Factors Influencing Aspirin Hyporesponsiveness in Elderly Chinese Patients.

BACKGROUND Aspirin hyporesponsiveness increases the risk of ischemic events. Therefore, it is important to investigate the factors influencing aspirin hyporesponsiveness. MATERIAL AND METHODS Patients aged 60 years or older who did not take aspirin before enrollment were included, with aspirin 100 mg/day administered after enrollment. The arachidonic acid-induced platelet aggregation rate (Ara) was measured by light transmission assay to evaluate aspirin responsiveness. Patients with Ara in the upper quartile after taking aspirin were assigned to the aspirin hyporesponsive group (Ara-Q4). RESULTS A total of 292 elderly patients were included. The median value of Ara after taking aspirin was 5.87% (interquartile range 3.86-10.04%). Compared with the aspirin non-hyporesponsive group (Ara-Q1-3, Ara ≤10.04%, n=220), the level of uric acid (UA) (341.30 µmol/L vs. 299.10 µmol/L, p=0.027) and the ratios of ß-blockers (9.72% vs. 2.27%, p=0.015) and diuretics (6.94% vs. 1.36%, p=0.036) were higher in the aspirin hyporesponsive group (Ara-Q4, Ara >10.04%, n=72). After multivariate adjustment, the results demonstrated baseline Ara (odds ratio [OR]: 1.030, 95% confidence interval [CI]: 1.004-1.056, p=0.021), UA level (OR: 1.003, 95% CI: 1.000-1.006, p=0.038), and ß-blockers use (OR: 5.487, 95% CI: 1.515-19.870, p=0.010) were independently and positively associated with aspirin hyporesponsiveness. CONCLUSIONS This study found that baseline Ara, UA level, and ß-blockers use were independently and positively associated with aspirin hyporesponsiveness in elderly Chinese patients, which needs to be validated in large-scale studies.

Synthesis, characterization and luminescence of europium perchlorate with MABA-Si complex and coating structure SiO2 @Eu(MABA-Si) luminescence nanoparticles.

This article reports a novel category of coating structure SiO2 @Eu(MABA-Si) luminescence nanoparticles (NPs) consisting of a unique organic shell, composed of perchlorate europium(III) complex, and an inorganic core, composed of silica. The binary complex Eu(MABA-Si)3 ·(ClO4 )3 ·5H2 O was synthesized using HOOCC6 H4 N(CONH(CH2 )3 Si(OCH2 CH3 )3 )2 (MABA-Si) and was used as a ligand. Furthermore, the as-prepared silica NPs were successfully coated with the -Si(OCH2 CH3 )3 group of MABA-Si to form Si-O-Si chemical bonds by means of the hydrolyzation of MABA-Si. The binary complexes were characterized by elemental analysis, molar conductivity and coordination titration analysis. The results indicated that the composition of the binary complex was Eu(MABA-Si)3 ·(ClO4 )3 ·5H2 O. Coating structure SiO2 @Eu(MABA-Si) NPs were characterized using transmission electron microscopy (TEM), scanning electron microscopy (SEM) and infrared (IR) spectra. Based on the SEM and TEM measurements, the diameter of core-SiO2 particles was ~400 and 600 nm, and the thickness of the cladding layer Eu(MABA-Si) was ~20 nm. In the binary complex Eu(MABA-Si)3 ·(ClO4 )3 ·5H2 O, the fluorescence spectra illustrated that the energy of the ligand MABA-Si transferred to the energy level for the excitation state of europium(III) ion. Coating structure SiO2 @Eu(MABA-Si) NPs exhibited intense red luminescence compared with the binary complex. The fluorescence lifetime and fluorescence quantum efficiency of the binary complex and of the coating structure NPs were also calculated. The way in which the size of core-SiO2 spheres influences the luminescence was also studied. Moreover, the luminescent mechanisms of the complex were studied and explained.

[Postprandial changes of blood lipid after ordinary Chinese diet and the influencing factors thereof].

OBJECTIVE: To investigate the postprandial changes of blood lipid after ordinary Chinese diet and the influencing factors thereof. METHODS: Peripheral venous blood samples were collected from 88 patients, 72 males and 16 females, aged (65 +/- 12), 53 with hypertension, 35 with coronary heart diseases, and 27 with diabetes, while fasting and 4 h after breakfast and lunch to measure the levels of lipoproteins, including total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein A (ApoA), ApoB, lipoprotein (Lp) (a), oxidized LDL (ox-LDL). Homeostasis model assessment insulin resistance index (HOMA-IR) was calculated. Weight, height, waist circumference, and hip circumference were examined, and body mass index (BMI) and waist/hip ratio (WHR) were calculated. RESULTS: The TG level after breakfast was (2.79 +/- 0.19) mmol/L, significantly higher than the fasting level by 49.5% [(1.94 +/- 0.13) mmol/L, P < 0.05]. The TG level after lunch was (3.08 +/- 0.26) mmol/L, significantly higher than the fasting level by 58.8% [(1.94 +/- 0.13) mmol/L, P < 0.05]. The ox-LDL after breakfast was (430 +/- 21) microg/L, significantly higher than the fasting level by 32.6% [(324 +/- 14) microg/L, P < 0.05] and the ox-LDL level after lunch was (448 +/- 17) microg/L, significantly higher than the fasting level by 38.1% [(324 +/- 14) microg/L, P < 0.05]. The fasting insulin level was (62 +/- 4) pmol/L, and the HOMA-IR was (15.27 +/- 1.08). The fasting insulin level was positively correlated with the fasting and postprandial TG levels (all P < 0.01). The IR index was positively correlated with the fasting TG and TG after breakfast (both P < 0.05). Fasting insulin and HOMA-IR were negatively correlated with the fasting and postprandial HDL-C levels (all P < 0.05), and positively correlated with the fasting and postprandial TC/HDL-C levels (all P < 0.05). BMI and WHR were negatively correlated with the fasting and postprandial HDL-C (both P < 0.01). BMI was positively correlated with fasting and postprandial TG (both P < 0.05). The insulin level, HOMA-IR, and BMI were negatively correlated with LPL (r = -0.232 - 0.297, P < 0.05). LPL were positively correlated with fasting and postprandial HDL-C levels (r = 0.37, 0.31, 0.35, all P < 0.01). CONCLUSION: The TG and ox-LDL levels significantly increased postprandially. The postprandial blood lipid levels are significantly correlated with the fasting blood lipids.