 COPE participants to 2880 patients with similar demographic and clinical characteristics who had not participated in COPE. We compared the changes in clinical outcomes between the two groups using linear mixed models. RESULTS: Over the four years of the study, COPE patients had greater improvements in glycosylated hemoglobin (- 0.56%) than non-COPE participants (+ 0.07%) for a difference in differences of 0.63% (95% confidence interval (CI): 0.50, 0.76). Low-density lipoprotein fell more steeply in the COPE group (- 10.58 mg/dl) compared to the non-COPE group (- 3.18 mg/dl) for a difference in differences of 7.40 mg/dl (95%CI: 2.00, 12.80). Systolic blood pressure increased slightly more among COPE (2.06 mmHg) than non-COPE patients (0.61 mmHg). We noted no significant change for body mass index in either group. CONCLUSION: Structured outreach by Community Health Representatives as part of an integrated care team was associated with improved glycemic and lipid levels in the target Navajo population. TRIAL REGISTRATION: Trial registration: NCT03326206. Registered 31 October 2017 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/study/NCT03326206.

Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease.

To understand potential orbital biomarkers generated from computed tomography (CT) imaging in patients with thyroid eye disease. This is a retrospective cohort study. From a database of an ongoing thyroid eye disease research study at our institution, we identified 85 subjects who had both clinical examination and laboratory records supporting the diagnosis of thyroid eye disease and concurrent imaging prior to any medical or surgical intervention. Patients were excluded if imaging quality or type was not amenable to segmentation. The images of 170 orbits were analyzed with the developed automated segmentation tool. The main outcome measure was to cross 25 CT structural metrics for each eye with nine clinical markers using a Kendall rank correlation test to identify significant relationships. The Kendall rank correlation test between automatically calculated CT metrics and clinical data demonstrated numerous correlations. Extraocular rectus muscle metrics, such as the average diameter of the superior, medial, and lateral rectus muscles, showed a strong correlation (p < 0.05) with loss of visual acuity and presence of ocular motility defects. Hertel measurements demonstrated a strong correlation (p < 0.05) with volumetric measurements of the optic nerve and other orbital metrics such as the crowding index and proptosis. Optic neuropathy was strongly correlated (p < 0.05) with an increase in the maximum diameter of the superior muscle. This novel method of automated imaging metrics may provide objective, rapid clinical information. This data may be useful for appreciation of severity of thyroid eye disease and recognition of risk factors of visual impairment from dysthyroid optic neuropathy from CT imaging.

Imaging biomarkers in thyroid eye disease and their clinical associations.

The purpose of this study is to understand the phenotypes of thyroid eye disease (TED) through data derived from a multiatlas segmentation of computed tomography (CT) imaging. Images of 170 orbits of 85 retrospectively selected TED patients were analyzed with the developed automated segmentation tool. Twenty-five bilateral orbital structural metrics were used to perform principal component analysis (PCA). PCA of the 25 structural metrics identified the two most dominant structural phenotypes or characteristics, the "big volume phenotype" and the "stretched optic nerve phenotype," that accounted for 60% of the variance. Most of the subjects in the study have either of these characteristics or a combination of both. A Kendall rank correlation between the principal components (phenotypes) and clinical data showed that the big volume phenotype was very strongly correlated ( p - value < 0.05 ) with motility defects, and loss of visual acuity. Whereas, the stretched optic nerve phenotype was strongly correlated ( p - value < 0.05 ) with an increased Hertel measurement, relatively better visual acuity, and smoking. Two clinical subtypes of TED, type 1 with enlarged muscles and type 2 with proptosis, are recognizable in CT imaging. Our automated algorithm identifies the phenotypes and finds associations with clinical markers.

Structural-Functional Relationships Between Eye Orbital Imaging Biomarkers and Clinical Visual Assessments.

Eye diseases and visual impairment affect millions of Americans and induce billions of dollars in annual economic burdens. Expounding upon existing knowledge of eye diseases could lead to improved treatment and disease prevention. This research investigated the relationship between structural metrics of the eye orbit and visual function measurements in a cohort of 470 patients from a retrospective study of ophthalmology records for patients (with thyroid eye disease, orbital inflammation, optic nerve edema, glaucoma, intrinsic optic nerve disease), clinical imaging, and visual function assessments. Orbital magnetic resonance imaging (MRI) and computed tomography (CT) images were retrieved and labeled in 3D using multi-atlas label fusion. Based on the 3D structures, both traditional radiology measures (e.g., Barrett index, volumetric crowding index, optic nerve length) and novel volumetric metrics were computed. Using stepwise regression, the associations between structural metrics and visual field scores (visual acuity, functional acuity, visual field, functional field, and functional vision) were assessed. Across all models, the explained variance was reasonable (R2 ~ 0.1-0.2) but highly significant (p < 0.001). Instead of analyzing a specific pathology, this study aimed to analyze data across a variety of pathologies. This approach yielded a general model for the connection between orbital structural imaging biomarkers and visual function.

Phenotype Analysis of Early Risk Factors from Electronic Medical Records Improves Image-Derived Diagnostic Classifiers for Optic Nerve Pathology.

We examine imaging and electronic medical records (EMR) of 588 subjects over five major disease groups that affect optic nerve function. An objective evaluation of the role of imaging and EMR data in diagnosis of these conditions would improve understanding of these diseases and help in early intervention. We developed an automated image-processing pipeline that identifies the orbital structures within the human eyes from computed tomography (CT) scans, calculates structural size, and performs volume measurements. We customized the EMR-based phenome-wide association study (PheWAS) to derive diagnostic EMR phenotypes that occur at least two years prior to the onset of the conditions of interest from a separate cohort of 28,411 ophthalmology patients. We used random forest classifiers to evaluate the predictive power of image-derived markers, EMR phenotypes, and clinical visual assessments in identifying disease cohorts from a control group of 763 patients without optic nerve disease. Image-derived markers showed more predictive power than clinical visual assessments or EMR phenotypes. However, the addition of EMR phenotypes to the imaging markers improves the classification accuracy against controls: the AUC improved from 0.67 to 0.88 for glaucoma, 0.73 to 0.78 for intrinsic optic nerve disease, 0.72 to 0.76 for optic nerve edema, 0.72 to 0.77 for orbital inflammation, and 0.81 to 0.85 for thyroid eye disease. This study illustrates the importance of diagnostic context for interpretation of image-derived markers and the proposed PheWAS technique provides a flexible approach for learning salient features of patient history and incorporating these data into traditional machine learning analyses.

Structural Functional Associations of the Orbit in Thyroid Eye Disease: Kalman Filters to Track Extraocular Rectal Muscles.

Pathologies of the optic nerve and orbit impact millions of Americans and quantitative assessment of the orbital structures on 3-D imaging would provide objective markers to enhance diagnostic accuracy, improve timely intervention and eventually preserve visual function. Recent studies have shown that the multi-atlas methodology is suitable for identifying orbital structures, but challenges arise in the identification of the individual extraocular rectus muscles that control eye movement. This is increasingly problematic in diseased eyes, where these muscles often appear to fuse at the back of the orbit (at the resolution of clinical computed tomography imaging) due to inflammation or crowding. We propose the use of Kalman filters to track the muscles in three-dimensions to refine multi-atlas segmentation and resolve ambiguity due to imaging resolution, noise, and artifacts. The purpose of our study is to investigate a method of automatically generating orbital metrics from CT imaging and demonstrate the utility of the approach by correlating structural metrics of the eye orbit with clinical data and visual function measures in subjects with thyroid eye disease. The pilot study demonstrates that automatically calculated orbital metrics are strongly correlated with several clinical characteristics. Moreover, the superior, inferior, medial and lateral rectus muscles obtained using Kalman filters are each correlated with different categories of functional deficit. These findings serve as foundation for further investigation in the use of CT imaging in the study, analysis and diagnosis of ocular diseases, specifically thyroid eye disease.

Raman spectroscopy to distinguish grey matter, necrosis, and glioblastoma multiforme in frozen tissue sections.

The need exists for a highly accurate, efficient and inexpensive tool to distinguish normal brain tissue from glioblastoma multiforme (GBM) and necrosis boundaries rapidly, in real-time, in the operating room. Raman spectroscopy provides a unique biochemical signature of a tissue type, with the potential to provide intraoperative identification of tumor and necrosis boundaries. We aimed to develop a database of Raman spectra from normal brain, GBM, and necrosis, and a methodology for distinguishing these pathologies. Raman spectroscopy was used to measure 95 regions from 40 frozen tissue sections using 785 nm excitation wavelength. Review of adjacent hematoxylin and eosin sections confirmed histology of each region. Three regions each of normal grey matter, necrosis, and GBM were selected as a training set. Ten regions were selected as a validation set, with a secondary validation set of tissue regions containing freeze artifact. Grey matter contained higher lipid (1061, 1081 cm(-1)) content, whereas necrosis revealed increased protein and nucleic acid content (1003, 1206, 1239, 1255-1266, 1552 cm(-1)). GBM fell between these two extremes. Discriminant function analysis showed 99.6, 97.8, and 77.5% accuracy in distinguishing tissue types in the training, validation, and validation with freeze artifact datasets, respectively. Decreased classification in the freeze artifact group was due to tissue preparation damage. This study shows the potential of Raman spectroscopy to accurately identify normal brain, necrosis, and GBM as a tool to augment pathologic diagnosis. Future work will develop mapped images of diffuse glioma and neoplastic margins toward development of an intraoperative surgical tool.

Robust optic nerve segmentation on clinically acquired computed tomography.

The optic nerve (ON) plays a critical role in many devastating pathological conditions. Segmentation of the ON has the ability to provide understanding of anatomical development and progression of diseases of the ON. Recently, methods have been proposed to segment the ON but progress toward full automation has been limited. We optimize registration and fusion methods for a new multi-atlas framework for automated segmentation of the ONs, eye globes, and muscles on clinically acquired computed tomography (CT) data. Briefly, the multi-atlas approach consists of determining a region of interest within each scan using affine registration, followed by nonrigid registration on reduced field of view atlases, and performing statistical fusion on the results. We evaluate the robustness of the approach by segmenting the ON structure in 501 clinically acquired CT scan volumes obtained from 183 subjects from a thyroid eye disease patient population. A subset of 30 scan volumes was manually labeled to assess accuracy and guide method choice. Of the 18 compared methods, the ANTS Symmetric Normalization registration and nonlocal spatial simultaneous truth and performance level estimation statistical fusion resulted in the best overall performance, resulting in a median Dice similarity coefficient of 0.77, which is comparable with inter-rater (human) reproducibility at 0.73.

Coronary revascularization strategy for ST elevation myocardial infarction with multivessel disease: experience and results at 1-year follow-up.

Primary percutaneous coronary intervention (PCI) of culprit lesions (CLs) is the standard of care in patients presenting with ST elevation myocardial infarction (STEMI). However, optimal revascularization strategy for significant nonculprit lesions (non-CLs) in the setting of STEMI remains controversial. The importance of defining of such a strategy lies in the fact that approximately 50% of patients with STEMI have multivessel disease (MVD). The aim of this study was to describe characteristics, therapeutic strategies, and 1-year outcomes in a cohort of patients with STEMI and MVD. We retrospectively analyzed a cohort of 63 patients with STEMI and MVD obtained from a 5-year catheterization database. MVD was defined as ≥70% stenosis of ≥2 epicardial coronary arteries. This cohort was followed for a period of 1 year for major adverse cardiac events (MACE was defined as acute coronary syndrome, new onset heart failure, or death) and all-cause mortality. PCI with stent placement was the major therapeutic procedure (87.5%) performed for CLs. Non-CLs did not undergo interventions in a majority of individuals (47.6%), while the remaining patients underwent PCI (29%) and coronary artery bypass graft surgery (22%) for non-CLs. At 1-year follow-up, prevalence of MACE events and death in the entire cohort were 30% and 15%, respectively. A trend for better outcomes (1-year cumulative MACE events but not mortality) was observed in CL-only intervention cohort compared with non-CL intervention. The PCI and Coronary artery bypass graft surgery cohorts did not show any significant difference in clinical outcomes. In this retrospective cohort of patients with MVD who presented with STEMI, no intervention of noncritical lesions was the prevalent approach, reflecting guideline recommendations. CL-only intervention strategy showed a better clinical outcome than non-CL intervention. Intervention of noncritical lesions therefore did not seem to improve MACEs or all-cause mortality at 1-year of follow-up and might in fact have had a detrimental effect on outcomes.

Homocysteine and methylmalonic acid: markers to predict and avoid toxicity from pemetrexed therapy.

The purpose of this study was to identify predictive factors for severe toxicity caused by antifolate-chemotherapy using pemetrexed (ALIMTA, LY231514), as a model. Data on potential predictive factors for severe toxicity from pemetrexed were collected from 246 patients treated between 1995 and 1999. Multivariate stepwise regression methods were used to identify markers predictive of severe toxicity. Using a multiple logistic regression model allowed us to quantify the relative risk of developing toxicities and to generate a validated clinical hypothesis on ways to improve the safety profile of pemetrexed. Pretreatment total plasma homocysteine (tHcy) levels significantly predict severe thrombocytopenia and neutropenia with or without associated grade 3/4 diarrhea, mucositis, or infection. Pretreatment methylmalonic acid (MMA) levels significantly and independently predict grade 3/4 diarrhea and mucositis; however, these toxicities are still predicted by tHcy alone. Patients with elevated baseline levels of tHcy alone, or of both tHcy and MMA, were found to have a high risk of severe toxicity that led us to postulate that reducing tHcy would result in a reduction of severe toxicity with no harm to efficacy. This study points out for the first time the importance of pretreatment tHcy levels in predicting severe toxicity associated with an antifolate and sets the stage for a prospective clinical intervention to protect patients from pemetrexed-induced severe toxicity and possibly improve the drug's efficacy. Antifolates as a class have been associated with sporadic severe myelosuppression with gastrointestinal toxicity. Although infrequent, a combination of such toxicities can carry a high risk of mortality. This phenomenon had been unpredictable until now. Our work shows that by measuring tHcy, one can identify patients that are at risk of toxicity before treatment. Most importantly, decreasing homocysteine levels via vitamin supplementation leads to a better safety profile of pemetrexed and possibly to an improved efficacy.