Association Between Gender and Salary Among Pediatric Hospital Medicine Physicians.

OBJECTIVES: Gender-based disparities in salary exist in multiple fields of medicine. However, there is limited data examining gender inequities in salary in pediatric hospital medicine (PHM). Our primary objective was to assess whether gender-based salary differences exist in PHM. The secondary objective was to assess if, among women, the differences in salary varied on the basis of leadership positions or self-identified race and ethnicity. METHODS: We conducted a survey-based, cross-sectional study of pediatric hospitalists in December 2021. Our primary outcomes were base and total salary, adjusted for the reported number of average weekly work hours. We performed subanalyses by presence of a leadership position, as well as race. We used a weighted t test using inverse probability weighting to compare the outcomes between genders. RESULTS: A total of 559 eligible people responded to our survey (51.0%). After propensity score weighting, women's mean base salary was 87.7% of men's base (95% confidence interval [CI] 79.8%-96.4%, P < .01), and women's total salary was 85.6% of men's total (95% CI 73.2%-100.0%, P = .05) salary. On subgroup analysis of respondents with a leadership position, women's total salary was 80.6% of men's total salary (95% CI 68.7%-94.4%, P < .01). Although women who identified as white had base salaries that were 86.6% of white men's base salary (95% CI 78.5%-95.5%, P < .01), there was no gender-based difference noted between respondents that identified as nonwhite (88.4% [69.9%-111.7%] for base salary, 80.3% [57.2% to 112.7%]). CONCLUSIONS: Gender-based discrepancies in salary exists in PHM, which were increased among those with leadership roles. Continued work and advocacy are required to achieve salary equity within PHM.

Assessment of aortic hemodynamics in patients with thoracoabdominal aortic aneurysm using four-dimensional magnetic resonance imaging: a cross-sectional study.

Background: Thoracoabdominal aortic aneurysms (TAAAs) are rare but complicated aortic pathologies that can result in high morbidity and mortality. The whole-aorta hemodynamic characteristics of TAAA survivors remains unknown. This study sought to obtain a comprehensive view of flow hemodynamics of the whole aorta in patients with TAAA using four-dimensional flow (4D flow) magnetic resonance imaging (MRI). Methods: This study included patients who had experienced TAAA or abdominal aortic aneurysm (AAA) and age- and sex-matched volunteers who had attended China Hospital from December 2021 to December 2022 in West. Patients with unstable ruptured aneurysm or other cardiovascular diseases were excluded. 4D-flow MRI that covered the whole aorta was acquired. Both planar parameters [(regurgitation fraction (RF), peak systolic velocity (Vmax), overall wall shear stress (WSS)] and segmental parameters [pulse wave velocity (PWV) and viscous energy loss (VEL)] were generated during postprocessing. The Student's t-test or Mann-Whitney test was used to compare flow dynamics among the three groups. Results: A total of 11 patients with TAAA (mean age 53.2±11.9 years; 10 males), 19 patients with AAA (mean age 58.0±11.7 years; 16 males), and 21 controls (mean age 55.4±15.0 years; 19 males) were analyzed. The patients with TAAA demonstrated a significantly higher RF and lower Vmax in the aortic arch compared to healthy controls. The whole length of the aorta in patients with TAAA was characterized by lower WSS, predominantly in the planes of pulmonary artery bifurcation and the middle infrarenal planes (all P values <0.001). As for segmental hemodynamics, compared to controls, patients with TAAA had a significantly higher PWV in the thoracic aorta (TAAA: median 11.41 m/s, IQR 9.56-14.32 m/s; control: median 7.21 m/s, IQR 5.57-7.79 m/s; P<0.001) as did those with AAA (AAA: median 8.75 m/s, IQR 7.35-10.75 m/s; control: median 7.21 m/s, IQR 5.57-7.79 m/s; P=0.024). Moreover, a greater VEL was observed in the whole aorta and abdominal aorta in patients with TAAA. Conclusions: Patients with TAAA exhibited a stiffer aortic wall with a lower WSS and a greater VEL for the whole aorta, which was accompanied by a higher RF and lower peak velocity in the dilated portion of the aorta.

Health Care Access Dimensions and Racial Disparities in End-of-Life Care Quality among Patients with Ovarian Cancer.

This study investigated the association between health care access (HCA) dimensions and racial disparities in end-of-life (EOL) care quality among non-Hispanic Black (NHB), non-Hispanic White (NHW), and Hispanic patients with ovarian cancer. This retrospective cohort study used the Surveillance, Epidemiology, and End Results-linked Medicare data for women diagnosed with ovarian cancer from 2008 to 2015, ages 65 years and older. Health care affordability, accessibility, and availability measures were assessed at the census tract or regional levels, and associations between these measures and quality of EOL care were examined using multivariable-adjusted regression models, as appropriate. The final sample included 4,646 women [mean age (SD), 77.5 (7.0) years]; 87.4% NHW, 6.9% NHB, and 5.7% Hispanic. In the multivariable-adjusted models, affordability was associated with a decreased risk of intensive care unit stay [adjusted relative risk (aRR) 0.90, 95% confidence interval (CI): 0.83-0.98] and in-hospital death (aRR 0.91, 95% CI: 0.84-0.98). After adjustment for HCA dimensions, NHB patients had lower-quality EOL care compared with NHW patients, defined as: increased risk of hospitalization in the last 30 days of life (aRR 1.16, 95% CI: 1.03-1.30), no hospice care (aRR 1.23, 95% CI: 1.04-1.44), in-hospital death (aRR 1.27, 95% CI: 1.03-1.57), and higher counts of poor-quality EOL care outcomes (count ratio:1.19, 95% CI: 1.04-1.36). HCA dimensions were strong predictors of EOL care quality; however, racial disparities persisted, suggesting that additional drivers of these disparities remain to be identified. SIGNIFICANCE: Among patients with ovarian cancer, Black patients had lower-quality EOL care, even after adjusting for three structural barriers to HCA, namely affordability, availability, and accessibility. This suggests an important need to investigate the roles of yet unexplored barriers to HCA such as accommodation and acceptability, as drivers of poor-quality EOL care among Black patients with ovarian cancer.

Health-care access dimensions and ovarian cancer survival: SEER-Medicare analysis of the ORCHiD study.

BACKGROUND: Racial and ethnic disparities in ovarian cancer (OC) survival are well-documented. However, few studies have investigated how health-care access (HCA) contributes to these disparities. METHODS: To evaluate the influence of HCA on OC mortality, we analyzed 2008-2015 Surveillance, Epidemiology, and End Results-Medicare data. Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between HCA dimensions (affordability, availability, accessibility) and OC-specific and all-cause mortality, adjusting for patient characteristics and treatment receipt. RESULTS: The study cohort included 7590 OC patients: 454 (6.0%) Hispanic, 501 (6.6%) Non-Hispanic (NH) Black, and 6635 (87.4%) NH White. Higher affordability (HR = 0.90, 95% CI = 0.87 to 0.94), availability (HR = 0.95, 95% CI = 0.92 to 0.99), and accessibility scores (HR = 0.93, 95% CI = 0.87 to 0.99) were associated with lower risk of OC mortality after adjusting for demographic and clinical factors. Racial disparities were observed after additional adjustment for these HCA dimensions: NH Black patients experienced a 26% higher risk of OC mortality compared with NH White patients (HR = 1.26, 95% CI = 1.11 to 1.43) and a 45% higher risk among patients who survived at least 12 months (HR = 1.45, 95% CI = 1.16 to 1.81). CONCLUSIONS: HCA dimensions are statistically significantly associated with mortality after OC and explain some, but not all, of the observed racial disparity in survival of patients with OC. Although equalizing access to quality health care remains critical, research on other HCA dimensions is needed to determine additional factors contributing to disparate OC outcomes by race and ethnicity and advance the field toward health equity.

Factor Analysis of Health Care Access With Ovarian Cancer Surgery and Gynecologic Oncologist Consultation.

Importance: Poor health care access (HCA) is associated with racial and ethnic disparities in ovarian cancer (OC) survival. Objective: To generate composite scores representing health care affordability, availability, and accessibility via factor analysis and to evaluate the association between each score and key indicators of guideline-adherent care. Design, Setting, and Participants: This retrospective cohort study used data from patients with OC diagnosed between 2008 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) Medicare database. The SEER Medicare database uses cancer registry data and linked Medicare claims from 12 US states. Included patients were Hispanic, non-Hispanic Black, and non-Hispanic White individuals aged 65 years or older diagnosed from 2008 to 2015 with first or second primary OC of any histologic type (International Classification of Diseases for Oncology, 3rd Edition [ICD-O-3] code C569). Data were analyzed from June 2020 to June 2022. Exposures: The SEER-Medicare data set was linked with publicly available data sets to obtain 35 variables representing health care affordability, availability, and accessibility. A composite score was created for each dimension using confirmatory factor analysis followed by a promax (oblique) rotation on multiple component variables. Main Outcomes and Measures: The main outcomes were consultation with a gynecologic oncologist for OC and receipt of OC-related surgery in the 2 months prior to or 6 months after diagnosis. Results: The cohort included 8987 patients, with a mean (SD) age of 76.8 (7.3) years and 612 Black patients (6.8%), 553 Hispanic patients (6.2%), and 7822 White patients (87.0%). Black patients (adjusted odds ratio [aOR], 0.75; 95% CI, 0.62-0.91) and Hispanic patients (aOR, 0.81; 95% CI, 0.67-0.99) were less likely to consult a gynecologic oncologist compared with White patients, and Black patients were less likely to receive surgery after adjusting for demographic and clinical characteristics (aOR, 0.76; 95% CI, 0.62-0.94). HCA availability and affordability were each associated with gynecologic oncologist consultation (availability: aOR, 1.16; 95% CI, 1.09-1.24; affordability: aOR, 1.13; 95% CI, 1.07-1.20), while affordability was associated with receipt of OC surgery (aOR, 1.08; 95% CI, 1.01-1.15). In models mutually adjusted for availability, affordability, and accessibility, Black patients remained less likely to consult a gynecologic oncologist (aOR, 0.80; 95% CI, 0.66-0.97) and receive surgery (aOR, 0.80; 95% CI, 0.65-0.99). Conclusions and Relevance: In this cohort study of Hispanic, non-Hispanic Black, and non-Hispanic White patients with OC, HCA affordability and availability were significantly associated with receiving surgery and consulting a gynecologic oncologist. However, these dimensions did not fully explain racial and ethnic disparities.

Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis.

BACKGROUND: Ovarian cancer survival disparities have persisted for decades, driven by lack of access to quality treatment. We conducted structural equation modeling (SEM) to define latent variables representing three healthcare access (HCA) domains: affordability, availability, and accessibility, and evaluated the direct and indirect associations between race and ovarian cancer treatment mediated through the HCA domains. METHODS: Patients with ovarian cancer ages 65 years or older diagnosed between 2008 and 2015 were identified from the SEER-Medicare dataset. Generalized SEM was used to estimate latent variables representing HCA domains by race in relation to two measures of ovarian cancer-treatment quality: gynecologic oncology consultation and receipt of any ovarian cancer surgery. RESULTS: A total of 8,987 patients with ovarian cancer were included in the analysis; 7% were Black. The affordability [Ω: 0.876; average variance extracted (AVE) = 0.689], availability (Ω: 0.848; AVE = 0.636), and accessibility (Ω: 0.798; AVE = 0.634) latent variables showed high composite reliability in SEM analysis. Black patients had lower affordability and availability, but higher accessibility compared with non-Black patients. In fully adjusted models, there was no direct effect observed between Black race to receipt of surgery [ß: -0.044; 95% confidence interval (CI), -0.264 to 0.149]; however, there was an inverse total effect (ß: -0.243; 95% CI, -0.079 to -0.011) that was driven by HCA affordability (ß: -0.025; 95% CI, -0.036 to -0.013), as well as pathways that included availability and consultation with a gynecologist oncologist. CONCLUSIONS: Racial differences in ovarian cancer treatment appear to be driven by latent variables representing healthcare affordability, availability, and accessibility. IMPACT: Strategies to mitigate disparities in multiple HCA domains will be transformative in advancing equity in cancer treatment.

Healthcare Access Dimensions and Guideline-Concordant Ovarian Cancer Treatment: SEER-Medicare Analysis of the ORCHiD Study.

BACKGROUND: Racial disparities exist in receipt of guideline-concordant treatment of ovarian cancer (OC). However, few studies have evaluated how various dimensions of healthcare access (HCA) contribute to these disparities. METHODS: We analyzed data from non-Hispanic (NH)-Black, Hispanic, and NH-White patients with OC diagnosed in 2008 to 2015 from the SEER-Medicare database and defined HCA dimensions as affordability, availability, and accessibility, measured as aggregate scores created with factor analysis. Receipt of guideline-concordant OC surgery and chemotherapy was defined based on the NCCN Guidelines for Ovarian Cancer. Multivariable-adjusted modified Poisson regression models were used to assess the relative risk (RR) for guideline-concordant treatment in relation to HCA. RESULTS: The study cohort included 5,632 patients: 6% NH-Black, 6% Hispanic, and 88% NH-White. Only 23.8% of NH-White patients received guideline-concordant surgery and the full cycles of chemotherapy versus 14.2% of NH-Black patients. Higher affordability (RR, 1.05; 95% CI, 1.01-1.08) and availability (RR, 1.06; 95% CI, 1.02-1.10) were associated with receipt of guideline-concordant surgery, whereas higher affordability was associated with initiation of systemic therapy (hazard ratio, 1.09; 95% CI, 1.05-1.13). After adjusting for all 3 HCA scores and demographic and clinical characteristics, NH-Black patients remained less likely than NH-White patients to initiate systemic therapy (hazard ratio, 0.86; 95% CI, 0.75-0.99). CONCLUSIONS: Multiple HCA dimensions predict receipt of guideline-concordant treatment but do not fully explain racial disparities among patients with OC. Acceptability and accommodation are 2 additional HCA dimensions which may be critical to addressing these disparities.

Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients.

OBJECTIVE: Lack of access to supportive care (SC) among cancer patients have been well documented. However, the role of affordability in this disparity among ovarian cancer (OC) patients remain poorly understood. METHODS: Patients with OC between 2008 and 2015 were identified from the SEER-Medicare dataset. Racial disparities in utilization of SC medications within the six months of OC diagnosis among patients with Medicare Part D coverage was examined. Multivariable log-binomial regression models were used to examine the associations of race, affordability and SC medications after adjusting for clinical covariates among all patients and separately among patients with advanced-stage disease. RESULTS: The study cohort included 3697 patients: 86% non-Hispanic White (NHW), 6% non-Hispanic Black (NHB), and 8% Hispanic. In adjusted models, NHB and Hispanic patients were less likely to receive antidepressants compared to NHW patients (NHB: aOR 0.46; 95% CI 0.33-0.63 and Hispanic: aOR 0.79; 95% CI 0.63-0.99). This association persisted for NHB patients with advanced-stage disease (aOR 0.42; 95% CI 0.28-0.62). Patients dual enrolled in Medicaid were more likely to receive antidepressants (overall: aOR 1.34; 95% CI 1.17-1.53 and advanced-stage: aOR 1.29; 95% CI 1.10-1.52). However, patients residing in areas with higher vs. lower proportions of lower educated adults (overall: aOR 0.82; 95% CI 0.70-0.97 and advanced-stage: aOR 0.82; 95% CI 0.68-0.99) were less likely to receive antidepressants. CONCLUSION: Black OC patients and those living in lower educated areas were less likely to receive antidepressants as SC. Given the importance of post-primary treatment quality of life for cancer patients, interventions are needed to enhance equitable access to SC.

Improved Registration Algorithm Based on Double Threshold Feature Extraction and Distance Disparity Matrix.

Entire surface point clouds in complex objects cannot be captured in a single direction by using noncontact measurement methods, such as machine vision; therefore, different direction point clouds should be obtained and registered. However, high efficiency and precision are crucial for registration methods when dealing with huge number of point clouds. To solve this problem, an improved registration algorithm based on double threshold feature extraction and distance disparity matrix (DDM) is proposed in this study. Firstly, feature points are extracted with double thresholds using normal vectors and curvature to reduce the number of points. Secondly, a fast point feature histogram is established to describe the feature points and obtain the initial corresponding point pairs. Thirdly, obviously wrong corresponding point pairs are eliminated as much as possible by analysing the Euclidean invariant features of rigid body transformation combined with the DDM algorithm. Finally, the sample consensus initial alignment and the iterative closest point algorithms are used to complete the registration. Experimental results show that the proposed algorithm can quickly process large data point clouds and achieve efficient and precise matching of target objects. It can be used to improve the efficiency and precision of registration in distributed or mobile 3D measurement systems.

Clinical measurement of lupus nephritis activity is inferior to biomarker-based activity assessment using the renal activity index for lupus nephritis in childhood-onset systemic lupus erythematosus.

OBJECTIVES: The renal activity index for lupus (RAIL) measures lupus nephritis (LN) activity considering urine levels of 6 biomarkers (neutrophil gelatinase-associated lipocalin, monocyte chemoattractant protein-1, kidney injury molecule-1, adiponectin, haemopexin, ceruloplasmin). We aimed to compare the accuracy of the RAIL and the renal domain-score of the SLE disease activity index (rSLEDAI) in detecting LN activity. METHODS: Random urine samples of patients with childhood-onset SLE with and without LN were assayed and scores of the RAIL, and RAIL standardised for urine creatinine (RAIL-Cr) were calculated. Clinical LN activity was measured by the rSLEDAI, and histological activity of LN was categorised as inactive/low-moderate/high for National Institute of Health-activity index scores of <2/2-10/>10, respectively. RESULTS: 115 patients were included in the analysis (47 patients without and 68 with LN). RAIL, RAIL-Cr and rSLEDAI scores at the time (±3 months) of kidney biopsy were available for 32 patients. Median rSLEDAI, RAIL and RAIL-Cr values were 4, -0.04, 0.02 for inactive LN, 12, 0.7 and 0.9 for low-moderate LN activity and 12, 2 and 1.8 for high LN activity, respectively. The area under the receiver operating characteristic curve (AUC) to capture high LN activity was the lowest for the rSLEDAI (AUC=0.62), followed by the RAIL-Cr (AUC=0.73) and RAIL (AUC=0.79). Notably, when testing urine samples collected during routine clinic visits remote (>3 months) from a kidney biopsy, 50% patients with rSLEDAI scores of 0 had RAIL scores reflecting low-moderate LN activity. CONCLUSION: Monitoring of renal inflammation in children and adolescents with SLE can be improved by the measurement of urine biomarkers. The RAIL may constitute important auxiliary tool for the surveillance of LN in a clinical setting and assist with the decision to obtain a kidney biopsy.

Associations of Healthcare Affordability, Availability, and Accessibility with Quality Treatment Metrics in Patients with Ovarian Cancer.

BACKGROUND: Differential access to quality care is associated with racial disparities in ovarian cancer survival. Few studies have examined the association of multiple healthcare access (HCA) dimensions with racial disparities in quality treatment metrics, that is, primary debulking surgery performed by a gynecologic oncologist and initiation of guideline-recommended systemic therapy. METHODS: We analyzed data for patients with ovarian cancer diagnosed from 2008 to 2015 in the Surveillance, Epidemiology, and End Results-Medicare database. We defined HCA dimensions as affordability, availability, and accessibility. Modified Poisson regressions with sandwich error estimation were used to estimate the relative risk (RR) for quality treatment. RESULTS: The study cohort was 7% NH-Black, 6% Hispanic, and 87% NH-White. Overall, 29% of patients received surgery and 68% initiated systemic therapy. After adjusting for clinical variables, NH-Black patients were less likely to receive surgery [RR, 0.83; 95% confidence interval (CI), 0.70-0.98]; the observed association was attenuated after adjusting for healthcare affordability, accessibility, and availability (RR, 0.91; 95% CI, 0.77-1.08). Dual enrollment in Medicaid and Medicare compared with Medicare only was associated with lower likelihood of receiving surgery (RR, 0.86; 95% CI, 0.76-0.97) and systemic therapy (RR, 0.94; 95% CI, 0.92-0.97). Receiving treatment at a facility in the highest quartile of ovarian cancer surgical volume was associated with higher likelihood of surgery (RR, 1.12; 95% CI, 1.04-1.21). CONCLUSIONS: Racial differences were observed in ovarian cancer treatment quality and were partly explained by multiple HCA dimensions. IMPACT: Strategies to mitigate racial disparities in ovarian cancer treatment quality must focus on multiple HCA dimensions. Additional dimensions, acceptability and accommodation, may also be key to addressing disparities.

The value of ultrasound for the preoperative assessment of carotid body tumors.

OBJECTIVES: To evaluate the value of ultrasound (US) examination for the preoperative assessment of carotid body tumors (CBTs) and to predict surgical outcomes. METHODS: A total of 15 CBT lesions in 15 patients were included in this study. CBT measurements determined using US, and included maximal diameter, volume, tumor distance to base of skull (DTBOS), and carotid wall infiltration. A correlation analysis was conducted to determine the correlation between US measurements and surgical outcomes, including estimated blood loss (EBL), cranial nerve injury, surgical time, and hospital length of stay (HLOS). RESULTS: EBL showed a high level of correlation with the maximal dimeter (r = 0.596, p < .05) and the volume of the tumor (r = 0.864, p < .05). Surgical time was positively correlated with tumor volume (r = 0.592, p < .05) and negatively correlated with DTBOS (r = -0.554, p < .05). There was no significant correlation (p > .05) shown between cranial nerve injury and US variables. HLOS showed the high degree of correlation with the maximal dimeter (r = 0.658, p < .05), and was also negatively correlated with DTBOS (r = -0.620, p < .00). CONCLUSIONS: US examination allows for the visualization of features of CBTs, which is a useful and safe tool to be used to predict surgical outcomes. Further research is necessary to validate this exploration method for the preoperative assessment of CBTs.

Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer.

INTRODUCTION: Less than 40% of patients with ovarian cancer (OC) in the USA receive stage-appropriate guideline-adherent surgery and chemotherapy. Black patients with cancer report greater depression, pain and fatigue than white patients. Lack of access to healthcare likely contributes to low treatment rates and racial differences in outcomes. The Ovarian Cancer Epidemiology, Healthcare Access and Disparities study aims to characterise healthcare access (HCA) across five specific dimensions-Availability, Affordability, Accessibility, Accommodation and Acceptability-among black, Hispanic and white patients with OC, evaluate the impact of HCA on quality of treatment, supportive care and survival, and explore biological mechanisms that may contribute to OC disparities. METHODS AND ANALYSIS: We will use the Surveillance Epidemiology and Ends Results dataset linked with Medicare claims data from 9744 patients with OC ages 65 years and older. We will recruit 1641 patients with OC (413 black, 299 Hispanic and 929 white) from cancer registries in nine US states. We will examine HCA dimensions in relation to three main outcomes: (1) receipt of quality, guideline adherent initial treatment and supportive care, (2) quality of life based on patient-reported outcomes and (3) survival. We will obtain saliva and vaginal microbiome samples to examine prognostic biomarkers. We will use hierarchical regression models to estimate the impact of HCA dimensions across patient, neighbourhood, provider and hospital levels, with random effects to account for clustering. Multilevel structural equation models will estimate the total, direct and indirect effects of race on treatment mediated through HCA dimensions. ETHICS AND DISSEMINATION: Result dissemination will occur through presentations at national meetings and in collaboration with collaborators, community partners and colleagues across othercancer centres. We will disclose findings to key stakeholders, including scientists, providers and community members. This study has been approved by the Duke Institutional Review Board (Pro00101872). Safety considerations include protection of patient privacy. All disseminated data will be deidentified and summarised.

Molecular Tumor Board Review and Improved Overall Survival in Non-Small-Cell Lung Cancer.

With the introduction of precision medicine, treatment options for non-small-cell lung cancer have improved dramatically; however, underutilization, especially in disadvantaged patients, like those living in rural Appalachian regions, is associated with poorer survival. Molecular tumor boards (MTBs) represent a strategy to increase precision medicine use. UK HealthCare at the University of Kentucky (UK) implemented a statewide MTB in January 2017. We wanted to test the impact of UK MTB review on overall survival in Appalachian and other regions in Kentucky. METHODS: We performed a case-control study of Kentucky patients newly diagnosed with non-small-cell lung cancer between 2017 and 2019. Cases were reviewed by the UK MTB and were compared with controls without UK MTB review. Controls were identified from the Kentucky Cancer Registry and propensity-matched to cases. The primary end point was the association between MTB review and overall patient survival. RESULTS: Overall, 956 patients were included, with 343 (39%) residing in an Appalachian region. Seventy-seven (8.1%) were reviewed by the MTB and classified as cases. Cox regression analysis showed that poorer survival outcome was associated with lack of MTB review (hazard ratio [HR] = 8.61; 95% CI, 3.83 to 19.31; P < .0001) and living in an Appalachian region (hazard ratio = 1.43; 95% CI, 1.17 to 1.75; P = .004). Among individuals with MTB review, survival outcomes were similar regardless of whether they lived in Appalachia or other parts of Kentucky. CONCLUSION: MTB review is an independent positive predictor of overall survival regardless of residence location. MTBs may help overcome some health disparities for disadvantaged populations.

Predicting the risk of postoperative acute kidney injury: development and assessment of a novel predictive nomogram.

OBJECTIVE: This study aimed to establish and internally verify the risk nomogram of postoperative acute kidney injury (AKI) in patients with renal cell carcinoma. METHODS: We retrospectively collected data from 559 patients with renal cell carcinoma from June 2016 to May 2019 and established a prediction model. Twenty-six clinical variables were examined by least absolute shrinkage and selection operator regression analysis, and variables related to postoperative AKI were determined. The prediction model was established by multiple logistic regression analysis. Decision curve analysis was conducted to evaluate the nomogram. RESULTS: Independent predictors of postoperative AKI were smoking, hypertension, surgical time, blood glucose, blood uric acid, alanine aminotransferase, estimated glomerular filtration rate, and radical nephrectomy. The C index of the nomogram was 0.825 (0.790-0.860) and 0.814 was still obtained in the internal validation. The nomogram had better clinical benefit when the intervention was decided at the threshold probabilities of >4% and <79% for patients and doctors, respectively. CONCLUSIONS: This novel postoperative AKI nomogram incorporating smoking, hypertension, the surgical time, blood glucose, blood uric acid, alanine aminotransferase, the estimated glomerular filtration rate, and radical nephrectomy is convenient for facilitating the individual postoperative risk prediction of AKI in patients with renal cell carcinoma.

Genetic ancestry differences in pediatric asthma readmission are mediated by socioenvironmental factors.

BACKGROUND: Social and financial hardships, combined with disease managment and environmental factors explain approximately 80% of the observed disparity in asthma-related readmissions between Black and White children. OBJECTIVE: We sought to determine whether asthma-related readmissions differed by degree of African ancestry and the extent to which such an association would also be explained by socioenvironmental risk factors. METHODS: This study used data from a prospective cohort study of 695 Black and White children aged 1 to 16 years with an asthma-related admission. The primary outcome was a similar readmission within 12 months. Each subject's African ancestry was determined by single nucleotide polymorphisms on a continuous scale ranging from 0 to 1 (0 = no African ancestry; 1 = 100% African ancestry). We also assessed 37 social, environmental, and clinical variables that we clustered into 6 domains (for example, hardship, disease management). Survival and mediation analyses were conducted. RESULTS: A total of 134 children (19.3%) were readmitted within 12 months. Higher African ancestry was associated with asthma readmission (odds ratio 1.11, 95% confidence interval 1.05-1.18 for every 10% increase in African ancestry) with adjustment for age and gender. The association between African ancestry and readmission was mediated by hardship (sß = 3.42, P < .001) and disease management (sß = 0.046, P = .001), accounting for >50% of African ancestry's effect on readmission. African ancestry was no longer significantly associated with readmission (sß = 0.035, P = .388) after accounting for these mediators. CONCLUSIONS: African ancestry was strongly associated with readmission, and the association was mediated by family hardship and disease management. These results are consistent with the notion that asthma-related racial disparities are driven by factors like structural racism and social adversity.

Description of a Lung Cancer Hotspot: Disparities in Lung Cancer Histology, Incidence, and Survival in Kentucky and Appalachian Kentucky.

INTRODUCTION: Kentucky is recognized as the state with the highest lung cancer burden for more than 2 decades, but how lung cancer differs in Kentucky relative to other US populations is not fully understood. PATIENTS AND METHODS: We examined lung cancer reported to the Surveillance, Epidemiology, and End Results (SEER) Program by Kentucky and the other SEER regions for patients diagnosed between 2012 and 2016. Our analyses included histologic types, incidence rates, stage at diagnosis, and survival in Kentucky and Appalachian Kentucky relative to other SEER regions. RESULTS: We found that both squamous cell carcinomas and small-cell lung cancers represent larger proportions of lung cancer diagnoses in Kentucky and Appalachian Kentucky than they do in the SEER registries. Furthermore, age-adjusted cancer incidence rates were higher in Kentucky for every subtype of lung cancer examined. Most notably, for Appalachian women the rate of small-cell carcinomas was 3.5-fold higher, and for Appalachian men the rate of squamous cell carcinoma was 3.1-fold higher, than the SEER rates. In Kentucky, lung cancers were diagnosed at later stages and lung cancer survival was lower for adenocarcinoma and neuroendocrine carcinomas than in SEER registries. Squamous cell carcinomas and small-cell carcinomas were most lethal in Appalachian Kentucky. CONCLUSION: Together, these data highlight the considerable disparities among lung cancer cases in the United States and demonstrate the continuing high burden and poor survival of lung cancer in Kentucky and Appalachian Kentucky. Strategies to identify and rectify causes of these disparities are discussed.

Phantom and clinical assessment of small pulmonary nodules using Q.Clear reconstruction on a silicon-photomultiplier-based time-of-flight PET/CT system.

To evaluate the quantification accuracy of different positron emission tomography-computed tomography (PET/CT) reconstruction algorithms, we measured the recovery coefficient (RC) and contrast recovery (CR) in phantom studies. The results played a guiding role in the partial-volume-effect correction (PVC) for following clinical evaluations. The PET images were reconstructed with four different methods: ordered subsets expectation maximization (OSEM), OSEM with time-of-flight (TOF), OSEM with TOF and point spread function (PSF), and Bayesian penalized likelihood (BPL, known as Q.Clear in the PET/CT of GE Healthcare). In clinical studies, SUVmax and SUVmean (the maximum and mean of the standardized uptake values, SUVs) of 75 small pulmonary nodules (sub-centimeter group: < 10 mm and medium-size group: 10-25 mm) were measured from 26 patients. Results show that Q.Clear produced higher RC and CR values, which can improve quantification accuracy compared with other methods (P < 0.05), except for the RC of 37 mm sphere (P > 0.05). The SUVs of sub-centimeter fludeoxyglucose (FDG)-avid pulmonary nodules with Q.Clear illustrated highly significant differences from those reconstructed with other algorithms (P < 0.001). After performing the PVC, highly significant differences (P < 0.001) still existed in the SUVmean measured by Q.Clear comparing with those measured by the other algorithms. Our results suggest that the Q.Clear reconstruction algorithm improved the quantification accuracy towards the true uptake, which potentially promotes the diagnostic confidence and treatment response evaluations with PET/CT imaging, especially for the sub-centimeter pulmonary nodules. For small lesions, PVC is essential.

Hormetic responses of soil microbiota to exogenous Cd: A step toward linking community-level hormesis to ecological risk assessment.

We investigated hormetic responses of soil microbial communities to exogenous Cd by assessing microbial count, bacterial and fungal abundance, and microbial community diversity. We found that the bacterial count (BC) decreased (3-40%) by 0.2-40 mg Cdkg-1. Addition of 0.6-2.0 mgkg-1 significantly increased fungal count (FC) by 7-42%, while addition of 4.0-40 mgkg-1 Cd decreased FC by 29-51%, indicating a hormetic dose response. We also found that the FC/BC ratio increased by 0.6-2.0 mg Cdkg-1, with a maximum stimulation of 51%, and decreased (18-27%) by 4.0-40 mg Cdkg-1. Cd had no adverse effect on the α-diversity of bacterial or fungal communities. For relative abundances (RAs) of bacteria and fungi at phylum level, Bacteroidetes RA exhibited a biphasic dose-response curve, with an 18-24% increase at 0.6-4.0 mgkg-1 and a 10% decrease at 40 mgkg-1 compared with control. The results of FC, FC/BC, and Bacteroidetes RAs suggest that hormesis occurred at microbial community level, with positive effects occurring at 0.6-2.0 mgkg-1. This study can contribute to incorporating microbial community hormesis into the ecological risk assessments in the future.

Factors Contributing to Delay in Specialist Care After Colorectal Cancer Diagnosis in Kentucky.

BACKGROUND: Abundant studies have associated colorectal cancer (CRC) treatment delay with advanced diagnosis and worse mortality. Delay in seeking specialist is a contributor to CRC treatment delay. The goal of this study is to investigate contributing factors to 14-d delay from diagnosis of CRC on colonoscopy to the first specialist visit in the state of Kentucky. METHODS: The Kentucky Cancer Registry (KCR) database linked with health administrative claims data was queried to include adult patients diagnosed with stage I-IV CRC from January 2007 to December 2012. The dates of the last colonoscopy and the first specialist visit were identified through the claims. Bivariate and logistic regression analysis was performed to identify factors associated with delay to CRC specialist visit. RESULTS: A total of 3927 patients from 100 hospitals in Kentucky were included. Approximately, 19% of patients with CRC visited a specialist more than 14 d after CRC detection on colonoscopy. Delay to specialist (DTS) was found more likely in patients with Medicaid insurance (OR 3.1, P < 0.0001), low and moderate education level (OR 1.4 and 1.3, respectively, P = 0.0127), and stage I CRC (OR 1.5, P < 0.0001). There was a higher percentage of delay to specialist among Medicaid patients (44.0%) than Medicare (18.0%) and privately insured patients (18.8%). CONCLUSIONS: We identified Medicaid insurance, low education attainment, and early stage CRC diagnosis as independent risk factors associated with 14-d delay in seeking specialist care after CRC detection on colonoscopy.