Objective:To establish a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for the fast determination of maduramicin ammonium (MAD) in rat serum.Methods:In February 2024, rat serum samples were selected and directly injected after extraction and purification with methanol: acetonitrile (1: 1), separated on a C18 chromatographic column, and gradient-eluted using 0.1% formic acid aqueous solution -0.1% formic acid methanol solution as the mobile phase. Under optimized instrument conditions, electrospray positive ion multiple reaction monitoring (MRM) mode was employed for quantification using the external standard method, followed by methodological validation of the established approach.Results:The linearity of MAD in serum was good in the concentration range of 0.5-100 μg/L, and the correlation coefficient was 0.9997. The mean recoveries of MAD from spiked samples were 86.0%-109.6%, with the relative standard deviations were less than 10%. The limit of detection was 0.23 μg/L, The limit of detection was 0.75 μg/L.Conclusion:This method is high sensitive and reliable, which is suitable for the determination of MAD in in mouse serum.

Objective:To establish a high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) method for the fast determination of maduramicin ammonium (MAD) in rat serum.Methods:In February 2024, rat serum samples were selected and directly injected after extraction and purification with methanol: acetonitrile (1: 1), separated on a C18 chromatographic column, and gradient-eluted using 0.1% formic acid aqueous solution -0.1% formic acid methanol solution as the mobile phase. Under optimized instrument conditions, electrospray positive ion multiple reaction monitoring (MRM) mode was employed for quantification using the external standard method, followed by methodological validation of the established approach.Results:The linearity of MAD in serum was good in the concentration range of 0.5-100 μg/L, and the correlation coefficient was 0.9997. The mean recoveries of MAD from spiked samples were 86.0%-109.6%, with the relative standard deviations were less than 10%. The limit of detection was 0.23 μg/L, The limit of detection was 0.75 μg/L.Conclusion:This method is high sensitive and reliable, which is suitable for the determination of MAD in in mouse serum.

Background Individuals may experience significant alterations in sleep hygiene during the major public health emergencies,consequently impacting their sleep quality.Objective To explore the relationship between sleep quality and sleep hygiene among adult residents during the major public health emergencies,so as to provide references for improving the sleep quality of residents during such a period.Methods A sample of 1 364 adult residents were enrolled as the research subjects from February 20 to 29,2020.All participants were asked to complete self-administered questionnaire to obtain basic-demographic information and sleep hygiene.Pittsburgh Sleep Quality Index(PSQI)was applied to assess sleep quality.Residents were classified into poor sleepers with PSQI score≥8 and good sleepers defined as PSQI score<8.Binary Logistic regression analysis was conducted to identify factors associated with sleep quality.Radar chart was used to visualize and compare the sleep hygiene between poor sleepers and good sleepers.Results According to PSQI score,891(65.32%)residents were good sleepers,while 473(34.68%)residents were poor sleepers.Comparison revealed that age(χ2=3.887),past medical history(χ2=27.938),awareness rate of importance of sleeping before major public health emergencies(χ2=4.337),impact of sleep quality on quality of life during the major public health emergencies(χ2=178.138),frequency of staying up late during the major public health emergencies(χ2=139.390),compensatory sleep behaviors(χ2=39.257),impact of sleep problems on daytime functioning(χ2=285.879),change of bedtime(χ2=63.031),sleep latency(χ2=168.672),wake-up time(χ2=59.221),changes in sleep duration(χ2=172.332),time spent in the bedroom(χ2=23.071),and sum of money spent on improving sleep environment(χ2=58.584)yielded statistical difference between poor sleepers and good sleepers(P<0.05 or 0.01).Logistic regression analysis denoted that past medical history(OR=1.680,95%CI:1.185～2.382),negative impact of sleep quality on quality life(OR=4.181,95%CI:2.722～6.422),staying up late 3 to 4 times per week(OR=3.145,95%CI:1.497～6.605),staying up late almost every day(OR=4.271,95%CI:1.970～9.260),negative impact of sleep problems on daytime functioning(OR=7.169,95%CI:5.188～9.907),prolonged sleep latency(OR=2.836,95%CI:2.019～3.982)and shortened sleep duration(OR=3.518,95%CI:2.144～5.772)were risk factors of poor sleep quality.The sum of money spent on improving sleep environment following the major public health emergencies≤500 RMB(OR=0.334,95%CI:0.134～0.830)was related to the incidence rate of poor sleep quality.Radar chart showed that poor sleepers were characterized by extravagant concerns,excessive cleanliness and poor sleep hygiene practices during the major public health emergencies,and poor sleepers were more likely to stay up late due to stress and emotional issues.Conclusion Some residents are facing poor sleep quality during the major public health emergencies,and poor sleep hygiene practice also contributes to poor sleep quality.

To establish the experts consensus on the management of delirium in critically ill patients.A special committee was set up by 15 experts from the Chinese Critical Hypothermia-Sedation Therapy Study Group.Each statement was assessed based on the GRADE (Grading of Recommendations Assessment,Development,and Evaluation) principle.Then the Delphi method was adopted by 36 experts to reassess all the statements.(1) Delirium is not only a mental change,but also a clinical syndrome with multiple pathophysiological changes.(2) Delirium is a form of disturbance of consciousness and a manifestation of abnormal brain function.(3) Pain is a common cause of delirium in critically ill patients.Analgesia can reduce the occurrence and development of delirium.(4) Anxiety or depression are important factors for delirium in critically ill patients.(5) The correlation between sedative and analgesic drugs and delirium is uncertain.(6) Pay attention to the relationship between delirium and withdrawal reactions.(7) Pay attention to the relationship between delirium and drug dependence/ withdrawal reactions.(8) Sleep disruption can induce delirium.(9) We should be vigilant against potential risk factors for persistent or recurrent delirium.(10) Critically illness related delirium can affect the diagnosis and treatment of primary diseases,and can also be alleviated with the improvement of primary diseases.(11) Acute change of consciousness and attention deficit are necessary for delirium diagnosis.(12) The combined assessment of confusion assessment method for the intensive care unit and intensive care delirium screening checklist can improve the sensitivity of delirium,especially subclinical delirium.(13) Early identification and intervention of subclinical delirium can reduce its risk of clinical delirium.(14) Daily assessment is helpful for early detection of delirium.(15) Hopoactive delirium and mixed delirium are common and should be emphasized.(16) Delirium may be accompanied by changes in electroencephalogram.Bedside electroencephalogram monitoring should be used in the ICU if conditions warrant.(17) Pay attention to differential diagnosis of delirium and dementia/depression.(18) Pay attention to the role of rapid delirium screening method in delirium management.(19) Assessment of the severity of delirium is an essential part of the diagnosis of delirium.(20) The key to the management of delirium is etiological treatment.(21) Improving environmental factors and making patient comfort can help reduce delirium.(22) Early exercise can reduce the incidence of delirium and shorten the duration of delirium.(23) Communication with patients should be emphasized and strengthened.Family members participation can help reduce the incidence of delirium and promote the recovery of delirium.(24) Pay attention to the role of sleep management in the prevention and treatment of delirium.(25) Dexmedetomidine can shorten the duration of hyperactive delirium or prevent delirium.(26) When using antipsychotics to treat delirium,we should be alert to its effect on the heart rhythm.(27) Delirium management should pay attention to brain functional exercise.(28) Compared with non-critically illness related delirium,the relief of critically illness related delirium will not accomplished at one stroke.(29) Multiple management strategies such as ABCDEF,eCASH and ESCAPE are helpful to prevent and treat delirium and improve the prognosis of critically ill patients.(30) Shortening the duration of delirium can reduce the occurrence of long-term cognitive impairment.(31) Multidisciplinary cooperation and continuous quality improvement can improve delirium management.Consensus can promote delirium management in critically ill patients,optimize analgesia and sedation therapy,and even affect prognosis.