Objective:To establish a practical patient-based internal quality control method for valproic acid drug concentration monitoring.Methods:Observational Study. A PBRTQC model based on the exponentially weighted moving average (EWMA) method was established using Python. All results of a total of 28, 757 valproic acid concentration data from February 1, 2023 to January 31, 2024 were collected and split into training set and validation set at a ratio of 80% and 20% respectively. The truncation limit (TL) was optimized by using the winsorized mean method and the trimmed mean method. Different weighting coefficients λ were set. Different TL and different λ were combined with the EWMA algorithm into different patient-based real-time quality control (PBRTQC) models. The optimized models were verified by introducing simulated constant errors (CE) and proportional errors (PE) respectively. The false positive alarm rate (FAR) was used to evaluate specificity, and the average number of patients before error detection (ANPed) was used to evaluate sensitivity. According to the daily test volume and quality target requirements, we comprehensively judged whether the performance evaluation indicators of FAR and ANPed meet the laboratory requirements. Bias detection curve was used for determination of the best model.Results:The parameters of the best PBRTQC model for valproic acid drug concentration monitoring are: trimmed mean method with 1.5 standard deviations (i.e., truncating data outside 1.5 standard deviations of the data mean), λ=0.01. The performance verification result shows that ANPed of CE and PE of this model are both less than 100. The comparison between the EQA results and the EWMA results show that the EWMA method results are comparable to the EQA results.Conclusion:A PBRTQC model for the valproic acid drug concentration monitoring project based on the EWMA method has been successfully established. It is comparable with both IQC and EQA results, which means PBRTQC may be used as a supplement to the quality control of daily quality control products.

Psychotropic medication plays a crucial role in the field of mental illness,and the issues of drug efficacy and safety due to individual differences cannot be ignored.Genetic factors,especially the genetic poly-morphisms related to drug-metabolizing enzymes,drug action targets,and risk,have a significant impact on drug responses.Pharmacogenomics,by detecting genetic polymorphisms,can reveal a patient's inherited tend-encies towards drug efficacy,pharmacokinetic characteristics,and potential toxicity,thereby predicting the therapeutic effects and adverse reactions of drug treatment,and providing guidance for personalized therapy.Therefore,individualized medication based on pharmacogenomics helps to improve cure rates,reduce relapse rates,and decrease medical costs,which is of great significance to clinical medication in mental illness.

Objective To investigate the interference of varying degrees of lipemia on serum lithium(Li)measurement using the phosphatase method and explore effective mitigation strategies.Methods A pooled sample of severe lipemic serum without lithium was collected and concentrated to obtain lipemic serum concentrate.A pooled serum sample from patients with normal lipid levels taking lithium carbonate was used for triglyceride(TG)interference experiments.Additionally,28 serum samples from patients not taking lithium carbonate were collected.Based on the results of TG interference experiments,the maximum TG concentration that did not interfere with serum lithium measurement was determined as the target concentration for dilution,and the corresponding dilution factor was calculated.Lithium solution was added to each sample to determine the theoretical lithium concentration.Samples were divided into three groups and analyzed using direct detection,physiological saline dilution,and high-speed centrifugation(13 000 r/min,10 min).The results obtained from different methods were compared.Results Lipemic serum with TG concentrations>4.77mmol/L interfered with lithium measurement by the phosphatase method.The physiological saline dilution method showed the largest deviation(t=10.87,P<0.000 1)and significant differences from theoretical values,making it unsuitable for accurate measurement.In contrast,the high-speed centrifugation method provided results closest to the theoretical values(t=2.97,P=0.036 9)with higher accuracy.Although the direct detection method was highly correlated with the high-speed centrifugation method(r=0.976 5,P<0.000 1),with a significant mean difference remained(t=5.37,P<0.000 1).Conclusion For lipemic serum samples with TG concentrations>4.77mmol/L,the physiological saline dilution method should be avoided due to its inaccuracy.High-speed centrifugation effectively removes lipemic interference,yielding results closer to theoretical values,and is recommended as the optimized method for serum lithium measurement in lipemic samples.

Objective To investigate the interference of varying degrees of lipemia on serum lithium(Li)measurement using the phosphatase method and explore effective mitigation strategies.Methods A pooled sample of severe lipemic serum without lithium was collected and concentrated to obtain lipemic serum concentrate.A pooled serum sample from patients with normal lipid levels taking lithium carbonate was used for triglyceride(TG)interference experiments.Additionally,28 serum samples from patients not taking lithium carbonate were collected.Based on the results of TG interference experiments,the maximum TG concentration that did not interfere with serum lithium measurement was determined as the target concentration for dilution,and the corresponding dilution factor was calculated.Lithium solution was added to each sample to determine the theoretical lithium concentration.Samples were divided into three groups and analyzed using direct detection,physiological saline dilution,and high-speed centrifugation(13 000 r/min,10 min).The results obtained from different methods were compared.Results Lipemic serum with TG concentrations>4.77mmol/L interfered with lithium measurement by the phosphatase method.The physiological saline dilution method showed the largest deviation(t=10.87,P<0.000 1)and significant differences from theoretical values,making it unsuitable for accurate measurement.In contrast,the high-speed centrifugation method provided results closest to the theoretical values(t=2.97,P=0.036 9)with higher accuracy.Although the direct detection method was highly correlated with the high-speed centrifugation method(r=0.976 5,P<0.000 1),with a significant mean difference remained(t=5.37,P<0.000 1).Conclusion For lipemic serum samples with TG concentrations>4.77mmol/L,the physiological saline dilution method should be avoided due to its inaccuracy.High-speed centrifugation effectively removes lipemic interference,yielding results closer to theoretical values,and is recommended as the optimized method for serum lithium measurement in lipemic samples.

Objective:To establish a practical patient-based internal quality control method for valproic acid drug concentration monitoring.Methods:Observational Study. A PBRTQC model based on the exponentially weighted moving average (EWMA) method was established using Python. All results of a total of 28, 757 valproic acid concentration data from February 1, 2023 to January 31, 2024 were collected and split into training set and validation set at a ratio of 80% and 20% respectively. The truncation limit (TL) was optimized by using the winsorized mean method and the trimmed mean method. Different weighting coefficients λ were set. Different TL and different λ were combined with the EWMA algorithm into different patient-based real-time quality control (PBRTQC) models. The optimized models were verified by introducing simulated constant errors (CE) and proportional errors (PE) respectively. The false positive alarm rate (FAR) was used to evaluate specificity, and the average number of patients before error detection (ANPed) was used to evaluate sensitivity. According to the daily test volume and quality target requirements, we comprehensively judged whether the performance evaluation indicators of FAR and ANPed meet the laboratory requirements. Bias detection curve was used for determination of the best model.Results:The parameters of the best PBRTQC model for valproic acid drug concentration monitoring are: trimmed mean method with 1.5 standard deviations (i.e., truncating data outside 1.5 standard deviations of the data mean), λ=0.01. The performance verification result shows that ANPed of CE and PE of this model are both less than 100. The comparison between the EQA results and the EWMA results show that the EWMA method results are comparable to the EQA results.Conclusion:A PBRTQC model for the valproic acid drug concentration monitoring project based on the EWMA method has been successfully established. It is comparable with both IQC and EQA results, which means PBRTQC may be used as a supplement to the quality control of daily quality control products.

Objective:To explore the mechanism of anti anxiety (AD) effect of Shenqi Schisandra chinensis using network pharmacology and molecular docking technology.Methods:The main active ingredients of S-Q-W-W-Z (Shenqi Schisandra chinensis) were screened through the TCMSP database. The corresponding targets of the active ingredients were obtained through the TCMSP database and SymMap database. The drug active ingredient target relationship network was visualized using Cytoscape. Utilize TTD, OMIM, NCBI, Drugbank, and GeneCards databases to directly identify potential targets for anxiety. We constructed interaction diagrams of potential targets based on the String database, and used Cytoscape tool to obtain key target proteins. Gene ontology (GO) enrichment analysis and Tokyo Encyclopedia of Genomes (KEGG) signaling pathway analysis were used to identify key targets and signaling pathways for anti anxiety effects of Schisandra chinensis. AutodockTools software was used to perform molecular docking on key active ingredients and key target proteins, and their binding energies were calculated. The molecular docking results were visualized using PyMol software.Results:The 63 effective ingredients in Shen-Qi-Wu-Wei-Zi (Shenqi Schisandra chinensis) can act on anxiety disorder through 69 targets. Among them, quercetin, luteolin, and stigmasterol are the main active ingredients, and serine threonine protein kinase 1 (AKT1) protein and interleukin-6 (IL-6) protein are key target proteins. Molecular docking technology has verified the good binding ability between these key active ingredients and key target proteins. Shenqi Schisandra mainly exerted therapeutic effects on anxiety disorders by regulating Toll like receptor signaling pathways, tumor necrosis factor (TNF) signaling pathways, cancer pathways, and other pathways.Conclusions:The Shenqi Schisandra may exert anti anxiety effects by regulating related targets such as AKT1 and IL-6, regulating inflammatory reactions, cell apoptosis, and other processes.

Objective: This study aimed to evaluate the genetic diversity, virulence, and antimicrobial resistance of isolates from clinical patients, tap water systems, and food. Methods: Ninety isolates were obtained from Ma'anshan, Anhui province, China, and subjected to multi-locus sequence typing (MLST) with six housekeeping genes. Their taxonomy was investigated using concatenated sequences, while their resistance to 12 antibiotics was evaluated. Ten putative virulence factors and several resistance genes were identified by PCR and sequencing. Results: The 90 isolates were divided into 84 sequence types, 80 of which were novel, indicating high genetic diversity. The isolates were classified into eight different species. PCR assays identified virulence genes in the isolates, with the enterotoxin and hemolysin genes , , , and found in 47 (52.2%), 13 (14.4%), 22 (24.4%), and 12 (13.3%) of the isolates, respectively. The majority of the isolates (≥ 90%) were susceptible to aztreonam, imipenem, cefepime, chloramphenicol, gentamicin, tetracycline, and ciprofloxacin. However, several resistance genes were detected in the isolates, as well as a new variant. Conclusions Sequence type, virulence properties, and antibiotic resistance vary in isolates from clinical patients, tap water systems, and food.
Aeromonas ; drug effects ; genetics ; isolation & purification ; pathogenicity ; Anti-Bacterial Agents ; pharmacology ; China ; Drinking Water ; microbiology ; Drug Resistance, Bacterial ; Food Microbiology ; Genetic Variation ; Gram-Negative Bacterial Infections ; microbiology ; Species Specificity ; Virulence

To evaluate the measurement uncertainty of 23 items of clinical biochemistry. Internal quality control and external quality assessment were used to determine the uncertainty and standard uncertainty for the 23 items detected by Hitachi 7600 automatic biochemical analyzer. The uncertainties met the requirements of CLIA'88 for allowable error before correction except those of Cl-, P, TCH and TG, and correction made those of P, TCH and TG satisfy the requirements. The top-down method contributes to the understanding of the uncertainty of clinical biochemical items, while further efforts have to be performed for the uncertainty assessment standard.

In-depth application of the combination of theory and practice is one of the keys to improve the clinical undergraduate teaching quality of clinical laboratory diagnosis.Xuanwu Hospital used ISO15189 standards as a guide to make students fully participate in establishing performance verification and recording registration form,partly participate in the gage calibration,external quality assessment and inter-laboratory comparison etc.It also used the combined form of practice with teaching to make students learn the file writing and the equipment calibration.An orderly teaching model composed of knowledge reserve,file learning,calibration and verification was established,which was a closed-loop system that enabled students to become more deeply and extensively involved in the system and more deeply understand the connotation of clinical laboratory quality.