Faculty Bibliography

Background Metabolic syndrome (MetS) is associated with increased risk for cardiovascular disease, but there is heterogeneity in this risk. We evaluated whether high-sensitivity troponin T (hs-cTnT), a marker associated with cardiovascular disease, can stratify risk in MetS. Methods We evaluated associations between MetS (and groups with similar number of MetS components) and incident heart failure hospitalization, coronary heart disease, stroke and death using hs-cTnT categories after adjusting for risk factors/markers between 1996 and 2011 in 8204 individuals in the Atherosclerosis Risk In Communities study. Results The mean age of the population was 63 years (56% women, 19% Blacks). hs-cTnT levels were higher with MetS and with increasing MetS components. In individuals with MetS, higher hs-cTnT levels were associated with increased hazard ratios for heart failure, coronary heart disease and death. Within each number of MetS components, higher hs-cTnT was associated with progressively higher heart failure, coronary heart disease and death hazards. The association was particularly strong for heart failure. With increasing hs-cTnT categories, the hazard ratios (95% confidence interval) for heart failure in individuals with MetS increased gradually from 1.68 (1.31-2.16) to 3.76 (2.69-5.26) ( p-trend < 0.001) compared with those with MetS and hs-cTnT < 5 ng/l; and respective hazard ratios with increasing hs-cTnT categories in those with all five MetS components ranged from 2.22 (1.17-4.21) to 4.23 (1.89-9.50) ( p-trend 0.004) compared with those with all five MetS components and hs-cTnT < 5 ng/l. However, mostly there were no significant interactions of hs-cTnT with MetS or its components. Conclusion hs-cTnT is useful for identifying MetS patients with increased hazards for coronary heart disease, death and particularly heart failure.

BACKGROUND:Local ancestry may contribute to the disproportionate burden of subclinical and clinical cardiovascular disease among admixed African Americans compared with other populations, suggesting a rationale for admixture mapping. METHODS AND RESULTS/RESULTS:gene (lipoma high mobility group protein I-C fusion partner-like 2) with hard and all coronary heart disease. CONCLUSIONS:We identified several novel LEA regions, in addition to previously identified genetic variations, associated with cCIMT and cardiovascular disease events among African Americans.

OBJECTIVE: To measure variation in payment rates under Medicare's Inpatient Prospective Payment System (IPPS) and identify the main payment adjustments that drive variation. DATA SOURCES/STUDY SETTING: Medicare cost reports for all Medicare-certified hospitals, 1987-2013, and Dartmouth Atlas geographic files. STUDY DESIGN: We measure the Medicare payment rate as a hospital's total acute inpatient Medicare Part A payment, divided by the standard IPPS payment for its geographic area. We assess variation using several measures, both within local markets and nationally. We perform a factor decomposition to identify the share of variation attributable to specific adjustments. We also describe the characteristics of hospitals receiving different payment rates and evaluate changes in the magnitude of the main adjustments over time. DATA COLLECTION/EXTRACTION METHODS: Data downloaded from the Centers for Medicare and Medicaid Services, the National Bureau of Economic Research, and the Dartmouth Atlas. PRINCIPAL FINDINGS: In 2013, Medicare paid for acute inpatient discharges at a rate 31 percent above the IPPS base. For the top 10 percent of discharges, the mean rate was double the IPPS base. Variations were driven by adjustments for medical education and care to low-income populations. The magnitude of variation has increased over time. CONCLUSIONS: Adjustments are a large and growing share of Medicare hospital payments, and they create significant variation in payment rates.

BACKGROUND: A clinical study team performing three multicultural dementia screening studies identified the need to improve data management practices and facilitate data sharing. A collaboration was initiated with librarians as part of the National Library of Medicine (NLM) informationist supplement program. The librarians identified areas for improvement in the studies' data collection, entry, and processing workflows. CASE PRESENTATION: The librarians' role in this project was to meet needs expressed by the study team around improving data collection and processing workflows to increase study efficiency and ensure data quality. The librarians addressed the data collection, entry, and processing weaknesses through standardizing and renaming variables, creating an electronic data capture system using REDCap, and developing well-documented, reproducible data processing workflows. CONCLUSIONS: NLM informationist supplements provide librarians with valuable experience in collaborating with study teams to address their data needs. For this project, the librarians gained skills in project management, REDCap, and understanding of the challenges and specifics of a clinical research study. However, the time and effort required to provide targeted and intensive support for one study team was not scalable to the library's broader user community.

BACKGROUND: Food insecurity (FI) occurs when individuals or households have limited or uncertain access to adequate food. People with FI may find it particularly difficult to eat a balanced diet and manage weight. Individuals who report FI are 1.4 times more likely to have obesity. U.S. Veterans have a greater prevalence of FI compared with the general population (24% vs. 19%). As part of a pilot randomized controlled trial to test the impact of an obesity intervention for Veterans, we explored the prevalence of FI in our sample and assessed the impact of FI on weight outcomes. METHODS: Veterans with a Body Mass Index of greater than or equal to 30 or between 25 and 29.99 with at least one comorbidity were recruited by phone for a pilot study. Participants randomized to the intervention received a technology-assisted health coaching session and follow-up coaching calls; control participants received a VA "healthy living messages" pamphlet. At baseline and 3 months, participants had weight measurements and completed surveys. To measure FI, we used a 6-item Household Food Security Scale (FI = 2 or more affirmative responses). We assessed the impact of FI on variables independent of arm assignment in participants who returned for a 3-month measurement visit (Wilcoxon rank sum tests and Fisher's Exact Test). We also analyzed the role of FI as a moderator between arm and study variables using ANOVA. RESULTS: Out of 31 Veterans who enrolled in the study (Mean age = 53.48, 63% male, mean BMI = 31.72), 10 demonstrated FI at baseline and 25 participants completed 3 month measurements. Independent of the intervention, those with FI (n = 10) lost .01 kg of weight and those without FI (n = 15) lost 1.69 kg at 3-months but the difference was not significant (p = 0.2). Similarly, 0/10 Veterans with FI achieved 2.5% weight loss, compared to 4/15 of those without FI (p = 0.12). Those with FI in the control group gained weight when compared to those without FI (1.04 kg, SD = 1.41 vs. -1.75, SD = 3.96) and those with FI in the intervention lost the same amount of weight as those without FI (-1.59 kg, SD = 0.83, vs. -1.59, SD = 2.27; p = 0.24 for the interaction (not significant)). CONCLUSIONS: FI in Veterans enrolled in a weight management study is high. Participants with FI in the control arm may have gained weight when compared to non-FI participants, while intervention arm participants with FI lost similar amounts of weight to those without FI. This suggests that the intervention may reduce the negative impact of FI. While this pilot study was not powered to show a significant difference, we have amended health coaching protocols to better address FI in our intervention (e.g. screening for FI and linking participants with Supplemental Nutrition Assistance Program (SNAP) benefits and similar resources) hoping to maximize its effectiveness

The World Trade Center (WTC) disaster released large amounts of various chemical substances into the environment, including perfluoroalkyl substances (PFASs). Yet, no studies have examined exposures in children living or attending schools near the disaster site. We measured serum PFASs in WTC Health Registry (WTCHR) respondents who were