Sini powder with paroxetine ameliorates major depressive disorder by modulating circadian rhythm: A randomized, double-blind, placebo-controlled trial.

Circadian rhythm disorder is a significant risk factor for mental diseases, and the recovery of circadian rhythm function has gradually become a signal of effective antidepressant therapy. Sini powder (SNP) is a classical, traditional Chinese formula for depression treatment. However, few clinical reports have been recorded. This randomized, double-blinded, controlled trial (ChiCTR1900022700) aimed to explore the efficacy of SNP on depression via regulating circadian rhythm. In total, 36 patients with major depressive disorder (MDD) were enrolled for 4-weeks medication and 6-weeks follow-up. HAMD-24 score and circadian rhythm index, including dim light melatonin onset (DLMO) and phase angle difference (PAD), were included in the assessment. DLMO and PAD were statistically significant in the SNP group after 4 weeks of treatment (p < .05) and with greater improvement in DLMO (p = .03). In addition, DLMO and the HAMD-24 score showed a positive correlation (p < .05); the HAMD-24 score degree decreased significantly over time (p < .001). Similarly, interaction effects were shown significantly between group and time (p = .049). The duration of SNP supplementation was relatively short, and the sample size was relatively small. SNP granules combined with paroxetine tablets have definite efficacy in improving the circadian rhythms of MDD patients, reflecting the therapeutic advantages of traditional Chinese medicine as antidepressants.

Optimizing Epilepsy Treatment: The Impact of Circadian Rhythms and Medication Timing on Conversion Rates and Survival.

BACKGROUND: The progression from isolated seizures to status epilepticus (SE) is a critical clinical issue. This study explores the influence of circadian rhythms on this transition and assesses the impact of medication timing on SE conversion rates and patient survival. AIM: To determine the circadian patterns in the transition from isolated seizures to SE and to evaluate the efficacy of medication timing in reducing this conversion and improving survival outcomes. DESIGN AND METHODS: Utilizing the eICU Collaborative Research Database v2.0, a retrospective analysis was performed on patients at risk of SE conversion. The study analyzed the correlation between SE conversion timing and AEDs administration in relation to circadian rhythms, employing a Logit model to evaluate the impact of medication timing on SE conversion and survival. RESULTS: The transition from isolated seizures to SE showed distinct circadian patterns, with a delayed acrophase. Early night-time AEDs administration significantly reduced conversion rates. Medication timing also influenced survival rates, with higher survival during specific periods. CONCLUSION: Circadian rhythms significantly affect the transition from isolated seizures to SE. Timely AEDs administration is crucial for reducing conversions and improving survival. A chronotherapeutic approach aligning AEDs administration with individual circadian vulnerabilities could advance epilepsy management in ICU settings. Future research should focus on personalized medication strategies that utilize circadian rhythms to optimize treatment effects.

The influence of biological rhythms on the initial onset of status epilepticus in critically ill inpatients and the study of its predictive Model.

This study aims to explore the relationship between the circadian rhythms of critically ill patients and the incidence of Status Epilepticus (SE), and to develop a predictive model based on circadian rhythm indicators and clinical factors. We conducted a diurnal rhythm analysis of vital sign data from 4413 patients, discovering significant differences in the circadian rhythms of body temperature, blood oxygen saturation, and heart rate between the SE and non-SE groups, which were correlated with the incidence of SE. We also employed various machine learning algorithms to identify the ten most significant variables and developed a predictive model with strong performance and clinical applicability. Our research provides a new perspective and methodology for the study of biological rhythms in critically ill patients, offering new evidence and tools for the prevention and treatment of SE. Our findings are consistent or similar to some in the literature, while differing from or supplementing others. We observed significant differences in the vital signs of epileptic patients at different times of the day across various diagnostic time groups, reflecting the regulatory effects of circadian rhythms. We suggest heightened monitoring and intervention of vital signs in critically ill patients, especially during late night to early morning hours, to reduce the risk of SE and provide more personalized treatment plans.

Circadian rhythms of vital signs are associated with in-hospital mortality in critically ill patients: A retrospective observational study.

Vital signs have been widely used to assess the disease severity of patients, but there is still a lack of research on their circadian rhythms. The objective is to explore the circadian rhythms of vital signs in critically ill patients and establish an in-hospital mortality prediction model. Study patients from the recorded eICU Collaborative Research Database were included in the present analyses. The circadian rhythms of vital signs are analyzed in critically ill patients using the cosinor method. Logistic regression was used to screen independent predictors and establish a prediction model for in-hospital mortality by multivariate logistic regression analysis and to show in the nomogram. Internal validation is used to evaluate the prediction model by bootstrapping with 1000 resamples. A total of 29,448 patients were included in the current analyses. The Mesor, Amplitude, and Peak time of vital signs, such as heart rate (HR), temperature, respiration rate (RR), pulse oximetry-derived oxygen saturation (SpO2), and blood pressure (BP), were significant differences between survivors and non-survivors . Logistic regression analysis showed that Mesor, Amplitude, and Peak time of HR, RR, and SpO2 were independent predictors for in-hospital mortality in critically ill patients. The area under the curve (AUC) and c-index of the prediction model for the Medical intensive care unit (MICU) and Surgical intensive care unit (SICU) were 0.807 and 0.801, respectively. The Hosmer-Lemeshow test P-values were 0.076 and 0.085, respectively, demonstrating a good fit for the prediction model. The calibration curve and decision curve analysis (DCA) also demonstrated its accuracy and applicability. Internal validation assesses the consistency of the results. There were significant differences in the circadian rhythms of vital signs between survivors and non-survivors in critically ill patients. The prediction model established by the Mesor, Amplitude, and Peak time of HR, RR, and SpO2 combined with the Acute Physiology and Chronic Health Evaluation (APACHE) IV score has good predictive performance for in-hospital mortality and may eventually support clinical decision-making.Abbreviations: ICU: Intensive care unit; MICU: Medical intensive care unit; SICU: Surgical intensive care unit; HR: Heart rate; RR: Respiration rate; SpO2: Pulse oximetry-derived oxygen saturation; BP: Blood pressure; SBP: Systolic blood pressure; DBP: Diastolic blood pressure; APACHE: Acute Physiology and Chronic Health Evaluation; bpm: beats per min; BMI: Body mass index; OR: Odd ratio; CI: Confidential interval; IQR: Interquartile range; SD: Standard deviation; ROC: Receiver operating characteristic; AUC: area under the curve; DCA: Decision curve analysis; IRB: Institutional review board.

The impact of eating behaviors during COVID-19 in health-care workers: A conditional process analysis of eating, affective disorders, and PTSD.

Objective: The incidence of post-traumatic stress disorder (PTSD) increased among healthcare workers (HCWs) during the outbreak of COVID-19. The purpose of this study was to examine the relationship between eating behavior and PTSD, considering the mediation effect of anxiety, depression and sleep. Methods: A total of 101 HCWs completed a survey. The Food-Frequency Questionnaires (FFQ) were used to evaluate the diet. A special survey was conducted on the eating time of each shift mode. The PTSD Checklist-Civilian Version (PCL-C), Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), Pittsburgh Sleep Quality Index (PSQI), and Morning-Evening Questionnaire (MEQ) were utilized to assess clinical symptoms. Results: There was a statistically significant correlation between the night shift eat midpoint (NEMP) and PTSD symptoms, anxiety and depression as significant mediators. The last meal jet lag between night shift and day shift (NDLM) was related to PTSD symptoms significantly, and sleep and anxiety were significant mediators. The relationship between animal-based protein pattern and PTSD symptoms was statistically significant, and anxiety was the significant mediator. Conclusions: The earlier the HCWs eat in the night shift, the lighter the symptoms of PTSD. This is mediated by improving anxiety, depression and sleep disorder. Furthermore, the consumption of animal protein could reduce symptoms of PTSD by improving anxiety.

The impact of heart rate circadian rhythm on in-hospital mortality in patients with stroke and critically ill: Insights from the eICU Collaborative Research Database.

BACKGROUND: Data showing the impact of dysregulated heart rate circadian rhythm in patients with stroke and critically ill are scarce. OBJECTIVE: The purpose of this study was to investigate whether the circadian rhythm of heart rate was an independent risk factor for in-hospital mortality in patients with stroke and critically ill. METHODS: Study patients from the recorded eICU Collaborative Research Database were included in the present analyses. Three variables-mesor, amplitude, and peak time-were used to evaluate the heart rate circadian rhythm. The incremental value of circadian rhythm variables in addition to Acute Physiology and Chronic Health Evaluation (APACHE) IV score to predict in-hospital mortality was explored. RESULTS: A total of 6201 patients whose heart rate have cosinor rhythmicity. After adjustments, mesor per 10 beats/min increase was associated with a 1.18-fold (95% confidence interval [CI] 1.12- to 1.25-fold; P < .001) and amplitude per 5 beats/min was associated with a 1.17-fold (95% CI 1.07- to 1.27-fold; P < .001) increase in the risk of in-hospital mortality. The risk of in-hospital mortality was highest in patients who had peak time reached between 12:00 and 18:00 (odds ratio 1.35; 95% CI 1.06-1.72; P = .015). Compared with APACHE IV score only (c-index 0.757), a combination of APACHE IV score and circadian rhythm variables of heart rate (c-index 0.766) was associated with increased discriminative ability (P = .003). CONCLUSION: Circadian rhythm of heart rate is an independent risk factor for in-hospital mortality in patients with stroke and critically ill. Including circadian rhythm variables of heart rate might increase the discriminative ability of the risk score to predict the prognosis of patients.

Shimian granules improve sleep, mood and performance of shift nurses in association changes in melatonin and cytokine biomarkers: a randomized, double-blind, placebo-controlled pilot study.

Shift nurses are prone to sleep problems and impaired nighttime alertness, with risk for reduced health status plus decreased performance, handling errors, and workplace accidents. Attention to and improvements in the situation of shift nurses are urgent. Shimian granules (SMG), an improved formula of Jieyuanshen with liver qingre and yangxin tranquilizing effects, for more than a decade has been used in China as a herbal treatment of sleep disorders in clinical practice. However, clinical data on SMG have rarely been reported. This double-blinded, randomized, placebo-controlled, pilot clinical trial (ChiCTR-IOR-17013031) aimed to explore whether Shimian granules (SMG) improves sleep and affective state in shift nurses and in association with changes in concentrations of salivary cytokines. Fifty-three rotating-shift female nurses with a Pittsburgh Sleep Quality Index (PSQI) score ≥8 were orally treated with 10.0 g SMG or placebo 2 times daily (30 min after breakfast and 30 min before bed) for 1 month. The Insomnia Severity Index (ISI), a psychomotor vigilance task, Hospital Anxiety and Depression Scale (HADS-A/HADS-D), and levels of four salivary cytokines were evaluated by single time-of-day sampling at baseline and after 1 month of treatment. Significantly lower ISI, HADS, HADS-A, and HADS-D scores, but higher 1/mean reaction time (1/mRT) score, were found in shift nurses treated with SMG than in those who received placebo, and these effects were associated with changes in salivary melatonin, TNF, IL-1ß, and IL-6 levels. These latter findings suggest melatonin, TNF, and IL-6 levels may be suitable biomarkers of ISI score in shift nurses, whereas TNF level may be a suitable biomarker of 1/mRT score and IL-6 level a suitable biomarker of HADS score in response to SMG treatment. The results of this pilot study suggest SMG can effectively improve sleep, alertness, plus anxiety and depression symptoms in shift nurses in association with changes in salivary cytokine levels. The results of this study provide an experimental basis for the evaluation of traditional Chinese medicines for the treatment of insomnia and underlying mechanisms of their actions that require detailed future exploration.

[Post-stroke speech disorder treated with acupuncture and psychological intervention combined with rehabilitation training: a randomized controlled trial].

OBJECTIVE: To assess the clinical efficacy on post-stroke speech disorder treated with acupuncture and psychological intervention combined with rehabilitation training. METHODS: The multi-central randomized controlled study was adopted. One hundred and twenty cases of brain stroke were divided into a speech rehabilitation group (control group), a speech rehabilitation plus acupuncture group (observation group 1) and a speech rehabilitation plus acupuncture combined with psychotherapy group (observation group 2), 40 cases in each one. The rehabilitation training was conducted by a professional speech trainer. In acupuncture treatment, speech function area in scalp acupuncture, Jinjin (EX-HN 12) and Yuye (EX-HN 13) in tongue acupuncture and Lianquan (CV 23) were the basic points. The supplementary points were selected according to syndrome differentiation. Bloodletting method was used in combination with acupuncture. Psychotherapy was applied by the physician in psychiatric department of the hospital. The corresponding programs were used in each group. Examination of Aphasia of Chinese of Beijing Hospital was adopted to observe the oral speech expression, listening comprehension and reading and writing ability. RESULTS: After 21-day treatment, the total effective rate was 92.5% (37/40) in observation group 1, 97.5% (39/40) in observation group 2 and 87.5% (35/40) in control group. The efficacies were similar in comparison among 3 groups. The remarkable effective rate was 15.0% (6/40) in observation group 1, 50.0% (20/40) in observation group 2 and 2.5% (1/40) in control group. The result in observation group 2 was superior to the other two groups (P<0.01, P<0.001). In comparison of the improvements of oral expression, listening comprehension, reading and writing ability, all of the 3 groups had achieved the improvements to different extents after treatment (P<0.01, P<0.001). The results in observation group 2 were better than those in observation group 1 and control group. CONCLUSION: Acupuncture and psychological intervention combined with rehabilitation training is obviously advantageous in the treatment of post-stroke speech disorder.