Comparison of clinical outcomes after drug-eluting stent implantation in diabetic versus nondiabetic patients in China: A retrospective study.

Diabetes mellitus (DM) has been proved to be a predictor of adverse outcomes after percutaneous coronary intervention (PCI). Drug-eluting stents (DESs) could reduce the adverse events in DM patients. In this study, we aimed to analyze the clinical outcome after DES implantation in diabetic versus nondiabetic patients in China. Totally, 200 Chinese DM patients and 400 Chinese non-DM patients were enrolled in this retrospective study. Compared with non-DM patients, DM patients were more likely to have a higher incidence of cardiac death (3.5% vs. 1.0%, P = .048), stent thrombosis (2.5% vs. 0.5%, P = .044), target lesion revascularization (6.0% vs. 1.8%, P = .005), target vessel failure (15.5% vs. 8.0%, P < .001), target lesion failure (14.0% vs. 4.3%, P < .001), myocardial infarction (4.5% vs. 1.5%, P = .030), and major adverse cardiac events (12.5% vs. 5.0%, P = .001) at 2-year follow-up. However, the incidence of target vessel revascularization (7.5% vs. 5.5%, P = .340) was similar between DB and non-DB patients. Patients with DB (hazard ratio [HR] = 2.54, P = .001), older than 80 years (HR = 1.33, P = .027) with hypercholesterolemia (HR = 1.03, P < .001), serum creatinine >177 µmol/L (HR = 3.04, P = .011), a history of cerebral vascular accident (HR = 4.29, P = .010), or a history of myocardial infarction (HR = 31.4, P < .001) were more likely to experience adverse events. In China, DM could also be served as an independent predictor of adverse outcomes after DES implantation. These patients should be reexamined more frequently.

Early adulthood body mass index, cumulative smoking, and esophageal adenocarcinoma survival.

BACKGROUND: Smoking and obesity are esophageal adenocarcinoma (EAC) risk factors. However, the same risk factors may also affect biological aggressiveness and cancer outcomes. Our study evaluated the combined effects of early-adulthood obesity and cumulative smoking on the EAC survival. PATIENTS AND METHODS: In two EAC cohorts, Toronto (TO; N=235) and Boston (BO; N=329), associations between early adulthood body mass index (EA-BMI), BMI at 1year prior to diagnosis (BMI-1), and smoking with overall survival (OS) were assessed using Cox proportional hazard models, adjusted for relevant covariates. RESULTS: Both cohorts were predominantly Caucasian (89%), male (88%), ever-smokers (73%) with locally advanced/metastatic EAC (78%), and good ECOG performance status (90%); median packyears was 34; median EA-BMI, 24; median BMI-1, 25. No relationships with survival were found with BMI-1. For smoking and EA-BMI, TO, BO, and combined TO-BO analyses showed similar associations: smoking conferred worse OS in the combined TO-BO cohort, with adjusted hazard ratios (aHR) of 1.22 (95%CI: 1.15-1.43;p<0.0001) for each 20 pack-year increase. Likewise, EA-BMI ≥25 was associated with worse OS (EA-BMI of 25-<30, aHR=1.84,95%CI: 1.37-2.48; and EA-BMI>30, aHR=2.78, 95%CI: 1.94-3.99). Risk of death was also increased in remotely underweight patients with EA-BMI<18.5 (aHR=2.03,95%CI: 1.27-3.24), when compared to normal-EA-BMI (18≤EA-BMI<25). CONCLUSIONS: Two key modifiable behaviors, elevated BMI in early adulthood and heavy cumulative smoking history are independently associated with increased mortality risk in two North American cohorts of EAC patients.

DNA modification study of major depressive disorder: beyond locus-by-locus comparisons.

BACKGROUND: Major depressive disorder (MDD) exhibits numerous clinical and molecular features that are consistent with putative epigenetic misregulation. Despite growing interest in epigenetic studies of psychiatric diseases, the methodologies guiding such studies have not been well defined. METHODS: We performed DNA modification analysis in white blood cells from monozygotic twins discordant for MDD, in brain prefrontal cortex, and germline (sperm) samples from affected individuals and control subjects (total N = 304) using 8.1K CpG island microarrays and fine mapping. In addition to the traditional locus-by-locus comparisons, we explored the potential of new analytical approaches in epigenomic studies. RESULTS: In the microarray experiment, we detected a number of nominally significant DNA modification differences in MDD and validated selected targets using bisulfite pyrosequencing. Some MDD epigenetic changes, however, overlapped across brain, blood, and sperm more often than expected by chance. We also demonstrated that stratification for disease severity and age may increase the statistical power of epimutation detection. Finally, a series of new analytical approaches, such as DNA modification networks and machine-learning algorithms using binary and quantitative depression phenotypes, provided additional insights on the epigenetic contributions to MDD. CONCLUSIONS: Mapping epigenetic differences in MDD (and other psychiatric diseases) is a complex task. However, combining traditional and innovative analytical strategies may lead to identification of disease-specific etiopathogenic epimutations.