1.The therapeutic effect of sertraline combined with brain function treatment for depressive episodes
Xinzi GUO ; Gaifen ZHANG ; Qianqian WU ; Mo SUN ; Zhenguo WU
Chinese Journal of Behavioral Medicine and Brain Science 2014;23(8):698-700
Objective To observe the therapeutic effect of sertraline combined with brain function treatment instrument for depressive episodes.Methods According to sequence of hospitalization,80 patients with depression without severe physical disease randomly divided into sertraline with brain function treatment group (40 cases,group A) and only take sertraline group (40 cases,group B),and two groups were given Sertraline 100 mg/day for 8 weeks.24 Hamilton Depression Scale (HAMD-24) and 20 Self-rating Depression Scale (SDS-20) were assessed before and after 1,2,4,6,8 weekend treatment.Results The scores of HAMD-24 and SDS-20 were not significant difference between the two groups before treatment(P>0.05),but there were statistically significant after treatment (P<0.05).They were significantly decreased after 8 weeks treatment in group A and were decreased slightly in group B with HAMD-24 and SDS-20.Clinical efficiencies of HAMD of the two groups were 87.2 %,76.3 %,respectively,and those of SDS were 89.7 %,78.9 %,respectively.Clinical efficacy in group A was significantly better than that in group B (P<0.05).Conclusion Sertraline with brain function treatment instrument can shorten the onset time and improve its effect.
2.Association between hemoglobin concentration and stroke severity on admission in ischemic stroke with-out diabetes
Runhua ZHANG ; Gaifen LIU ; Yuesong PAN ; Yong JIANG ; Yilong WANG ; Yongjun WANG
Clinical Medicine of China 2016;32(9):769-772
Objective To evaluate the association between hemoglobin concentration and stroke severity on admission in ischemic stroke without diabetes. Methods Based on the China National Stroke Registry,the information of acute stroke patients were collected by trained research coordinators and investigators with the methods of review clinical records or interview. Demography, disease history, behavior and habits, hemoglobin concentration,and NIHSS score on admission were collected in this study. The iIncluded patients with the integri?ty of the information of non diabetes,3 h to the hospital,no gastrointestinal bleeding and Hb concentration and NIHSS score at admission. Hemoglobin concentration was classed according to quintiles and the outcome was grouped into ≤3 and >3 groups. The method of logistic regression was used to explore the association between hemoglobin and NIHSS. Results A total of 1 419 individuals was included in this study,including 883 males and 536 females. The mean age was 67. 24±12. 46 years old and the proportion of NIHSS>3 was 67. 51% (958/1419). With respect to non?minor stroke (NIHSS>3),the odds rations and 95% confident intervals of patients with hemoglobin ≤121. 0 g/L(Q1),>122. 1-≤132. 0 g/L(Q2),>141. 0-≤152. 0 g/L(Q4),≥152. 1 g/L (Q5) were 1. 84(95%CI 1. 21-2. 79,P=0. 004),1. 24(95%CI 0. 83-1. 86,P=0. 294),1. 32(95%CI 0. 88-1. 96,P=0. 178) ,1. 52( 95%CI 1. 01-2. 28,P=0. 044) respectively,compared with hemoglobin between 132. 0 and 141. 0 g/L( Q3) . Conclusion Stroke severity is associated with lower and higher hemoglobin concentration in acute ischemic stroke without diabetes.
3.Effect of ambient temperature on mortalities of ischemic stroke and hemorrhagic stroke in Beijing: a time series study
Runhua ZHANG ; Jing WANG ; Gang LI ; Gaifen LIU
Chinese Journal of Epidemiology 2023;44(11):1802-1807
Objective:To assess the effect of ambient temperature on mortalities of ischemic stroke and hemorrhagic stroke in Beijing, China.Methods:The stroke mortality surveillance data and meteorological data in Beijing from January 1, 2014 to December 31, 2019 were collected. Distributed lag nonlinear models were used to estimate the cumulative effects of ambient temperature on stroke mortality, including ischemic stroke and hemorrhagic stroke after adjusting for temporal trend, day of week, air pollution, and relative humidity. Stratified analysis was conducted to evaluate whether sex and age modify the effect.Results:From 2014 to 2019, a total of 99 222 stroke deaths occurred in Beijing, including 69 327 ischemic stroke deaths, 24 954 hemorrhagic stroke deaths, and 4 941 unspecific stroke deaths. Using distributed lag nonlinear models, it was found the effect of temperature on stroke mortality was nonlinear and lagged. The ischemic stroke mortality risk analysis shows that with the minimum ambient temperature (MMT) for mortality (10.0 ℃) as reference, the effect of extreme low temperature (-6.2 ℃) was lagged and the relative risk ( RR) was highest at lag 0-21 days ( RR=1.26, 95% CI:1.04-1.51). The effect of extreme high temperature occurred with a lag of 0-3 days, and the cumulative RR value was 2.13 (95% CI: 1.72-2.62) at lag 0-14 days. The hemorrhagic stroke mortality risk analysis shows that with the MMT for mortality (28.0 ℃) as reference, the RR of extreme low temperature on stroke mortality was highest at lag 0-21 days ( RR=2.14, 95% CI: 1.23-3.70), and the effect of extreme high ambient temperature was short and only has statistical significance in the cumulative effect with a lag of 0-3 days ( RR=1.14, 95% CI: 1.01-1.28). Stratified analysis revealed that the effects of extreme and moderate low ambient temperature on hemorrhagic stroke death were higher in women compared to men, and the difference is statistically significant. Extreme high ambient temperature might increase the risk of ischemic stroke deaths in populations of different genders and age groups. Conclusions:The effect of low ambient temperature on ischemic stroke mortality was lagged, and the effect on hemorrhagic stroke was persistent. The effect of high ambient temperature on ischemic stroke mortality was persistent, but more transient on hemorrhagic stroke mortality. Sex and age might modify the effect of ambient temperature on stroke mortality.
4.Intracerebral Hemorrhage Progression Score: A Novel Risk Score to Predict Neurological Deterioration after Intracerebral Hemorrhage
Ruijun JI ; Linlin WANG ; Feifei MA ; Wenjuan WANG ; Yanfang LIU ; Runhua ZHANG ; Dandan WANG ; Jiaokun JIA ; Hao FENG ; Gaifen LIU ; Yi JU ; Jingjing LU ; Xingquan ZHAO
Journal of Stroke 2022;24(2):307-310
5.Effects of menopause on depressive and anxiety symptoms in community women in Beijing
Ruiyi TANG ; Min LUO ; Yubo FAN ; Zhuolin XIE ; Feiling HUANG ; Duoduo ZHANG ; Gaifen LIU ; Yaping WANG ; Shouqing LIN ; Rong CHEN
Chinese Journal of Obstetrics and Gynecology 2022;57(6):419-425
Objective:To determine the effects of menopausal stage, age and other associated risk factors on symptoms of anxiety and depression among women in a community in Beijing.Methods:This study was a community-based prospective cohort. Participants who had transitioned through natural menopause, completed two or more depressive and anxiety symptoms evaluations, aged 35 to 64 years, and did not use hormone therapy were selected from the Peking Union Medical College Hospital aging longitudinal cohort of women in midlife to this analysis. The primary outcome variables were depressive and anxiety symptoms, assessed by hospital anxiety and depression scale (HADS). The generalized estimation equation was used in the statistical analysis.Results:Followed up from 2006 to 2014, 430 women and 2 533 HADS assessments were retained in the cohort. Depressive symptoms were more common than anxiety symptoms during all menopausal stages. The incidences of depressive and anxiety symptoms were 14.5% (19/191) and 3.1% (4/191) in the premenopausal -3 stage, respectively. The incidence increased in both menopausal transition and postmenopausal stage, with the highest incidence in the +1c stage [20.6% (155/751) and 8.8% (66/751), respectively]. However, these differences were not statistically significant (all P>0.05). Depressive symptoms were highest in the ≥60-<65 age group [20.8% (74/355)], and anxiety symptoms were highest in the ≥50-<55 age group [8.2% (62/754)]; but there were no statistical significances between different age groups and depressive and anxiety symptoms (all P>0.05). Multivariable analysis showed that high body mass index, low education status, and poor health status were independently associated with depressive symptoms (all P<0.05), and that poor health status, trouble falling asleep, and early awakening were independently associated with anxiety symptoms (all P<0.01). Conclusions:Depressive and anxiety symptoms are more common during menopausal transition and postmenopausal stage compared with reproductive stage. Depressive symptoms are more common than anxiety symptoms. To screen and assess depressive and anxiety symptoms in perimenopausal women is essential, especially for women with high risk factors.