Faculty Bibliography

AIMS:To outline the study design, outcome measures, protocol and baseline characteristics of enrolled participants of Texas (TX) Sprouts, a one-year school-based gardening, nutrition, and cooking cluster randomized trial. METHODS:Eight schools were randomly assigned to the TX Sprouts intervention and eight schools to the delayed intervention over three years (2016-2019). The intervention arm received: formation/training of Garden Leadership Committees; a 0.25-acre outdoor teaching garden; 18 student lessons including gardening, nutrition, and cooking activities, taught weekly during school hours by hired educators throughout one school year; and nine parent lessons taught monthly to families. The delayed intervention was implemented the following academic year and received the same protocol as the intervention arm. Primary outcomes included: dietary intake, dietary-related behaviors, obesity, and metabolic parameters. Child measures included: height, weight, waist circumference, body composition, blood pressure, and dietary psychosocial variables. A subsample of children were measured for glucose, hemoglobin-A1C, and 24-hour dietary recalls. Parent measures included: height and weight, dietary intake, and related dietary psychosocial variables. RESULTS:Of the 4239 eligible students, 3137 students consented and provided baseline clinical measures; 3132 students completed child surveys, with 92% of their parents completing parent surveys. The subsamples of blood draws and dietary recalls were 34% and 24%, respectively. Intervention arm baseline descriptives, clinical and dietary data for children and parents are reported. CONCLUSION:The TX Sprouts intervention targeted primarily low-income Hispanic children and their parents; utilized an interactive gardening, nutrition, and cooking program; and measured a battery of dietary behaviors, obesity and metabolic outcomes.

Background/Purpose : Several studies implicate gout and/or xanthine oxidase activity as risk factors for type 2 diabetes. However, no studies have directly evaluated the effect of the xanthine oxidase inhibition on type 2 diabetes development. We therefore assessed the impact of allopurinol use on diabetes incidence in a retrospective cohort study of Veterans' Affairs patients with gout. Methods : The New York Harbor VA Computerized Patient Record System was searched to identify patients with an ICD-9 code for gout also meeting at least 4 1977 American Rheumatology Association gout diagnostic criteria. Pharmacy records were reviewed, and subjects divided into subgroups based on >30 continuous days of allopurinol prescription, versus no allopurinol. Incident diagnoses of diabetes, defined as first hemoglobin A1c <= 6.5% or physician documentation, were identified during an observation period from January 1, 2000 through December 31, 2015. Categorical variables, including the primary endpoint, were analyzed utilizing Fisher's exact test. Continuous variables were analyzed using binomial regression and the Student's T test. Results : 1032 subjects were allopurinol users, and 485 subjects were allopurinol never-users. The average duration of allopurinol use was 48.4 months. There were significantly more Black subjects in the allopurinol group, whereas there were significantly more Asian subjects and subjects with chronic kidney disease in the non-allopurinol group. Over a mean 94.3 months of follow-up, there was no significant difference in diabetes incidence between the allopurinol and non-allopurinol groups (8.0/1000 person-years versus 11.3/1000 person-years, p=0.64). There was also no significant difference in diabetes incidence when subjects were analyzed by baseline serum urate level, colchicine use, allopurinol dose, extent of urate lowering with allopurinol or achieving target urate level. When stratified into quartiles by duration of allopurinol use, a significant difference was observed between diabetes incidence in the longest and shortest quartiles among subjects in the allopurinol cohort (7.3 per 1000 person-years versus 21.3 per 1000 person-years, p=0.007). Conclusion : In this study, allopurinol use was overall not associated with reduced diabetes incidence, but longer durations of allopurinol use may have been associated with decreased diabetes. Prospective studies may further elucidate the relationship between hyperuricemia, gout, xanthine oxidase activity and diabetes, and the potential impact of gout treatments on diabetes incidence. (Figure Presented )

The public image of nursing is important because it can facilitate or create barriers to achieving an adequate supply of nursing human resources. This study sought to gain a better understanding of nursing's professional image within the Republic of Georgia. The Nursing Human Resources Systems model was used to guide the study's exploratory, qualitative approach. Data collection occurred over a 2-week period in the Republic of Georgia, and thirty-three participants formed the final study sample. Participants included healthcare professionals, key informants from nonprofit and research institutions, and patients. Data analysis occurred using directed content analysis techniques, and three themes emerged: (a) gender dimension; (b) the nursing service recipient experience; and (c) historical legacies. Themes revealed the complexities of nursing's image in the country. Findings from this study serve as baseline data for understanding nursing's image in the Republic of Georgia which could assist with improving pre-entry nursing production issues.

BACKGROUND:There is a need to directly and accurately conceptualize and measure food insecurity in children as part of surveillance and public health efforts. OBJECTIVE:The aim of this study was to compare parent and child perceptions of child-level food security status via questionnaires within a large, ethnically diverse population. METHODS:Cross-sectional baseline data from a cluster-randomized controlled trial involving primarily low-income, Hispanic third- to fifth-grade students and their parents were used for analysis. The sample consisted of 2408 dyadic (parent and child) pairs. Parents completed the 8-item child-referenced Household Food Security Survey Module and their responses were compared with an adaption of the 5-item Child Food Security Assessment completed by their child. Levels of association between child and parent perceptions within dyads were calculated using Goodman and Kruskal's γ statistic. A mixed-effects binomial logistic regression model was used to model discordance as a function of child, parent, and household sociodemographic characteristics. RESULTS:< 0.001). Children perceived themselves as less food secure than their parents' perception 70.1% of the time. Household receipt of Supplemental Nutrition Assistance Program benefits was associated with greater odds of discordant food security perceptions, whereas female children, older children, and parents not working were characteristics associated with lower odds of discordant perceptions. CONCLUSIONS:Results, in combination with the existing literature, suggest that parent perceptions of child-level food insecurity may underestimate child-level food insecurity experiences. Inaccurate estimations or underestimations of the true prevalence of child-level food insecurity could be detrimental to maternal and child health efforts. This trial was registered at clinicaltrials.gov as NCT02668744.

Background. Pneumonia (PNU) is the second most common nosocomial infection in the United States and is associated with substantial morbidity and mortality. While definitions from CDC were developed to increase the reliability of surveillance data, reduce the burden of surveillance in healthcare facilities, and enhance the utility of surveillance data for improving patient safety - the algorithm is still laborious. We propose an implementation of a refined algorithm script which combines two CDC definitions with the use of natural language processing (NLP), a tool which relies on pattern matching to determine whether a condition of interest is reported as present or absent in a report, to automate PNU surveillance. Methods. Using SAS v9.4 to write a query, we used a combination of National Healthcare Safety Network's (NHSN) PNU and ventilator-associated event (VAE) definitions that use discrete fields found in electronic medical records (EMR) and trained an NLP tool to determine whether chest x-ray report was indicative of PNU (Fig1). To validate, we assessed sensitivity/specificity of NLP tool results compared with clinicians' interpretations. Results. The NLP tool was highly accurate in classifying the presence of PNU in chest x-rays. After training the NLP tool, there were only 4% discrepancies between NLP tool and clinicians interpretations of 223 x-ray reports - sensitivity 92.2% (81.1-97.8), specificity 97.1% (93.4-99.1), PPV 90.4% (79.0-96.8), NPV 97.7% (94.1- 99.4). Combining the automated use of discrete EMR fields with NLP tool significantly reduces the time spent manually reviewing EMRs. A manual review for PNU without automation requires approximately 10 minutes each day per admission. With a monthly average of 2,350 adult admissions at our hospital and 16,170 patient-days for admissions with at least 2 days, the algorithm saves approximately 2,695 review hours. Conclusion. The use of discrete EMR fields with an NLP tool proves to be a timelier, cost-effective yet accurate alternative to manual PNU surveillance review. By allowing an automated algorithm to review PNU, timely reports can be sent to units about individual cases. Compared with traditional CDC surveillance definitions, an automated tool allows real-time critical review for infection and prevention activities

INTRODUCTION:Implicit bias is a growing area of interest among educators. Educational strategies used to elicit awareness of implicit biases commonly include the Implicit Association Test (IAT). Although the topic of implicit bias is gaining increased attention, emerging critique of the IAT suggests the need to subject its use to greater theoretical and empirical scrutiny. METHODS:The authors employed a meta-narrative synthesis to review existing research on the use of the IAT in health professions education. Four databases were searched using key terms yielding 1151 titles. After title, abstract and full-text screening, 38 articles were chosen for inclusion. Coding and analysis of articles sought a meaningful synthesis of educational approaches relating to the IAT, and the assumptions and theoretical positions that informed these approaches. RESULTS:Distinct, yet complementary, meta-narratives were found in the literature. The dominant perspective utilizes the IAT as a metric of implicit bias to evaluate the success of an educational activity. A contrasting narrative describes the IAT as a tool to promote awareness while triggering discussion and reflection. DISCUSSION:Whether used as a tool to measure bias, raise awareness or trigger reflection, the use of the IAT provokes tension between distinct meta-narratives, posing a challenge to educators. Curriculum designers should consider the premise behind the IAT before using it, and be prepared to address potential reactions from learners such as defensiveness or criticism. Overall, findings suggest that educational approaches regarding implicit bias require critical reflexivity regarding assumptions, values and theoretical positioning related to the IAT.

Background/Purpose : Many studies of cancer risk in SLE are limited by small sample size or use of administrative data, which rely on billing code diagnoses instead of clinical data. No studies to date focused on incident SLE. We studied cancer risk in the largest-ever cohort of clinically confirmed incident SLE patients. Methods : Patients meeting ACR criteria for new-onset SLE (within 15 months of diagnosis) were enrolled into the SLICC Inception Cohort, across 32 centres. Patients are followed yearly using a standard protocol, with detailed data collection including SLE Disease Activity Index-2000 (SLEDAI-2K) and damage, and drugs in the past year. New cancer diagnoses are recorded by the examining physician at the annual study visit, and confirmed with chart review including pathology reports. Multivariate proportional hazard regression was performed, using baseline variables for demographics (age at SLE onset, sex, race/ethnicity), and time-dependent variables for drugs (corticosteroids, anti-malarial drugs, immunosup-pressive drugs), smoking, and SLEDAI-2K. As well as cancer over-all, we evaluated risk factors for the most common cancer types. Results : Of 1848 new-onset SLE patients enrolled between 1999-2011, 1668 had at least one follow-up; these were the sample for the current analysis. End date was the first of death, last visit, or end of study interval for this analysis (Aug. 2015). Baseline demographics are shown in Table 1. Over 14,215 years (mean 8.5 years) there were 60 cancers (incidence 4. 2 events per 1,000 patient-years). This included 12 breast cancers, 9 non-melanoma skin, 7 lung, 6 hematological, 5 melanoma, 5 prostate, 3 cervical, 3 renal, 2 gastric, 2 head and neck, 2 thyroid, and one each rectal, sarcoma, thymoma, and uterine. Almost half of the cancer cases (including all of the lung cancers) were associated with baseline smoking, versus only one-third of those patients who did not develop cancer. Univariate analyses of all cancer types suggested a higher risk of cancer among patients of white race/ethnicity and among those with the highest quartile of disease activity at cohort entry. However, the multivariate proportional hazard regression indicated that among SLE patients, the over-all cancer risk was related primarily to male sex and older age at SLE diagnosis. In those analyses, the effect of race/ethnicity was not clearly evident, and the point estimate for highest quartile of disease activity actually reversed to suggest a nonsignificant trend towards lower cancer risk. In the multivariate analyses specifically for breast cancer, age at SLE diagnoses remained a risk factor, and antimalarials were associated with a decreased risk. This effect of anti-malarials was not clearly seen for any other cancer type. For non-melanoma skin cancer, both age at SLE diagnosis and cyclophosphamide were strongly linked with risk. Conclusion : This is the first large, multicentre cohort study to clearly show how different cancer types in SLE are associated with specific risk factors. Additional follow-up may allow additional determination of the possible effects of disease activity and drugs on cancer subtypes

Background/Purpose : DLE is a rare, disfiguring disorder in children. Small retrospective studies suggest 20-25% of patients progress to SLE. Progression risk factors are poorly understood, but DLE has been associated with delay in SLE diagnosis and reduced access to care. This multicenter retrospective cohort study aimed to describe baseline characteristics and clinical phenotypes of pediatric DLE patients at diagnosis. Methods : Medical records at eighteen sites were reviewed for pediatric dermatology and rheumatology patients with DLE. For inclusion, patients required clinical and/or histopathologic findings consistent with DLE. Baseline data were collected at the first documented visit including sociodemographic data, ACR/SLICC SLE criteria (i.e. DLE+SLE), date of DLE onset/diagnosis, DLE distribution, family history, comorbidities, and treatment. Outcome variables included ACR (primary outcome) /SLICC SLE criteria. Rates of progression from skin-limited DLE (DLE) to SLE (DLE+SLE) were evaluated. Analysis included descriptive statistics, chi-square and Wilcoxon tests. Results : Out of >1,000 patients reviewed, 441 met inclusion criteria. The cohort was predominantly female (72%) and racially/ethnically diverse (Table 1). A minority presented at baseline with SLE based on ACR and SLICC criteria, respectively (n=165, 37%; n=183, 42%). DLE+SLE patients were older (median 13.7y vs 10.2y) with shorter time from DLE onset to diagnosis (median 2 mo vs 7 mo), compared to DLE patients (p< 0.001). DLE patients presented with low incidence of renal involvement, serositis, seizures or psychosis (p< 0.001, Table 2). DLE+SLE patients had more positive serologies and higher-titer ANAs (p< 0.001, Table 3), although 5% were ANA negative. Among 231 DLE patients with31 follow up visit, median follow-up was 2.7 y (range 0-13.9y) with 747 total subject-years. Progression to SLE occurred in 20% and 25% of patients based on ACR and SLICC criteria, respectively. Conclusion : To date, this is the largest investigation of pediatric DLE. Patients with DLE+SLE were most likely to present in adolescence with abnormal serologies and end-organ disease. Progression of DLE to SLE occurred at rates consistent with previous literature. All patients with DLE require SLE surveillance at diagnosis and regular follow-up, particularly during adolescence. Limitations include the retrospective study design with potential for misclassification, and analysis restricted to the baseline visit. Further analysis of follow up visits will evaluate for baseline risk factors and biomarkers of evolving SLE, as well as timing of progression, identifying DLE patients at highest risk for systemic disease