Search

Background: Red cell distribution width (RDW) is associated with a poor prognosis and adverse events in cardiovascular diseases. The aims of this study were to investigate the relationship between serum RDW levels and outcomes after percutaneous coronary intervention and to identify potential novel laboratory markers for evaluating the risk of in-stent restenosis (ISR) with stable angina pectoris.Methods: A total of 261 patients with coronary heart disease from Dongfeng General Hospital implanted with a coronary drug-eluting stent (DES) were enrolled in the study. We retrospectively analysed the role and prognosis values of serum parameters that were measured before angiography at the first admission. According to the results of the second angiogram, the patients were divided into two groups as follows: the non-ISR group (n=143) and the ISR group (n=118). The clinical characteristics and all laboratory data were considered for univariate and multivariate logistic regression analyses.Results: The white cell count, RDW, neutrophil count, C-reactive protein (CRP), total cholesterol, low-density lipoprotein cholesterol (LDL-C), blood urea nitrogen and uric acid levels were higher in the ISR group than in the non-ISR group. There were no differences in the rates of hypertension, fasting plasma glucose, red cell count, neutrophil to lymphocyte ratio, platelet count, triglyceride, high-density lipoprotein cholesterol and creatinine levels. In the univariate regression analysis, age, diabetes, white cell count, neutrophil count, RDW, CRP, total cholesterol, LDL-C, blood urea nitrogen, Gensini score and number of stents were predictors of ISR. According to the multiple logistic regression analysis, age, RDW and number of stents were independent predictors of ISR.Conclusions: Preprocedural blood parameters can independently predict ISR. Our study results demonstrated that a high preprocedural RDW is an independent predictor of DES restenosis. [ABSTRACT FROM AUTHOR]

Background: Metabolomics studies in Caucasians have identified a number of novel metabolites in association with the risk of type 2 diabetes (T2D). However, few prospective metabolomic studies are available in Chinese populations. In the present study, we sought to identify novel metabolites consistently associated with incident T2D in two independent cohorts of Chinese adults.Methods: We performed targeted metabolomics (52 metabolites) of fasting plasma samples by liquid chromatography-mass spectrometry in two prospective case-control studies nested within the Dongfeng-Tongji (DFTJ) cohort and Jiangsu Non-communicable Disease (JSNCD) cohort. After following for 4.61 ± 0.15 and 7.57 ± 1.13 years, respectively, 1039 and 520 eligible participants developed incident T2D in these two cohorts, and controls were 1:1 matched with cases by age (± 5 years) and sex. Multivariate conditional logistic regression models were constructed to identify metabolites associated with future T2D risk in both cohorts.Results: We identified four metabolites consistently associated with an increased risk of developing T2D in the two cohorts, including alanine, phenylalanine, tyrosine and palmitoylcarnitine. In the meta-analysis of two cohorts, the odds ratios (95% confidence intervals, CIs) comparing extreme quartiles were 1.79 (1.32-2.42) for alanine, 1.91 (1.41-2.60) for phenylalanine, 1.85 (1.37-2.48) for tyrosine and 1.63 (1.21-2.20) for palmitoylcarnitine (all Ptrend ≤ 0.01).Conclusions: We confirmed the association of alanine, phenylalanine and tyrosine with future T2D risk and further identified palmitoylcarnitine as a novel metabolic marker of incident T2D in two prospective cohorts of Chinese adults. Our findings might provide new aetiological insight into the development of T2D. [ABSTRACT FROM AUTHOR]