Faculty Bibliography

PURPOSE/OBJECTIVE:To characterize the demographic differences between infertile/sub-fertile women who utilized infertility services vs. those that do not. METHODS:A retrospective analysis of cross-sectional data obtained during the 2011-2013, 2013-2015, and 2015-2017 cycles of National Survey for Family Growth from interviews administered in home for randomly selected participants by a National Center of Health Statistics (NCHS) surveyor was used to analyze married, divorced, or women with long-term partners who reported difficulty having biological children (sub-fertile/infertile women). Demographic differences such as formal marital status, education, race, and religion were compared between women who presented for infertility care vs. those that did not. The primary outcome measure was presenting for infertility evaluation and subsequently utilizing infertility services. Healthcare utilization trends such as having a usual place of care and insurance status were also included as exposures of interest in the analysis. RESULTS:Of the 12,456 women included in the analysis 1770 (15.3%) had used infertility services and 1011 (8.3%) said it would be difficult for them to have a child but had not accessed infertility services. On univariate analysis, compared to women who used infertility services, untreated women had lower average household incomes (295.3 vs. 229.8% of the federal poverty line respectively). Untreated women also had lower levels of education and were more likely to be divorced or never have married. In terms of health status, unevaluated women were less likely to have a usual place for healthcare (87.3%) as compared to women presenting for fertility care (91.9%) (p = 0.004). When examining insurance status, 23.3% of unevaluated women were uninsured as compared to 8.3% of evaluated women. On multivariate analysis, infertile women without insurance were at 0.37 odds of utilizing infertility care compared to women with insurance. CONCLUSIONS:Demographic factors are associated with the utilization of infertility care. Insurance status is a significant predictor of whether or not infertile women will access treatment. Data from the three most recent NSFG surveys along with prior analyses demonstrate the need for expanded insurance coverage in order to address the socioeconomic disparities between infertile women who are accessing services vs. those that are not.

OBJECTIVE:To assess the contemporary incidence of cancers using American Samoa as a learning set for insights into similar populations. METHODS:A retrospective observational analysis of de-identified data held in public-access databases (2004-2014) and data on uterine cancer from a hospital, both in American Samoa (2015-2016). RESULTS:There were 341 new cases of cancer in 2004-2014 (111 per 100 000 women/year), including breast (20.2%), uterine (19.4%), and cervical (5.0%); and 287 in 2011-2015 (103 per 100 000 women/year), including uterine (24.0%), breast (18.5%), and cervical (5.2%). Uterine cancer increased from 21.4 to 60.3 per 100 000 women/year, becoming the most common cancer in American Samoa. In 2011-2015, the incidence-rate ratio of uterine cancer to other cancers in American Samoa was 1.3-, 3.8-, 4.6-, 7.7-, and 23-fold higher than breast, colon, cervical, ovarian, and lung cancer, respectively. Among the most recent cases (n=33), median age was 55 years (10 [30.3%] <50 years), median BMI was 38.2; and 11 (33.3%) cases had grade 3 histology. CONCLUSION/CONCLUSIONS:The pattern of cancers in American Samoa differs from that in the US mainland. The findings reflect significant changes in cancer incidence. Cancer control programs should evaluate the potential of uterine screening in accordance with their community's needs and characteristics.

BACKGROUND:Extended-release naltrexone (XR-NTX) is an effective maintenance treatment for opioid use disorder, but induction from active opioid use is a challenge as individuals must complete detoxification before induction. We aimed to determine whether use of methadone or buprenorphine, long acting agonist opioids commonly used for detoxification, were associated with decreased likelihood of induction onto XR-NTX. METHODS:We performed a secondary analysis of a large open-label randomized trial of buprenorphine versus XR-NTX for treatment of individuals with opioid use disorder recruited from eight short term residential (detoxification) units. This analysis only included individuals randomized to the XR-NTX arm of the trial (N = 283). The method of detoxification varied according to usual practices at each inpatient program. Logistic regression models estimating the log-odds of induction onto XR-NTX were fit, with detoxification regimen received as the predictor. RESULTS:In the unadjusted logistic regression model, detoxification drug received (either methadone or buprenorphine) was significantly associated with decreased likelihood of induction onto XR-NTX compared to receiving non-opioid detoxification (Overall: P < 0.001); buprenorphine vs non-opioid detoxification: OR (95% CI) = 0.32 (0.15-0.67); methadone vs non-opioid detoxification: OR (95% CI) = 0.23 (0.11-0.46). After controlling for site as a random effect, the association of detoxification drug with induction success lost statistical significance. CONCLUSIONS:Use of agonist medication during detoxification was associated with XR-NTX induction failure. Medication choice was determined by each site's clinical practice and therefore this association could not be separated from other site level variables. CLINICAL TRIAL REGISTRATION/BACKGROUND:NCT02032433.

Rationale: Only nine studies in the current literature focus on the effects of air pollution exposures among patients with Interstitial Lung Diseases (ILD), most of which focus on idiopathic pulmonary fibrosis (IPF). Even less is known about the effects of air pollution exposure on non-IPF ILDs and particularly in populations that are not in major metropolitan regions in the US, where there is a sparse distribution of air pollution monitoring sites.
Method(s): A study cohort of 1,365 patients with ILD (including non-IPF ILDs) living across the Intermountain West region of the US were followed at the University of Utah, with hospitalization data collected from 2009 to 2018. Daily concentrations of major pollutants (PM2.5, NO2, and O3) were calculated using two methods of exposure assessment: 1) weighted mean concentrations from all EPA monitors within a 20km radius of the patient with missing data filled in using imputed values, and 2) using a validated spatiotemporal model, the Optimal Interpolation (OI) model, that integrates satellite remote sensing data and EPA monitoring data with modeled concentrations. A time-stratified, case-crossover study was performed using a 14-day interval to estimate the association between short-term exposure to air pollution and hospitalizations. Conditional logistic regression models were used to estimate adjusted odds ratios (aORs) per interquartile range (IQR) of the pollutant and reported for a 4-day average lag structure from lag days 0 through 3, controlling for daily apparent temperature and holidays. Results were stratified by season, where season was determined by high (March to October) and low (November to February) ozone months.
Result(s): We evaluated 1,277 hospitalizations, and neither exposure assessment model found those to be significantly associated with increased concentrations of PM2.5 or O3. However, the OI model found that in the colder season, an IQR increase in daily average NO2 exposure is associated with 1.5 times the odds of being hospitalized (aOR: 1.53, 95% CI: 1.03, 2.35). These odds are significantly more pronounced in males (aOR: 2.50, 95% CI: 1.14, 5.50).
Conclusion(s): This analysis provides important insight on the impacts of short-term air pollution exposure on hospitalizations in patients with ILD. Improved exposure assessment using an integrated pollution model was critical to identifying these associations due to the sparse distribution of monitors, particularly for pollutants like NO2. Further research using ILD patient populations will help transition clinical guidance regarding air pollution exposures from common sense recommendations to evidence-based guidance

Vulvar cancer is an uncommon gynecologic tumor and one of several human papillomavirus-associated malignancies. Squamous cell carcinoma is the most prevalent histologic subtype of vulvar cancer, accounting for the majority of cases. Imaging plays an important role in managing vulvar cancer. At initial diagnosis, imaging is useful to assess the size and extent of primary tumor and to evaluate the status of inguinofemoral lymph nodes. If recurrent disease is suspected, imaging is essential to demonstrate local extent of tumor and to identify lymph node and distant metastases. In this publication, we summarize the recent literature and describe the panel's recommendations about the appropriate use of imaging for various phases of patient management including initial staging, surveillance, and restaging of vulvar cancer. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.

BACKGROUND AND AIMS:Previous community-based studies have demonstrated sex and race-based disparities in the risk of cardiovascular disease. We sought to examine the association of sex and race with incident peripheral artery disease (PAD-) and critical limb ischemia (CLI-) related hospitalizations. METHODS:In 13,451 Black and White ARIC participants without prevalent PAD at baseline (1987-89), we estimated the cumulative incidence of PAD- and CLI-related hospitalization over a median follow-up of 26 years. We quantified hazard ratios (HRs) using Cox models across four sex- and race-groups. PAD and CLI were defined by hospitalization discharge codes. RESULTS:The cumulative incidence of PAD-related hospitalization was higher in males than females in Whites (5.1% vs. 2.7%; p<0.001) but not in Blacks (5.7% vs. 5.0%; p=0.39). The cumulative incidence of CLI-related hospitalization differed significantly by race more than sex, occurring in 3.1% Black males, 3.1% Black females, 1.4% White males, and 0.8% White females (p<0.001). After risk factor adjustment, the risk of incident PAD-related hospitalization was similar for White males vs. White females [HR 1.14, 95%CI 0.90-1.45], and slightly higher for Black males [HR 1.26, 95%CI 0.92-1.72] and Black females [HR 1.39, 95%CI 1.03-1.87] compared to White females. The adjusted risk of incident CLI-related hospitalization was similar for White males vs. White females [HR 1.15, 95%CI 0.75-1.76], and significantly higher for Black males [HR 1.96, 95%CI 1.22-3.16] and Black females [HR 2.06, 95%CI 1.31-3.24] compared to White females. CONCLUSIONS:These data suggest that there are both sex- and race-specific patterns of PAD-related hospitalization that lead to differences in clinical disease risk and presentation.

Social determinants of health influence child health behavior, development, and outcomes. This paper frames social capital, or the benefits that a child receives from social relationships, as a positive social determinant of health that helps children exposed to adversity achieve healthy outcomes across the life course. Children are uniquely dependent on their relationships with surrounding adults for material and non-material resources. We identify and define three relevant aspects of social capital: 1) social support, which is embedded in a 2) social network, which is a structure through which 3) social cohesion can be observed. Social support is direct assistance available through social relationships and can be received indirectly through a caregiver or directly by a child. A child's social network describes the people in a child's life and the relationships between them. Social cohesion represents the strength of a group to which a child belongs (e.g. family, community). Pediatric primary care practices play an important role in fostering social relationships between families, the health care system, and the community. Further research is needed to develop definitional and measurement rigor for social capital, to evaluate interventions (e.g. peer health educators) that may improve health outcomes through social capital, and to broaden our understanding of how social relationships influence health outcomes.

BACKGROUND:Adults age ≥ 50 are among the fastest growing populations in correctional supervision and are medically underserved while experiencing unique health disparities. Community-living older adults, referred to as "justice-involved," are people who have been recently arrested, or are on probation or parole. Although medical complexity is common among incarcerated older adults, the occurrence of medical morbidity, substance use disorder (SUD), and mental illness among justice-involved older adults living in US communities is poorly understood. OBJECTIVE:To estimate the prevalence of medical multimorbidity (≥ 2 chronic medical diseases), SUDs, and mental illness among justice-involved adults age ≥ 50, and the co-occurrence of these conditions. DESIGN/METHODS:Cross-sectional analysis. PARTICIPANTS/METHODS:A total of 34,898 adults age ≥ 50 from the 2015 to 2018 administrations of the US National Survey on Drug Use and Health. MAIN MEASURES/METHODS:Demographic characteristics of justice-involved adults age ≥ 50 were compared with those not justice-involved. We estimated prevalence of mental illness, chronic medical diseases, and SUD among adults age ≥ 50 reporting past-year criminal justice system involvement. Logistic regression was used to estimate the odds of these conditions and co-occurrence of conditions, comparing justice-involved to non-justice-involved adults. KEY RESULTS/RESULTS:An estimated 1.2% (95% confidence interval [CI] = 1.1-1.3) of adults age > 50 experienced criminal justice involvement in the past year. Compared with non-justice-involved adults, justice-involved adults were at increased odds for mental illness (adjusted odds ratio [aOR] = 3.04, 95% CI = 2.09-4.41) and SUD (aOR = 8.10, 95% CI = 6.12-10.73), but not medical multimorbidity (aOR = 1.15, 95% CI = 0.85-1.56). Justice-involved adults were also at increased odds for all combinations of the three outcomes, including having all three simultaneously (aOR = 8.56, 95% CI = 4.10-17.86). CONCLUSIONS:Community-based middle-aged and older adults involved in the criminal justice system are at high risk for experiencing co-occurring medical multimorbidity, mental illness, and SUD. Interventions that address all three social and medical risk factors are needed for this population.

The plasma proteomic changes that precede the onset of dementia could yield insights into disease biology and highlight new biomarkers and avenues for intervention. We quantified 4,877 plasma proteins in nondemented older adults in the Atherosclerosis Risk in Communities cohort and performed a proteome-wide association study of dementia risk over five years (n = 4,110; 428 incident cases). Thirty-eight proteins were associated with incident dementia after Bonferroni correction. Of these, 16 were also associated with late-life dementia risk when measured in plasma collected nearly 20 years earlier, during mid-life. Two-sample Mendelian randomization causally implicated two dementia-associated proteins (SVEP1 and angiostatin) in Alzheimer's disease. SVEP1, an immunologically relevant cellular adhesion protein, was found to be part of larger dementia-associated protein networks, and circulating levels were associated with atrophy in brain regions vulnerable to Alzheimer's pathology. Pathway analyses for the broader set of dementia-associated proteins implicated immune, lipid, metabolic signaling and hemostasis pathways in dementia pathogenesis.