Department of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China.
Sci Rep. 2023 May 9;13(1):7564. doi: 10.1038/s41598-023-34495-z.
The accuracy of blood group identification is the basis of blood transfusion safety. In order to increase the detection rate of weak agglutination, unexpected antibodies (UAb) and blood subtypes for pre-transfusion testing, the blood group screening process of automated blood group analyzer (ABGA) is ameliorated by introducing one static step and establishing a suspension static method (SSM). One static step was introduced in the blood group screening process of ABGA and three static time conditions were designed: 300 s, 400 s and 500 s, from which the optimal static time was selected and SSM was established; By comparing the detection of weak agglutination and UAb before and after the application of SSM, the feasibility and effect of suspension static method were verified and evaluated. The last two steps of the automatic blood group screening process were replaced with static, light centrifugation and imaging. The optimal static time parameter was selected as 400 s and SSM was established; After the application of SSM, it was verified that: (1) The detection level of weak antibodies (anti-A and anti-B) and weak antigens (weak D phenotype) could be improved by SSM, including antibodies in plasma of known type O samples with 0, 2, 4, 8, 16 and 32 times serial dilutions(simulating weak anti-A and weak anti-B), weak antibodies (anti-B) in plasma of one normal A-type sample and weak antigens on red blood cells (RBC) of 5 weak D phenotype samples (weak D antigen); (2) Three blood donor samples (type A, O and B) with known UAb were detected by SSM. The results showed that SSM could detect both weak antibodies (anti-A and anti-B) and UAb; (3) SSM was applied to detect the samples of 3 AB and 3 subtype B blood donors and the blood subtypes could be clearly detected; (4) The number of screening samples was 95,314 and 106,814 before SSM (2018) and after (2020) the application of SSM and the positive rate of UAb (63/95,314 and 187/106,814) increased after SSM, discrepancy of which was statistically significant (χ = 48.42, P < 0.01). The above results demonstrate that SSM of ABGA is conducive to the detection of weak agglutination, UAb and blood subtypes in blood samples, which can improve the sensitivity of blood group detection and ensure the safety of clinical blood transfusion to a certain extent.
血型鉴定的准确性是输血安全的基础。为了提高弱凝集、意外抗体 (UAb) 和血型亚型的检出率,对自动化血型分析仪 (ABGA) 的血型筛查过程进行改良,引入一个静态步骤,并建立悬浮静态法 (SSM)。在 ABGA 的血型筛查过程中引入一个静态步骤,并设计了三种静态时间条件:300s、400s 和 500s,从中选择最佳的静态时间,并建立 SSM;通过比较应用 SSM 前后弱凝集和 UAb 的检测,验证和评估悬浮静态法的可行性和效果。自动血型筛查过程的最后两步被替换为静态、轻离心和成像。选择最佳的静态时间参数 400s 并建立 SSM;应用 SSM 后,验证了:(1)SSM 可提高弱抗体(抗-A 和抗-B)和弱抗原(弱 D 表型)的检测水平,包括已知 O 型样本血浆中 0、2、4、8、16 和 32 倍系列稀释液(模拟弱抗-A 和弱抗-B)、一个正常 A 型样本血浆中的弱抗体(抗-B)和 5 个弱 D 表型样本红细胞(RBC)上的弱抗原(弱 D 抗原);(2)检测 3 个已知 UAb 的血源样本(A 型、O 型和 B 型),SSM 可同时检测到弱抗体(抗-A 和抗-B)和 UAb;(3)SSM 应用于检测 3 个 AB 和 3 个亚型 B 血源样本,可清楚地检测到血型亚型;(4)SSM 应用前(2018 年)和应用后(2020 年)的筛查样本数分别为 95314 和 106814,SSM 后 UAb 的阳性率(63/95314 和 187/106814)增加,差异具有统计学意义(χ²=48.42,P<0.01)。上述结果表明,ABGA 的 SSM 有利于血液样本中弱凝集、UAb 和血型亚型的检测,可提高血型检测的灵敏度,在一定程度上保证临床输血的安全。