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Background: The psychological and cardiovascular health impacts on family members of patients who have been diagnosed with cancer have not been well characterized. The purpose of this study is to determine whether a family member's cancer diagnosis influences the risk of psychological illness and cardiovascular disease in first-degree relatives and spouses of patients affected by cancer., Methods: This retrospective cohort analysis evaluated the risk of psychological illness and cardiovascular disease in first-degree relatives and spouses of patients diagnosed with a genitourinary cancer between 1990 and 2015 compared to relatives of those not diagnosed with a genitourinary cancer. The Utah Population Database was used and familial linkage was determined. Follow-up included 1-, 3-, and 5-year intervals. Patients residing outside of Utah and first-degree relatives and spouses with psychological or cardiovascular disease diagnosed before a family member's cancer diagnosis were excluded., Results: A total of 49,284 patients with a genitourinary cancer were identified with 77,938 first-degree relatives and spouses. A matched control group included 246,775 patients with 81,022 first-degree relatives and spouses. Via Cox proportional hazards models, a 10% increased risk of developing a psychological illness (hazard ratio [HR], 1.10; 95% CI, 1.00-1.20) and a 28% increased risk of developing cardiovascular disease (HR, 1.28; 95% CI, 1.17-1.41) at 1 year after a family member's cancer diagnosis were found., Conclusions: This study provides population-level evidence to support the hypothesis that cancer diagnoses will lead to adverse health outcomes for family members of patients with cancer. Increased clinical attention and support are needed to reduce the harm to families caused by cancer., (© 2024 The Author(s). Cancer published by Wiley Periodicals LLC on behalf of American Cancer Society.)

Physical environment plays a key role in determining human health risks. Exposure to toxins, weather extremes, degraded air and water quality, high levels of noise and limited accessibility to green areas can negatively affect health. Furthermore, adverse environmental exposures are often correlated with each other and with socioeconomic status, thereby compounding disadvantages in marginalized populations. Moreover, despite their importance in determining human health risks, the role of multiple environmental exposures is not well studied, and only a few resources contain aggregate environmental exposure data and only for selected areas of the contiguous US. To fill these gaps, we took a cumulative approach to measuring the environment by generating a composite Multi-Exposure Environmental Index (MEEI) as a US Census Tract-level summary of key environmental factors with known health effects. This measure quantifies multiple environmental exposures in the same area that can result in additive and synergistic effects on health outcomes. This information is crucial to better understand and possibly leverage environmental determinants of health for informed policy-making and intervention., (Published by Elsevier Ltd.)

One of the challenges associated with understanding environmental impacts on cancer risk and outcomes is estimating potential exposures of individuals diagnosed with cancer to adverse environmental conditions over the life course. Historically, this has been partly due to the lack of reliable measures of cancer patients' potential environmental exposures before a cancer diagnosis. The emerging sources of cancer-related spatiotemporal environmental data and residential history information, coupled with novel technologies for data extraction and linkage, present an opportunity to integrate these data into the existing cancer surveillance data infrastructure, thereby facilitating more comprehensive assessment of cancer risk and outcomes. In this paper, we performed a landscape analysis of the available environmental data sources that could be linked to historical residential address information of cancer patients' records collected by the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The objective is to enable researchers to use these data to assess potential exposures at the time of cancer initiation through the time of diagnosis and even after diagnosis. The paper addresses the challenges associated with data collection and completeness at various spatial and temporal scales, as well as opportunities and directions for future research., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Using a health systems approach to investigate low-value care (LVC) may provide insights into structural drivers of this pervasive problem., Objective: To evaluate the influence of service area practice patterns on low-value mammography and prostate-specific antigen (PSA) testing., Design: Retrospective study analyzing LVC rates between 2008 and 2018, leveraging physician relocation in 3-year intervals of matched physician and patient groups., Setting: U.S. Medicare claims data., Participants: 8254 physicians and 56 467 patients aged 75 years or older., Measurements: LVC rates for physicians staying in their original service area and those relocating to new areas., Results: Physicians relocating from higher-LVC areas to low-LVC areas were more likely to provide lower rates of LVC. For mammography, physicians staying in high-LVC areas (LVC rate, 10.1% [95% CI, 8.8% to 12.2%]) or medium-LVC areas (LVC rate, 10.3% [CI, 9.0% to 12.4%]) provided LVC at a higher rate than physicians relocating from those areas to low-LVC areas (LVC rates, 6.0% [CI, 4.4% to 7.5%] [difference, -4.1 percentage points {CI, -6.7 to -2.3 percentage points}] and 5.9% [CI, 4.6% to 7.8%] [difference, -4.4 percentage points {CI, -6.7 to -2.4 percentage points}], respectively). For PSA testing, physicians staying in high- or moderate-LVC service areas provided LVC at a rate of 17.5% (CI, 14.9% to 20.7%) or 10.6% (CI, 9.6% to 13.2%), respectively, compared with those relocating from those areas to low-LVC areas (LVC rates, 9.9% [CI, 7.5% to 13.2%] [difference, -7.6 percentage points {CI, -10.9 to -3.8 percentage points}] and 6.2% [CI, 3.5% to 9.8%] [difference, -4.4 percentage points {CI, -7.6 to -2.2 percentage points}], respectively). Physicians relocating from lower- to higher-LVC service areas were not more likely to provide LVC at a higher rate., Limitation: Use of retrospective observational data, possible unmeasured confounding, and potential for relocating physicians to practice differently from those who stay., Conclusion: Physicians relocating to service areas with lower rates of LVC provided less LVC than physicians who stayed in areas with higher rates of LVC. Systemic structures may contribute to LVC. Understanding which factors are contributing may present opportunities for policy and interventions to broadly improve care., Primary Funding Source: National Cancer Institute of the National Institutes of Health., Competing Interests: Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M23-1456.

Study Question: Can we simultaneously assess risk for multiple cancers to identify familial multicancer patterns in families of azoospermic and severely oligozoospermic men?, Summary Answer: Distinct familial cancer patterns were observed in the azoospermia and severe oligozoospermia cohorts, suggesting heterogeneity in familial cancer risk by both type of subfertility and within subfertility type., What Is Known Already: Subfertile men and their relatives show increased risk for certain cancers including testicular, thyroid, and pediatric., Study Design, Size, Duration: A retrospective cohort of subfertile men (N = 786) was identified and matched to fertile population controls (N = 5674). Family members out to third-degree relatives were identified for both subfertile men and fertile population controls (N = 337 754). The study period was 1966-2017. Individuals were censored at death or loss to follow-up, loss to follow-up occurred if they left Utah during the study period., Participants/materials, Setting, Methods: Azoospermic (0 × 106/mL) and severely oligozoospermic (<1.5 × 106/mL) men were identified in the Subfertility Health and Assisted Reproduction and the Environment cohort (SHARE). Subfertile men were age- and sex-matched 5:1 to fertile population controls and family members out to third-degree relatives were identified using the Utah Population Database (UPDB). Cancer diagnoses were identified through the Utah Cancer Registry. Families containing ≥10 members with ≥1 year of follow-up 1966-2017 were included (azoospermic: N = 426 families, 21 361 individuals; oligozoospermic: N = 360 families, 18 818 individuals). Unsupervised clustering based on standardized incidence ratios for 34 cancer phenotypes in the families was used to identify familial multicancer patterns; azoospermia and severe oligospermia families were assessed separately., Main Results and the Role of Chance: Compared to control families, significant increases in cancer risks were observed in the azoospermia cohort for five cancer types: bone and joint cancers hazard ratio (HR) = 2.56 (95% CI = 1.48-4.42), soft tissue cancers HR = 1.56 (95% CI = 1.01-2.39), uterine cancers HR = 1.27 (95% CI = 1.03-1.56), Hodgkin lymphomas HR = 1.60 (95% CI = 1.07-2.39), and thyroid cancer HR = 1.54 (95% CI = 1.21-1.97). Among severe oligozoospermia families, increased risk was seen for three cancer types: colon cancer HR = 1.16 (95% CI = 1.01-1.32), bone and joint cancers HR = 2.43 (95% CI = 1.30-4.54), and testis cancer HR = 2.34 (95% CI = 1.60-3.42) along with a significant decrease in esophageal cancer risk HR = 0.39 (95% CI = 0.16-0.97). Thirteen clusters of familial multicancer patterns were identified in families of azoospermic men, 66% of families in the azoospermia cohort showed population-level cancer risks, however, the remaining 12 clusters showed elevated risk for 2-7 cancer types. Several of the clusters with elevated cancer risks also showed increased odds of cancer diagnoses at young ages with six clusters showing increased odds of adolescent and young adult (AYA) diagnosis [odds ratio (OR) = 1.96-2.88] and two clusters showing increased odds of pediatric cancer diagnosis (OR = 3.64-12.63). Within the severe oligozoospermia cohort, 12 distinct familial multicancer clusters were identified. All 12 clusters showed elevated risk for 1-3 cancer types. An increase in odds of cancer diagnoses at young ages was also seen in five of the severe oligozoospermia familial multicancer clusters, three clusters showed increased odds of AYA diagnosis (OR = 2.19-2.78) with an additional two clusters showing increased odds of a pediatric diagnosis (OR = 3.84-9.32)., Limitations, Reasons for Caution: Although this study has many strengths, including population data for family structure, cancer diagnoses and subfertility, there are limitations. First, semen measures are not available for the sample of fertile men. Second, there is no information on medical comorbidities or lifestyle risk factors such as smoking status, BMI, or environmental exposures. Third, all of the subfertile men included in this study were seen at a fertility clinic for evaluation. These men were therefore a subset of the overall population experiencing fertility problems and likely represent those with the socioeconomic means for evaluation by a physician., Wider Implications of the Findings: This analysis leveraged unique population-level data resources, SHARE and the UPDB, to describe novel multicancer clusters among the families of azoospermic and severely oligozoospermic men. Distinct overall multicancer risk and familial multicancer patterns were observed in the azoospermia and severe oligozoospermia cohorts, suggesting heterogeneity in cancer risk by type of subfertility and within subfertility type. Describing families with similar cancer risk patterns provides a new avenue to increase homogeneity for focused gene discovery and environmental risk factor studies. Such discoveries will lead to more accurate risk predictions and improved counseling for patients and their families., Study Funding/competing Interest(s): This work was funded by GEMS: Genomic approach to connecting Elevated germline Mutation rates with male infertility and Somatic health (Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD): R01 HD106112). The authors have no conflicts of interest relevant to this work., Trial Registration Number: N/A., (© The Author(s) 2024. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Introduction: Patients living in rural areas have worse cancer-specific outcomes. This study examines the effect of family-based social capital on genitourinary cancer survival. We hypothesized that rural patients with urban relatives have improved survival relative to rural patients without urban family., Methods: We examined rural and urban based Utah individuals diagnosed with genitourinary cancers between 1968 and 2018. Familial networks were determined using the Utah Population Database. Patients and relatives were classified as rural or urban based on 2010 rural-urban commuting area codes. Overall survival was analyzed using Cox proportional hazards models., Results: We identified 24,746 patients with genitourinary cancer with a median follow-up of 8.72 years. Rural cancer patients without an urban relative had the worst outcomes with cancer-specific survival hazard ratios (HRs) at 5 and 10 years of 1.33 (95% CI 1.10-1.62) and 1.46 (95% CI 1.24-1.73), respectively relative to urban patients. Rural patients with urban first-degree relatives had improved survival with 5- and 10-year survival HRs of 1.21 (95% CI 1.06-1.40) and 1.16 (95% CI 1.03-1.31), respectively., Conclusions: Our findings suggest rural patients who have been diagnosed with a genitourinary cancer have improved survival when having relatives in urban centers relative to rural patients without urban relatives. Further research is needed to better understand the mechanisms through which having an urban family member contributes to improved cancer outcomes for rural patients. Better characterization of this affect may help inform policies to reduce urban-rural cancer disparities., (© 2024 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Characterizing the interplay between exposures shaping the human exposome is vital for uncovering the etiology of complex diseases. For example, cancer risk is modified by a range of multifactorial external environmental exposures. Environmental, socioeconomic, and lifestyle factors all shape lung cancer risk. However, epidemiological studies of radon aimed at identifying populations at high risk for lung cancer often fail to consider multiple exposures simultaneously. For example, moderating factors, such as PM 2.5 , may affect the transport of radon progeny to lung tissue. This ecological analysis leveraged a population-level dataset from the National Cancer Institute's Surveillance, Epidemiology, and End-Results data (2013-17) to simultaneously investigate the effect of multiple sources of low-dose radiation (gross [Formula: see text] activity and indoor radon) and PM 2.5 on lung cancer incidence rates in the USA. County-level factors (environmental, sociodemographic, lifestyle) were controlled for, and Poisson regression and random forest models were used to assess the association between radon exposure and lung and bronchus cancer incidence rates. Tree-based machine learning (ML) method perform better than traditional regression: Poisson regression: 6.29/7.13 (mean absolute percentage error, MAPE), 12.70/12.77 (root mean square error, RMSE); Poisson random forest regression: 1.22/1.16 (MAPE), 8.01/8.15 (RMSE). The effect of PM 2.5 increased with the concentration of environmental radon, thereby confirming findings from previous studies that investigated the possible synergistic effect of radon and PM 2.5 on health outcomes. In summary, the results demonstrated (1) a need to consider multiple environmental exposures when assessing radon exposure's association with lung cancer risk, thereby highlighting (1) the importance of an exposomics framework and (2) that employing ML models may capture the complex interplay between environmental exposures and health, as in the case of indoor radon exposure and lung cancer incidence., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Purpose: Surgical pathology reports are critical for cancer diagnosis and management. To accurately extract information about tumor characteristics from pathology reports in near real time, we explore the impact of using domain-specific transformer models that understand cancer pathology reports., Methods: We built a pathology transformer model, Path-BigBird, by using 2.7 million pathology reports from six SEER cancer registries. We then compare different variations of Path-BigBird with two less computationally intensive methods: Hierarchical Self-Attention Network (HiSAN) classification model and an off-the-shelf clinical transformer model (Clinical BigBird). We use five pathology information extraction tasks for evaluation: site, subsite, laterality, histology, and behavior. Model performance is evaluated by using macro and micro F 1 scores., Results: We found that Path-BigBird and Clinical BigBird outperformed the HiSAN in all tasks. Clinical BigBird performed better on the site and laterality tasks. Versions of the Path-BigBird model performed best on the two most difficult tasks: subsite (micro F 1 score of 72.53, macro F 1 score of 35.76) and histology (micro F 1 score of 80.96, macro F 1 score of 37.94). The largest performance gains over the HiSAN model were for histology , for which a Path-BigBird model increased the micro F 1 score by 1.44 points and the macro F 1 score by 3.55 points. Overall, the results suggest that a Path-BigBird model with a vocabulary derived from well-curated and deidentified data is the best-performing model., Conclusion: The Path-BigBird pathology transformer model improves automated information extraction from pathology reports. Although Path-BigBird outperforms Clinical BigBird and HiSAN, these less computationally expensive models still have utility when resources are constrained.

Attention mechanisms are now a mainstay architecture in neural networks and improve the performance of biomedical text classification tasks. In particular, models that perform automated medical encoding of clinical documents make extensive use of the label-wise attention mechanism. A label-wise attention mechanism increases a model's discriminatory ability by using label-specific reference information. This information can either be implicitly learned during training or explicitly provided through embedded textual code descriptions or information on the code hierarchy; however, contemporary studies arbitrarily select the type of label-specific reference information. To address this shortcoming, we evaluated label-wise attention initialized with either implicit or explicit label-specific reference information against two common baseline methods-target-attention and text-encoder architecture-specific methods-to generate document embeddings across four text-encoder architectures-a convolutional neural network, two recurrent neural networks, and a transformer. We also present an extension of label-wise attention that can embed the information on the code hierarchy. We performed our experiments on the MIMIC III dataset, which is a standard dataset in the clinical text classification domain. Our experiments showed that using pretrained reference information and the hierarchical design helped improve classification performance. These performance improvements had less impact on larger datasets and label spaces across all text-encoder architectures. In our analysis, we used an attention mechanism's energy scores to explain the perceived differences in performance and interpretability between the text-encoder architectures and types of label-attention.

To better understand determinants and potential disparities in end of life, we model decedents' place of death with explanatory variables describing familial, social, and economic resources. A retrospective cohort of 204,041 decedents and their family members are drawn from the Utah Population Database family caregiving dataset. Using multinomial regression, we model place of death, categorized as at home, in a hospital, in another location, or unknown. The model includes family relationship variables, sex, race and ethnicity, and a socioeconomic status score, with control variables for age at death and death year. We identified the effect of a family network of multiple caregivers, with 3+ daughters decreasing odds of a hospital death by 17 percent (OR: 0.83 [0.79, 0.87], p  < 0.001). Place of death also varies significantly by race and ethnicity, with most nonwhite groups more likely to die in a hospital. These determinants may contribute to disparities in end of life.

Introduction: No professional society guidelines recommend PSA screening in men younger than age 40; however, data suggest testing occurs at meaningful rates in this age group. The purpose of this study was to identify the rate of PSA testing in men under 40., Methods: This is a population-based, retrospective cohort study from 2008 to 2017. Using the MarketScan database, rates of testing for the sum of the annual population of men at risk were evaluated. Descriptive statistics and statistical analyses were performed in men continuously enrolled in the database for at least 5 year. Results were stratified by receipt of PSA testing and by age group. The association of diagnoses and Charlson Comorbidity Index with receipt of PSA test was evaluated using multivariable logistic regression models., Results: We identified 3,230,748 men ages 18 to 39 who were enrolled for at least 5 years. The rate of ever receiving PSA testing was 0.6%, 1.7%, 8.5%, and 9.1% in men less than 25, 25 to 29, 30 to 34, and 35 to 39 years, respectively. Multivariable logistic regression showed that relative to all men 18 to 39, patients who received PSA testing had higher odds of a diagnosis of hypogonadism (OR 11.77) or lower urinary tract symptoms (OR 4.19)., Conclusions: This study found a remarkable number of young men receive PSA testing, with a strong association with diagnoses of lower urinary tract symptoms and hypogonadism. Clinicians need to be educated that assessment and management guidelines for other urologic diagnoses now defer PSA testing to prostate cancer screening guidelines.

Climate change has led to an increase in heat-related morbidity and mortality. The impact of heat on health is unequally distributed amongst different socioeconomic and demographic groups. We use high-resolution daily air temperature-based heat wave intensity (HWI) and neighborhood-scale sociodemographic information from the conterminous United States to evaluate the spatial patterning of extreme heat exposure disparities. Assuming differences in spatial patterns at national, regional, and local scales; we assess disparities in heat exposure across race, housing characteristics, and poverty level. Our findings indicate small differences in HWI based on these factors at the national level, with the magnitude and direction of the differences varying by region. The starkest differences are present over the Northeast and Midwest, where primarily Black neighborhoods are exposed to higher HWI than predominantly White areas. At the local level, we find the largest difference by socioeconomic status. We also find that residents of nontraditional housing are more vulnerable to heat exposure. Previous studies have either evaluated such disparities for specific cities and/or used a satellite-based land surface temperature, which, although correlated with air temperature, does not provide the true measure of heat exposure. This study is the first of its kind to incorporate high-resolution gridded air temperature-based heat exposure in the evaluation of sociodemographic disparities at a national scale. The analysis suggests the unequal distribution of heat wave intensities across communities-with higher heat exposures characterizing areas with high proportions of minorities, low socioeconomic status, and homes in need of retrofitting to combat climate change., Competing Interests: The authors declare no conflicts of interest relevant to this study., (© 2023 Oak Ridge National Laboratory and The Authors. GeoHealth published by Wiley Periodicals LLC on behalf of American Geophysical Union.)

Patients with autoimmune inflammatory rheumatic diseases (AIIRDs) are at increased risk for severe infections. Vaccine responses and safety profiles may differ between AIIRD patients and the general population. While patients with autoimmune inflammatory rheumatic diseases (AIIRDs) often experience diminished humoral responses and reduced vaccine efficacy, factors such as the type of immunosuppressant medications used and the specific vaccine employed contribute to these outcomes. Notably, individuals undergoing B cell depletion therapy tend to have poor vaccine immunogenicity. However, despite these considerations, vaccine responses are generally considered clinically sufficient. Ideally, immunosuppressed AIIRD patients should receive vaccinations at least two weeks before commencing immunosuppressive treatment. However, it is common for many patients to already be on immunosuppressants during the immunization process. Vaccination rarely triggers flares in AIIRDs; if flares occur, they are typically mild. Despite the heightened infection risk, including COVID-19, among AIIRD patients with rheumatoid arthritis, systemic lupus erythematosus, sarcoidosis, and other diseases on immunosuppressants, the vaccination rates remain suboptimal. The future directions of vaccination in the era of immunosuppression will likely involve customized vaccines with enhanced adjuvants and alternative delivery methods. By addressing the unique challenges faced by immunosuppressed individuals, we may improve vaccine efficacy, reduce the risk of infections, and ultimately enhance the health outcomes. Additionally, clinical trials to evaluate the safety and efficacy of temporarily discontinuing immunosuppressants during vaccination in various AIIRDs are crucial.

Objective: To understand how chronic exposure to industrial air pollution is associated with male fertility through semen parameters., Design: Retrospective cohort study., Patients: Men in the Subfertility, Health, and Assisted Reproduction cohort who underwent a semen analysis in the two largest healthcare systems in Utah from 2005-2017 with ≥1 measured semen parameter (N = 21,563)., Intervention(s): Residential histories for each man were constructed using locations from administrative records linked through the Utah Population Database. Industrial facilities with air emissions of nine endocrine-disrupting compound chemical classes were identified from the Environmental Protection Agency Risk-Screening Environmental Indicators microdata. Chemical levels were linked with residential histories for the 5 years before each semen analysis., Main Outcome Measures: Semen analyses were classified as azoospermic or oligozoospermic (< 15 M/mL) using World Health Organization cutoffs for concentration. Bulk semen parameters such as concentration, total count, ejaculate volume, total motility, total motile count, and total progressive motile count were also measured. Multivariable regression models with robust standard errors were used to associate exposure quartiles for each of the nine chemical classes with each semen parameter, adjusting for age, race, and ethnicity, as well as neighborhood socioeconomic disadvantage., Results: After adjustment for demographic covariates, several chemical classes were associated with azoospermia and decreased total motility and volume. For exposure in the 4th relative to 1st quartile, significant associations were observed for acrylonitrile (β total motility = -0.87 pp), aromatic hydrocarbons (odds ratio [OR] azoospermia = 1.53; β volume = -0.14 mL), dioxins (OR azoospermia = 1.31; β volume = -0.09 mL; β total motility = -2.65 pp), heavy metals (β total motility = -2.78pp), organic solvents (OR azoospermia = 1.75; β volume = -0.10 mL), organochlorines (OR azoospermia = 2.09; β volume = -0.12 mL), phthalates (OR azoospermia = 1.44; β volume = -0.09 mL; β total motility = -1.21 pp), and silver particles (OR azoospermia = 1.64; β volume = -0.11 mL). All semen parameters significantly decreased with increasing socioeconomic disadvantage. Men who lived in the most disadvantaged areas had concentration, volume, and total motility of 6.70 M/mL, 0.13 mL, and 1.79 pp lower, respectively. Count, motile count, and total progressive motile count all decreased by 30-34 M., Conclusion(s): Several significant associations between chronic low-level environmental exposure to endocrine-disrupting compound air pollution from industrial sources and semen parameters were observed. The strongest associations were seen for increased odds of azoospermia and declines in total motility and volume. More research is needed to further explore additional social and exposure factors as well as expand on the risk posed to male reproductive health by the studied chemicals., (Copyright © 2023 American Society for Reproductive Medicine. All rights reserved.)

Background: Thoracic aortic disease and bicuspid aortic valve (BAV) likely have a heritable component, but large population-based studies are lacking. This study characterizes familial associations of thoracic aortic disease and BAV, as well as cardiovascular and aortic-specific mortality, among relatives of these individuals in a large-population database., Methods: In this observational case-control study of the Utah Population Database, we identified probands with a diagnosis of BAV, thoracic aortic aneurysm, or thoracic aortic dissection. Age- and sex-matched controls (10:1 ratio) were identified for each proband. First-degree relatives, second-degree relatives, and first cousins of probands and controls were identified through linked genealogical information. Cox proportional hazard models were used to quantify the familial associations for each diagnosis. We used a competing-risk model to determine the risk of cardiovascular-specific and aortic-specific mortality for relatives of probands., Results: The study population included 3 812 588 unique individuals. Familial hazard risk of a concordant diagnosis was elevated in the following populations compared with controls: first-degree relatives of patients with BAV (hazard ratio [HR], 6.88 [95% CI, 5.62-8.43]); first-degree relatives of patients with thoracic aortic aneurysm (HR, 5.09 [95% CI, 3.80-6.82]); and first-degree relatives of patients with thoracic aortic dissection (HR, 4.15 [95% CI, 3.25-5.31]). In addition, the risk of aortic dissection was higher in first-degree relatives of patients with BAV (HR, 3.63 [95% CI, 2.68-4.91]) and in first-degree relatives of patients with thoracic aneurysm (HR, 3.89 [95% CI, 2.93-5.18]) compared with controls. Dissection risk was highest in first-degree relatives of patients who carried a diagnosis of both BAV and aneurysm (HR, 6.13 [95% CI, 2.82-13.33]). First-degree relatives of patients with BAV, thoracic aneurysm, or aortic dissection had a higher risk of aortic-specific mortality (HR, 2.83 [95% CI, 2.44-3.29]) compared with controls., Conclusions: Our results indicate that BAV and thoracic aortic disease carry a significant familial association for concordant disease and aortic dissection. The pattern of familiality is consistent with a genetic cause of disease. Furthermore, we observed higher risk of aortic-specific mortality in relatives of individuals with these diagnoses. This study provides supportive evidence for screening in relatives of patients with BAV, thoracic aneurysm, or dissection., Competing Interests: Disclosures None.

Background: Subsequent malignant neoplasms (SMN; new cancers that arise after an original diagnosis) contribute to premature mortality among adolescent and young adult (AYA) cancer survivors. Because of the high population prevalence of human papillomavirus (HPV) infection, we identify demographic and clinical risk factors for HPV-associated SMNs (HPV-SMN) among AYA cancer survivors in the SEER-9 registries diagnosed from 1976 to 2015., Methods: Outcomes included any HPV-SMN, oropharyngeal-SMN, and cervical-SMN. Follow-up started 2 months after their original diagnosis. Standardized incidence ratios (SIR) compared risk between AYA survivors and general population. Age-period-cohort (APC) models examined trends over time. Fine and Gray's models identified therapy effects controlling for cancer and demographic confounders., Results: Of 374,408 survivors, 1,369 had an HPV-SMN, occurring on average 5 years after first cancer. Compared with the general population, AYA survivors had 70% increased risk for any HPV-SMN [95% confidence interval (CI), 1.61-1.79] and 117% for oropharyngeal-SMN (95% CI, 2.00-2.35); cervical-SMN risk was generally lower in survivors (SIR, 0.85; 95% CI, 0.76-0.95), but Hispanic AYA survivors had a 8.4 significant increase in cervical-SMN (SIR, 1.46; 95% CI, 1.01-2.06). AYAs first diagnosed with Kaposi sarcoma, leukemia, Hodgkin, and non-Hodgkin lymphoma had increased HPV-SMN risks compared with the general population. Oropharyngeal-SMN incidence declined over time in APC models. Chemotherapy and radiation were associated with any HPV-SMN among survivors with first HPV-related cancers, but not associated among survivors whose first cancers were not HPV-related., Conclusions: HPV-SMN in AYA survivors are driven by oropharyngeal cancers despite temporal declines in oropharyngeal-SMN. Hispanic survivors are at risk for cervical-SMN relative to the general population., Impact: Encouraging HPV vaccination and cervical and oral cancer screenings may reduce HPV-SMN burden among AYA survivors., (©2023 American Association for Cancer Research.)

Background: Transcriptome studies are gaining momentum in genomic epidemiology, and the need to incorporate these data in multivariable models alongside other risk factors brings demands for new approaches., Methods: Here we describe SPECTRA, an approach to derive quantitative variables that capture the intrinsic variation in gene expression of a tissue type. We applied the SPECTRA approach to bulk RNA sequencing from malignant cells (CD138+) in patients from the Multiple Myeloma Research Foundation CoMMpass study., Results: A set of 39 spectra variables were derived to represent multiple myeloma cells. We used these variables in predictive modeling to determine spectra-based risk scores for overall survival, progression-free survival, and time to treatment failure. Risk scores added predictive value beyond known clinical and expression risk factors and replicated in an external dataset. Spectrum variable S5, a significant predictor for all three outcomes, showed pre-ranked gene set enrichment for the unfolded protein response, a mechanism targeted by proteasome inhibitors which are a common first line agent in multiple myeloma treatment. We further used the 39 spectra variables in descriptive modeling, with significant associations found with tumor cytogenetics, race, gender, and age at diagnosis; factors known to influence multiple myeloma incidence or progression., Conclusions: Quantitative variables from the SPECTRA approach can predict clinical outcomes in multiple myeloma and provide a new avenue for insight into tumor differences by demographic groups., Impact: The SPECTRA approach provides a set of quantitative phenotypes that deeply profile a tissue and allows for more comprehensive modeling of gene expression with other risk factors., (©2023 The Authors; Published by the American Association for Cancer Research.)

Background and Objectives: Older adult multimorbidity trajectories are helpful for understanding the current and future health patterns of aging populations. The construction of multimorbidity trajectories from comorbidity index scores will help inform public health and clinical interventions targeting those individuals that are on unhealthy trajectories. Investigators have used many different techniques when creating multimorbidity trajectories in prior literature, and no standard way has emerged. This study compares and contrasts multimorbidity trajectories constructed from various methods., Research Design and Methods: We describe the difference between aging trajectories constructed with the Charlson Comorbidity Index (CCI) and Elixhauser Comorbidity Index (ECI). We also explore the differences between acute (single-year) and chronic (cumulative) derivations of CCI and ECI scores. Social determinants of health can affect disease burden over time; thus, our models include income, race/ethnicity, and sex differences., Results: We use group-based trajectory modeling (GBTM) to estimate multimorbidity trajectories for 86,909 individuals aged 66-75 in 1992 using Medicare claims data collected over the following 21 years. We identify low-chronic disease and high-chronic disease trajectories in all 8 generated trajectory models. Additionally, all 8 models satisfied prior established statistical diagnostic criteria for well-performing GBTM models., Discussion and Implications: Clinicians may use these trajectories to identify patients on an unhealthy path and prompt a possible intervention that may shift the patient to a healthier trajectory., Competing Interests: None declared., (© The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America.)

The role of immunity in the pathogenesis of various pulmonary diseases, particularly interstitial lung diseases (ILDs), is being increasingly appreciated as mechanistic discoveries advance our knowledge in the field. Immune-mediated lung diseases demonstrate clinical and immunological heterogeneity and can be etiologically categorized into connective tissue disease (CTD)-associated, exposure-related, idiopathic, and other miscellaneous lung diseases including sarcoidosis, and post-lung transplant ILD. The immunopathogenesis of many of these diseases remains poorly defined and possibly involves either immune dysregulation, abnormal healing, chronic inflammation, or a combination of these, often in a background of genetic susceptibility. The heterogeneity and complex immunopathogenesis of ILDs complicate management, and thus a collaborative treatment team should work toward an individualized approach to address the unique needs of each patient. Current management of immune-mediated lung diseases is challenging; the choice of therapy is etiology-driven and includes corticosteroids, immunomodulatory drugs such as methotrexate, cyclophosphamide and mycophenolate mofetil, rituximab, or other measures such as discontinuation or avoidance of the inciting agent in exposure-related ILDs. Antifibrotic therapy is approved for some of the ILDs (e.g., idiopathic pulmonary fibrosis) and is being investigated for many others and has shown promising preliminary results. A dire need for advances in the management of immune-mediated lung disease persists in the absence of standardized management guidelines., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Sweis, Sweis, Alnaimat, Jansz, Liao, Alsakaty, Azam, Elmergawy, Hanson, Ascoli, Rubinstein and Sweiss.)

Background: The degree to which suicide risk aggregates in US families is unknown. The authors aimed to determine the familial risk of suicide in Utah, and tested whether familial risk varies based on the characteristics of the suicides and their relatives., Methods: A population-based sample of 12 160 suicides from 1904 to 2014 were identified from the Utah Population Database and matched 1:5 to controls based on sex and age using at-risk sampling. All first through third- and fifth-degree relatives of suicide probands and controls were identified ( N = 13 480 122). The familial risk of suicide was estimated based on hazard ratios (HR) from an unsupervised Cox regression model in a unified framework. Moderation by sex of the proband or relative and age of the proband at time of suicide (<25 v. ⩾25 years) was examined., Results: Significantly elevated HRs were observed in first- (HR 3.45; 95% CI 3.12-3.82) through fifth-degree relatives (HR 1.07; 95% CI 1.02-1.12) of suicide probands. Among first-degree relatives of female suicide probands, the HR of suicide was 6.99 (95% CI 3.99-12.25) in mothers, 6.39 in sisters (95% CI 3.78-10.82), and 5.65 (95% CI 3.38-9.44) in daughters. The HR in first-degree relatives of suicide probands under 25 years at death was 4.29 (95% CI 3.49-5.26)., Conclusions: Elevated familial suicide risk in relatives of female and younger suicide probands suggests that there are unique risk groups to which prevention efforts should be directed - namely suicidal young adults and women with a strong family history of suicide.

Background: After initial nonoperative management of diverticulitis, individuals with a family history of diverticulitis may have increased risk of recurrent disease., Objective: This study measured the association between family history and recurrent diverticulitis in a population-based cohort., Design: This is a retrospective, population-based cohort study., Settings: The cohort was identified from the Utah Population Database, a statewide resource linking hospital and genealogy records., Patients: Individuals evaluated in an emergency department or hospitalized between 1998 and 2018 for nonoperatively managed diverticulitis were included., Intervention: The primary predictor was a positive family history of diverticulitis, defined as diverticulitis in a first-, second-, or third-degree relative., Main Outcome Measures: This study measured the adjusted association between family history and the primary outcome of recurrent diverticulitis. A secondary outcome was elective surgery for diverticulitis. Additional analyses evaluated risk by degree of relation of the affected family member., Results: The cohort included 4426 individuals followed for a median of 71 months. Median age was 64 years and 45% were male; 17% had complicated disease, 11% had recurrence, and 15% underwent elective surgery. After adjustment, individuals with a family history of diverticulitis had a similar risk of recurrence when compared to those without a family history (HR 1.0; 95% CI 0.8-1.2). However, individuals with a family history of diverticulitis were more likely to undergo elective surgery (HR 1.4; 95% CI 1.1-1.6). This effect was most pronounced in those with an affected first-degree family member (HR 1.7; 95% CI 1.4-2.2)., Limitations: The use of state-specific data may limit generalizability., Conclusions: In this population-based analysis, individuals with a family history of diverticulitis were more likely to undergo elective surgery than those without a family history, despite similar risks of recurrence and complicated diverticulitis. Further work is necessary to understand the complex social, environmental, and genetic factors that influence diverticulitis treatment and outcomes. See Video Abstract at http://links.lww.com/DCR/B876 ., Asociacin Entre Los Antecedentes Familiares Y La Recurrencia De La Diverticulitis Un Estudio Poblacional: ANTECEDENTES:Después del tratamiento inicial no quirúrgico de la diverticulitis, las personas con antecedentes familiares de diverticulitis pueden tener un mayor riesgo de enfermedad recurrente.OBJETIVO:Este estudio midió la asociación entre antecedentes familiares y diverticulitis recurrente en una cohorte poblacional.DISEÑO:Este es un estudio de cohorte retrospectivo de la población.ENTORNO CLÍNICO:La cohorte se identificó a partir de la Base de datos de población de Utah, un recurso estatal que vincula los registros hospitalarios y genealógicos.PACIENTES:Se incluyeron individuos evaluados en un departamento de emergencias u hospitalizados entre 1998 y 2018 por diverticulitis manejada de forma no quirúrgica.INTERVENCIÓN:El predictor principal fue un historial familiar positivo de diverticulitis, definida como diverticulitis en un familiar de primer, segundo o tercer grado.PRINCIPALES MEDIDAS DE VALORACIÓN:Este estudio midió la asociación ajustada entre los antecedentes familiares y el resultado primario de diverticulitis recurrente. Un resultado secundario fue la cirugía electiva por diverticulitis. Análisis adicionales evaluaron el riesgo por grado de parentesco del familiar afectado.RESULTADOS:La cohorte incluyó a 4.426 individuos seguidos durante una mediana de 71 meses. La mediana de edad fue de 64 años y el 45% eran varones. El 17% tenía enfermedad complicada, el 11% recidiva y el 15% se sometió a cirugía electiva. Después del ajuste, los individuos con antecedentes familiares de diverticulitis tenían un riesgo similar de recurrencia en comparación con aquellos sin antecedentes familiares (HR 1,0; IC del 95%: 0,8-1,2). Sin embargo, las personas con antecedentes familiares de diverticulitis tenían más probabilidades de someterse a una cirugía electiva (HR 1,4; IC del 95%: 1,1-1,6). Este efecto fue más pronunciado en aquellos con un familiar de primer grado afectado (HR 1,7; IC del 95%: 1,4-2,2).LIMITACIONES:El uso de datos específicos del estado puede limitar la generalización.CONCLUSIONES:En este análisis poblacional, los individuos con antecedentes familiares de diverticulitis tenían más probabilidades de someterse a una cirugía electiva que aquellos sin antecedentes familiares, a pesar de riesgos similares de recurrencia y diverticulitis complicada. Es necesario seguir trabajando para comprender los complejos factores sociales, ambientales y genéticos que influyen en el tratamiento y los resultados de la diverticulitis. Consulte Video Resumen en http://links.lww.com/DCR/B876 . (Traducción-Dr. Ingrid Melo )., (Copyright © The ASCRS 2022.)

People living with HIV (PLWH) are a vulnerable patient population due to their immunosuppressed state and the risks associated with interruptions in treatment. After the unprecedented start of the COVID-19 pandemic, PLWH experienced complications involving interruptions in care and treatment, potentially leading to adverse outcomes including reduced rates of viral suppression, increased hospitalizations, and death. A systematic, comprehensive literature search was completed using PubMed, Google Scholar, and bibliography review to identify relevant articles related to clinical outcomes of HIV and SARS-CoV-2 co-infection. Related keywords were used as search terms: "COVID", "SARS-CoV-2", "coronavirus", "HIV", "viral load", "viral suppression", and "disease severity". Of the 492 results, 7 systematic reviews and 14 individual studies were included in the current review of literature regarding COVID-19-related outcomes in PLWH. In total, 2 systematic reviews and 8 individual studies found an increased rate of mortality, hospitalizations, and/or severe COVID-19 outcomes in PLWH co-infected with SARS-CoV-2, whereas the other 5 systematic reviews and 6 individual studies concluded PLWH were not at an increased risk compared to patients without HIV. Regarding viral suppression, 4 of 5 studies found viral suppression in PLWH was not impacted by the COVID-19 pandemic. The current literature suggests that the morbidity and mortality associated with SARS-CoV-2 infection in PLWH is complex and involves multiple factors including age and comorbid conditions; however, there is no clear consensus thus far. In contrast, literature consistently demonstrates that viral suppression during the pandemic has remained unchanged, potentially due to increased implementation of telemedicine and multicomponent interventions deployed., Competing Interests: Conflicts of InterestNone., (© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Introduction: Currently, there are no publicly-available estimates of indoor radon concentration at scales smaller than the county. Radon-hazard potential soil maps that reflect underlying geologic factors can be created at small geographic scale and linked to residential and census data. We determined the association between residential radon tests and high radon-hazard potential soil at the residential and block group levels using a large Utah-based dataset. We also identified characteristics of block groups with limited tests in the dataset., Methods: We geocoded a dataset of residential radon tests obtained from 2001 to 2017 by a statewide educational program. We linked each location to maps of radon-hazard potential soil, the Environmental Protection Agency's (EPA) county radon zones. We also calculated the number of tests conducted in each block group and linked block groups to demographic data from the 2020 United States census. Log-linear and logistic models identified the association between residential home test results and 1) radon-hazard potential soil of each residence, 2) percent of residences on high radon-hazard potential soils in block groups, and 3) EPA's radon zones. We compared demographic characteristics among block groups with ≥5 or <5 residential tests in our dataset., Results: Approximately 42% of homes in the dataset tested ≥4 pCi/L. We found significant positive associations for residential radon test results with 1) residential location on high radon-hazard potential soil and 2) block groups with >0% of residences on high radon-hazard potential soil. EPA radon zones were not associated with residential test results. Block groups with <5 tests had higher than the statewide median percentage of Hispanic residents (OR = 2.46, 95% CI = 1.89-3.21) and were located in rural counties., Discussion: Radon-hazard potential soil has a significant association with residential home radon tests. More efforts are needed to improve radon testing in block groups that are rural and have greater percentages of racial minorities., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Introduction: Encouraging the appropriate use of staging imaging in patients with newly diagnosed prostate cancer remains a challenge. Assessing the effects of national efforts may help guide future initiatives in curtailing low-value care. The purpose of this study was to determine the impact of the Choosing Wisely campaign on imaging utilization among men with prostate cancer., Methods: Surveillance, Epidemiology, and End Results - Medicare data were used to complete a longitudinal population-based study of men diagnosed with prostate cancer from 2007 to 2015. An interrupted time series analysis evaluated the impact of the Choosing Wisely campaign on trends of imaging utilization., Results: From 2007 to 2015 imaging utilization in low-risk patients decreased, with computed tomography (CT) usage declining from 45.0% to 34.4% (P<0.001) and nuclear medicine bone scan (NMBS) from 27.8% to 11.7% (P<0.001). Choosing Wisely likely contributed to an absolute reduction of 2.9% (P=0.03) in utilization of NMBS in the low-risk population. Imaging usage for all modalities increased in the high-risk population, but with 32.8% continuing to not receive guideline-supported imaging., Conclusions: In 2012, the Choosing Wisely campaign sought to decrease inappropriate staging imaging for men with low-risk prostate cancer and encourage stewardship of medical resources. Overall decreases in staging imaging trends suggest a move towards higher value care. However, this study found that the Choosing Wisely recommendations had a modest impact on utilization of NMBS, but not CT or PET scans. These results may help inform future efforts to promote guideline concordant imaging., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Exclusion of special populations (older adults; pregnant women, children, and adolescents; individuals of lower socioeconomic status and/or who live in rural communities; people from racial and ethnic minority groups; individuals from sexual or gender minority groups; and individuals with disabilities) in research is a pervasive problem, despite efforts and policy changes by the National Institutes of Health and other organizations. These populations are adversely impacted by social determinants of health (SDOH) that reduce access and ability to participate in biomedical research. In March 2020, the Northwestern University Clinical and Translational Sciences Institute hosted the "Lifespan and Life Course Research: integrating strategies" "Un-Meeting" to discuss barriers and solutions to underrepresentation of special populations in biomedical research. The COVID-19 pandemic highlighted how exclusion of representative populations in research can increase health inequities. We applied findings of this meeting to perform a literature review of barriers and solutions to recruitment and retention of representative populations in research and to discuss how findings are important to research conducted during the ongoing COVID-19 pandemic. We highlight the role of SDOH, review barriers and solutions to underrepresentation, and discuss the importance of a structural competency framework to improve research participation and retention among special populations., (© The Author(s) 2022.)

Objective: We sought to determine the relationship between a patient's proximal familial social support, defined as the geographic proximity of family members, and healthcare utilization after complex cardiovascular and oncologic procedures., Background: Social support mechanisms are increasingly identified as modifiable risk factors for healthcare utilization., Methods: We performed a retrospective cohort study of 60,895 patients undergoing complex cardiovascular procedures or oncologic procedures. We defined healthcare utilization outcomes as 30-day all-cause readmission unplanned readmission, nonindex hospital readmission, index hospital length of stay, and home discharge disposition. For each patient, we aggregated the number of first-degree relatives (FDR) living within 30 miles of the patient's home address at the time of the surgical procedure into the following categories: 0 to 1, 2 to 3, 4 to 5, 6+ FDRs. We developed hierarchical multivariable regression models to determine the relationship between the number of FDR living within 30 miles of the patient and the healthcare utilization outcomes., Results: Compared with patients with 0 to 1 FDRs, patients with 6+ FDRs living in close proximity had significantly lower rates of all-cause readmission (12.1% vs 13.5%, P <0.001), unplanned readmission (10.9% vs 12.0%, P =0.001), nonindex readmission (2.6% vs 3.2%, P =0.003); higher rates of home discharge (88.0% vs 85.3%, P <0.001); and shorter length of stay (7.3 vs 7.5 days, P =0.02). After multivariable adjustment, a larger number of FDRs living within 30 miles of the patient was significantly associated with a lower likelihood of all-cause readmission ( P <0.001 for trend), 30-day unplanned readmission ( P <0.001), nonindex readmission ( P <0.001); higher likelihood of home discharge ( P <0.001); and shorter index length of stay ( P <0.001)., Conclusions: The geographic proximity of family members is significantly associated with decreased healthcare utilization after complex cardiovascular and oncologic surgical procedures., Competing Interests: The authors report no conflicts of interest., (Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.)

We determine whether a suspected seasonal variability in semen quality affect subsequent live birth rates. This is a retrospective, cohort analysis of men who provided semen analyses as part of fertility workup through a large andrology lab between 1996 and 2013 and corresponding birth rates using the Utah Population Database (UPDB). Semen parameters were analysed including total motile count (TMC), total sperm count, sperm concentration and progressive motility. Corresponding live births reflect those born in the state of Utah and were derived from birth certificate data available in the UPDB. Descriptive statistics were reported along with linear regression analysis with mixed effected models to test for an interaction between seasonal variation in semen quality and birth rates, accounting for age at the time of the semen analysis and abstinence time. A total of 11,929 patients and 14,765 semen samples were included. Only 3597 men (39% of men) had one or more values outside the World Health Organization reference range for their semen parameters. Linear regression demonstrated a consistent U-shaped relationship between TMC, total sperm count, and sperm concentration and season, with spring and winter yielding the highest values with a decline in the summer and fall. 7319 of these males had recorded live births for a total of 13,502 live births during the study period after a median follow-up of 7.2 years (IQR: 3.9-11.0). We did not find a significant interaction between specific semen parameters for a specific season and subsequent live births. Semen quality was the highest in the spring and winter, however there was no interaction between seasonal variability in semen quality and subsequent births. This is one of the largest studies describing seasonal variation in semen quality in humans., (© 2022 Wiley-VCH GMbH.)

Background: Chemotherapeutic agents have been associated with cardiotoxicity; thus, they require close monitoring. Several echocardiographic variables have been investigated as early predictors of symptomatic cardiotoxicity in patients undergoing chemotherapy., Objective: To identify if global longitudinal strain (GLS) is a better predictor of symptomatic cardiotoxicity compared to left ventricular ejection fraction (LVEF) in patients receiving chemotherapy., Methods: MEDLINE, Scopus, and Cochrane Central Register of Controlled Trials were searched from inception through December 2020. Adults who developed symptomatic cardiotoxicity (New York Heart Association [NYHA] Class III-IV heart failure, cardiac arrest, or cardiac death) after undergoing chemotherapy with pre- and postchemotherapy echocardiographic measures of cardiac function were included. The primary focus was on the prediction of symptomatic cardiotoxicity. Estimates were reported as random effects hazard ratios (HR) with 95% confidence intervals (CI)., Results: Four studies met inclusion criteria. The most common malignancy identified in the included studies was breast cancer, and the most common chemotherapeutic agent utilized was anthracyclines. Most studies utilized the Simpson biplane method to measure echocardiographic parameters. Pooled results demonstrated no significant association between LVEF and the prediction of symptomatic cardiotoxicity (HR 1.48; 95% CI, 0.96-2.27; P = 0.07). However, 2 studies that analyzed GLS found it to be a strong predictor of symptomatic cardiotoxicity (HR 1.46; 95% CI, 1.34-1.58; P < .001). There was no significant association between symptomatic cardiotoxicity and baseline left ventricular end diastolic volume, end systolic volume, or end diastolic volume index., Conclusions: GLS may predict symptomatic cardiotoxicity and be used to monitor patients on chemotherapy for symptomatic cardiac dysfunction. While the pooled results for baseline LVEF identified that it is not a predictor of symptomatic cardiotoxicity, this differs from the findings of the only randomized trial included in this meta-analysis. The data for baseline GLS as a predictor of symptomatic cardiotoxicity is encouraging, but definite evidence that GLS may be superior to LVEF is lacking. Prospective randomized, blinded trials are required to identify if 1 echocardiographic parameter may be superior to the other., Competing Interests: The authors have no funding and conflict of interest to declare., (Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.)

The pathogenesis of multifactorial malignant diseases, with variable onset, severity, and natural history, reflects development-specific exposures and individual responses to these exposures influenced by underlying genetic predisposition. Embedded in life course theory, exposomics provides a framework to more fully elucidate how environmental factors alter cancer risk, disease course, and response to treatment across the lifespan., Competing Interests: Declaration of interests None declared by authors., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Purpose: Patients with high-grade renal trauma (HGRT) undergoing nephrectomy may be at higher risk for mortality compared to those treated conservatively. However, no study has controlled for degree of hemorrhage as a measure of shock. We hypothesized that after controlling for blood transfusions and other factors, nephrectomy after HGRT would be associated with increased mortality and acute kidney injury (AKI)., Materials and Methods: We identified adult patients with HGRT (American Association for the Surgery of Trauma grade III-V) in TQIP (2013-2017). Propensity scoring was used to adjust for the probability of nephrectomy. Conditional logistic regression was used to analyze the association between nephrectomy and mortality and AKI. We adjusted for patient characteristics, injury specifics, and physiological factors including blood transfusions., Results: There were 12,780 patients with HGRT, and 1,014 (7.9%) underwent nephrectomy. Mortality was 10.6% and 4.2% in the nephrectomy and nonnephrectomy groups, respectively (p <0.001). In nephrectomy patients, 8.6% experienced AKI vs 2.4% of nonnephrectomy patients (p <0.001). In the adjusted analysis, there was no association between nephrectomy and mortality (OR=0.367, 95% CI 0.09-1.497, p=0.162). There was also no association between nephrectomy and AKI. Increasing age, nonCaucasian race, increasing Injury Severity Score, decreasing Glasgow Coma Score and blood transfusions were associated with higher mortality. For AKI, independent predictors included increasing age, male sex, and blood transfusions., Conclusions: After adjusting for volume of blood transfused in the first 24 hours, nephrectomy after HGRT was not associated with increased mortality or AKI. As a clinical principle, trauma nephrectomy should be avoided when possible.

We determine the time to first live birth for female partners of males after a cancer diagnosis. Our group performed a retrospective, population-based, age-matched cohort study of Utah male residents diagnosed with cancer at age 18 years or later between 1956 and 2013 (exposed) matched to male Utah residents without cancer diagnosis (unexposed). Using stratified Cox proportional hazard models, we adjusted for race, ethnicity and number of live births prior to cancer diagnosis, to estimate the effect of time to a partner live birth following cancer diagnosis. Our study cohort included 19,303 men diagnosed with cancer (exposed) and 93,608 age-matched men without cancer diagnoses (unexposed). Exposed men were less likely to have a live birth prior to first cancer diagnosis (60.7% vs. 65.4%, p < 0.001) and after first cancer diagnosis (10.9% vs. 12.2%, p < 0.001) compared to unexposed men. Exposed men had a fertility hazard rate that was 31% lower after cancer diagnosis date than unexposed men (HR: 0.69; 95% CI: 0.65-0.72). This was most profound for men aged 18-30 years (HR: 0.59, 95% CI: 0.55-0.63). Male cancer survivors have a 31% lower female partner live birth rate after cancer diagnosis. These findings are important for patient counselling regarding fertility preservation at the time of cancer diagnosis., (© 2021 Wiley-VCH GmbH.)

Background: Low-value prostate-specific antigen (PSA) testing is common yet contributes substantial waste and downstream patient harm. Decision fatigue may represent an actionable target to reduce low-value urologic care. The objective of this study was to determine whether low-value PSA testing patterns by outpatient clinicians are consistent with decision fatigue., Methods: Outpatient appointments for adult men without prostate cancer were identified at a large academic health system from 2011 through 2018. The authors assessed the association of appointment time with the likelihood of PSA testing, stratified by patient age and appropriateness of testing based on clinical guidelines. Appointments included those scheduled between 8:00 am and 4:59 pm, with noon omitted. Urologists were examined separately from other clinicians., Results: In 1,581,826 outpatient appointments identified, the median patient age was 54 years (interquartile range, 37-66 years), 1,256,152 participants (79.4%) were White, and 133,693 (8.5%) had family history of prostate cancer. PSA testing would have been appropriate in 36.8% of appointments. Clinicians ordered testing in 3.6% of appropriate appointments and in 1.8% of low-value appointments. Appropriate testing was most likely at 8:00 am (reference group). PSA testing declined through 11:00 am (odds ratio [OR], 0.57; 95% CI, 0.50-0.64) and remained depressed through 4:00 pm (P < .001). Low-value testing was overall less likely (P < .001) and followed a similar trend, declining steadily from 8:00 am (OR, 0.48; 95% CI, 0.42-0.56) through 4:00 pm (P < .001; OR, 0.23; 95% CI, 0.18-0.30). Testing patterns in urologists were noticeably different., Conclusions: Among most clinicians, outpatient PSA testing behaviors appear to be consistent with decision fatigue. These findings establish decision fatigue as a promising, actionable target for reducing wasteful and low-value practices in routine urologic care., Lay Summary: Decision fatigue causes poorer choices to be made with repetitive decision making. This study used medical records to investigate whether decision fatigue influenced clinicians' likelihood of ordering a low-value screening test (prostate-specific antigen [PSA]) for prostate cancer. In more than 1.5 million outpatient appointments by adult men without prostate cancer, the chances of both appropriate and low-value PSA testing declined as the clinic day progressed, with a larger decline for appropriate testing. Testing patterns in urologists were different from those reported by other clinicians. The authors conclude that outpatient PSA testing behaviors appear to be consistent with decision fatigue among most clinicians, and interventions may reduce wasteful testing and downstream patient harms., (© 2021 American Cancer Society.)

Study Question: What thresholds for total sperm count, sperm concentration, progressive motility, and total progressive motile sperm count (TPMC) are associated with earlier time-to-conception in couples undergoing fertility evaluation?, Summary Answer: Values well above the World Health Organization (WHO) references for total sperm count, concentration, and progressive motility, and values up to 100 million for TPMC were consistently associated with earlier time-to-conception and higher conception rates., What Is Known Already: Although individual semen parameters are generally not able to distinguish between fertile and infertile men, they can provide clinically useful information on time-to-pregnancy for counseling patients seeking fertility treatment. Compared to the conventional semen parameters, TPMC might be a better index for evaluating the severity of male infertility., Study Design, Size, Duration: We used data from a longitudinal cohort study on subfertile men from 2002 to 2017 and included 6061 men with initial semen analysis (SA) in the study., Participants/materials, Setting, Methods: Men from subfertile couples who underwent a SA within the study period were included, and 5-year follow-up data were collected to capture conception data. Couples were further categorized into two subgroups: natural conception (n = 5126), after separating those who achieved conception using ART or IUI; natural conception without major female factor (n = 3753), after separating those with severe female factor infertility diagnoses. TPMC was calculated by multiplying the semen volume (ml) by sperm concentration (million/ml) and the percentage of progressively motile sperm (%). Cox proportional hazard models were used to report hazard ratios (HRs) with 95% CIs before and after adjusting for male age, the number of previous children before the first SA, and income. Using the regression tree method, we calculated thresholds for total sperm count, sperm concentration, progressive motility, and TPMC to best differentiate those who were more likely to conceive within 5 years after first SA from those less likely to conceive. We also plotted continuous values of semen parameters in predicting 5-year conception rates and time-to-conception., Main Results and the Role of Chance: Overall, the median time to conception was 22 months (95% CI: 21-23). A total of 3957 (65%) couples were known to have achieved conception within 5 years of the first SA. These patients were younger and had higher values of sperm concentration, progressive motility, and TPMC. In the overall cohort, a TPMC of 50 million best differentiated men who were more likely to father a child within 5 years. Partners of men with TPMC ≥50 million had a 45% greater chance of conception within 5 years in the adjusted model (HR: 1.45; 95% CI: 1.34-1.58) and achieved pregnancy earlier compared to those men with TPMC < 50 million (median 19 months (95% CI: 18-20) versus 36 months (95% CI: 32-41)). Similar results were observed in the natural conception cohort. For the natural conception cohort without major female factor, the TPMC cut-off was 20 million. In the visual assessment of the graphs for the continuous semen parameter values, 5-year conception rates and time-to-conception consistently plateaued at higher values of sperm concentration, total sperm count, progressive motility, and TPMC compared to the WHO reference levels and our calculated thresholds. For TPMC, values up to 100-150 million were still associated with a better conception rate and time-to-conception in the visual assessment of the curves., Limitations, Reasons for Caution: There was limited information on female partners and potential for inaccuracies in capturing less severe female infertility diagnoses. Also we lacked details on assisted pregnancies achieved outside of our healthcare network (with possible miscoding as 'natural conception' in our cohort). We only used the initial SA and sperm morphology, another potentially important parameter, was not included in the analyses. We had no information on continuity of pregnancy attempts/intention, which could affect the time-to-conception data. Finally, most couples had been attempting conception for >12 months prior to initiating fertility treatment, so it is likely that we are underestimating time to conception. Importantly, our data might lack the generalizability to other populations., Wider Implications of the Findings: Our results suggest that a TPMC threshold of 50 million sperm provided the best predictive power to estimate earlier time-to-conception in couples evaluated for male factor infertility. Higher values of sperm count, concentration and progressive motility beyond the WHO references were still associated with better conception rates and time-to-conception. This provides an opportunity to optimize semen parameters in those with semen values that are low but not abnormal according to the WHO reference values. These data can be used to better inform patients regarding their chances of conception per year when SA results are used for patient counseling., Study Funding/competing Interest(s): None., Trial Registration Number: N/A., (© The Author(s) 2021. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Fetal aneuploidy risk increases with maternal age, but the majority of pregnancies complicated by trisomy 21 occur in younger women. It has been suggested that grandmaternal and/or paternal age may also play a role., Objectives: To assess the association between grandmaternal and paternal age and trisomy 21., Methods: For the grandmaternal assessments, we included all offspring with trisomy 21 in a statewide birth defects surveillance system (1995-2015) that could be linked to 3-generation matrilineal pedigrees in the Utah Population Database. Ten sex/birth year-matched controls were selected for each case (770 cases and 7700 controls). For the paternal assessments, our cohort included all trisomy 21 cases (1995-2015) where both the mother and father resided in Utah at the time of birth (1409 cases and 14 090 controls). Ages were categorised by 5-year intervals (reference: 25-29 years). Conditional logistic regression, adjusting for potential confounding factors, was used to model the association between grandmaternal and paternal age and trisomy 21., Results: No association between grandmaternal age and trisomy 21 was detected, whether age was assessed continuously (adjusted odds ratio [OR] 1.01, 95% confidence interval [CI] 0.98, 1.03) or categorically after adjusting for grandmaternal and grandpaternal race/ethnicity and grandpaternal age. Compared to fathers aged 20-29 years, fathers <20 years (OR 3.15, 95% CI 1.99, 4.98) and 20-24 years (OR 1.39, 95% CI 1.11, 1.73) had increased odds of trisomy 21 offspring, after adjusting for maternal and paternal race/ethnicity and maternal age. Results were consistent after excluding stillbirths, multiples, and trisomy 21 due to translocation or mosaicism., Conclusions: Maternal age is an important risk factor for trisomy 21 offspring; however, this population-based study shows that that young paternal age is also associated with trisomy 21, after taking into account maternal age and race/ethnicity., (© 2020 John Wiley & Sons Ltd.)

Purpose: To describe the association between contemporary total motile count (TMC), a measure of male factor infertility, and historic intergenerational family size., Methods: This is a retrospective, population-based, cohort study of men who underwent semen analysis for infertility workup at University of Utah, with at least a single measure of TMC, who were linked to extensive genealogical data. Two thousand one hundred eighty-two pedigree branches of men with a measure of TMC within the UPDB were identified. We identified the average number of generations and offspring within each generation. Conditional logistic regression models were used to assess the association between the risk of having a TMC in the 5th or 25th percentile and intergenerational family size. Generalized estimating equations (GEE) were used to assess the association between interval-level TMC and the number of ancestral offspring., Results: We found no association between intergenerational size and TMC within the 5th percentile (TMC < 4 million; RR = 0.97, 95% CI 0.93-1.01) or the 25th percentile (TMC < 62 million; RR = 1.00, 95% CI 0.97-1.03). When TMC was analyzed as a continuous variable, we found that lower TMC is associated with smaller intergenerational family size. For every additional child in their ancestral pedigree, we observed an increase in TMC of 1.88 million (p = 0.03). Men in the top quartile for intergenerational family size had a TMC that was 48 million higher than men in the bottom quartile (p = 0.047)., Conclusions: We found an association between TMC and ancestral family size, suggesting that lower TMC is associated with smaller intergenerational family size.

Fine particulate matter <2.5 µm (PM 2.5 ) air pollution is implicated in global mortality, especially from cardiovascular causes. A large body of evidence suggests a link between PM 2.5 and elevation in blood pressure (BP), with the latter implicated as a potential mediator of cardiovascular events. We sought to determine if the outcomes of intensive BP lowering (systolic BP <120 mm Hg) on cardiovascular events are modified by PM 2.5 exposure in the SPRINT (Systolic BP Intervention Trial). We linked annual PM 2.5 exposure estimates derived from an integrated model to subjects participating in SPRINT. We evaluated the effect of intensive BP lowering by PM 2.5 exposure on the primary outcome in SPRINT using cox-proportional hazard models. A total of 9286 participants were linked to PM 2.5 levels (mean age 68±9 years). Intensive BP-lowering decreased risk of the primary outcome more among patients exposed to higher PM 2.5 ( P interaction =0.047). The estimate for lowering of primary outcome was numerically lower in the highest than in the lower quintiles. The benefits of intensive BP-lowering were larger among patients chronically exposed to PM 2.5 levels above US National Ambient Air Quality Standards of 12 µg/m 3 (hazard ratio, 0.47 [95% CI, 0.29-0.74]) compared with those living in cleaner locations (hazard ratio, 0.81 [95% CI, 0.68-0.97]), P interaction =0.037. This exploratory nonprespecified post hoc analysis of SPRINT suggests that the benefits of intensive BP lowering on the primary outcome was greater in patients exposed to higher PM 2.5 , suggesting that the magnitude of benefit may depend upon the magnitude of antecedent PM 2.5 exposure.

Introduction: Prostate cancer screening using prostate-specific antigen (PSA) testing remains widespread. The prevalence of PSA testing in young men is unknown and may be an appropriate target for improving health care by decreasing low-value testing in this age group. The purpose of this study was to determine PSA testing rates in men younger than current guidelines support., Materials and Methods: Health Informational National Trends Surveys (HINTS) from 2011 to 2014 and 2017 were analyzed to establish the prevalence of PSA testing in young men and to evaluate the differences in testing rates based on race., Results: The combined survey data included 5178 men, with 2393 reporting previous PSA screening. Of men ages 18-39, 7% recalled receipt of PSA testing. Twenty-two percent of men between the ages of 40 and 44 had been tested. Among men under age 40, PSA testing was more common among black men (14%) compared to white men (7%), Hispanics (6%), and men of Asian descent (8%). Logistic regression modeling demonstrates that black men under the age of 40 were more likely to undergo PSA testing than other racial or ethnic groups (odds ratio 2.14; 95% CI 1.17, 3.93)., Conclusions: Current guidelines do not recommend routine PSA testing in average-risk men under the age of 40. This study found that a significant number of young men are exposed to testing, with the greatest risk among black men. This suggests that there is an opportunity to improve the value of PSA testing by decreasing testing in young men., (© 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Purpose: The majority of high grade renal trauma can be managed conservatively. However, nephrectomy is still common for acute management. We hypothesized that when controlling for multiple injury severity measures, nephrectomy would be associated with increased mortality., Materials and Methods: We identified high grade renal trauma patients from the National Trauma Data Bank® from 2007-2016. Exclusion criteria were age <18 years, severe head injury and death within 4 hours of admission. We performed conditional logistic regression analysis to determine if nephrectomy was independently associated with mortality, controlling for age, gender, race/ethnicity, mechanism of injury, shock, blood transfusion, Glasgow Coma Scale, Revised Trauma Score and Injury Severity Score. Interaction was measured for mechanism of injury and shock with mortality., Results: We identified 42,898 patients with high grade renal trauma (grade III-V), of whom 3,204 (7.5%) underwent nephrectomy. Unadjusted mortality was 16.6% in nephrectomy vs 5.7% in nonnephrectomy patients. In multivariable logistic regression, nephrectomy was associated with 82% increased odds of death (OR 1.82, 95% CI 1.63-2.03, p <0.001). Other significant associations with death included age, nonWhite race, penetrating mechanism, hypotension, blood transfusion, lower Glasgow Coma Scale, lower Revised Trauma Score and higher Injury Severity Score. The association between nephrectomy and death did not differ by mechanism of injury. However, it was slightly attenuated in patients presenting in shock., Conclusions: In the National Trauma Data Bank, nephrectomy is independently associated with increased risk of mortality after adjusting for patient demographics, injury characteristics and multiple measures of overall injury severity. Nephrectomy may impact overall survival and must be avoided when possible.

Background: To increase bed capacity and resources, hospitals have postponed elective surgeries, although the financial impact of this decision is unknown. We sought to report elective surgical case distribution, associated gross hospital revenue and regional hospital and intensive care unit (ICU) bed capacity as elective surgical cases are cancelled and then resumed under simulated trends of COVID-19 incidence., Methods: A retrospective, cohort analysis was performed using insurance claims from 161 million enrollees from the MarketScan database from January 1, 2008 to December 31, 2017. COVID-19 cases were calculated using Institute for Health Metrics and Evaluation models. Centers for Disease Control (CDC) reports on the number of hospitalized and intensive care patients by age estimated the number of cases seen in the ICU, the reduction in elective surgeries and the financial impact of this from historic claims data, using a denominator of all inpatient revenue and outpatient surgeries., Results: Assuming 5% infection prevalence, cancelling all elective procedures decreases ICU overcapacity from 160 to 130%, but these elective surgical cases contribute 78% (IQR 74, 80) (1.1 trillion (T) US dollars) to inpatient hospital plus outpatient surgical gross revenue per year. Musculoskeletal, circulatory and digestive category elective surgical cases compose 33% ($447B) of total revenue., Conclusions: Procedures involving the musculoskeletal, cardiovascular and digestive system account for the largest loss of hospital gross revenue when elective surgery is postponed. As hospital bed capacity increases following the COVID-19 pandemic, restoring volume of these elective cases will help maintain revenue. In these estimates, adopting universal masking would help to avoid overcapacity in all states.

Although the associations among marital status, fertility, bereavement, and adult mortality have been widely studied, much less is known about these associations in polygamous households, which remain prevalent across much of the world. We use data from the Utah Population Database on 110,890 women and 106,979 men born up to 1900, with mortality follow-up into the twentieth century. We examine how the number of wife deaths affects male mortality in polygamous marriages, how sister wife deaths affect female mortality in polygamous marriages relative to the death of a husband, and how marriage order affects the mortality of women in polygamous marriages. We also examine how the number of children ever born and child deaths affect the mortality of men and women as well as variation across monogamous and polygamous unions. Our analyses of women show that the death of a husband and the death of a sister wife have similar effects on mortality. Marriage order does not play a role in the mortality of women in polygamous marriages. For men, the death of one wife in a polygamous marriage increases mortality to a lesser extent than it does for men in monogamous marriages. For polygamous men, losing additional wives has a dose-response effect. Both child deaths and lower fertility are associated with higher mortality. We consistently find that the presence of other kin in the household-whether a second wife, a sister wife, or children-mitigates the negative effects of bereavement.

Background: Air pollution is a carcinogen and causes pulmonary and cardiac complications. We examined the association of fine particulate matter pollution (PM 2.5 ) and mortality from cancer and all causes among pediatric, adolescent, and young adult (AYA) patients with cancer in Utah, a state with considerable variation in PM 2.5 ., Methods: We followed 2,444 pediatric (diagnosed ages 0-14) and 13,459 AYA (diagnosed ages 15-39) patients diagnosed in 1986-2015 from diagnosis to 5 and 10 years postdiagnosis, death, or emigration. We measured average monthly PM 2.5 by ZIP code during follow-up. Separate pediatric and AYA multivariable Cox models estimated the association of PM 2.5 and mortality. Among AYAs, we examined effect modification of PM 2.5 and mortality by stage while controlling for cancer type., Results: Increases in PM 2.5 per 5 μg/m 3 were associated with cancer mortality in pediatric lymphomas and central nervous system (CNS) tumors at both time points, and all cause mortality in lymphoid leukemias [HR 5-year = 1.32 (1.02-1.71)]. Among AYAs, PM 2.5 per 5 μg/m 3 was associated with cancer mortality in CNS tumors and carcinomas at both time points, and all cause mortality for all AYA cancer types [HR 5-year = 1.06 (1.01-1.13)]. PM 2.5 ≥12 μg/m 3 was associated with cancer mortality among breast [HR 5-year = 1.50 (1.29-1.74); HR 10-year = 1.30 (1.13-1.50)] and colorectal cancers [HR 5-year = 1.74 (1.29-2.35); HR 10-year = 1.67 (1.20-2.31)] at both time points. Effect modification by stage was significant, with local tumors at highest risk., Conclusions: PM 2.5 was associated with mortality in pediatric and AYA patients with specific cancers., Impact: Limiting PM 2.5 exposure may be important for young cancer patients with certain cancers. See all articles in this CEBP Focus section, "Environmental Carcinogenesis: Pathways to Prevention.", (©2020 American Association for Cancer Research.)

Purpose: A life course perspective to cancer incidence is important for understanding effects of the environment during early life on later cancer risk. We assessed spatial clusters of cancer incidence based on early life location defined as 1940 US Census Enumeration District (ED)., Methods: A cohort of 260,585 individuals aged 0-40 years in 1940 was selected. Individuals were followed from 1940 to cancer diagnosis, death, or last residence in Utah. We geocoded ED centroids in Utah for the 1940 Census. Spatial scan statistics with purely spatial elliptic scanning window were used to identify spatial clusters of EDs with excess cancer rates across 26 cancer types, assuming a discrete Poisson model., Results: Cancer was diagnosed in 66,904 (25.67%) individuals during follow-up across 892 EDs. Average follow-up was 50.9 years. We detected 15 clusters of excess risk for bladder, breast, cervix, colon, lung, melanoma, oral, ovary, prostate, and soft tissue cancers. An urban area had dense overlap of multiple cancer types, including two EDs at increased risk for five cancer types each., Conclusions: Early environments may contribute to cancer risk later in life. Life course perspectives applied to the study of cancer incidence can provide insights for increasing understanding of cancer etiology.

Life course research embraces the complexity of health and disease development, tackling the extensive interactions between genetics and environment. This interdisciplinary blueprint, or theoretical framework, offers a structure for research ideas and specifies relationships between related factors. Traditionally, methodological approaches attempt to reduce the complexity of these dynamic interactions and decompose health into component parts, ignoring the complex reciprocal interaction of factors that shape health over time. New methods that match the epistemological foundation of the life course framework are needed to fully explore adaptive, multilevel, and reciprocal interactions between individuals and their environment. The focus of this article is to (1) delineate the differences between lifespan and life course research, (2) articulate the importance of complex systems science as a methodological framework in the life course research toolbox to guide our research questions, (3) raise key questions that can be asked within the clinical and translational science domain utilizing this framework, and (4) provide recommendations for life course research implementation, charting the way forward. Recent advances in computational analytics, computer science, and data collection could be used to approximate, measure, and analyze the intertwining and dynamic nature of genetic and environmental factors involved in health development., Competing Interests: The authors declare no potential conflicts of interest., (© The Association for Clinical and Translational Science 2020.)

Background: Prostate-specific antigen (PSA) testing for early detection of prostate cancer is low-value when it is not indicated by guidelines and the harms outweigh the benefits. In this retrospective cohort study, we identify provider and patient factors associated with PSA testing, particularly in situations where testing would be low-value., Methods: We used electronic health record data from 2011 to 2018 representing 1,738,021 health system encounters in the United States. Using logistic generalized estimating equation models, we examined patient factors (age, comorbid illness, family history, race and prior PSA results), provider factors (gender, specialty, graduation year and medical school rank), and overall time trends associated with PSA testing in low-value and appropriate settings., Results: Comorbid illness (odds ratio (OR) 0.0 for 3+ conditions vs none) and no prior PSA testing (OR 0.2) were associated with a lower likelihood of PSA testing in low-value situations, while family history of prostate cancer (OR 1.6) and high prior PSA test results (OR 2.2 for PSA > 6 vs 0-1) were associated with a greater likelihood. Men aged 55-65 years were at greatest risk for PSA testing in low-value situations. The provider factor associated with PSA testing in low-value situations was specialty, with urologists being most likely (OR 2.3 versus advanced practice providers). Internal medicine physicians were more likely to perform PSA testing during low-value situations (OR 1.3 versus advanced practice providers) but much more likely to order a PSA test where appropriate (OR 2.2). All PSA testing decreased since 2011., Conclusion: We identified several patient and provider factors associated with PSA testing in low-value settings. Some aspects suggest attention to relevant factors for PSA testing in low-value settings (e.g. comorbid illness), while others may encourage PSA testing in low-value settings (e.g. family history). The greatest likelihood of PSA testing in low-value settings is among men within the age range most commonly recommended by guidelines., Competing Interests: Declaration of Competing Interest None to declare from any authors., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Modeling of genomic profiles from the Cancer Genome Atlas (TCGA) by using recently developed mathematical frameworks has associated a genome-wide pattern of DNA copy-number alterations with a shorter, roughly one-year, median survival time in glioblastoma (GBM) patients. Here, to experimentally test this relationship, we whole-genome sequenced DNA from tumor samples of patients. We show that the patients represent the U.S. adult GBM population in terms of most normal and disease phenotypes. Intratumor heterogeneity affects ≈ 11 % and profiling technology and reference human genome specifics affect <1% of the classifications of the tumors by the pattern, where experimental batch effects normally reduce the reproducibility, i.e., precision, of classifications based upon between one to a few hundred genomic loci by >30%. With a 2.25-year Kaplan-Meier median survival difference, a 3.5 univariate Cox hazard ratio, and a 0.78 concordance index, i.e., accuracy, the pattern predicts survival better than and independent of age at diagnosis, which has been the best indicator since 1950. The prognostic classification by the pattern may, therefore, help to manage GBM pseudoprogression. The diagnostic classification may help drugs progress to regulatory approval. The therapeutic predictions, of previously unrecognized targets that are correlated with survival, may lead to new drugs. Other methods missed this relationship in the roughly 3B-nucleotide genomes of the small, order of magnitude of 100, patient cohorts, e.g., from TCGA. Previous attempts to associate GBM genotypes with patient phenotypes were unsuccessful. This is a proof of principle that the frameworks are uniquely suitable for discovering clinically actionable genotype-phenotype relationships., (© Author(s).)

Background: Relatives of patients with bladder cancer have been shown to be at increased risk for kidney, lung, thyroid, and cervical cancer after correcting for smoking-related behaviors that may concentrate in some families. We demonstrate a novel approach to simultaneously assess risks for multiple cancers to identify distinct multicancer configurations (multiple different cancer types that cluster in relatives) surrounding patients with familial bladder cancer., Methods: This study takes advantage of a unique population-level data resource, the Utah Population Database (UPDB), containing vast genealogy and statewide cancer data. Familial risk is measured using standardized incidence risk (SIR) ratios that account for sex, age, birth cohort, and person-years of the pedigree members., Results: We identify 1,023 families with a significantly higher bladder cancer rate than population controls (familial bladder cancer). Familial SIRs are then calculated across 25 cancer types, and a weighted Gower distance with K-medoids clustering is used to identify familial multicancer configurations (FMC). We found five FMCs, each exhibiting a different pattern of cancer aggregation. Of the 25 cancer types studied, kidney and prostate cancers were most commonly enriched in the familial bladder cancer clusters. Laryngeal, lung, stomach, acute lymphocytic leukemia, Hodgkin disease, soft-tissue carcinoma, esophageal, breast, lung, uterine, thyroid, and melanoma cancers were the other cancer types with increased incidence in familial bladder cancer families., Conclusions: This study identified five familial bladder cancer FMCs showing unique risk patterns for cancers of other organs, suggesting phenotypic heterogeneity familial bladder cancer., Impact: FMC configurations could permit better definitions of cancer phenotypes (subtypes or multicancer) for gene discovery and environmental risk factor studies., (©2020 American Association for Cancer Research.)

Objective: To improve our understanding of timely access to urologic care, we leveraged driving time combined with a measure of urologist density., Materials and Methods: We identified all urologists who billed Medicare using National Provider Identifier in 2015 and geocoded their practice location. We developed drive-time based service areas for each provider using Esri's street network dataset stratified into 30, 60, 90, and 120-minute areas. Population characteristics were aggregated and block groups were assigned to a Hospital Referral Region., Results: We identified 10,170 urologists that billed Medicare in 2015 in the United States. Compared to the northeast, vast expanses of land across the western United States have drive times to urology care >60 minutes. However, less than 13% of the US population is unable to obtain urologic care within 30 minutes. Likely reflecting rural populations, White and American Indian populations are represented in greater proportion among those requiring a longer drive time to urologic care. Disparities were noted between areas with timely access to a high versus low density of urologists; low density areas have a greater proportion of Black and Asian populations and greater income inequality., Conclusions: Drive time to urologists combined with urologist density is a novel approach to investigating urologic care access and a tool for health disparities research. While almost all of the US population lives within 1-hour drive time to a urologist there remains important differences in the population severed by high compared to low provider density., (Copyright © 2020 Elsevier Inc. All rights reserved.)