Background Arterial stiffness is a useful parameter to predict future cardiovascular disease. Objective We sought to compare arterial stiffness in adolescents and young adults with and without type 1 diabetes (T1D) and explore the risk factors associated with the differences observed. Subjects and methods Carotid-femoral pulse wave velocity (PWV), augmentation index (AI75), and brachial distensibility (BrachD) were measured in 402 adolescents and young adults with T1D (age 18.8 ± 3.3 yr, T1D duration 9.8 ± 3.8 yr) and 206 non-diabetic controls that were frequency-matched by age, sex, and race/ethnicity in a cross-sectional study. General linear models were used to explore variables associated with an increase in arterial stiffness after adjustment for demographic and metabolic covariates. Results T1D status was associated with a higher PWV (5.9 ± 0.05 vs. 5.7 ± 0.1 m/s), AI75 (1.3 ± 0.6 vs. −1.9 ± 0.7%), and lower BrachD (6.2 ± 0.1 vs. 6.5 ± 0.1%Δ/mmHg), all p < 0.05. In multivariate models, age, sex, race, adiposity, blood pressure, lipids, and the presence of microalbuminuria were found to be independent correlates of increased arterial stiffness. After adjustment for these risk factors, T1D status was still significantly associated with arterial stiffness (p < 0.05). Conclusions Peripheral and central subclinical vascular changes are present in adolescents and young adults with T1D compared to controls. Increased cardiovascular risk factors alone do not explain the observed differences in arterial stiffness among cases and controls. Identifying other risk factors associated with increased arterial stiffness in youth with T1D is critical to prevent future vascular complications.

This study provides independent confirmation of previous studies, reporting an association between concussion and LE injury risk. Furthermore, this study suggests that future large-scale studies should consider the competing risk of ipsilateral, contralateral, and new injuries in populations with an injury history.

Purpose Health-related quality of life (HRQOL) is a critical diabetes outcome, yet differences between youth and parent-proxy ratings can make interpretation difficult. This study aims to explore potential differences between self- and parent-reports of Pediatric Quality of Life Inventory (PedsQL) scores from youth with type 1 (T1D) or type 2 diabetes (T2D) and to evaluate associations between discrepancies, PedsQL scores, and glycemic control (HbA1c). Methods Youth and parents in the SEARCH for Diabetes in Youth Study (T1D: age 5–18, n = 3402; T2D: age 8–18, n = 353) completed the PedsQL Generic and Diabetes Modules, and youth provided a blood sample to assess HbA1c. Discrepancies (youth minus parent PedsQL ratings) were calculated and examined by age and diabetes type, and associations with youth PedsQL scores and HbA1c were evaluated. Results Discrepancies existed between youth and parent-proxy reports of generic and diabetes PedsQL scores in T1D and T2D (all p values < 0.01). Higher (more favorable) ratings were reported by youth except for those 5–7-years old, where parents’ scores were higher. When parent-proxy scores were higher, discrepancies were largest when the child reported low PedsQL scores. Higher HbA1c was associated with larger discrepancies (youth scores higher) for adolescents with T1D. Conclusions Discrepant PedsQL ratings suggest that parents may often underestimate youths’ HRQOL except in the youngest children. Although examining both reports is optimal, the youth report should be prioritized, particularly for young children with T1D and for adolescents with either T1D or T2D.

Background Current staging and treatment guidelines for gastric adenocarcinoma do not differentiate between linitis plastic (LP) and non-LP cancers. Significant controversy exists regarding the surgical management of LP patients. Methods Using the multi-institutional U.S. Gastric Cancer Collaborative database, 869 gastric cancer patients who underwent resection between 2000 and 2012 were identified. Clinicopathologic and outcomes data of 58 LP patients were compared to 811 non-LP patients. Results Stage III/IV disease was more common at presentation in LP patients compared with non-LP patients (90 vs. 44 %, p < 0.01). Despite the fact that most LP patients underwent total gastrectomy (88 vs. 39 %, p < 0.01), final positive margins were more common in LP patients (33 vs. 7 %, p < 0.01). The use of frozen section allowed 15 intraoperative positive margins in 38 patients to be converted to negative final margins. Median overall survival (OS) was significantly worse in patients with LP (11.6 vs. 37.8 months, p < 0.01). There was no difference in median OS of LP patients based on stage (I/II, 17.3 mo; III, 10.6 mo; IV, 12.0 mo; p = 0.46). LP and non-LP patients who underwent optimal resection (negative margin and D2/3 lymphadenectomy) had better survival compared with those with nonoptimal resections. The median OS for optimally resected stage III LP (n = 22) and stage III non-LP (n = 185) patients was nearly identical (26.7 vs. 25.3 mo; p = 0.69). Conclusions Future staging systems and treatment guidelines should differentiate between LP and non-LP gastric cancers. Long-term survival in select LP patients who undergo optimal resections is comparable to optimally resected non-LP patients.

Background While the gut microbiota is relatively stable through adulthood, its composition is influenced by various host and environmental factors, including changes in health, gastrointestinal processes (e.g., transit time, gastric acidity), medication use, and diet. The association of habitual diet, in the form of a posteriori–derived dietary patterns, and microbiota composition has not been adequately studied, particularly in older men. Objective The objective was to investigate the association of dietary patterns with the composition and diversity of the gut bacterial microbiota in community-dwelling, older men. Methods This cross-sectional study included 517 men who were participants in the Osteoporotic Fractures in Men (MrOS) Study (≥65 y of age at baseline in 2000–2002) and who provided a stool sample and completed an FFQ at MrOS Visit 4 in 2014–2016. Dietary patterns were derived by factor analysis. 16S ribosomal RNA target gene sequencing was performed and taxonomy assignments were derived using the Greengenes database. Linear regression and permutational multivariate analysis of variance (PERMANOVA) considered variations in alpha and beta diversity by dietary pattern, and a model that implements a 0-inflated Gaussian distribution of mean group abundance for each taxa (metagenomeSeq) assessed taxonomic variations by dietary pattern. Results In multivariable-adjusted models, greater adherence to the Western pattern was positively associated with families Mogibacteriaceae and Veillonellaceae and genera Alistipes, Anaerotruncus, CC-115, Collinsella, Coprobacillus, Desulfovibrio, Dorea, Eubacterium, and Ruminococcus, while greater adherence to the prudent pattern was positively associated with order Streptophyta, family Victivallaceae, and genera Cetobacterium, Clostridium, Faecalibacterium, Lachnospira, Paraprevotella, and Veillonella. The relative abundance of the dominant gut bacterial phyla, Bacteroidetes and Firmicutes, did not differ between participants with greater adherence to the Western pattern, compared with those with greater adherence to the prudent pattern. Dietary patterns were not associated with measures of alpha diversity, but beta diversity measures were significantly associated with both Western and prudent patterns. Conclusions We observed significant associations between dietary patterns and measures of gut microbial composition in this sample of community-dwelling, older men.

Background and Purpose— Every year in the United States, almost 185 000 ischemic strokes occur in patients with a prior stroke. Recurrent stroke has significantly higher morbidity and mortality. Among modifiable risk factors for recurrent stroke, hypertension is the most prevalent. Reducing systolic blood pressure is standard of care for secondary stroke prevention. Recent literature suggests that increased blood pressure variability (BPV) is associated with primary stroke, although studies have not convincingly shown that it is associated with recurrent stroke, which was the goal of this analysis. Methods— We conducted a secondary analysis of 17 916 patients in the PRoFESS (Prevention Regimen for Effectively Avoiding Second Strokes) trial, which is the largest trial of patients with potential recurrent stroke. We calculated BPV and evaluated its effect on recurrent stroke (composite and stratified by ischemic or hemorrhagic stroke), major cardiovascular events (death from cardiovascular causes, recurrent stroke, myocardial infarction, or new or worsening heart failure), and all-cause death. Results— Both systolic and diastolic BPV were associated with recurrent stroke, major cardiovascular events, and all-cause death. The association with stroke was significant for ischemic, but not hemorrhagic, stroke. For every 10-point increase in BPV (systolic SD, range =0–54.2), the hazard ratio for a recurrent ischemic stroke was 1.15 (95% CI, 1.02–1.32; P =0.02), for major cardiovascular events was 1.19 (95% CI, 1.09–1.31; P <0.001), and for all-cause death was 1.24 (95% CI, 1.10–1.39; P <0.001). Conclusions— Our study adds to the growing body of literature suggesting that BPV is an important and potentially modifiable risk factor for ischemic stroke, cardiovascular events, and all-cause death. Specifically, it is the first study to demonstrate that increased BPV is associated with recurrent ischemic stroke and that diastolic BPV can be as important as systolic BPV. Future work should focus on evaluating whether actively reducing BPV, using widely available and inexpensive antihypertensive medications, reduces the risk of cardiovascular disease.

In the current study, socioeconomic status and features of physical health rather than tumor characteristics were associated with symptoms of depression among long-term colorectal cancer survivors.

Background: Given diabetes is an important risk factor for cardiovascular disease (CVD), we examined temporal trends in CVD risk factors by comparing youth recently diagnosed with type 1 diabetes (T1D) and type 2 diabetes (T2D) from 2002 through 2012. Methods: The SEARCH for Diabetes in Youth Study identified youth with diagnosed T1D (n = 3954) and T2D (n = 706) from 2002 to 2012. CVD risk factors were defined using the modified Adult Treatment Panel III criteria for metabolic syndrome: (a) hypertension; (b) high-density lipoprotein cholesterol ≤40 mg/dL; (c) triglycerides ≥110 mg/dL; and (d) waist circumference (WC) >90th percentile. Prevalence of CVD risk factors, stratified by diagnosis year and diabetes type, was reported. Univariate and multivariate logistic models and Poisson regression were fit to estimate the prevalence trends for CVD risk factors individually and in clusters (≥2 risk factors). Results: The prevalence of ≥2 CVD risk factors was higher in youth with T2D than with T1D at each incident year, but the prevalence of ≥2 risk factors did not change across diagnosis years among T1D or T2D participants. The number of CVD risk factors did not change significantly in T1D participants, but increased at an annual rate of 1.38% in T2D participants. The prevalence of hypertension decreased in T1D participants, and high WC increased in T2D participants. Conclusion: The increase in number of CVD risk factors including large WC among youth with T2D suggests a need for early intervention to address these CVD risk factors. Further study is needed to examine longitudinal associations between diabetes and CVD.