Chronic kidney disease (CKD) in patients with ST-elevation myocardial infarction (STEMI) is associated with worse outcomes. We assessed the impact of CKD on guideline directed coronary revascularization and outcomes among STEMI patients. The Nationwide Inpatient Sample dataset from 2012-2014 was used to identify patients with STEMI using International Classification of Diseases, Ninth Revision, Clinical Modification codes. Patients were categorized as non-CKD, CKD without dialysis, and CKD with dialysis (CKD-HD). Outcomes were revascularization, death and acute renal failure requiring dialysis (ARFD). A total of 534,845 were included (88.9% non-CKD; 9.6% CKD without dialysis, and 1.5% CKD-HD). PCI was performed in 77.4% non-CKD, 56.2% CKD without dialysis, and 48% CKD-HD patients (p < 0.0001). In-hospital mortality and ARFD were significantly higher in CKD patients (16.5% and 40.6%) compared with non-CKD patients (7.12% and 7.17%) (p < 0.0001). In-hospital mortality was significantly lower in patients treated revascularization compared with patients treated medically (non-CKD: adjusted odds ratio (aOR) 0.280, p < 0.0001; CKD without dialysis: aOR 0.39, p < 0.0001; CKD-HD: aOR 0.48, p < 0.0001). CKD was associated with higher length of hospital stay and cost (5.86 ± 13.97, 7.57 ± 26.06 and 3.99 ± 11.09 days; p < 0.0001; $25,696 ± $63,024, $35,666 ± $104,940 and $23,264 ± $49,712; p < 0.0001 in non-CKD, CKD without dialysis and CKD-HD patients respectively). In conclusion, CKD patients with STEMI receive significantly less PCI compared with patients without CKD. Coronary revascularization for STEMI in CKD patients was associated with lower mortality compared to medical management. The presence of CKD in patients with STEMI is associated with higher mortality and ARFD, prolonged hospital stay and higher hospital cost.

Aim Disparities exist in cardiovascular diseases (CVD) and diabetes in the United States (U.S.) with Central Appalachia having disproportionate burden. This study examined prevalence and correlates of CVD risk-factors among patients with diabetes/subclinical atherosclerosis in Central Appalachia. Methods: During 2012–2016, 3000 patients from Central Appalachia were screened for subclinical atherosclerosis, using coronary artery calcium (CAC) scores; 419 participants had diabetes. Patients were categorized into four groups, with emphasis on those having subclinical atherosclerosis, CAC score ≥ 1. Descriptive statistics and multilevel multinomial logistic regression were conducted to identify CVD risk and spatial factors associated with co-existence of diabetes and subclinical atherosclerosis. Results: Among participants, prevalence of CVD risk-factors ranged from 11.7% for current smokers to 69.2% for those with CVD family history. Average BMI was 29.8. Compared to patients with diabetes only, age [RR = 1.07; p ≤ 0.0001], being male [RR = 5.33; p ≤ 0.0001], having hypertension [RR = 2.37; p ≤ 0.05] and being a former smoker were associated with increased likelihood of having diabetes/subclinical atherosclerosis. At the zip-code level, unemployment rate [RR = 1.37; p ≤ 0.05] was significantly associated with having diabetes/subclinical atherosclerosis. Conclusion: Consistent with clinical guidelines, study results suggest the need to integrate CAC screening into primary care diabetes programs while addressing spatial issues that predispose patients to have diabetes/subclinical atherosclerosis.

Purpose: The study examined the associations of multiple psychiatric and chronic conditions with the self-reported history of major depressive disorder (MDD) among patients with opioid use disorder (OUD) and tested whether the associations differed by gender. Methods: We conducted a secondary data analysis of baseline data from a clinical trial including 1,646 participants with OUD, of which 465 had MDD. A variable cluster analysis was used to classify chronic medical and psychiatric conditions. Multivariable logistic regression analyses were used to estimate their associations with MDD in subjects with OUD. Results: Nine variables were divided into three clusters: cluster 1 included heart condition, hypertension, and liver problems; cluster 2 included gastrointestinal (GI) problems and head injury, and cluster 3 included anxiety disorder, bipolar disorder, and schizophrenia. The overall prevalence of MDD in participants with OUD was 28.3% (22.8% for males and 39.5% for females). Gender, anxiety disorder, schizophrenia, liver problems, heart condition, GI problems, and head injury were significantly associated with MDD. Gender-stratified analyses showed that bipolar disorder, liver problems and individuals with one chronic condition were associated with MDD only in males, whereas heart condition, hypertension, and GI problems were associated with MDD only in females. In addition, anxiety disorder, head injury, individuals with one or more than two psychiatric conditions, and individuals with more than two chronic conditions were associated with MDD regardless of gender. Conclusions: Treatment plans in patients with OUD should not only address MDD but also co-morbid psychiatric and chronic medical conditions that occur with MDD.

Offenders and persons with serious mental illness experience disproportionate exposure to Adverse Childhood Experiences (ACEs). This study examines prevalence, distribution, and correlates of ACEs in 182 male and female forensic psychiatric inpatients in secure care. Descriptive statistics, chi-squares analysis, ANOVA, and logistic regression were used to describe ACEs by race and gender and to identify associations between ACEs and onset of aggression, arrest, and psychiatric hospitalization. Participants evidenced significant exposure to ACEs, with significant differences by race and gender. ACE score, race, and foster care or investigations of child abuse were significant predictors of outcomes related to aggression and criminality.

Physiological Reports published by Wiley Periodicals, Inc. on behalf of The Physiological Society and the American Physiological Society. C1q/TNF-related protein 3 (CTRP3) is a relatively novel adipose tissue-derived cytokine (adipokine) which has been linked to improved glucose regulation and insulin sensitivity. However, the relationship between circulating CTRP3 levels and diabetes is controversial. CTRP3 can circulate in different oligomeric complexes: trimeric, hexameric, and high molecular weight (HMW) oligomeric complexes. However, the concentration of the different oligomeric complexes in human disease states has not been previously investigated. Therefore, the purpose of this study was to compare the levels of different oligomeric complexes of CTRP3 between type 2 diabetic and nondiabetic individuals. Additionally, the association between the oligomeric complexes and other serum factors was examined. CTRP3 primarily circulates in the HMW complex (>50%) and the hexametric multimer, with no CTRP3 detected in the trimeric complex or as a monomer. Further, no differences were observed in total, hexameric, or HMW CTRP3 levels regardless of diabetic status. Surprisingly, HMW CTRP3 was found to be positively correlated with circulating triglyceride levels. Combined, these data suggest that CTRP3 is associated with triglyceride regulation, not diabetic status. These data may explain some of the discrepancies in the literature as elevated triglyceride levels are often detected in patients with obesity and type 2 diabetes.

Background: To explore the effectiveness of a multi-layered health promotion approach in rural China. Methods: A two-year intervention was applied to the 18 intervention rural villages while the 18 controls received standard health communication materials. Data were collected at baseline and post-intervention respectively to evaluate the effectiveness. Results: All intervention villages had developed healthy policies addressing prioritized health issues such as livestock captivity, garbage disposal, etc.; however, no healthy policies had been developed in the controls. The two-week morbidity rate and incidence of diarrhea of the intervention villages decreased to 13.4% from 18.5% (p = 0.009), and to 9.5% from 13.0% (p = 0.038), respectively, whereas no statistically significant change was found in the controls. The knowledge about hepatitis B and rabies transmission had increased significantly among the intervention villagers (hepatitis B from 27.5% to 34.4%, p = 0.005; rabies from 12.0% to 24.6%, p < 0.001) but not in the control for rabies (p > 0.05). Among both intervention and control groups, the proportion of proper hand-washing and chopping board use increased significantly (all p < 0.01). Greater changes had been found in physical inactivity and alcohol drinking among the intervention group than the control. No change was found in smoking rate among both groups. Score values (mean ± SD) for environmental quality, livestock captivity, and vector density (e.g., mosquitoes, flies, rats, and cockroaches) increased significantly from 2.8 ± 0.9 to 3.4 ± 0.7, from 1.9 ± 0.9 to 2.5 ± 0.9, and from 0.6 ± 0.9 to 1.8 ± 0.4, respectively (p < 0.05) in the intervention villages. Conclusions: The two-year multi-layered health promotion approach shows real promise in empowering the rural communities to take control over, and protect their own health.

Blood trihalomethanes (THMs) and urinary haloacetic acids (HAAs) are the leading candidate biomarkers for disinfection byproduct (DBP) exposure. However, no studies have assessed the exposure profiles, temporal variability, and potential predictors of these biomarkers during pregnancy. Here we collected blood (n = 4304) and urine samples (n = 4165) from 1760 Chinese pregnant women during early, mid-, and late pregnancy, which were separately analyzed for 4 THMs and 2 HAAs. We calculated the intraclass correlation coefficients (ICCs) to assess the variability of these biomarkers and estimated their correlations with sociodemographic, water-use behavioral, dietary and sample collection factors using mixed models. The median concentrations of TCM, BDCM, Br-THMs [sum of BDCM, dibromochloromethane (DBCM), bromoform (TBM)], total THMs (TTHMs, sum of TCM and Br-THMs), DCAA and TCAA in the water distribution system were 4.2 μg/L, 1.7 μg/L, 2.9 μg/L, 7.1 μg/L, 3.4 μg/L and 8.2 μg/L, respectively. Chloroform (TCM), bromodichloromethane (BDCM), dichloroacetic acid (DCAA) and trichloroacetic acid (TCAA) were detected in > 75% of the biospecimens. Repeated measurements of blood TCM, BDCM, Br-THMs and TTHMs and urinary DCAA and TCAA uniformly exhibited high variability (ICCs = 0.01–0.13); the use of a single measurement to classify gestational average exposure resulted in a high degree of exposure misclassification. The sampling season was a strong predictor of all analyzed DBPs. Additionally, we detected a positive association of blood TCM and BDCM with household income, urinary DCAA with age, and urinary TCAA with tap water usage, education level and amount of tap water consumed. Inverse associations were found between blood BDCM and vegetable consumption, and between blood Br-THM and TTHM and time interval since the last bathing/showering. Afternoon samples had lower DCAA concentrations than did early morning samples. Our results indicate that blood THM and urinary HAA concentrations vary greatly over the course of pregnancy and are affected by sampling season, time of day of blood/urine collection, sociodemographic factors, recent water-use activities and dietary intake.

CYP2A5 is a major enzyme responsible for nicotine and cotinine metabolism in mice. Nicotine and cotinine enhance alcoholic fatty liver in wild type (WT) mice but not in CYP2A5 knockout (KO) mice, and reactive oxygen species (ROS) generated during the CYP2A5-mediated metabolism contributes to the enhancing effect. In combination with ethanol, nicotine and cotinine increased lipid peroxidation end product 4-hydroxynonenal (HNE) in WT mice but not in KO mice. In ethanol-fed KO mice, only 5 and 10 genes were regulated by nicotine and cotinine, respectively. However, in ethanol-fed WT mice, 59 and 104 genes were regulated by nicotine and cotinine, respectively, and 7 genes were up-regulated by both nicotine and cotinine. Plin 2 and Cdkn1a are among the 7 genes. Plin2 encodes adipose differentiation-related protein (ADRP), a lipid droplet-associated protein, which was confirmed to be increased by nicotine and cotinine in WT mice but not in KO mice. Cdkn1a encodes P21 and elevated P21 in nuclei was also confirmed. HNE can increase P21 and P21 inhibit cell proliferation. Consistently, hepatocyte proliferation markers proliferating cell nuclear antigen (PCNA) and Ki67 were decreased in WT mice but not in KO mice by nicotine/ethanol and cotinine/ethanol, respectively. These results suggest that inhibition of liver proliferation via a ROS-HNE-P21 pathway is involved in nicotine- and cotinine-enhanced alcoholic fatty liver.

INTRODUCTION: E-cigarettes have emerged as the most commonly used tobacco or nicotine products among youth in the United States (US), and usage with other products (dual use) is not well understood. This study assessed dual use and identified associated factors of usage in school-going youth in the high tobacco burdened region of rural Appalachian Tennessee. METHODS: Two waves of data for the same cohort of students were collected in 2014 (Wave 1) and 2016 (Wave 2). Dual use of e-cigarettes with any other tobacco product was the dependent variable. The independent variables consisted of exposure to tobacco use at home, home smoking rules, smoking inside the vehicle, attitudes toward smoking, exposure to tobacco industry marketing/promotion, and peer/family pressure. Descriptive statistics and multivariate logistic regression analyses were conducted to determine the prevalence of dual use and delineate factors associated with usage. RESULTS: Dual use increased from 13.3% in Wave 1 to 18.6% in Wave 2. Results of logistic regression show that exposure to tobacco industry marketing/promotion was significantly associated with dual use in the two waves, odds ratio (OR) = 4.18 (confidence interval [CI] = 1.69-10.38) and OR = 4.43 (CI = 2.03-9.67), respectively. While allowing smoking inside the vehicles, sometimes, significantly increased dual use in Wave 1 (OR = 3.18 [CI = 1.19-8.48]), exposure to tobacco use at home (OR = 2.94 [1.24-6.97]), and peer/family pressure (OR = 2.92 [1.87-7.19]) increased usage in Wave 2. CONCLUSION: The increasing trend in dual use of e-cigarettes and other tobacco products among youth in Appalachia Tennessee suggests a critical need for comprehensive tobacco control programs to avert exacerbating disparities in tobacco use and tobacco-related diseases in the US.

Background: Disparities in tobacco use exist across regions in the United States. The Central Appalachian region carries some of the very high rates of tobacco use prevalence but research on tobacco use initiation is sparse. Objective: To investigate the intention to try tobacco and its associated factors among nonsmoking youth. Method: Data were obtained from school-based tobacco surveys (n = 539) conducted in 11 middle schools (6th–8th grades; aged 10–15 years) in Northeast Tennessee in 2015–2016. Nonsmoking participants without firm commitment to abstain from trying tobacco in the next year were considered to have an intention to try tobacco. The Full Information Maximum Likelihood estimation (FIML) method in Mplus was employed to conduct a multivariable logistic regression analysis to delineate correlates of intention to try tobacco. Results: Overall, 20.0% of participants had intention to try tobacco. Among participants with intention to try tobacco, 53.7% owned tobacco-branded item(s), 86.1% believed that tobacco users have more friends, and 88.9% lived with tobacco users. In the adjusted logistic model, ever use of tobacco products, home smoking rules, owning tobacco-branded item(s), living with tobacco users, believing that tobacco users have more friends, and perception of easy access to tobacco products were significantly associated with intention to try tobacco (p <.02). Conclusion: This study suggests that individual, interpersonal, and community level factors influence intention to try tobacco in this environment where tobacco pre-emption laws impede development of local tobacco control policies and regulations. Thus, efforts should focus on tobacco use initiation preventive programs, including school-based tobacco control programs.