Azamfirei Razvan, Mennie Colleen, Fackler James C, Kudchadkar Sapna R
Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures, Romania.
J Crit Care Med (Targu Mures). 2024 Jan 30;10(1):16-18. doi: 10.2478/jccm-2023-0033. eCollection 2024 Jan.
Illness severity scoring tools, such as PRISM III/IV, PIM-3, and PELOD-2, are widely used in pediatric critical care research. However, their application is hindered by complex calculation processes, privacy concerns with third-party online calculators, and challenges in accurate implementation within statistical packages.
We have developed a comprehensive, open-source toolkit for implementing the PIM-3, Simplified PIM-3, and PELOD-2 scores. The toolkit includes the pim3 and pelod2 commands and is compatible with Stata versions 12 and above. It features robust data validation, error messaging, a graphical interface, and support for SI and Imperial units. The toolkit's accuracy was validated through unit testing and synthetic data, comparing results with existing implementations.
In performance tests, the toolkit exhibited a median processing time of 21.82 seconds for PELOD-2, 14.06 seconds for PIM-3, and 9.74 seconds for Simplified PIM-3, when applied to datasets of 10,000,000 records. It consistently achieved 100% accuracy in both synthetic data tests and manual spot checks.
The toolkit decreases processing time and improves accuracy in calculating pediatric critical care severity scores such as PELOD-2, PIM-3, and Simplified PIM-3. Its application in large datasets and validation highlights its utility as a tool for streamlining pediatric critical care research.
疾病严重程度评分工具,如PRISM III/IV、PIM-3和PELOD-2,在儿科重症监护研究中被广泛使用。然而,它们的应用受到复杂计算过程、对第三方在线计算器的隐私担忧以及在统计软件包中准确实施的挑战的阻碍。
我们开发了一个全面的开源工具包,用于实施PIM-3、简化版PIM-3和PELOD-2评分。该工具包包括pim3和pelod2命令,与Stata 12及以上版本兼容。它具有强大的数据验证、错误消息、图形界面,并支持国际单位制(SI)和英制单位。通过单元测试和合成数据验证了该工具包的准确性,并将结果与现有实现进行了比较。
在性能测试中,当应用于10,000,000条记录的数据集时,该工具包对PELOD-2的中位数处理时间为21.82秒,对PIM-3为14.06秒,对简化版PIM-3为9.74秒。在合成数据测试和人工抽查中,它始终达到100%的准确率。
该工具包减少了处理时间,提高了计算儿科重症监护严重程度评分(如PELOD-2、PIM-3和简化版PIM-3)的准确性。它在大型数据集中的应用和验证突出了其作为简化儿科重症监护研究工具的实用性。