Comorbid anxiety in late-life depression: Relationship with remission and suicidal ideation on venlafaxine treatment

Assessing the efficacy and safety of combined buspirone and venlafaxine treatment in late-life depression accompanied by cognitive impairment: A randomized controlled trial

BACKGROUND

Late-life depression, often accompanied by cognitive impairment, poses significant clinical challenges owing to its complex etiology and diverse manifestations. While antidepressants like venlafaxine and anxiolytics such as buspirone are effective for treating depression, their effects on cognitive function remain less well-understood. With the aging population increasingly experiencing geriatric depression, there is an urgent need for innovative treatment approaches that address both depressive symptoms and cognitive impairments.

OBJECTIVE

This study aimed to evaluate the clinical efficacy and safety of combined buspirone and venlafaxine therapy in elderly patients diagnosed with geriatric depression accompanied by cognitive impairment.

METHODS

A 12-week, randomized controlled trial was conducted involving 170 elderly patients. Participants were randomized into two groups: one receiving venlafaxine alone (control group) and the other receiving a combination of venlafaxine and buspirone (experimental group). The primary analysis was performed using an Intent-to-Treat (ITT) approach with mixed-effects linear models to assess changes in depressive symptoms, cognitive function, and anxiety levels. A supplementary Per-Protocol (PP) analysis, utilizing repeated measures ANOVA, was also conducted.

RESULTS

The ITT analysis showed that the combination therapy significantly reduced depressive symptoms, as indicated by the HAMD-17 scores (p = 0.033 at week 12). Cognitive function, as measured by MoCA scores, also improved significantly in the experimental group by week 12 (p = 0.025). However, no statistically significant differences were observed in anxiety reduction between the groups (p = 0.127). The PP analysis confirmed these findings, demonstrating consistent improvements in depressive symptoms and cognitive function, particularly in those who completed the full course of treatment. The incidence of adverse events was comparable between groups, primarily mild and manageable symptoms like dry mouth, dizziness, and fatigue.

CONCLUSION

The combination of buspirone and venlafaxine was found to be effective in reducing depressive symptoms and enhancing cognitive function in elderly patients with geriatric depression. However, the long-term benefits, especially regarding anxiety reduction, require further investigation. Future studies should consider larger sample sizes, longer follow-up periods, and the inclusion of placebo controls to fully assess the efficacy and safety of this treatment approach.

Personalized venlafaxine dose prediction using artificial intelligence technology: a retrospective analysis based on real-world data

BACKGROUND

Venlafaxine dose regimens vary considerably between individuals, requiring personalized dosing.

AIM

This study aimed to identify dose-related influencing factors of venlafaxine through real-world data analysis and to construct a personalized dose model using advanced artificial intelligence techniques.

METHOD

We conducted a retrospective study on patients with depression treated with venlafaxine. Significant variables were selected through a univariate analysis. Subsequently, the predictive performance of seven models (XGBoost, LightGBM, CatBoost, GBDT, ANN, TabNet, and DT) was compared. The algorithm that demonstrated optimal performance was chosen to establish the dose prediction model. Model validation used confusion matrices and ROC analysis. Additionally, a dose subgroup analysis was conducted.

RESULTS

A total of 298 patients were included. TabNet was selected to establish the venlafaxine dose prediction model, which exhibited the highest performance with an accuracy of 0.80. The analysis identified seven crucial variables correlated with venlafaxine daily dose, including blood venlafaxine concentration, total protein, lymphocytes, age, globulin, cholinesterase, and blood platelet count. The area under the curve (AUC) for predicting venlafaxine doses of 75 mg, 150 mg, and 225 mg were 0.90, 0.85, and 0.90, respectively.

CONCLUSION

We successfully developed a TabNet model to predict venlafaxine doses using real-world data. This model demonstrated substantial predictive accuracy, offering a personalized dosing regimen for venlafaxine. These findings provide valuable guidance for the clinical use of the drug.

Developing a machine learning model for predicting venlafaxine active moiety concentration: a retrospective study using real-world evidence

BACKGROUND

Venlafaxine is frequently prescribed for patients with depression. To control the concentration of venlafaxine within the therapeutic window for the best treatment effect, a model to predict venlafaxine concentration is necessary.

AIM

Our objective was to develop a prediction model for venlafaxine concentration using real-world evidence based on machine learning and deep learning techniques.

METHOD

Patients who underwent venlafaxine treatment between November 2019 and August 2022 were included in the study. Important variables affecting venlafaxine concentration were identified using a combination of univariate analysis, sequential forward selection, and machine learning techniques. Predictive performance of nine machine learning and deep learning algorithms were assessed, and the one with the optimal performance was selected for modeling. The final model was interpreted using SHapley Additive exPlanations.

RESULTS

A total of 330 eligible patients were included. Five influential variables that affect venlafaxine concentration were venlafaxine daily dose, sex, age, hyperlipidemia, and adenosine deaminase. The venlafaxine concentration prediction model was developed using the eXtreme Gradient Boosting algorithm (R2 = 0.65, mean absolute error = 77.92, root mean square error = 93.58). In the testing cohort, the accuracy of the predicted concentration within ± 30% of the actual concentration was 73.49%. In the subgroup analysis, the prediction accuracy was 69.39% within the recommended therapeutic range of venlafaxine concentration within ± 30% of the actual value.

CONCLUSION

The XGBoost model for predicting blood concentration of venlafaxine using real-world evidence was developed, guiding the adjustment of regimen in clinical practice.

Modulatory effects of aerobic training on the degree centrality of brain functional activity in subthreshold depression

BACKGROUND

Aerobic training has been shown to effectively prevent the progression of depressive symptoms from subthreshold depression (StD) to major depressive disorder (MDD), and understanding how aerobic training promotes changes in neuroplasticity is essential to comprehending its antidepressant effects. Few studies, however, have quantified the alterations in spontaneous brain activity before and after aerobic training for StD.

METHODS

Participants included 44 individuals with StD and 34 healthy controls (HCs). Both groups underwent moderate aerobic training for eight weeks, and resting state functional magnetic resonance imaging (rs-fMRI) data were collected before and after training. The degree centrality (DC) changes between the two groups and the DC changes in each group before and after training were quantified.

RESULTS

The rs-fMRI results showed that compared with the HCs, the DC values of the StD group in the orbital region of the left inferior frontal gyrus significantly depreciated at baseline. After aerobic training, the results of the follow-up examination revealed no significant difference in the DC values between the two groups. In addition, compared with baseline, the StD group exhibited an significant decrease in the DC values of the left dorsolateral superior frontal gyrus; while the HCs group exhibited an significant decrease in the DC values of the left thalamus. No statistically significant connection was seen between changes in DC values and psychological scale scores in the StD group.

CONCLUSIONS

Our findings suggest that regular aerobic training can enhance brain plasticity in StD. In addition, we demonstrated that DC is a relevant and accessible method for evaluating the functional plasticity of the brain induced by aerobic training in StD.

Indirect effect of impulsivity on suicide risk through self-esteem and depressive symptoms in a population with treatment-resistant depression: A FACE-DR study

INTRODUCTION

Suicide is a major health issue. Its prevalence is particularly high in subjects presenting major depression disorder (MDD), making this a key suicide-related risk factor. Suicide attempts in severe forms of MDD were assumed to be linked to impulsivity and loss of control. Nevertheless, we failed to find data specifically investigating the link between impulsivity and suicide risk in treatment-resistant depression (TRD). This study seeks to review this relationship.

METHOD

Patients were recruited for a prospective cohort. Suicide risk and impulsivity were assessed using the International Neuropsychiatric Interview and Barratt Impulsiveness Scale, Version 10, respectively, while the severity of depressive symptoms was assessed using the Montgomery-Asberg Depression Rating Scale, anxiety with the State-Trait Anxiety Inventory and childhood maltreatment using the Childhood Trauma Questionnaire.

RESULTS

220 TRD patients were enrolled in the study. The impulsivity score was correlated with self-esteem, marital status, professional status and anxiety. There was no direct link to suicide risk. However, impulsivity was associated with self-esteem (coefficient: -0.24; p value 0.043) and depressive symptom severity (coefficient: 0.; p value 0.045). The suicide risk was significantly correlated with depressive symptom severity (coefficient = 0.38, p < 0.001) and self-esteem (coefficient = -0.34, p = 0.01). Considering these correlations, we postulated that the effect of impulsivity on suicide risk could be mediated by self-esteem in terms of depressive symptom severity and we finally found a relevant mediation model within impulsivity having an indirect effect on suicide risk by impacting self-esteem and depressive symptoms with anxiety also playing a significant role as a covariable.

CONCLUSION

We found that impulsivity could play an indirect role with the involvement of self-esteem and depressive symptoms and the contributing role of anxiety.

Cytokine profile in first-episode drug-naïve major depressive disorder patients with or without anxiety

OBJECTIVE

It is known that cytokines play a role in both depression and anxiety. This study aimed to compare the levels of multiple cytokines in patients with first-episode drug-naive major depressive disorder (MDD) with or without anxiety and analyze the correlation between the level of depression or anxiety and the serum cytokine levels.

METHODS

The study involved 55 patients with first-episode drug-naive MDD. To assess anxiety symptoms, the 14-item HAMA was used. MDD patients were divided into two groups: 23 MDD patients without anxiety and 32 MDD patients with anxiety. The measurement of 37 cytokines was conducted. Serum cytokine levels between patients with MDD without anxiety and anxiety were compared. In multiple linear regression models, the relationship between the group and abnormal cytokines was explored. The receiver operating characteristic (ROC) curve analysis was performed to estimate diagnostic performance of serum cytokines in discriminating MDD patients with anxiety from MDD patients without anxiety. A correlation was evaluated between the scores of HAMD or HAMA and the serum cytokine levels.

RESULTS

In MDD patients with anxiety, IL-17 C and CCL17 levels were significantly lower than in MDD patients without anxiety (all P < 0.05). Multiple measurements were corrected with Benjamini-Hochberger corrections, but none of these differences persisted (all P > 0.05). The results of multiple linear regression models revealed that after controlling for other independent variables, group was not a significant independent predictor of serum IL-17 C or CCL17 (all P > 0.05). The AUC values of IL-17 C and CCL17 were 0.643 and 0.637, respectively, in discriminating MDD patients with anxiety from MDD patients without anxiety. The results of partial correlation analyses showed the scores of HAMD were negatively correlated with the IL-17 C (r = -0.314, P = 0.021) levels with sex as a covariate.

CONCLUSIONS

The findings suggest that there is a potential absence of disparity in the levels of circulating cytokines among individuals diagnosed with first-episode drug-naïve MDD, regardless of the presence or absence of comorbid anxiety.

Loneliness, Psychological Well-being, Depression, and Social Participation in the Older Persons: Rural and Urban Differences

INTRODUCTION

The purpose of this study is to compare the loneliness, psychological well- being, depression, and social participation of elderly people living in Turkish society between rural and urban areas. The sample group of the study, in which a correlational survey model was used, consisted of 610 elderly adults.

METHOD

The study population consists of two groups: the first group consists of individuals over 65 years of age living in the city (Istanbul) (n= 291), and the second group consists of individuals over 65 years of age living in rural areas (rural areas of Ordu) (n= 319). Socio-demographic Information Form, Loneliness in the Elderly Scale, Geriatric Depression Scale, Psychological Well-Being in the Elderly Scale, and Social Inclusion Scale were applied online. Statistical analyses of the study were conducted using SPSS 27.00, and the Independent Samples t-test and ANOVA test were used.

RESULTS

According to the findings of this study, statistically significant results were found in psychological well-being, social inclusion, social relations, loneliness and depression, and place of residence. It was observed that the social isolation and social acceptance levels of those living in urban areas were higher than those living in rural areas. Social, loneliness, and depression scores of those living in the village/town were found to be higher than those living in the city centre. Furthermore, the social relationship scores of those living in the village/town were found to be higher than those living in the city centre.

CONCLUSION

The increasing elderly population worldwide has become an issue that requires global measures. Place of residence is one of the factors thought to affect older people's health and well- being. It is thought that the study data will contribute to new policies that will ensure the protection and promotion of elderly health and those working in this field. In addition, the study, which provides information about Turkish culture, will also enable intercultural comparisons.

COVID-19 anxiety and related factors amid adjusted epidemic prevention policies: a cross-sectional study on patients with late-life depression in China

OBJECTIVES

To explore the prevalence and associated factors of COVID-19 anxiety in patients with late-life depression (LLD) during the adjustment of epidemic prevention policies in China.

DESIGN

Cross-sectional study.

SETTING

The data analysed in this study were collected from seven regions in China between November 2022 and January 2023.

PARTICIPANTS

A total of 1205 patients with LLD (aged 60-78 years) participated in the survey. They completed a social demographic assessment and the Chinese version of the five-point Coronavirus Anxiety Scale (CAS).

PRIMARY OUTCOME MEASURES

The primary outcome was the anxiety level of the participants. Patients were categorised into two groups based on their anxiety levels, one with anxiety and one without, according to CAS scores.

RESULTS

The prevalence of COVID-19 anxiety in depressed older adults was 47.3%. Regression analysis revealed that the average COVID-19 anxiety score was significantly higher among females (AOR: 2.177, 95% CI 1.201 to 3.947), widowed individuals (AOR: 3.015, 95% CI 1.379 to 6.591), patients residing at a distance from healthcare facilities (AOR: 3.765, 95% CI 1.906 to 7.438), and those who frequently experienced worry (AOR: 1.984, 95% CI 1.111 to 3.543). Conversely, the anxiety score was significantly lower among divorced individuals (AOR: 0.491, 95% CI 0.245 to 0.988), those aged 70 years and above (AOR: 0.117, 95% CI 0.064 to 0.213), patients without difficulty obtaining medication (AOR: 0.027, 95% CI 0.007 to 0.097), those living with family members (AOR: 0.080, 95% CI 0.022 to 0.282) or in nursing homes compared with those living alone (AOR: 0.019, 95% CI 0.004 to 0.087).

CONCLUSION

Women with LLD who are widowed, live far from healthcare facilities, and are prone to excessive worry are more likely to experience anxiety. It is advisable to implement appropriate preventive measures and provide psychosocial support programmes for this vulnerable group during the COVID-19 pandemic.

Comorbid Depressive and Anxiety Symptomatology in Older Adults: The Role of Aging Self-Stereotypes, Loneliness, and Feelings of Guilt Associated with Self-Perception as a Burden

The main objective of this study was to analyze the differences between older adults' symptom profiles (subclinical, anxiety, depressive, and comorbid) in negative aging self-stereotypes, loneliness, and feelings of guilt associated with self-perception as a burden. Participants were 310 community-dwelling people aged 60 years and over. The sample was grouped into four symptom profiles of older adults: anxiety, depressive, comorbid anxiety-depression, and subclinical symptoms. We carried out multinomial logistic regression analyses to analyze the role of assessed variables in the explanation of the four symptom profiles. Older adults who reported a comorbid symptomatology presented higher negative aging self-stereotypes and feelings of loneliness than the other three profiles. Compared with the subclinical profile, older adults who reported clinical symptomatology (anxiety, depressive, and comorbid profile) presented higher feelings of guilt associated with self-perception as a burden. The findings of this study suggest potential associations that may contribute to understanding and treating comorbid anxiety and depressive symptoms in older adults.

Gender differences in the association between anxiety symptoms and thyroid hormones in young patients with first-episode and drug naïve major depressive disorder

Objective

Gender differences are prevalent in major depressive disorder (MDD), but the gender differences in the relationship between comorbid anxiety and thyroid hormones in young first-episode and drug-naive (FEND) MDD patients are unknown.

Methods

A total of 1,289 young outpatients with FEDN MDD were recruited. Demographic and clinical data were collected for each patient. The patient's blood glucose, blood pressure, thyroid hormone, and thyroid antibody levels were measured. The Hamilton depression scale (HAMD), Hamilton anxiety scale (HAMA), and Positive and Negative Syndrome Scale (PANSS) were used to assess patients' depression, anxiety, and positive symptoms, respectively.

Results

The prevalence of comorbid anxiety disorders was 80.4 and 79.4% in male and female MDD patients, respectively. Patients with anxiety had higher HAMD and PANSS scores, higher serum thyroid stimulating hormone (TSH), anti-thyroglobulin antibody (A-TG), and thyroid peroxidase antibody (A-TPO) levels, higher blood glucose and blood pressure levels, and more patients with psychotic symptoms and suicide attempts. Male patients were younger and had a younger age of onset. Logistic regression analysis showed that HAMD score and comorbid suicide attempts were significant predictors of anxiety symptoms in both males and females, whereas A-TG predicted anxiety symptoms in female patients only. Limitations: No causal relationship could be drawn due to the cross-sectional design.

Conclusion

This study showed gender differences in factors associated with anxiety symptoms in patients with MDD. Some factors were associated with anxiety symptoms in both male and female patients, while A-TG was only associated with anxiety symptoms in female patients.

'I feel old and have aging stereotypes'. Internalized aging stereotypes and older adults' mental health: the mediational role of loneliness

OBJECTIVES

The main objective of this study was to analyze the role of aging stereotype activation (when older adults with aging stereotypes begin to consider themselves as older persons) in the relationship between ageist stereotypes, depressive, anxiety, loneliness, and comorbid anxiety-depressive symptoms.

METHODS

Participants were 182 autonomous community-dwelling people between 60 and 88 (mean age = 72.30; SD = 5.53). Three path models were tested exploring the role of considering oneself as an older person as a moderator variable. Ageist stereotypes were included as the independent variable, loneliness as the mediating variable, and anxiety symptoms, depressive symptoms, and comorbid anxiety-depressive symptoms as dependent variables for each model.

RESULTS

The results suggest an influence of ageist stereotypes on anxiety, depressive, and comorbid anxiety-depressive symptoms only in older adults who consider themselves as older persons, and mediated by loneliness.

CONCLUSION

This study suggests that, when someone considers him or herself as an older person, ageist stereotypes activate loneliness feelings, and this activation is associated with psychological distress, including anxiety, depressive, and comorbid anxiety-depressive symptoms.

Treatment-Resistant Late-Life Depression: A Review of Clinical Features, Neuropsychology, Neurobiology, and Treatment

Major depression is common in older adults (≥ 60 years of age), termed late-life depression (LLD). Up to 30% of these patients will have treatment-resistant late-life depression (TRLLD), defined as depression that persists despite two adequate antidepressant trials. TRLLD is challenging for clinicians, given several etiological factors (eg, neurocognitive conditions, medical comorbidities, anxiety, and sleep disruption). Proper assessment and management is critical, as individuals with TRLLD often present in medical settings and suffer from cognitive decline and other marks of accelerated aging. This article serves as an evidence-based guide for medical practitioners who encounter TRLLD in their practice.

Abnormal white matter integrity in Papez circuit in first-episode medication-naive adults with anxious depression: A combined voxel-based analysis and region of interest study

BACKGROUND

Anxious depression is one of the subtypes of major depressive disorder (MDD), usually defined as "patients with MDD and high levels of anxiety symptoms". Compared to non-anxious MDD (naMDD), patients with anxious MDD (aMDD) have more severe depressive symptoms and suicidal ideation, worse treatment outcomes and remission rates, and poorer prognosis. Current research suggests that the Papez circuit is an important brain structure closely related to emotion, memory, and cognition. This study applied DTI to explore the altered white matter integrity in Papez circuit of patients with aMDD.

METHODS

DTI data were acquired from 30 medication-naive outpatients with naMDD and 55 with aMDD and 88 demographically similar healthy control (HC) subjects. Voxel-based analysis (VBM) and region of interest (ROI) analysis were conducted to explore the significant difference of fractional anisotropy (FA) values among 3 groups. Pearson's correlations were performed to analyze the correlation between FA values and the score of HAMA-14 and HAMD-17.

RESULTS

We found that aMDD patients had significantly higher FA values in left fornix (belong to Papez circuit) and left posterior thalamic radiation and right anterior corona radiata (belong to limbic-thalamo-cortical circuitry) compared with HC. And there was variability in the white matter integrity in right posterior thalamic radiation (belong to limbic-thalamo-cortical circuitry) and left fornix (belong to Papez circuit) between aMDD and naMDD patients.

LIMITATIONS

The cross-sectional study and the population vary between aMDD group and naMDD group are limitations.

CONCLUSIONS

Abnormal white matter integrity in Papez circuit and Limbic-Thalamo-Cortical circuitry may play an important role in the neuropathology of aMDD and might help to identify aMDD.

Multidimensional evaluation of healthy life expectancy indicators based on mental health among the rural older population: A large-scale cross-sectional study

BACKGROUND

This study aimed to estimate healthy life expectancy (HLE) regarding anxiety, depression and their comorbidity among rural older adults.

METHODS

A total of 12,851 subjects (5790 men and 7061 women) enrolled from the Henan Rural Cohort Study were used to evaluate healthy status expectancy (HSE), and 10,096 (4475 men and 5621 women) of them were used to estimate health-adjusted life expectancy (HALE). The life expectancy was calculated using period life table, and HSE and HALE indicators were calculated via the Sullivan method.

RESULTS

For participants aged 60, the depression-free life expectancy (DFLE), anxiety-free life expectancy (AFLE), and depression- and anxiety-free life expectancy (DAFLE) were 23.0993, 23.3314, and 22.7206 years, respectively. The quality-adjusted life expectancy (QALE) of those with neither anxiety nor depression, with anxiety, with depression, and with comorbidity was 22.0727, 20.8751, 18.1484, and 17.0823 years, respectively. The ratio of DFLE (AFLE) to LE increased with age among both genders, while the DAFLE/LE showed a decreasing trend. Regardless of HSE or HALE indicators, women tended to have higher HLE, while HLE/LE was lower than men. Furthermore, all HLE indicators associated with anxiety were the largest in both genders compared to indicators regarding depression.

LIMITATIONS

The HLE may be overestimated ignoring institutional population in the study.

CONCLUSION

Anxiety and depression played essential roles in the quality of life among rural older adults, especially depression. Comorbidity would intensify the adverse effect in rural areas, especially for older men. More attention should be paid to the psychological problems among rural older population.

Self-compassion predicted joint trajectories of depression and anxiety symptoms during the COVID-19 pandemic: A five-wave longitudinal study on Chinese college students

OBJECTIVE

The long-term protective effect of self-compassion on mental health remained unclear in the pandemic context. This study aimed to investigate the trajectories of depression and anxiety symptoms and the role of self-compassion during the pandemic.

METHODS

In this one-year five-wave longitudinal study (retested every three months from February 2020 to February 2021), 494 Chinese college students completed the study through online questionnaires and provided information on depression and anxiety symptoms, self-compassion, and sociodemographic variables. Independent and joint trajectories of depression and anxiety symptoms were explored by growth mixture models. Predictive effects of self-compassion on trajectories were examined by logistic regression models.

RESULTS

Four and three heterogeneous latent trajectories were identified for depression and anxiety symptoms, respectively. Three distinct joint trajectories of depression and anxiety were determined: low symptoms group (54.0 %), mild symptoms group (34.4 %), and risk group (11.5 %). Participants with higher levels of self-compassion were more likely to follow the low symptoms trajectory of depression and anxiety symptoms (all p < 0.001).

CONCLUSIONS

Group heterogeneity existed in the trajectories of depression and anxiety symptoms. Improving the levels of self-compassion would help to prevent and alleviate depression and anxiety symptoms. Programs based on self-compassion are encouraged to cope with the mental health challenges in the pandemic context.

The associations among the stress symptoms, depressive symptoms, anxiety symptoms and insomnia symptoms in depressed patients after the first COVID-19 outbreak was initially controlled in China: A prospective cohort study

BACKGROUND

Depressed patients suffered from severe psychological distress even after the first COVID-19 outbreak was initially controlled. The longitudinal changes and associations among stress and other psychological problems during this period remained unknown. In this study we investigated stress symptoms and the longitudinal impact of stress symptoms on other psychological symptoms in depressed patients after the first COVID-19 outbreak was initially controlled.

METHODS

A total of 5241 depressed patients at the outpatients of 56 hospitals across mainland China were recruited from May 18 to June 18, 2020. Five months later, 2113 of them responded again. Demographic characteristics were collected and psychological symptoms were evaluated at baseline and the follow-up. The longitudinal associations between stress symptoms at baseline and the changes of other psychological problems were assessed using Poisson regression.

RESULTS

The prevalence of stress symptoms, depressive symptoms, anxiety symptoms and insomnia symptoms declined over time. Having stress symptoms at baseline was positively associated with the new occurrences of depressive symptoms, anxiety symptoms and insomnia symptoms (range, adjusted RRs 1.69-1.81).

LIMITATIONS

The sampling method and the high dropout rate are the major limitations. Additionally, the mental conditions of the participants were not obtained, which may lead to unavoidable bias.

CONCLUSIONS

The prevalence of stress symptoms declined over time after the first COVID-19 outbreak was initially controlled. We found that having stress symptoms at baseline was a predictor for the new occurrences of depressive symptoms, anxiety symptoms and insomnia symptoms.

Depression/anxiety symptoms and self-reported difficulty managing medication regimen among community-dwelling older adults

OBJECTIVE

To examine the associations between depression/anxiety severity and changes in severity and self-reported difficulty managing medications among a representative sample of community-residing US Medicare beneficiaries without a reported dementia diagnosis.

METHOD

We used the 2018 and 2019 National Health and Aging Trend Study (analysis sample N = 3198, 98% age 70+). Depression/anxiety was measured with the PHQ-4, and difficulty managing medication was self-reported. Following descriptive statistics, we fit a multinomial logistic regression model to examine the associations between depression/anxiety symptoms in 2018 and changes in severity between 2018 and 2019 and self-reported level of difficulty managing medication in 2019.

RESULTS

Of past-month prescription medication users in 2019, 85.2%, 10.7%, and 4.1% reported no difficulty, a little/some difficulty, and a lot of difficulty or partial/full reliance on other's help for health/functioning reasons, respectively. Both mild and moderate/severe levels of depression/anxiety in 2018 were associated with significantly higher risks of a little/some difficulty and a lot of difficulty/other's help in 2019. Compared to no change in depression/anxiety symptoms between 2018 and 2019, decreased symptoms were associated with lower risk (RRR = 0.47, 95% CI = 0.28-0.78) and increased symptoms were associated with higher risk (RRR = 1.73, 95% CI = 1.12-2.67) of a little/some difficulty managing one's medication.

CONCLUSIONS

Decrease and increase in depression/anxiety are associated with decreased and increased risk, respectively, of medication self-management difficulty among community-residing older adults. Healthcare providers should more carefully assess for medication management problems in their older adults with depression and anxiety symptoms and provide individually tailored interventions for those with great difficulty self-managing medication.

Association between the volume of subregions of the amygdala and major depression with suicidal thoughts and anxiety in a Chinese cohort

BACKGROUND

Major depression is the largest single contributor to suicide, and anxiety symptoms are associated with the severity of depression and suicidality. It is important to explore biomarkers of anxiety and suicidal ideation in major depression. In this study we hypothesized that the volume of subregions of the amygdala might be indicators of anxiety and suicidal ideation in patients with major depression.

METHODS

We recruited 59 drug-naïve patients with first-episode depression who scored >17 on the Hamilton Rating Scale for depression, and 30 healthy controls to participate in a magnetic resonance imaging study. We examined the volume of sub-regions of the amygdala thought to be involved in processing anxious emotion in the depression and healthy control groups. We performed pair-wise comparisons of amygdala subfield volumes in patients with depression and healthy controls with an analysis of variance. We used logistic regression to test the relationship between suicidal ideation and anxious character with the volume of subregions of the amygdala.

RESULTS

1) We found a significant difference in the volumes of the left amygdala (P = 0.003) and right amygdala (P = 0.001) between the two groups. There are significant differences in the volumes of the sub-region of the left amygdala. 2) The volume of the left lateral nucleus (P<0.001), basal nucleus (P<0.001), accessory basal nucleus (P<0.05), left Paralaminar-nucleus (P<0.001), right lateral-nucleus (P<0.05), right basal-nucleus (P<0.05), right anterior-amygdaloid area AAA (P<0.05), right paralaminar-nucleus (P<0.001) in the depression group are larger than healthy controls, however the volumes of the central-nucleus (P<0.05), medial-nucleus (P<0.001) in both sides are decreased in the major depression group. 3) There is a significantly larger volume of right medial nucleus in the suicidal ideation group comparing the hopelessness (P = 0.026), and the depressive patients without hopeless thoughts (P = 0.004). 4) We found a negative relation between the left basal nucleus and anxiety (OR: 0.940, 95%CI: 0.891-0.991), and a positive relation between the accessory basal nucleus on the left side and anxiety (OR: 1.007, 95%CI: 1.002-1.158).

LIMITATIONS

We were not able to examine the effects of gender or age. The changes of amygdala volume in patients with depression were not followed up. Our sample size was such that independent replication is needed to confirm the robustness of our results.

CONCLUSIONS

The volumes of the basal nucleus in both sides are increased in depressed patients while the volumes of the central-nucleus, medial-nucleus bilaterally are reduced in the major depression group. Among the subregions, the volume of right medial nucleus might be the biomarkers for suicidal ideation in depressive patients.

A fast online questionnaire for screening mental illness symptoms during the COVID-19 pandemic

The COVID-19 pandemic has caused massive effects on the situation of public mental health. A fast online questionnaire for screening and evaluating mental symptoms is urgent. In this work, we developed a new 19-item self-assessment Fast Screen Questionnaire for Mental Illness Symptoms (FSQ-MIS) to quickly identify mental illness symptoms. The FSQ-MIS was validated on a total of 3828 young adult mental disorder patients and 984 healthy controls. We applied principal component analysis (PCA), receiver operating characteristic (ROC) curve, and general log-linear analysis (GLA) to evaluate the construct and parallel validity. Results demonstrate that the proposed FSQ-MIS shows high test-retest reliability (0.852) and split-half reliability (0.844). Six factors obtained using PCA explained 54.3% of the variance and showed high correlations with other widely used scales. The ROC results (0.716-0.983) revealed high criterion validity of FSQ-MIS. GLA demonstrated the advantage of FSQ-MIS in predicting anxiety and depression prevalence in COVID-19, supporting the efficiency of FSQ-MIS as a tool for research and clinical practice.

Effects of insomnia and levels of depression and anxiety symptoms on quality of life in people with epilepsy

OBJECTIVES

The association between insomnia and quality of life (QOL) in epilepsy is poorly understood and may involve interactive variables. We aimed to investigate whether and how insomnia, levels of depression and anxiety symptoms interact to influence QOL in people with epilepsy (PWE).

METHODS

A consecutive cohort of 179 PWE was enrolled. We collected data on insomnia, levels of depression and anxiety symptoms, and QOL. The Insomnia Severity Index (ISI), Depression Inventory for Epilepsy (NDDI-E), Generalized Anxiety Disorder-7 (GAD-7), and QOL in Epilepsy Inventory (QOLIE-31) were used. The direct, indirect, and total effects of insomnia on QOL were estimated based on a moderated mediation model.

RESULTS

Depression symptom levels mediated the association between insomnia and QOL (B = 0.09 SE = 0.03, p = 0.01). Depression symptom levels accounted for 34.7% of the total effect of insomnia on QOL. The mediating effect of depression symptom levels was positively moderated by anxiety symptom levels (B = 0.09, SE = 0.03, p = 0.01).

CONCLUSION

The effect of insomnia on QOL can be partially explained by the mediation of depression symptom levels. Additionally, improving anxiety symptoms may attenuate the indirect effect of insomnia on QOL through depression symptom levels.

Multiscale neural signatures of major depressive, anxiety, and stress-related disorders

The extent of shared and distinct neural mechanisms underlying major depressive disorder (MDD), anxiety, and stress-related disorders is still unclear. We compared the neural signatures of these disorders in 5,405 UK Biobank patients and 21,727 healthy controls. We found the greatest case–control differences in resting-state functional connectivity and cortical thickness in MDD, followed by anxiety and stress-related disorders. Neural signatures for MDD and anxiety disorders were highly concordant, whereas stress-related disorders showed a distinct pattern. Controlling for cross-disorder genetic risk somewhat decreased the similarity between functional neural signatures of stress-related disorders and both MDD and anxiety disorders. Among cases and healthy controls, reduced within-network and increased between-network frontoparietal and default mode connectivity were associated with poorer cognitive performance (processing speed, attention, associative learning, and fluid intelligence). These results provide evidence for distinct neural circuit function impairments in MDD and anxiety disorders compared to stress disorders, yet cognitive impairment appears unrelated to diagnosis and varies with circuit function.

The network of psychosocial health in middle-aged and older adults during the first COVID-19 lockdown

PURPOSE

Psychosocial health problems, such as social isolation, loneliness, depression and anxiety, have gained attention during the COVID-19 pandemic and are commonly co-occurring. We investigated the network of psychosocial health constructs during the COVID-19 pandemic.

METHODS

This study included 4553 participants (mean age: 68.6 ± 11.2 years, 56% women) from the prospective Rotterdam Study, who filled out a questionnaire between April and July 2020, the time of the first COVID-19 wave in the Netherlands. Psychosocial health constructs included were depressive symptoms (Center for Epidemiological Studies Depression scale), anxiety symptoms (Hospital Anxiety and Depression scale), loneliness (University of California, Los Angeles loneliness scale), social connectedness (five items) and pandemic-related worry (five items). We estimated mixed graphical models to assess the network of items of these constructs and whether age and sex affected the network structure.

RESULTS

Within the network of psychosocial constructs, a higher depressive symptoms score was particularly associated with items of loneliness and social connectedness, whereas overall anxiety was particularly associated with items of pandemic-related worry. Between people from different sex and age, the network structure significantly altered.

CONCLUSION

This study demonstrates that within the same network of psychosocial health constructs, depressive symptom score is particularly associated with loneliness and social connectedness, whereas anxiety symptom score is associated with pandemic-related worry during the first COVID-19 lockdown. Our results support that psychosocial constructs should be considered in conjunction with one another in prevention and treatment efforts in clinical care, and that these efforts need to be tailored to specific demographic groups.

Trait Anxiety Mediates Impulsivity and Suicidal Ideation in Depression During COVID-19 Pandemic

Suicidality in patients with major depressive disorder (MDD) has been an urgent affair during the COVID-19 pandemic. It is well-established that impulsivity and trait anxiety are two risk factors for suicidal ideation. However, literature is still insufficient on the relationships among impulsivity, (state/trait) anxiety and suicidal ideation in individuals with MDD. The present study aims to explore the relationships of these three variables in MDD patients during the COVID-19 pandemic through three scales, including Barrett Impulsivity Scale (BIS), State-Trait Anxiety Scale (STAI) and Self-rating Idea of Suicide Scale (SIOSS). Sixty-three MDD patients (low SIOSS group and high SIOSS group, which were split by the mean score of SIOSS) and twenty-seven well-matched healthy controls were analyzed. Our results showed that the high SIOSS group had higher trait anxiety (p < 0.001, 95% CI = [-19.29, -5.02]) but there was no difference in state anxiety (p = 0.171, 95% CI = [-10.60, 1.25]), compared with the low SIOSS group. And the correlation between impulsivity and suicidal ideation was significant in MDD patients (r = 0.389, p = 0.002), yet it was not significant in healthy controls (r = 0.285, p = 0.167). Further, mediation analysis showed that trait anxiety significantly mediate impulsivity and suicidal ideation in patients with depression (total effect: β = 0.304, p = 0.002, 95% CI = [0.120, 0.489]; direct effect: β = 0.154, p = 0.076, 95% CI = [-0.169, 0.325]), indicating impulsivity influenced suicidal ideation through trait anxiety in MDD patients. In conclusion, our results suggested that trait anxiety might mediate the association of impulsivity and suicidal ideation in MDD patients. Clinicians may use symptoms of trait anxiety and impulsivity for screening when actively evaluating suicidal ideation in MDD patients, especially in the setting of COVID-19 pandemic.

The efficacy of a transdiagnostic group cognitive behavioral intervention for Chinese elderly with emotional disorders: A one-year follow-up randomized clinical trial

BACKGROUND

With the global aging, geriatric emotional disorders have received more and more attention. Psychotherapy is an effective approach for alleviating the symptoms associated with emotional disorder, but the number of experienced therapists is low. Studies should be conducted to explore a low-cost and efficient treatment method. Previous findings indicate that transdiagnostic cognitive behavior therapy is an effective approach for treatment of emotional disorders. Group therapy is appropriate for the elderly as they are characterized by high levels of loneliness. In this study, we compared and explored the effects of a transdiagnostic group cognitive behavioral intervention (TD-GCBT), a transdiagnostic individual cognitive behavioral intervention (TD-CBT), and treatment as usual (TAU) on treatment of emotional disorders among the elderly.

METHOD

A total of 120 elderly patients diagnosed with emotional disorders were randomly assigned to the TD-GCBT group (40), TD-CBT group (40), and TAU group (40). Changes in symptoms were assessed using HAMD, PHQ-9, HAMA, and GAD-7 scales at baseline, post-treatment (three months), six-month and twelve-months follow-up. The efficacies of the three intervention strategies were compared using linear mixed-effects models. Post-hoc and simple effect analyses were conducted to determine the differences among the three groups.

RESULTS

The HAMD, PHQ-9, HAMA, and GAD-7 scores revealed a significant effect from baseline to 12 months for time (p < 0.001), group (p < 0.001) and time × group interaction (p < 0.001) in TD-GCBT group compared with the TD-CBT group and TAU group. The effect of TD-GCBT (HAMD: Cohen's d (3th month, 6th month, 12th month) = 2.69, 3.98, 4.51; HAMA: Cohen's d = 2.84, 4.13, 5.20) and TD-CBT (HAMD: Cohen's d = 2.55, 2.87, 2.63; HAMA: Cohen's d = 2.43, 2.83, 2.78) group was better relative to that of the TAU group (HAMD: Cohen's d = 0.41, 1.13, 1.46; HAMA: Cohen's d = 0.64, 1.22, 1.57) (p < 0.001). The scores of the TD-GCBT group showed the most significant decrease compared with the other two groups.

CONCLUSION

The findings indicate that TD-GCBT method is effective for treatment of emotional disorders among the elderly. TD-GCBT is effective for alleviating depression and anxiety symptoms up to at least nine months after treatment. The results indicate that TD-GCBT is a cost-effective and resource-effective strategy and can be used an alternative therapy for treatment of mental disorders.

CLINICAL TRIAL REGISTRATION

[https://www.chictr.org.cn], identifier [ChiCTR1900021806].

Exploring Molecular Approaches in Amyotrophic Lateral Sclerosis: Drug Targets from Clinical and Pre-Clinical Findings

Amyotrophic lateral sclerosis (ALS) is a fatal motor neuron disease (MND) characterized by the death of upper and lower motor neurons (corticospinal tract) in the motor cortex, basal ganglia, brain stem, and spinal cord. The patient experiences the sign and symptoms between 55 to 75 years of age, which include impaired motor movement, difficulty in speaking and swallowing, grip loss, muscle atrophy, spasticity, and sometimes associated with memory and cognitive impairments. Median survival is 3 to 5 years after diagnosis and 5 to 10% of the patients live for more than 10 years. The limited intervention of pharmacologically active compounds, that are used clinically, is majorly associated with the narrow therapeutic index. Pre-clinically established experimental models, where neurotoxin methyl mercury mimics the ALS like behavioural and neurochemical alterations in rodents associated with neuronal mitochondrial dysfunctions and downregulation of adenyl cyclase mediated cAMP/CREB, is the main pathological hallmark for the progression of ALS in central as well in the peripheral nervous system. Despite the considerable investigation into neuroprotection, it still constrains treatment choices to strong care and organization of ALS complications. Therefore, this current review specially targeted the investigation of clinical and pre-clinical features available for ALS to understand the pathogenic mechanisms and to explore the pharmacological interventions associated with the up-regulation of intracellular adenyl cyclase/cAMP/ CREB and activation of mitochondrial-ETC coenzyme-Q10 as a future drug target in the amelioration of ALS mediated motor neuronal dysfunctions.

The Effects of Repetitive Transcranial Magnetic Stimulation on Anxiety in Patients With Moderate to Severe Traumatic Brain Injury: A Post-hoc Analysis of a Randomized Clinical Trial

Background: Traumatic brain injury (TBI) is one of the leading causes of neuropsychiatric disorders in young adults. Repetitive Transcranial Magnetic Stimulation (rTMS) has been shown to improve psychiatric symptoms in other neurologic disorders, such as focal epilepsy, Parkinson's disease, and fibromyalgia. However, the efficacy of rTMS as a treatment for anxiety in persons with TBI has never been investigated. This exploratory post-hoc analyzes the effects of rTMS on anxiety, depression and executive function in participants with moderate to severe chronic TBI. Methods: Thirty-six participants with moderate to severe TBI and anxiety symptoms were randomly assigned to an active or sham rTMS condition in a 1:1 ratio. A 10-session protocol was used with 10-Hz rTMS stimulation over the left dorsolateral prefrontal cortex (DLPFC) for 20 min each session, a total of 2,000 pulses were applied at each daily session (40 stimuli/train, 50 trains). Anxiety symptoms; depression and executive function were analyzed at baseline, after the last rTMS session, and 90 days post intervention. Results: Twenty-seven participants completed the entire protocol and were included in the post-hoc analysis. Statistical analysis showed no interaction of group and time (p > 0.05) on anxiety scores. Both groups improved depressive and executive functions over time, without time and group interaction (p _s < 0.05). No adverse effects were reported in either intervention group. Conclusion: rTMS did not improve anxiety symptoms following high frequency rTMS in persons with moderate to severe TBI. Clinical Trial Registration: www.ClinicalTrials.gov, identifier: NCT02167971.

Regional White Matter Integrity Predicts Treatment Response to Escitalopram and Memantine in Geriatric Depression: A Pilot Study

Background: Geriatric depression with subjective memory complaints increases the risk for Alzheimer's Disease. Memantine, a neuroprotective drug, can improve depression and help prevent cognitive decline. In our 6-months clinical trial, escitalopram/memantine (ESC/MEM) improved mood and cognition compared to escitalopram/placebo treatment (ESC/PBO; NCT01902004). In this report, we investigated whether baseline brain white matter integrity in fronto-limbic-striatal tracts can predict clinical outcomes using fractional anisotropy (FA). Methods: Thirty-eight older depressed adults (mean age = 70.6, SD = 7.2) were randomized to ESC/MEM or ESC/PBO and underwent diffusion-weighted imaging (DWI) at 3 Tesla at baseline. Mood was assessed using the Hamilton Depression Rating Scale (HAMD), apathy using the Apathy Evaluation Scale (AES) and anxiety using the Hamilton Anxiety Scale (HAMA) at baseline and 6-months follow-up. FA was extracted from seven tracts of interest (six in each hemisphere and one commissural tract) associated with geriatric depression. Non-parametric General Linear Models were used to examine group differences in the association between FA and symptom improvement, controlling for age, sex, baseline symptom scores and scanner model, correcting for false discovery rate (FDR). Post-hoc tests further investigated group differences in axial, mean and radial diffusivity (AD, MD, and RD, respectively). Lastly, we performed an exploratory whole-brain model to test whether FA might be related to treatment response with memantine. Results: There were no differences in remission rates or HAMD change between groups. In bilateral anterior and posterior internal capsule tracts and bilateral inferior and right superior fronto-occipital (IFO and SFO) fasciculus, higher FA was associated with larger improvements in depressive symptoms for ESC/MEM, but not ESC/PBO, correcting for FDR. Lower MD in the left IFO and RD in the right anterior internal capsule were associated with improved treatment responses. We found no significant associations in the whole-brain analysis. Limitations: Included small sample size and high dropout. Conclusions: Higher baseline FA and lower RD and MD in hypothesized fronto-limbic-striatal tracts predicted greater improvement in mood and anxiety with ESC/MEM compared to ESC/PBO in geriatric depression. FA as a biomarker for white matter integrity may serve as a predictor of treatment response but requires confirmation in larger future studies.

Disruption of the structural and functional connectivity of the frontoparietal network underlies symptomatic anxiety in late-life depression

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LLD patients present lower functional connectivity in the right FPN.

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LLD patients present impaired white matter integrity in tracts to the right FPN.

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FPN alterations were negatively correlated with anxiety severity in LLD patients.

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The right IFG might be a crucial hub underlying the neuropathology of LLD.

The present study investigated functional connectivity and white matter integrity of the fronto-parietal network (FPN) to reveal the neural mechanisms that underlie late-life depression (LLD). Fifty patients with LLD and 40 non-depressed controls were included in the study. A multi-parametric approach was used by applying independent component analysis (ICA) to estimate functional connectivity of the FPN and by applying tract­based spatial statistics to examine white-matter integrity in tracts to the FPN. Patients with LLD exhibited functional abnormalities in the right inferior frontal gyrus, middle frontal gyrus, and inferior parietal gyrus and lower white matter fractional anisotropy in the right inferior fronto-occipital fasciculus, anterior thalamic radiation, and uncinate fasciculus. Alterations of functional connectivity and white matter fractional anisotropy in these regions were negatively correlated with the severity of symptomatic anxiety in LLD patients. The right inferior frontal gyrus might be a crucial hub in transferring information between these abnormal regions. Significant correlations were found between anxiety symptoms and brain alterations, suggesting that impairments in the FPN network might be involved in symptomatic anxiety in elderly individuals with depression.