OBJECTIVE To formulate the Expert Consensus on the Implementation and Management of Drug Selection for Centralized Volume-Based Procurement in Medical Institutions of Guangxi （hereinafter referred to as the “ Consensus ”）， and to provide decision-making support and practical guidance for the drug selection and management of centralized volume-based procurement （hereinafter referred to as “centralized procurement”） drugs in medical institutions at all levels in Guangxi. METHODS A systematic review was conducted on the materials from previous batches of centralized procurement implemented in Guangxi. A comprehensive search was carried out for drug-related works and books， along with a systematic collation of guidelines on drug selection， expert consensus on centralized procurement， and policy documents. Through three rounds of specialized seminars， combined with existing evidence-based data and the practical drug selection experiences of medical institutions at various levels， this Consensus was formulated after thorough discussion and successive rounds of revision. RESULTS & CONCLUSIONS The Consensus systematically outlines the three key stages in the implementation of centralized procurement in medical institutions： procurement volume reporting， confirmation of agreed procurement volume， and procurement and usage implementation. It proposes drug selection strategies for centralized procurement bas ed on multiple dimensions， including specifications， dosage forms， packaging materials， fill volume， and manufacturing enterprises. In response to practical challenges encountered in the selection process， corresponding countermeasures are proposed， such as establishing a regularized information reserve mechanism， strengthening information technology support， and implementing categorized selection approaches. The Consensus advocates for medical institutions to construct an integrated “policy， data， and quality” decision-making system to promote full-cycle management of centralized procurement. This Consensus will provide scientific and practical guidance for medical institutions at all levels in Guangxi in the drug selection of centralized procurement， facilitating the smooth implementation and sustainable development of centralized procurement policies at the institutional level.

OBJECTIVE To construct a closed-loop management model for externally dispensed intravenous prescriptions， and to provide reference for standardized management of externally dispensed intravenous prescriptions. METHODS Based on the Expert Consensus on Closed-loop Management of Externally Dispensed Intravenous Prescriptions in Guangxi Zhuang Autonomous Region previously formulated by our hospital， risk points during the entire process were systematically identified through multidisciplinary team brainstorming and a fishbone diagram. A series of strategies were subsequently formulated and implemented， including qualifying designated external dispensing pharmacies and the drug catalogs， operating and maintaining the hospital information system and the Pharmacy Intravenous Admixture Service （PIVAS） intelligent management platform， and strengthening differentiated training for staff in the whole workflow. A whole-process closed-loop management system was constructed with PIVAS as the co re hub and the daytime chemotherapy center as the safety terminal. RESULTS A total of 3 cooperating pharmacies and an initial drug list comprising 35 product specifications were selected. A closed‑loop management process encompassing hospital outpatient prescribing， patient drug purchase in designated pharmacies， PIVAS drug dispensing， and medication use in daytime chemotherapy center was successfully established. This system enabled the mandatory grouping and association of externally dispensed intravenous prescriptions with in-hospital diluents， full-process verification based on drug traceability codes， intelligent monitoring of infusion parameters， and whole-process data traceability. CONCLUSIONS The constructed model effectively resolves the coordination and safety oversight during the use of externally dispensed intravenous drugs from out-of-hospital circulation to in-hospital use， and has preliminarily enabled procedural standardization， whole-process information traceability， and proactive control of medication risks.

Objective:to investigate age-related changes in high-sensitivity cardiac troponin T(hs-cTnT)levels among middle-aged and elderly individuals, and to establish reference values for the 99th percentile upper reference limit(99th URL)of hs-cTnT within this demographic.Methods:This research is designed as a cross-sectional study.Hs-cTnT test results were collected from outpatients at Beijing Hospital between January 2018 and December 2023.The final sample included 5, 677 outpatients aged 45 to 85 years(65±10), all of whom were free from cardiovascular diseases and other chronic heart-related conditions.Multiple linear regression was utilized to assess the impact of gender and age group on hs-cTnT concentrations within the middle-aged and elderly populations.Furthermore, a generalized additive model for location, scale, and shape(GAMLSS)was employed to generate percentile curves of hs-cTnT by gender in this cohort, with the aim of determining the 99th URLs for both middle-aged and elderly individuals.Results:Multiple linear regression analyses indicated that both gender and age significantly influenced hs-cTnT levels in middle-aged and elderly populations( β60-69 years=1.399, β≥70 years=5.306, βgender=-2.650, all Pvalues<0.001).The hs-cTnT data for both males and females conformed to Box-Cox-Cole-Green(BCCG)distributions, with percentile curves fitted at the 25th, 50th, 75th, and 99th percentiles according to gender.The percentile values of hs-cTnT in both males and females demonstrated a progressive increase with advancing age.Notably, males exhibited higher 99th percentile values than females across all age groups. Conclusions:The GAMLSS approach is employed to establish continuous reference intervals for hs-cTnT in the middle-aged and elderly population.This effort aims to provide a theoretical foundation for reference values specific to this demographic in China and to offer guidance for clinical diagnosis and treatment.

Objective: To investigate the impact of milk and egg supplementation on body composition and bone mineral density of rural primary school students in Yunnan Province, so as to provide a reference for developing targeted nutritional intervention strategies. Methods: In December 2023, a cluster sampling method was adopted to select students from grades one to three in four primary schools each from Jinggu and Shidian countys of Yunnan Province, as the intervention group (662 students). Additionally, two boarding primary schools were selected from each county based on the principle of matching scale and student numbers as the control group (455 students). Starting from April 2023, the intervention group received 200 mL milk and 50 g eggs during the break on school days for 8 months, while the control group maintained their usual diet behavior. Body composition was measured by using bioelectrical impedance analysis, and distal radial bone mineral density was assessed via dual energy X-ray absorptiometry in April and December 2023. The intervention effects were analyzed by using a difference in-differences approach. Results: The final measurements of body fat percentage, skeletal muscle mass and fat free mass of the intervention group and the control group of primary school students were significantly higher than the baseline values, and the net effect of milk and egg intervention on these body composition indicators was not statistically significant ( P >0.05, both before and after adjustment). In contrast, bone mineral density increased significantly by 0.02 g/cm 2 in the intervention group. The net intervention effect on bone mineral density was statistically significant ( β=0.02, 95%CI =0.00-0.04), and remained significant after model adjustment ( β=0.02, 95%CI =0.00-0.04) (both P < 0.05). Subgroup analysis showed statistically significant effects of the intervention among girls ( β=0.02, 95%CI =0.00-0.04), day students ( β=0.04, 95%CI =0.01-0.07), and students with normal nutritional status ( β=0.02, 95%CI =0.00-0.04) (all P <0.05). No significant effect of milk and egg supplementation was observed on body composition indicators (all P <0.05). Conclusions Milk and egg supplementation can improve bone mineral density among rural primary school students in Yunnan Province. It is recommended that rural school aged children should increase intake of milk and eggs to support growth and development.

Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network between participants with subjective cognitive decline (SCD) and healthy individuals, and to analyze the correlations of the volumes of the different subfields and altered covariance brain regions with memory function.Methods:A total of 57 SCD individuals(SCD group) and 44 normal controls(NC group) participants were assessed for memory function using composite scores from the auditory verbal learning test (AVLT) and the Wechsler memory scale visual reproduction (VR) test from June 2022 to October 2023.T1-weighted structural magnetic resonance imaging (MRI) data were collected from all participants, and hippocampal subfields, cortical regions, and subcortical nuclei were segmented using FreeSurfer to measure the gray matter volume of each structure. A structural covariance network was constructed based on the correlation of gray matter volumes across regions. Statistical analysis was performed using R 4.3.1 software. Inter-group differences in hippocampal subfield volumes were compared using multivariate analysis of covariance. Differences in structural covariance connectivity between groups were assessed using Z-test, while network topology differences were compared through permutation testing. Finally, partial correlation analysis was used to examine correlation of the volumes of the differential hippocampal subfields and covariance brain regions with memory function. Results:The SCD group exhibited significantly lower years of education, AVLT-immediate score, AVLT-delayed score, VR-immediate score, VR-delayed score, and memory function Z-score compared to the NC group ( t=2.064, 3.888, 2.622, 3.222, 4.761, 5.184, all P<0.05). The volumes of the right subiculum((387.75±55.20)mm 3, (352.70±70.25)mm 3), left presubiculum((263.12±38.52)mm 3, (239.79±46.02)mm 3), left subiculum((388.12±49.34)mm 3, (351.74±67.30)mm 3) and left CA1((571.01±80.01)mm 3, (526.51±98.80)mm 3) in the SCD group were smaller than the corresponding volumes in NC group ( F=9.139, 8.039, 11.207, 7.266, all P<0.05, FDR correction). Differences in structural covariance connectivity were found between the SCD and NC groups in the following pairs: right CA1-right subiculum, right CA1-left subiculum, right CA3-left parasubiculum and right hippocampus-amygdala transition area-left subiculum ( Z=-3.848, -3.896, -3.597, -3.895, all P<0.05, FDR correction).Partial correlation analysis revealed that in the SCD group, the volume of the left subiculum ( r=0.359, P=0.007), left CA1 ( r=0.430, P=0.001), right entorhinal cortex ( r=0.296, P=0.029), right middle temporal gyrus ( r=0.361, P=0.007), right parahippocampal gyrus ( r=0.313, P=0.021)were positively correlated with the total memory function score. Conclusion:Hippocampal subfields atrophy, as well as alterations in structural covariance network, have been found in SCD individuals. Furthermore, the decline in memory function may be closely associated with atrophy in hippocampal subfields and structurally covariant regions.

Objective:To investigate the differences in hippocampal subfield volumes and structural covariance network between participants with subjective cognitive decline (SCD) and healthy individuals, and to analyze the correlations of the volumes of the different subfields and altered covariance brain regions with memory function.Methods:A total of 57 SCD individuals(SCD group) and 44 normal controls(NC group) participants were assessed for memory function using composite scores from the auditory verbal learning test (AVLT) and the Wechsler memory scale visual reproduction (VR) test from June 2022 to October 2023.T1-weighted structural magnetic resonance imaging (MRI) data were collected from all participants, and hippocampal subfields, cortical regions, and subcortical nuclei were segmented using FreeSurfer to measure the gray matter volume of each structure. A structural covariance network was constructed based on the correlation of gray matter volumes across regions. Statistical analysis was performed using R 4.3.1 software. Inter-group differences in hippocampal subfield volumes were compared using multivariate analysis of covariance. Differences in structural covariance connectivity between groups were assessed using Z-test, while network topology differences were compared through permutation testing. Finally, partial correlation analysis was used to examine correlation of the volumes of the differential hippocampal subfields and covariance brain regions with memory function. Results:The SCD group exhibited significantly lower years of education, AVLT-immediate score, AVLT-delayed score, VR-immediate score, VR-delayed score, and memory function Z-score compared to the NC group ( t=2.064, 3.888, 2.622, 3.222, 4.761, 5.184, all P<0.05). The volumes of the right subiculum((387.75±55.20)mm 3, (352.70±70.25)mm 3), left presubiculum((263.12±38.52)mm 3, (239.79±46.02)mm 3), left subiculum((388.12±49.34)mm 3, (351.74±67.30)mm 3) and left CA1((571.01±80.01)mm 3, (526.51±98.80)mm 3) in the SCD group were smaller than the corresponding volumes in NC group ( F=9.139, 8.039, 11.207, 7.266, all P<0.05, FDR correction). Differences in structural covariance connectivity were found between the SCD and NC groups in the following pairs: right CA1-right subiculum, right CA1-left subiculum, right CA3-left parasubiculum and right hippocampus-amygdala transition area-left subiculum ( Z=-3.848, -3.896, -3.597, -3.895, all P<0.05, FDR correction).Partial correlation analysis revealed that in the SCD group, the volume of the left subiculum ( r=0.359, P=0.007), left CA1 ( r=0.430, P=0.001), right entorhinal cortex ( r=0.296, P=0.029), right middle temporal gyrus ( r=0.361, P=0.007), right parahippocampal gyrus ( r=0.313, P=0.021)were positively correlated with the total memory function score. Conclusion:Hippocampal subfields atrophy, as well as alterations in structural covariance network, have been found in SCD individuals. Furthermore, the decline in memory function may be closely associated with atrophy in hippocampal subfields and structurally covariant regions.

Objective:to investigate age-related changes in high-sensitivity cardiac troponin T(hs-cTnT)levels among middle-aged and elderly individuals, and to establish reference values for the 99th percentile upper reference limit(99th URL)of hs-cTnT within this demographic.Methods:This research is designed as a cross-sectional study.Hs-cTnT test results were collected from outpatients at Beijing Hospital between January 2018 and December 2023.The final sample included 5, 677 outpatients aged 45 to 85 years(65±10), all of whom were free from cardiovascular diseases and other chronic heart-related conditions.Multiple linear regression was utilized to assess the impact of gender and age group on hs-cTnT concentrations within the middle-aged and elderly populations.Furthermore, a generalized additive model for location, scale, and shape(GAMLSS)was employed to generate percentile curves of hs-cTnT by gender in this cohort, with the aim of determining the 99th URLs for both middle-aged and elderly individuals.Results:Multiple linear regression analyses indicated that both gender and age significantly influenced hs-cTnT levels in middle-aged and elderly populations( β60-69 years=1.399, β≥70 years=5.306, βgender=-2.650, all Pvalues<0.001).The hs-cTnT data for both males and females conformed to Box-Cox-Cole-Green(BCCG)distributions, with percentile curves fitted at the 25th, 50th, 75th, and 99th percentiles according to gender.The percentile values of hs-cTnT in both males and females demonstrated a progressive increase with advancing age.Notably, males exhibited higher 99th percentile values than females across all age groups. Conclusions:The GAMLSS approach is employed to establish continuous reference intervals for hs-cTnT in the middle-aged and elderly population.This effort aims to provide a theoretical foundation for reference values specific to this demographic in China and to offer guidance for clinical diagnosis and treatment.

Objective:To construct an artificial intelligence (AI)-assisted system based on deep learning for corneal in vivo confocal microscopy (IVCM) image recognition and to evaluate its value in clinical applications. Methods:A diagnostic study was conducted.A total of 18 860 corneal images were collected from 331 subjects who underwent IVCM examination at Renmin Hospital of Wuhan University and Zhongnan Hospital of Wuhan University from May 2021 to September 2022.The collected images were used for model training and testing after being reviewed and classified by corneal experts.The model design included a low-quality image filtering model, a corneal image diagnosis model, and a 4-layer identification model for corneal epithelium, Bowman membrane, stroma, and endothelium, to initially determine normal and abnormal corneal images and corresponding corneal layers.A human-machine competition was conducted with another 360 database-independent IVCM images to compare the accuracy and time spent on image recognition by three senior ophthalmologists and the AI system.In addition, 8 trainees without IVCM training and with less than three years of clinical experience were selected to recognize the same 360 images without and with model assistance to analyze the effectiveness of model assistance.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2021-K148).Results:The accuracy of this diagnostic model in screening high-quality images was 0.954.Its overall accuracy in identifying normal/abnormal corneal images was 0.916 and 0.896 in the internal and external test sets, respectively.Its accuracy reached 0.983, 0.925 in the internal test sets and 0.988, 0.929 in the external test sets in identifying corneal layers of normal and abnormal images, respectively.In the human-machine competition, the overall recognition accuracy of the model was 0.878, which was similar to the average accuracy of the three senior physicians and was approximately 300 times faster than the experts in recognition speed.Trainees assisted by the system achieved an accuracy of 0.816±0.043 in identifying corneal layers of normal and abnormal images, which was significantly higher than 0.669±0.061 without model assistance ( t=6.304, P<0.001). Conclusions:A deep learning-based assistant system for corneal IVCM image recognition is successfully constructed.This system can discriminate normal/abnormal corneal images and diagnose the corresponding corneal layer of the images, which can improve the efficiency of clinical diagnosis and assist doctors in training and learning.

Clinical application of mass spectrometry technology has attracted the attention of clinical laboratory experts due to its high sensitivity, high specificity, and capacities of simultaneous detection of multiple compounds. In recent years, mass spectrometry technology has made significant achievements in the fields of identification of pathogenic microorganism, detection of trace elements and heavy metals, small molecule hormones, vitamins, amino acids, peptides and proteins, as well as therapeutic drug monitoring (TDM) and poisoning drugs screening. In order to further clarify the opportunities and challenges brought by this complex mass spectrometry technology in the field of clinical laboratory, the Chinese Journal of Laboratory Medicine invited experts and scholars of laboratory medicine to share their experience and opinions on related items focusing on the positioning of mass spectrometry technology in the clinical laboratory, the development and improvement of the clinical laboratory by mass spectrometry technology, the challenges of interpreting mass spectrometry test results, the challenges of operating and managing clinical mass spectrometry laboratories, and ways of improving the application of clinical mass spectrometry laboratories with this technology. Agreement was achieved in that the introduction of mass spectrometry technology into the clinical laboratory could bring new directions and opportunities for clinical testing and research, and also is associated with a series of challenges such as the difficulty of sample pretreatment, the high cost and complexity of mass spectrometry technology, the complexity of data processing and interpretation, the lack of standards and norms, and the issue of determining the price of mass spectrometry examinations.

Objective:To investigate the application effect of research-assisted teaching mode in histology teaching by taking the construction of rat spinal cord injury model as an example.Methods:A convenient sampling method was used to select 52 freshmen majoring in clinical medicine of grade 2020 in our school as the research subjects.They were randomly divided into the conventional teaching group and the research-assisted teaching group,with 26 students in each group.The conventional teaching group received traditional classroom teaching combined with experimental teaching.On this basis,research elements were added to the experimental teaching in the research-assisted teaching group to provide more in-depth research methods and experimental design,so as to cultivate students'research abilities.The theoretical assessment and practical skills assessment of histology course were compared between the two groups.A subjective evaluation questionnaire on experimental animal models teaching was used to evaluate the advantages of teaching programs in three dimensions:psychological quality training,technical skill enhancement,and theoretical knowledge expansion.The research abilities of the two groups were compared.Pearson correlation analysis was used to analyze the correlation between research ability scores and comprehensive scores.Results:The usual score and comprehensive score in the research-assisted teaching group were significantly higher than those in the conventional teaching group(P＜0.05).The scores of adaptability to challenging tasks,determination and perseverance in problem-solving,communication skills in teamwork,literature reading,integration of practical experience with theoretical knowledge,practical application value of the course,and innovation of teaching resources in the research-assisted teaching group were higher than those in the conventional teaching group(P＜0.05).The scores in experimental design ability,background knowledge in literature review,communication and reporting skills,awareness of evidence-based medicine,and overall research ability in the research-assisted teaching group were higher than those in the conventional teaching group(P＜0.05).The total score of students'research abilities was positively correlated with comprehensive scores(r=0.716,P＜0.01).Conclusions:The application of research-assisted teaching significantly improved students'research abilities in histology teaching.The enhancement of research abilities can promote the mastery of theoretical knowledge and the improvement of experimental skills.