Sleep medicine: Practice, challenges and new frontiers

Effects of chamomile (Matricaria chamomilla L.) on sleep: A systematic review and meta-analysis of clinical trials

OBJECTIVE

We aimed to investigate the effects of chamomile (Matricaria chamomilla L.) on sleep in this systematic review and meta-analysis of clinical trials.

METHODS

PubMed, Scopus, Web of Science, and Cochrane Library were searched until August 2023. All clinical trials that investigated the effects of chamomile on sleep, either in healthy or diseased adults, were eligible to enter the study. The quality of studies was assessed using the Cochrane tool. Random-effects meta-analysis was used to pool weighted mean differences (WMD) and 95 % CI for the outcomes assessed by at least three studies with relatively consistent participants.

RESULTS

The systematic review included ten studies (772 participants). Meta-analysis was conducted for the Pittsburgh Sleep Quality Index (PSQI) score and sleep length. A significant reduction in PSQI score (WMD: -1.88, 95 %CI: -3.46, -0.31, I2: 88.4 %, n = 5) was found. For other outcomes, meta-analysis was not conducted. Sleep onset latency or ease of getting to sleep were improved in three of the four studies. Daytime functioning measures, including fatigue severity index or postpartum fatigue scale, did not change in all three studies. Sleep efficiency did not change in two studies and deteriorated in one. The number of awakenings after sleep or staying asleep was improved in two of the three studies. No adverse events were reported in any of the studies although passive surveillance was used to assess adverse effects except in one study. Only one study surveyed the blinding success and tested the purity and/or potency of the used products.

CONCLUSION

Chamomile improved sleep, especially the number of awakenings after sleep or staying asleep; however, it did not lead to an improvement in the duration of sleep, percentage of sleep efficiency, and daytime functioning measures. Future studies are suggested to assess objective measures.

Revolutionizing Sleep Health: The Emergence and Impact of Personalized Sleep Medicine

Personalized sleep medicine represents a transformative shift in healthcare, emphasizing individualized approaches to optimizing sleep health, considering the bidirectional relationship between sleep and health. This field moves beyond conventional methods, tailoring care to the unique physiological and psychological needs of individuals to improve sleep quality and manage disorders. Key to this approach is the consideration of diverse factors like genetic predispositions, lifestyle habits, environmental factors, and underlying health conditions. This enables more accurate diagnoses, targeted treatments, and proactive management. Technological advancements play a pivotal role in this field: wearable devices, mobile health applications, and advanced diagnostic tools collect detailed sleep data for continuous monitoring and analysis. The integration of machine learning and artificial intelligence enhances data interpretation, offering personalized treatment plans based on individual sleep profiles. Moreover, research on circadian rhythms and sleep physiology is advancing our understanding of sleep's impact on overall health. The next generation of wearable technology will integrate more seamlessly with IoT and smart home systems, facilitating holistic sleep environment management. Telemedicine and virtual healthcare platforms will increase accessibility to specialized care, especially in remote areas. Advancements will also focus on integrating various data sources for comprehensive assessments and treatments. Genomic and molecular research could lead to breakthroughs in understanding individual sleep disorders, informing highly personalized treatment plans. Sophisticated methods for sleep stage estimation, including machine learning techniques, are improving diagnostic precision. Computational models, particularly for conditions like obstructive sleep apnea, are enabling patient-specific treatment strategies. The future of personalized sleep medicine will likely involve cross-disciplinary collaborations, integrating cognitive behavioral therapy and mental health interventions. Public awareness and education about personalized sleep approaches, alongside updated regulatory frameworks for data security and privacy, are essential. Longitudinal studies will provide insights into evolving sleep patterns, further refining treatment approaches. In conclusion, personalized sleep medicine is revolutionizing sleep disorder treatment, leveraging individual characteristics and advanced technologies for improved diagnosis, treatment, and management. This shift towards individualized care marks a significant advancement in healthcare, enhancing life quality for those with sleep disorders.

Images: Sleep-related painful erection with concomitant hypnic headache

Sleep-related painful erection (SRPE) is a parasomnia defined by the repetition of painful erections during rapid eye movement (REM) sleep. Hypnic headache (HH) is a primary headache occurring exclusively at night, often during REM sleep. We report the observation of a 33-year-old man with simultaneous SRPE and HH. Physical examination was normal. Comprehensive urological and endocrine explorations excluded other organic differential diagnoses. Polysomnography revealed several awakenings in REM, due to SRPE and concurrent HH. Medication by baclofen at bedtime seemed to have resulted in a decrease in SRPE episodes, confirmed by polysomnography, but at the cost of excessive daytime sleepiness, and was discontinued by the patient. Caffeine intake at bedtime was proposed, but the patient was reluctant because he was concerned about worsening insomnia. At 9-month follow-up, the patient had accepted his medical condition and was coping with both SRPE and HH. He felt reassured and wished no "overmedicalization." To our knowledge, the coexistence of both conditions has not yet been reported, yet their frequencies might be underestimated. We hypothesize a common underlying pathophysiology with a possible dysfunction of the vascular control and/or the autonomic nervous system and that could involve the hypothalamus. Somnologists should be aware of SRPE, potentially overlapping with HHs. SRPE should be considered in case of sleep-maintenance insomnia. Patient reassurance seems to be central in the care process of SRPE.

CITATION

Moreau A, Monnier L, Medde A, Bourgin P, Ruppert E. Images: sleep-related painful erection with concomitant hypnic headache. J Clin Sleep Med. 2024;20(5):837-839.

Fearful arousals in sleep terrors and sleep-related hypermotor epileptic seizures may involve the salience network and the acute stress response of Cannon and Selye

We consider the disorders of arousal and sleep-related hypermotor epilepsy as genetic twin-conditions, one without, one with epilepsy. They share an augmented arousal-activity during NREM sleep with sleep-wake dissociations, culminating in sleep terrors and sleep-related hypermotor seizures with similar symptoms. The known mutations underlying the two spectra are different, but there are multifold population-genetic-, family- and even individual (the two conditions occurring in the same person) overlaps supporting common genetic roots. In the episodes of disorders of arousal, the anterior cingulate, anterior insular and pre-frontal cortices (shown to be involved in fear- and emotion processing) are activated within a sleeping brain. These regions overlap with the seizure-onset zones of successfully operated sleep-related hypermotor seizures, and notably, belong to the salience network being consistent with its hubs. The arousal-relatedness and the similar fearful confusion occurring in sleep terrors and hypermotor seizures, make them alike acute stress-responses emerging from sleep; triggered by false alarms. The activation of the anterior cingulate, prefrontal and insular regions in the episodes of both conditions, can easily mobilize the hypothalamo-pituitary-adrenal axis (preparing fight-flight responses in wakefulness); through its direct pathways to and from the salience network. This hypothesis has never been studied.

Obstructive sleep apnea and attention deficits: A systematic review of magnetic resonance imaging biomarkers and neuropsychological assessments

BACKGROUND AND OBJECTIVE

Obstructive sleep apnea (OSA) is a common sleep disorder that causes intermittent hypoxia and sleep fragmentation, leading to attention impairment and other cognitive deficits. Magnetic resonance imaging (MRI) is a powerful modality that can reveal the structural and functional brain alterations associated with attention impairment in OSA patients. The objective of this systematic review is to identify and synthesize the evidence on MRI biomarkers and neuropsychological assessments of attention deficits in OSA patients.

METHODS

We searched the Scopus and PubMed databases for studies that used MRI to measure biomarkers related to attention alteration in OSA patients and reported qualitative and quantitative data on the association between MRI biomarkers and attention outcomes. We also included studies that found an association between neuropsychological assessments and MRI findings in OSA patients with attention deficits.

RESULTS

We included 19 studies that met our inclusion criteria and extracted the relevant data from each study. We categorized the studies into three groups based on the MRI modality and the cognitive domain they used: structural and diffusion tensor imaging MRI findings, functional, perfusion, and metabolic MRI findings, and neuropsychological assessment findings.

CONCLUSIONS

We found that OSA is associated with structural, functional, and metabolic brain alterations in multiple regions and networks that are involved in attention processing. Treatment with continuous positive airway pressure can partially reverse some of the brain changes and improve cognitive function in some domains and in some studies. This review suggests that MRI techniques and neuropsychological assessments can be useful tools for monitoring the progression and response to treatment of OSA patients.

Unveiling the Path to Resilience: Prioritizing Mental Health, Sleep, and Nutrition in the Post-COVID Era

The COVID-19 pandemic has disrupted daily life, impacting relationships, work, and education. This has led to increased stress, anxiety, and depression, along with altered sleep patterns and eating behaviors. Quarantine and isolation have worsened mental health, especially in children and the elderly, due to the loss of activities and physical contact. Sleep disorders and negative dreams perpetuate poor sleep quality, increasing the risk of health issues. Sedentary lifestyles and emotional effects contribute to unhealthy eating patterns and obesity, exacerbated by disrupted routines and limited outdoor activities. Addressing these challenges requires prioritizing mental health, promoting healthy sleep habits, and addressing obesity factors. The pandemic has profoundly affected human well-being, but resilience, mental health, sleep, and nutrition can enhance overall well-being and adaptability in the post-COVID era. This comprehensive opinion aims to raise awareness of the wide-ranging impacts of this pandemic on various aspects of human well-being and to emphasize the importance of implementing strategies that prioritize mental health, improve sleep habits, address eating behaviors, and foster resilience to navigate and thrive in the face of future challenges.

The Contribution of Sleep Texture in the Characterization of Sleep Apnea

Obstructive sleep apnea (OSA) is multi-faceted world-wide-distributed disorder exerting deep effects on the sleeping brain. In the latest years, strong efforts have been dedicated to finding novel measures assessing the real impact and severity of the pathology, traditionally trivialized by the simplistic apnea/hypopnea index. Due to the unavoidable connection between OSA and sleep, we reviewed the key aspects linking the breathing disorder with sleep pathophysiology, focusing on the role of cyclic alternating pattern (CAP). Sleep structure, reflecting the degree of apnea-induced sleep instability, may provide topical information to stratify OSA severity and foresee some of its dangerous consequences such as excessive daytime sleepiness and cognitive deterioration. Machine learning approaches may reinforce our understanding of this complex multi-level pathology, supporting patients' phenotypization and easing in a more tailored approach for sleep apnea.

Chronic Insomnia Disorder across Europe: Expert Opinion on Challenges and Opportunities to Improve Care

One in ten adults in Europe have chronic insomnia, which is characterised by frequent and persistent difficulties initiating and/or maintaining sleep and daily functioning impairments. Regional differences in practices and access to healthcare services lead to variable clinical care across Europe. Typically, a patient with chronic insomnia (a) will usually present to a primary care physician; (b) will not be offered cognitive behavioural therapy for insomnia-the recommended first-line treatment; (c) will instead receive sleep hygiene recommendations and eventually pharmacotherapy to manage their long-term condition; and (d) will use medications such as GABA receptor agonists for longer than the approved duration. Available evidence suggests that patients in Europe have multiple unmet needs, and actions for clearer diagnosis of chronic insomnia and effective management of this condition are long overdue. In this article, we provide an update on the clinical management of chronic insomnia in Europe. Old and new treatments are summarised with information on indications, contraindications, precautions, warnings, and side effects. Challenges of treating chronic insomnia in European healthcare systems, considering patients' perspectives and preferences are presented and discussed. Finally, suggestions are provided-with healthcare providers and healthcare policy makers in mind-for strategies to achieve the optimal clinical management.

Cognitive-behavioral therapy for insomnia with objective short sleep duration phenotype: A systematic review with meta-analysis

Cognitive-behavioral therapy for insomnia (CBT-I) has been recommended as the first-line therapy for this condition. However, insomnia disorder with objective short sleep duration (ISS) phenotype is a distinct subtype from insomnia with normal sleep duration (INS) phenotype, and it may have a differential therapeutic response. We searched PubMed, EMBASE, Cochrane Library, and ClinicalTrials.gov using the PICOS principle for studies that examined the efficacy of cognitive-behavioral therapy for those with the ISS phenotype versus the INS phenotype, and identified nine studies with 612 patients with insomnia disorder. This included 270 patients with the ISS phenotype and 342 patients with the INS phenotype. The main outcome was that CBT-I had a better efficacy for the INS phenotype compared with the ISS phenotype, with about 30% higher response and about 20% higher remission. Similar results were indicated in the secondary outcomes. The therapeutic response of the ISS phenotype was significantly different from that of the INS phenotype. In the future, research is needed to clarify how to optimally treat insomnia disorder with the ISS phenotype in prospective randomized clinical trials, and to understand whether decreasing physiologic arousal will be necessary to improve results.