Later sleep schedule and depressive symptoms are associated with usage of multiple kinds of hypnotics

Factors associated with hypnotics polypharmacy in the Japanese population

OBJECTIVE

Insomnia disorder is a global public health issue, commonly treated with hypnotics. However, long-term use of benzodiazepine derivatives (BZDs), especially polypharmacy with this kind of drug, carries risks for dependence and abuse. This study using large-scale medical insurance records investigated the causes of polypharmacy through the treatment of insomnia disorder.

METHODS

A cross-sectional study analyzed anonymized medical record data from July 2014 to March 2018 provided by a nationwide Japanese health insurance association covering 405,952 individuals. Outpatients prescribed at least one sleep medication were included. Demographic data, pharmacological classification of the drugs, and comorbidities were assessed using hierarchical logistic regression analysis to explore their associations with polypharmacy.

RESULTS

Of the 33,212 outpatients who were prescribed sleep medications, 32.5 % were prescribed multiple types. After adjusting for demographics and type of sleep medications as covariates, hypnotic polypharmacy was significantly associated with younger age, the presence of certain kinds of comorbidities, and using BZD anxiolytics before bedtime with the highest adjusted odds ratios (8.01-9.39) when referenced with BZD hypnotics. On the other hand, usage of orexin receptor antagonists, melatonin receptor agonists, and Z-drugs indicated lower odds ratios (0.74-0.87).

CONCLUSIONS

Hypnotic polypharmacy is relatively common in the Japanese general population. With the introduction of non-pharmacological therapy in mind, assessing patients' comorbidities and avoiding the use of benzodiazepines, especially BZD anxiolytics, before bedtime would be recommended to prevent polypharmacy.

iTRAQ-based proteomics analysis on insomnia rats treated with Mongolian medical warm acupuncture

Objective: To explore the proteomic changes in the hypothalamus of rats treated with Mongolian medical warm acupuncture for insomnia therapy based proteomics. Method: We used an iTRAQ-based quantitative proteomic approach to identify proteins that potential molecular mechanisms involved in the treatment of insomnia by Mongolian medical warm acupuncture. Result: In total, 7477 proteins were identified, of which 36 proteins showed increased levels and 45 proteins showed decreased levels in insomnia model group (M) compared with healthy control group (C), 72 proteins showed increased levels and 44 proteins showed decreased levels from the warm acupuncture treated insomnia group (W) compared with healthy controls (C), 28 proteins showed increased levels and 17 proteins showed decreased levels from the warm acupuncture-treated insomnia group (W) compared with insomnia model group (M). Compared with healthy control groups, warm acupuncture-treated insomnia group showed obvious recovered. Bioinformatics analysis indicated that up-regulation of neuroactive ligand–receptor interaction and oxytocin signaling was the most significantly elevated regulate process of Mongolian medical warm acupuncture treatment for insomnia. Proteins showed that increased/decreased expression in the warm acupuncture-treated insomnia group included Prolargin (PRELP), NMDA receptor synaptonuclear-signaling and neuronal migration factor (NSMF), Transmembrane protein 41B (TMEM41B) and Microtubule-associated protein 1B (MAP1B) to adjust insomnia. Conclusion: A combination of findings in the present study suggest that warm acupuncture treatment is efficacious in improving sleep by regulating the protein expression process in an experimental rat model and may be of potential benefit in treating insomnia patients with the added advantage with no adverse effects.

Outcome of a three-phase treatment algorithm for inpatients with melancholic depression

BACKGROUND

In patients suffering from major depressive disorder, non-response to initial antidepressant monotherapy is relatively common. The use of treatment algorithms may optimize and enhance treatment outcome.

METHODS

A single-center 3-phase treatment algorithm was evaluated for inpatients with major depressive disorder, i.e. phase I (n = 85): 7 weeks optimal antidepressant monotherapy (imipramine or venlafaxine); phase II (n = 39): 4 weeks subsequent plasma level-targeted dose lithium addition in case of insufficient improvement of antidepressant monotherapy; and phase III (n = 8): subsequent electroconvulsive therapy in case of insufficient improvement of antidepressant‑lithium treatment. Overall feasibility of the 3-phase algorithm was determined by the number of dropouts, and overall efficacy was evaluated using weekly scores on the 17-item Hamilton Rating Scale for Depression (HAM-D) during the treatment phases of the algorithm. This paper is based on an RCT comparing the two antidepressants in phase I and adding lithium in phase II.

RESULTS

Of the 85 patients analyzed, overall dropout during the 3-phase treatment algorithm was 24 (28%) patients. When analyzing the 3-phase treatment algorithm on a modified intention-to-treat basis, 39 (46%) patients achieved complete remission (HAM-D score ≤ 7) by the end of the algorithm. Regarding response (HAM-D score reduction ≥50%): of the 85 patients, 60 (71%) were responders by the end of the algorithm.

CONCLUSION

The favorable outcome of the 3-phase treatment algorithm emphasizes the importance of pursuing stepwise antidepressant treatment in patients who are nonresponsive to the first antidepressant.

CLINICAL TRIAL REGISTRATION

This study protocol is registered at http://www.controlled-trials.com, "Pharmacological Treatment of Depression" (identifier: ISRCTN73221288).