1.The influence of the cognitive function and related dangerous factors in patients with lacunar infarction after carotid artery stenting
Hua YANG ; Zhangyong XIA ; Guangzhen SHAN ; Cunju GUO ; Huaiqian QU ; Cuilan WANG
Chinese Journal of Behavioral Medicine and Brain Science 2013;22(7):603-606
Objective To explore the influence of the cognitive function and related dangerous factors in patients lacunar infarction(LI) after carotid artery stenting (CAS).Methods Neuropsychological tests (MoCA and MMSE)were conducted in 43 patients with LI before CAS,1 month,6 months,1 year and 2 years after CAS and the scores were compared with those of 41 healthy cases.Results Compared with control group,in therapy group,MMSE scores before CAS,1 month and 6 months after CAS,MoCA scores before CAS(19.39 ±2.17) and 1 month after CAS(19.51 ± 1.99) and the scores of Cube Copying before CAS,Alternating Trail Making Test,attention and delayed recall before CAS,1 month after CAS and Clock Drawing before CAS,1 month and 6 months after CAS all lowered obviously.There were statistical differences(P< 0.05 or P < 0.01).Compared with before CAS,in therapy group,MMSE scores and MoCA scores 6 months,1 year and 2 years after CAS,the scores of Alternating Trail Making Test 2 years after CAS,Cube Copying and Clock Drawing 1 year and 2 years after CAS and attention and delayed recall 6 months,1 year and 2 years after CAS all increased obviously.There were statistical differences (P < 0.05 or P < 0.01).In the follow-up of 2 years,the result of Logistic Regression Analysis showed that MoCA scores has correlation with age(OR =50.751,95% CI 1.407 ~ 19.464; P =0.006),high blood pressure(0R=8.012,95% CI1.212 ~27.550; P=0.042)and low levels of education(OR=11.586,95% CI1.164~ 16.903 ; P =0.029) and no correlation with diabetes and CAS.Conclusion Cognitive impairment in patients with LI is improved 2 years after CAS,and visuospatial function,attention and delayed recall are significantly improved.But CAS is not independent protective factors for cognitive functions,and old age,low education levels and high blood pressure are independent risk factors for cognitive impairment in patients with LI.
2.Association of the appendicular skeletal muscle mass to fat mass ratio in early pregnancy with the risk of development of gestational diabetes mellitus
Huaiqian WANG ; Yanping LIU ; Rui LI ; Liangkun MA ; Aimin YAO ; Yu JIANG
Chinese Journal of Clinical Nutrition 2023;31(3):146-151
Objective:To assess the association of appendicular skeletal muscle mass(ASM) to fat mass(FM) ratio in early pregnancy with the risk of gestational diabetes mellitus (GDM).Methods:A total of 468 pregnant women who visited the Nutritional Department of Peking Union Medical College Hospital or Shunyi Maternal and Child Care Service Center in 2018 and 2019 were recruited. Detailed information and clinical data were collected. The body components were measured using the bioelectrical impedance analysis (BIA) method during early pregnancy (< 14 weeks) and the ASM to FM ratio was calculated. The patients were divided into the GDM group and normal glucose tolerance (NGT) group according to the results of the oral glucose tolerance test (OGTT) performed during 24-28 weeks. Binary logistics regression was used to explore the correlation between the ASM/FM ratio and the risk of GDM. The receiver operator characteristic (ROC) curve of subjects was used to evaluate the predictive value of ASM/FM ratio for GDM and the cut-off value was reported.Results:Compared to the NGT group, the ASM and FM in early pregnancy in the GDM group were significantly higher, while the ASM/FM ratio was significantly lower. A lower ASM/FM ratio in early pregnancy was one of the risk factors of developing GDM. The cut-off value of the ASM/FM ratio was 0.809. The area under the ROC curve for predicting GDM increased from 68.1% to 72.3% when ASM/FM ratio was incorporated, with a significant difference by Delong test ( P = 0.006). Conclusion:Inadequate muscle mass would increase the risk of GDM and the ASM/FM ratio could serve as a predictor of GDM.