Objectives To analyze the prevalence and clinical features of depression, anxiety, depression and anxiety in Tibetan patients with epilepsy and to improve the diagnosis and treatment. Methods 102 patients with epilepsy, who had been admitted to the Department of Neurology of the People's Hospital of Tibet Autonomous Region from January 2017 to December 2017, were diagnosed according to the Chinese Standard Classification and Diagnostic Criteria for Mental Disorders (3rd Edition) (CCMD-3). The Hamilton depression scale (HAMD 24 items) and the Hamilton anxiety scale (HAMA 14 items) were used to measure depression and anxiety. Different genders, ages, durations, frequency of attacks, and seizures types were analyzed for depression, anxiety, depression and anxiety. Univariate analysis was used to screen the factors that may cause depression, anxiety, depression and anxiety in patients with epilepsy. Logistic regression was used to analyze the risk factors of depression, anxiety, depression and anxiety in patients with epilepsy. Results Among the 102 patients with epilepsy, 35 (34.31%) comorbid depression, 10 (9.80%) comorbid anxiety, and 54 (52.94%) comorbid depression and anxiety. Univariate analysis showed that there was a significantly statistical difference in the duration of the disease and the frequency of seizures in local patients with epilepsy (P<0.05). There was a statistically significant difference in the frequency of epileptic seizures and anxiety (P<0.05). Multivariate logistic regression analysis showed that the probability of anxiety in patients with a disease duration of ≤2 years was only 10.1% of those with a course >2 years [OR=0.101, 95%CI (0.012, 0.915), P<0.05]; and the frequency of seizures was not an risk factors for epileptic comorbid with anxiety (P>0.05). The rate of depression and anxiety in patients with seizure frequency >2 times per month was 4.853 times higher than that of patients with seizure frequency ≤2 times per month [OR=4.853, 95%CI (2.024, 11.634), P<0.05]. Conclusions Tibetan patients with epilepsy have a high prevalence of depression, anxiety, depression and anxiety. In the diagnosis and treatment, we should strengthen the understanding and provide the appropriate prevention and treatment to improve the diagnosis and treatment level.
ObjectiveTo evaluate the reasonableness of anticoagulation management strategy in patients after mechanical heart valve replacement. MethodsAll patients were followed and registered continually at outpatient clinic from July 2011 to February 2013, with a minimum of 6 months after surgery. Targeted international normalized rate (INR) 1.60 to 2.20 and warfarin weekly dosage adjustment were used as the strategy of anticoagulation management. Except bleeding, thrombogenesis and thromboembolism, time in therapeutic range (TTR) and fraction of TTR (FTTR) were adopted to evaluate the quality of anticoagulation management. ResultsA total 1 442 patients and 6 461 INR values were included for data analysis. The patients had a mean age of 48.2±10.6 years (14-80 years) and the following up time were 6 to 180 months (39.2±37.4 months) after surgery. Of these patients, 1 043 (72.3%) was female and 399 (27.7%) was male. INR values varied from 0.90-8.39 (1.85±0.49) and required weekly doses of warfarin were 2.50-61.25 (20.89±6.93 mg). TTR of target INR and acceptable INR were 51.1% (156 640.5 days/306 415.0 days), 64.9% (198 856.0 days/306 415.0 days), respectively. FTTR of target INR and acceptable INR were 49.4% (3 193 times/6 461 times), 62.6% (4 047 times/6 461 times). There were 8 major bleeding events, 7 mild bleeding events, 2 thromboembolism events, and 2 thrombogenesis in the left atrium. ConclusionIt is reasonable to use target INR 1.60-2.20 and warfarin weekly dosage adjustment for patients after mechanical heart valve replacement.
Objective To investigate the clinical characteristics of facial palsy after stroke (FPS) in order to enhance the understanding of FPS. Methods Patients with stroke and admitted to hospital from March to June 2015 were selected in this study. They were evaluated by Modified House-Braekmann (MHBN), Barthel Index (BI), National Institute of Health Stroke Scale (NIHSS), Standardized Swallowing Assessment and Patient Health Questionnaire-9 (PHQ-9) within 48 hours after admitting. According to the MHBN scores, the patients were divided into FPS group and non-FPS group, and the incidences of dysphagia and depression, and the scores of BI, NIHSS, and PHQ-9 were compared between the two group. Six months later, the patients’ prognosis of stroke was assessed by the Modified Rankin Scale. Results A total of 129 patients were enrolled in this study, including 81 (62.8%) with FPS, and 48 (37.2%) without FPS. The incidences of dysphagia and depression in the FPS group (64.2%, 59.3%) were higher than those in the non-FPS group (22.9%, 18.8%), and the differences were statistically significant (P<0.05). The BI, NIHSS, PHQ-9 scores in the FPS group were 41.79±14.19, 11.23±4.62, 11.54±3.43, respectively, while the scores in the non-FPS group were 66.39±19.96, 7.54±3.69, 7.67±2.89, respectively; the differences in the scores between the two groups were statistically significant (P<0.05). Six months later, the patients’ prognosis in the non-FPS group was better than that in the FPS group (67.4%vs. 32.9%, P<0.001). Conclusions There is a high incidence of FPS, and there are high incidences of dysphagia and depression in the FPS patients with stroke. FPS influences the patients’ prognosis, so the understanding and treatment of FPS should be enhanced.
ObjectivTo investigate the incidence of depression and its etiological factors in patients with hypospadias after operation. MethodsFrom January to June 2015, we investigated the incidence of depression symptoms among patients with hypospadias after surgical treatment from January 1990 to December 1994 in Zhangzhou Affiliated Hospital of Fujian Medical University, and we matched them with mentally healthy adults of the same age to 1:1 ratio. Zung Self-Rating Depression Scale and Correlation Factor Questionnaire were used to investigate and analyze the related factors of depression symptoms between the patients with hypospadias and the healthy males. ResultsA total of 80 patients with hypospadias after surgical treatment and 80 healthy males as control were included. There were no significant differences in male secondary sexual development, testis development, serum testosterone levels and postoperative length and girth of the penis in two groups. The incidence rate of depression symptoms was 45.0% (16/80) in the hypospadias patients after operation, extremely significantly higher than 6.3% (5/80) in the control group (χ2=6.632, P=0.01). The result of multiple stepwise regression analysis showed that the main risk factors of depression symptoms were worries about dissatisfaction with penile and scrotal appearance (F=16.210 3, P=0.001), sexual satisfaction (F=4.621 2, P=0.036) and sexual function (F=4.103 2, P=0.043). ConclusionSymptoms of depression often occur in hypospadias patients after operation, and the major etiological factors are dissatisfaction with penile and scrotal appearance, sexual satisfaction and sexual function.
ObjectiveTo explore the risk factors for accompanying depression in patients with community type Ⅱ diabetes and to construct their risk prediction model. MethodsA total of 269 patients with type Ⅱ diabetes accompanied with depression and 217 patients with simple type Ⅱ diabetes from three community health service centers in two streets of Pingshan District, Shenzhen from October 2021 to April 2022 were included. The risk factors were analyzed and screened out, and a logistic regression risk prediction model was constructed. The goodness of fit and prediction ability of the model were tested by the Hosmer-Lemeshow test and the receiver operating characteristic (ROC) curve. Finally, the model was verified. ResultsLogistic regression analysis showed that smoking, diabetes complications, physical function, psychological dimension, medical coping for face, and medical coping for avoidance were independent risk factors for depressive disorder in patients with type Ⅱ diabetes. Modeling group Hosmer-Lemeshow test P=0.345, the area under the ROC curve was 0.987, sensitivity was 95.2% and specificity was 98.6%. The area under the ROC curve was 0.945, sensitivity was 89.8%, specificity was 84.8%, and accuracy was 86.8%, showing the model predictive value. ConclusionThe risk prediction model of type Ⅱ diabetes patients with depressive disorder constructed in this study has good predictive and discriminating ability.
Objective To investigate the prevalence of anxiety and depression in patients with epilepsy (PWE) in West China, and to explore the related risk factors. Methods The Chinese version of Generalized Anxiety Disorder (GAD)-7 and Neurological Disorders Depression Inventory for Epilepsy (NDDI-E) scales were used to evaluate the anxiety and depression in 176 PWE patients between December 2016 and February 2017. Univariate analysis was used to screen the factors that may cause anxiety and depression in PWE, and then logistic regression analysis was performed on the possible risk factors. Results In the 176 PWE, about 27.3% had anxiety, and about 28.4% had depression. Multivariate logistic regression analysis showed that seizure occurrence in the recent six months [odds ratio (OR)=3.481, 95% confidence interval (CI) (1.292, 9.380),P=0.014], seizure occurring more than once in a month [OR=3.231, 95%CI (1.468, 7.111),P=0.004], and focal seizures with conscious disorders [OR=2.416, 95%CI (1.082, 5.397),P=0.031] were risk factors for anxiety in PWE. Unmarried status [OR=0.428, 95%CI (0.195, 0.940),P=0.035], seizure occurring more than once in a month [OR=2.685, 95%CI (1.206, 5.979),P=0.016], focal seizures with conscious disorders [OR=2.541, 95%CI (1.112, 5.808),P=0.027] and seizure occurrence in the last six months [OR=7.582, 95%CI (2.416, 23.794),P=0.001] were risk factors for depression in PWE. Conclusions Anxiety and depression are common comorbidities in PWE. For patients with risk factors, early identification and intervention should be performed.
ObjectiveTo construct a nomogram prediction model for pain crisis occurrence based on clinical data of patients with advanced non-small cell lung cancer (NSCLC), with the aim of providing a scientific basis for clinical decision-making.MethodsA total of patients with advanced non-small cell lung cancer (NSCLC) admitted to our hospital from January 2022 to January 2024 were selected as the study subjects. Demographic data, disease information, pain severity (assessed using the Numerical Rating Scale, NRS), psychological status (anxiety and depression assessed using the Self-Rating Anxiety Scale, SAS, and the Self-Rating Depression Scale, SDS), and social support (assessed using the Perceived Social Support Scale, PSSS) were collected. Univariate and multivariate Logistic regression analyses were performed to identify independent factors influencing pain crisis. The R software was used to visualize the nomogram, and the Receiver Operating Characteristic (ROC) curve, calibration curve, and Hosmer-Lemeshow test were employed to evaluate the discrimination and calibration of the model.ResultsA total of 500 questionnaires were distributed, and 448 qualified questionnaires were collected, with a qualification rate of 89.6%. The patients were divided into a modeling group (n=314) and a validation group (n=134). Univariate analysis showed significant differences between the pain crisis group and the pain-free group in terms of gender, age, education level, PSSS score, bone metastases, pleural metastases, depression and anxiety levels, and antitumor efficacy (P<0.05). Multivariate Logistic regression analysis showed that bone metastasis, PSSS score, age, depression, and anxiety levels were independent factors influencing pain crisis in patients with advanced NSCLC. Based on the results of the multivariate Logistic regression analysis, a nomogram prediction model for pain crisis occurrence in patients with advanced NSCLC was constructed. The Area Under the Curve (AUC) of the ROC curve in the modeling and validation groups was 0.948 and 0.921, respectively, indicating high discrimination of the model. The calibration curve and Hosmer-Lemeshow test results showed good consistency of the model.ConclusionThis study successfully constructed and validated a nomogram prediction model based on independent factors such as bone metastasis, social support (PSSS score), age, depression, and anxiety levels. This model can objectively and quantitatively predict the risk of pain crisis occurrence in patients with advanced NSCLC, providing a scientific basis for clinical decision-making. It helps identify high-risk patients with pain crisis in advance and optimize pain management strategies, thereby improving patient prognosis and quality of life.
ObjectiveTo explore the family function on patients with depression and its influential factors, in order to provide a basis for family support treatment for the patients. MethodsA total of 122 depressed patients from Mental Health Center of West China Hospital between February 2012 and June 2013, and one of their family members were chosen to be the study subjects. Another 122 non-clinical controls and one of their family members were recruited from a community near Sichuan University were regarded as the controls. All the subjects were asked to finish the Quality of Life Enjoyment and Satisfaction Questionnaire (Q-LES-Q), the Multidimensional Scale of Perceived Social Support (MSPSS), and the Family Assessment Device (FAD). Additionally, the patients received a diagnostic interview to provide the features of their depression. ResultsThe general average score of Q-LES-Q in families with depressed patients was significantly lower than that in the control families (t=-6.243, P<0.01). The general average score of each dimension in FAD for families with depressed patients was significantly higher than that for control families (t=3.644, 3.872, 2.694, 3.369, 5.369, 4.941, 5.241; P<0.01). According to FAD health division scoring, the unhealthy proportion in terms of communication, emotional reaction, emotional link, behavioral control and general function for families with depressed patients was significantly higher than that for control families (χ2=6.778, 23.698, 26.580, 39.875, 17.123, 10.712; P<0.05). The Q-LES-Q scores and the five FAD dimensional scores (except role and affective involvement) were negatively correlated (r=-0.388, -0.188, -0.200, -0.276, -0.370; P<0.05). The scores of perceived social support for families with depressed patients had significant positive correlations with the scores of all FAD dimensions except affective involvement (r=0.363, 0.345, 0.244, 0.418, 0.328, 0.457; P<0.05). The risk factors for unhealthy family function included: female (OR=1.141, P<0.05), poor education (OR=0.948, P<0.01), first-episode (OR=1.416, P<0.05), suicidal attempt (OR=1.014, P<0.05), incomplete suicide (OR=1.367, P<0.01) and depression episode number (OR=1.035, P<0.05). ConclusionDepression is associated with impaired family function in Chinese families. Female, poor education, first episode of depression, suicidal attempt, incomplete suicide and depression episode number are the influential factors for family function on patients with depression.
ObjectivesTo evaluate the efficacy and safety of newer-generation antidepressants for patients with myocardial infarction (MI) and depression.MethodsPubMed, The Cochrane Library, EMbase, Web of Science, CBM, CNKI, WanFang Data, and VIP databases were searched from inception to December 2017 to collect randomized controlled trials (RCT) on newer-generation antidepressants for patients with MI and depression. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of included studies. Then, meta-analysis was performed using RevMan 5.3 software.ResultsTen RCTs involving 552 participants were included. The results showed that the antidepressant group was superior to the placebo or treatment group in terms of the improvement of depressive symptoms (SMD=–1.38, 95%CI –1.93 to –0.82, P<0.000 01), and incidence of angina (RR=0.42, 95%CI 0.25 to 0.71,P=0.001), recurrent MI (RR=0.43, 95%CI 0.22 to 0.83, P=0.01), and re-hospitalization for cardiac reasons (RR=0.51, 95%CI 0.28 to 0.92, P=0.03). However, there were no significant differences between two groups on all-cause mortality (RR=0.45, 95%CI 0.18 to 1.11, P=0.08), cardiovascular mortality (RR=0.53, 95%CI 0.16 to 1.73, P=0.29) and incidence of heart failure (RR=0.75, 95%CI 0.39 to 1.43, P=0.38). Subgroup analysis revealed that the type of antidepressants could affect the improvement of depression outcome. Citalopram and fluoxetine might be the most effective drugs for patients with MI and depression.ConclusionsNewer-generation antidepressants are effective for treatment of depressive symptoms in patients with MI and depression, with no significant impact on all-cause mortality and cardiovascular mortality. Moreover, antidepressants can reduce the incidence of angina, recurrent MI, and re-hospitalization for cardiac reasons in patients suffering from MI and depression. Due to limited quantity and quality of included studies, more high quality studies are required to verify above conclusions.
Objective Depression is a common consequence after stroke and has become a significant issue in clinical practice and research. The aim of this study was to explore associated factors of post-stroke depression among first-ever stroke patients in Hong Kong. Methods A longitudinal study was conducted to collect data in face-to-face interviews and by physical assessment at two time points: T1, within 48 hours of admission to a rehabilitation hospital; and T2, 6 months after the first interview. T2 interviews and assessments were conducted in the participant’s current place of residence. Participants were first-ever stroke patients in Hong Kong. Post-stroke depression was measured using the Center of Epidemiological Study-Depression (CES-D) Scale. Backward linear regression analysis was performed to examine factors associated with level of post-stroke depression at T2. Results Our findings showed that 69% of participants exhibited clinically relevant levels of depressive symptoms at T1 and 48% at T2. Regression analysis revealed complex relationships between the level of depressive symptoms, demographic characteristics and variations in perceived levels of social support. Five variables were found to explain 55% of the variance in depressive symptoms at T2. The variables with significant standardized regression coefficients (β) were: companionship (P=0.001), informational support (P=0.025), baseline level of depressive symptoms (Plt;0.001), ADL dependence level (Plt;0.001) and being a homemaker before the stroke (P=0.039). Conclusions We have followed a group of stroke patients over a 6-month period. Our findings suggest that when screening for post-stroke depression, health professionals must take into consideration of the clinical, socio-personal characteristics that might increase a stroke patient’s vulnerability to develop depression after stroke.