The Impact of Social Deprivation on Anterior Urethral Stricture Recurrence After Urethroplasty - A Trauma and Urologic Reconstructive Network of Surgeons (TURNS) Analysis.

INTRODUCTION AND OBJECTIVES: Several factors influence recurrence after urethral stricture repair. The impact of socioeconomic factors on stricture recurrence after urethroplasty is poorly understood. This study aims to assess the impact that social deprivation, an area-level measure of disadvantage, has on urethral stricture recurrence after urethroplasty. METHODS: We performed a retrospective review of patients undergoing urethral reconstruction by surgeons participating in a collaborative research group. Home zip code was used to calculate Social Deprivation Indices (SDI; 0-100), which quantifies the level of disadvantage across several sociodemographic domains collected in the American Community Survey. Patients without zip code data were excluded from the analysis. The Cox Proportional Hazards model was used to study the association between SDI and the hazard of functional recurrence, adjusting for stricture characteristics as well as age and body mass index. RESULTS: Median age was 46.0 years with a median follow up of 367 days for the 1452 men included in the study. Patients in the fourth SDI quartile (worst social deprivation) were more likely to be active smokers with traumatic and infectious strictures compared to the first SDI quartile. Patients in the fourth SDI quartile had 1.64 times the unadjusted hazard of functional stricture recurrence vs patients in the first SDI quartile (95% CI 1.04-2.59). Compared to anastomotic ± excision, substitution only repair had 1.90 times the unadjusted hazard of recurrence. The adjusted hazard of recurrence was 1.08 per 10-point increase in SDI (95% CI 1.01-1.15, P = .027). CONCLUSIONS: Patient social deprivation identifies those at higher risk for functional recurrence after anterior urethral stricture repair, offering an opportunity for preoperative counseling and postoperative surveillance. Addressing these social determinants of health can potentially improve outcomes in reconstructive surgery.

Association of plant-based diet indexes with the metabolomic profile.

Plant-based diets have gained attention for their potential benefits on both human health and environmental sustainability. The objective of this study was to investigate the association of plant-based dietary patterns with the endogenous metabolites of healthy individuals and identify metabolites that may act as mediators of the associations between dietary intake and modifiable disease risk factors. Adherence to plant-based dietary patterns was assessed for 170 healthy adults using plant-based diet indexes (PDI). Individuals with higher healthful PDI had lower BMI and fasting glucose and higher HDL-C, while those with higher unhealthful PDI had higher BMI, triacylglycerol and fasting glucose and lower HDL-C. Unhealthful PDI was associated with higher levels of several amino acids and biogenic amines previously associated with cardiometabolic diseases and an opposite pattern was observed for healthful PDI. Furthermore, healthful PDI was associated with higher levels of glycerophosphocholines containing very long-chain fatty acids. Glutamate, isoleucine, proline, tyrosine, α-aminoadipate and kynurenine had a statistically significant mediation effect on the associations between PDI scores and LDL-C, HDL-C and fasting glucose. These findings contribute to the growing evidence supporting the role of plant-based diets in promoting metabolic health and shed light on the potential mechanisms explaining their beneficial health effects.

Broad-scale seasonal climate tracking is a consequence, not a driver, of avian migratory connectivity.

Tracking climatic conditions throughout the year is often assumed to be an adaptive behaviour underlying seasonal migration patterns in animal populations. We investigate this hypothesis using genetic markers data to map migratory connectivity for 27 genetically distinct bird populations from 7 species. We found that the variation in seasonal climate tracking across our suite of populations at a continental scale is more likely a consequence, rather than a direct driver, of migratory connectivity, which is primarily shaped by energy efficiency-i.e., optimizing the balance between accessing available resources and movement costs. However, our results also suggest that regional-scale seasonal precipitation tracking affects population migration destinations, thus revealing a potential scale dependency of ecological processes driving migration. Our results have implications for the conservation of these migratory species under climate change, as populations tracking climate seasonally are potentially at higher risk if they adapt to a narrow range of climatic conditions.

An unusual cause of neonatal hypothermia and shock in the emergency department: Diamond Blackfan Anemia.

Diamond Blackfan Anemia (DBA) is a rare disease characterized by anemia secondary to impaired red blood cell production from bone marrow failure. We present a case of infantile hypothermia and shock caused by this clinical pathology. A seven-week-old infant was brought to the emergency department by the father with the chief complaint of abnormal breathing and low activity level throughout the day. Medical history was unremarkable for both the patient and the family. On examination, the infant was breathing 30 breaths per minutes, had a heart rate of 116, and a core temperature of 33 degrees Celsius. The infant was ashen in color, limp, with grunted breathing and minimal movement. Numerous abnormal laboratory readings were reported, with the most significant being a hemoglobin of 1.7 and a hematocrit of 7.4. Emergent blood transfusion was initiated, and the patient was eventually air-lifted to a pediatric hospital two hours away. This case highlights the imperative of a thorough history and examination and consideration of a broad differential for neonatal hypothermia and shock, especially in the setting of no obvious bleeding.

Group Cohesion in Experiential Growth Groups: A Multilevel Growth Analysis.

Group cohesion is considered a key group therapeutic factor; however, limited knowledge exists on the session-to-session development of group cohesion in the context of training groups or on the factors that may predict such developments. We utilized multilevel growth modeling to examine the longitudinal changes in 44 counselor trainees' ratings of group cohesion in seven experiential growth groups across four semesters. We found significant between-person variability in the growth trajectory of group cohesion and identified trainee self-disclosure and gender as significant predictors of group cohesion. The results indicated the complexity of within- and between-person changes in group cohesion in training groups and the need for further research to identify potential predictors of these changes. We also discussed ways for group facilitators to attend to self-disclosure as an important marker of group cohesion.

Anti-spike antibody responses to SARS-CoV-2 mRNA vaccines in people with schizophrenia and schizoaffective disorder.

Importance: Individuals with schizophrenia are at higher risk for severe COVID-19 illness and severe breakthrough infection following vaccination. It is unclear whether immune response to vaccination differs in this population. Objective: To assess whether anti-SARS-CoV-2 spike antibody titers after vaccination differ in people with a diagnosis of schizophrenia or schizoaffective disorder (SZ) compared to controls without a psychiatric disorder. Design: This cohort study assessed antibody response following the first and second dose of mRNA vaccines at longitudinal timepoints, up to 7 weeks following the first dose of vaccine. Setting: A multi-center study including psychiatric healthcare settings in the United States and Europe. Participants: 205 adults with no history of COVID-19 infection, including 106 individuals with SZ and 99 controls without a psychiatric disorder, who received their first dose of SARS-CoV-2 mRNA vaccine between December 20, 2020 and May 27, 2021. Main outcomes and measures: Mean SARS-CoV-2 anti-Spike IgG antibody levels within 7 weeks after the first dose of vaccination. Results: A total of 205 individuals (mean [SD] age, 44.7 [12.0] years; 90 [43.9%] male) were included, of which 106 (51.7%) were diagnosed with SZ. SZ was associated with lower mean log antibody levels (-0.15; 95% CI, -0.27 to -0.03, P = 0.016) after adjusting for age, sex, body mass index, smoking, days since vaccination, and vaccine manufacturer. In secondary analyses of dose-specific responses, SZ was associated with a lower mean log antibody level after the second dose of vaccine (-0.23; 95% CI -0.39 to -0.06, P = 0.006), but not the first dose of vaccine (0.00; 95% CI -0.18- 0.19, P = 0.96). Conclusions and Relevance: In this cohort study of individuals with SZ and a control group without psychiatric disorders, SZ was associated with lower SARS-CoV-2 anti-spike antibody levels following 2 doses of SARS-CoV-2 mRNA vaccination. This highlights the need for further studies assessing vaccine immunogenicity in individuals with schizophrenia.

What Is the Value of Palliative Care for Inpatients With Cancer?

@ramsedhom and colleagues highlight the opportunity of palliative care to bend the cost (and value) curve in cancer. Enhanced, early, and expanded access to PC offers benefits to inpatients with cancer and cost savings to health systems and payors.

Osteoarthritis as a Systemic Disease Promoted Prostate Cancer In Vivo and In Vitro.

Osteoarthritis (OA) is increasing worldwide, and previous work found that OA increases systemic cartilage oligomeric matrix protein (COMP), which has also been implicated in prostate cancer (PCa). As such, we sought to investigate whether OA augments PCa progression. Cellular proliferation and migration of RM1 murine PCa cells treated with interleukin (IL)-1α, COMP, IL-1α + COMP, or conditioned media from cartilage explants treated with IL-1α (representing OA media) and with inhibitors of COMP were assessed. A validated murine model was used for tumor growth and marker expression analysis. Both proliferation and migration were greater in PCa cells treated with OA media compared to controls (p < 0.001), which was not seen with direct application of the stimulants. Migration and proliferation were not negatively affected when OA media was mixed with downstream and COMP inhibitors compared to controls (p > 0.05 for all). Mice with OA developed tumors 100% of the time, whereas mice without OA only 83.4% (p = 0.478). Tumor weight correlated with OA severity (Pearson correlation = 0.813, p = 0.002). Moreover, tumors from mice with OA demonstrated increased Ki-67 expression compared to controls (mean 24.56% vs. 6.91%, p = 0.004) but no difference in CD31, PSMA, or COMP expression (p > 0.05). OA appears to promote prostate cancer in vitro and in vivo.

Metabolomics Simultaneously Derives Benchmark Dose Estimates and Discovers Metabolic Biotransformations in a Rat Bioassay.

Benchmark dose (BMD) modeling estimates the dose of a chemical that causes a perturbation from baseline. Transcriptional BMDs have been shown to be relatively consistent with apical end point BMDs, opening the door to using molecular BMDs to derive human health-based guidance values for chemical exposure. Metabolomics measures the responses of small-molecule endogenous metabolites to chemical exposure, complementing transcriptomics by characterizing downstream molecular phenotypes that are more closely associated with apical end points. The aim of this study was to apply BMD modeling to in vivo metabolomics data, to compare metabolic BMDs to both transcriptional and apical end point BMDs. This builds upon our previous application of transcriptomics and BMD modeling to a 5-day rat study of triphenyl phosphate (TPhP), applying metabolomics to the same archived tissues. Specifically, liver from rats exposed to five doses of TPhP was investigated using liquid chromatography-mass spectrometry and 1H nuclear magnetic resonance spectroscopy-based metabolomics. Following the application of BMDExpress2 software, 2903 endogenous metabolic features yielded viable dose-response models, confirming a perturbation to the liver metabolome. Metabolic BMD estimates were similarly sensitive to transcriptional BMDs, and more sensitive than both clinical chemistry and apical end point BMDs. Pathway analysis of the multiomics data sets revealed a major effect of TPhP exposure on cholesterol (and downstream) pathways, consistent with clinical chemistry measurements. Additionally, the transcriptomics data indicated that TPhP activated xenobiotic metabolism pathways, which was confirmed by using the underexploited capability of metabolomics to detect xenobiotic-related compounds. Eleven biotransformation products of TPhP were discovered, and their levels were highly correlated with multiple xenobiotic metabolism genes. This work provides a case study showing how metabolomics and transcriptomics can estimate mechanistically anchored points-of-departure. Furthermore, the study demonstrates how metabolomics can also discover biotransformation products, which could be of value within a regulatory setting, for example, as an enhancement of OECD Test Guideline 417 (toxicokinetics).

Differential responses of SARS-CoV-2 variants to environmental drivers during their selective sweeps.

Previous work has shown that environmental variables affect SARS-CoV-2 transmission, but it is unclear whether different strains show similar environmental responses. Here we leverage genetic data on the transmission of three (Alpha, Delta and Omicron BA.1) variants of SARS-CoV-2 throughout England, to unpick the roles that climate and public-health interventions play in the circulation of this virus. We find evidence for enhanced transmission of the virus in colder conditions in the first variant selective sweep (of Alpha, in winter), but limited evidence of an impact of climate in either the second (of Delta, in the summer, when vaccines were prevalent) or third sweep (of Omicron, in the winter, during a successful booster-vaccination campaign). We argue that the results for Alpha are to be expected if the impact of climate is non-linear: we find evidence of an asymptotic impact of temperature on the alpha variant transmission rate. That is, at lower temperatures, the influence of temperature on transmission is much higher than at warmer temperatures. As with the initial spread of SARS-CoV-2, however, the overwhelming majority of variation in disease transmission is explained by the intrinsic biology of the virus and public-health mitigation measures. Specifically, when vaccination rates are high, a major driver of the spread of a new variant is it's ability to evade immunity, and any climate effects are secondary (as evidenced for Delta and Omicron). Climate alone cannot describe the transmission dynamics of emerging SARS-CoV-2 variants.

Digital Skills, STEM Occupation, and Job Automation Risks Among the Older Workers in the United States.

BACKGROUND AND OBJECTIVES: Advancing automation technologies are replacing certain occupations such as those involving simple food preparation more than occupations such as those in STEM fields (e.g., engineering and health care). Older workers generally face higher job automation risks in part due to their lower levels of digital skills. A better understanding of the associations between job automation risk, digital skills, and type of occupation (e.g., STEM vs non-STEM) can facilitate preparations for job automation and workforce population aging. RESEARCH DESIGN AND METHODS: We analyzed a nationally representative sample (N = 1,560) of middle-aged and older U.S. workers aged 50-74 years from the 2012/2014/2017 Program for International Assessment of Adult Competencies (PIAAC) restricted-use file. The estimated job automation risks (i.e., percentage of jobs to be automated in the next decades) were derived from the previous studies. PIAAC digital problem-solving skills proficiency (measured on a scale of 0-500 points) was assessed based on a series of practical digital tasks (e.g., finding a job research website that does not require registration). RESULTS: Linear regression analysis showed that greater digital skill proficiency (b = -0.04, p < .05) and STEM occupations (b = -17.78, p < .001) each were associated with lower job automation risks, even after adjusting for a series of demographic, socioeconomic, and civic engagement characteristics. DISCUSSION AND IMPLICATIONS: Education and labor policy interventions to promote digital skills among older workers and non-STEM workers may better prepare an aging workforce for the dynamic labor market needs in the United States.

Impact of increased protein intake in older adults: a 12-week double-blind randomised controlled trial.

BACKGROUND: Emerging evidence suggests health-promoting properties of increased protein intake. There is increased interest in plant protein but a dearth of information in relation to its impact on muscle function. The objective of the present work was to examine the impact of intake of different types of proteins on muscle functional parameters including handgrip strength, biomarkers of metabolic health, sleep quality and quality of life in a group of older adults. METHODS: Healthy men and women aged 50 years and older entered a double-blinded, randomised, controlled nutritional intervention study with three parallel arms: high plant protein, high dairy protein and low protein. Participants consumed once daily a ready-to-mix shake (containing 20 g of protein in high protein groups) for 12 weeks. Changes in handgrip and leg strength, body composition, metabolic health, quality of life and sleep quality were analysed by linear mixed models in an intention-to-treat approach. RESULTS: Eligible participants (n = 171) were randomly assigned to the groups (plant: n = 60, dairy: n = 56, low protein: n = 55) and 141 completed the study. Handgrip strength increased after the intervention (Ptime = 0.038), with no significant difference between the groups. There was no significant difference between groups for any other health outcomes. CONCLUSIONS: In a population of older adults, increasing protein intake by 20 g daily for 12 weeks (whether plant-based or dairy-based) did not result in significant differences in muscle function, body composition, metabolic health, sleep quality or quality of life, compared with the low protein group.

Aquatic Soundscape Recordings Reveal Diverse Vocalizations and Nocturnal Activity of an Endangered Frog.

AbstractAutonomous sensors provide opportunities to observe organisms across spatial and temporal scales that humans cannot directly observe. By processing large data streams from autonomous sensors with deep learning methods, researchers can make novel and important natural history discoveries. In this study, we combine automated acoustic monitoring with deep learning models to observe breeding-associated activity in the endangered Sierra Nevada yellow-legged frog (Rana sierrae), a behavior that current surveys do not measure. By deploying inexpensive hydrophones and developing a deep learning model to recognize breeding-associated vocalizations, we discover three undocumented R. sierrae vocalization types and find an unexpected temporal pattern of nocturnal breeding-associated vocal activity. This study exemplifies how the combination of autonomous sensor data and deep learning can shed new light on species' natural history, especially during times or in locations where human observation is limited or impossible.

LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa.

Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth's carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network of high-quality reference data is needed to calibrate and validate mapping algorithms. This study aims to generate reference AGB datasets using field inventory plots and airborne LiDAR data for eight sites in Central Africa and five sites in South Asia, two regions largely underrepresented in global reference AGB datasets. The study provides access to these reference AGB maps, including uncertainty maps, at 100 m and 40 m spatial resolutions covering a total LiDAR footprint of 1,11,650 ha [ranging from 150 to 40,000 ha at site level]. These maps serve as calibration/validation datasets to improve the accuracy and reliability of AGB mapping for current and upcoming EO missions (viz., GEDI, BIOMASS, and NISAR).

Survivorship Care for People Affected by Advanced or Metastatic Cancer: MASCC-ASCO Standards and Practice Recommendations.

PURPOSE: People with advanced or metastatic cancer and their caregivers may have different care goals and face unique challenges compared with those with early-stage disease or those nearing the end of life. These Multinational Association for Supportive Care in Cancer (MASCC)-ASCO standards and practice recommendations seek to establish consistent provision of quality survivorship care for people affected by advanced or metastatic cancer. METHODS: A MASCC-ASCO expert panel was formed. Standards and recommendations relevant to the provision of quality survivorship care for people affected by advanced or metastatic cancer were developed through conducting (1) a systematic review of unmet supportive care needs; (2) a scoping review of cancer survivorship, supportive care, and palliative care frameworks and guidelines; and (3) an international modified Delphi consensus process. RESULTS: A systematic review involving 81 studies and a scoping review of 17 guidelines and frameworks informed the initial standards and recommendations. Subsequently, 77 experts (including eight people with lived experience) across 33 countries (33% were low- to middle-resource countries) participated in the Delphi study and achieved ≥94.8% agreement for seven standards, (1) Person-Centered Care; (2) Coordinated and Integrated Care; (3) Evidence-Based and Comprehensive Care; (4) Evaluated and Communicated Care; (5) Accessible and Equitable Care; (6) Sustainable and Resourced Care; and (7) Research and Data-Driven Care, and ≥84.2% agreement across 45 practice recommendations. CONCLUSION: Standards of survivorship care for people affected by advanced or metastatic cancer are provided. These MASCC-ASCO standards support optimization of health outcomes and care experiences by providing guidance to stakeholders (health care professionals, leaders, and administrators; governments and health ministries; policymakers; advocacy agencies; cancer survivors and caregivers). Practice recommendations may be used to facilitate future research, practice, policy, and advocacy efforts.Additional information is available at www.mascc.org, www.asco.org/standards and www.asco.org/survivorship-guidelines.

Survivorship care for people affected by advanced or metastatic cancer: MASCC-ASCO standards and practice recommendations.

PURPOSE: People with advanced or metastatic cancer and their caregivers may have different care goals and face unique challenges compared to those with early-stage disease or those nearing the end-of-life. These MASCC-ASCO standards and practice recommendations seek to establish consistent provision of quality survivorship care for people affected by advanced or metastatic cancer. METHODS: An expert panel comprising MASCC and ASCO members was formed. Standards and recommendations relevant to the provision of quality survivorship care for people affected by advanced or metastatic cancer were developed through conducting: (1) a systematic review of unmet supportive care needs; (2) a scoping review of cancer survivorship, supportive care, and palliative care frameworks and guidelines; and (3) an international modified Delphi consensus process. RESULTS: A systematic review involving 81 studies and a scoping review of 17 guidelines and frameworks informed the initial standards and recommendations. Subsequently, 77 experts (including 8 people with lived experience) across 33 countries (33% were low-to-middle resource countries) participated in the Delphi study and achieved ≥ 94.8% agreement for seven standards (1. Person-Centred Care; 2. Coordinated and Integrated Care; 3. Evidence-Based and Comprehensive Care; 4. Evaluated and Communicated Care; 5. Accessible and Equitable Care; 6. Sustainable and Resourced Care; 7. Research and Data-Driven Care) and ≥ 84.2% agreement across 45 practice recommendations. CONCLUSION: Standards of survivorship care for people affected by advanced or metastatic cancer are provided. These MASCC-ASCO standards will support optimization of health outcomes and care experiences by providing guidance to stakeholders in cancer care (healthcare professionals, leaders, and administrators; governments and health ministries; policymakers; advocacy agencies; cancer survivors and caregivers. Practice recommendations may be used to facilitate future research, practice, policy, and advocacy efforts.

Similar rates of reoperation for neuroma after transtibial amputations with and without targeted muscle reinnervation.

Objective: To compare the rates of revision surgery for symptomatic neuromas in patients undergoing primary transtibial amputations with and without targeted muscle reinnervation (TMR). Design: Retrospective cohort study. Setting: Level I trauma hospital and tertiary military medical center. Patients/Participants: Adult patients undergoing transtibial amputations with and without TMR. Intervention: Transtibial amputation with targeted muscle reinnervation. Main Outcome Measurements: Reoperation for symptomatic neuroma. Results: During the study period, there were 112 primary transtibial amputations performed, 29 with TMR and 83 without TMR. Over the same period, there were 51 revision transtibial amputations performed, including 23 (21%) in the patients undergoing primary transtibial amputation at the study institution. The most common indications for revision surgery were wound breakdown/dehiscence (42%, n = 25), followed by symptomatic neuroma 18% (n = 9/51) and infection/osteomyelitis (17%, n = 10) as the most common indications. However, of the patients undergoing primary amputation at the study's institution, there was no difference in reoperation rates for neuroma when comparing the TMR group (3.6%, n = 1/28) and no TMR group (4.0%, n = 3/75) (P = 0.97). Conclusions: Symptomatic neuroma is one of the most common reasons for revision amputation; however, this study was unable to demonstrate a difference in revision surgery rates for neuroma for patients undergoing primary transtibial amputation with or without targeted muscle reinnervation. Level of Evidence: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

Multi-band interference and imaging via joint-detection of two-photon beats from thermal radiation.

We present a theoretical discussion of multi-band two-photon interference via joint detection by "slow" detectors and extend it to a technique for multi-band ghost imaging. This technique exploits the advantage of two-photon optical beats over classical optical beats with multi-band thermal light, where the beat frequency can be resolved from intensity fluctuation correlation measurement with two relatively slow photodetectors. The underlying two-photon beats represent a two-photon interference phenomenon: a pair of randomly created and randomly paired photons interfering with the pair itself. A notable implication of the two-photon beats is that they can be turbulence-resistant, which makes our result not only of fundamental interest but also practically useful.