ABSTRACT
@#Background: Previous studies showed controversial findings for correlation of periodontal disease and cognitive deficits. Methods: We searched systematically for studies pertaining to correlation of periodontal disease and cognitive deficits published between August 1980 and December 2019 on Web of Science and PubMed. We combined the data extracted from the included studies to determine the correlation between periodontal disease and cognitive deficits. Results: Our analysis indicated a higher risk of cognitive deficits in those with moderate to severe periodontal disease when compared to those with mild or no periodontal disease (odds ratio (OR) = 1.38 (95% confidence intervals (CI): 1.28-1.48). Subgroup analysis showed significant correlations in only case-control and cohort studies (case-control studies: OR = 1.49 (95% CI: 1.24-1.80); cohort studies: relative risk (RR) = 1.33 (95% CI: 1.22-1.45)). Subgroup analysis also indicated that moderate to severe periodontal disease was correlated to increased dementia and Alzheimer disease risks, whereas no significant correlation was found between periodontal disease and mild cognitive impairment (dementia: OR/RRs = 1.32 (95% CI: 1.22-1.44); Alzheimer disease: OR/RRs = 1.51 (95% CI: 1.20-1.90); Mild cognitive impairment: OR/RRs = 1.31 (95% CI: 0.89-1.94)). Furthermore, subgroup analysis showed significant correlations between cognitive deficits and tooth loss, periodontitis, whereas no significant correlation was found between deep periodontal pockets and cognitive deficits (tooth loss: OR/RRs = 1.57 (95% CI: 1.39- 1.77); periodontitis: OR/RRs = 1.43 (95% CI: 1.03-2.00); deep periodontal pockets: OR/RRs = 1.24 (95% CI: 0.77-2.00)). Conclusions: This review suggests a significant correlation between periodontal disease and cognitive deficits. Interventional studies for periodontal disease may be beneficial for patients with cognitive deficits
ABSTRACT
Objective To evaluate the changes of left ventricular regional function in normal subjects with aging and the influencing factors by Doppler tissue imaging. Methods One hundred and twelve normal subjects were divided into four groups according to age: I group with age≤18 years old ; II group with 18 60 years old. Using a quantitative tissue velocity analysis system and tissue tracking, the peak velocities of different ventricular segments at systole, early and late diastole (Vs, Ve,Va) , the Ve/Va ratios were obtained and the effects of age, gender, heart rate and STd were analyzed. Results (1) Peak velocities of different segments of each wall were decreased one by one from mitral annulus, the basal, middle segment to the apical portion. (2) Peak velocities of different ventricular walls were significantly different, with the antero- and posterio-inter-ventricular septum being the lowest CVe (6. 89?2. 60) ,(7. 94?2. 64)cm/s]and with the latero-,posterio-,antero, and inferior walls of the left ventricle being higherCVe (9. 85?3. 02) , (9. 80?3. 09), (8. 86?3. 16), (8. 23?2. 48) cm/s] . (3) Peak velocities of different segments were associated with age, STd, BMI, heart rate and not associated with gender. (4) The Ve/Va ratios were increased one by one from mitral annulus, basal, middle segment to apical portion, and were significantly lower in III group and IV group than in I group and II group. Conclusions Peak velocities of different segments at different walls change regularly and age is the most important influencing factor to the diastolic velocities.