Objective To conduct the calibration and comparative analysis on the Mindray BC 5800 automated hematology analy-zer in our department for ensuring the traceability and consistency of experimental results .Methods The mating calibrator of the Mindray company was used to conduct the calibration in the Mindray BC5800 automated hematology analyzer ,after calibration ,the calibration verification was performed .After passing the calibration verification ,the fresh blood was conduct the fixed value ,then the Mindray BC5800 and BC5180 automated hematology analyzers were calibrated ,after calibration ,the calibration verification was conducted ,after passing the calibration verification ,with the BC5800 as the standard instrument and BC5180 as the comparison in-strument ,the comparison experiment of fresh blood was performed .Results The Mindray BC5800 ,BC5300 and BC5180 automated hematology analyzers were passed the calibration verification after calibration ,in the comparison experiment of fresh blood ,the rela-tive deviation coincidence rates of WBC ,RBC ,Hb ,MCV ,PLT ,HCT ,MCH and MCHC between BC5800 and BC5300 and between BC5800 and BC5180 all exceeded 80% ,the comparison tests were passed .Conclusion The hematology analyzer should be per-formed the calibration verification and comparison test after calibration ,and the comparison test must be passed for ensuring the traceability of results and comparability among the test results in order to meet clinical needs .

Objective To evaluate the reliability of the inhibitor enhanced carbapenem inactivation method (ieCIM) in the detection and preliminary classification of carbapenemase in gram-negative rods.Methods The carbapenem inactivation method (CIM) was modified by adding tazobactam or ethylene diamine tetraacetic acid disodium salt as carbapenemase inhibitors into the reaction system.A total of 198 isolates of Enterobacteriaceae and 35 strains of nonfermenters were collected,and their preliminary classification of carbapenemase was performed by the ieCIM.Meanwhile,their carbapenemase genes were detected by polymerase chain reaction (PCR),and the results were compared with that of the ieCIM.Results Among 198 strains of Enterobacteriaceae,101 were positive for carbapenemase genes,while 99 were detected by the CIM.Among the other 97 strains with negative carbapenemase gene,the results of the ieCIM were also negative.Among 35 strains of nonfermenters,25 were positive for carbapenemase genes,while 24 were detected by the CIM.Among the other 10 strains with negative carbapenemase gene,the results of the CIM were also negative.Using the ieCIM,97.7％ (85/87) of strains producing class A carbapenemase and 88.0％ (22/25) of strains producing class B carbapenemase were detected.Twelve strains producing class D carbapenemase and 2 strains producing both class A and class B carbapenemase were detected by the ieCIM.The total detection sensitivity and specificity of the ieCIM were 96％ and 100％,respectively.Conclusion The ieCIM has the consistent results with the detection method of carbapenemase genes,which may be used to detect and classify carbapenemase in clinical microbiology laboratories.

ObjectiveTo construct an intelligent model for literature screening， retrieval， and data extraction with a systematic review of coronary heart disease syndromes as an example， so as to improve the efficiency of evidence-based Chinese medicine research. MethodsBased on China National Knowledge Infrastructure （CNKI）， VIP and Wanfang Data Resource System， the articles related to coronary heart disease syndrome research published from January 1， 2000 to December 31， 2023 were retrieved. Automated tools were used to batch retrieve paper metadata. Using text similarity algorithms， papers were merged， deduplicated， and subjected to preliminary screening based on titles and abstracts. Further screening was performed using object detection and image processing technologies on the full texts and statistical tables. Natural language processing （NLP） techniques and pre-trained models were applied to extract information. ResultsThe initial search retrieved 56 255 coronary heart disease syndrome-related articles. By artificial intelligence-assisted preliminary and secondary screening， the manual verification scope was narrowed to 1075 articles. Ultimately， 646 coronary heart disease syndrome related studies were included manually. With accuracy verification showing over 90% consistency in semantic recognition and element decomposition processes， we achieved data extraction and standardization processing for both basic literature information and 38 syndrome element statistics. ConclusionBy incorporating natural language processing， pre-trained models， artificial intelligence image processing and other technologies， this study enabled efficient retrieval， screening and standardized data extraction of Chinese medicine research literature.