OBJECTIVE: To compare the effect of acupuncture based on syndrome differentiation and estazolam in the treatment of chronic insomnia and its influence on cognitive function. METHODS: A total of 90 patients with chronic insomnia were randomly divided into an acupuncture group and a medication group, 45 cases in each group. The acupuncture group was treated with acupuncture at Sishencong (EX-HN 1) and bilateral Shenmen (HT 7), Sanyinjiao (SP 6) combined with compatibility of acupoints based on syndrome differentiation, once a day for 6 d and then rest for 1 d, for a total of 4 weeks. The medication group was treated with oral estazolam tablets before bedtime, 1 tablet each time, for a total of 4 weeks. Before and after treatment, the scores of Pittsburgh sleep quality index (PSQI), mini-mental state examination (MMSE), Montreal cognitive assessment (MoCA) and auditory verbal memory test (AVMT) of the two groups were compared, and the effects were evaluated. RESULTS: After treatment, the PSQI sub-item scores and total scores of the two groups were lower than those before treatment ( P<0.05 ), and above scores in the acupuncture group were lower than those in the medication group ( P<0.05 ); the scores of MMSE, MoCA and AVMT in the two groups were higher than those before treatment ( P<0.05 ), and the scores in the acupuncture group were higher than those in the medication group ( P<0.05 ). The total effective rate of the acupuncture group was 80.0% (36/45), which was higher than 53.3% (24/45) in the medication group (P<0.05). CONCLUSION Syndrome differentiation acupuncture can improve the sleep quality and cognitive function of patients with chronic insomnia, and the curative effect is better than that of estazolam.
Humans ; Sleep Initiation and Maintenance Disorders/therapy* ; Estazolam ; Acupuncture Therapy ; Cognition ; Acupuncture Points ; Syndrome

Objective To explore the inhibitory effects and mechanisms of benzodiazepines on Helicobacter pylori (Hp).Methods The Hp international standard strain ATCC43504 was treated with benzodiazepines diazepam,midazolam,and remimazolam,respectively.The treatments with amoxicillin and clarithromycin were taken as the positive controls,and that with water for injection as the negative control.The inhibition zone of each drug was measured by the disk diffusion method.The minimum inhibitory concentration(MIC)and minimum bactericidal concentration(MBC)of each drug against Hp were determined.Hp suspension was configured and treated with diazepam and midazolam,respectively.The bacterial suspension without drug added was used as the control group.The concentration of K⁺ in each bacterial suspension was measured by an automatic biochemical analyzer before drug intervention(T₀)and 1(T₁),2(T₂),3(T₃),4(T₄),5(T₅),6(T₆),and 7 h(T₇)after intervention.Hp urease was extracted and treated with 1/2 MIC diazepam,1 MIC diazepam,2 MIC diazepam,1/2 MIC midazolam,1 MIC midazolam,2 MIC midazolam,1 mg/ml acetohydroxamic acid,and water for injection,respectively.The time required for the rise from pH 6.8 to pH 7.7 in each group was determined by the phenol red coloring method.Results The inhibition zones of diazepam,midazolam,remimazolam,amoxicillin,clarithromycin,and water for injection against Hp were 52.3,42.7,6.0,72.3,60.8,and 6.0 mm,respectively.Diazepam and midazolam showed the MIC of 12.5 μg/ml and 25.0 μg/ml and the MBC of 25 μg/ml and 50 μg/ml,respectively,to Hp.The concentrations of K⁺ in the diazepam,midazolam,and control groups increased during T₁-T₇ compared with those at T₀(all P<0.01).The concentration of K⁺ in diazepam and midazolam groups during T₁-T₄ was higher than that in the control group(all P<0.01).The time of inhibiting urease activity in the 1/2 MIC diazepam,1 MIC diazepam,2 MIC diazepam,1/2 MIC midazolam,1 MIC midazolam,and 2 MIC midazolam groups was(39.86±5.11),(36.52±6.65),(38.58±4.83),(39.25±6.19),(36.36±4.61),and(35.81±6.18)min,respectively,which were shorter than that in the acetohydroxamic acid group(all P<0.01)and had no significance differences from that in the water for injection group(all P>0.05).Conclusion Diazepam and midazolam exerted inhibitory effects on Hp,which may be related to the cleavage of Hp cells rather than inhibiting urease.
Midazolam ; Helicobacter pylori ; Urease ; Clarithromycin/pharmacology* ; Benzodiazepines/pharmacology* ; Diazepam/pharmacology* ; Amoxicillin ; Water ; Anti-Bacterial Agents/pharmacology*

OBJECTIVES: The use of anticholinergic drugs in the elderly may lead to negative events such as falls, delirium, urinary retention and cognitive decline, and the higher the number of anticholinergic drugs use, the more such negative events occur. This study aims to analyze the risk factors associated with the prescription of total anticholinergic drugs in elderly outpatients and evaluate the rationality of anticholinergic drugs, and to provide a reference for reducing the adverse effects of anticholinergic drugs. METHODS: A list of drugs with anticholinergic activity based on the Beers criteria was established. The basic information (such as age and gender), clinical diagnosis, and medications of elderly outpatient were extracted from hospital electronic medical records, and the Anticholinergic Cognitive Burden (ACB) Scale was used to calculate the anticholinergic burden for each patient. Logistic regression analysis was used to identify the potential risk factors for the occurrence of problems such as multiple medication and insomnia. RESULTS: A total of 1 840 prescriptions for elderly patients were reviewed. Of these patients, ACB score was more than or equal to 1 in 648 (35.22%) patients. Number of prescription medication (95% CI: 1.221 to 1.336) and insomnia (95% CI: 3.538 to 6.089) were independent factors affecting ACB scores (both P<0.01). Medications for patients of ACB scores were most commonly treated with the central nervous system drugs (such as alprazolam and eszopiclone) and for the cardiovascular system drugs (such as metoprolol and nifedipine). CONCLUSIONS There is a high rate of ACB drugs use in geriatric patients, and the clinical focus should be on multiple medication prescriptions, especially on the central nervous system drugs (such as alprazolam and eszopiclone) and cardiovascular system drugs (such as metoprolol and nifedipine). The prescription review should be emphasized to reduce adverse reactions to anticholinergic drugs in elderly patients.
Humans ; Aged ; Cholinergic Antagonists/adverse effects* ; Outpatients ; Metoprolol ; Alprazolam ; Eszopiclone ; Nifedipine ; Sleep Initiation and Maintenance Disorders ; Risk Factors

Humans ; Estazolam ; Chromatography, High Pressure Liquid

Humans ; Benzodiazepines ; Hypnotics and Sedatives ; Prescriptions

OBJECTIVES: To establish a method for the detection of carbamazepine and its metabolites 10,11-dihydro-10,11-epoxycarbamazepine and 10,11-dihydro-10-hydroxycarbamazepine in blood samples by liquid chromatography-tandem mass spectrometry (LC-MS/MS). METHODS: The blood samples were treated with 1-butyl-3-methylimidazolium hexafluorophosphate as an extraction solvent. The samples were extracted by ultrasound-assisted extraction and separated by ZORBAX Eclipse Plus C18, 95Å column. The mobile phase A aqueous solution containing 0.1% formic acid and 10 mmol/L ammonium acetate, and mobile phase B mixed organic solvent containing acetonitrile/methanol (V_acetonitrile∶V_methanol=2∶3) were used for gradient elution at the flow rate of 1.00 mL/min. An electrospray ion source in positive mode was used for detection in the multiple reaction monitoring. RESULTS: The linearities of carbamazepine and its metabolites 10,11-dihydro-10,11-epoxycarbamazepine and 10,11-dihydro-10-hydroxycarbamazepine in blood samples were good within the corresponding range, with correlation coefficients (r) greater than 0.995 6. The limits of detection were 3.00, 0.40 and 1.30 ng/mL, respectively. The limit of quantitation were 8.00, 1.00 and 5.00 ng/mL, respectively. The extraction recoveries ranged from 76.00% to 106.44%. The relative standard deviations of the intra-day and inter-day precisions were less than 16%. Carbamazepine and its main metabolite 10,11-dihydro-10,11-epoxycarbamazepine were detected in blood samples of death cases with a mass concentration of 2.71 μg/mL and 252.14 ng/mL, respectively. CONCLUSIONS This method has high sensitivity and good selectivity, which is suitable for the detection of carbamazepine and its metabolites in blood samples, and can be used for carbamazepine-related forensic identifications.
Chromatography, Liquid/methods* ; Tandem Mass Spectrometry ; Methanol ; Carbamazepine/analysis* ; Benzodiazepines/analysis* ; Solvents ; Chromatography, High Pressure Liquid ; Solid Phase Extraction

With the ultra high performance liquid chromatography-quadruple-electrostatic field orbitrap high resolution mass spectrometry(UHPLC-Q Exactive Orbitrap-MS)-based metabonomics technology, this study aims to analyze the effect of Chaiqin Ningshen Granules(CNG) on endogenous metabolites in insomnia rats of liver depression syndrome and explore the sleep-improving mechanism of this prescription. Parachlorophenylalanine(PCPA, ip) and chronic stimulation were combined to induce insomnia of liver depression pattern in rats, and the effect of CNG on the macroscopic signs, hemorheology, and neurotransmitters in the hippocampus of insomnia rats of liver depression syndrome was observed. After the administration, rat hippocampus was collected for liquid chromatography-mass spectrometry(LC-MS) analysis of the metabolomics. Principal component analysis(PCA), partial least squares discriminant analysis(PLS-DA), and orthogonal partial least squares discriminant analysis(OPLS-DA) were employed for analyzing the metabolites in rat hippocampus and screening potential biomarkers. MetPA was used to yield the related metabolic pathways and metabolic networks. The results show that the drugs can significantly improve the mental state, liver depression, and blood stasis of rats, significantly increase the content of 5-hydroxytryptamine(5-HT) and gamma aminobutyric acid(GABA) in hippocampus(except low-dose CNG), and significantly reduce the content of glucose(Glu)(except low-dose CNG). Among them, estazolam and high-dose CNG had better effect than others. Metabolomics analysis yielded 27 potential biomarkers related to insomnia. MetPA analysis showed 4 metabolic pathways of estazolam in intervening insomnia and 3 metabolic pathways of high-dose CNG in intervening insomnia, involving purine metabolism, glycerophospholipid metabolism, histidine metabolism, and caffeine metabolism. CNG can alleviate insomnia by regulating endogenous differential metabolites and further related metabolic pathways. The result lays a basis for further elucidating the mechanism of CNG in improving sleep.
Animals ; Biomarkers ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/pharmacology* ; Estazolam ; Hippocampus/metabolism* ; Metabolomics/methods* ; Rats ; Sleep ; Sleep Initiation and Maintenance Disorders/drug therapy*

Humans ; Benzodiazepines ; Hypnotics and Sedatives/therapeutic use* ; Intensive Care Units ; Midazolam

OBJECTIVES: To investigate the risk factors for delirium after sedation in children with convulsion, and to establish a nomogram model for predicting the risk of delirium. METHODS: A total of 373 children with convulsion who were hospitalized in the pediatric ward of the Second Affiliated Hospital of Air Force Medical University from August 2020 to January 2022 were prospectively enrolled. There were 245 children in the modeling group and 128 children in the validation group. A multivariate logistic regression analysis was used to identify independent predictive factors for delirium after sedation and establish a nomogram model for predicting the risk of this disorder based on these factors. The calibration curve, the receiver operating characteristic curve, and the decision curve analysis were used to evaluate the accuracy, discriminatory ability, and clinical application value of this model, respectively. RESULTS: The incidence of delirium after sedation was 22.3% (83/373) in the children with convulsion. The multivariate logistic regression analysis showed that age>5 years (OR=0.401, P<0.05) was a protective factor against delirium after sedation in these children, while presence of infection (OR=3.020, P<0.05), admission to the pediatric intensive care unit (OR=3.126, P<0.05), use of benzodiazepines (OR=5.219, P<0.05), history of status convulsion (OR=2.623, P<0.05), and history of delirium episodes (OR=3.119, P<0.05) were risk factors for delirium. The H-L deviation test of the nomogram prediction model showed a good degree of fit (χ²=9.494, P=0.302). Internal and external validation showed that the mean absolute errors between the actual and predicted values of the calibration curve were 0.030 and 0.018, respectively, and the areas under the receiver operating characteristic curve were 0.777 and 0.775, respectively. The decision curve analysis showed that the model provided significant net clinical benefit when the predicted risk threshold was >0.01. CONCLUSIONS Age, presence of infection, admission to the pediatric intensive care unit, use of benzodiazepines, history of status convulsion, and history of delirium episodes are closely associated with the development of delirium after sedation in children with convulsion. The nomogram model for predicting this disorder that is established based on these factors has relatively high accuracy, discriminatory ability, and clinical application value.
Humans ; Child ; Child, Preschool ; Nomograms ; Risk Factors ; Delirium/etiology* ; Seizures ; Benzodiazepines

Objective To establish a method using supramolecular solvent and gas chromatography-tandem mass spectrometry （GC-MS/MS） to analyze 9 benzodiazepines in urines. Methods Urine samples containing 9 benzodiazepines reference substance were subjected to liquid-liquid extractions with supramolecular solvent, which consisted of tetrahydrofuran and 1-hexanol. The solvent layer was evaporated to dryness by stream of nitrogen. The residue was reconstituted with methanol, and GC-MS/MS analysis was performed on it. The way of data collection was multiple reaction monitoring （MRM） mode; internal standard method was employed for quantification. Results In urine samples, when the range of mass concentration was 1-100 ng/mL for diazepam, midazolam, flunitrazepam and clozapine, 5-100 ng/mL for lorazepam and alprazolam, 2-100 ng/mL for nitrazepam and clonazepam, and 0.2-100 ng/mL for estazolam, respectively, good linearities were obtained, correlation coefficients were 0.999 1-0.999 9, the lower limits of the quantifications ranged from 0.2 to 5 ng/mL, the extraction recovery rates were 81.12%-99.52%. The intra-day precision ［relative standard deviation （RSD）］ and accuracy （bias） were lower than 9.86% and 9.51%, respectively; the inter-day precision （RSD） and accuracy （bias） were lower than 8.74% and 9.98%, respectively. Nine drugs in urine samples showed good stability at ambient temperature and -20 ℃ within 15 days. The mass concentrations of alprazolam in urine samples obtained from 8 volunteers who took alprazolam tablets orally within 8-72 h after ingestions ranged from 6.54 to 88.28 ng/mL. Conclusion The supramolecular solvent extraction GC-MS/MS method for analysis of 9 benzodiazepines in urines provided by this study is simple, fast, accurate and sensitive, which can provide technical support for monitoring of poisoning by benzodiazepines for clinical treatment and judicial identification.
Benzodiazepines ; Chromatography, Liquid ; Gas Chromatography-Mass Spectrometry ; Humans ; Solvents ; Tandem Mass Spectrometry