Impact of depression on the quality of sleep and immune functions in patients with coronary artery disease

Virtual reality-based cognitive-behavioural therapy for the treatment of anxiety in patients with acute myocardial infarction: a randomised clinical trial

Background

The presence of mental health conditions is pervasive in patients who experienced acute myocardial infarction (AMI), significantly disrupting their recovery. Providing timely and easily accessible psychological interventions using virtual reality-based cognitive-behavioural therapy (VR-CBT) could potentially improve both acute and long-term symptoms affecting their mental health.

Aims

We aim to examine the effectiveness of VR-CBT on anxiety symptoms in patients with AMI who were admitted to the intensive care unit (ICU) during the acute stage of their illness.

Methods

In this single-blind randomised clinical trial, participants with anxiety symptoms who were admitted to the ICU due to AMI were continuously recruited from December 2022 to February 2023. Patients who were Han Chinese aged 18-75 years were randomly assigned (1:1) via block randomisation to either the VR-CBT group to receive VR-CBT in addition to standard mental health support, or the control group to receive standard mental health support only. VR-CBT consisted of four modules and was delivered at the bedside over a 1-week period. Assessments were done at baseline, immediately after treatment and at 3-month follow-up. The intention-to-treat analysis began in June 2023. The primary outcome measure was the changes in anxiety symptoms as assessed by the Hamilton Anxiety Rating Scale (HAM-A).

Results

Among 148 randomised participants, 70 were assigned to the VR-CBT group and 78 to the control group. The 1-week VR-CBT intervention plus standard mental health support significantly reduced the anxiety symptoms compared with standard mental health support alone in terms of HAM-A scores at both post intervention (Cohen's d=-1.27 (95% confidence interval (CI): -1.64 to -0.90, p<0.001) and 3-month follow-up (Cohen's d=-0.37 (95% CI: -0.72 to -0.01, p=0.024). Of the 70 participants who received VR-CBT, 62 (88.6%) completed the entire intervention. Cybersickness was the main reported adverse event (n=5).

Conclusions

Our results indicate that VR-CBT can significantly reduce post-AMI anxiety at the acute stage of the illness; the improvement was maintained at the 3-month follow-up.

Trial registration number

The trial was registered at www.chictr.org.cn with the identifier: ChiCTR2200066435.

Effectiveness of pharmacogenomics on the response and remission of treatment-resistant depression: a meta-analysis of randomised controlled trials

Background

Pharmacogenomics (PGx) is a promising tool to realise tailored drug therapy for depression.

Aims

To investigate the treatment efficacy of PGx for treatment-resistant depression (TRD) compared with treatment as usual.

Methods

A systematic search was conducted in PubMed, Embase, the Cochrane Library, Web of Science and PsycINFO to identify relevant studies published from inception to 15 April 2023. Two-arm randomised controlled trials (RCTs) exploring the efficacy of PGx-guided versus unguided treatment for TRD were included. The risk of bias in the included studies was evaluated using the Cochrane risk of bias assessment tool. The overall quality of evidence was assessed using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach.

Results

Seven RCTs (n=3003) comparing PGx-guided (n=1492) and unguided (n=1511) groups were identified and analysed. PGx-guided treatment was superior to treatment as usual in response (relative risk (RR)=1.31; 95% confidence interval (95% CI): 1.15 to 1.49; p<0.001) and remission (RR=1.40; 95% CI: 1.09 to 1.80; p=0.009) improvements. Effect sizes for acceptability (RR=0.90; 95% CI: 0.80 to 1.02; p=0.100) and side effect burden (RR=0.58; 95% CI: 0.29 to 1.15; p=0.120) between the two groups were not statistically different. The overall quality of evidence was rated from 'very low' (25%) to 'low' (75%) based on the GRADE criteria.

Conclusions

PGx-guided treatment has shown a small overall effect in improving the response and remission rates for patients with TRD. However, these results should be interpreted cautiously because of the few included studies and the low quality of evidence. Further high-quality clinical trials are warranted to confirm the findings.

PROSPERO registration number

CRD42022340182.

Mental stress, atheroma, myocardial ischaemia and injury: the link is inflammation

Increasing observational and experimental trial data have shown that mental stress can lead to an increase in adverse clinical cardiovascular events. Mental stress affects the heart by inducing ischaemia and precipitating myocardial infarction (MI) or direct myocardial injury. Mental stress leads to systemic inflammation. Inflammation is known to cause rapid atheromatous plaque progression, instability and thrombosis-the classic type 1 MI. Inflammation can also lead to type 2 MI or myocarditis and injury. The published data linking systemic inflammation, mental stress and cardiovascular disease will be reviewed to establish the linkage between mind and heart, thereby highlighting the importance of holistically managing the patient, not only addressing separate organ systems. Finally, recent trial evidence showing the value of anti-inflammatory drugs in cardiovascular and mental conditions will be briefly considered.

Electroencephalography microstates as novel functional biomarkers for insomnia disorder

Background

Insomnia disorder (ID) is one of the most common mental disorders. Research on ID focuses on exploring its mechanism of disease, novel treatments and treatment outcome prediction. An emerging technique in this field is the use of electroencephalography (EEG) microstates, which offer a new method of EEG feature extraction that incorporates information from both temporal and spatial dimensions.

Aims

To explore the electrophysiological mechanisms of repetitive transcranial magnetic stimulation (rTMS) for ID treatment and use baseline microstate metrics for the prediction of its efficacy.

Methods

This study included 60 patients with ID and 40 age-matched and gender-matched good sleep controls (GSC). Their resting-state EEG microstates were analysed, and the Pittsburgh Sleep Quality Index (PSQI) and polysomnography (PSG) were collected to assess sleep quality. The 60 patients with ID were equally divided into active and sham groups to receive rTMS for 20 days to test whether rTMS had a moderating effect on abnormal microstates in patients with ID. Furthermore, in an independent group of 90 patients with ID who received rTMS treatment, patients were divided into optimal and suboptimal groups based on their median PSQI reduction rate. Baseline EEG microstates were used to build a machine-learning predictive model for the effects of rTMS treatment.

Results

The class D microstate was less frequent and contribute in patients with ID, and these abnormalities were associated with sleep onset latency as measured by PSG. Additionally, the abnormalities were partially reversed to the levels observed in the GSC group following rTMS treatment. The baseline microstate characteristics could predict the therapeutic effect of ID after 20 days of rTMS, with an accuracy of 80.13%.

Conclusions

Our study highlights the value of EEG microstates as functional biomarkers of ID and provides a new perspective for studying the neurophysiological mechanisms of ID. In addition, we predicted the therapeutic effect of rTMS on ID based on the baseline microstates of patients with ID. This finding carries great practical significance for the selection of therapeutic options for patients with ID.

Exploring the relationship between vitamin D deficiency and comorbid heart disease in Americans with mood disorders: a cross-sectional nationwide study

Objective

This study aimed to explore the relationship between vitamin D deficiency and comorbid heart disease in adult inpatients with mood disorders (depressive and bipolar disorders).

Methods

A cross-sectional investigation was carried out employing the nationwide inpatient dataset, which encompassed 910,561 adult inpatients aged 18 to 50 years diagnosed with depressive and bipolar disorders. Additionally, the sample was categorized based on the presence of comorbid heart disease. We utilized a logistic regression model to assess the odds ratio (OR), pertaining to demographic features and coexisting medical conditions in relation to comorbid heart disease.

Results

Comorbid heart disease was present in 1.3% of inpatients with mood disorders; they were middle-aged (mean age 42.7 years) men and White individuals. Inpatients with depressive disorder had a higher risk of comorbid heart disease (OR 1.19, 95% CI 1.15-1.24) compared to those with bipolar disorders. Inpatients with comorbid heart disease had a higher prevalence of medical and psychiatric comorbidities. The prevalence of vitamin D deficiency was 2.3% in mood disorders but higher in those with comorbid heart disease (2.9%). Vitamin D deficiency showed a notable correlation with comorbid heart disease, resulting in a 26% increased risk in the unadjusted regression model (OR 1.26, 95% CI 1.13-1.40). However, after accounting for potential confounding factors, including comorbidities, the risk did not exhibit statistical significance (OR 1.08, 95% CI 0.97-1.21). Among psychiatric comorbidities, trauma-related (OR 1.22, 95% CI 1.17-1.28) and tobacco-related (OR 1.31, 95% CI 1.26-1.37) disorders had a higher risk of association with comorbid heart disease.

Conclusion

Middle-aged men with depressive disorders and from low-income families had a higher risk of developing comorbid heart disease. Trauma-related and tobacco-related disorders were associated with an increased risk by 20-30% for comorbid heart disease in inpatients with mood disorders. Vitamin D deficiency was not associated with the risk of comorbid heart disease after controlling demographics and comorbid cardiovascular risk factors.