Objective To investigate the cognitive characteristics and vascular risk factor between early onset de?pression and late onset depression in late life depression and provide a clue to elucidate the cause of cognitive impairment in late life depression. Method Fifty-six late life depression patients were recruited in our hospital, including 29 early on?set depression patients and 27 late onset depression patients. 25 controls were recruited from Guangzhou community. Cog?nitive evaluation were conducted in all the patients and controls, including MMSE, memory, attention, language, visuospa?tial abilities,executive function and Framingham vascular risk assessment, and analyze the cognitive and vascular risk be?tween the patients. Result There were statistically significant differences in overall cognitive assessment MMSE(24.8 ± 2.9,22.8±3.5,P=0.030), symbol digit modalities test(SDMT)(29.8±10.5, 22.9±11.8, P=0.028), clock drawing test(CDT) (3.6 ± 0.8, 2.9 ± 1.3, P=0.006) and trail making test(TMT) (60.4 ± 20.6, 74.7 ± 28.8, P=0.027) between late onset depression and early onset depression. In addition, the score of vascular risk assessment was significant between late onset depression and early onset depression(14.6±2.7,12.3±2.2,P=0.001). Conclusion Compare with early onset depression, late onset de?pression has much severe cognitive impairments and increased vascular risk factors.

ObjectiveTo determine the risk factors associated with hypoglycemia in community patients with type 2 diabetes mellitus（T2DM）. MethodsA case-control study was performed among 914 patients with T2DM and no medical history of hypoglycemia were selected in the Diabetes Unit of Tongji University School of Medicine Affiliated Anting Community Health Center in 2018. A total of 196 patients with T2DM who had ≥1 hypoglycemia event in the past 12 months were presented as the case group， and 718 patients who did not have any hypoglycemia event during the same period were included as the control group. Medical history， medication， life style， and related factors were collected. Multivariate logistic regression analysis was used to determine the risk factors associated with hypoglycemia. ResultsHistory of coronary heart disease ［adjusted odds ratio（aOR）=2.077， 95% CI： 1.293-3.337］， renal disease （aOR=4.775， 95% CI： 1.537-14.830）， and previous insulin use （aOR =1.765， 95%CI： 1.147-2.716） significantly increased the risk of hypoglycemia， while angiotensin converting enzyme inhibitors（ACEI）（aOR =0.127， 95%CI： 0.044-0.366） and β-receptor blockers （aOR =0.271， 95%CI： 0.119-0.616） decreased the risk of hypoglycemia among diabetic patients. ConclusionIncidence of hypoglycemia in community patients with diabetes is high. History of coronary heart disease and kidney disease， and previous insulin use may increase the risk of hypoglycemia， which warrants further attention by community general practitioners.