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Objective: With the aging process in China is growing, Alzheimer's has become a serious public health problem in older people physical and mental health. The main performance of the progressive the comprehensive cognitive decline, behavioral disorders and reduced ability of daily life. By dementia burden of individuals, families and society is becoming a paid close attention to social problems. Cognitive function (Cognition) is the ability of the human body to the external things, is one of the important functions of the senior center of the brain, cognitive impairment is an important clinical features of the dementia early, in recent years, many studies suggest that hypertension is cerebrovascular disease major risk factors and cognitive decline, dementia is closely related. Microalbuminuria (MAU), not only on behalf of the glomerular endothelial function impaired, but also an important symbol of systemic vascular endothelial cell damage is closely related with systemic atherosclerosis, vascular-related diseases such as high blood pressure and cardiovascular disease the progress, forecasting, evaluation of treatment effect also has important reference value. This study aimed to explore the risk factors affect cognitive function in elderly hypertensive patients by observing the cognitive impairment of elderly hypertensive patients with microalbuminuria relationship, thus providing a more sensitive, specific, inexpensive and practical means of detection and indicators. Methods: 197 cases, 98 cases were male, female 99 cases, the average (68.08 ± 6.69) years old at the Hospital of Hebei Medical treatment of elderly patients with hypertension. Selected patients meet the diagnostic criteria of Hypertension Prevention Guide \psychosis, severe hearing, vision and language barriers, tumors, trauma, and recent surgery. Scale (mini mental state examination, MMSE) score for patients based on internationally accepted mini-mental status assessment of cognitive function, patients were divided into two groups: cognitive dysfunction group (N = 38) and normal cognitive function group ( N = 159). Collected the clinical data, including gender, age, marital status, education, occupation, and 60-year-old precursor mental work, income, lifestyle behaviors (smoking, drinking), chronic diseases and their risk factors related complications such as measuring height, body weight and blood pressure, hypertension classification, calculation of body mass index (BMI), the determination of total cholesterol (TC), triglycerides (TG), fasting plasma glucose (FPG), and uric acid (UA) and 24-hour urinary albumin excretion rate ( UAER) and other indicators, UAER 20 ~ 200ug/min defined as microalbuminuria. UAER as the microalbuminuria evaluation indicators and for statistical analysis. Results: normal group on cognitive function and cognitive dysfunction group univariate analysis results show that, age, education level, marriage before the age of 60 body mental, alcohol consumption, income, classification of hypertension, cholesterol, and 24-hour urinary albumin excretion rate and other factors in cognitive dysfunction group (N = 38), and cognitive function in the normal group (N = 159) between the difference was statistically significant (P lt; 0.05); gender, smoking history, body mass index, duration of hypertension and coronary heart disease history in the difference between the two groups was not statistically significant (P gt; 0.05). 2 cognitive dysfunction age group, the value of the three indicators of cholesterol, 24-hour urinary albumin excretion rate were significantly higher than the group of normal cognitive function, age (74.47 ± 6.73) vs (66.55 ± 5.72) years old; cholesterol ( 5.09 ± 1.20) vs (4.61 ± 1.20) mmol / L and 24-hour urinary albumin excretion rate (42.52 ± 36.61) vs (16.55 ± 14.38) ug / min (P lt; 0.05). The 197 elderly investigation 38 cognitive impairment, accounting for 19.3%. Illiterate 20, 14 cognitive impairment, accounting for 65.0%; 67 primary schools, cognitive impairment and 18, accounting for 26.9%; 65 junior high the 7 cognitive impairment, 10.8%; senior secondary and above 45 cognitive impairment, accounting for 0.0% (χ 2 = 44.923, P = 0.000). Selected four pairs of elderly patients with hypertension Logistic regression analysis showed that age, UAER and educational level and hypertension in the elderly cognitive dysfunction was independently associated. Were age (OR = 2.990,95% CI: 1.119-7.987, P lt; 0.05), UAER (OR = 3.016,95% CI: 1.032-8.816, P lt; 0.05) and educational level (OR = 0.324,95 % CI: 0.141-0.747, P lt; 0.05). Conclusion: The level of cognitive dysfunction group UAER was significantly higher than the normal cognitive function group (P lt; 0.05), elderly patients with hypertension in addition to educational level and age factors, microalbuminuria and reduced cognitive function is closely related to trace albuminuria as a sign of endothelial cell injury is an independent risk factor for cognitive impairment of elderly patients with hypertension.
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