ABSTRACT
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.
ABSTRACT
Objective:To analyze the compatibility rules of prescriptions containing Forsythiae Fructus based on data mining and explore the anti-inflammatory mechanism of Forsythiae Fructus based on network pharmacology，so as to provide reference for the rational clinical application of Forsythiae Fructus and the development of health foods and new Chinese medicines. Method:The prescriptions containing Forsythiae Fructus in the<italic> Dictionary of Traditional Chinese Medicine Prescriptions</italic> were collected，based on which a clinical prescription database was constructed. The Chinese herbs combined with Forsythiae Fructus and the corresponding indications were subjected to frequency statistics，association rule analysis，and complex network analysis using SPSS Statistics 26，IBM SPSS Modeler 18.0，and Gephi 9.2. The active components and targets of Forsythiae Fructus for anti-inflammation were retrieved from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP），BATMAN-TCM，and SEA，and the targets related to anti-inflammation from GeneCards，Online Mendelian Inheritance in Man （OMIM），CTD，and GenCLiP3. Following the analysis of protein-protein interactions （PPI） with STRING，a PPI network was constructed. The enrichment analysis was performed using Metascape，and the active component-anti-inflammation target-signaling pathway network of Forsythiae Fructus was constructed by Cytoscape 3.8.2. Result:According to the inclusion and exclusion criteria，2 245 prescriptions containing Forsythiae Fructus were harvested，involving 512 Chinese herbs，with a total usage frequency of 27 314. The Chinese herbs that were most frequently combined with Forsythiae Fructus （>800 times） were Glycyrrhizae Radix et Rhizoma （1 483 times），Scutellariae Radix （964 times），and Angelicae Sinensis Radix （842 times）. Hence，the herbal pairs "Forsythiae Fructus-Scutellariae Radix" and "Forsythiae Fructus-Angelicae Sinensis Radix" were further explored. The prescriptions containing Forsythiae Fructus could be utilized for the treatment of 29 kinds of diseases，and three representative disease categories including "carbuncle，gangrene，sores and ulcers"，"ophthalmic diseases and syndromes" and "epidemic diseases" are selected for data mining. There were 19 association rules obtained with "Forsythiae Fructus-Glycyrrhizae Radix et Rhizoma-Lonicerae Japonicae Flos-Angelicae Sinensis Radix" as the core herb combination for "carbuncle，gangrene，sores and ulcers". The clustering analysis revealed one multi-herb clustering group，four herbal pairs，and single herb Lonicerae Japonicae Flos，the complex network analysis four herbal modules，and the factor analysis six common factors. There were 23 association rules obtained with "Forsythiae Fructus-Glycyrrhizae Radix et Rhizoma-Scutellariae Radix-Angelicae Sinensis Radix" as the core herb combination for "ophthalmic diseases and syndromes". The clustering analysis revealed two multi-herb clustering groups and four herbal pairs，the complex network analysis four herbal modules，and the factor analysis five common factors. There were 28 association rules obtained with "Forsythiae Fructus-Glycyrrhizae Radix et Rhizoma-Menthae Haplocalycis Herba-Lonicerae Japonicae Flos" as the core herb combination for "epidemic diseases". The clustering analysis revealed three multi-herb clustering groups，one herbal pair，and two single herbs Forsythiae Fructus and Glycyrrhizae Radix et Rhizoma，the complex network analysis four herbal modules，and the factor analysis five common factors. As demonstrated by network pharmacology-based analysis，the core anti-inflammation components of Forsythiae Fructus were quercetin，luteolin，and kaempferol，and the core targets were phosphoinositide-3-kinase regulatory subunit 1 （PIK3R1），protein kinase B 1 （Akt1），and epidermal growth factor receptor（EGFR）. The biological pathways were mainly concentrated in proteoglycans in cancer，pathways in cancer，and PI3K/Akt signaling pathway，with such functions as inhibition of transcription factors，regulation of enzyme activity，and inflammation-related gene expression involved. Conclusion:This study employed a variety of data mining techniques to objectively，intuitively，and scientifically uncover the compatibility rules of Forsythiae Fructus in the treatment of high-frequency diseases. It has been found that Forsythiae Fructus is often combined with heat-clearing herbs，tonifying herbs，exterior-releasing herbs，and blood-activating and stasis-resolving herbs for diverse diseases and syndromes. Under the premise of clearing heat and removing toxin，reinforcing healthy Qi and dredging stagnation are also emphasized. According to the degree of internal heat exuberance，the heat-clearing herbs with different merits are combined. This study has revealed the unique advantages of Forsythiae Fructus in the treatment of specific diseases and syndromes as well as its multi-component，multi-target，and multi-pathway mechanisms in anti-inflammation，breaking through the limitations in modern clinical and experimental research of Forsythiae Fructus. These findings are of great significance for guiding the rational clinical application of Forsythiae Fructus and the development of health foods and new Chinese medicines，thus better accelerating the development of Chinese medicine health industry.
