Objective To investigate the relationship between correlative factors of ambulatory arterial stiffness in-dex (AASI) and target organ damage (TOD) in patients with primary hypertensive. Methods A total of 330 hypertensive pa-tients were included in the study and divided into two groups according to the value of AASI:low AASI group (n=167) and high AASI group (n=163). The value of AASI was obtained from 24-hour ambulatory blood pressure monitor (ABPM). The clinical data were collected including general information, the data of ABPM, results of coronary angiography, left ventricular mass index (LVMI), estimated glomerular filtration rate (eGFR) and ankle brachial index (ABI) in two groups. Results There were significantly higher values of age (years:64.91 ± 9.70 vs 59.12 ± 10.00), the proportion of diabetes (33.8% vs 14.8%), the proportion of non-dipper patterns of hypertension (65.6%vs 43.7%), 24-hour pulse pressure (PP, mmHg:65.27± 11.31 vs 56.06±10.51), 24-hour diastolic blood pressure standard deviation(DBPSD, mmHg:9.64±2.47 vs 8.31±2.31), the number of coronary artery lesions (1.78±1.10 vs 1.27±1.07), LVMI (g/m2:125.74±29.65 vs 107.69±23.23) and the proportion of peripheral vascular disease (27.3%vs 16.4%) in high AASI group than those in low AASI group (P<0.01). The level of eGFR was significantly lower in high AASI group than that in low AASI group [mL/(min · 1.73 m2):85.31 ± 20.31 vs 99.67 ± 17.76]. There were positive correlation between AASI and coronary lesions (r=0.235), LVMI(r=0.168) and peripheral vascu-lar disease (r=0.167). And there was a negative correlation between AASI and eGFR (r=-0.187). The multiple linear regres-sion analysis showed that age, diabetes, PP, DBPSD and non-dipper patterns of hypertension were the predictors of AASI. Conclusion AASI correlated with age, diabetes, PP, blood pressure variability and non-dipper patterns of hypertension. The higher level of AASI may relate to the development of TOD in patients with primary hypertensive.

This paper mainly reviews the factors related to the self-limitation of acute gout, including the differentiation of mononuclear macrophages, neutrophil derived microvesicles and NETs, crystallized encapsulation, oxidative respiration, regulation of cytokine levels, as well as food ingredients.