{"title":"Establishment and discussion of autoverification rules for transfusion compatibility testing.","authors":"Daobo Peng, Xiaohui Wang, Jie Huang","doi":"10.1111/tme.13077","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>To develop an automated verification workflow for transfusion compatibility testing (TCT) based on the AUTO10-A guidelines and blood group serology characteristics and to conduct a simulated validation of the test and subtest results by assessing the appropriateness of the autoverification rules.</p><p><strong>Background: </strong>The accuracy of TCT results is a fundamental prerequisite for ensuring the safety of blood transfusions. However, the verification of these results still requires manual intervention.</p><p><strong>Materials and methods: </strong>Five autoverification rules and their standards were determined: agglutination intensity, normal results, logical relationships, delta checks and interlaboratory test comparisons. The established categories and standards for the five rules were retrospectively validated using 13 506 samples (requests) that had been manually verified in our laboratory from January 2020 to June 2023.</p><p><strong>Results: </strong>A total of 66 638 test items were involved in the autoverification, with 3844 items violating the verification rules, resulting in a pass rate of 96.10%. Considering individual test items, four tests had a pass rate of more than 90% in both the test item result table and the test subitem result table. However, there were significant differences in the pass rates between different tests. The same conclusion can be drawn when the unit is requests. The different standards set for the agglutination intensity and the delta check in the ABO typing testing subitems showed significant differences in pass rates.</p><p><strong>Discussion: </strong>The incorporation of manually verified results into the automated verification simulation indicated that the five rules established in this study have good applicability, and appropriate standards can lead to reasonable pass rates.</p>","PeriodicalId":23306,"journal":{"name":"Transfusion Medicine","volume":" ","pages":"413-420"},"PeriodicalIF":1.5000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transfusion Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/tme.13077","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/8/11 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: To develop an automated verification workflow for transfusion compatibility testing (TCT) based on the AUTO10-A guidelines and blood group serology characteristics and to conduct a simulated validation of the test and subtest results by assessing the appropriateness of the autoverification rules.
Background: The accuracy of TCT results is a fundamental prerequisite for ensuring the safety of blood transfusions. However, the verification of these results still requires manual intervention.
Materials and methods: Five autoverification rules and their standards were determined: agglutination intensity, normal results, logical relationships, delta checks and interlaboratory test comparisons. The established categories and standards for the five rules were retrospectively validated using 13 506 samples (requests) that had been manually verified in our laboratory from January 2020 to June 2023.
Results: A total of 66 638 test items were involved in the autoverification, with 3844 items violating the verification rules, resulting in a pass rate of 96.10%. Considering individual test items, four tests had a pass rate of more than 90% in both the test item result table and the test subitem result table. However, there were significant differences in the pass rates between different tests. The same conclusion can be drawn when the unit is requests. The different standards set for the agglutination intensity and the delta check in the ABO typing testing subitems showed significant differences in pass rates.
Discussion: The incorporation of manually verified results into the automated verification simulation indicated that the five rules established in this study have good applicability, and appropriate standards can lead to reasonable pass rates.
期刊介绍:
Transfusion Medicine publishes articles on transfusion medicine in its widest context, including blood transfusion practice (blood procurement, pharmaceutical, clinical, scientific, computing and documentary aspects), immunohaematology, immunogenetics, histocompatibility, medico-legal applications, and related molecular biology and biotechnology.
In addition to original articles, which may include brief communications and case reports, the journal contains a regular educational section (based on invited reviews and state-of-the-art reports), technical section (including quality assurance and current practice guidelines), leading articles, letters to the editor, occasional historical articles and signed book reviews. Some lectures from Society meetings that are likely to be of general interest to readers of the Journal may be published at the discretion of the Editor and subject to the availability of space in the Journal.