Search

The pharmacokinetic (PK) characteristics of drugs were altered under high‐altitude hypoxia. We aim to describe the population PK of atorvastatin (ATV) to identify patient characteristics that are predictive of variability in the PK parameters of the ATV and investigate the effects of high‐altitude hypoxia on the blood concentration of ATV in patients with hyperlipidemia. A total of 160 plasma concentrations were collected from 40 patients with hyperlipidemia in plateau areas and 40 in plain areas. The population pharmacokinetic model of patients with hyperlipidemia in plateau and plain areas of China was established by a nonlinear mixed‐effects model. The PK of ATV were described by a 1‐compartment model with first‐order elimination. The main PK parameters of ATV were the first‐order absorption rate (0.76 hour−1 fixed); clearance (174.22 L/h) and apparent volume of distribution (1119.62 L). The values of area and age were identified as significant covariates for the clearance, area, age, and urea for the volume of distribution. The steady‐state peak concentration in the plateau area was higher than that in the plain area. This study may suggest dose reduction is necessary for patients with hyperlipidemia in high altitudes. [ABSTRACT FROM AUTHOR]

Objectives: The proportion of older people with dementia in China is gradually increasing with the increase in the aging population over recent years. Hypertension and diabetes are common non‐communicable diseases among rural populations in China. However, it remains unclear whether these conditions affect the occurrence and development of cognitive impairment as there is limited research on cognitive status and its risk factors among residents of rural areas. Methods: A multi‐stage stratified cluster random sampling method was used to select 5400 participants from rural permanent residents. A self‐designed structured questionnaire was used to investigate demographic data of the participants. Cognitive function was assessed using the Montreal Cognitive Function Assessment Scale (MoCA). The results were analyzed using chi‐square test, ANOVA and multiple linear regression analysis. Results: A total of 5028 participants returned the survey, giving a response rate of 93.1%. Higher education (odds ratio (OR) = 3.2, 95% confidence interval (CI) 2.87–3.54, p < 0.001), higher income (OR = 1.61, 95% CI 1.16–2.07, p < 0.001), and dietary control (OR = 0.66, 95%CI 0.34–0.98, p < 0.001) were protective factors. A visual representation of the relationship between annual income and MoCA score showed an inverted U‐curve, the group with an annual income of 6000–7999 RMB had a maximum OR of 1.93 (95%CI 0.12–2.74, p < 0.001). While difficulty in maintaining sleep were risk factors for cognitive impairment (OR = −2.28, 95% CI–4.18–0.39, p = 0.018). Conclusions: Participants with middle incomes had better cognitive status than those with the highest incomes. Higher education, proper diet control and good sleep are beneficial to the cognitive status of residents in rural areas. Key points: Higher education level, higher income level and diet control are protective factors for the development of cognitive dysfunction.Cognitive dysfunction is more likely to occur in women and in people who have difficulty maintaining sleep.There were no significant differences in the demographic characteristics of patients with hypertension, diabetes, the combination of hypertension and diabetes, and healthy residents in low‐income rural areas.The cognitive status of middle‐income people is better than that of high‐income people than that of low‐income people, a visual representation of the relationship between annual income and MoCA score showed an inverted U‐curve. [ABSTRACT FROM AUTHOR]