We applied 24-h Holter monitoring to analyze the characteristics of arrhythmias and heart rate variability in Chinese patients with primary aldosteronism (PA) and compared them with age-, sex-, and blood pressure-matched primary hypertension (PH) patients. A total of 216 PA patients and 261 PH patients were enrolled. The nonstudy data were balanced using propensity score matching (PSM), and the risk variables for developing arrhythmias were then analyzed using logistic regression analysis. Before PSM, the proportion of PA patients with combined atrial premature beats and prolonged QT interval was higher than the corresponding proportion in the PH group. After PSM, the PA group had a larger percentage of transient atrial tachycardia and frequent atrial premature beats, and it had higher heart rate variability metrics. The proportion of unilateral PA combined with multiple ventricular premature beats was higher than that of bilateral PA. Older age, grade 3 hypertension, and hypokalemia were independent risk factors for the emergence of arrhythmias in PA patients. PA patients suffer from a greater prevalence of arrhythmias than well-matched PH patients.
Search Results
Characteristics of cardiac arrhythmia and heart rate variability in Chinese patients with primary aldosteronism
Shuang Wan, Chengcheng Zheng, Tao Chen, Lu Tan, Jia Tang, Haoming Tian, and Yan Ren
The association of adiponectin with risk of pre-diabetes and diabetes in different subgroups: cluster analysis of a general population in south China
Xun Gong, Lili You, Feng Li, Qingyu Chen, Chaogang Chen, Xiaoyun Zhang, Xiuwei Zhang, Wenting Xuan, Kan Sun, Guojuan Lao, Chuan Wang, Yan Li, Mingtong Xu, Meng Ren, and Li Yan
Objective
Adiponectin is an adipocyte-derived hormone with an important role in glucose metabolism. The present study explored the effect of adiponectin in diverse population groups on pre-diabetes and newly diagnosed diabetes.
Methods
A total of 3300 individuals were enrolled and their data were collected in the analyses dataset from December 2018 to October 2019. Cluster analysis was conducted based on age, BMI, waistline, body fat, systolic blood pressure, triglycerides, and glycosylated hemoglobin 1c. Cluster analysis divided the participants into four groups: a young-healthy group, an elderly-hypertension group, a high glucose–lipid group, and an obese group. Odds ratio (OR) and 95% CIs were calculated using multivariate logistic regression analysis.
Results
Compared with the first quartile of adiponectin, the risk of pre-diabetes of fourth quartile was decreased 61% (aOR = 0.39, 95% CI (0.20–0.73)) in the young-healthy group; and the risk of diabetes of fourth quartile was decreased 85% (aOR = 0.15, 95% CI (0.02–0.67)) in the obese group. There were no significant correlations between the adiponectin level and diabetes/pre-diabetes in the other two groups. Additionally, receiver operating characteristic curve analysis indicated that adiponectin could significantly improve the diagnosis based on models in the young-healthy group (from 0.640 to 0.675) and the obese group (from 0.714 to 0.761).
Conclusions
Increased adiponectin levels were associated with decreased risk of pre-diabetes in the young-healthy population, and with a decreased the risk of diabetes in the obese population. An increased adiponectin level is an independent protective factor for pre-diabetes and diabetes in a specific population in south China.
