Treatment regimens for acute radiation syndrome have been improved over the past years. The application of appropriate therapy relies on rapid and high-throughput tests ideally conducted in the first 3 d after a radiation exposure event. We have examined the utility of blood cell counts (BCCs) 3 d post irradiation to predict clinical outcome for hematologic acute radiation syndrome (HARS). The BCCs and HARS severity information originated from data available in the System-for-Evaluation-and-Archiving-of-Radiation Accidents-based-on-Case-Histories (SEARCH). We found an almost complete discrimination of unexposed (HARS score H0) vs. irradiated individuals during model development and validation (negative predictive value > 94%) when using BCC data for all 3 d. We also found that BCC data increased the correct prediction of exposed individuals from day 1 to day 3. We developed spreadsheets to calculate the likelihood of correct diagnoses of the worried-well, requirement of hospitalization (HARS 2-4), or development of severe hematopoietic syndrome (HARS 3-4). In two table-top exercises, we found the spreadsheets were confusing and cumbersome, so we converted the spreadsheets into a smartphone application, named the H-module App, designed for ease of use, wider dissemination, and accommodation of co-morbidities in the HARS severity prediction algorithm.

中文翻译：

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一种基于血细胞计数变化预测血液学急性放射综合症的新型智能手机应用程序-H模块应用程序。

过去几年，急性放射综合症的治疗方案得到了改善。适当疗法的应用依赖于放射线照射事件发生后最初3天内理想地进行的快速且高通量的测试。我们已经检查了辐射后3天血细胞计数（BCC）的效用，以预测血液学急性放射综合症（HARS）的临床结局。BCC和HARS严重性信息来自“基于案例的辐射事故评估和存档系统”（SEARCH）中的可用数据。当在所有3 d中使用BCC数据时，我们发现在模型开发和验证期间，未受照射的个体（HARS得分H0）与受辐照的个体几乎完全相同（负预测值> 94％）。我们还发现，BCC数据从第1天到第3天增加了对暴露个体的正确预测。我们开发了电子表格，以计算出正确诊断疑难井，住院要求（HARS 2-4）或重症患者的可能性。造血综合症（HARS 3-4）。在两个桌面练习中，我们发现电子表格令人困惑且麻烦，因此我们将电子表格转换为智能手机应用程序，称为H-Module App，旨在简化易用性，更广泛地传播和将合并症纳入其中。 HARS严重性预测算法。