Analysis of socioeconomic and demographic factors and imaging exam characteristics associated with missed appointments in pediatric radiology.

BACKGROUND: Missed appointments can have an adverse impact on health outcomes by delaying appropriate imaging, which can be critical in influencing treatment decisions. OBJECTIVE: To assess for socioeconomic and imaging exam factors associated with missed appointments among children scheduled for diagnostic imaging. MATERIALS AND METHODS: We retrospectively analyzed children (<18 years) scheduled for outpatient diagnostic imaging during a 12-month period. In doing so, we obtained socioeconomic and radiology exam characteristics (modality, intravenous contrast administration, radiation and use of sedation) data from the electronic medical record. We employed multivariate logistic regression to assess the association of socioeconomic, demographic and imaging exam characteristics with imaging missed appointments. RESULTS: In total, 7,275 children met inclusion criteria. The mean age was 8.8 years (standard deviation [SD] = 6.2 years) and the study population consisted of 52% female gender, 69% White race, 38% adolescent age group and 32% with a median household income by ZIP-code category of <$50,000. Logistic regression showed increased likelihood of missed appointments among children of Black/African-American race (odds ratio [OR] = 1.9; 95% confidence interval [CI] = 1.4-2.5); with insurance categories including Medicaid (OR=2.0; 95% CI=1.6-2.4), self-pay (OR=2.1; 95% CI=1.3-3.6) and other (OR=2.7; 95% CI=1.3-5.4); with <$50,000 median household income by ZIP-code category (OR=1.7; 95% CI=1.4-2.0); and with examination wait time of 7-21 days (OR=2.7; 95% CI=2.1-3.5) and >21 days (OR=3.7; 95% CI=2.9-4.8). The use of radiation, intravenous contrast agent or sedation was not associated with increased likelihood of missed appointments. CONCLUSION: Expanding our knowledge of how different socioeconomic and imaging-related factors influence missed appointments among children can serve as a foundational step to better understand existing and emerging disparities and inform strategies to advance health equity efforts in radiology.

The Effect of Preoperative Renal Failure on Outcomes Following Infrainguinal Endovascular Interventions for Peripheral Arterial Disease.

PURPOSE: To analyze the effect of a patient's renal failure status on acute outcomes after lower extremity endovascular interventions for peripheral artery disease. MATERIALS AND METHODS: A retrospective analysis of the American College of Surgery National Surgical Quality Improvement Program database from 2014 to 2017 was conducted. Patients were included based on current procedural terminology codes. They were divided into renal failure cohorts. Six thousand seven hundred and sixty-five patients were included in the analysis, 11.0% of whom had renal failure. A univariate analysis was performed using chi-squared test or Fischer's exact test as appropriate. Multivariate logistic regression models were constructed, while controlling for relevant patient factors, to identify the effect of renal failure on several outcomes of interest after the intervention. A sensitivity analysis was performed with a propensity score-matched cohort. RESULTS: Patients with renal failure were more likely to have infrapopliteal interventions (38.0% vs 20.9%), critical limb ischemia with tissue loss (73.5% vs 38.9%), diabetes (70.9% vs 52.3%), preoperative wound infection (59.2% vs 30.7%), mortality (5.1% vs 1.3%), prolonged hospital stay (68.5% vs 46.5%), transfusion after the intervention (13.3% vs 9.1%), reoperation (18.3% vs 9.5%), and readmission (24.9% vs 12.6%), compared to patients without renal failure. The multivariate analysis found renal failure to be significant for mortality (odds ratio [OR] = 4.11, 95% confidence interval [CI] = 2.71-6.24), any complication (OR = 2.03, 95% CI = 1.72-2.39), extended length of stay (OR = 1.53, 95% CI = 1.28-1.83), sepsis (OR = 2.37, 95% CI = 1.60-3.51), readmission (OR = 1.89, 95% CI = 1.57-2.29), reoperation (OR = 1.84, 95% CI = 1.48-2.27), major adverse cardiovascular event (OR = 3.50, 95% CI = 2.54-4.84), and major adverse limb event (OR = 1.97, 95% CI = 1.55-2.51). P value was <.001 unless otherwise noted. CONCLUSIONS: Renal failure before the intervention places patients at a significantly elevated risk of morbidity and mortality following endovascular revascularization procedures for peripheral artery disease.

Leveraging Emergency Department Encounters to Improve Cancer Screening Adherence.

OBJECTIVE: We aimed to estimate the proportion of patients visiting the emergency department (ED) who were not up to date with cancer screening guidelines to assess the scope of need and potential impact of ED-based cancer screening interventions. METHODS: Adult participants from the 2015 National Health Interview Survey were included. Among patients nonadherent to national breast, colorectal, or lung cancer screening guidelines, the proportion of patients reporting an ED visit within the last year was estimated, accounting for complex survey sampling design features. Multiple variable logistic regression analyses were then conducted to evaluate the association between sociodemographic characteristics and screening adherence. RESULTS: Of screening eligible respondents, 17.2% of women nonadherent to mammography screening, 16.9% of patients nonadherent to colorectal cancer screening, and 25.0% of patients nonadherent to lung cancer screening reported at least one ED visit in the preceding year. Patients visiting the ED with postsecondary school education were more likely to be up to date with mammography screening than those without advanced education (odds ratio [OR] 1.45; 95% confidence interval [CI]: 1.21-1.74; P = .01). Patients without insurance were less likely than those with insurance to report being up to date with both mammography screening (OR 0.31; 95% CI: 0.21-0.48; P = .01) and colorectal cancer screening (OR 0.56; 95% CI: 0.34-0.93; P = .03). DISCUSSION: Opportunities to improve cancer screening adherence exist through ED-based preventative care interventions, which leverage multidisciplinary partnerships, including radiologists, to reach large volumes of patients who are not engaged in cancer screening.

Using CT Encounters to Improve Colorectal Cancer Screening Utilization: Cross-Sectional Survey Results From the National Health Interview Survey.

PURPOSE: Millions of patients undergo CT imaging examinations every year. These encounters may represent opportunities to improve colorectal cancer (CRC) screening rates among patients who have not received recommended CRC screening. Using a nationally representative cross-sectional survey, our purpose was to estimate the proportion of patients who have undergone CT examinations who have not received recommended CRC screening. METHODS: Survey respondents aged 45-75 years in the 2015 National Health Interview Survey without history of CRC were included. Proportion of patients who have undergone CT examinations among those who have not received recommended CRC screening was estimated. Multiple variable logistic regression analyses were performed to evaluate the association between sociodemographic characteristics and CRC screening adherence. Analyses were conducted accounting for complex survey design features. RESULTS: Sixteen thousand two hundred and six survey respondents met inclusion criteria. About 44.3% (43.1, 45.5) reported having ever received a CT scan and 50.8% (49.6, 51.9) underwent CRC screening. Among those who previously had CT scans, Asian race participants and participants without health insurance coverage had lower odds of adherence, while increasing household income and education were associated with higher odds of adherence (P < 0.01). Among participants who did not receive CRC screening, 33.7% (32.1%, 35.3%) reported having a CT scan, representing an estimated 15,278,667 people across the United States. CONCLUSION: Among patients who have not received recommended CRC screening, nearly 1 out of 3 report having undergone a CT examination. CT encounters may represent opportunities to improve overall CRC screening rates.

Impaired angiogenesis and extracellular matrix metabolism in autosomal-dominant hyper-IgE syndrome.

There are more than 7000 described rare diseases, most lacking specific treatment. Autosomal-dominant hyper-IgE syndrome (AD-HIES, also known as Job's syndrome) is caused by mutations in STAT3. These patients present with immunodeficiency accompanied by severe nonimmunological features, including skeletal, connective tissue, and vascular abnormalities, poor postinfection lung healing, and subsequent pulmonary failure. No specific therapies are available for these abnormalities. Here, we investigated underlying mechanisms in order to identify therapeutic targets. Histological analysis of skin wounds demonstrated delayed granulation tissue formation and vascularization during skin-wound healing in AD-HIES patients. Global gene expression analysis in AD-HIES patient skin fibroblasts identified deficiencies in a STAT3-controlled transcriptional network regulating extracellular matrix (ECM) remodeling and angiogenesis, with hypoxia-inducible factor 1α (HIF-1α) being a major contributor. Consistent with this, histological analysis of skin wounds and coronary arteries from AD-HIES patients showed decreased HIF-1α expression and revealed abnormal organization of the ECM and altered formation of the coronary vasa vasorum. Disease modeling using cell culture and mouse models of angiogenesis and wound healing confirmed these predicted deficiencies and demonstrated therapeutic benefit of HIF-1α-stabilizing drugs. The study provides mechanistic insights into AD-HIES pathophysiology and suggests potential treatment options for this rare disease.

Assessing Eligibility for Lung Cancer Screening Among Women Undergoing Screening Mammography: Cross-Sectional Survey Results From the National Health Interview Survey.

PURPOSE: Millions of women undergo mammography screening each year, presenting an opportunity for radiologists to identify women eligible for lung cancer screening (LCS) with low-dose chest CT and smoking cessation counseling. The purpose of our study was to estimate the proportion of women eligible for LCS and tobacco cessation counseling among women reporting mammography screening within the previous 2 years using nationally representative cross-sectional survey data. METHODS: Women between the ages of 55 and 74 years in the 2015 National Health Interview Survey without history of lung or breast cancer who reported mammography use in the previous 2 years were included. The primary outcome was the weighted proportion of women eligible for LCS. Secondary outcomes included self-reported receipt of LCS and current smoking. Bivariate and multiple variable logistic regression analyses were performed to evaluate the association between primary and secondary outcomes and sociodemographics, accounting for complex survey design elements. RESULTS: Among 3,806 women meeting inclusion criteria, 7.1% were eligible for LCS and 9.8% were current smokers. Multivariable analyses demonstrated that LCS-eligible women were more likely to be white, younger, and non-college-educated and have lower household incomes (all P < .001). Among all LCS-eligible women, 58% reported undergoing mammography screening within the previous 2 years. Among LCS-eligible women who underwent screening mammography, 7.9% reported undergoing LCS. CONCLUSIONS: The majority of LCS-eligible women received mammography screening but did not receive LCS. Mammography encounters may represent prime opportunities to increase LCS participation among patients already receiving imaging-based screening services.

Temporal Trends in Imaging Utilization for Suspected Substance Use Disorder in an Academic Emergency Radiology Department.

PURPOSE: To assess temporal trends and utilization patterns of diagnostic imaging performed for substance use disorder (SUD)-related indications in an academic radiology emergency department (ED). METHODS: Retrospective analyses of ED imaging examinations acquired from 2005 to 2015 were performed. Imaging examinations performed for suspected SUD-related indications, based on the order history, were compared with those without a SUD-related indication. Unadjusted analyses comparing demographic and imaging characteristics between SUD-related versus non-SUD-related indications used Wilcoxon and Pearson's χ2 tests. Multivariable logistic regression models, within each imaging modality subgroup and combined, were employed to examine the odds of imaging examinations having an SUD-related indication as a function of demographic and imaging characteristics. RESULTS: Among 938,245 examinations, 0.17% had an SUD-related indication. Patients with SUD-related indications were younger (mean 37.2 ± 11.1 versus 53.5 ± 22.4, P < .001) and more commonly male (65% versus 52%, P < .001). The proportions of MR (17%), spine (17%), and extremities (33%) studies performed for SUD-related indications were larger among SUD than non-SUD indications (6%, 8%, 26%, respectively, all P < .001). Regression analysis demonstrated the odds of acquiring an ED imaging examination with an SUD-related indication significantly increased over time (P < .001, adjusted odds ratio [aOR] = 1.06), which was most pronounced among MR (P < .001, aOR = 1.23). For all regression models, younger age, male gender, and body part being imaged were identified as independent predictors of an SUD-related indication for ED imaging. CONCLUSION: Imaging performed for an SUD-related indication represented a small but increasing subset of overall ED imaging. Utilization of MR for SUD-related indications significantly outpaced growth of MR without SUD-related indications.

Implementation of an Intimate Partner Violence Screening Assessment and Referral System in an Academic Women's Imaging Department.

PURPOSE: One in five US women report that they have been victims of intimate partner violence (IPV) during their lifetime. With millions of women presenting for mammography every year, breast imaging centers may represent ideal venues to identify women at risk for IPV and refer them to appropriate support services. Our purpose was to evaluate implementation of a novel IPV screening and referral system for women presenting for mammography. METHODS: A question was added to intake questionnaire ("Do you feel safe in your home?") for adult women presenting for screening or diagnostic mammography from 2016 to 2017 at our hospital outpatient breast imaging sites. The proportion of women presenting for screening or diagnostic mammogram who felt unsafe was calculated. Bivariate logistic regression analyses were performed to compare baseline characteristics of women who stated that they felt unsafe at home versus women who did not state that they felt unsafe at home. RESULTS: In all, 99,029 examinations were performed (68,158 unique patients). Of these patients, 71 stated that they felt unsafe at home (71 of 68,158, 0.1%). Women presenting for their first mammogram were more likely to report feeling unsafe at home (odds ratio 3.03, 95% confidence interval 1.31-7.06, P = .01). No differences were found in age (P = .148), ethnicity (P = .271), gravida (P = .676), parity (P = .752), age at menarche (P = .775), and history of breast cancer (P = .726). CONCLUSIONS: Our results demonstrate the feasibility of a screening and referral system for IPV in radiology departments.

Nationwide, Longitudinal Trends in CT Colonography Utilization: Cross-Sectional Survey Results From the 2010 and 2015 National Health Interview Survey.

PURPOSE: Colon cancer screening reduces deaths from colorectal cancer. Screening rates have plateaued; however, studies have found that giving patients a choice between different screening tests improves adherence. CT colonography is a minimally invasive screening test with high sensitivity for colonic polyps (>1 cm). With increasing insurance coverage of CT colonography nationwide, there are limited estimates of CT colonography utilization over time. Our purpose was to estimate CT colonography utilization over time using nationally representative cross-sectional survey data. METHODS: We utilized 2010 and 2015 National Health Interview Survey cross-sectional data. Participants between ages 50 and 75 without colorectal cancer history were included. Accounting for complex survey design elements, logistic regression analyses evaluated changes in CT colonography utilization over time, adjusted for potential confounders, and stratified by insurance and age. RESULTS: Overall, 21,686 respondents were included (8,965 in 2010, 12,721 in 2015). Reported CT colonography utilization decreased from 1.2% to 0.9% (odds ratio [OR] 0.92, 95% confidence interval [CI] 0.86-0.98). Stratified analyses revealed no changes in utilization in patients with private insurance (P = .35) and in patients younger than 65 (P = .07). Overall awareness of CT colonography decreased from 20.5% to 15.9% (OR 0.93, 95% CI 0.91-0.95). Reported optical colonoscopy utilization increased from 57.9% to 63.6% (OR 1.03, 95% CI 1.02-1.05). CONCLUSION: Despite increasing self-reported utilization of optical colonoscopy from 2010 to 2015, survey results suggest that CT colonography awareness (∼16%) and utilization (∼1%) remain low. Improved public awareness and coverage expansion to Medicare-aged populations will promote improved CT colonography utilization and overall colorectal cancer screening rates.

Chronic Medical Illness as a Risk Factor for Poor Mammography Screening Adherence.

Objective: The aim of this study was to determine the association between the presence of chronic medical disease and mammography screening adherence. Materials and Methods: We performed a retrospective study on women between the ages of 50 and 64 who received screening mammography in 2005 and had at least 8 years of follow-up. Demographic and clinical information was obtained from our centralized patient data registry. Women diagnosed with one or more of the following diseases for at least 3 months before their index mammogram were considered to have a chronic disease, including atrial fibrillation, congestive heart failure, Chronic Obstructive Pulmonary Disease (COPD), diabetes mellitus type II, heart disease, and/or peripheral vascular disease. Generalized estimating equations were used to evaluate for correlated observations. Multivariable regression analyses were used to evaluate the effects of selected chronic medical diseases on longitudinal engagement with routine mammography. Results: Of 9575 women identified, 1669 (17.7%) had one or more of the selected chronic medical diseases. The presence of one or more of these diseases was associated with reduced mammography screening (-0.29; confidence interval [CI] = -0.36 to -0.14; p < 0.01) compared with women without these diseases over the study period. Within this group, the presence of congestive heart failure (-0.88; CI = -0.84 to -0.45; p ≤ 0.01), COPD (-0.39; CI = -0.57 to -0.21; p ≤ 0.01), or diabetes mellitus type II (-0.37; CI = -0.57 to -0.17; p ≤ 0.01) was individually associated with reduced screening compared with women without the respective disease. Compared with women without chronic medical disease, women with multiple chronic medical diseases (-0.62; CI = -0.93 to -0.30; p ≤ 0.01) were significantly (p ≤ 0.05) less likely to receive routine screening, while no significant difference was seen in women with only one chronic medical disease (-0.18; CI = -0.39 to -0.02; p ≤ 0.08). Conclusion: Despite experiencing longer life expectancies, women with specific chronic diseases may experience additional barriers to uptake of mammography screening, which is likely compounded by the comorbidity burden of being simultaneously treated for multiple chronic conditions. Increased health care interactions seen in this group may represent missed opportunities to improve screening adherence.

PD-L1 up-regulation restrains Th17 cell differentiation in STAT3 loss- and STAT1 gain-of-function patients.

Patients with hypomorphic mutations in STAT3 and patients with hypermorphic mutations in STAT1 share several clinical and cellular phenotypes suggesting overlapping pathophysiologic mechanisms. We, therefore, examined cytokine signaling and CD4+ T cell differentiation in these cohorts to characterize common pathways. As expected, differentiation of Th17 cells was impaired in both cohorts. We found that STAT1 was hyperphosphorylated in response to cytokine stimulation in both cohorts and that STAT1-dependent PD-L1 up-regulation-known to inhibit Th17 differentiation in mouse models-was markedly enhanced as well. Overexpression of SOCS3 strongly inhibited phosphorylation of STAT1 and PD-L1 up-regulation, suggesting that diminished SOCS3 expression may lead to the observed effects. Defects in Th17 differentiation could be partially overcome in vitro via PD-L1 inhibition and in a mouse model of STAT3 loss-of-function by crossing them with PD-1 knockout mice. PD-L1 may be a potential therapeutic target in several genetic diseases of immune deficiency affecting cytokine signaling.

Impact of Income Inequality on the Nation's Health.

BACKGROUND: Income inequality in the United States has been increasing in recent decades. It is unclear whether income inequality has an independent effect on health outcomes, or whether it simply correlates with increasing levels of poverty. The goal of this study was to evaluate whether income inequality is significantly associated with US county health care expenditures and health care use. STUDY DESIGN: Cross-sectional analysis of county health expenditure data from the Health Resources and Services Administration's Area Resources File, county income inequality measures (Gini coefficient) from the Census' American Community Survey, and estimates of potentially preventable admissions and potentially discretionary procedures from the Nationwide Inpatient Sample (1998 to 2011). Datasets were linked via county Federal Information Processing Standard codes. Multivariable linear and Poisson regression analyses were performed at the county level adjusting for county characteristics. RESULTS: A total of 1,237 counties (of 3,144) were included. Income inequality was associated with higher health care expenditures, with each 1 percentage-point increase in county Gini coefficient associated with a US$40,008 increase in annual county Medicare cost (p = 0.003), and an increase of 174.7 total county Medicare inpatient days per year (p < 0.001). Even after accounting for poverty level and county characteristics, counties with higher inequality had higher potentially preventable admission (eg 4.86 rate ratio for low-birth-weight hospital admissions in the top income inequality quartile compared with bottom quartile; p < 0.001) and a higher incidence of potentially discretionary procedures (eg 1.79 rate ratio for prostatectomy for benign prostatic hyperplasia in the top income inequality quartile compared with bottom quartile; p < 0.001). CONCLUSIONS: Income inequality is independently associated with higher health care expenditures and more health care use, with increases in both potentially discretionary procedures and in potentially preventable admissions.