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Introduction: Cardiorespiratory fitness (CRF) is an independent predictor of voluminous health outcomes and can be measured using non-exercise fitness assessment (NEFA) equations. However, the accuracy of such equations in Asian populations is unknown. The objective of this study was to cross-validate the NEFA equation, developed by Jurca et al in 2005, in the adult Singaporean population.Methods: A total of 100 participants (57 men, 43 women; aged 18-65 years) were recruited, and their maximal oxygen consumption (VO2 max) was measured in the laboratory by indirect calorimetry. The participants also completed the NEFA questionnaire, which helps to predict VO2 max with the NEFA equation. The relationship between NEFA-predicted and laboratory-measured VO2 max values was analysed.Results: Overall, our study demonstrated a high correlation between the NEFA-predicted and laboratory-measured VO2 max values (r = 0.83). The Pearson's correlation coefficient values for the men and women in the study were 0.61 and 0.77, respectively. To improve the accuracy of the predictive equation, we transformed the original equation developed by Jurca et al into new equations that would allow estimation of VO2 max with and without resting heart rate as a variable.Conclusion: The modified NEFA equations accurately estimated CRF and may be applied to the majority of adult Singaporeans. With this, health practitioners and researchers are now able to assess CRF levels at both the individual and population levels in either the primary care, fitness or research setting. [ABSTRACT FROM AUTHOR]

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.)

Importance: Standard of care for unresectable locally advanced non-small cell lung cancer (NSCLC) involves definitive chemoradiotherapy followed by maintenance therapy with durvalumab. However, the cost of durvalumab has been cited as a barrier to its use in various health systems., Objective: To evaluate the cost-effectiveness of durvalumab vs placebo as maintenance therapy in patients with unresectable stage III NSCLC from 4 international payer perspectives (US, Brazil, Singapore, and Spain)., Design, Setting, and Participants: In this economic evaluation, a Markov model was designed to compare the lifetime cost-effectiveness of maintenance durvalumab for unresectable stage III NSCLC with that of placebo, using 5-year outcomes data from the PACIFIC randomized placebo-controlled trial. Individual patient data were extracted from the PACIFIC, KEYNOTE-189, ADAURA, ALEX, and REVEL randomized clinical trials to develop a decision-analytic model to determine the cost-effectiveness of durvalumab compared with placebo maintenance therapy over a 10-year time horizon. Direct costs, adverse events, and patient characteristics were based on country-specific payer perspectives and demographic characteristics. The study was conducted from June 1, 2022, through December 27, 2023., Main Outcomes and Measures: Life-years, quality-adjusted life years (QALYs), lifetime costs, and incremental cost-effectiveness ratios (ICERs) were estimated at country-specific willingness-to-pay thresholds ([data reported in US$] US: $150 000 per QALY; Brazil: $22 251 per QALY; Singapore: $55 288 per QALY, and Spain: $107 069 per QALY). One-way and probabilistic sensitivity analyses were performed to account for parameters of uncertainty. A cost-threshold analysis was also performed., Results: The US base-case model found that treatment with durvalumab was associated with an increased cost of $114 394 and improved effectiveness of 0.50 QALYs compared with placebo, leading to an ICER of $228 788 per QALY. Incremental cost-effectiveness ratios, according to base-case models, were $141 146 for Brazil, $153 461 for Singapore, and $125 193 for Spain. Durvalumab price adjustments to the PACIFIC data improved cost-effectiveness in Singapore, with an ICER of $45 164. The model was most sensitive to the utility of durvalumab., Conclusions and Relevance: In this cost-effectiveness analysis of durvalumab as maintenance therapy for unresectable stage III NSCLC, the therapy was found to be cost-prohibitive from the perspective of various international payers according to country-specific willingness-to-pay thresholds per QALY. The findings of the study suggest that discounted durvalumab acquisition costs, as possible in Singapore, might improve cost-effectiveness globally.

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.

Observational data (e.g. electronic health records) has become increasingly important in evidence-based research on dynamic treatment regimes, which tailor treatments over time to patients based on their characteristics and evolving clinical history. It is of great interest for clinicians and statisticians to identify an optimal dynamic treatment regime that can produce the best expected clinical outcome for each individual and thus maximize the treatment benefit over the population. Observational data impose various challenges for using statistical tools to estimate optimal dynamic treatment regimes. Notably, the task becomes more sophisticated when the clinical outcome of primary interest is time-to-event. Here, we propose a matching-based machine learning method to identify the optimal dynamic treatment regime with time-to-event outcomes subject to right-censoring using electronic health record data. In contrast to the established inverse probability weighting-based dynamic treatment regime methods, our proposed approach provides better protection against model misspecification and extreme weights in the context of treatment sequences, effectively addressing a prevalent challenge in the longitudinal analysis of electronic health record data. In simulations, the proposed method demonstrates robust performance across a range of scenarios. In addition, we illustrate the method with an application to estimate optimal dynamic treatment regimes for patients with advanced non-small cell lung cancer using a real-world, nationwide electronic health record database from Flatiron Health., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Objectives: To pilot and assess the feasibility, acceptability, and preliminary effects of the Rural Adult and Youth Sun (RAYS) protection program, a multilevel skin cancer preventive intervention for young children living in rural U.S. communities, delivered through community-organized team sports., Method: Three rural counties in Utah participated with two receiving the intervention and the third serving as a control. Youth sports leagues were recruited through recreation departments and the study took place from May through October 2021. Intervention leagues received sun protection supplies for players and coaches, educational materials for parents, and coaches were offered training on skin cancer and sun protection behaviors., Results: The RAYS program is both feasible to deliver and acceptable to coaches, parents, and players. The intervention also demonstrates beneficial preliminary effects on components of observed child sun-protective behaviors, coach sun protection behaviors, knowledge of skin cancer prevention recommendations, and self-efficacy in skin cancer prevention., Conclusions: Multilevel interventions for skin cancer prevention among young children can be successfully delivered through community organizations and their settings. A priority moving forward is the identification of ways to optimize delivery of such programs to positively influence skin cancer preventive behaviors among children living in diverse rural areas. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Objectives: In a real-world trial, we previously demonstrated that Huntsman at Home, a novel oncology hospital at home program, was associated with reduced health care utilization and costs. In this study, we sought to understand the impact of Huntsman at Home in specific patient subgroups defined by sex, age, area-level median income, Charlson Comorbidity Index, and current use of systemic anticancer therapy., Design: Retrospective case-control study of the Huntsman Cancer Institute. Electronic Data Warehouse of patients enrolled in Huntsman at Home between August 2018 through October 2019 vs usual-care patients., Setting and Participants: A total of 169 patients admitted to Huntsman at Home compared with 198 usual-care patients., Methods: Five dichotomous subgroups evaluated including sex (female vs male), age (≥65 vs <65), income (≥$78,735 vs <$78,735), Charlson Comorbidity Index (≥2 vs <2), and current systemic anticancer therapy use vs no current systemic anticancer therapy. Groups were compared with patients receiving usual care. Primary outcomes included 30-day costs, hospital length of stay, unplanned hospitalizations, and emergency room visits., Results: Admission to Huntsman at Home was associated with an overall reduction across all 4 health care cost and utilization outcomes. Outcomes favoring admission to Huntsman at Home achieved statistical significance (P < .05) in at least 2 of the 4 outcomes for each subgroup studied. Of the subgroups that did not achieve statistically significant benefit from Huntsman at Home admission in some outcome categories, none of these subgroups favored usual care., Conclusions and Implications: Admission to Huntsman at Home decreased utilization of unplanned health care and reduced costs across a wide spectrum of patient subgroups, suggesting overall consistent benefit from the service. Hospital at home models should be considered as a means by which the quality and efficiency of care can be maximized for patients with cancer., (Copyright © 2023 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Multiplex molecular diagnostic panels have greatly enhanced detection of gastrointestinal pathogens. However, data on the impact of these tests on clinical and patient-centered outcomes are limited., Methods: We conducted a prospective, multicenter, stepped-wedge trial to determine the impact of multiplex molecular testing at 5 academic children's hospitals on children presenting to the emergency department with acute gastroenteritis. Caregivers were interviewed on enrollment and 7-10 days after enrollment to determine symptoms, risk factors, subsequent medical visits, and impact on family members. During the pre-intervention period, diagnostic testing was performed at the clinician's discretion . During the intervention period, multiplex molecular testing was performed on all children, with results available to clinicians. The primary outcome was return visits to a healthcare provider within 10 days of enrollment., Results: Potential pathogens were identified by clinician-ordered tests in 19 of 571 (3.3%) in the pre-intervention period compared with 434 of 586 (74%) in the intervention period; clinically relevant pathogens were detected in 2.1% and 15%, respectively. In the multivariate model, the intervention was associated with a 21% reduction in the odds of any return visit (odds ratio, 0.79; 95% confidence interval, .70-.90) after adjusting for potential confounders. Appropriate treatment was prescribed in 11.3% compared with 19.6% during the intervention period (P = .22)., Conclusions: Routine molecular multiplex testing for all children who presented to the ED with acute gastroenteritis detected more clinically relevant pathogens and led to a 21% decrease in return visits. Additional research is needed to define patients most likely to benefit from testing. Clinical Trials Registration. NCT02248285., Competing Interests: Potential conflicts of interest. J. D. B reports research support and consulting funding from bioMerieux. R. S. reports reseach funding from Biomerieux, Hologic, Qiagen, Abbott, Cepheid, and Luminex. J. M. B reports consulting fees from Gradientech. J. D. B. reports consulting fees from bioMerieux. K. M. H. and K. M. B. are employees of bioMerieux. A. M. L. reports consulting or research funding from Cepheid, Meridian Diagnostics, Diasorin, and Hologic. All other authors report no potential conflicts of interest. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background: Few studies have evaluated mental health disorders comprehensively among patients with prostate cancer on long-term follow-up. The primary aim of our study was to assess the incidence of mental health disorders among patients with prostate cancer compared with a general population cohort. A secondary aim was to investigate potential risk factors for mental health disorders among patients with prostate cancer., Methods: Cohorts of 18 134 patients with prostate adenocarcinomas diagnosed between 2004 and 2017 and 73470 men without cancer matched on age, birth state, and follow-up time were identified. Mental health diagnoses were identified from electronic health records and statewide health-care facilities data. Cox proportional hazard models were used to estimate hazard ratios. All statistical tests were 2-sided., Results: The hazard ratios for mood disorders, including depression, among prostate cancer survivors increased for all follow-up periods compared with the general population. The hazard ratios for any mental illness increased with Hispanic, Black, or multiple races; people who were underweight or obese; those with advanced prostate cancer; and those undergoing their first course cancer treatment. We also observed statistically significantly increased hazard ratios for mental health disorders among patients with lower socioeconomic status (P < .0001) and increasing duration of androgen-deprivation therapy (P = .0348). Prostate cancer survivors had a 61% increased hazard ratio for death with a depression diagnosis., Conclusion: Prostate cancer diagnosis was associated with a higher risk of mental health disorders compared with the general population, which was observed as long as 10-16 years after cancer diagnosis. Providing long-term mental health support may be beneficial to increasing life expectancy for patients with prostate cancer., (© The Author(s) 2023. Published by Oxford University Press. 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.)

Background: Health care use and costs have undergone an increase in public scrutiny. Other specialties have evaluated practice patterns of their most highly reimbursed surgeons and found unique billing and procedure overuse. In this study, we evaluate Medicare payments to general thoracic surgeons and evaluate those with the highest reimbursements., Methods: The 2018 Medicare Provider Utilization Data were queried to identify thoracic surgeons. Services were grouped into common categories: Evaluation and Management, Lung/Pleura, Foregut, Chest Wall, Airway, Diaphragm, Mediastinum, Endoscopy, and Transplant. Payment data were analyzed for surgeons receiving the top 1% of Medicare payments and the remainder of the workforce., Results: In 2018, 2000 unique self-identified thoracic surgeons received a total of $54,734,736 in payments from Medicare for thoracic-related services. The top 1% of thoracic surgeons (n = 20) received $4,607,561, or 8.4% of total payments. Inpatient Evaluation and Management was the leading payment category for the top 1% (48.5% of payments), whereas Outpatient Evaluation and Management led for the remaining workforce (43.5% of payments). Whereas the surgical procedure code with overall highest reimbursement for both groups was Current Procedural Terminology (American Medical Association) 32663 (video-assisted thoracic surgery lobectomy), there was a difference with an increased use of high relative value unit unbundled Current Procedural Terminology codes in the highest earners., Conclusions: A disproportionate amount of Medicare reimbursement went to top 1%. The highest earners appeared to earn the most from inpatient treatment codes and also used unbundled codes more often. Because billing code use is not regulated and often subjective, a deeper evaluation by the major surgical societies may be warranted., (Copyright © 2024 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Creatinine and cystatin-C are recommended for estimating glomerular filtration rate (eGFR) but accuracy is suboptimal. Here, using untargeted metabolomics data, we sought to identify candidate filtration markers for a new targeted assay using a novel approach based on their maximal joint association with measured GFR (mGFR) and with flexibility to consider their biological properties. We analyzed metabolites measured in seven diverse studies encompasing 2,851 participants on the Metabolon H4 platform that had Pearson correlations with log mGFR and used a stepwise approach to develop models to < -0.5 estimate mGFR with and without inclusion of creatinine that enabled selection of candidate markers. In total, 456 identified metabolites were present in all studies, and 36 had correlations with mGFR < -0.5. A total of 2,225 models were developed that included these metabolites; all with lower root mean square errors and smaller coefficients for demographic variables compared to estimates using untargeted creatinine. Seventeen metabolites were chosen, including 12 new candidate filtration markers. The selected metabolites had strong associations with mGFR and little dependence on demographic factors. Candidate metabolites were identified with maximal joint association with mGFR and minimal dependence on demographic variables across many varied clinical settings. These metabolites are excreted in urine and represent diverse metabolic pathways and tubular handling. Thus, our data can be used to select metabolites for a multi-analyte eGFR determination assay using mass spectrometry that potentially offers better accuracy and is less prone to non-GFR determinants than the current eGFR biomarkers., (Copyright © 2023 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.)

Background and Aims: Patient navigation (PN) may benefit pregnant individuals with opioid use disorder (OUD) by improving treatment adherence. We examined participant enrollment, session delivery and assessment feasibility for a PN intervention among pregnant participants and compared PN preliminary effectiveness for OUD treatment engagement with participants in usual care (UC)., Design: This study was a pilot single-blinded multi-site randomized trial., Setting: Two academic medical centers in Pennsylvania (n = 57) and Utah (n = 45), United States participated., Participants: One hundred and two pregnant adult participants unestablished (fewer than 6 weeks) on medication for OUD (MOUD) were randomized to PN (n = 53) or UC (n = 49)., Intervention: PN was composed of 10 prenatal sessions (delivered after baseline but before the prenatal assessments) and four postnatal sessions (delivered before the 2- and 6-month postpartum assessments) focused upon OUD treatment and physical/mental health needs. UC involved brief case management., Measurements: Feasibility assessments included consent, session delivery and assessment rates. Mixed-effect models for intent-to-treat (ITT) and per protocol (PP, received six or more sessions) populations were estimated to compare outcomes of MOUD use, secondary outcomes of substance use disorder (SUD) treatment attendance and non-prescribed opioid use, and exploratory outcome of overdose at baseline, predelivery and 2 and 6 months postpartum., Findings: We consented 87% (106 of 122) of the proposed target, delivered ~60% of sessions delivered and completed ≥ 75% assessments. PN ITT and PP had better MOUD adherence, SUD treatment attendance, non-prescribed opioid use and overdose outcomes than UC. Notable changes included good evidence for greater percentage change in days for PN PP MOUD use from baseline to 2 months postpartum [PN = 28.0 versus UC = -10.9, 95% confidence interval (CI) = 9.7, 62.1] and some evidence for baseline to 6 months postpartum (PN = 45.4 versus UC = 23.4, 95% CI = -0.7, 48.2). PN PP percentage change in days for SUD treatment attendance also showed good evidence for improvements from baseline to prenatal assessment (PN = 7.4 versus UC = -21.3, 95% CI = 3.3, 53.5). PN compared to UC participants reported fewer overdoses at 2 months (PN = 11.9%/UC = 16.1%) and at 6 months postpartum (PN = 3.8%/UC = 6.2%)., Conclusions: Patient navigation appears to be associated with improvements in opioid use disorder treatment engagement and overdoses during pregnancy. This pilot trial shows the feasibility of the intervention and a future large-scale trial., (© 2023 Society for the Study of Addiction.)

Background: Surrogate endpoints, such as those of interest in chronic kidney disease (CKD), are often evaluated using Bayesian meta-regression. Trials used for the analysis can evaluate a variety of interventions for different sub-classifications of disease, which can introduce two additional goals in the analysis. The first is to infer the quality of the surrogate within specific trial subgroups defined by disease or intervention classes. The second is to generate more targeted subgroup-specific predictions of treatment effects on the clinical endpoint., Methods: Using real data from a collection of CKD trials and a simulation study, we contrasted surrogate endpoint evaluations under different hierarchical Bayesian approaches. Each approach we considered induces different assumptions regarding the relatedness (exchangeability) of trials within and between subgroups. These include partial-pooling approaches, which allow subgroup-specific meta-regressions and, yet, facilitate data adaptive information sharing across subgroups to potentially improve inferential precision. Because partial-pooling models come with additional parameters relative to a standard approach assuming one meta-regression for the entire set of studies, we performed analyses to understand the impact of the parameterization and priors with the overall goals of comparing precision in estimates of subgroup-specific meta-regression parameters and predictive performance., Results: In the analyses considered, partial-pooling approaches to surrogate endpoint evaluation improved accuracy of estimation of subgroup-specific meta-regression parameters relative to fitting separate models within subgroups. A random rather than fixed effects approach led to reduced bias in estimation of meta-regression parameters and in prediction in subgroups where the surrogate was strong. Finally, we found that subgroup-specific meta-regression posteriors were robust to use of constrained priors under the partial-pooling approach, and that use of constrained priors could facilitate more precise prediction for clinical effects in trials of a subgroup not available for the initial surrogacy evaluation., Conclusion: Partial-pooling modeling strategies should be considered for surrogate endpoint evaluation on collections of heterogeneous studies. Fitting these models comes with additional complexity related to choosing priors. Constrained priors should be considered when using partial-pooling models when the goal is to predict the treatment effect on the clinical endpoint., (© 2024. The Author(s).)