Blood Center of Zhejiang Province, Hangzhou, Zhejiang, 310006, China; Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang Province, 310052, China.
Blood Center of Zhejiang Province, Hangzhou, Zhejiang, 310006, China; Key Laboratory of Blood Safety Research, Hangzhou, Zhejiang Province, 310052, China.
Transfus Apher Sci. 2020 Dec;59(6):102914. doi: 10.1016/j.transci.2020.102914. Epub 2020 Aug 27.
In 2018, Trima Accel software version 6.4 with autoflow management released in China. The purpose of this retrospective study was to evaluate the effects of autoflow management on plateletpheresis procedures, specifically concerning flow-rate alerts, collection efficiency (CE), and collection rate (CR).
A total of 2526 procedures using Trima Accel version 6.4 from Nov 2018 to Jan 2019 were included as the test arm in this study. Another 2043 procedures using version 5.1.9 from Nov 2017 to Jan 2018 were included as the control arm. We compared the low-flow alerts and no-flow alerts, collection efficiency (CE), and collections rate (CR) between the two study arms. Also, we analyzed the incidence of autoflow increases and autoflow decreases of version 6.4.
The incidence of low-flow alerts for test and control was 16.6 % and 55.3 %(χ = 754.024, p = 0.000), with the maximum number of low-flow signals of 6 and 51, respectively. The incidence of no-flow alerts for test and control was 7.8 % and 45.0 %(χ = 843.695, p = 0.000), with a maximum of 16 and 27, respectively. The CE of version 6.4 was slightly higher than version 5.1.9 (69.7 ± 6.7 % versus 68.6 ± 7.4 %). Similarly, CR was higher for version 6.4 (7.7 ± 2.1versus 7.0 ± 1.8 × 10/min). For software version 6.4, autoflow increases or autoflow decreases triggered in 99.8 % donors.
Autoflow management shows significant advantages in reducing alerts and subsequent manual intervention. We observe a higher CR and CE using Trima Accel version 6.4 than version 5.1.9, which leads to a more efficient platelet collection.
2018 年，在中国发布了 Trima Accel 软件版本 6.4 并带有自动流量管理功能。本回顾性研究旨在评估自动流量管理对血小板采集程序的影响，特别是涉及到流量警报、采集效率（CE）和采集率（CR）。
本研究纳入了 2018 年 11 月至 2019 年 1 月期间使用 Trima Accel 版本 6.4 的 2526 例程序作为实验组，另外纳入了 2017 年 11 月至 2018 年 1 月期间使用版本 5.1.9 的 2043 例程序作为对照组。我们比较了两组研究中低流量警报和无流量警报、采集效率（CE）和采集率（CR）的差异。同时，我们分析了版本 6.4 中自动流量增加和自动流量减少的发生率。
实验组和对照组的低流量警报发生率分别为 16.6%和 55.3%（χ=754.024，p=0.000），低流量信号的最大数量分别为 6 和 51。实验组和对照组的无流量警报发生率分别为 7.8%和 45.0%（χ=843.695，p=0.000），无流量信号的最大数量分别为 16 和 27。版本 6.4 的 CE 略高于版本 5.1.9（69.7±6.7%比 68.6±7.4%）。同样，版本 6.4 的 CR 也更高（7.7±2.1 比 7.0±1.8×10/min）。对于软件版本 6.4，99.8%的供者会触发自动流量增加或自动流量减少。
自动流量管理在减少警报和后续人工干预方面具有显著优势。我们观察到使用 Trima Accel 版本 6.4 比版本 5.1.9 具有更高的 CR 和 CE，这导致了更有效的血小板采集。
