Objective:To establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the determination of N-desalkylquetiapine, hydroxybupropion, N-desmethyl clozapine, N-desmethyl clomipramine, O-desmethyvenlafaxine and dehydro aripiprazole in human plasma.Methods:In June 2023, plasma samples were treated with methanol-acetonitrile (volume ratio of 1∶1) for protein precipitation and then detected by LC-MS/MS. It was separated by C18 column and eluted with 5 mmol/L ammonium acetate water and 5 mmol/L ammonium acetate methanol solution as mobile phase gradient. The metabolites of six psychotropic drugs were qualitatively and quantitatively by using electrospray positive ion multi-reactive ion monitoring scanning mode (MRM) .Results:The linear relationships of six psychotropic drug metabolites were good in the concentration range of 2-100 μg/L. The linear correlation coefficients were 0.9971-0.9999, the limits of quantification of the method were 0.10-6.00 μg/L, and the inter-and intra-day precision were 4.6%-9.8% and 1.5%-8.6%, with the recoveries of the spiked standards ranged from 90.0% to 106.1%.Conclusion:The LC-MS/MS method for the determination of metabolites of six psychotropic drugs in human plasma is simple, rapid and sensitive, and can be used for the qualitative and quantitative determination of metabolites in plasma samples of patients suspected of psychotropic drug poisoning.

Objective:To analyze the latent profile characteristics of self-management ability in patients with metabolic-associated fatty liver disease (MAFLD) and explore its influencing factors.Methods:This was a cross-sectional study. A total of 311 patients with metabolic-associated fatty liver disease (MAFLD) were selected from the First Affiliated Hospital of Sun Yat-sen University (including those receiving treatment and undergoing physical examinations) between August and October 2024. Data were collected using a general information questionnaire, the self-management Scale for Patients with Non-Alcoholic Fatty Liver Disease, and the Social Support Rating Scale. After excluding 51 patients due to incomplete questionnaire responses or logical inconsistencies, 260 patients were finally included in the analysis. Latent profile analysis was used to identify potential categories of patients′ self-management abilities. With the latent categories as the dependent variable and items with P<0.05 in univariate analysis as independent variables, a multivariate logistic regression analysis (with the "poor self-management group" as the reference group) was performed to explore the influencing factors. Results:Among the 260 participants included in the study, three potential categories of self-management behaviors were finally identified, namely the active self-management group with 106 cases (40.8%), the moderate self-management group with 118 cases (45.4%), and the passive self-management group with 36 cases (13.8%).Results of multivariate logistic regression analysis showed that, compared with the passive self-management group:Patients who resided in rural areas ( OR=0.130, 95% CI: 0.040-0.420), often stayed up late ( OR=0.200, 95% CI: 0.060-0.590), or had an average daily sleep duration of≤5 hours ( OR=0.160, 95% CI: 0.050-0.510) had a significantly lower probability of belonging to the "active self-management group";In contrast, patients with an education level of senior high school or above ( OR=7.530, 95% CI: 1.740-34.160) or a higher total score of social support ( OR=1.120, 95% CI: 1.030-1.210) had a significantly higher probability of being in the "active self-management group" (all P<0.05). Conclusion:There is heterogeneity in self-management ability among patients with metabolic associated fatty liver disease (MAFLD). Residential area, educational level, frequency of staying up late, average daily sleep duration, and social support are influencing factors of patients′ self-management ability.

Objective The purpose of writing the"expert consensus on humanistic care for patients in hospice care"(hereinafter referred to as the"consensus")aims to standardize the practice of humanistic care in the field of hospice care,ensuring that humanistic care is integrated throughout the entire service process for hospice care patients and their families.Methods A systematic search was conducted in domestic and foreign databases for literature related to hospice care and humanistic care,including guidelines,expert consensuses,systematic reviews or Meta-analyses,and evidence summaries.High-quality evidence was evaluated,extracted,and summarized to form the initial draft of the"consensus".From June to October 2024,20 experts from the fields of hospice care,nursing humanities,and evidence-based nursing were invited to participate in 1 round of expert consultation.Among them,13 experts were selected for 2 rounds of expert demonstration meetings.After collating and analyzing the experts' opinions,the initial draft was revised and refined,ultimately resulting in the final version of the"consensus".Results The effective response rate of the consultation questionnaire was 100％,with expert authority coefficient of 0.880,judgment coefficient of 0.935,and familiarity level of 0.825.The Kendall harmony coefficient of the expert consultation was 0.134(P＜0.05).The"consensus"consisted of 13 aspects,including the targets and objectives,principles,institutional guarantees,environmental requirements,etc.Conclusion This"consensus"possesses strong scientific rigor and practicality,which can provide guidance and references for the practice of humanistic care in the field of hospice care,promoting the standardization and humanization of hospice care services.

Humanistic caring for patients in the operating room refers to providing the whole process of caring medical services for patients in the operating room. In order to standardize humanistic caring services for patients in the operating room of medical institutions, improve the comprehensive service level of the operating room, and enhance the surgical experience of patients, the Chinese Association for Life Care released the group standard " Humanistic Caring Management Standards for Patients in the Operating Room" in December 2023. This article interpreted the basic requirements for humanistic caring of patients in the operating room, the environment and facilities for humanistic caring, the procedures and measures for humanistic caring, and the quality management framework, aiming to assist administrators and clinical practitioners across various levels of medical institutions in accurately understanding and effectively implementing the standard, and to provide essential textual reference and practical guidance for promoting the application of the standard.

Objective:To develop an artificial intelligence (AI) calculation system for the effective withdrawal time of colonoscopy and to evaluate its clinical application value.Methods:First, 17 118 colonoscopy pictures from Renmin Hospital of Wuhan University were used for training and testing to establish a deep convolutional neural network model to recognize various colonoscopy fields. Then this model was integrated with the internal and external recognition model and cecum recognition model developed by the research group to create an AI system for automatic calculation of the effective withdrawal time. Finally, 944 colonoscopy videos from the Endoscopy Center of Renmin Hospital of Wuhan University from July 1, 2020 to October 10, 2020 were included in a retrospective analysis. AI automatic computing system was used to calculate the effective withdrawal time, and 89 of them were manually calculated to evaluate the accuracy of the AI automatic computing system. The remaining 855 cases were divided into two groups according to AI calculations, namely, the effective withdrawal time <6 min group ( n=615) and the effective withdrawal time ≥6 min group ( n=240), and the differences in the overall detection rate of adenoma and polyp were compared and analyzed. Results:The accuracy of AI automatic calculation system for effective withdrawal time reached 92.1% (82/89). The overall adenoma detection rate in the group with effective withdrawal time ≥6 min was 37.5% (90/240), that in the group with effective withdrawal time <6 min was 19.0% (117/615), and the difference was statistically significant ( χ2=32.11, P<0.001). The overall polyp detection rate in the group with effective withdrawal time ≥6 min was 75.0% (180/240), and that in the group with effective withdrawal time <6 min was 45.2% (278/615), with statistical significance ( χ2=61.62, P<0.001). Conclusion:AI automatic computing system can accurately calculate the effective withdrawal time of colonoscopy, and can be used to monitor the effective withdrawal time of clinical colonoscopy. In addition, effective withdrawal time ≥6 min can effectively improve the detection rate of adenoma and polyps.

Public health laboratory testing involves a wide range of sample types,complex matrices,diverse target analytes with varying concentrations,and multiple application contexts with different analytical requirements.As a critical step in public health laboratory analysis and testing,sample pretreatment plays a decisive role in ensuring the reproducibility and efficiency of the analytical methods.It directly affects the accuracy,sensitivity,and reliability of testing results,as well as the feasibility of downstream analyses.Traditional sample pretreatment techniques face persistent challenges,including low efficiency,limited throughput,restricted universal applicability,high organic solvent consumption,and poor compatibility with downstream analytical procedures.These limitations constrain their capacity to meet the evolving demands of research and practice in public health and preventive medicine.In recent years,technological advances have focused on improving efficiency and automation,enhancing selectivity and sensitivity,facilitating online testing capabilities,and promoting environmental sustainability.Sample pretreatment techniques in public health laboratory testing have been undergoing progressive upgrades,and numerous novel technologies have emerged.The paper provides a comprehensive review of new technologies and applications in the field.We focused on the development of new materials,the application of artificial intelligence,connections for online processing,and the approaches tailored to the demands of specific testing settings.We also discussed sample processing for omics analyses and mass spectrometry imaging methods relevant to public health laboratory testing.These advances are expected to support the development of greener and higher-throughput sample pretreatment and foster innovation in the public health laboratory testing system.

Objective To explore the effect of stratified out-of-hospital health management led by case health manager on the health behaviour ability of the patients with chronic diseases.Methods A convenience sampling method was employed to select 481 patients with chronic diseases who underwent physical examinations at outpatient department of a Tier-IIIA hospital from April 2022 to April 2023.A health management team led by case health managers conducted questionnaire survey to investigate the individual characteristics of the patients,established personal record based on the physical examination,and implemented stratified out-of-hospital health management for the patients.The intervention lasted for 12 months.The health behaviour ability and chronic disease self-management efficacy of the patients before and after the intervention were compared with.Results After the case manager-led stratified out-of-hospital health management,the health behaviour ability of patients with chronic diseases was stronger than that before the implementation,the self-management efficacy of chronic diseases was better than that before the implementation,and the patients'satisfaction was higher than that before the implementation(all P<0.001).Conclusion Stratified out-of-hospital health management led by a case health manager can improve the health behaviour ability and self-management efficacy of the patient with chronic diseases,thereby improve the patients'satisfaction.

Diamond-Blackfan anemia(DBA),also known as congenital pure red cell aplasia,is a rare genetic disorder characterized by bone marrow failure,congenital anomalies,and severe red blood cell abnormalities.The rarity of the condition,and consequently limited patient pool and scarcity of research models,means that the pathogenic mechanisms associated with genetic mutations in DBA remain uncertain,and the clinical treatment options are limited.This review synthesizes the findings from zebrafish,mouse,and human cellular models of DBA mutations.We clarify the pathogenic mechanisms and monitor the progression of drugs into clinical trials,thereby aiding further in-depth explorations into the etiology and therapeutic advancements for DBA.

AIM:To evaluate the pharmacokinet-ics(PK)and pharmacodynamics(PD)of two recom-binant human insulin injection by euglycemic clamp technology in healthy male subjects after a single subcutaneous injection.METHODS:We con-ducted a randomized,open-label,single dose,two period,crossover study.A total of 24 healthy male subjects were enrolled and randomized to receive single subcutaneous doses(0.2 U/kg)of the investi-gational products every period.The PK and PD characteristics were assessed by euglycemic clamp up to 14 hours after dosing.RESULTS:Euglycemic clamp technique was successfully established.C-peptide levels detected at each time point before and after administration indicated that endoge-nous insulin secretion was inhibited in the two groups after administration.The geometric mean ratio of Cmax and AUC0-tand 90％confidence interval(CI)of test preparation and reference preparation under fasting condition were in the range of 80.00％-125.00％.CONCLUSION:The human insulin produced by KP Biotech demonstrated similarity to the reference preparation Humulin? in PK and PD characteristics in healthy Chinese subjects.

Objective:To establish a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the determination of N-desalkylquetiapine, hydroxybupropion, N-desmethyl clozapine, N-desmethyl clomipramine, O-desmethyvenlafaxine and dehydro aripiprazole in human plasma.Methods:In June 2023, plasma samples were treated with methanol-acetonitrile (volume ratio of 1∶1) for protein precipitation and then detected by LC-MS/MS. It was separated by C18 column and eluted with 5 mmol/L ammonium acetate water and 5 mmol/L ammonium acetate methanol solution as mobile phase gradient. The metabolites of six psychotropic drugs were qualitatively and quantitatively by using electrospray positive ion multi-reactive ion monitoring scanning mode (MRM) .Results:The linear relationships of six psychotropic drug metabolites were good in the concentration range of 2-100 μg/L. The linear correlation coefficients were 0.9971-0.9999, the limits of quantification of the method were 0.10-6.00 μg/L, and the inter-and intra-day precision were 4.6%-9.8% and 1.5%-8.6%, with the recoveries of the spiked standards ranged from 90.0% to 106.1%.Conclusion:The LC-MS/MS method for the determination of metabolites of six psychotropic drugs in human plasma is simple, rapid and sensitive, and can be used for the qualitative and quantitative determination of metabolites in plasma samples of patients suspected of psychotropic drug poisoning.