An evaluation of the associations among posttraumatic stress disorder, depression, and complicated grief in active duty military personnel with traumatic loss.

Between 44% and 87% of active duty service members and veterans who deployed following the September 11, 2001, terrorist attacks know someone who was killed or seriously injured in combat. Considering the high frequency and known impact of traumatic loss, it is important to understand if and how traumatic loss may impede posttraumatic stress disorder (PTSD) treatment progress in military personnel. Additionally, experiencing a traumatic loss elevates the risk of developing prolonged grief disorder (PGD), which is associated with higher levels of PTSD symptoms, more functional impairment, and more lifetime suicide attempts among military personnel. Given what is known about the association between PGD and PTSD in treatment-seeking service members and veterans, it is also important to understand whether grief-related symptom severity negatively impacts PTSD treatment response. The current study examined associations among traumatic loss, complicated grief, depressive symptoms, and PTSD treatment response among military personnel (N = 127) who participated in variable-length cognitive processing therapy (CPT). There was no direct, F(2, 125) = 0.77, p = .465, or indirect, ß = .02, p = .677, association between a traumatic loss index event and PTSD treatment response compared with other trauma types. Prior assessments of depressive symptom severity were directly related to PTSD at later assessments across two models, ps < .001-p = .021 Participants with a traumatic loss index trauma demonstrated significant reductions in complicated grief, depressive symptoms, and PTSD following CPT, ps < .001, ds = -0.61--0.83. Implications, study limitations, and suggestions for future research are presented.

Asymmetric mate preference and reproductive interference mediate climate-induced changes in mate availability in a small mammal hybrid zone.

Range expansion and contraction are among the most common biotic responses to changing environmental conditions, yet much is to be learned about the mechanisms that underlie range-edge population dynamics, especially when those areas are points of secondary contact between closely related species. Here, we present field-measured parentage data that document the reproductive outcomes of changes in mate availability at a secondary contact zone between two species of woodrat in the genus Neotoma. Changes in mate availability resulted from drought-driven differential survival between the species and their hybrids. As the availability of conspecific mates declined, rates of hybridization increased, leading to the accumulation of admixed individuals in the zone of contact. Patterns of reproductive success in the wild appear to be the result of a combination of both pre-mating isolation and post-zygotic selection resulting from genomic incompatibilities between the parental lineages. Evidence of asymmetric mate preference between the parental lineages came from both skewed reproductive output in the field and laboratory preference trials. Moreover, partial genomic incompatibility was evident from the near-zero reproductive success of F1 males and because nearly all surviving hybrids had one pure parent. Nonetheless, high reproductive success of F1 females and backcrossing in both parental directions allow for introgression between the parental species. These findings reveal how climate change may alter evolutionary outcomes for species at the edge of their ranges through an interplay of behavioral, demographic, and genetic mechanisms.

Effect of pneumococcal conjugate vaccine six years post-introduction on pneumococcal carriage in Ulaanbaatar, Mongolia.

Limited data from Asia are available on long-term effects of pneumococcal conjugate vaccine introduction on pneumococcal carriage. Here we assess the impact of 13-valent pneumococcal conjugate vaccine (PCV13) introduction on nasopharyngeal pneumococcal carriage prevalence, density and antimicrobial resistance. Cross-sectional carriage surveys were conducted pre-PCV13 (2015) and post-PCV13 introduction (2017 and 2022). Pneumococci were detected and quantified by real-time PCR from nasopharyngeal swabs. DNA microarray was used for molecular serotyping and to infer genetic lineage (Global Pneumococcal Sequence Cluster). The study included 1461 infants (5-8 weeks old) and 1489 toddlers (12-23 months old) enrolled from family health clinics. We show a reduction in PCV13 serotype carriage (with non-PCV13 serotype replacement) and a reduction in the proportion of samples containing resistance genes in toddlers six years post-PCV13 introduction. We observed an increase in pneumococcal nasopharyngeal density. Serotype 15 A, the most prevalent non-vaccine-serotype in 2022, was comprised predominantly of GPSC904;9. Reductions in PCV13 serotype carriage will likely result in pneumococcal disease reduction. It is important for ongoing surveillance to monitor serotype changes to potentially inform new vaccine development.

Identifying Predictors of Positive and Negative Affect at Mid-Deployment Among Military Medical Personnel.

INTRODUCTION: Positive and negative affect influence an individual's ability to utilize available physical, psychological, and social resources to maximize responses to life events. Little research has examined the factors that influence the development of positive affect or reduction of negative affective responses among deployed military personnel. The present study aimed to investigate the relationship between deployment-related stressors and symptoms of behavioral health concerns with affectivity among deployed U.S. service members. MATERIALS AND METHODS: Participants were 1148 U.S. Air Force medical personnel deployed to Balad, Iraq, between 2004 and 2011. All participants completed self-report measures of PTSD symptoms, general military and combat exposure, stress, and affectivity. The Institutional Review Board at Wilford Hall Medical Center, the Air Force Personnel Survey Program, and the U.S. Army's Joint Combat Casualty Research Team reviewed and approved the study. RESULTS: Most respondents (89%, 1,018/1,139) reported a positive military experience, but many respondents reported exposure to a potentially traumatic event during deployment. For example, seeing dead or seriously injured Americans (47%, 523/1,123) was the most common exposure reported by participants. A large portion of personnel (21%, 232/1,089) reported clinical levels of PTSD symptoms (score of 33 or higher on the Posttraumatic Stress Disorder Checklist-Military version). Risk factors, including PTSD symptoms, combat exposure, and stress, explained 39% of the variance in negative affect, R2 = 0.39, F(1046) = 224.96, P < .001. Conversely, these risk and resilience factors, including PTSD symptoms, combat exposure, stress, and general military experiences, explained 28% of the variance in positive affect, R2 = 0.28, F(1050) = 103.79, P < .001. No significant gender differences were found between models predicting positive and negative affect. CONCLUSIONS: Negative mood states may be partly an epiphenomenon of PTSD, which has been shown to be safely and effectively treated in the deployed environment. Social support during deployments is uniquely associated with a positive mood. These findings extend beyond the military and into any high-stress occupation wherein leaders could interpret these findings as a need to build or reinforce efforts to provide opportunities to sustain healthy relationships in personnel. These critical indigenous resources support mission readiness and enable the maintenance of positive psychological health.

Testing a Novel Trauma-Informed Treatment for Anger and Aggression Following Military-Related Betrayal: Design and Methodology of a Clinical Trial.

INTRODUCTION: Difficulty controlling anger is a common postdeployment problem in military personnel. Chronic and unregulated anger can lead to inappropriate aggression and is associated with behavioral health, legal, employment, and relationship problems for military service members. Military-related betrayal (e.g., military sexual assault, insider attacks) is experienced by over a quarter of combat service members and is associated with chronic anger and aggression. The high level of physical risk involved in military deployments make interconnectedness and trust in the military organization of utmost importance for survival during missions. While this has many protective functions, it also creates a vulnerability to experiencing military-related betrayal. Betrayal is related to chronic anger and aggression. Individuals with betrayal-related injuries express overgeneralized anger, irritability, blaming others, expectations of injustice, inability to forgive others, and ruminations of revenge. Current approaches to treating anger and aggression in military populations are inadequate. Standard anger treatment is not trauma-informed and does not consider the unique cultural context of anger and aggression in military populations, therefore is not well suited for anger stemming from military-related betrayal. While trauma-informed interventions targeting anger for military personnel exist, anger outcomes are mixed, and aggression and interpersonal functioning outcomes are poor. Also, these anger interventions are designed for patients with posttraumatic stress disorder. However, not all military-related betrayal meets the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition-5 definition of trauma, though it may still lead to chronic anger and aggression. As a result, these patients lack access to treatment that appropriately targets the function of their anger and aggression. MATERIALS AND METHODS: This manuscript describes rationale, design, and methodology of a pilot clinical trial examining Countering Chronic Anger and Aggression Related to Trauma and Transgressions (CART). CART is a transdiagnostic, transgression-focused intervention for military personnel who have experienced military-related betrayal, targeting chronic anger and aggression, and improving interpersonal relationships. The pilot study will use an interrupted timeseries design, where participants are randomized to a 2-, 3-, or 4-week minimal contact waitlist before starting treatment. This design maximizes the sample size so that all participants receive the treatment and act as their own control, while maintaining a robust design via stepped randomization. This trial aims to (1) test the acceptability and feasibility of CART, (2) test whether CART reduces anger and aggression in military personnel with a history of military-related betrayal, and (3) test whether CART improves interpersonal functioning. RESULTS: The primary feasibility outcome will be the successful recruitment, enrollment, and initiation of 40 participants. Primary outcome measures include the Client Satisfaction Survey-8, the State Trait Anger Expression Inventory-2, Overt Aggression Scale-Modified, and the Inventory of Interpersonal Problems-Short Version. CONCLUSION: If outcomes show feasibility, acceptability, and initial effectiveness, CART will demonstrate a culturally relevant treatment for chronic anger, the most frequent postdeployment problem, in a sample of active duty service members who have suffered a military betrayal. The DoD will also have an evidence-based treatment option focusing on interpersonal functioning, including relationships within the military and within families.

Are employment and social integration more strongly associated with deaths of despair than psychological or economic distress?

The label "deaths of despair" for rising US mortality related to drugs/alcohol/suicide seems to implicate emotional distress as the cause. However, a Durkheimian approach would argue that underlying structural factors shape individuals' behavior and emotions. Despite a growing literature on deaths of despair, no study has directly compared the effects of distress and structural factors on deaths of despair versus other causes of mortality. Using data from the Midlife in the United States study with approximately 26 years of mortality follow-up, we evaluated whether psychological or economic distress, employment status, and social integration were more strongly associated with drug/alcohol/suicide mortality than with other causes. Cox hazard models, adjusted for potential confounders, showed little evidence that psychological or economic distress were more strongly associated with mortality related to drugs/alcohol/suicide than mortality from other causes. While distress measures were modestly, but significantly associated with these deaths, the associations were similar in magnitude for many other types of mortality. In contrast, detachment from the labor force and lower social integration were both strongly associated with drug/alcohol/suicide mortality, more than for many other types of mortality. Differences in the estimated percentage dying of despair between age 25 and 65 were larger for employment status (2.0% for individuals who were neither employed nor retired versus only 0.6% for currently employed) and for social integration (1.9% for low versus 0.7% for high integration) than for negative affect (1.2% for high versus 0.8% for no negative affect). Most of the association between distress and drug/alcohol/suicide mortality appeared to result from confounding with structural factors and with pre-existing health conditions that may influence both the perception of distress and mortality risk. While deaths of despair result from self-destructive behavior, our results suggest that structural factors may be more important determinants than subjective distress.

Clinical validation of commercial deep-learning based auto-segmentation models for organs at risk in the head and neck region: a single institution study.

Purpose: To evaluate organ at risk (OAR) auto-segmentation in the head and neck region of computed tomography images using two different commercially available deep-learning-based auto-segmentation (DLAS) tools in a single institutional clinical applications. Methods: Twenty-two OARs were manually contoured by clinicians according to published guidelines on planning computed tomography (pCT) images for 40 clinical head and neck cancer (HNC) cases. Automatic contours were generated for each patient using two deep-learning-based auto-segmentation models-Manteia AccuContour and MIM ProtégéAI. The accuracy and integrity of autocontours (ACs) were then compared to expert contours (ECs) using the Sørensen-Dice similarity coefficient (DSC) and Mean Distance (MD) metrics. Results: ACs were generated for 22 OARs using AccuContour and 17 OARs using ProtégéAI with average contour generation time of 1 min/patient and 5 min/patient respectively. EC and AC agreement was highest for the mandible (DSC 0.90 ± 0.16) and (DSC 0.91 ± 0.03), and lowest for the chiasm (DSC 0.28 ± 0.14) and (DSC 0.30 ± 0.14) for AccuContour and ProtégéAI respectively. Using AccuContour, the average MD was<1mm for 10 of the 22 OARs contoured, 1-2mm for 6 OARs, and 2-3mm for 6 OARs. For ProtégéAI, the average mean distance was<1mm for 8 out of 17 OARs, 1-2mm for 6 OARs, and 2-3mm for 3 OARs. Conclusions: Both DLAS programs were proven to be valuable tools to significantly reduce the time required to generate large amounts of OAR contours in the head and neck region, even though manual editing of ACs is likely needed prior to implementation into treatment planning. The DSCs and MDs achieved were similar to those reported in other studies that evaluated various other DLAS solutions. Still, small volume structures with nonideal contrast in CT images, such as nerves, are very challenging and will require additional solutions to achieve sufficient results.

Hospital falls clinical practice guidelines: a global analysis and systematic review.

BACKGROUND: Hospital falls continue to be a persistent global issue with serious harmful consequences for patients and health services. Many clinical practice guidelines now exist for hospital falls, and there is a need to appraise recommendations. METHOD: A systematic review and critical appraisal of the global literature was conducted, compliant with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Web of Science, Embase, CINAHL, MEDLINE, Epistemonikos, Infobase of Clinical Practice Guidelines, Cochrane CENTRAL and PEDro databases were searched from 1 January 1993 to 1 February 2024. The quality of guidelines was assessed by two independent reviewers using Appraisal of Guidelines for Research and Evaluation Global Rating Scale and Appraisal of Guidelines of Research and Evaluation Recommendation Excellence (AGREE-REX). Certainty of findings was rated using Grading of Recommendations Assessment, Development and Evaluation Confidence in Evidence from Reviews of Qualitative Research. Data were analysed using thematic synthesis. RESULTS: 2404 records were screened, 77 assessed for eligibility, and 20 hospital falls guidelines were included. Ten had high AGREE-REX quality scores. Key analytic themes were as follows: (i) there was mixed support for falls risk screening at hospital admission, but scored screening tools were no longer recommended; (ii) comprehensive falls assessment was recommended for older or frail patients; (iii) single and multifactorial falls interventions were consistently recommended; (iv) a large gap existed in patient engagement in guideline development and implementation; (v) barriers to implementation included ambiguities in how staff and patient falls education should be conducted, how delirium and dementia are managed to prevent falls, and documentation of hospital falls. CONCLUSION: Evidence-based hospital falls guidelines are now available, yet systematic implementation across the hospital sector is more limited. There is a need to ensure an integrated and consistent approach to evidence-based falls prevention for a diverse range of hospital patients.

Recovering from COVID-19 (ReCOV): Feasibility of an Allied-Health-Led Multidisciplinary Outpatient Rehabilitation Service for People with Long COVID.

BACKGROUND: A multidisciplinary approach is required for the management of long COVID. The aim of this study was to determine the feasibility (demand, implementation, practicality, acceptability, and limited efficacy) of an allied-health-led multidisciplinary symptom management service (ReCOV) for long COVID. METHODS: A single-group observational cohort feasibility study was conducted to determine demand (referrals), acceptability (survey), implementation (waitlist times, health professions seen), practicality (adverse events), and limited efficacy (admission and discharge scores from the World Health Organization Disability Assessment Scale, Brief Illness Perception Questionnaire (BIPQ), Patient Health Questionnaire, and EuroQol 5D-5L). Data are presented as median [interquartile range] or count (percentage). RESULTS: During the study, 143 participants (aged 42.00 [32.00-51.00] years, 68% women) participated in ReCOV. Participants were waitlisted for 3.86 [2.14-9.86] weeks and engaged with 5.00 [3.00-6.00] different health professionals. No adverse events occurred. The thematic analysis revealed that ReCOV was helpful but did not fully meet the needs of all participants. Limited efficacy testing indicated that participants had improved understanding and control (p < 0.001) of symptoms (BIPQ) and a small improvement in EQ VAS score (median difference 5.50 points [0.00-25.00], p = 0.004]). CONCLUSIONS: A multidisciplinary service was safe and mostly acceptable to participants for the management of long COVID. Further research should investigate the clinical and cost effectiveness of such a service, including optimal service duration and patient outcomes.

Syndromic Surveillance Tracks COVID-19 Cases in University and County Settings: Retrospective Observational Study.

Background: Syndromic surveillance represents a potentially inexpensive supplement to test-based COVID-19 surveillance. By strengthening surveillance of COVID-19-like illness (CLI), targeted and rapid interventions can be facilitated that prevent COVID-19 outbreaks without primary reliance on testing. Objective: This study aims to assess the temporal relationship between confirmed SARS-CoV-2 infections and self-reported and health care provider-reported CLI in university and county settings, respectively. Methods: We collected aggregated COVID-19 testing and symptom reporting surveillance data from Cornell University (2020-2021) and Tompkins County Health Department (2020-2022). We used negative binomial and linear regression models to correlate confirmed COVID-19 case counts and positive test rates with CLI rate time series, lagged COVID-19 cases or rates, and day of the week as independent variables. Optimal lag periods were identified using Granger causality and likelihood ratio tests. Results: In modeling undergraduate student cases, the CLI rate (P=.003) and rate of exposure to CLI (P<.001) were significantly correlated with the COVID-19 test positivity rate with no lag in the linear models. At the county level, the health care provider-reported CLI rate was significantly correlated with SARS-CoV-2 test positivity with a 3-day lag in both the linear (P<.001) and negative binomial model (P=.005). Conclusions: The real-time correlation between syndromic surveillance and COVID-19 cases on a university campus suggests symptom reporting is a viable alternative or supplement to COVID-19 surveillance testing. At the county level, syndromic surveillance is also a leading indicator of COVID-19 cases, enabling quick action to reduce transmission. Further research should investigate COVID-19 risk using syndromic surveillance in other settings, such as low-resource settings like low- and middle-income countries.

Investigating a Novel Two-Bag N-Acetylcysteine Regimen for Acetaminophen Toxicity.

BACKGROUND: Acetaminophen toxicity remains one of the most common causes of liver failure and is treated with a course of n-acetylcysteine (NAC). This exceptionally effective medication is traditionally administered using a complicated three-bag protocol that is prone to administration errors. OBJECTIVE: We aimed to assess whether switching to a novel two-bag protocol (150 mg/kg over 1 h followed by 150 mg/kg over 20 h) reduced administration errors while not increasing liver injury or anaphylactoid reactions. METHODS: This was a retrospective chart review of hospital encounters for patients with acetaminophen toxicity, comparing outcomes before and after the change from a three-bag protocol to a two-bag protocol at two affiliated institutions. The primary outcome was incidence of medication errors with secondary outcomes including acute liver injury (ALI) and incidence of non-anaphylactoid allergic reactions (NAAR). The study was approved by the health system's Institutional Review Board. RESULTS: 483 encounters were included for analysis (239 in the three-bag and 244 in the two-bag groups). NAAR were identified in 11 patients with no difference seen between groups. Similarly, no differences were seen in ALI. Medication administration errors were observed significantly less often in the two-bag group (OR 0.24) after adjusting for confounders. CONCLUSION: Transitioning to a novel two-bag NAC regimen decreased administration errors. This adds to the literature that two-bag NAC regimens are not only safe but also may have significant benefits over the traditional NAC protocol.

An exploration of descriptive machine learning approaches for antimicrobial resistance: Multidrug resistance patterns in Salmonella enterica.

Salmonellosis is one of the most common foodborne diseases worldwide, with the ability to infect humans and animals. Antimicrobial resistance (AMR) and, particularly, multidrug resistance (MDR) among Salmonella enterica poses a risk to human health. Antimicrobial use (AMU) regulations in livestock have been implemented to reduce AMR and MDR in foodborne pathogens. In this study, we used an integrated machine learning approach to investigate Salmonella AMR and MDR patterns before and after the implementation of AMU restrictions in agriculture in the United States. For this purpose, Salmonella isolates from cattle in the National Antimicrobial Resistance Monitoring System (NARMS) dataset were analysed using three descriptive models consisting of hierarchical clustering, network analysis, and association rule mining. The analysis showed the impact of the United States' 2012 extra-label cephalosporin regulations on AMR trends and revealed a distinctive MDR pattern in the Dublin serotype. The results also indicated that each descriptive model provides insights on a specific aspect of resistance patterns and, therefore, combining these approaches make it possible to gain a deeper understanding of AMR.

"You don't know what you don't know": Knowledge, attitudes, and current practice of physiotherapists in recognising and managing metabolic syndrome, a mixed methods study.

OBJECTIVES: To determine the knowledge, attitudes, and current practice of primary care physiotherapists in recognising and managing clients with metabolic syndrome. DESIGN: Mixed-methods research design comprising an online survey and focus groups. PARTICIPANTS: Australian and English physiotherapists (n = 183) working in a primary care setting responded to the survey. Twelve physiotherapists participated in focus groups. RESULTS: Metabolic syndrome was not on physiotherapists radar. They did not screen for metabolic syndrome nor provide management for it in primary care. Although most physiotherapists had some awareness of metabolic syndrome, they were not knowledgeable. Physiotherapists reported a need to focus on their clients' presenting condition, and there was uncertainty on whether metabolic syndrome management was within their scope of practice. Despite this, physiotherapists felt they had an important role to play in exercise and physical activity prescription for chronic disease management and were keen to further their knowledge and skills related to metabolic syndrome. Survey responses and focus group data were convergent. CONCLUSION: Physiotherapists working in primary care settings are well-placed to identify metabolic risk factors in their clients and provide physical activity interventions to enhance management but currently lack knowledge to embed this in clinical practice. Training and resources are required to enable physiotherapists to identify and manage metabolic syndrome within their practice. CONTRIBUTION OF PAPER.

Human papillomavirus vaccine beliefs and intentions Post-COVID-19 vaccine release among mothers in Alabama.

PURPOSE: The current study sought to determine if the release of COVID-19 vaccines influenced Alabama mothers' attitudes and behaviors regarding HPV vaccination of their adolescent children. METHODS: A social media survey was conducted August - September 2022 among mothers of adolescents ages 9-18, who self-identified as Alabama residents and their child(ren)'s primary medical decision maker. The survey assessed demographics, vaccine knowledge and opinions, vaccination history, influences on vaccination decisions, and how COVID-19 vaccine release affected vaccine opinions. Univariable and multivariable analyses were conducted. RESULTS: Of 241 responses, most participants were white (82.0 %, n = 196), non-Hispanic (96.6 %, n = 230), and privately insured (64.5 %, n = 151), with annual household incomes ≥$61,000 (45.4 %, n = 103). The majority (60.8 %) reported that their child either had or planned to receive the HPV vaccine. The release of COVID-19 vaccines did not change the majority of parental opinions towards HPV, with 78.5 % (n = 161) reporting no change. Among those who experienced a change, 25 % (n = 5) reported an increased likelihood of having their child vaccinated for HPV and 75 % (n = 15) reported a decrease in likelihood. Moderate and high HPV knowledge scores were associated in multivariable analysis with increased likelihood of having their child vaccinated for HPV ("moderate" knowledge AOR: 12.4, 95 % CI: 1.98-78.1; "high" knowledge AOR: 12.8, 95 % CI: 2.00-82.1). Positive HPV opinion scores in the univariable analysis similarly showed increased odds (AOR = 1.5). CONCLUSIONS: These findings indicate that, in this population, COVID-19 vaccine release did not significantly impact subsequent HPV vaccination decision making. Parental perceptions regarding vaccination are critical to informing future interventions.

Individual differences in working memory impact the trajectory of non-native speech category learning.

What is the role of working memory over the course of non-native speech category learning? Prior work has predominantly focused on how working memory might influence learning assessed at a single timepoint. Here, we substantially extend this prior work by examining the role of working memory on speech learning performance over time (i.e., over several months) and leverage a multifaceted approach that provides key insights into how working memory influences learning accuracy, maintenance of knowledge over time, generalization ability, and decision processes. We found that the role of working memory in non-native speech learning depends on the timepoint of learning and whether individuals learned the categories at all. Among learners, across all stages of learning, working memory was associated with higher accuracy as well as faster and slightly more cautious decision making. Further, while learners and non-learners did not have substantially different working memory performance, learners had faster evidence accumulation and more cautious decision thresholds throughout all sessions. Working memory may enhance learning by facilitating rapid category acquisition in initial stages and enabling faster and slightly more careful decision-making strategies that may reduce the overall effort needed to learn. Our results have important implications for developing interventions to improve learning in naturalistic language contexts.

Genomic characterization of cervical lymph node metastases in papillary thyroid carcinoma following the Chornobyl accident.

Childhood radioactive iodine exposure from the Chornobyl accident increased papillary thyroid carcinoma (PTC) risk. While cervical lymph node metastases (cLNM) are well-recognized in pediatric PTC, the PTC metastatic process and potential radiation association are poorly understood. Here, we analyze cLNM occurrence among 428 PTC with genomic landscape analyses and known drivers (131I-exposed = 349, unexposed = 79; mean age = 27.9 years). We show that cLNM are more frequent in PTC with fusion (55%) versus mutation (30%) drivers, although the proportion varies by specific driver gene (RET-fusion = 71%, BRAF-mutation = 38%, RAS-mutation = 5%). cLNM frequency is not associated with other characteristics, including radiation dose. cLNM molecular profiling (N = 47) demonstrates 100% driver concordance with matched primary PTCs and highly concordant mutational spectra. Transcriptome analysis reveals 17 differentially expressed genes, particularly in the HOXC cluster and BRINP3; the strongest differentially expressed microRNA also is near HOXC10. Our findings underscore the critical role of driver alterations and provide promising candidates for elucidating the biological underpinnings of PTC cLNM.

Effects of supplemental methionine sources in finishing pig diets on growth performance, carcass characteristics, cutting yields, and meat quality.

Supplemental methionine (Met) is widely used within the swine industry; however, data are limited regarding the effect of Met sources on carcass cutability and meat quality. The objective was to determine the effects of L-Met (LM, 99%), DL-Met (DLM, 99%), or calcium salt of DL-Met hydroxyl analog (MHA, 84%) in finishing pig diets on carcass characteristics and meat quality. At 9 weeks of age, pigs (N = 240) were allocated to 60 single-sex pens for a four-phase finishing trial that lasted 104 d. Pigs were fed a common grower diet until day 56 where pens were randomly allotted to one of the three experimental diets. For the remaining 7 wk of the finisher phase, pigs (BW = 79.9 ±â€…0.80 kg) were fed diets containing LM, DLM, or MHA, with the supplemental Met source providing 25% of standardized ileal digestible (SID) Met + cysteine (Cys) requirement based on 65% bioefficacy for MHA in comparison with LM or DLM. One pig per pen was slaughtered at the study conclusion (on day 104), and the left sides of carcasses were fabricated into subprimal cuts to determine carcass-cutting yields. Loin quality including proximate composition and shear force were measured. Hot carcass weight was not different (P = 0.34) between treatments (LM 104.5 kg; DLM 103.0 kg; MHA 101.5 kg), moreover, loin eye area was not different (P = 0.98) between treatments (LM 52.65 cm²; DLM 52.49 cm²; MHA 52.81 cm²). Boneless carcass-cutting yield was not different (P = 0.56) between treatments (LM 54.97 kg; DLM 54.82 kg; MHA 54.52 kg). Loin pH was not different (P = 0.24) between treatments (LM 5.45; DLM 5.48; MHA 5.45). However, drip loss tended to be reduced (P = 0.11) by the DLM treatment (5.58%) compared with LM (7.03%) and MHA (6.68%) treatments. Shear force was not different (P = 0.85) between treatments (LM 3.03 kg; DLM 3.06 kg; MHA 3.10 kg). However, cook loss tended to be reduced (P = 0.06) by the DLM treatment (16.20%) compared with LM (18.18%) and MHA (18.50%) treatments. These data suggest that only minimal differences in carcass cutability and meat quality can be attributed to Met source in finishing pig diets when using 65% bioefficacy for MHA relative to L-Met or DL-Met.

Optimizing automated detection of high frequency oscillations using visual markings does not improve SOZ localization.

OBJECTIVE: High frequency oscillations (HFOs) are a biomarker of the seizure onset zone (SOZ) and can be visually or automatically detected. In theory, one can optimize an automated algorithm's parameters to maximize SOZ localization accuracy; however, there is no consensus on whether or how this should be done. Therefore, we optimized an automated detector using visually identified HFOs and evaluated the impact on SOZ localization accuracy. METHODS: We detected HFOs in intracranial EEG from 20 patients with refractory epilepsy from two centers using (1) unoptimized automated detection, (2) visual identification, and (3) automated detection optimized to match visually detected HFOs. RESULTS: SOZ localization accuracy based on HFO rate was not significantly different between the three methods. Across patients, visually optimized detector settings varied, and no single set of settings produced universally accurate SOZ localization. Exploratory analysis suggests that, for many patients, detection settings exist that would improve SOZ localization. CONCLUSIONS: SOZ localization accuracy was similar for all three methods, was not improved by visually optimizing detector settings, and may benefit from patient-specific parameter optimization. SIGNIFICANCE: Visual HFO marking is laborious, and optimizing automated detection using visual markings does not improve localization accuracy. New patient-specific detector optimization methods are needed.

Metabolic syndrome is prevalent and undiagnosed in clients attending private practice physiotherapy: a cross-sectional study.

OBJECTIVES: To determine the prevalence of metabolic syndrome in clients presenting for primary care physiotherapy within private practice settings, and the factors that may be associated with metabolic syndrome. The secondary aim was to determine client's attitudes towards lifestyle change. DESIGN: A cross-sectional study in which self-report and biometric data were collected. The study was conducted in physiotherapy private practices across metropolitan and regional areas, Australia. PARTICIPANTS: 230 clients (mean age 54 (SD18) years, 64% women) presenting for physiotherapy participated. MAIN OUTCOME MEASURES: Participant socio-demographic and lifestyle characteristics were collected. Metabolic syndrome presence was determined by the existence of three or more risk factors on physical examination and capillary blood sample: abdominal obesity, hypertension, elevated random blood glucose, elevated triglycerides and/or reduced HDL cholesterol. RESULTS: Thirty-seven percent of participants had metabolic syndrome, but none knew they had it. Metabolic syndrome was associated with older age and poorer socio-economic status and may have been associated with lower levels of physical activity but not diet. Of those identified as having hypertension and elevated triglycerides, many were undiagnosed (56% and 29% respectively). CONCLUSION: Metabolic syndrome is prevalent and undiagnosed in clients attending private practice physiotherapy. Clients felt lifestyle change was important and they were willing to make changes. This study highlights the need for greater screening of metabolic risk factors in primary care and presents an opportunity for physiotherapists in private practice to identify risk and intervene to improve the overall health of their clients and contribute to chronic disease prevention. CONTRIBUTION OF THE PAPER.