摘要:目的:观察伴有抑郁症状的心力衰竭患者加用黛力新干预的疗效。方法: 65例用Zung抑郁自评量表检测评测诊断为抑郁症并心力衰竭患者,将患者分为黛力新治疗组及对照组,治疗组在常规治疗基础上加用黛力新(2片/d),治疗1个月后再行Zung抑郁自评量表粗分及24项症状统计,同时观察治疗前后患者心功能改善情况。结果: 35例治疗组患者心功能的改善及Zung抑郁自评量表检测粗分及24项症状改善明显优于对照组。〖HTH〗结论〖HTSS〗: 黛力新使心衰患者的抑郁症状很快得到改善,并提高了心力衰竭的疗效。Abstract: Objective: To observe the curative efficacy of deanxit to the patients suffering by heart failure with depression. Methods: Sixtyfive patients who were diagnosed as depression by Zung Selfrating Depression Scale are into deanxit treatment group and control group,and treatment group receive the treatment with two pieces of deanxit everyday besides the conventional therapy.After a month,we count the Zung selfrating depression scale score and study the24 symptoms,at the same time,we observed the change of cardiac function in the patients. Results:The curative efficacy in the treatment group is better than those in the control group with improvement in cardiac function and Zung selfrating depression scale score and the alleviation for 24 symptoms. Conclusion:Deanxit can alleviate symptoms of depression in patients with heart failure soon and increase the efficacy of heart failure.
目的 调查抑郁症患者疾病应对方式现状，为心理护理干预提供科学依据。 方法 采用问卷调查方式对四川大学华西医院心身障碍病房2012年4月－10月住院的220例抑郁症患者进行一般资料及疾病应对方式调查，并就调查结果进行分析。 结果 抑郁症患者应对方式平均得分（31.5 ± 6.8）分；生活自理能力、兴趣爱好、健康状况及经济状况与应对方式总分存在相关关系（P值分别为0.007、0.000、0.036、0.028）。 结论 抑郁症患者普遍存在应对不良，其生活自理能力、兴趣爱好、健康及经济状况可能是影响抑郁症发展的相关因素。
目的:了解抑郁症患者的生命质量与疾病影响程度,探讨抑郁程度、生命质量和疾病影响程度的关系。方法:运用随意抽样方法,对2007年7～9月在四川大学华西医院心理卫生中心住院的抑郁症患者进行问卷调查。问卷包括:①一般人口学资料;②Zung抑郁自评问卷SDS;③汤旦林生命质量表TD;④美国华盛顿大学卫生服务系1977年编制、我国李君荣、张新平等翻译的疾病影响程度量表SIP。统计方法:采用SPSS10.0软件对数据进行处理,采用频数分析、t检验、相关分析和ANOVA多元线形回归分析。结果:①住院抑郁症患者TDL为60.04+16.95,男女患者无显著性差异(T1=0.726 sig=0.47);②多数抑郁症患者的TDL处于比较差和中下水平抑(比较差占62.7%,中下占17.9%;③患者受疾病影响严重,SIP总平均受损分为40.01+15.74,其中社会心理功能影响平均分为53.86+22.22,其他功能影响平均分为45.09+17.81,躯体功能影响平均分为21.84+14.85;④抑郁症患者TDL、SIP和SDS 有一定关系,分别SDS与TDL的相关系数r=0.248, sig为0.043,SDS与SIP的相关系数r=0.526, sig为0.000;⑤患者的TDL与性别、病程、住院次数、职业、付费方式无显著性相关关系,而与年龄有一定关系(R=0.255,Sjg=0.037);⑥患者的SIP与患者的与年龄、病程、住院次数、付费方式、职业等无显著性关系,Pgt;0.05。而与性别有一定关系,R=0.249,Sjg=0.042。结论:①抑郁症患者的生命质量TDL严重下降,明显低于正常人,而且处于比较差和中下的患者占多数(差为69.6%,中下为17.9%);②抑郁症患者疾病影响严重,SIP功能损失分为40.01+15.74,其中社会心理影响最严重,为53.86+22.22;③郁症患者的SDS与TDL和SIP有明显相关性;④抑郁症患者的TDL与年龄有一定关系,SIP与性别有一定关系。
Objective To investigate the incidences of anxiety and depressive symptoms among patients with intrauterine adhesions (IUA) managed by day surgery model, and explore their influential factors. Methods Convenience sampling was used to select patients who underwent day surgery at West China Second University Hospital, Sichuan University between January 2021 and December 2022. General information questionnaire and Hospital Anxiety and Depression Scale were used to assess the socio-demographic data and anxiety and depressive symptoms of the participants. Logistic regression was used to analyze the influential factors of anxiety and depressive symptoms. Results A total of 1100 patients were included. The incidence of anxiety and depressive were 16.5% (181/1 100) and 16.9% (186/1 100) among patients undergoing day surgery for IUA respectively. Longer waiting days for admission [odds ratio (OR)=1.012, 95% confidence interval (CI) (1.004, 1.020), P=0.004], married [OR=0.547, 95%CI (0.344, 0.869), P=0.011], more times of adhesion separation [OR=0.826, 95%CI (0.691, 0.986), P=0.034], older age [OR=0.947, 95%CI (0.909, 0.987), P=0.010] were influencing factors for anxiety symptoms in patients with IUA. Unemployment [OR=0.504, 95%CI (0.256, 0.994), P=0.048], university or undergraduate education [OR=0.326, 95%CI (0.208, 0.512), P<0.001], and high school or vocational school education [OR=0.532, 95%CI (0.319, 0.888), P=0.016] were the influencing factors for depressive symptoms in patients with IUA. Conclusions There is a high incidence of anxiety and depressive symptoms among patients with IUA under the management of day surgery mode. The influential factors include socio-demographic factors (age, education level, marital status and occupation) and disease factors (times of adhesion). Medical staff should pay attention to the early screening of mental health status of patients with IUA, and give targeted prevention and treatment measures.
ObjectiveTo explore the correlation of serum levels of 5-hydroxytryptamine (5-HT) and 5-HT2A receptor gene T102C polymorphism with suicidal behavior by poison in non-depressive patients, in order to diagnose and intervene the suicidal behavior of patients as early as possible. MethodsSixty-two non-depressive patients with the behavior of suicide by poison treated between January 2013 and June 2014 were selected as patient group, and other 66 healthy persons were selected as control group. Peripheral blood in the two groups of patients were collected to test the serum levels of 5-HT with enzyme linked immunosorbent assay, and the 5-HT2A receptor gene T102C polymorphism was detected by polymerase chain reaction-restriction fragment length polymorphism. The data were analyzed by SPSS 19.0 statistically. ResultsThe serum level of 5-HT in the patient group was significantly lower than that in the control group (P<0.001), and the frequency of T102C genotype in the patient group was higher than the control group (χ2=5.533, P=0.013). The distribution of genotype was different, and homozygous mutations of CC in the patient group were higher than the control group (χ2=5.648, P=0.017). ConclusionThe serum levels of 5-HT and 5-HT2A receptor gene T102C polymorphism, and the frequency of T102C genotype may be related to suicidal behavior by poison in non-depressive patients.
Objective To systematically review the prevalence of depression in rural Chinese population aged 60 and above from 2010 to 2023. MethodsThe CNKI、WanFang Data、VIP、CBM、PubMed、Embase and Cochrane Library databases were electronically searched to collect cross-sectional studies on the prevalence of depression of elderly populations in rural China from January 2010 to March 2023. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed using Stata 17.0 software. ResultsA total of 23 cross-sectional studies with a total sample of 34 916 cases and 11 308 depression patients were included. The meta-analysis results showed that the prevalence of depression in rural Chinese population was 31.02% (95%CI 26.10% to 36.16%). Subgroup analysis showed that the prevalence was higher among females than males; the GDS-30 scale had the highest detection rate, followed by the CES-D-10 and GDS-15 scales; the prevalence was higher in the Midwest than in the East; and the prevalence was higher in surveys conducted after 2015 than in 2015 and before. In addition, the prevalence of depression was higher in the rural elderly population aged 70 and above, non-married, illiterate or semi-literate, with poor self-rated health status, living alone, in poor economic status, with chronic diseases, and with low social activity. ConclusionThe prevalence of depression is high among the rural elderly population in China, and there are significant disparities in the prevalence of different characteristics of the elderly. These differences should be given more attention to improve the mental health of the rural elderly population. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
The clinical manifestations of patients with schizophrenia and patients with depression not only have a certain similarity, but also change with the patient's mood, and thus lead to misdiagnosis in clinical diagnosis. Electroencephalogram (EEG) analysis provides an important reference and objective basis for accurate differentiation and diagnosis between patients with schizophrenia and patients with depression. In order to solve the problem of misdiagnosis between patients with schizophrenia and patients with depression, and to improve the accuracy of the classification and diagnosis of these two diseases, in this study we extracted the resting-state EEG features from 100 patients with depression and 100 patients with schizophrenia, including information entropy, sample entropy and approximate entropy, statistical properties feature and relative power spectral density (rPSD) of each EEG rhythm (δ, θ, α, β). Then feature vectors were formed to classify these two types of patients using the support vector machine (SVM) and the naive Bayes (NB) classifier. Experimental results indicate that: ① The rPSD feature vector P performs the best in classification, achieving an average accuracy of 84.2% and a highest accuracy of 86.3%; ② The accuracy of SVM is obviously better than that of NB; ③ For the rPSD of each rhythm, the β rhythm performs the best with the highest accuracy of 76%; ④ Electrodes with large feature weight are mainly concentrated in the frontal lobe and parietal lobe. The results of this study indicate that the rPSD feature vector P in conjunction with SVM can effectively distinguish depression and schizophrenia, and can also play an auxiliary role in the relevant clinical diagnosis.