儿科重症监护疾病严重程度工具包:计算儿科死亡率指数和儿科逻辑器官功能障碍评分的 Stata 命令。

Pub Date : 2024-01-30 eCollection Date: 2024-01-01 DOI:10.2478/jccm-2023-0033
Razvan Azamfirei, Colleen Mennie, James C Fackler, Sapna R Kudchadkar
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引用次数: 0

摘要

简介:疾病严重程度评分工具,如 PRISM III/IV、PIM-3 和 PELOD-2 等,广泛应用于儿科重症监护研究。然而,复杂的计算过程、第三方在线计算器的隐私问题以及在统计软件包中准确实施的挑战阻碍了它们的应用:我们开发了一个全面的开源工具包,用于实施 PIM-3、简化 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功能、错误信息传递功能、图形界面以及对国际单位制和英制单位的支持。通过单元测试和合成数据验证了工具包的准确性,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 的中位处理时间为 21.82 秒,对 PIM-3 的中位处理时间为 14.06 秒,对简化 PIM-3 的中位处理时间为 9.74 秒。在合成数据测试和人工抽查中,它的准确率始终保持在 100%:该工具包缩短了处理时间,提高了计算儿科重症护理严重程度评分(如 PELOD-2、PIM-3 和简化 PIM-3)的准确性。它在大型数据集中的应用和验证凸显了其作为简化儿科危重症研究工具的实用性。
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Pediatric Critical Care Illness Severity Toolkit: Stata Commands for Calculation of Pediatric Index of Mortality and Pediatric Logistic Organ Dysfunction Scores.

Introduction: 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.

Methods: 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.

Results: 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.

Conclusion: 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.

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