Pharmacological interventions for the treatment of insomnia: quantitative comparison of drug efficacy

Efficacy and safety of lemborexant in subjects previously treated with placebo for 6 months in a randomized phase 3 study

OBJECTIVE/BACKGROUND

To examine the effects of lemborexant (LEM) 5 mg (LEM5) or LEM 10 mg (LEM10) following extended placebo treatment. This post-hoc analysis used subject-reported sleep outcomes data from a phase 3 trial.

PATIENTS/METHODS

The subjects in these post-hoc analyses were randomized to placebo for 6 months (Time Period [TP]1) in Study E2006-G000-303 (SUNRISE-2; NCT02952820). Following placebo exposure, subjects were re-randomized to LEM5 or LEM10 for another 6 months (TP2). Subject-reported sleep outcomes derived from sleep diaries included sleep onset latency (sSOL), wake after sleep onset (sWASO), sleep efficiency (sSE), and total sleep time (sTST). Magnitude and change rate in parameters were assessed for 7 days before/after initial randomization to placebo and 7 days before/after re-randomization to LEM (6 months later). Month 6 placebo non-responders were assessed for LEM response in TP2 using predetermined responder definitions. Safety was monitored throughout the study.

RESULTS

Overall, 321 subjects received placebo; 258 re-randomized subjects received LEM5 (n = 133) and LEM10 (n = 125). Subjective sleep outcomes improved during TP1 with approximately 62 subjects (∼20%) exhibiting a sustained placebo response. Upon re-randomization to LEM, all measures showed an additional incremental benefit, most prominently in sSOL and sTST. Among Month 6 placebo non-responders, 11%-15% subsequently responded to LEM as assessed at Month 12. The safety profile was similar between treatment periods and treatment groups.

CONCLUSIONS

These data suggest that even when insomnia symptoms have improved over time with placebo treatment, additional and sustained clinical gains in sleep outcomes are possible with active treatment using lemborexant.

Role of Oxidative Stress and Inflammation in Insomnia Sleep Disorder and Cardiovascular Diseases: Herbal Antioxidants and Anti-inflammatory Coupled with Insomnia Detection using Machine Learning

Insomnia is well-known as trouble in sleeping and enormously influences human life due to the shortage of sleep. Reactive Oxygen Species (ROS) accrue in neurons during the waking state, and sleep has a defensive role against oxidative damage and dissipates ROS in the brain. In contrast, insomnia is the source of inequity between ROS generation and removal by an endogenous antioxidant defense system. The relationship between insomnia, depression, and anxiety disorders damages the cardiovascular systems' immune mechanisms and functions. Traditionally, polysomnography is used in the diagnosis of insomnia. This technique is complex, with a long time overhead. In this work, we have proposed a novel machine learning-based automatic detection system using the R-R intervals extracted from a single-lead electrocardiograph (ECG). Additionally, we aimed to explore the role of oxidative stress and inflammation in sleeping disorders and cardiovascular diseases, antioxidants' effects, and the psychopharmacological effect of herbal medicine. This work has been carried out in steps, which include collecting the ECG signal for normal and insomnia subjects, analyzing the signal, and finally, automatic classification. We used two approaches, including subjects (normal and insomnia), two sleep stages, i.e., wake and rapid eye movement, and three Machine Learning (ML)-based classifiers to complete the classification. A total number of 3000 ECG segments were collected from 18 subjects. Furthermore, using the theranostics approach, the role of mitochondrial dysfunction causing oxidative stress and inflammatory response in insomnia and cardiovascular diseases was explored. The data from various databases on the mechanism of action of different herbal medicines in insomnia and cardiovascular diseases with antioxidant and antidepressant activities were also retrieved. Random Forest (RF) classifier has shown the highest accuracy (subjects: 87.10% and sleep stage: 88.30%) compared to the Decision Tree (DT) and Support Vector Machine (SVM). The results revealed that the suggested method could perform well in classifying the subjects and sleep stages. Additionally, a random forest machine learning-based classifier could be helpful in the clinical discovery of sleep complications, including insomnia. The evidence retrieved from the databases showed that herbal medicine contains numerous phytochemical bioactives and has multimodal cellular mechanisms of action, viz., antioxidant, anti-inflammatory, vasorelaxant, detoxifier, antidepressant, anxiolytic, and cell-rejuvenator properties. Other herbal medicines have a GABA-A receptor agonist effect. Hence, we recommend that the theranostics approach has potential and can be adopted for future research to improve the quality of life of humans.

Network analysis of depression, anxiety, insomnia and quality of life among Macau residents during the COVID-19 pandemic

BACKGROUND

Although the Coronavirus Disease 2019 (COVID-19) has greatly impacted individuals' mental health and quality of life, network analysis studies of associations between symptoms of common syndromes during the pandemic are lacking, particularly among Macau residents. This study investigated the network structure of insomnia, anxiety, and depression and explored their associations with quality of life in this population.

METHOD

This online survey was conducted in Macau between August 18 and November 9, 2020. Insomnia, anxiety, depressive symptoms, and quality of life were assessed with the Insomnia Severity Index, Generalized Anxiety Disorder Scale, Patient Health Questionnaire, and World Health Organization Quality of Life-brief version, respectively. Analyses were performed to identify central symptoms and bridge symptoms of this network and their links to quality of life.

RESULTS

975 participants enrolled in this survey. The prevalence of depressive, anxiety and insomnia symptoms were 38.5% (95% confidence interval (CI): 35.5%-41.5%), 28.8% (95%CI: 26.0%-31.7%), and 27.6% (95% CI: 24.8%-30.4%), respectively. "Sleep maintenance" had the highest expected influence centrality, followed by "Trouble relaxing", "Interference with daytime functioning", "Irritability", and "Fatigue". Five bridge symptoms were identified: "Sleep problems", "Restlessness", "Irritability", "Severity of sleep onset", and "Motor activity". The insomnia symptom, "Sleep dissatisfaction", had the strongest direct relation to quality of life.

CONCLUSION

Insomnia symptoms played a critical role in the distress symptom network regarding node and bridge centrality as well as associations with quality of life among Macau residents. Close attention to these symptoms may be critical to reducing risk and preventing exacerbations in common forms of distress in this population.

Translational Approaches to Influence Sleep and Arousal

Sleep disorders are widespread in society and are prevalent in military personnel and in Veterans. Disturbances of sleep and arousal mechanisms are common in neuropsychiatric disorders such as schizophrenia, post-traumatic stress disorder, anxiety and affective disorders, traumatic brain injury, dementia, and substance use disorders. Sleep disturbances exacerbate suicidal ideation, a major concern for Veterans and in the general population. These disturbances impair quality of life, affect interpersonal relationships, reduce work productivity, exacerbate clinical features of other disorders, and impair recovery. Thus, approaches to improve sleep and modulate arousal are needed. Basic science research on the brain circuitry controlling sleep and arousal led to the recent approval of new drugs targeting the orexin/hypocretin and histamine systems, complementing existing drugs which affect GABA_A receptors and monoaminergic systems. Non-invasive brain stimulation techniques to modulate sleep and arousal are safe and show potential but require further development to be widely applicable. Invasive viral vector and deep brain stimulation approaches are also in their infancy but may be used to modulate sleep and arousal in severe neurological and psychiatric conditions. Behavioral, pharmacological, non-invasive brain stimulation and cell-specific invasive approaches covered here suggest the potential to selectively influence arousal, sleep initiation, sleep maintenance or sleep-stage specific phenomena such as sleep spindles or slow wave activity. These manipulations can positively impact the treatment of a wide range of neurological and psychiatric disorders by promoting the restorative effects of sleep on memory consolidation, clearance of toxic metabolites, metabolism, and immune function and by decreasing hyperarousal.

Efficacy and safety of Wuling capsule for insomnia disorder: a systematic review and meta-analysis of randomized controlled trials

OBJECTIVES

Wuling capsule has been used in treatment of insomnia disorder in China for decades, but the reported treatment efficacy of different studies was not consistent. This study intended to evaluate the efficacy and safety of Wuling capsule for insomnia disorder, so as to provide evidence for clinical application.

METHODS

Eight databases (MEDLINE, EMBASE, Ovid, Cochrane Library, Chinese National Knowledge Infrastructure, VIP information database, Chinese Biomedical Database and Wanfang) were searched from inception to September 14, 2021. Randomized controlled trials (RCTs) comparing Wuling capsule with controls in adults with insomnia disorder were eligible. The primary outcome was sleep quality assessed by Pittsburgh Sleep Quality Index (PSQI), and the secondary outcomes were severity of insomnia disorder measured by Sleep Dysfunction Rating Scale (SDRS) and adverse events. This study was conducted according to the Cochrane Handbook for Systematic Reviews of Interventions version 5.1.0.

RESULTS

Nineteen RCTs with a total of 1850 participants were included. In terms of sleep quality assessed by PSQI, Wuling capsule significantly lowered PSQI score (MD: -1.92, 95% CI: [-2.34, -1.50], P < 0.00001, I² = 95%) compared to controls, and the effect of Wuling capsule was significantly better than control no matter when Wuling capsule as monotherapy (MD: -1.71, 95% CI: [-2.33, -1.09], P < 0.00001, I² = 97%) or as adjunctive therapy (MD: -2.10, 95% CI: [-2.66, -1.55], P < 0.00001, I² = 90%). Wuling capsule was more effective for the treatment duration lasted 8 weeks (MD: -2.57, 95% CI: [-3.52, -1.62], P < 0.00001, I² = 93%) than 4 weeks (MD: -1.68, 95% CI: [-2.13, -1.22], P < 0.00001, I² = 95%). In terms of severity of insomnia disorder measured by SDRS, Wuling capsule significantly reduced SDRS score (MD: -4.21, 95% CI: [-4.95, -3.46], P < 0.00001, I² = 0%) compared to benzodiazepines. Wuling capsule significantly reduced adverse events compared to controls (RR: 0.47, 95% CI: [0.34, 0.65], P < 0.00001, I² = 43%).

CONCLUSION

Wuling capsule can safely and effectively improve sleep quality in patients with insomnia disorder. However, these findings require careful recommendation due to the high heterogeneity and high risk of bias in the included trials. Clinical trials with higher quality designs are needed.

Evidence-based insomnia treatment strategy using novel orexin antagonists: A review

Most conventional insomnia medications are gamma‐aminobutylic acid receptor agonists. However, physical dependence is a concern and one of the major limiting factors for long‐term treatment. The dual orexin receptor antagonists, suvorexant and lemborexant, were recently approved for treating chronic insomnia, giving a novel pharmacotherapeutic option. Because there are no comparative studies on these drugs, a network meta‐analysis was conducted, which is suitable for comparing interventions. According to this analysis, 5‐ and 10‐mg lemborexant were superior to 20‐mg suvorexant because of the greater improvement in initiating sleep after 1‐week administration. Furthermore, 5‐mg lemborexant (not 10 mg) and suvorexant were similarly well tolerated, without requiring discontinuation due to adverse events. We also overviewed the pharmacological and pharmacokinetic properties of lemborexant and suvorexant that may support these clinical outcomes. When compared to suvorexant, lemborexant quickly binds to the orexin receptors. The time to reach the maximum concentration after multiple administrations is shorter for lemborexant than for suvorexant. Considering these results, we recommend 5‐mg lemborexant as an initial treatment for insomnia, followed by 10‐mg lemborexant or suvorexant.

A network meta‐analysis of the dual orexin receptor antagonists, suvorexant, and lemborexant, showed that 5‐ and 10‐mg lemborexant were superior to 20‐mg suvorexant, with greater improvement in sleep onset after 1 week of treatment. In addition, 5‐mg (but not 10‐mg) lemborexant and suvorexant were similarly well tolerated. We have overviewed the pharmacological and pharmacokinetic properties of lemborexant and suvorexant that may support these clinical results, and recommended 5‐mg lemborexant as initial treatment for insomnia, followed by 10‐mg lemborexant or suvorexant.