Unlabelled: The authors present the clinical case of a 67-year-old man with severe insomnia for 5 years with an exacerbation about 1 year before consultation. He did not have enough concentration and energy for his daily work and developed depression and anxiety because of his excessive daytime sleepiness. During his insomniac state, a drug treatment provided partial relief, but the effects were not long-lasting. Consequently, the drug dosage increased, and major side effects gradually manifested. We decided to use a completely new therapeutic strategy for this patient to improve his sleep quality and mental symptoms. In time, the patient could stop oral medications and that is multimodal sleep. After the end of multimodal sleep, the patient typically experiences improvement in sleep quality and architecture. Additionally, the dosage of hypnotics used before multimodal sleep is discontinued without severe withdrawal symptoms.

Citation: Zhang J-F, Williams JP, Zhao Q-N, et al. Multimodal sleep, an innovation for treating chronic insomnia: case report and literature review. . 2021;17(8):1737-1742.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8656903PMC
http://dx.doi.org/10.5664/jcsm.9310DOI Listing

Publication Analysis

Top Keywords

multimodal sleep
20
sleep innovation
8
innovation treating
8
treating chronic
8
chronic insomnia
8
insomnia case
8
case report
8
report literature
8
literature review
8
sleep quality
8

Similar Publications

Sleep is crucial for maintaining brain homeostasis and individuals with insufficient sleep are prone to more pronounced brain atrophy as compared to sufficiently sleeping peers. Moreover, sleep quality deteriorates with ageing and ageing is also associated with cerebral structural and functional changes, pointing to their mutual bidirectional interrelationship. This study aimed at determining whether sleep quality and age, separately, affect brain integrity and subsequently, whether sleep significantly modulates the effect of age on brain structural and functional integrity.

View Article and Find Full Text PDF

Multimodal sleep staging network based on obstructive sleep apnea.

Front Comput Neurosci

December 2024

School of Electrical and Electronic Engineering, Chongqing University of Technology, Chongqing, China.

Background: Automatic sleep staging is essential for assessing sleep quality and diagnosing sleep disorders. While previous research has achieved high classification performance, most current sleep staging networks have only been validated in healthy populations, ignoring the impact of Obstructive Sleep Apnea (OSA) on sleep stage classification. In addition, it remains challenging to effectively improve the fine-grained detection of polysomnography (PSG) and capture multi-scale transitions between sleep stages.

View Article and Find Full Text PDF

Prediction of good neurological outcome after return of circulation following paediatric cardiac arrest: a systematic review and meta-analysis.

Resuscitation

December 2024

Department of Critical Care Medicine, Hospital for Sick Children, Department of Paediatrics, University of Toronto, Neurosciences and Mental Health Program, Research Institute Toronto, ON, Canada.

Aim: To evaluate the ability of blood-biomarkers, clinical examination, electrophysiology, or neuroimaging, assessed within 14 days from return of circulation to predict good neurological outcome in children following out- or in-hospital cardiac arrest.

Methods: Medline, EMBASE and Cochrane Trials databases were searched (2010-2023). Sensitivity and false positive rates (FPR) for good neurological outcome (defined as either 'no, mild, moderate disability or minimal change from baseline') in paediatric survivors were calculated for each predictor.

View Article and Find Full Text PDF

Biological systems are complex, encompassing intertwined spatial, molecular and functional features. However, methodological constraints limit the completeness of information that can be extracted. Here, we report the development of INSIHGT, a non-destructive, accessible three-dimensional (3D) spatial biology method utilizing superchaotropes and host-guest chemistry to achieve homogeneous, deep penetration of macromolecular probes up to centimeter scales, providing reliable semi-quantitative signals throughout the tissue volume.

View Article and Find Full Text PDF

Harmonic-to-noise ratio as speech biomarker for fatigue: K-nearest neighbour machine learning algorithm.

Med J Armed Forces India

December 2024

Associate Professor, Dayanand Sagar Univerity, Bengaluru, India.

Background: Vital information about a person's physical and emotional health can be perceived in their voice. After sleep loss, altered voice quality is noticed. The circadian rhythm controls the sleep cycle, and when it is askew, it results in fatigue, which is manifested in speech.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!